At a glance

In Australia, most of the disease burden is from chronic diseases. Of the seven chronic health conditions associated with a large proportion of overall mortality:

  • 1-in-4 Queenslanders 15 years and older were living with one condition (standardised prevalence 26.8%) in 2017—18
  • 1-in-5 were living with more than one of these conditions (standardised prevalence 20.0%).

Large declines were seen in mortality from coronary heart disease and stroke. From 2002 to 2020, age-standardised mortality rates declined by:

  • 2.9 times for coronary heart disease—–145.5 to 49.6 per 100,000 persons
  • 2.5 times for stroke—–66.7 to 27.2 per 100,000 persons.

For Queensland residents attending Queensland public and private hospitals in 2020–21:

  • Compared to females, age-standardised hospitalisation rates for males were 2.4 times higher for coronary heart disease, 51.7% higher for diabetes, and 44.0% higher lifestyle-related chronic conditions
  • Compared to major cities, age-standardised hospitalisation rates in remote and very remote areas were 2.9 times higher for COPD and 2.8 times higher for diabetes.
  • Compared to the most advantaged areas, age-standardised hospitalisation rates in the most disadvantaged areas were 3.0 times higher for COPD and 2.9 times higher for diabetes.
  • Disparities by remoteness and socioeconomic status were evident for other health conditions and for mortality measures.

Introduction

Chronic diseases, also known as non-communicable diseases, can be defined as diseases that have lasted, or are expected to last, more than six months. The World Health Organization (WHO) estimates that approximately 41 million people die from chronic diseases each year globally, which is equivalent to 74% of all deaths.1 Chronic diseases are often associated with older age groups, but are also strongly related to modifiable risk factors such as tobacco smoking, risky alcohol consumption, unhealthy diet and physical inactivity.2

In Australia, most of the disease burden was from chronic diseases.3 As Australia’s population ages, the number of people with chronic diseases, and associated health burden, will increase.

Chronic disease burden

For the subset of chronic conditions included in this section, the number and age-standardised rate (ASR or standardised rate) of years of healthy life lost in 2022 were:

  • Coronary heart disease: 305,620 years (standardised rate 9.0 per 1,000 persons)
  • Chronic obstructive pulmonary disease (COPD): 203,573 years (standardised rate 5.9 per 1,000 persons)
  • Asthma: 138,041 years (standardised rate 5.3 per 1,000 persons)
  • Type 2 Diabetes: 125,512 years (standardised rate 3.8 per 1,000 persons)
  • Stroke: 123,308 years (standardised rate 3.6 per 1,000 persons)

Corresponding health expenditure information for 2019—20 was $2.392 billion (coronary heart disease), $994.8 million (COPD), $899.9 million (asthma), $1.994 billion (type 2 diabetes) and $893.5 million (stroke).4

Selected health conditions

This section focuses on selected health conditions that cause high levels of morbidity and mortality but that are also preventable. It includes information from a large, regularly administered, national survey, hospitalisation data and mortality. Because much of the treatment and management of these conditions occurs in other settings, hospitalisations will under-estimate the impacts of these conditions.

Asthma

Asthma is a major, long-term disease of the respiratory system that affects both children and adults—it is one of the most common chronic diseases of childhood. Asthma is characterised by inflammation and narrowing of the small airways in the lungs leading to symptoms of cough, wheeze, shortness of breath and tightness in the chest.

Genetic susceptibility interacting with environmental factors, particularly in early childhood, increases the risk of developing asthma. There are many triggers that cause exacerbations (flare-ups) of asthma including exercise, viral infections, smoke, fumes, pollen, animal fur and feathers and changes in the weather. Asthma cannot be cured but can be managed appropriately with short- or long-term inhalers that open airways, relieves symptoms and reduce inflammation. In severe cases, asthma can lead to death.

Chronic obstructive pulmonary disease

COPD refers to a collection of preventable chronic conditions of the respiratory system that narrow the airways, obstruct airflow, and make it hard to breathe. Breathlessness is a common symptom, as is chronic cough with or without excess production of mucus and unusual tiredness. Some conditions that contribute to COPD are emphysema and chronic bronchitis. It is the 5th ranked leading cause of death for males and females in 2016–2020.5

The most significant risk factor is smoking and exposure to tobacco smoke. Other factors are occupational exposure to dusts and chemicals, air pollution, having asthma, genetics, a history of frequent respiratory infections in early childhood and exposure to burning fuels which primarily occurs in developing countries. Comorbidities such as asthma, heart disease or diabetes can affect COPD and how it is managed.

Diabetes

Diabetes is a chronic disease that occurs when either the pancreas does not produce enough insulin, a hormone that controls blood glucose, or when the body cannot effectively use the insulin it produces. Raised blood sugar (hyperglycaemia) is a common effect of diabetes and, if uncontrolled, leads to serious damage to many body systems.

  • Type 1: formerly called insulin-dependent diabetes is characterised by insufficient insulin production that requires daily administration of insulin. The causes of Type 1, and how to prevent it, remain largely unknown, however, it is thought to be due to an auto-immune reaction that destroys the cells in the pancreas that make insulin. There is an increasing body of evidence implicating certain viral infections in the development of Type 1 diabetes.
  • Type 2: formerly called non-insulin dependent diabetes results from the body’s ineffective use of insulin and is largely the result of excess body weight and physical inactivity. Type 2 diabetes used to be seen only in adults, but the prevalence of the disease is rising in younger age groups.
  • Gestational: occurs during pregnancy and is characterised by hyperglycaemia. Leading risk factors are older age, excess body weight, certain racial and ethnic backgrounds, certain medications (for example steroids) and polycystic ovary syndrome. It is the fastest growing type of diabetes in Australia. Poorly controlled gestational diabetes increases the risk of complications during pregnancy and at delivery. Gestational diabetes increases the risk of the infant developing Type 2 diabetes later in life.

Coronary heart disease

CHD is the most common heart disease within the group of conditions known as cardiovascular diseases (CVD). CHD was the leading cause of death for males and ranked 2nd for females for the period 2016–2020. It is caused by a build-up of plaque that clogs or narrows coronary arteries and reduces blood flow and oxygen to the heart. Many people are unaware that they have CHD until it causes a heart attack.

Plaque is made up of fat, cholesterol and other materials and its build-up is related to things like genetics, age, and modifiable lifestyle factors. While there are several risks that a person cannot change, things such as eating healthier and being active, quitting smoking, controlling weight, diabetes, blood pressure and cholesterol can reduce the likelihood of developing this condition, having a heart attack, and improve recovery after a heart attack.

Stroke

Stroke is the most common condition in the CVD group. Stroke is the term commonly applied to events that reduce the blood flow to the brain through either a blocked or burst artery. This leads to the death of brain cells due to a lack of oxygen and nutrients from a lack of blood supply. The impact of stroke differs according to where the damage to the brain occurs. Stoke can occur at any age (including children) but is more common in older adults, particularly men.

Stroke is largely preventable with risk factors including high blood pressure, being overweight, smoking, high cholesterol, high alcohol intake and diabetes. A condition called transient ischaemic attack, in which the blood supply to the brain is blocked temporarily, is an important predictor of stroke.

Self-reported chronic conditions

Population surveys are important to understand how many people are living with chronic conditions. Chronic conditions are managed in a variety of settings including GP practices, allied health centres, other outpatient services and through self-management. This may cause hospitalisation records to underestimate the prevalence of these conditions. Conversely, some chronic conditions that must be treated in hospital, such as some cancer treatments, or require multiple courses of treatment, may overestimate prevalence of some conditions. Using multiple information sources provides a more complete picture.

Selected chronic conditions

A subset of chronic conditions were included on the National Health Survey (NHS) since 2001 (arthritis, asthma, back problems, cancer, COPD, diabetes, kidney disease, osteoporosis, and heart, stroke and vascular disease). The 2017–18 NHS is the most recent information using consistent data collection methods for these selected chronic conditions.

Chronic conditions are a significant cause of both morbidity and mortality and in 2020 nearly 90% of all deaths were associated with one of those ten selected chronic conditions nationally.6 In 2017–18, for people age 15 years and older:

  • about 1-in-4 Queenslanders were living with one chronic condition (standardised prevalence 26.8%)
  • about 1-in-5 were living with more than one of these conditions (standardised prevalence 20.0%)—–known as being multimorbid.7

Selected chronic conditions trends in people 15 years and older from 2001 to 2017–18 showed (Figure 1):

  • The standardised prevalence of back pain declined from about 23% to 13% from 2001 to 2011–12, however, rose again to 16% in 2014–15 and did not change in 2017–18.8
  • The standardised prevalence of arthritis declined from 14% to 12% over the same time period.
Figure 1: Queensland trends in selected chronic conditions

Selected long-term health conditions

In the 2021 Census, questions about long-term health condition were asked for the first time.9 While other data sources, such as the NHS, remain the recommended primary source for long-term condition prevalence, the 2021 Census data provide important regional insights.10

According to the 2021 Census, in Queensland, approximately 32.9% of people reported living with at least one long-term health condition (Figure 2). For those 75 years and older, this increased to 69.6%.

In Queensland, about:

  • 9.6% live with a mental health condition (including depression or anxiety)—13.0% for adults 18 to 29 years
  • 8.8% live with arthritis
  • 8.5% live with asthma
  • 4.5% live with diabetes (excluding gestational diabetes).

People are also living with more than one health condition (multimorbidity).

  • 7.4% of people 45 years and older and 16.2% of people 75 years and older reported living with three or more long-term health conditions
  • 17.1% of people who reported living with a mental health condition (including depression or anxiety) also have two or more other selected long-term health conditions. This increased to 59.7% for people 75 years and older
  • 30.4% of people who reported living with cancer also have two or more other selected long-term health conditions.
Figure 2: Selected long-term health conditions, Queensland, 2021

Please refer to technical note below and on the Notes tab in Figure 2 for further information about these results.

Hospitalisations

Demographic differences

Hospitalisation rates for chronic conditions often vary by age and by sex. In Queensland in 2020–21:

  • males had higher standardised hospitalisation rates than females for CHD (2.4 times higher), diabetes (51.7% higher), and the lifestyle-related chronic conditions (44.0% higher)
  • children 0 to 14 years have higher age-specific rates for asthma than older age groups (Figure 3).11 While males have much higher hospitalisation rate in this age group for asthma, in other age groups females are higher
  • CHD was higher in males especially in older age groups—in adults 65 years and older, rates were 2.1 times higher than females (37.4 compared to 17.4 per 1,000, respectively)
  • diabetes was higher in males especially in older age groups—in adults 65 years and older, rates were 2.1 times higher than females (9.6 compared to 4.6 per 1,000, respectively).

Rate ratios in this section were calculated with higher precision than the presented numbers. See Technical notes.

Figure 3: Queensland hospitalisations for selected chronic conditions, 2020–21

Figure 3a: Queensland hospitalisations for selected chronic conditions, 2020–21 (asthma)
Bar chart of hospitalisation rates per 1,000 for asthma for latest years by sex and age group, showing highest rates among 0 tot 14 year olds.
Figure 3b: Queensland hospitalisations for selected chronic conditions, 2020–21 (COPD)
Bar chart of hospitalisation rates per 1,000 for COPD for latest years by sex and age group, showing highest rates among 65 and older age group.
Figure 3c: Queensland hospitalisations for selected chronic conditions, 2020–21 (coronary heart disease)
Bar chart of hospitalisation rates per 1,000 for coronary heart disease for latest years by sex and age group, showing highest rates among 65 and older age group
Figure 3d: Queensland hospitalisations for selected chronic conditions, 2020–21 (stroke)
Bar chart of hospitalisation rates per 1,000 for stroke for latest years by  sex and age group, showing highest rates among 65 and older age group
Figure 3e: Queensland hospitalisations for selected chronic conditions, 2020–21 (diabetes)
Bar chart of hospitalisation rates per 1,000 for diabetes for latest years by  sex and age group, showing highest rates among 65 and older age group
Figure 3f: Queensland hospitalisations for selected chronic conditions, 2020–21 (lifestyle-related chronic conditions)
Bar chart of hospitalisation rates per 1,000 for lifestyle-related chronic conditions for latest years by sex and age group, showing highest rates among 65 and older age group

Figure 3g: Queensland hospitalisations for selected chronic conditions, 2020–21 (table) Ordered by condition, demography type, type and demography

Condition Demography typeTypeDemography Rates per 1,000
Asthma Sex Crude Rate Males 0.9
Asthma Sex Crude Rate Females 1.4
Asthma Sex Crude Rate Persons 1.1
Asthma Sex Age Standardised Rate Males 0.9
Asthma Sex Age Standardised Rate Females 1.4
Asthma Sex Age Standardised Rate Persons 1.1
Asthma Males Age-Specific Rate 0-14 2.5
Asthma Males Age-Specific Rate 15-29 0.5
Asthma Males Age-Specific Rate 30-44 0.5
Asthma Males Age-Specific Rate 45-64 0.5
Asthma Males Age-Specific Rate 65+ 0.8
Asthma Females Age-Specific Rate 0-14 1.5
Asthma Females Age-Specific Rate 15-29 1.2
Asthma Females Age-Specific Rate 30-44 1.2
Asthma Females Age-Specific Rate 45-64 1.4
Asthma Females Age-Specific Rate 65+ 1.6
Asthma Persons Age-Specific Rate 0-14 2.0
Asthma Persons Age-Specific Rate 15-29 0.8
Asthma Persons Age-Specific Rate 30-44 0.8
Asthma Persons Age-Specific Rate 45-64 0.9
Asthma Persons Age-Specific Rate 65+ 1.2
COPD Sex Crude Rate Males 2.7
COPD Sex Crude Rate Females 2.5
COPD Sex Crude Rate Persons 2.6
COPD Sex Age Standardised Rate Males 2.3
COPD Sex Age Standardised Rate Females 2.0
COPD Sex Age Standardised Rate Persons 2.1
COPD Males Age-Specific Rate 30-44 0.2
COPD Males Age-Specific Rate 45-64 2.3
COPD Males Age-Specific Rate 65+ 13.3
COPD Females Age-Specific Rate 30-44 0.2
COPD Females Age-Specific Rate 45-64 2.7
COPD Females Age-Specific Rate 65+ 10.7
COPD Persons Age-Specific Rate 30-44 0.2
COPD Persons Age-Specific Rate 45-64 2.5
COPD Persons Age-Specific Rate 65+ 11.9
Diabetes Sex Crude Rate Males 3.1
Diabetes Sex Crude Rate Females 2.0
Diabetes Sex Crude Rate Persons 2.6
Diabetes Sex Age Standardised Rate Males 2.8
Diabetes Sex Age Standardised Rate Females 1.9
Diabetes Sex Age Standardised Rate Persons 2.3
Diabetes Males Age-Specific Rate 30-44 1.4
Diabetes Males Age-Specific Rate 45-64 4.1
Diabetes Males Age-Specific Rate 65+ 9.6
Diabetes Females Age-Specific Rate 30-44 1.1
Diabetes Females Age-Specific Rate 45-64 2.4
Diabetes Females Age-Specific Rate 65+ 4.6
Diabetes Persons Age-Specific Rate 30-44 1.3
Diabetes Persons Age-Specific Rate 45-64 3.2
Diabetes Persons Age-Specific Rate 65+ 7.0
Coronary heart disease Sex Crude Rate Males 9.4
Coronary heart disease Sex Crude Rate Females 4.2
Coronary heart disease Sex Crude Rate Persons 6.8
Coronary heart disease Sex Age Standardised Rate Males 8.1
Coronary heart disease Sex Age Standardised Rate Females 3.4
Coronary heart disease Sex Age Standardised Rate Persons 5.7
Coronary heart disease Males Age-Specific Rate 30-44 1.5
Coronary heart disease Males Age-Specific Rate 45-64 13.6
Coronary heart disease Males Age-Specific Rate 65+ 37.4
Coronary heart disease Females Age-Specific Rate 30-44 0.5
Coronary heart disease Females Age-Specific Rate 45-64 4.8
Coronary heart disease Females Age-Specific Rate 65+ 17.4
Coronary heart disease Persons Age-Specific Rate 30-44 1.0
Coronary heart disease Persons Age-Specific Rate 45-64 9.1
Coronary heart disease Persons Age-Specific Rate 65+ 26.9
Stroke Sex Crude Rate Males 3.2
Stroke Sex Crude Rate Females 2.7
Stroke Sex Crude Rate Persons 2.9
Stroke Sex Age Standardised Rate Males 2.8
Stroke Sex Age Standardised Rate Females 2.1
Stroke Sex Age Standardised Rate Persons 2.5
Stroke Males Age-Specific Rate 30-44 0.5
Stroke Males Age-Specific Rate 45-64 3.3
Stroke Males Age-Specific Rate 65+ 14.6
Stroke Females Age-Specific Rate 30-44 0.6
Stroke Females Age-Specific Rate 45-64 2.4
Stroke Females Age-Specific Rate 65+ 11.4
Stroke Persons Age-Specific Rate 30-44 0.6
Stroke Persons Age-Specific Rate 45-64 2.8
Stroke Persons Age-Specific Rate 65+ 12.9
7 lifestyle-related chronic conditions Sex Crude Rate Males 27.9
7 lifestyle-related chronic conditions Sex Crude Rate Females 20.1
7 lifestyle-related chronic conditions Sex Crude Rate Persons 23.9
7 lifestyle-related chronic conditions Sex Age Standardised Rate Males 24.4
7 lifestyle-related chronic conditions Sex Age Standardised Rate Females 16.9
7 lifestyle-related chronic conditions Sex Age Standardised Rate Persons 20.5
7 lifestyle-related chronic conditions Males Age-Specific Rate 30-44 4.4
7 lifestyle-related chronic conditions Males Age-Specific Rate 45-64 27.7
7 lifestyle-related chronic conditions Males Age-Specific Rate 65+ 93.2
7 lifestyle-related chronic conditions Females Age-Specific Rate 30-44 4.4
7 lifestyle-related chronic conditions Females Age-Specific Rate 45-64 19.1
7 lifestyle-related chronic conditions Females Age-Specific Rate 65+ 62.0
7 lifestyle-related chronic conditions Persons Age-Specific Rate 30-44 4.4
7 lifestyle-related chronic conditions Persons Age-Specific Rate 45-64 23.3
7 lifestyle-related chronic conditions Persons Age-Specific Rate 65+ 76.9

Remoteness and sociodemographic differences

Hospitalisation rates for people living in remote and more disadvantaged areas are higher for some conditions.

In 2020–21, standardised hospitalisation rates were higher in remote areas compared to major cities for the following conditions:

  • 45.7% for asthma (1.7 compared to 1.1 per 1,000 persons, respectively)
  • 2.9 times for COPD (5.2 compared to 1.8 per 1,000 persons, respectively)
  • 2.8 times for diabetes (5.5 compared to 2.0 per 1,000 persons, respectively)
  • 74.0% for coronary heart disease (8.8 compared to 5.1 per 1,000 persons, respectively)
  • 68.3% for stroke (3.8 compared to 2.3 per 1,000 persons, respectively)
  • 76.1% for the 7 lifestyle-related chronic conditions (33.5 compared to 19.0 per 1,000 persons 15 years and older, respectively).

In 2020–21, the hospitalisation standardised rates were higher in the most disadvantaged areas compared to the most advantaged areas for the following conditions:

  • 70.4% for asthma (1.5 compared to 0.9 per 1,000 persons, respectively)
  • 3.0 times for COPD (3.3 compared to 1.1 per 1,000 persons, respectively)
  • 2.9 times for diabetes (3.9 compared to 1.4 per 1,000 persons, respectively)
  • 42.4% for coronary heart disease (6.9 compared to 4.8 per 1,000 persons, respectively)
  • 54.8% for stroke (2.9 compared to 1.9 per 1,000 persons, respectively)
  • 53.0% for the 7 lifestyle-related chronic conditions (25.9 compared to 17.0 per 1,000 persons 15 years and older, respectively).

Figure 4: Queensland hospitalisations for selected chronic conditions by remoteness and socioeconomic status, 2020–21

Figure 4a: Queensland hospitalisations for selected chronic conditions by remoteness and socioeconomic status, 2020–21 (asthma)
Standardised hospitalisation rates by remoteness area and SEIFA for asthma, where rates for remote areas and areas that are socioeconomically disadvantaged show higher rates than other regions.
Figure 4b: Queensland hospitalisations for selected chronic conditions by remoteness and socioeconomic status, 2020–21 (COPD)
Standardised hospitalisation rates by remoteness area and SEIFA for COPD, where rates for remote areas and areas that are socioeconomically disadvantaged show higher rates than other regions.
Figure 4c: Queensland hospitalisations for selected chronic conditions by remoteness and socioeconomic status, 2020–21 (diabetes)
Standardised hospitalisation rates by remoteness area and SEIFA for diabetes, where rates for remote areas and areas that are socioeconomically disadvantaged show higher rates than other regions.
Figure 4d: Queensland hospitalisations for selected chronic conditions by remoteness and socioeconomic status, 2020–21 (coronary heart disease)
Standardised hospitalisation rates by remoteness area and SEIFA for coronary heart disease, where rates for remote areas and areas that are socioeconomically disadvantaged show higher rates than other regions.
Figure 4e: Queensland hospitalisations for selected chronic conditions by remoteness and socioeconomic status, 2020–21 (stroke)
Standardised hospitalisation rates by remoteness area and SEIFA for stroke, where rates for remote areas and areas that are socioeconomically disadvantaged show higher rates than other regions.
Figure 4f: Queensland hospitalisations for selected chronic conditions by remoteness and socioeconomic status, 2020–21 (lifestyle-related chronic conditions)
Standardised hospitalisation rates by remoteness area and SEIFA for lifestyle-related chronic conditions, where rates for remote areas and areas that are socioeconomically disadvantaged show higher rates than other regions.

Figure 4g: Queensland hospitalisations for selected chronic conditions by remoteness and socioeconomic status, 2020–21 (table) Ordered by condition, area classification, type and area category

Condition Area classificationType Area category Rate per 1,000
Asthma Remoteness Crude Rate Major cities 1.1
Asthma Remoteness Crude Rate Inner regional 1.1
Asthma Remoteness Crude Rate Outer regional 1.2
Asthma Remoteness Crude Rate Remote 1.7
Asthma Remoteness Age Standardised Rate Major cities 1.1
Asthma Remoteness Age Standardised Rate Inner regional 1.1
Asthma Remoteness Age Standardised Rate Outer regional 1.2
Asthma Remoteness Age Standardised Rate Remote 1.7
Asthma Socioeconomic status Crude Rate Most disadvantaged 1.5
Asthma Socioeconomic status Crude Rate Q2 1.3
Asthma Socioeconomic status Crude Rate Q3 1.0
Asthma Socioeconomic status Crude Rate Q4 1.2
Asthma Socioeconomic status Crude Rate Most advantaged 0.9
Asthma Socioeconomic status Age Standardised Rate Most disadvantaged 1.5
Asthma Socioeconomic status Age Standardised Rate Q2 1.3
Asthma Socioeconomic status Age Standardised Rate Q3 1.0
Asthma Socioeconomic status Age Standardised Rate Q4 1.1
Asthma Socioeconomic status Age Standardised Rate Most advantaged 0.9
COPD Remoteness Crude Rate Major cities 2.1
COPD Remoteness Crude Rate Inner regional 3.6
COPD Remoteness Crude Rate Outer regional 3.2
COPD Remoteness Crude Rate Remote 5.3
COPD Remoteness Age Standardised Rate Major cities 1.8
COPD Remoteness Age Standardised Rate Inner regional 2.4
COPD Remoteness Age Standardised Rate Outer regional 2.6
COPD Remoteness Age Standardised Rate Remote 5.2
COPD Socioeconomic status Crude Rate Most disadvantaged 4.5
COPD Socioeconomic status Crude Rate Q2 3.4
COPD Socioeconomic status Crude Rate Q3 2.2
COPD Socioeconomic status Crude Rate Q4 1.8
COPD Socioeconomic status Crude Rate Most advantaged 1.2
COPD Socioeconomic status Age Standardised Rate Most disadvantaged 3.3
COPD Socioeconomic status Age Standardised Rate Q2 2.5
COPD Socioeconomic status Age Standardised Rate Q3 1.9
COPD Socioeconomic status Age Standardised Rate Q4 1.6
COPD Socioeconomic status Age Standardised Rate Most advantaged 1.1
Diabetes Remoteness Crude Rate Major cities 2.1
Diabetes Remoteness Crude Rate Inner regional 3.1
Diabetes Remoteness Crude Rate Outer regional 3.3
Diabetes Remoteness Crude Rate Remote 5.5
Diabetes Remoteness Age Standardised Rate Major cities 2.0
Diabetes Remoteness Age Standardised Rate Inner regional 2.6
Diabetes Remoteness Age Standardised Rate Outer regional 2.9
Diabetes Remoteness Age Standardised Rate Remote 5.5
Diabetes Socioeconomic status Crude Rate Most disadvantaged 4.4
Diabetes Socioeconomic status Crude Rate Q2 3.1
Diabetes Socioeconomic status Crude Rate Q3 2.2
Diabetes Socioeconomic status Crude Rate Q4 1.9
Diabetes Socioeconomic status Crude Rate Most advantaged 1.4
Diabetes Socioeconomic status Age Standardised Rate Most disadvantaged 3.9
Diabetes Socioeconomic status Age Standardised Rate Q2 2.6
Diabetes Socioeconomic status Age Standardised Rate Q3 2.0
Diabetes Socioeconomic status Age Standardised Rate Q4 1.8
Diabetes Socioeconomic status Age Standardised Rate Most advantaged 1.4
Coronary heart disease Remoteness Crude Rate Major cities 5.8
Coronary heart disease Remoteness Crude Rate Inner regional 9.1
Coronary heart disease Remoteness Crude Rate Outer regional 7.9
Coronary heart disease Remoteness Crude Rate Remote 8.9
Coronary heart disease Remoteness Age Standardised Rate Major cities 5.1
Coronary heart disease Remoteness Age Standardised Rate Inner regional 6.5
Coronary heart disease Remoteness Age Standardised Rate Outer regional 6.5
Coronary heart disease Remoteness Age Standardised Rate Remote 8.8
Coronary heart disease Socioeconomic status Crude Rate Most disadvantaged 9.0
Coronary heart disease Socioeconomic status Crude Rate Q2 8.1
Coronary heart disease Socioeconomic status Crude Rate Q3 6.1
Coronary heart disease Socioeconomic status Crude Rate Q4 5.8
Coronary heart disease Socioeconomic status Crude Rate Most advantaged 5.1
Coronary heart disease Socioeconomic status Age Standardised Rate Most disadvantaged 6.9
Coronary heart disease Socioeconomic status Age Standardised Rate Q2 6.1
Coronary heart disease Socioeconomic status Age Standardised Rate Q3 5.3
Coronary heart disease Socioeconomic status Age Standardised Rate Q4 5.2
Coronary heart disease Socioeconomic status Age Standardised Rate Most advantaged 4.8
Stroke Remoteness Crude Rate Major cities 2.6
Stroke Remoteness Crude Rate Inner regional 3.8
Stroke Remoteness Crude Rate Outer regional 3.2
Stroke Remoteness Crude Rate Remote 3.5
Stroke Remoteness Age Standardised Rate Major cities 2.3
Stroke Remoteness Age Standardised Rate Inner regional 2.8
Stroke Remoteness Age Standardised Rate Outer regional 2.7
Stroke Remoteness Age Standardised Rate Remote 3.8
Stroke Socioeconomic status Crude Rate Most disadvantaged 3.9
Stroke Socioeconomic status Crude Rate Q2 3.5
Stroke Socioeconomic status Crude Rate Q3 3.0
Stroke Socioeconomic status Crude Rate Q4 2.5
Stroke Socioeconomic status Crude Rate Most advantaged 2.0
Stroke Socioeconomic status Age Standardised Rate Most disadvantaged 2.9
Stroke Socioeconomic status Age Standardised Rate Q2 2.6
Stroke Socioeconomic status Age Standardised Rate Q3 2.6
Stroke Socioeconomic status Age Standardised Rate Q4 2.2
Stroke Socioeconomic status Age Standardised Rate Most advantaged 1.9
7 lifestyle-related chronic conditions Remoteness Crude Rate Major cities 21.1
7 lifestyle-related chronic conditions Remoteness Crude Rate Inner regional 30.1
7 lifestyle-related chronic conditions Remoteness Crude Rate Outer regional 26.8
7 lifestyle-related chronic conditions Remoteness Crude Rate Remote 34.9
7 lifestyle-related chronic conditions Remoteness Age Standardised Rate Major cities 19.0
7 lifestyle-related chronic conditions Remoteness Age Standardised Rate Inner regional 22.1
7 lifestyle-related chronic conditions Remoteness Age Standardised Rate Outer regional 22.6
7 lifestyle-related chronic conditions Remoteness Age Standardised Rate Remote 33.5
7 lifestyle-related chronic conditions Socioeconomic status Crude Rate Most disadvantaged 33.4
7 lifestyle-related chronic conditions Socioeconomic status Crude Rate Q2 28.0
7 lifestyle-related chronic conditions Socioeconomic status Crude Rate Q3 22.0
7 lifestyle-related chronic conditions Socioeconomic status Crude Rate Q4 20.2
7 lifestyle-related chronic conditions Socioeconomic status Crude Rate Most advantaged 17.2
7 lifestyle-related chronic conditions Socioeconomic status Age Standardised Rate Most disadvantaged 25.9
7 lifestyle-related chronic conditions Socioeconomic status Age Standardised Rate Q2 21.7
7 lifestyle-related chronic conditions Socioeconomic status Age Standardised Rate Q3 19.4
7 lifestyle-related chronic conditions Socioeconomic status Age Standardised Rate Q4 18.4
7 lifestyle-related chronic conditions Socioeconomic status Age Standardised Rate Most advantaged 17.0

Trend

In Australia and Queensland, hospitalisation rates for circulatory conditions, such as CHD, have declined over the last two decades. In 2002-03, the standardised hospitalisation rate for CHD was 8.8 per 1,000 persons compared to 5.7 per 1,000 persons in 2020-21.

The gap in COPD standardised hospitalisation rates between males and females narrowed—male rates were 1.7 times higher than females in 2002-03 reducing to 1.1 in 2020-21.

Although diabetes in Australia has increased during those time periods,12 hospitalisation rates for diabetes have fluctuated over the years. This is largely due to the changes in the Australian Coding Standards over the last decade, especially those that came effect in July 2010 (7th edition).13,14 While this makes interpreting diabetes trends more challenging, over the past decade hospitalisation rates have slowly increased.

Figure 5: Trends in Queensland hospitalisations for selected chronic conditions

Figure 5a: Trends in Queensland hospitalisations for selected chronic conditions (asthma)
Line chart of trend of hospitalisation rates per 1,000 for asthma by sex
Figure 5b: Trends in Queensland hospitalisations for selected chronic conditions (COPD)
Line chart of trend of hospitalisation rates per 1,000 for COPD by sex
Figure 5c: Trends in Queensland hospitalisations for selected chronic conditions (diabetes)
Line chart of trend of hospitalisation rates per 1,000 for diabetes by sex
Figure 5d: Trends in Queensland hospitalisations for selected chronic conditions (coronary heart disease)
Line chart of trend of hospitalisation rates per 1,000 for coronary heart disease by sex
Figure 5e: Trends in Queensland hospitalisations for selected chronic conditions (stroke)
Line chart of trend of hospitalisation rates per 1,000 for stroke by sex
Figure 5f: Trends in Queensland hospitalisations for selected chronic conditions (lifestyle-related chronic conditions)
Line chart of trend of hospitalisation rates per 1,000 for lifestyle-related chronic conditions by sex

Figure 5g: Trends in Queensland hospitalisations for selected chronic conditions (table) Ordered by condition, sex and year

ConditionSexYearASR (per 1,000)
AsthmaMales2002-031.5
AsthmaMales2003-041.6
AsthmaMales2004-051.6
AsthmaMales2005-061.5
AsthmaMales2006-071.2
AsthmaMales2007-081.5
AsthmaMales2008-091.3
AsthmaMales2009-101.6
AsthmaMales2010-111.4
AsthmaMales2011-121.4
AsthmaMales2012-131.5
AsthmaMales2013-141.4
AsthmaMales2014-151.5
AsthmaMales2015-161.4
AsthmaMales2016-171.4
AsthmaMales2017-181.4
AsthmaMales2018-191.4
AsthmaMales2019-201.1
AsthmaMales2020-210.9
AsthmaFemales2002-031.9
AsthmaFemales2003-041.9
AsthmaFemales2004-051.8
AsthmaFemales2005-061.8
AsthmaFemales2006-071.6
AsthmaFemales2007-081.8
AsthmaFemales2008-091.7
AsthmaFemales2009-101.9
AsthmaFemales2010-111.7
AsthmaFemales2011-121.8
AsthmaFemales2012-131.9
AsthmaFemales2013-141.7
AsthmaFemales2014-152.0
AsthmaFemales2015-162.1
AsthmaFemales2016-172.0
AsthmaFemales2017-182.1
AsthmaFemales2018-192.0
AsthmaFemales2019-201.8
AsthmaFemales2020-211.4
AsthmaPersons2002-031.7
AsthmaPersons2003-041.8
AsthmaPersons2004-051.7
AsthmaPersons2005-061.6
AsthmaPersons2006-071.4
AsthmaPersons2007-081.7
AsthmaPersons2008-091.5
AsthmaPersons2009-101.8
AsthmaPersons2010-111.6
AsthmaPersons2011-121.6
AsthmaPersons2012-131.7
AsthmaPersons2013-141.6
AsthmaPersons2014-151.7
AsthmaPersons2015-161.8
AsthmaPersons2016-171.7
AsthmaPersons2017-181.8
AsthmaPersons2018-191.7
AsthmaPersons2019-201.5
AsthmaPersons2020-211.1
COPDMales2002-033.6
COPDMales2003-043.6
COPDMales2004-053.6
COPDMales2005-063.3
COPDMales2006-073.2
COPDMales2007-083.4
COPDMales2008-093.4
COPDMales2009-103.3
COPDMales2010-113.3
COPDMales2011-123.4
COPDMales2012-133.3
COPDMales2013-143.0
COPDMales2014-153.2
COPDMales2015-163.3
COPDMales2016-173.5
COPDMales2017-183.6
COPDMales2018-193.3
COPDMales2019-202.9
COPDMales2020-212.3
COPDFemales2002-032.1
COPDFemales2003-042.1
COPDFemales2004-052.0
COPDFemales2005-062.1
COPDFemales2006-072.0
COPDFemales2007-082.2
COPDFemales2008-092.4
COPDFemales2009-102.3
COPDFemales2010-112.4
COPDFemales2011-122.4
COPDFemales2012-132.5
COPDFemales2013-142.4
COPDFemales2014-152.6
COPDFemales2015-162.8
COPDFemales2016-173.0
COPDFemales2017-183.1
COPDFemales2018-192.9
COPDFemales2019-202.7
COPDFemales2020-212.0
COPDPersons2002-032.8
COPDPersons2003-042.7
COPDPersons2004-052.7
COPDPersons2005-062.6
COPDPersons2006-072.5
COPDPersons2007-082.7
COPDPersons2008-092.8
COPDPersons2009-102.7
COPDPersons2010-112.8
COPDPersons2011-122.8
COPDPersons2012-132.9
COPDPersons2013-142.7
COPDPersons2014-152.8
COPDPersons2015-163.0
COPDPersons2016-173.2
COPDPersons2017-183.3
COPDPersons2018-193.1
COPDPersons2019-202.8
COPDPersons2020-212.1
DiabetesMales2002-032.9
DiabetesMales2003-043.1
DiabetesMales2004-053.8
DiabetesMales2005-064.1
DiabetesMales2006-074.3
DiabetesMales2007-084.7
DiabetesMales2008-094.5
DiabetesMales2009-104.6
DiabetesMales2010-112.0
DiabetesMales2011-122.1
DiabetesMales2012-132.3
DiabetesMales2013-142.2
DiabetesMales2014-152.4
DiabetesMales2015-162.5
DiabetesMales2016-172.5
DiabetesMales2017-182.6
DiabetesMales2018-192.6
DiabetesMales2019-202.7
DiabetesMales2020-212.8
DiabetesFemales2002-032.2
DiabetesFemales2003-042.3
DiabetesFemales2004-052.9
DiabetesFemales2005-063.0
DiabetesFemales2006-073.2
DiabetesFemales2007-083.7
DiabetesFemales2008-093.5
DiabetesFemales2009-103.5
DiabetesFemales2010-111.5
DiabetesFemales2011-121.5
DiabetesFemales2012-131.6
DiabetesFemales2013-141.5
DiabetesFemales2014-151.7
DiabetesFemales2015-161.7
DiabetesFemales2016-171.6
DiabetesFemales2017-181.8
DiabetesFemales2018-191.8
DiabetesFemales2019-201.8
DiabetesFemales2020-211.9
DiabetesPersons2002-032.5
DiabetesPersons2003-042.7
DiabetesPersons2004-053.3
DiabetesPersons2005-063.5
DiabetesPersons2006-073.7
DiabetesPersons2007-084.2
DiabetesPersons2008-094.0
DiabetesPersons2009-104.0
DiabetesPersons2010-111.8
DiabetesPersons2011-121.8
DiabetesPersons2012-131.9
DiabetesPersons2013-141.8
DiabetesPersons2014-152.0
DiabetesPersons2015-162.1
DiabetesPersons2016-172.0
DiabetesPersons2017-182.2
DiabetesPersons2018-192.2
DiabetesPersons2019-202.2
DiabetesPersons2020-212.3
Coronary heart diseaseMales2002-0311.9
Coronary heart diseaseMales2003-0411.9
Coronary heart diseaseMales2004-0511.5
Coronary heart diseaseMales2005-0610.8
Coronary heart diseaseMales2006-0710.9
Coronary heart diseaseMales2007-0811.0
Coronary heart diseaseMales2008-0910.1
Coronary heart diseaseMales2009-109.4
Coronary heart diseaseMales2010-119.5
Coronary heart diseaseMales2011-129.6
Coronary heart diseaseMales2012-139.2
Coronary heart diseaseMales2013-149.1
Coronary heart diseaseMales2014-158.6
Coronary heart diseaseMales2015-169.2
Coronary heart diseaseMales2016-179.2
Coronary heart diseaseMales2017-189.1
Coronary heart diseaseMales2018-198.8
Coronary heart diseaseMales2019-208.4
Coronary heart diseaseMales2020-218.1
Coronary heart diseaseFemales2002-035.8
Coronary heart diseaseFemales2003-045.7
Coronary heart diseaseFemales2004-055.6
Coronary heart diseaseFemales2005-065.2
Coronary heart diseaseFemales2006-075.3
Coronary heart diseaseFemales2007-085.2
Coronary heart diseaseFemales2008-095.0
Coronary heart diseaseFemales2009-104.6
Coronary heart diseaseFemales2010-114.7
Coronary heart diseaseFemales2011-124.6
Coronary heart diseaseFemales2012-134.4
Coronary heart diseaseFemales2013-144.2
Coronary heart diseaseFemales2014-154.0
Coronary heart diseaseFemales2015-164.1
Coronary heart diseaseFemales2016-173.9
Coronary heart diseaseFemales2017-184.1
Coronary heart diseaseFemales2018-193.8
Coronary heart diseaseFemales2019-203.5
Coronary heart diseaseFemales2020-213.4
Coronary heart diseasePersons2002-038.8
Coronary heart diseasePersons2003-048.7
Coronary heart diseasePersons2004-058.5
Coronary heart diseasePersons2005-067.9
Coronary heart diseasePersons2006-078.0
Coronary heart diseasePersons2007-088.1
Coronary heart diseasePersons2008-097.5
Coronary heart diseasePersons2009-106.9
Coronary heart diseasePersons2010-117.0
Coronary heart diseasePersons2011-127.0
Coronary heart diseasePersons2012-136.7
Coronary heart diseasePersons2013-146.6
Coronary heart diseasePersons2014-156.2
Coronary heart diseasePersons2015-166.6
Coronary heart diseasePersons2016-176.5
Coronary heart diseasePersons2017-186.5
Coronary heart diseasePersons2018-196.2
Coronary heart diseasePersons2019-205.9
Coronary heart diseasePersons2020-215.7
StrokeMales2002-033.0
StrokeMales2003-042.9
StrokeMales2004-052.9
StrokeMales2005-062.9
StrokeMales2006-072.9
StrokeMales2007-082.8
StrokeMales2008-092.8
StrokeMales2009-102.8
StrokeMales2010-112.8
StrokeMales2011-122.8
StrokeMales2012-132.9
StrokeMales2013-142.7
StrokeMales2014-152.8
StrokeMales2015-162.8
StrokeMales2016-172.8
StrokeMales2017-182.7
StrokeMales2018-192.7
StrokeMales2019-202.7
StrokeMales2020-212.8
StrokeFemales2002-032.2
StrokeFemales2003-042.2
StrokeFemales2004-052.1
StrokeFemales2005-062.2
StrokeFemales2006-072.1
StrokeFemales2007-082.1
StrokeFemales2008-092.2
StrokeFemales2009-102.1
StrokeFemales2010-112.2
StrokeFemales2011-122.1
StrokeFemales2012-132.2
StrokeFemales2013-142.2
StrokeFemales2014-152.2
StrokeFemales2015-162.2
StrokeFemales2016-172.2
StrokeFemales2017-182.2
StrokeFemales2018-192.1
StrokeFemales2019-202.1
StrokeFemales2020-212.1
StrokePersons2002-032.6
StrokePersons2003-042.6
StrokePersons2004-052.5
StrokePersons2005-062.5
StrokePersons2006-072.5
StrokePersons2007-082.4
StrokePersons2008-092.4
StrokePersons2009-102.4
StrokePersons2010-112.5
StrokePersons2011-122.5
StrokePersons2012-132.5
StrokePersons2013-142.4
StrokePersons2014-152.5
StrokePersons2015-162.5
StrokePersons2016-172.5
StrokePersons2017-182.5
StrokePersons2018-192.4
StrokePersons2019-202.4
StrokePersons2020-212.5
7 lifestyle-related chronic conditionsMales2002-0330.8
7 lifestyle-related chronic conditionsMales2003-0430.7
7 lifestyle-related chronic conditionsMales2004-0531.1
7 lifestyle-related chronic conditionsMales2005-0630.2
7 lifestyle-related chronic conditionsMales2006-0730.5
7 lifestyle-related chronic conditionsMales2007-0831.3
7 lifestyle-related chronic conditionsMales2008-0929.6
7 lifestyle-related chronic conditionsMales2009-1028.3
7 lifestyle-related chronic conditionsMales2010-1125.3
7 lifestyle-related chronic conditionsMales2011-1225.4
7 lifestyle-related chronic conditionsMales2012-1325.2
7 lifestyle-related chronic conditionsMales2013-1424.1
7 lifestyle-related chronic conditionsMales2014-1524.1
7 lifestyle-related chronic conditionsMales2015-1627.1
7 lifestyle-related chronic conditionsMales2016-1727.2
7 lifestyle-related chronic conditionsMales2017-1827.4
7 lifestyle-related chronic conditionsMales2018-1926.5
7 lifestyle-related chronic conditionsMales2019-2025.4
7 lifestyle-related chronic conditionsMales2020-2124.4
7 lifestyle-related chronic conditionsFemales2002-0320.3
7 lifestyle-related chronic conditionsFemales2003-0420.2
7 lifestyle-related chronic conditionsFemales2004-0520.5
7 lifestyle-related chronic conditionsFemales2005-0620.3
7 lifestyle-related chronic conditionsFemales2006-0720.7
7 lifestyle-related chronic conditionsFemales2007-0821.5
7 lifestyle-related chronic conditionsFemales2008-0921.2
7 lifestyle-related chronic conditionsFemales2009-1020.5
7 lifestyle-related chronic conditionsFemales2010-1117.9
7 lifestyle-related chronic conditionsFemales2011-1217.7
7 lifestyle-related chronic conditionsFemales2012-1317.7
7 lifestyle-related chronic conditionsFemales2013-1417.2
7 lifestyle-related chronic conditionsFemales2014-1517.6
7 lifestyle-related chronic conditionsFemales2015-1619.1
7 lifestyle-related chronic conditionsFemales2016-1719.5
7 lifestyle-related chronic conditionsFemales2017-1819.6
7 lifestyle-related chronic conditionsFemales2018-1918.9
7 lifestyle-related chronic conditionsFemales2019-2017.9
7 lifestyle-related chronic conditionsFemales2020-2116.9
7 lifestyle-related chronic conditionsPersons2002-0325.2
7 lifestyle-related chronic conditionsPersons2003-0425.0
7 lifestyle-related chronic conditionsPersons2004-0525.4
7 lifestyle-related chronic conditionsPersons2005-0624.9
7 lifestyle-related chronic conditionsPersons2006-0725.3
7 lifestyle-related chronic conditionsPersons2007-0826.1
7 lifestyle-related chronic conditionsPersons2008-0925.1
7 lifestyle-related chronic conditionsPersons2009-1024.1
7 lifestyle-related chronic conditionsPersons2010-1121.4
7 lifestyle-related chronic conditionsPersons2011-1221.3
7 lifestyle-related chronic conditionsPersons2012-1321.2
7 lifestyle-related chronic conditionsPersons2013-1420.5
7 lifestyle-related chronic conditionsPersons2014-1520.7
7 lifestyle-related chronic conditionsPersons2015-1622.9
7 lifestyle-related chronic conditionsPersons2016-1723.1
7 lifestyle-related chronic conditionsPersons2017-1823.3
7 lifestyle-related chronic conditionsPersons2018-1922.5
7 lifestyle-related chronic conditionsPersons2019-2021.5
7 lifestyle-related chronic conditionsPersons2020-2120.5

Mortality

Demographic differences

Mortality rates varied by sex and age. For the selected chronic conditions in this section in 2020:

  • Mortality rates were higher in males than females for COPD (40.8% higher), diabetes (94.4% higher), coronary heart disease (90.7% higher) and lifestyle-related chronic conditions (31.7% higher).
  • Diabetes and CHD were higher in males than females for most age groups. In those 80 years and older, age-specific rates for diabetes were 49.5% higher (284.1 compared to 190.1 per 100,000 males and females 80 years and older, respectively) and for CHD were 28.0% higher (1067.0 compared to 833.8 per 100,000 males and females 80 years and older, respectively).
  • Rates for stroke were similar between males and females but at age 80 years and older, the rate in women was 27.6% higher than males (693.0 compared to 543.1 per 100,000, respectively).

Figure 6: Queensland mortality by selected chronic conditions, 2020

Figure 6a: Queensland mortality by selected chronic conditions, 2020 (COPD)
Bar graph showing the mortality rates by sex and age groups for COPD, where rates were higher among males and in older age groups.
Figure 6b: Queensland mortality by selected chronic conditions, 2020 (diabetes)
Bar graph showing the mortality rates by sex and age groups for diabetes, where rates were higher among males and in older age groups.
Figure 6c: Queensland mortality by selected chronic conditions, 2020 (coronary heart disease)
Bar graph showing the mortality rates by sex and age groups for coronary heart disease, where rates were higher among males and in older age groups.
Figure 6d: Queensland mortality by selected chronic conditions, 2020 (stroke)
Bar graph showing the mortality rates by sex and age groups for stroke, where rates were highest among older female population.
Figure 6e: Queensland mortality by selected chronic conditions, 2020 (lifestyle-related chronic conditions)
Bar graph showing the mortality rates by sex and age groups for lifestyle related chronic conditions, where rates were higher among males and in older age groups.

Figure 6f: Queensland mortality by selected chronic conditions, 2020 (table) Ordered by condition, demography type, type and demography

ConditionDemography typeTypeDemographyRates per 100,000
COPDSexCrude RateMales26.3
COPDSexCrude RateFemales21.8
COPDSexCrude RatePersons24.0
COPDSexAge Standardised RateMales23.1
COPDSexAge Standardised RateFemales16.4
COPDSexAge Standardised RatePersons19.4
COPDMalesAge-Specific Rate50-5910.3
COPDMalesAge-Specific Rate60-6939.7
COPDMalesAge-Specific Rate70-79108.5
COPDMalesAge-Specific Rate80+386.0
COPDFemalesAge-Specific Rate50-598.8
COPDFemalesAge-Specific Rate60-6928.1
COPDFemalesAge-Specific Rate70-7993.9
COPDFemalesAge-Specific Rate80+242.1
COPDPersonsAge-Specific Rate50-599.6
COPDPersonsAge-Specific Rate60-6933.7
COPDPersonsAge-Specific Rate70-79101.1
COPDPersonsAge-Specific Rate80+303.7
DiabetesSexCrude RateMales22.7
DiabetesSexCrude RateFemales13.9
DiabetesSexCrude RatePersons18.2
DiabetesSexAge Standardised RateMales20.1
DiabetesSexAge Standardised RateFemales10.3
DiabetesSexAge Standardised RatePersons14.8
DiabetesMalesAge-Specific Rate50-5915.8
DiabetesMalesAge-Specific Rate60-6943.1
DiabetesMalesAge-Specific Rate70-7984.0
DiabetesMalesAge-Specific Rate80+284.1
DiabetesFemalesAge-Specific Rate50-596.4
DiabetesFemalesAge-Specific Rate60-6913.7
DiabetesFemalesAge-Specific Rate70-7940.6
DiabetesFemalesAge-Specific Rate80+190.1
DiabetesPersonsAge-Specific Rate50-5911.0
DiabetesPersonsAge-Specific Rate60-6928.0
DiabetesPersonsAge-Specific Rate70-7961.9
DiabetesPersonsAge-Specific Rate80+230.3
Coronary heart diseaseSexCrude RateMales73.9
Coronary heart diseaseSexCrude RateFemales49.3
Coronary heart diseaseSexCrude RatePersons61.5
Coronary heart diseaseSexAge Standardised RateMales66.3
Coronary heart diseaseSexAge Standardised RateFemales34.8
Coronary heart diseaseSexAge Standardised RatePersons49.6
Coronary heart diseaseMalesAge-Specific Rate50-5956.0
Coronary heart diseaseMalesAge-Specific Rate60-69104.0
Coronary heart diseaseMalesAge-Specific Rate70-79246.8
Coronary heart diseaseMalesAge-Specific Rate80+1067.0
Coronary heart diseaseFemalesAge-Specific Rate50-5918.3
Coronary heart diseaseFemalesAge-Specific Rate60-6931.7
Coronary heart diseaseFemalesAge-Specific Rate70-79100.6
Coronary heart diseaseFemalesAge-Specific Rate80+833.8
Coronary heart diseasePersonsAge-Specific Rate50-5936.6
Coronary heart diseasePersonsAge-Specific Rate60-6966.9
Coronary heart diseasePersonsAge-Specific Rate70-79172.4
Coronary heart diseasePersonsAge-Specific Rate80+933.5
StrokeSexCrude RateMales29.6
StrokeSexCrude RateFemales38.4
StrokeSexCrude RatePersons34.1
StrokeSexAge Standardised RateMales26.9
StrokeSexAge Standardised RateFemales26.9
StrokeSexAge Standardised RatePersons27.2
StrokeMalesAge-Specific Rate50-598.4
StrokeMalesAge-Specific Rate60-6928.4
StrokeMalesAge-Specific Rate70-7991.5
StrokeMalesAge-Specific Rate80+543.1
StrokeFemalesAge-Specific Rate50-594.3
StrokeFemalesAge-Specific Rate60-6918.0
StrokeFemalesAge-Specific Rate70-7976.5
StrokeFemalesAge-Specific Rate80+693.0
StrokePersonsAge-Specific Rate50-596.3
StrokePersonsAge-Specific Rate60-6923.0
StrokePersonsAge-Specific Rate70-7983.9
StrokePersonsAge-Specific Rate80+628.9
7 lifestyle-related chronic conditionsSexCrude RateMales262.9
7 lifestyle-related chronic conditionsSexCrude RateFemales234.1
7 lifestyle-related chronic conditionsSexCrude RatePersons248.2
7 lifestyle-related chronic conditionsSexAge Standardised RateMales234.1
7 lifestyle-related chronic conditionsSexAge Standardised RateFemales177.8
7 lifestyle-related chronic conditionsSexAge Standardised RatePersons204.2
7 lifestyle-related chronic conditionsMalesAge-Specific Rate50-59132.9
7 lifestyle-related chronic conditionsMalesAge-Specific Rate60-69344.0
7 lifestyle-related chronic conditionsMalesAge-Specific Rate70-79791.5
7 lifestyle-related chronic conditionsMalesAge-Specific Rate80+2835.3
7 lifestyle-related chronic conditionsFemalesAge-Specific Rate50-5997.6
7 lifestyle-related chronic conditionsFemalesAge-Specific Rate60-69221.7
7 lifestyle-related chronic conditionsFemalesAge-Specific Rate70-79585.7
7 lifestyle-related chronic conditionsFemalesAge-Specific Rate80+2477.9
7 lifestyle-related chronic conditionsPersonsAge-Specific Rate50-59114.8
7 lifestyle-related chronic conditionsPersonsAge-Specific Rate60-69281.3
7 lifestyle-related chronic conditionsPersonsAge-Specific Rate70-79686.8
7 lifestyle-related chronic conditionsPersonsAge-Specific Rate80+2630.8

Remoteness and sociodemographic differences

Chronic disease mortality often varies geographically which may be due to factors such as differences in access to healthcare that may delay diagnosis or disrupt treatment, or the effects of modifiable risk factors such as obesity and smoking that may be higher in some subgroups.

Generally, people living in more remote areas or lower socioeconomic areas had higher mortality rates from the selected chronic conditions in this section.

In 2020, Queensland standardised mortality rates were higher in remote areas compared to major cities for the following conditions:

  • 46.6% higher for coronary heart disease (68.0 compared to 46.4 per 100,000 persons, respectively)
  • 2.8 times higher for diabetes (36.5 compared to 12.9 per 100,000 persons, respectively)
  • 41.9% higher for 7 lifestyle-related chronic conditions (269.9 compared to 190.3 per 100,000 persons 15 years and older, respectively).

In 2020, Queensland standardised mortality rates were higher in the most disadvantaged areas compared to the most advantaged areas for the following conditions:

  • 2.7 times for COPD (27.5 compared to 10.2 per 100,000 persons, respectively)
  • 2.3 times higher for diabetes (22.0 compared to 9.7 per 100,000 persons, respectively)
  • 47.6% higher for coronary heart disease (60.4 compared to 40.9 per 100,000 persons, respectively)
  • 34.0% higher for stroke (33.2 compared to 24.8 per 100,000 persons, respectively)
  • 62.9% higher for the 7 lifestyle-related chronic conditions (258.6 compared to 158.8 per 100,000 persons 15 years and older, respectively).

Figure 7: Queensland mortality for selected chronic conditions by remoteness and socioeconomic status, 2020

Figure 7a: Queensland mortality for selected chronic conditions by remoteness and socioeconomic status, 2020 (COPD)
Standardised hospitalisation rates by remoteness area and SEIFA for COPD, where rates for remote areas and areas that are socioeconomically disadvantaged show higher rates than other regions.
Figure 7b: Queensland mortality for selected chronic conditions by remoteness and socioeconomic status, 2020 (diabetes)
Standardised hospitalisation rates by remoteness area and SEIFA for diabetes, where rates for remote areas and areas that are socioeconomically disadvantaged show higher rates than other regions.
Figure 7c: Queensland mortality for selected chronic conditions by remoteness and socioeconomic status, 2020 (coronary heart disease)
Standardised hospitalisation rates by remoteness area and SEIFA for coronary heart disease, where rates for remote areas and areas that are socioeconomically disadvantaged show higher rates than other regions.
Figure 7d: Queensland mortality for selected chronic conditions by remoteness and socioeconomic status, 2020 (stroke)
Standardised hospitalisation rates by remoteness area and SEIFA for stroke, where rates for socioeconomically disadvantaged areas show higher rates than other regions.
Figure 7e: Queensland mortality for selected chronic conditions by remoteness and socioeconomic status, 2020 (lifestyle-related chronic conditions)
Standardised hospitalisation rates by remoteness area and SEIFA for lifestyle-related chronic conditions, where rates for remote areas and areas that are socioeconomically disadvantaged show higher rates than other regions.

Figure 7f: Queensland mortality for selected chronic conditions by remoteness and socioeconomic status, 2020 (table) Ordered by condition, area classification, type and area category

ConditionArea classificationTypeArea categoryRate per 100,000
COPDRemotenessCrude RateMajor cities19.7
COPDRemotenessCrude RateInner regional33.7
COPDRemotenessCrude RateOuter regional29.8
COPDRemotenessCrude RateRemote and very remote24.1
COPDRemotenessAge Standardised RateMajor cities16.7
COPDRemotenessAge Standardised RateInner regional22.6
COPDRemotenessAge Standardised RateOuter regional24.5
COPDRemotenessAge Standardised RateRemote and very remote26.3
COPDSEIFACrude RateMost disadvantaged39.4
COPDSEIFACrude RateQ233.7
COPDSEIFACrude RateQ321.4
COPDSEIFACrude RateQ416.3
COPDSEIFACrude RateMost advantaged10.6
COPDSEIFAAge Standardised RateMost disadvantaged27.5
COPDSEIFAAge Standardised RateQ223.8
COPDSEIFAAge Standardised RateQ318.3
COPDSEIFAAge Standardised RateQ414.4
COPDSEIFAAge Standardised RateMost advantaged10.2
StrokeRemotenessCrude RateMajor cities31.5
StrokeRemotenessCrude RateInner regional44.9
StrokeRemotenessCrude RateOuter regional31.5
StrokeRemotenessCrude RateRemote and very remote23.1
StrokeRemotenessAge Standardised RateMajor cities26.0
StrokeRemotenessAge Standardised RateInner regional30.1
StrokeRemotenessAge Standardised RateOuter regional26.6
StrokeRemotenessAge Standardised RateRemote and very remote25.7
StrokeSEIFACrude RateMost disadvantaged48.6
StrokeSEIFACrude RateQ238.1
StrokeSEIFACrude RateQ332.1
StrokeSEIFACrude RateQ425.9
StrokeSEIFACrude RateMost advantaged26.5
StrokeSEIFAAge Standardised RateMost disadvantaged33.2
StrokeSEIFAAge Standardised RateQ227.1
StrokeSEIFAAge Standardised RateQ327.6
StrokeSEIFAAge Standardised RateQ422.2
StrokeSEIFAAge Standardised RateMost advantaged24.8
DiabetesRemotenessCrude RateMajor cities15.1
DiabetesRemotenessCrude RateInner regional24.4
DiabetesRemotenessCrude RateOuter regional21.5
DiabetesRemotenessCrude RateRemote and very remote33.7
DiabetesRemotenessAge Standardised RateMajor cities12.9
DiabetesRemotenessAge Standardised RateInner regional16.8
DiabetesRemotenessAge Standardised RateOuter regional18.0
DiabetesRemotenessAge Standardised RateRemote and very remote36.5
DiabetesSEIFACrude RateMost disadvantaged30.0
DiabetesSEIFACrude RateQ225.3
DiabetesSEIFACrude RateQ314.2
DiabetesSEIFACrude RateQ412.8
DiabetesSEIFACrude RateMost advantaged10.1
DiabetesSEIFAAge Standardised RateMost disadvantaged22.0
DiabetesSEIFAAge Standardised RateQ218.0
DiabetesSEIFAAge Standardised RateQ312.2
DiabetesSEIFAAge Standardised RateQ411.1
DiabetesSEIFAAge Standardised RateMost advantaged9.7
Coronary heart diseaseRemotenessCrude RateMajor cities55.6
Coronary heart diseaseRemotenessCrude RateInner regional76.7
Coronary heart diseaseRemotenessCrude RateOuter regional66.9
Coronary heart diseaseRemotenessCrude RateRemote and very remote62.6
Coronary heart diseaseRemotenessAge Standardised RateMajor cities46.4
Coronary heart diseaseRemotenessAge Standardised RateInner regional52.4
Coronary heart diseaseRemotenessAge Standardised RateOuter regional56.8
Coronary heart diseaseRemotenessAge Standardised RateRemote and very remote68.0
Coronary heart diseaseSEIFACrude RateMost disadvantaged84.5
Coronary heart diseaseSEIFACrude RateQ277.4
Coronary heart diseaseSEIFACrude RateQ357.0
Coronary heart diseaseSEIFACrude RateQ446.7
Coronary heart diseaseSEIFACrude RateMost advantaged44.1
Coronary heart diseaseSEIFAAge Standardised RateMost disadvantaged60.4
Coronary heart diseaseSEIFAAge Standardised RateQ255.4
Coronary heart diseaseSEIFAAge Standardised RateQ349.1
Coronary heart diseaseSEIFAAge Standardised RateQ440.4
Coronary heart diseaseSEIFAAge Standardised RateMost advantaged40.9
7 lifestyle-related chronic conditionsRemotenessCrude RateMajor cities220.9
7 lifestyle-related chronic conditionsRemotenessCrude RateInner regional319.1
7 lifestyle-related chronic conditionsRemotenessCrude RateOuter regional269.8
7 lifestyle-related chronic conditionsRemotenessCrude RateRemote and very remote265.8
7 lifestyle-related chronic conditionsRemotenessAge Standardised RateMajor cities190.3
7 lifestyle-related chronic conditionsRemotenessAge Standardised RateInner regional221.1
7 lifestyle-related chronic conditionsRemotenessAge Standardised RateOuter regional227.1
7 lifestyle-related chronic conditionsRemotenessAge Standardised RateRemote and very remote269.9
7 lifestyle-related chronic conditionsSEIFACrude RateMost disadvantaged361.7
7 lifestyle-related chronic conditionsSEIFACrude RateQ2308.5
7 lifestyle-related chronic conditionsSEIFACrude RateQ3227.8
7 lifestyle-related chronic conditionsSEIFACrude RateQ4192.8
7 lifestyle-related chronic conditionsSEIFACrude RateMost advantaged162.6
7 lifestyle-related chronic conditionsSEIFAAge Standardised RateMost disadvantaged258.6
7 lifestyle-related chronic conditionsSEIFAAge Standardised RateQ2225.0
7 lifestyle-related chronic conditionsSEIFAAge Standardised RateQ3197.5
7 lifestyle-related chronic conditionsSEIFAAge Standardised RateQ4170.1
7 lifestyle-related chronic conditionsSEIFAAge Standardised RateMost advantaged158.8

Trends

Reductions in deaths from circulatory conditions, such as CHD and stroke, are a contributing factor to declines in overall Queensland mortality rates. From 2002 to 2020, declines in standardised mortality rates were:

  • CHD—145.5 per 100,000 persons to 49.6 per 100,000 persons
  • stroke—66.7 per 100,000 persons to 27.2 per 100,000 persons for stroke.15

Figure 8: Trends in Queensland mortality for selected chronic conditions

Figure 8a: Trends in Queensland mortality for selected chronic conditions (COPD)
Line chart of trend of mortality rates per 100,000 for COPD by sex
Figure 8b: Trends in Queensland mortality for selected chronic conditions (diabetes)
Line chart of trend of mortality rates per 100,000 for diabetes by sex
Figure 8c: Trends in Queensland mortality for selected chronic conditions (coronary heart disease)
Line chart of trend of mortality rates per 100,000 for coronary heart disease by sex.
Figure 8d: Trends in Queensland mortality for selected chronic conditions (stroke)
Line chart of trend of mortality rates per 100,000 for stroke by sex
Figure 8e: Trends in Queensland mortality for selected chronic conditions (lifestyle-related chronic conditions)
Line chart of trend of mortality rates per 100,000 for lifestyle-related chronic conditions by sex

Figure 8f: Trends in Queensland mortality for selected chronic conditions (table) Ordered by condition, sex and year

ConditionSexYearASR per 100,000
COPDMales200246.00
COPDMales200338.45
COPDMales200436.84
COPDMales200533.09
COPDMales200631.23
COPDMales200732.95
COPDMales200834.47
COPDMales200933.72
COPDMales201031.81
COPDMales201135.32
COPDMales201233.71
COPDMales201332.67
COPDMales201433.70
COPDMales201530.90
COPDMales201633.37
COPDMales201733.30
COPDMales201830.88
COPDMales201930.38
COPDMales202023.11
COPDMales200236.63
COPDMales200331.10
COPDMales200430.38
COPDMales200527.53
COPDMales200626.20
COPDMales200728.07
COPDMales200829.28
COPDMales200929.13
COPDMales201027.96
COPDMales201131.74
COPDMales201230.94
COPDMales201330.57
COPDMales201432.52
COPDMales201530.62
COPDMales201633.95
COPDMales201734.85
COPDMales201833.36
COPDMales201933.59
COPDMales202026.28
COPDFemales200220.14
COPDFemales200318.34
COPDFemales200420.79
COPDFemales200516.65
COPDFemales200615.05
COPDFemales200715.40
COPDFemales200816.20
COPDFemales200917.34
COPDFemales201018.50
COPDFemales201118.32
COPDFemales201219.15
COPDFemales201317.86
COPDFemales201419.95
COPDFemales201522.72
COPDFemales201618.36
COPDFemales201720.74
COPDFemales201820.18
COPDFemales201920.56
COPDFemales202016.41
COPDFemales200221.28
COPDFemales200319.54
COPDFemales200422.13
COPDFemales200518.17
COPDFemales200616.63
COPDFemales200717.00
COPDFemales200818.27
COPDFemales200919.39
COPDFemales201021.04
COPDFemales201121.18
COPDFemales201222.10
COPDFemales201320.83
COPDFemales201424.13
COPDFemales201527.63
COPDFemales201623.10
COPDFemales201726.11
COPDFemales201826.12
COPDFemales201926.76
COPDFemales202021.76
COPDPersons200230.81
COPDPersons200326.56
COPDPersons200427.32
COPDPersons200523.49
COPDPersons200621.80
COPDPersons200722.66
COPDPersons200823.86
COPDPersons200924.26
COPDPersons201024.22
COPDPersons201125.47
COPDPersons201225.10
COPDPersons201324.26
COPDPersons201425.97
COPDPersons201526.16
COPDPersons201624.82
COPDPersons201726.26
COPDPersons201824.92
COPDPersons201924.91
COPDPersons202019.38
COPDPersons200228.93
COPDPersons200325.30
COPDPersons200426.24
COPDPersons200522.84
COPDPersons200621.41
COPDPersons200722.52
COPDPersons200823.77
COPDPersons200924.26
COPDPersons201024.50
COPDPersons201126.45
COPDPersons201226.51
COPDPersons201325.68
COPDPersons201428.31
COPDPersons201529.11
COPDPersons201628.48
COPDPersons201730.44
COPDPersons201829.70
COPDPersons201930.13
COPDPersons202024.00
DiabetesMales200219.53
DiabetesMales200319.43
DiabetesMales200420.20
DiabetesMales200519.27
DiabetesMales200618.50
DiabetesMales200719.03
DiabetesMales200822.23
DiabetesMales200921.19
DiabetesMales201018.21
DiabetesMales201119.83
DiabetesMales201220.58
DiabetesMales201317.60
DiabetesMales201418.13
DiabetesMales201519.89
DiabetesMales201619.47
DiabetesMales201718.07
DiabetesMales201820.74
DiabetesMales201919.61
DiabetesMales202020.08
DiabetesMales200216.09
DiabetesMales200315.93
DiabetesMales200417.02
DiabetesMales200516.38
DiabetesMales200616.10
DiabetesMales200716.52
DiabetesMales200819.65
DiabetesMales200918.59
DiabetesMales201016.32
DiabetesMales201118.49
DiabetesMales201219.18
DiabetesMales201317.03
DiabetesMales201417.70
DiabetesMales201519.88
DiabetesMales201619.97
DiabetesMales201719.08
DiabetesMales201822.51
DiabetesMales201921.84
DiabetesMales202022.72
DiabetesFemales200212.67
DiabetesFemales200313.59
DiabetesFemales200413.66
DiabetesFemales200514.49
DiabetesFemales200613.45
DiabetesFemales200714.29
DiabetesFemales200815.22
DiabetesFemales200915.10
DiabetesFemales201013.32
DiabetesFemales201113.12
DiabetesFemales201213.15
DiabetesFemales201313.56
DiabetesFemales201414.26
DiabetesFemales201513.01
DiabetesFemales201611.92
DiabetesFemales201713.87
DiabetesFemales201810.66
DiabetesFemales201912.05
DiabetesFemales202010.33
DiabetesFemales200213.54
DiabetesFemales200314.86
DiabetesFemales200415.10
DiabetesFemales200516.44
DiabetesFemales200615.34
DiabetesFemales200716.37
DiabetesFemales200818.09
DiabetesFemales200917.36
DiabetesFemales201015.51
DiabetesFemales201115.52
DiabetesFemales201215.89
DiabetesFemales201316.20
DiabetesFemales201417.34
DiabetesFemales201516.23
DiabetesFemales201615.15
DiabetesFemales201717.62
DiabetesFemales201813.99
DiabetesFemales201916.04
DiabetesFemales202013.86
DiabetesPersons200215.63
DiabetesPersons200316.11
DiabetesPersons200416.57
DiabetesPersons200516.72
DiabetesPersons200615.81
DiabetesPersons200716.36
DiabetesPersons200818.71
DiabetesPersons200917.78
DiabetesPersons201015.56
DiabetesPersons201116.18
DiabetesPersons201216.59
DiabetesPersons201315.46
DiabetesPersons201416.04
DiabetesPersons201516.31
DiabetesPersons201615.42
DiabetesPersons201715.87
DiabetesPersons201815.37
DiabetesPersons201915.59
DiabetesPersons202014.85
DiabetesPersons200214.81
DiabetesPersons200315.39
DiabetesPersons200416.06
DiabetesPersons200516.41
DiabetesPersons200615.72
DiabetesPersons200716.44
DiabetesPersons200818.86
DiabetesPersons200917.97
DiabetesPersons201015.91
DiabetesPersons201117.00
DiabetesPersons201217.53
DiabetesPersons201316.61
DiabetesPersons201417.52
DiabetesPersons201518.04
DiabetesPersons201617.54
DiabetesPersons201718.35
DiabetesPersons201818.21
DiabetesPersons201918.91
DiabetesPersons202018.24
Coronary heart diseaseMales2002183.31
Coronary heart diseaseMales2003174.70
Coronary heart diseaseMales2004168.80
Coronary heart diseaseMales2005148.10
Coronary heart diseaseMales2006145.34
Coronary heart diseaseMales2007131.40
Coronary heart diseaseMales2008134.48
Coronary heart diseaseMales2009123.99
Coronary heart diseaseMales2010117.50
Coronary heart diseaseMales2011119.77
Coronary heart diseaseMales2012103.73
Coronary heart diseaseMales2013100.36
Coronary heart diseaseMales201494.11
Coronary heart diseaseMales201591.53
Coronary heart diseaseMales201688.81
Coronary heart diseaseMales201789.06
Coronary heart diseaseMales201878.52
Coronary heart diseaseMales201978.46
Coronary heart diseaseMales202066.31
Coronary heart diseaseMales2002144.49
Coronary heart diseaseMales2003139.78
Coronary heart diseaseMales2004136.91
Coronary heart diseaseMales2005123.02
Coronary heart diseaseMales2006123.26
Coronary heart diseaseMales2007112.17
Coronary heart diseaseMales2008115.88
Coronary heart diseaseMales2009108.10
Coronary heart diseaseMales2010104.07
Coronary heart diseaseMales2011108.42
Coronary heart diseaseMales201295.72
Coronary heart diseaseMales201394.68
Coronary heart diseaseMales201490.61
Coronary heart diseaseMales201590.80
Coronary heart diseaseMales201690.05
Coronary heart diseaseMales201792.09
Coronary heart diseaseMales201883.09
Coronary heart diseaseMales201985.63
Coronary heart diseaseMales202073.91
Coronary heart diseaseFemales2002114.15
Coronary heart diseaseFemales2003102.46
Coronary heart diseaseFemales2004101.98
Coronary heart diseaseFemales200594.13
Coronary heart diseaseFemales200687.32
Coronary heart diseaseFemales200782.08
Coronary heart diseaseFemales200884.37
Coronary heart diseaseFemales200973.23
Coronary heart diseaseFemales201070.88
Coronary heart diseaseFemales201167.50
Coronary heart diseaseFemales201263.07
Coronary heart diseaseFemales201357.13
Coronary heart diseaseFemales201456.59
Coronary heart diseaseFemales201552.48
Coronary heart diseaseFemales201649.95
Coronary heart diseaseFemales201750.01
Coronary heart diseaseFemales201844.84
Coronary heart diseaseFemales201942.15
Coronary heart diseaseFemales202034.77
Coronary heart diseaseFemales2002129.35
Coronary heart diseaseFemales2003117.99
Coronary heart diseaseFemales2004118.50
Coronary heart diseaseFemales2005111.39
Coronary heart diseaseFemales2006104.97
Coronary heart diseaseFemales2007100.60
Coronary heart diseaseFemales2008104.01
Coronary heart diseaseFemales200990.81
Coronary heart diseaseFemales201089.15
Coronary heart diseaseFemales201187.17
Coronary heart diseaseFemales201282.92
Coronary heart diseaseFemales201375.42
Coronary heart diseaseFemales201475.69
Coronary heart diseaseFemales201571.15
Coronary heart diseaseFemales201668.67
Coronary heart diseaseFemales201769.28
Coronary heart diseaseFemales201862.01
Coronary heart diseaseFemales201958.99
Coronary heart diseaseFemales202049.33
Coronary heart diseasePersons2002145.47
Coronary heart diseasePersons2003135.09
Coronary heart diseasePersons2004132.53
Coronary heart diseasePersons2005119.10
Coronary heart diseasePersons2006114.00
Coronary heart diseasePersons2007104.97
Coronary heart diseasePersons2008107.53
Coronary heart diseasePersons200996.73
Coronary heart diseasePersons201092.37
Coronary heart diseasePersons201191.68
Coronary heart diseasePersons201282.18
Coronary heart diseasePersons201377.32
Coronary heart diseasePersons201474.07
Coronary heart diseasePersons201570.75
Coronary heart diseasePersons201667.84
Coronary heart diseasePersons201768.20
Coronary heart diseasePersons201860.57
Coronary heart diseasePersons201959.17
Coronary heart diseasePersons202049.60
Coronary heart diseasePersons2002136.90
Coronary heart diseasePersons2003128.85
Coronary heart diseasePersons2004127.68
Coronary heart diseasePersons2005117.19
Coronary heart diseasePersons2006114.10
Coronary heart diseasePersons2007106.37
Coronary heart diseasePersons2008109.94
Coronary heart diseasePersons200999.45
Coronary heart diseasePersons201096.60
Coronary heart diseasePersons201197.77
Coronary heart diseasePersons201289.30
Coronary heart diseasePersons201385.02
Coronary heart diseasePersons201483.12
Coronary heart diseasePersons201580.92
Coronary heart diseasePersons201679.28
Coronary heart diseasePersons201780.59
Coronary heart diseasePersons201872.44
Coronary heart diseasePersons201972.17
Coronary heart diseasePersons202061.47
StrokeMales200263.97
StrokeMales200363.39
StrokeMales200465.54
StrokeMales200559.77
StrokeMales200654.66
StrokeMales200752.27
StrokeMales200852.36
StrokeMales200949.17
StrokeMales201045.68
StrokeMales201144.76
StrokeMales201242.75
StrokeMales201337.30
StrokeMales201437.48
StrokeMales201537.85
StrokeMales201635.98
StrokeMales201735.19
StrokeMales201831.94
StrokeMales201930.16
StrokeMales202026.86
StrokeMales200247.61
StrokeMales200348.10
StrokeMales200450.65
StrokeMales200547.18
StrokeMales200644.70
StrokeMales200743.17
StrokeMales200843.42
StrokeMales200940.87
StrokeMales201039.06
StrokeMales201139.21
StrokeMales201238.18
StrokeMales201333.98
StrokeMales201434.81
StrokeMales201536.30
StrokeMales201635.83
StrokeMales201735.70
StrokeMales201833.08
StrokeMales201932.24
StrokeMales202029.64
StrokeFemales200266.81
StrokeFemales200363.21
StrokeFemales200459.66
StrokeFemales200555.25
StrokeFemales200655.21
StrokeFemales200756.39
StrokeFemales200853.16
StrokeFemales200946.98
StrokeFemales201047.20
StrokeFemales201143.63
StrokeFemales201243.17
StrokeFemales201340.65
StrokeFemales201438.58
StrokeFemales201536.59
StrokeFemales201636.58
StrokeFemales201734.26
StrokeFemales201831.37
StrokeFemales201930.93
StrokeFemales202026.90
StrokeFemales200276.74
StrokeFemales200372.89
StrokeFemales200469.92
StrokeFemales200565.57
StrokeFemales200667.03
StrokeFemales200769.07
StrokeFemales200865.10
StrokeFemales200958.63
StrokeFemales201059.36
StrokeFemales201156.62
StrokeFemales201255.85
StrokeFemales201353.22
StrokeFemales201451.60
StrokeFemales201550.02
StrokeFemales201649.47
StrokeFemales201747.03
StrokeFemales201843.51
StrokeFemales201943.38
StrokeFemales202038.38
StrokePersons200266.68
StrokePersons200363.84
StrokePersons200462.77
StrokePersons200557.56
StrokePersons200655.97
StrokePersons200755.31
StrokePersons200853.33
StrokePersons200948.43
StrokePersons201047.03
StrokePersons201144.75
StrokePersons201243.40
StrokePersons201339.61
StrokePersons201438.45
StrokePersons201537.59
StrokePersons201636.67
StrokePersons201735.04
StrokePersons201831.89
StrokePersons201930.91
StrokePersons202027.17
StrokePersons200262.22
StrokePersons200360.54
StrokePersons200460.31
StrokePersons200556.40
StrokePersons200655.89
StrokePersons200756.14
StrokePersons200854.27
StrokePersons200949.76
StrokePersons201049.22
StrokePersons201147.94
StrokePersons201247.04
StrokePersons201343.63
StrokePersons201443.24
StrokePersons201543.20
StrokePersons201642.70
StrokePersons201741.42
StrokePersons201838.35
StrokePersons201937.87
StrokePersons202034.06
7 lifestyle-related chronic conditionsMales2002499.31
7 lifestyle-related chronic conditionsMales2003469.72
7 lifestyle-related chronic conditionsMales2004464.23
7 lifestyle-related chronic conditionsMales2005424.32
7 lifestyle-related chronic conditionsMales2006406.20
7 lifestyle-related chronic conditionsMales2007383.95
7 lifestyle-related chronic conditionsMales2008397.36
7 lifestyle-related chronic conditionsMales2009374.69
7 lifestyle-related chronic conditionsMales2010353.93
7 lifestyle-related chronic conditionsMales2011356.61
7 lifestyle-related chronic conditionsMales2012334.89
7 lifestyle-related chronic conditionsMales2013321.00
7 lifestyle-related chronic conditionsMales2014310.72
7 lifestyle-related chronic conditionsMales2015304.60
7 lifestyle-related chronic conditionsMales2016302.38
7 lifestyle-related chronic conditionsMales2017297.37
7 lifestyle-related chronic conditionsMales2018275.81
7 lifestyle-related chronic conditionsMales2019268.66
7 lifestyle-related chronic conditionsMales2020234.13
7 lifestyle-related chronic conditionsMales2002407.48
7 lifestyle-related chronic conditionsMales2003387.37
7 lifestyle-related chronic conditionsMales2004387.47
7 lifestyle-related chronic conditionsMales2005361.06
7 lifestyle-related chronic conditionsMales2006351.21
7 lifestyle-related chronic conditionsMales2007335.46
7 lifestyle-related chronic conditionsMales2008347.89
7 lifestyle-related chronic conditionsMales2009330.42
7 lifestyle-related chronic conditionsMales2010317.99
7 lifestyle-related chronic conditionsMales2011326.28
7 lifestyle-related chronic conditionsMales2012312.11
7 lifestyle-related chronic conditionsMales2013305.74
7 lifestyle-related chronic conditionsMales2014301.78
7 lifestyle-related chronic conditionsMales2015304.27
7 lifestyle-related chronic conditionsMales2016309.15
7 lifestyle-related chronic conditionsMales2017310.51
7 lifestyle-related chronic conditionsMales2018295.49
7 lifestyle-related chronic conditionsMales2019295.33
7 lifestyle-related chronic conditionsMales2020262.89
7 lifestyle-related chronic conditionsFemales2002355.66
7 lifestyle-related chronic conditionsFemales2003328.68
7 lifestyle-related chronic conditionsFemales2004327.23
7 lifestyle-related chronic conditionsFemales2005307.60
7 lifestyle-related chronic conditionsFemales2006286.99
7 lifestyle-related chronic conditionsFemales2007289.21
7 lifestyle-related chronic conditionsFemales2008286.72
7 lifestyle-related chronic conditionsFemales2009267.60
7 lifestyle-related chronic conditionsFemales2010263.55
7 lifestyle-related chronic conditionsFemales2011252.35
7 lifestyle-related chronic conditionsFemales2012248.08
7 lifestyle-related chronic conditionsFemales2013235.81
7 lifestyle-related chronic conditionsFemales2014233.50
7 lifestyle-related chronic conditionsFemales2015229.69
7 lifestyle-related chronic conditionsFemales2016217.09
7 lifestyle-related chronic conditionsFemales2017219.04
7 lifestyle-related chronic conditionsFemales2018205.34
7 lifestyle-related chronic conditionsFemales2019204.16
7 lifestyle-related chronic conditionsFemales2020177.84
7 lifestyle-related chronic conditionsFemales2002392.28
7 lifestyle-related chronic conditionsFemales2003365.71
7 lifestyle-related chronic conditionsFemales2004367.08
7 lifestyle-related chronic conditionsFemales2005349.52
7 lifestyle-related chronic conditionsFemales2006330.46
7 lifestyle-related chronic conditionsFemales2007336.31
7 lifestyle-related chronic conditionsFemales2008335.07
7 lifestyle-related chronic conditionsFemales2009313.14
7 lifestyle-related chronic conditionsFemales2010311.26
7 lifestyle-related chronic conditionsFemales2011304.38
7 lifestyle-related chronic conditionsFemales2012300.52
7 lifestyle-related chronic conditionsFemales2013287.42
7 lifestyle-related chronic conditionsFemales2014289.20
7 lifestyle-related chronic conditionsFemales2015287.11
7 lifestyle-related chronic conditionsFemales2016275.00
7 lifestyle-related chronic conditionsFemales2017280.20
7 lifestyle-related chronic conditionsFemales2018263.87
7 lifestyle-related chronic conditionsFemales2019265.56
7 lifestyle-related chronic conditionsFemales2020234.14
7 lifestyle-related chronic conditionsPersons2002420.45
7 lifestyle-related chronic conditionsPersons2003391.59
7 lifestyle-related chronic conditionsPersons2004389.03
7 lifestyle-related chronic conditionsPersons2005360.72
7 lifestyle-related chronic conditionsPersons2006341.57
7 lifestyle-related chronic conditionsPersons2007333.01
7 lifestyle-related chronic conditionsPersons2008337.28
7 lifestyle-related chronic conditionsPersons2009316.36
7 lifestyle-related chronic conditionsPersons2010305.04
7 lifestyle-related chronic conditionsPersons2011300.15
7 lifestyle-related chronic conditionsPersons2012287.65
7 lifestyle-related chronic conditionsPersons2013275.26
7 lifestyle-related chronic conditionsPersons2014269.26
7 lifestyle-related chronic conditionsPersons2015264.62
7 lifestyle-related chronic conditionsPersons2016255.83
7 lifestyle-related chronic conditionsPersons2017255.31
7 lifestyle-related chronic conditionsPersons2018238.20
7 lifestyle-related chronic conditionsPersons2019234.26
7 lifestyle-related chronic conditionsPersons2020204.22
7 lifestyle-related chronic conditionsPersons2002399.80
7 lifestyle-related chronic conditionsPersons2003376.42
7 lifestyle-related chronic conditionsPersons2004377.17
7 lifestyle-related chronic conditionsPersons2005355.23
7 lifestyle-related chronic conditionsPersons2006340.74
7 lifestyle-related chronic conditionsPersons2007335.89
7 lifestyle-related chronic conditionsPersons2008341.43
7 lifestyle-related chronic conditionsPersons2009321.71
7 lifestyle-related chronic conditionsPersons2010314.60
7 lifestyle-related chronic conditionsPersons2011315.24
7 lifestyle-related chronic conditionsPersons2012306.26
7 lifestyle-related chronic conditionsPersons2013296.49
7 lifestyle-related chronic conditionsPersons2014295.41
7 lifestyle-related chronic conditionsPersons2015295.56
7 lifestyle-related chronic conditionsPersons2016291.80
7 lifestyle-related chronic conditionsPersons2017295.09
7 lifestyle-related chronic conditionsPersons2018279.38
7 lifestyle-related chronic conditionsPersons2019280.15
7 lifestyle-related chronic conditionsPersons2020248.21

Burden of disease

Reductions in mortality for CHD and stroke and a reduction in hospitalisations for CHD translated to improvements in health burden. From 2003 to 2022, the standardised total burden rate for CHD decreased by 57.0%. Reductions occurred in standardised rates for both disability burden (47.8% decrease) and premature death (59% decreased). Similar improvements were seen for stroke (51.4% decrease in total burden) but gains were higher for premature death (54.4% decrease) than for disability burden (23.1% decrease).

Smaller but important gains were made for standardised rates of total burden for COPD (10.7% decrease), however, asthma saw a 7.8% increase. Negligible gains were seen for type 2 diabetes (0.5% decrease), with improvements in premature death (25.6% decrease) offset by an increase in disability burden (25.8% increase).

Most of the chronic disease health burden occurs in older age groups (Figure 8). Nevertheless, understanding differences in the age and sex profile in terms of chronic disease burden highlights potential intervention points. For example, asthma impacted all age groups throughout the life course whereas standardised rates for type 2 diabetes rapidly increased from the mid-40s, especially in males.

Figure 9: Australian health burden for selected chronic conditions, 2022

Figure 9a: Australian health burden for selected chronic conditions, 2022 (asthma)
DALY by age and age-specific DALY rates per 1000 persons for asthma by sex, showing relatively flat DALY rate across different age groups
Figure 9b: Australian health burden for selected chronic conditions, 2022 (COPD)
DALY by age and age-specific DALY rates per 1000 persons for COPD by sex for 45 years and older, showing higher DALY rate in older age groups
Figure 9c: Australian health burden for selected chronic conditions, 2022 (type 2 diabetes)
DALY by age and age-specific DALY rates per 1000 persons for type 2 diabetes by sex for 25 years and older, showing a peak in rates at 85-94 age group
Figure 9d: Australian health burden for selected chronic conditions, 2022 (coronary heart disease)
DALY by age and age-specific DALY rates per 1000 persons for coronary heart disease by sex for 25 years and older, showing higher DALY rate in older age groups
Figure 9e: Australian health burden for selected chronic conditions, 2022 (stroke)
DALY by age and age-specific DALY rates per 1000 persons for stroke by sex for 25 years and older, showing higher DALY rate in older age groups

Figure 9f: Australian health burden for selected chronic conditions, 2022 (table) Ordered by disease, age group and sex

DiseaseAge groupSexDALYAge-specific DALY rate per 1,000
Asthma0-4Males2,6493.4
Asthma5-14Males10,9916.6
Asthma15-24Males8,2835.1
Asthma25-44Males16,4504.5
Asthma45-64Males14,0474.6
Asthma65-74Males5,6634.8
Asthma75-84Males3,2114.6
Asthma85-94Males1,0685.2
Asthma95+Males1116.3
Asthma0-4Females1,7392.4
Asthma5-14Females7,2714.6
Asthma15-24Females8,5945.6
Asthma25-44Females21,7495.9
Asthma45-64Females20,4506.4
Asthma65-74Females8,6266.8
Asthma75-84Females5,0576.5
Asthma85-94Females1,8196.0
Asthma95+Females2636.4
Asthma0-4Persons4,3872.9
Asthma5-14Persons18,2615.6
Asthma15-24Persons16,8775.4
Asthma25-44Persons38,1995.2
Asthma45-64Persons34,4975.5
Asthma65-74Persons14,2895.8
Asthma75-84Persons8,2675.6
Asthma85-94Persons2,8865.7
Asthma95+Persons3746.4
COPD45-64Males18,4616.0
COPD65-74Males31,84826.8
COPD75-84Males30,15642.9
COPD85-94Males12,67761.4
COPD95+Males1,38078.3
COPD45-64Females20,3016.3
COPD65-74Females31,62624.8
COPD75-84Females33,64842.9
COPD85-94Females17,98559.3
COPD95+Females3,09575.5
COPD45-64Persons38,7626.2
COPD65-74Persons63,47425.8
COPD75-84Persons63,80442.9
COPD85-94Persons30,66260.2
COPD95+Persons4,47576.3
Type 2 diabetes mellitus25-44Males4,0311.1
Type 2 diabetes mellitus45-64Males24,1017.9
Type 2 diabetes mellitus65-74Males22,23318.7
Type 2 diabetes mellitus75-84Males16,87924.0
Type 2 diabetes mellitus85-94Males6,08029.5
Type 2 diabetes mellitus95+Males32318.3
Type 2 diabetes mellitus25-44Females2,3590.6
Type 2 diabetes mellitus45-64Females15,8024.9
Type 2 diabetes mellitus65-74Females13,93510.9
Type 2 diabetes mellitus75-84Females12,43415.9
Type 2 diabetes mellitus85-94Females6,27320.7
Type 2 diabetes mellitus95+Females71417.4
Type 2 diabetes mellitus25-44Persons6,3900.9
Type 2 diabetes mellitus45-64Persons39,9026.4
Type 2 diabetes mellitus65-74Persons36,16814.7
Type 2 diabetes mellitus75-84Persons29,31319.7
Type 2 diabetes mellitus85-94Persons12,35424.2
Type 2 diabetes mellitus95+Persons1,03717.7
Coronary heart disease25-44Males9,9122.7
Coronary heart disease45-64Males58,58219.2
Coronary heart disease65-74Males49,45641.7
Coronary heart disease75-84Males52,46074.7
Coronary heart disease85-94Males30,497147.8
Coronary heart disease95+Males4,292243.5
Coronary heart disease25-44Females2,4140.7
Coronary heart disease45-64Females14,6044.6
Coronary heart disease65-74Females17,83814.0
Coronary heart disease75-84Females28,79436.7
Coronary heart disease85-94Females28,82295.0
Coronary heart disease95+Females7,621185.8
Coronary heart disease25-44Persons12,3271.7
Coronary heart disease45-64Persons73,18711.7
Coronary heart disease65-74Persons67,29427.3
Coronary heart disease75-84Persons81,25454.7
Coronary heart disease85-94Persons59,319116.4
Coronary heart disease95+Persons11,913203.1
Stroke25-44Males2,6000.7
Stroke45-64Males11,6753.8
Stroke65-74Males13,75511.6
Stroke75-84Males20,72729.5
Stroke85-94Males11,80957.2
Stroke95+Males1,27472.2
Stroke25-44Females2,3180.6
Stroke45-64Females8,8042.8
Stroke65-74Females9,6557.6
Stroke75-84Females18,87624.1
Stroke85-94Females17,42957.5
Stroke95+Females3,31680.8
Stroke25-44Persons4,9180.7
Stroke45-64Persons20,4793.3
Stroke65-74Persons23,4109.5
Stroke75-84Persons39,60326.6
Stroke85-94Persons29,23857.4
Stroke95+Persons4,59078.3

Additional information

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Section technical notes

Where presented, ratios were calculated using higher precision estimates than in text. Ratios calculated using estimates in text may differ.

Unless otherwise stated, age-standardised rates were calculated by standardising to 2001 Australian standard population.

Burden of disease data shown in Figure 8 are only for selected age groups, while the total DALYs shown in text are representative of the entire population. Thus, the sum of DALY number from each age group will not sum to the total.

While age-specific rates for only the selected age groups were shown in Figure 3 and 6, the age standardised rates were calculated using all age groups (except for lifestyle-related chronic conditions, which was restricted to 15 years and over).

For diabetes, only type 2 diabetes mellitus was presented in the Burden of disease section of this report due to data availability and stronger links to the lifestyle factors than other forms of diabetes.

Asthma mortality were not presented due to small numbers.

Lifestyle-related chronic conditions are defined in this report as a group of seven chronic conditions that are major causes of disease burden and have the highest attributable risk factor burden (excluding alcohol related effects). They include coronary heart disease, stroke, lung cancer, colorectal cancer, breast cancer, COPD and diabetes for people age 15 years and over.

Hospitalisation data reported in this section were sourced from the Queensland Hospital Admitted Patient Data Collection (QHAPDC).

Individual record in the QHAPDC is episode based, meaning that multiple episodes from a same person will be counted multiple times in a reporting period.

Separations from interstate residents, public psychiatric hospitals, and those flagged as unqualified newborns, organ donors or boarders are excluded, and records from 47 previously declared hospitals are excluded.

Mortality data presented in this section were sourced from the Australian Coordinating Registry held by the Statistical Services Branch, Queensland Health. Data are presented by year of death, rather than year of registration and are subject to change.

Due to various data limitations, the ABS recommends data sources other than the Census, such as the NHS, to understand the prevalence of diseases in Australia.10 See Comparing ABS long-term health conditions data sources on the ABS website for further details.


References

  1. World Health Organization. 2022. Noncommunicable diseases. Accessed: 13 January 2023.
  2. World Health Organization. 2013. Global Action Plan for the Prevention and Control of Noncommunicable Diseases 2013-2020. Geneva: World Health Organization.
  3. Australian Institute of Health and Welfare. 2022. Australian Burden of Disease Study 2022. doi: 10.25816/E2V0-GP02.
  4. Australian Institute of Health and Welfare. 2022. Disease Expenditure in Australia 2019-20. Australian Institute of Health and Welfare.
  5. Australian Institute of Health and Welfare. 2022. Mortality Over Regions and Time (MORT) books.
  6. Australian Institute of Health and Welfare. 2022. Chronic conditions and multimorbidity. Accessed: 13 January 2023.
  7. Australian Bureau of Statistics. 2018. National Health Survey: first results, 2017-18. Accessed: 1 February 2023.
  8. Australian Institute of Health and Welfare. 2021. Chronic condition multimorbidity. Accessed: 30 January 2023.
  9. Australian Bureau of Statistics. 2022. Long-term health conditions. Accessed: 13 June 2023.
  10. Australian Bureau of Statistics. 2022. Comparing ABS long-term health conditions data sources. Accessed: 13 June 2023.
  11. Queensland Health. 2023. Queensland hospital admitted patient data collection (QHAPDC). Accessed: 12 November 2022.
  12. Australian Institute of Health and Welfare. 2022. Diabetes: Australian facts. Accessed: 11 November 2022.
  13. Queensland Health. 2011. Impact of changes in diabetes coding on Queensland hospital principal diagnosis morbidity data. Brisbane.
  14. Queensland Health. 2011. Changes in diabetes coding from the fifth to the sixth and seventh editions of ICD-10-AM. Brisbane.
  15. Australian Coordinating Registry. 2022. Cause of Death Unit Record File (accessed via Statistical Services Branch SAS Portal).

Last updated: November 2023