Introduction
Musculoskeletal conditions include more than 150 discrete conditions, and these conditions are highly prevalent, affecting 1.7 billion people globally [
1]. In Australia, musculoskeletal conditions have been reported to account for 25% of non-fatal disease burden, with low back pain (LBP) the leading individual cause [
2]. LBP is highly prevalent, with 70–90% of people suffering from LBP at some point in their lives [
3]. As a result, LBP costs the Australian healthcare system AUD$4.8 billion annually [
4], is one of the most common reasons for visiting a general practitioner [
5], and is the leading cause of lost productive years [
6]. With approximately 50% of people having disability beyond 3 months, LBP leads to poorer quality of life, psychological distress, and disability [
7]. Therefore, with compelling evidence that musculoskeletal conditions impose a substantial personal and societal burden, attention is needed to further understand the burden of musculoskeletal conditions, and in particular for LBP, at a national level in Australia.
The Global Burden of Disease (GBD) study systematically quantifies health loss for more than 350 diseases by age, sex, year, and geographic location, and allows for the comparison of burden across disparate diseases over time [
8]. The GBD study allows for the assessment of national population health as a means to inform national and local policy decisions and resource allocation. Outside of the global GBD capstone publications for musculoskeletal conditions [
9‐
13], estimates for musculoskeletal conditions have been summarised and interpreted specifically for individual countries [
14‐
16]. As knowledge translation and visualisations of GBD data engages users and is seen as valuable by policymakers [
17,
18], national-level musculoskeletal disease burden estimates and temporal trends may enable local health system improvement and policy evolution. Contextualising GBD 2019 musculoskeletal estimates will provide clinicians, researchers and Australian health policy makers with comprehensive and comparable health estimates and will allow for common disability burden metrics to be compared with other countries.
The aim of this systematic analysis is to report the national prevalence, years lived with disability (YLDs) and attributable risk factors for “all” musculoskeletal conditions combined (LBP; neck pain; hip, knee, hand and other osteoarthritis; rheumatoid arthritis; gout; and a group of other musculoskeletal conditions) and separately for LBP, as well as compare the disability burden related to musculoskeletal with other health conditions in Australia in 2019.
Discussion
In Australia in 2019, musculoskeletal conditions were estimated to be the leading cause of disability burden, ahead of both mental health and unintentional injuries, and were responsible for one fifth of the total YLDs. ASRs for prevalence and disability burden were high across the life course, peaking in older adults and being higher in females. LBP was the most prevalent musculoskeletal condition and was the leading driver of disability burden in Australia. These data show the impact of LBP on the Australian community and highlight the importance of increased societal and governmental awareness of LBP-related disability [
26].
Estimates of prevalence and burden of disease are important tools for monitoring population health, with both national and global studies useful in interpreting available data for different contexts. There are small variations between estimates for overall burden of musculoskeletal conditions modelled in GBD 2019 (11%) and that reported by the Australian Institute of Health and Welfare (AIHW) in 2018 (13%) [
27]. Similarly, GBD estimates for non-fatal disease burden were slightly lower (20%) than Australian Burden of Disease Study (ABDS) 2018 data (24%). Some indirectness may be found in the Australian GBD musculoskeletal and LBP estimates due to the data input sources, i.e. no GBD 2019 data input sources can be retrieved for neck pain and rheumatoid arthritis in Australia between 1990 and 2019, and no direct input prevalence study appears for LBP since 2012. Therefore, the use of direct national data for a whole population may be more accurate. Also, in a comparison of rank and YLDs estimates between ABDS and GBD for 2015, differences have been found for rheumatoid arthritis and osteoarthritis [
28]. Higher ABDS ranks and YLDs estimates may be due to representative Australian data sources and severity distributions with higher proportions of moderate and severe rheumatoid arthritis and osteoarthritis [
28]. Key differentials that exist for GBD modelled data, is that the methodological approach used enables the reporting of trends over time and comparability across countries.
Musculoskeletal conditions are a significant health problem requiring rehabilitation across the life course [
1]. GBD 2019 data reveal that LBP prevalence was high in all age groups from 15 years onwards, with ABDS 2018 data revealing back pain and problems were ranked second in terms of disease burden (DALYs) from 25 to 74 years [
27]. Representative cohort data show that LBP experienced by Australian adolescents is associated with care seeking, medication use, school absenteeism, and reduced health-related quality of life [
29]. As LBP is one of only four causes that drive increases in the number of DALYs from teenage years into older age [
8], interventions focused on the prevention of musculoskeletal conditions, particularly LBP, through diet, exercise, lifestyle and workplace factors, and new models of care to improve access to appropriate health care for younger Australians, need urgent evaluation. Females and older adults have a higher prevalence of musculoskeletal conditions (in 24% of women compared to 19% of men), with two thirds of people aged 75–79 years having a musculoskeletal condition. Furthermore, in Australia, women aged 35–74 years’ experience 21% of their total disease burden from musculoskeletal conditions, compared to 14% for men of the same age group [
27]. Older adults often do not receive optimal management of their LBP, even though their LBP is more disabling than that seen in younger adults [
30]. Without appropriate management, musculoskeletal conditions can culminate in increased cognitive decline, sarcopenia, frailty, loss of independence, as well as long-term and expensive health care needs [
31]. The UN “Decade of Healthy Ageing” has been designated for 2021–2030. Alongside a global, health systems framework for improving musculoskeletal health [
26], a strong Australian platform is needed to strengthen local and relevant health initiatives that not only decrease musculoskeletal burden but also improve function (including work participation and functional independence), quality of life and reduce health inequity across the life course.
A number of GBD modifiable risk factors (smoking, ergonomic occupational factors and obesity) account for a sizable proportion of LBP disability burden. People with back problems have been shown to be more likely to be current or former smokers [
7] and smoking has been associated with both higher lifetime risk of musculoskeletal pain [
32], and higher pain intensity [
33]. Cross-sectoral health promotion programs which target smoking and LBP could be integrated with other public health messaging for non-communicable diseases. Objectively measured sitting [
34], along with lifting intensity and frequency at work [
35], have also been associated with LBP. With 32% of workers not back at work after 1 month, it has been suggested that interventions targeting individual-level risk factors should be implemented soon after injury to prevent long-term work absence [
36]. The transition rate from acute to chronic LBP is significantly higher in obese adults, smokers, those with severe and very severe baseline disability and in adults diagnosed depression/anxiety, with biomechanical, psychological and psychosocial factors identified as prognostic factors for the development of chronic back pain [
37]. In particular, depressive symptoms are a significant risk factor for the report of future back pain in older adults [
38]. Primary and secondary prevention strategies that integrate modifiable risk factors, such as smoking, intense and strenuous physical work environments and obesity are needed in the broader context of high-value care approaches to effectively reduce the burden of disease associated with musculoskeletal conditions and LBP.
Age standardised rates of YLDs due to musculoskeletal conditions increased by 3.2% from 1990 to 2019, with the ABDS 2018 reporting a 7.3% increase in burden from back pain and problems from 2003 to 2018 [
27]. With disease burden continuing to increase over time, there is a timely need for a whole-of-system effort in optimising prevention and management. While state-level Models of Care for musculoskeletal conditions have been developed and are at varying stages of implementation and evaluation [
39], the profound disease burden due to LBP remains. A number of health system factors contribute to this problem, in particular service and funding models that support low-value approaches and inadequately support high-value care. Recommendations from high-quality clinical practice guidelines suggests that high-value care includes patient centered care, assessing psychosocial factors, providing education/information, addressing physical activity/exercise and trying to keep patients at work [
40]. Furthermore, implementation of the National Strategic Action Plan for Pain Management [
41] will be an important catalyst to whole-of-system improvements to prevention and management of musculoskeletal pain conditions.
Limitations
The estimates in all GBD analyses are modelled, rather than original data due to the lack of complete coverage of country level data globally. As GBD estimates both the severity and severity distributions of LBP from healthcare-seeking individuals in the US, they may not be generalisable to the general population with LBP. Further, severity distributions are likely to differ between countries due to issues such as differences in access to health care, availability and affordability of medications, and social and cultural environments, and results may not be reliable in the Australian setting. Internal and external validity of the GBD 2019 LBP disability weights and severity distributions are unknown. Musculoskeletal conditions, and particularly LBP [
42], are less likely than other chronic diseases to have country level data, partly due to their low level of associated mortality. While, modelled estimates aim to adjust for the variable coverage, the heterogeneity of case definitions and the lack of standardisation of data collection, imprecision often exists as seen in the uncertainty in YLDs due to all MSK causes. To facilitate future capture of national level data, the Global Alliance for Musculoskeletal Health (G-MUSC) and the GBD 2010 Musculoskeletal Expert Group have developed a standardised survey questionnaire for measuring the population prevalence of LBP and other musculoskeletal conditions [
43]. It is suggested that, this survey questionnaire be utilised in future population-based studies, with an emphasis placed on rural, regional, indigenous and vulnerable communities who may be the most in need of public health care interventions.
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