Successive government reports have highlighted population ageing and labour shortages as pressures threatening the Australian Budget.1,2 As a result, the previous federal government promoted deferred or gradual retirement.3,4
However, current labour force participation among older Australians is low compared with other Organisation for Economic Co-operation and Development countries.5 In Australia, about 75% of men and 50% of women aged 55–59 years, and 45% of men and 25% of women aged 60–64 years, are in the labour force.6 Furthermore, 50% of men and 20% of women in Australia retire from full-time work early (ie, before the age of 55 years) because of ill health.7
Overseas studies have found lower employment rates among older people with musculoskeletal conditions,8 multiple sclerosis9 and other chronic diseases.10-12 Australian and New Zealand studies have found that arthritis,13 multiple sclerosis,14 type 2 diabetes,15 cardiovascular disease16 and macular degeneration17 are related to lower labour force participation of older workers.
The current Labor Government’s health platform suggests that chronic disease prevention can increase labour force participation and ensure future government revenues are sufficient to fund health care for an ageing population.18
However, there have been no Australian studies investigating the overall effect of long-term disease on labour force participation. We undertook a retrospective cross-sectional analysis to examine the association between long-term health conditions and being out of the labour force among Australians aged 45–64 years.
We analysed data on people aged 45–64 years from the Australian Bureau of Statistics 2003 Survey of Disability, Ageing and Carers19 to identify conditions associated with non-participation in the labour force. The use of these data was approved by the Australian Bureau of Statistics Microdata Review Panel.
The labour force was defined as people who are employed or seeking work. People in hospitals and residential care were included in the survey, but those in residential care were assumed to be out of the labour force.
The survey collected demographic and socioeconomic information, including labour force participation and information on participants’ long-term health conditions, including the main disabling condition. We focused only on the main condition for this analysis. Participants were asked their reasons for being out of the labour force, with ill health being one response option. The survey data are weighted by the Australian Bureau of Statistics to address the issue of unequal probability of selection in the survey, and to make the survey data a true representation of the whole Australian population. We used these weightings in our analysis to estimate the prevalence for the entire Australian population.
We used logistic regression analysis, adjusted for age and sex, to estimate the odds ratios (ORs) of being out of the labour force associated with each long-term health condition and the risk of being out of the labour force associated with the number of long-term conditions, using “no condition” as the reference group. ORs are presented with 95% confidence intervals. Significance was set at P < 0.05.
The number of “missing workers” associated with each condition was estimated as the excess proportion (EP) of people not in the labour force associated with each long-term health condition; that is, the proportion of people out of the labour force among those with the condition that is in excess of people with no condition. The formula was EP = (OR − 1)/OR.
The impact of reduced labour force participation on Australia’s gross domestic product (GDP) was estimated with the Commonwealth Treasury’s formula:
where GDP = gross domestic product; H = total hours worked; EMP = total number of persons employed; LF = total labour force; and Pop15+ = population aged 15 years and over.2
All analyses were conducted using SAS, version 9.1 (SAS Institute, Cary, NC, USA).
Of 41 233 people surveyed, 9198 (22.3%) were in the 45–64-years age group, 3010 of whom were not in the labour force (Box 1). Of these, 1373 (45.6%) cited a long-term health condition as the reason for this, with the remaining 1637 reporting other reasons.
The most common conditions among survey respondents were back problems, arthritis and related disorders, and hypertension (Box 2). Based on the proportion of people out of the labour force, depression or mood affective disorders, diseases of the respiratory system, diseases of the circulatory system (other than hypertension), heart diseases, and mental and behavioural disorders were the most work-limiting conditions (Box 2). Over 50% of Australians in the 45–64-years age group who reported one of these conditions as their main condition were not in the labour force.
Crude ORs (not shown) revealed a significant association with being out of the labour force for all conditions studied except for noise-induced deafness or hearing loss and high cholesterol. After adjusting for age and sex, all associations apart from diseases of the ear and mastoid process, other endocrine, nutritional and metabolic disorders, noise-induced deafness or hearing loss, and high cholesterol remained significant (Box 3).
Adjusting for age and sex changed the ORs for certain conditions. The major reductions in ORs were observed for respiratory diseases, arthritis, circulatory diseases (other than hypertension), diseases of the musculoskeletal system and connective tissue (other than back problems), neoplasms and heart diseases, as these conditions were more common in older age groups than in younger ones. Conversely, adjusting for age and sex resulted in a rise in ORs for injury and accident, and mental and behavioural disorders because of their higher prevalence among younger people.
The total number of people out of the labour force because of a health condition was estimated at 663 235 for the population aged 45–64 years, reducing Australia’s GDP by approximately $14.7 billion per annum. When people who had long-term health conditions but reported that they were out of the labour force for reasons other than their health were excluded from the analysis, 541 391 older Australians were estimated to be not working because of ill health, resulting in a loss of around $12 billion per annum.
The number of long-term health conditions reported increased with age. The OR of being out of the labour force rose with an increase in the number of conditions reported (Box 4).
Using data from the Australian Bureau of Statistics, we estimated that 663 235 older Australian workers were missing from the labour force because of ill health in 2003. Back injuries, arthritis and mental health disorders accounted for approximately half the missing workers. This profile is similar to the profile of disorders accounting for most Disability Support Pension payments; musculoskeletal disorders, psychological problems and diseases of the circulatory system are the top three long-term conditions reported (Centrelink, Performance and Information Branch, data request BI3268: health conditions associated with sickness benefits and Disability Support Pension, 13 Jan 2006).
Our study had limitations that must be considered. Firstly, the impact on labour force participation is based on respondents’ self-reported main conditions. Although self-reported health is regarded as a valid measure,20 a possible bias in the results cannot be excluded. Secondly, as the data are cross-sectional, it is possible to identify associations, but not causal relationships. Although it is unlikely that being out of the labour force could cause most of the conditions reported, it is possible that depression and other affective disorders may be caused or exacerbated by unemployment; therefore, caution must be exercised in interpreting the results. Finally, the study did not capture mortality, and therefore could not estimate the impact of mortality on the labour force.
In the past, government policy has focused on increasing employment of older people. An Age Discrimination Bill was passed21 and the 15% tax on lump sums and pensions from superannuation schemes after the age of 60 years removed, effectively making them tax-free.22 However, these economic measures have not addressed the health conditions associated with much of the low labour force participation of older workers, and are unlikely to have a major impact on the labour force participation of people who are ill.
Traditionally, health care has focused on provision of services to improve health for its own sake, and employment policies and priorities have been determined independently from health priorities.
This study provides further support for the Australian Government’s health platform — to increase the opportunity for older people to participate in the workforce.18 For example, optimal treatment of depression involving maintenance cognitive behaviour therapy or drug treatment following an episode of major depression has been shown to avert 50% of associated disability.23 The increase in obesity, a risk factor for numerous chronic conditions,24 needs to be addressed. Internationally, lifestyle interventions, involving weight loss through improved diet and physical activity, have been shown to reduce the incidence of diabetes among people identified as high risk.25,26
With emerging skills shortages and an ageing workforce, Australia needs a more holistic approach to increase labour force participation among older people that considers the interaction of health, illness prevention and labour force priorities.
1 People not in the labour force by age group and sex, of 9198 Australians aged 45–64 years surveyed in 2003
2 Prevalence of long-term health conditions and labour force participation among 9198 Australians aged 45–64 years surveyed in 2003
3 Long-term health conditions associated with being out of the labour force and the lost workforce because of each condition
- Deborah J Schofield1
- Rupendra N Shrestha2
- Megan E Passey3
- Arul Earnest4
- Susan L Fletcher5
- Northern Rivers University Department of Rural Health, Lismore, NSW.
This study is part of ongoing research funded by an Australian Research Council Grant (Grant No. LP0774919) and by Pfizer Australia. We thank Mr Phil Gallagher, Manager, Retirement and Income Modelling Unit at the Commonwealth Treasury for his advice on estimating the GDP data.
None identified.
- 1. Costello P. Intergenerational report 2002–03. Canberra: Commonwealth of Australia, 2002. (Budget Paper No. 5.)
- 2. Costello P. Intergenerational report 2007. Canberra: Commonwealth of Australia, 2007.
- 3. Howard J. Address to Symposium on Mature Age Employment Luncheon [transcript]. Sydney, 2003; 27 Aug. http://pandora.nla.gov.au/pan/10052/20031121-0000/www.pm.gov.au/news/speeches/speech462.html (accessed Sep 2008).
- 4. Costello P. Doorstop interview Toorak Place Retirement Village [transcript]. Melbourne, 2005; 24 Oct. http://www.treasurer.gov.au/DisplayDocs.aspx?doc=transcripts/2005/143.htm&pageID=004&min=phc&Year=2005&DocType=2 (accessed Aug 2008).
- 5. Organisation for Economic Co-operation and Development. The labour force participation of older workers. The effects of pension and early retirement schemes. Paris: OECD Economics Department, 2004. http://www.oecd.org/dataoecd/25/4/31743847.pdf (accessed May 2004).
- 6. Australian Institute of Health and Welfare. Older Australia at a glance 2002. Canberra: AIHW, 2002. (AIHW Cat. No. AGE 25.)
- 7. Australian Bureau of Statistics. Retirement and Retirement Intentions Survey. Canberra: ABS, 1998. (ABS Cat. No. 6238.0.)
- 8. Yelin EH, Trupin LS, Sebesta DS. Transitions in employment, morbidity, and disability among persons ages 51–61 with musculoskeletal and non-musculoskeletal conditions in the US, 1992–1994. Arthritis Rheum 1999; 42: 769-779.
- 9. Henriksson F, Jönsson B. The economic cost of multiple sclerosis in Sweden in 1994. Pharmacoeconomics 1998; 13: 597-606.
- 10. Begley CE, Annegers JF, Swann AC, et al. The lifetime cost of bipolar disorder in the US: an estimate for new cases in 1998. Pharmacoeconomics 2001; 19: 483-495.
- 11. Moore R, Mao Y, Zhang J, Clarke K. Economic burden of illness in Canada, 1993. Ottawa: Canadian Public Health Association, 1997.
- 12. World Health Organization. Preventing chronic diseases: a vital investment. Geneva: WHO, 2005.
- 13. Access Economics. The economic cost of arthritis in New Zealand. Wellington: Arthritis New Zealand, 2005.
- 14. Access Economics. Acting positively: strategic implications of the economic costs of multiple sclerosis in Australia. Canberra: Multiple Sclerosis Australia, 2005.
- 15. Davey P, Colagiuri S, Conway B, et al. Cost of type 2 diabetes care in Australia — the DiabCost study. Answers that matter. Poster presented at the International Society For Pharmacoeconomics and Outcomes Research First Asia–Pacific Conference; 2003 Sep 1-3; Kobe, Japan.
- 16. Access Economics. The shifting burden of cardiovascular disease in Australia. Canberra: National Heart Foundation of Australia, 2005.
- 17. Access Economics. Centrally focussed: the impact of age-related macular degeneration. Melbourne: Centre for Eye Research Australia, 2006.
- 18. Rudd K, Roxon N. Fresh ideas, future economy: preventative health care for our families and future economy. Canberra: Australian Labor Party, Jun 2007. http://www.alp.org.au/download/fresh_ideas_future_economy___preventatve_health_care.pdf (accessed Jul 2007).
- 19. Australian Bureau of Statistics. Information paper: Basic Confidentialised Unit Record File: 2003 Survey of Disability, Ageing and Carers, 2003 (reissue). Canberra: ABS, 2005. (ABS Cat. No. 4430.0.00.001.)
- 20. Wannamethee G, Shaper AG. Self-assessment of health status and mortality in middle-aged British men. Int J Epidemiol 1991; 20: 239-245.
- 21. Age Discrimination Bill to become law. Find Law Australia 2004; 18 Jun. http://www.findlaw.com.au/news/default.asp?task=read&id=20603&site=LE (accessed Sep 2008).
- 22. Australian Government. A plan to simplify and streamline superannuation. Canberra: Australian Government, 2006. http://www.budget.gov.au/2006-07/overview2/html/overview_01.htm (accessed Jun 2006).
- 23. Vos T, Haby MM, Barendregt JJ, et al. The burden of major depression avoidable by longer-term treatment strategies. Arch Gen Psychiatry 2004; 61: 1097-1103.
- 24. Pi-Sunyer FX. Medical hazards of obesity. Ann Intern Med 1993; 119: 655-660.
- 25. Pan XR, Li GW, Hu YH, et al. Effects of diet and exercise in preventing NIDDM in people with impaired glucose tolerance. The Da Qing IGT and Diabetes Study. Diabetes Care 1997; 20: 537-544.
- 26. Tuomilehto J, Lindstrom J, Eriksson JG, et al. Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. N Engl J Med 2001; 344: 1343-1350.
Abstract
Objective: To examine the association between long-term health conditions and being out of the labour force among older Australians.
Design, setting and participants: Retrospective analysis of cross-sectional data from the Australian Bureau of Statistics 2003 Survey of Disability, Ageing and Carers for people aged 45–64 years.
Main outcome measures: Rates of premature retirement associated with ill health; odds ratios of being out of the labour force associated with each long-term health condition and number of conditions; weighted population estimates; estimates of gross domestic product lost as a result.
Results: 9198 people surveyed were aged 45–64 years, 3010 of whom were not in the labour force. Of these, 1373 (45.6%) had retired because of a chronic health condition, most commonly a back problem (10.4%), or arthritis and related disorders (8.6%). When adjusted for age and sex, all conditions studied except diseases of the ear and mastoid process, other endocrine/nutritional and metabolic disorders, noise-induced deafness or hearing loss, and high cholesterol were significantly associated with being out of the labour force. Extrapolating from these results, an estimated 663 235 older Australians were not working because of ill health, reducing Australia’s gross domestic product by around $14.7 billion per annum.
Conclusion: Prevention of long-term health conditions may help older Australians remain in the labour force longer, thereby increasing revenue to fund health care for the ageing population.