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
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 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).
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.
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
1 People not in the labour force by age group and sex, of 9198 Australians aged 45–64 years surveyed in 2003
No. not in the labour force in survey group (%)* |
Weighted no. not in the labour force (%)* in population† |
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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
4 Association of number of long-term health conditions with being out of the labour force
* Adjusted for age group and sex. The reference group was “no condition”. |
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.