Indicators and determinants of the years of working life lost: a narrative review

Which chronic diseases contribute the most to healthy life years lost in Algeria?

OBJECTIVES

Chronic diseases contribute significantly to healthy years lost (HYLs). It is critical to investigate which are the most contributing diseases to enable enhancing health programs' effectiveness in improving health expectancy. This paper investigates disease-specific contributions to years lived with chronic diseases in Algeria and examines their recent evolution.

METHODS

We used morbidity data from the last three waves of the Multiple Indicator Cluster Surveys of 2006, 2012-13, and 2018-19. The studied chronic diseases included hypertension, cardiovascular diseases (CVDs), joint diseases, respiratory diseases, and diabetes. We calculated disease-specific contributions using the cause-deleted health expectancy approach. Then, we analyzed time changes and gender-based differences in contributions.

RESULTS

The leading cause of HYLs in women is hypertension, followed by diabetes, joint diseases, CVDs, and respiratory diseases. The same ranking applies to men, with joint diseases coming last. The time evolution of relative disease-specific contributions shows an increase in CVDs for women and diabetes for both genders, against a decrease for the other diseases.

DISCUSSION

To improve chronic disease-free life expectancy in Algeria, effective prevention programs must be implemented, with an emphasis on hypertension and diabetes. Further investigation into the risk factors affecting the prevalence and incidence of these diseases is also required.

Socioeconomic differences in working life expectancy: a scoping review

BACKGROUND

In the last decade, interest in working life expectancy (WLE) and socioeconomic differences in WLE has grown considerably. However, a comprehensive overview of the socioeconomic differences in WLE is lacking. The aim of this review is to systematically map the research literature to improve the insight on differences in WLE and healthy WLE (HWLE) by education, occupational class and income while using different ways of measuring and estimating WLE and to define future research needs.

METHODS

A systematic search was carried out in Web of Science, PubMed and EMBASE and complemented by relevant publications derived through screening of reference lists of the identified publications and expert knowledge. Reports on differences in WLE or HWLE by education, occupational class or income, published until November 2022, were included. Information on socioeconomic differences in WLE and HWLE was synthesized in absolute and relative terms.

RESULTS

A total of 26 reports from 21 studies on educational and occupational class differences in WLE or HWLE were included. No reports on income differences were found. On average, WLE in persons with low education is 30% (men) and 27% (women) shorter than in those with high education. The corresponding numbers for occupational class difference were 21% (men) and 27% (women). Low-educated persons were expected to lose more working years due to unemployment and disability retirement than high-educated persons.

CONCLUSIONS

The identified socioeconomic inequalities are highly relevant for policy makers and pose serious challenges for equitable pension policies. Many policy interventions aimed at increasing the length of working life follow a one-size-fits-all approach which does not take these inequalities into account. More research is needed on socioeconomic differences in HWLE and potential influences of income on working life duration.

Gender, education, and cohort differences in healthy working life expectancy at age 50 years in Australia: a longitudinal analysis

BACKGROUND

We aimed to estimate healthy working life expectancy (HWLE) at age 50 years by gender, cohort, and level of education in Australia.

METHODS

We analysed data from two nationally representative cohorts in the Household Income and Labour Dynamics in Australia survey. Each cohort was followed up annually from 2001 to 2010 and from 2011 to 2020. Poor health was defined by a self-reported, limiting, long-term health condition. Work was defined by current employment status. HWLEs were estimated with Interpolated Markov Chain multi-state modelling.

FINDINGS

We included data from 4951 participants in the cohort from 2001 to 2010 (2605 [53%] women and 2346 [47%] men; age range 50-100 years) and 6589 participants in the cohort from 2011 to 2020 (3518 [53%] women and 3071 [47%] men; age range 50-100 years). Baseline characteristics were similar between groups. Working life expectancy increased over time for all groups, regardless of gender or educational attainment. However, health expectancies only increased for men and people of either gender with higher education. Years working in good health at age 50 years for men were 9·9 years in 2001 (95% CI 9·3-10·4) and 10·8 years (10·4-11·3) in 2011. The corresponding HWLEs for women were 7·9 years (7·3-8·5) and 9·0 years (8·5-9·6). For people with low education level, HWLE was 7·9 years (7·3-8·5) in 2001 and 8·4 years (7·9-8·9) in 2011, and for those with high education level, HWLE rose from 9·6 years in 2001 (9·1-10·1) to 10·5 years in 2011 (10·2-10·9). Across all groups, there were at least 2·5 years working in poor health and 6·7 years not working in good health.

INTERPRETATION

Increases in length of working life have not been accompanied by similar gains in healthy life expectancy for women or people of any gender with low education, and it is not unusual for workers older than 50 years to work with long-term health limitations. Strategies to achieve longer working lives should address life-course inequalities in health and encourage businesses and organisations to recruit, train, and retain mature-age workers.

FUNDING

Australian Research Council.

A conceptual framework addressing the complex labour market dynamics of the work-to-retirement process

The way in which retirement is conceptualized and measured is likely to influence the research findings. The previous literature has addressed a wide range of elements related to the complex work-to-retirement process, such as early, late and partial retirement, statutory retirement, work disability and unemployment paths to retirement, or different types of bridge employment. However, conceptual clarity in terms of connections between the different elements is called for. We introduce a conceptual framework of the work-to-retirement process to guide its future measurement. Together with information on the statutory retirement age, the main elements of the framework are based on employment and pension receipt, acknowledging that these may overlap. The framework is flexible to the user, providing the possibility to add various specifications-e.g. of types of employment, types of pension receipt, unemployment, and being outside the labour force-depending on the study context and aims. The framework highlights the complexity of the work-to-retirement process, bringing forth its multifaceted, multiphased and multidirectional features. Accounting for such complexity in later-life labour market dynamics helps to elaborate what is actually addressed when investigating "retirement". Our conceptual framework can be utilized to enhance well-defined, precise and comparable measurement of the work-to-retirement process in studies.