Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Jan 6;20(1):8.
doi: 10.1186/s12889-019-8103-4.

Sick leave absence and the relationship between intra-generational social mobility and mortality: health selection in Sweden

Affiliations

Sick leave absence and the relationship between intra-generational social mobility and mortality: health selection in Sweden

Sunnee Billingsley. BMC Public Health. .

Abstract

Background: Poor health could influence how individuals are sorted into occupational classes. Health selection has therefore been considered a potential modifier to the mortality class gradient through differences in social mobility. Direct health selection in particular may operate in the short-term as poor health may lead to reduced work hours or achievement, downward social mobility, unemployment or restricted upward mobility, and death. In this study, the relationship between social mobility and mortality (all-cause, cancer-related, cardiovascular disease-related (CVD), and suicide) is explored when the relationship is adjusted for poor health.

Methods: Using Swedish register data (1996-2012) and discrete time event-history analysis, odds ratios and average marginal effects (AME) of social mobility and unemployment on mortality are observed before and after accounting for sickness absence in the previous year.

Results: After adjusting for sickness absence, all-cause mortality remained lower for men after upward mobility in comparison to not being mobile (OR 0.82, AME -0.0003, CI - 0.0003 to - 0.0002). Similarly, upward mobility continued to be associated with lower cancer-related mortality for men (OR 0.85, AME -0.00008, CI - 0.00002 to - 0.0002), CVD-related mortality for men (OR 0.76, AME -0.0001, CI - 0.00006 to - 0.0002) and suicide for women (OR 0.67, AME -0.00002, CI - 0.000002 to - 0.00003). The relationship between unemployment and mortality also persisted across most causes of death for both men and women after controlling for previous sickness absence. In contrast, adjusting for sickness absence renders the relationship between downward mobility and cancer-related mortality not statistically different from the non-mobile.

Conclusions: Health selection plays a role in how downward mobility is linked to cancer related deaths. It additionally accounts for a portion of why upward mobility is associated with lower mortality. That health selection plays a role in how social mobility and mortality are related may be unexpected in a context with strong job protection. Job protection does not, however, equalize opportunities for upward mobility, which may be limited for those who have been ill. Because intra-generational upward mobility and mortality remained related after adjusting for sickness absence, other important mechanisms such as indirect selection or social causation should be explored.

PubMed Disclaimer

Conflict of interest statement

The author declare that he/she has no competing interests.

Figures

Fig. 1
Fig. 1
Social mobility and sickness absence in prior year: share of person/years
Fig. 2
Fig. 2
Average marginal effects in relation to no mobility on all-cause mortality
Fig. 3
Fig. 3
Average marginal effects in relation to no mobility on cancer-related mortality
Fig. 4
Fig. 4
Average marginal effects in relation to no mobility on CVD-related mortality
Fig. 5
Fig. 5
Average marginal effects in relation to no mobility on suicide
Fig. 6
Fig. 6
Average marginal effects in relation to working in the professional class, women
Fig. 7
Fig. 7
Average marginal effects in relation to working in the professional class, men

References

    1. Mackenbach JP, Kulhánová I, Artnik B, Bopp M, Borrell C, Clemens T, et al. Changes in mortality inequalities over two decades: register based study of countries. BMJ [Internet]. 2016;353:i1732 Available from: http://www.ncbi.nlm.nih.gov/pubmed/27067249, [cited 2018 Sep 24]. - PMC - PubMed
    1. Dahl E, Kjærsgaard P. Social mobility and inequality in mortality: an assessment of the health selection hypothesis. Eur J Pub Health. 1993;3:124–132. doi: 10.1093/eurpub/3.2.124. - DOI
    1. Claussen B, Smits J, Naess O, Smith GD. Intragenerational mobility and mortality in Oslo: social selection versus social causation. Soc Sci Med. 2005;61(12):2513–2520. doi: 10.1016/j.socscimed.2005.04.045. - DOI - PubMed
    1. Novak M, Ahlgren C, Hammarstrom A. Social and health-related correlates of intergenerational and intragenerational social mobility among Swedish men and women. Public Health [Internet] 2012;126(4):349–357. doi: 10.1016/j.puhe.2012.01.012. - DOI - PubMed
    1. Elovainio M, Ferrie JE, Singh-Manoux A, Shipley M, Batty GD, Head J, et al. Socioeconomic differences in cardiometabolic factors: social causation or health-related selection? Evidence from the Whitehall II cohort study, 1991-2004. Am J Epidemiol. 2011;174(7):779–789. doi: 10.1093/aje/kwr149. - DOI - PMC - PubMed

LinkOut - more resources