Background: Little is known about associations between occupational prestige, that is, the symbolic evaluation and social positioning of occupations, and sickness absence (SA) or disability pension (DP). We explored whether occupational prestige was associated with future SA or DP among women and men.
Methods: A Swedish 4-year prospective cohort study of all those in paid work and aged 25-59 in 2010 ( = 2,605,227; 47% women), using linked microdata from three nationwide registers and Standard International Occupational Prestige Scale values, categorised as 'very low', 'low', 'medium', 'high', or 'very high'. Odds ratios (ORs), 95% confidence intervals (CIs), crude and adjusted for several sociodemographic factors, were calculated for three outcomes: at least one SA spell (>14 days), >90 SA days, or DP occurrence, during follow-up (2011-2013).
Results: The mean number of SA days in 2010 varied by occupational prestige group, for example, 'very high': 3.0, 'very low': 6.5. Compared to those in occupations with 'very high' prestige, all other groups had higher adjusted ORs for all three outcomes. Among men, those with 'very low' occupational prestige had the highest OR for at least one SA spell: OR 1.51 (95% CI 1.47-1.56); among women, the 'medium' group had the highest OR: 1.30 (1.27-1.32). The results were similar for SA >90 days. OR for DP among women with 'very low' occupational prestige was 2.01 (1.84-2.19), and 3.55 (3.15-4.01) for men.
Conclusions:
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http://dx.doi.org/10.1177/14034948241272936 | DOI Listing |
Am J Epidemiol
December 2024
Univ Rennes, CHU Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, F-35000 Rennes, France.
Attributable burden of disease estimates reported population-wide do not reflect social disparities in exposures and outcomes. This makes one of the influential scientific tools in public health decision-making insensitive to the distribution of health impacts between socioeconomic groups. Our aim was to use the often-overlooked distributive property of the population attributable fraction (PAF) to quantitatively partition the population burden attributed to know risk factors into subgroups defined by their socioeconomic position (SEP).
View Article and Find Full Text PDFAlcohol Clin Exp Res (Hoboken)
January 2025
Department of Psychology, University of Amsterdam, Amsterdam, Noord-Holland, The Netherlands.
Background: The complex interactions between an individual's drinking behavior and their social environment is crucial but understudied, particularly in mature adult populations. Our aim is to unravel these complexities by investigating how personal drinking patterns are related to those of one's social environment over time, and what the interplay is with personal factors such as occupational prestige and smoking behavior.
Method: The present study adopts an innovative graphical autoregressive (GVAR) panel network modeling approach to investigate the dynamics between personal drinking habits and social environmental factors, utilizing a comprehensive longitudinal dataset from the Framingham Heart Study with a large sample of predominantly mature adults (N = 1719-5718) connected within a social network.
Soc Sci Med
January 2025
Cologne Center for Ethics, Rights, Economics and Social Sciences of Health, University of Cologne, Germany.
Objectives: Very old adults aged 80+ years old belong to the fastest growing population segment in many countries. Nevertheless, this age group is often underrepresented in studies of cognitive aging. The goal of this study was to examine individual and environmental socio-economic resources as correlates of cognitive aging in very old age.
View Article and Find Full Text PDFJ Med Internet Res
November 2024
State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Background: The widespread adoption of information and communication technologies (ICTs) further deepens disparities in resource access, particularly among the aging population. However, the relationship between these factors and their resulting impact on cognitive abilities remains uncertain.
Objective: This study aims to investigate the potential impact of the digital divide on individuals' cognitive function and its association with the development and reversion of mild cognitive impairment (MCI).
BMC Nurs
November 2024
Nursing Department, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100013, China.
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