Dataset Information

Predictors of sickness absence in college and university educated self-employed: a historic register study.

ABSTRACT:

Background

Despite a large proportion of the workforce being self-employed, few studies have been conducted on risk factors for sickness absence in this population. The aim of this study is to identify risk factors for future sickness absence in a population of college and university educated self-employed.

Methods

In a historic register study based on insurance company files risk factors were identified by means of logistic regression analysis. Data collected at application for private disability insurance from 634 applicants were related to subsequent sickness absence periods of 30 days or more during a follow-up period of 7.95 years. Variables studied were self-reported lifestyle variables, variables concerning medical history and present health conditions and variables derived from the general medical examination including blood tests and urinary analysis.

Results

Results from analysis of data from 634 applicants for private disability insurance show that previous periods of sickness absence (OR 2.07), female gender (OR 2.04), health complaints listed in the health declaration (OR 1.88), elevated erythrocyte sedimentation rate (ESR) (OR 4.05) and the nature of the profession were related to a higher risk of sickness absence.

Conclusions

Sickness absence was found to be related to demographic variables (gender, profession), medical variables (health complaints and erythrocyte sedimentation rate) and to variables with both a medical and a behavioural component (previous sickness absence).

SUBMITTER: Wijnvoord LE

PROVIDER: S-EPMC4108014 | biostudies-literature | 2014 May

REPOSITORIES: biostudies-literature

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Publications

Predictors of sickness absence in college and university educated self-employed: a historic register study.

Wijnvoord Liesbeth E C LE Van der Klink Jac J L JJ De Boer Michiel R MR Brouwer Sandra S

BMC public health 20140502

<h4>Background</h4>Despite a large proportion of the workforce being self-employed, few studies have been conducted on risk factors for sickness absence in this population. The aim of this study is to identify risk factors for future sickness absence in a population of college and university educated self-employed.<h4>Methods</h4>In a historic register study based on insurance company files risk factors were identified by means of logistic regression analysis. Data collected at application for p ...[more]

PMID: 24886527

Similar Datasets

Project description:ObjectivesSocioeconomic position has been linked to sickness absence (SA). However, less is known about the role of occupational prestige, a measure of social status afforded by one's occupation, in SA. We investigated the association between occupational prestige and SA and the distribution of the association in women and men. We also examined the effect of intersections of gender and occupational prestige on SA.DesignLongitudinal.SettingA nationwide representative sample of Swedish working population.Participants97 397 employed individuals aged 25-59 years selected from the 2004, 2007 and 2010 waves of the Swedish Labour Force Survey and prospectively linked to the Swedish Longitudinal Integration Database for Health Insurance and Labour Market Studies.Outcome measuresThe number of SA days in any particular year during a 3-year follow-up and long-term (>120 days) SA based on those with at least one sick leave spell during the follow-up.ResultsOccupational prestige was weakly associated with SA in the total sample after adjusting for potential confounders. In the gender-stratified analysis, women in lower prestige occupations had higher absenteeism rates than women in high prestige occupations; men in lower prestige occupations had higher odds for long-term SA than men in high prestige occupations. In the intersectional analysis, women regardless of prestige level and men in lower prestige occupations had higher probability of SA compared with men in high prestige occupations. Women in high prestige occupations had the highest absenteeism rates (incidence rate ratio (IRR), 2.25, 95% CI, 2.20 to 2.31), while men in medium prestige occupations had the lowest rates (IRR, 1.17, 95% CI, 1.13 to 1.20). Compared with the rest of the groups, men in low and medium prestige occupations had higher odds for long-term absence.ConclusionThere is need to pay close attention to occupational prestige as a factor that may influence health and labour market participation.

Dataset Information

Predictors of sickness absence in college and university educated self-employed: a historic register study.

Background

Methods

Results

Conclusions

Publications

Predictors of sickness absence in college and university educated self-employed: a historic register study.

Similar Datasets

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