Background: Knowledge about sickness absence (SA) and disability pension (DP) among privately employed white-collar workers is very limited. Aims: This study aimed to explore SA and DP among privately employed white-collar women and men using different measures of SA to investigate differences by branch of industry, and to analyse the association between sociodemographic factors and SA. Methods: This was a population-based study of all 1,283,516 (47% women) privately employed white-collar workers in Sweden in 2012, using register data linked at the individual level. Several different measures of SA and DP were used. Logistic regression was used to investigate associations of sociodemographic factors with SA. Results: More women than men had SA (10.9% women vs. 4.5% men) and DP (1.8% women vs. 0.6% men). While women had a higher risk of SA than men and had more SA days per employed person, they did not have more SA days per person with SA than men. The risk of SA was higher for women (odds ratio (OR)=2.54 (95% confidence interval (CI) 2.51-2.58)), older individuals (OR age 18-24 years=0.58 (95% CI 0.56-0.60); age 55-64 years OR=1.43 (95% CI 1.40-1.46) compared to age 45-54 years), living in medium-sized towns (OR=1.05 (95% CI 1.03-1.06)) or small towns/rural areas (OR=1.13 (95% CI 1.11-1.15)), with shorter education than college/university (OR compulsory only=1.64 (95% CI 1.59-1.69); OR high school=1.38 (95% CI 1.36-1.40)), born outside the EU25 (OR=1.23 (95% CI 1.20-1.27)) and singles with children at home (OR=1.33 (95% CI 1.30-1.36)). Conclusions: SA and DP among privately employed white-collar workers were lower than in the general population. SA prevalence, length and risk varied by branch of industry, sex and other sociodemographic factors, however, depending on the SA measure used.
Background: Knowledge about sickness absence (SA) and disability pension (DP) among privately employed white-collar workers is very limited. Aims: This study aimed to explore SA and DP among privately employed white-collar women and men using different measures of SA to investigate differences by branch of industry, and to analyse the association between sociodemographic factors and SA. Methods: This was a population-based study of all 1,283,516 (47% women) privately employed white-collar workers in Sweden in 2012, using register data linked at the individual level. Several different measures of SA and DP were used. Logistic regression was used to investigate associations of sociodemographic factors with SA. Results: More women than men had SA (10.9% women vs. 4.5% men) and DP (1.8% women vs. 0.6% men). While women had a higher risk of SA than men and had more SA days per employed person, they did not have more SA days per person with SA than men. The risk of SA was higher for women (odds ratio (OR)=2.54 (95% confidence interval (CI) 2.51-2.58)), older individuals (OR age 18-24 years=0.58 (95% CI 0.56-0.60); age 55-64 years OR=1.43 (95% CI 1.40-1.46) compared to age 45-54 years), living in medium-sized towns (OR=1.05 (95% CI 1.03-1.06)) or small towns/rural areas (OR=1.13 (95% CI 1.11-1.15)), with shorter education than college/university (OR compulsory only=1.64 (95% CI 1.59-1.69); OR high school=1.38 (95% CI 1.36-1.40)), born outside the EU25 (OR=1.23 (95% CI 1.20-1.27)) and singles with children at home (OR=1.33 (95% CI 1.30-1.36)). Conclusions: SA and DP among privately employed white-collar workers were lower than in the general population. SA prevalence, length and risk varied by branch of industry, sex and other sociodemographic factors, however, depending on the SA measure used.
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