Search

Objective: To investigate the relationship between overweight and obesity and sick leave., Design: Systematic, qualitative review., Literature Search: A search in diverse databases was performed. Studies were considered as relevant if they were longitudinal in design and investigated the relationship between overweight and obesity and sick leave., Data Extraction: The methodological quality of the studies was evaluated with a quality criteria list. To draw conclusions, a best-evidence synthesis was applied., Results: Thirteen studies were included. Four out of seven found overweight to be a predictor of long-term sick leave, whereas the remaining three showed a positive trend, but did not observe significance. Of the five studies investigating the relationship between overweight and short-term sick leave, inconsistent results were shown. Seven out of eight studies investigating the relationship with long-term sick leave found obesity as a significant predictor of long-term sick leave. In contrast, there were inconsistent results between the five studies examining the relationship between obesity and short spells of sick leave., Conclusions: Although this review found inconclusive evidence for a relationship between overweight and sick leave, a clear trend was discerned in that overweight was a predictor of especially long spells (>7 days) of sick leave. As regards obesity, there was strong evidence for a positive relationship with sick leave because of the consistent finding that obesity was a significant predictor of long-term sick leave.

The objective of this study was to compare sick leave data obtained from questionnaires with data from company records. During a period of 12 months, questionnaires were completed monthly for 6 months and then at 9 and 12 months. The sensitivity and specificity of questionnaires for detecting an episode of sick leave were determined, using the company records as a reference standard. In addition, the duration of sick leave episodes reported in the two data sets was compared. In this analysis, company records were not assumed to be superior, and agreement was assessed with intraclass correlation coefficients (ICCs). The sensitivity of questionnaires for detecting an episode of sick leave was 55% (95% CI = 0.50-0.60) and the specificity 83% (95% CI = 0.72-0.94). The ICC for all episodes was 0.58 (95% CI = 0.47-0.67). The only satisfactory ICC (0.87; 95% CI = 0.74-0.93) was found for the questionnaires at 9 and 12 months. No large systematic differences were found between the duration of episodes reported in the two data sets. In conclusion, in our study, the sensitivity of questionnaires for detecting an episode of sick leave was very low. Furthermore, when episodes were recalled, there was little agreement on the duration of the episode between questionnaire data and data in the company records. Based on these results and considering the risk of missing questionnaires, data on sick leave gathered from company records are clearly preferable as an outcome measure in research.