relationship between overweight and obesity, and sick leave: a systematic review
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...
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Veröffentlicht in: | International Journal of Obesity 2009-08, Vol.33 (8), p.807-816 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | 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. |
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ISSN: | 0307-0565 1476-5497 |
DOI: | 10.1038/ijo.2009.121 |