Cost of obesity in the workplace

Schmier, Jordana K.; Jones, Mechelle L.; Halpern, Michael T.

doi:10.5271/sjweh.970

Cited by 134 publications

(87 citation statements)

References 42 publications

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“…For example, we included studies with a longitudinal design only, whereas earlier reviews included a lower number of studies, which were predominantly crosssectional in design. 12,13,31 The remarkably low number of longitudinal studies included in the earlier reviews could be because the present review was performed a few years later, next to the primary purpose of the review. Namely, they were interested in other outcomes, such as the economic impact of obesity.…”

Section: Discussionmentioning

confidence: 99%

“…12,13,31 Plausible explanations for the different conclusions are thus differences in the purpose of the review, and thereby the method of the review. For example, we included studies with a longitudinal design only, whereas earlier reviews included a lower number of studies, which were predominantly crosssectional in design.…”

Section: Discussionmentioning

confidence: 99%

“…Instead, the earlier reviews on a similar topic (eg costs of obesity) have briefly discussed the potential for a relationship between overweight, obesity, and sick leave. 12,13 In addition, earlier literature studies did not apply a systematic approach in the literature search or use a quality assessment and bestevidence synthesis.…”

Section: Introductionmentioning

confidence: 99%

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The relationship between overweight and obesity, and sick leave: a systematic review

et al. 2009

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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 bestevidence 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 (47 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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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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The relationship between overweight and obesity, and sick leave: a systematic review

et al. 2009

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“…1 In Sweden, the three greatest drivers of such productivity losses are musculoskeletal, circulatory and psychiatric disorders, 2,3 all closely associated with weight status. 4 With the rapid increases of overweight and obesity during the past decades, [5][6][7][8] there is reason for concern with regard to potential effects on productivity.…”

Section: Introductionmentioning

confidence: 99%

“…9 The influence of obesity status on productivity costs has received considerable attention. 1,10 However, many studies have been afflicted by limitations such as mixing of underweight and normal weight subjects, 2,11,12 lack of analysis of underlying causes, [13][14][15] problems with reverse causality and/ or left censoring. 11,12,15 Partly or totally mixing the underweight and normal weight categories may obscure the actual BMI (body mass index)-disability relationship, as the risk in underweight subjects appears to be distinct from the risk associated with normal weight.…”

Section: Introductionmentioning

confidence: 99%