Health care costs and lost productivity costs related to excess weight in Belgium ...
Abstract Background This study aimed to estimate annual health care and lost productivity costs associated with excess weight among the adult population in Belgium, using national health data. Methods Health care costs and costs of absenteeism were estimated using data from the Belgian national health interview survey (BHIS) 2013 linked with individual health insurance data (2013–2017). Average yearly health care costs and costs of absenteeism were assessed by body mass index (BMI) categories – i.e., underweight (BMI < 18.5 kg/m2), normal weight (18.5 ≤ BMI < 25 kg/m2), overweight (25 ≤... Mehr ...
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Dokumenttyp: | Datenquelle |
Erscheinungsdatum: | 2022 |
Verlag/Hrsg.: |
figshare
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Schlagwörter: | Medicine / 59999 Environmental Sciences not elsewhere classified / FOS: Earth and related environmental sciences / Sociology / FOS: Sociology / Science Policy |
Sprache: | unknown |
Permalink: | https://search.fid-benelux.de/Record/base-28970908 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://dx.doi.org/10.6084/m9.figshare.c.6184917.v1 |
Abstract Background This study aimed to estimate annual health care and lost productivity costs associated with excess weight among the adult population in Belgium, using national health data. Methods Health care costs and costs of absenteeism were estimated using data from the Belgian national health interview survey (BHIS) 2013 linked with individual health insurance data (2013–2017). Average yearly health care costs and costs of absenteeism were assessed by body mass index (BMI) categories – i.e., underweight (BMI < 18.5 kg/m2), normal weight (18.5 ≤ BMI < 25 kg/m2), overweight (25 ≤ BMI < 30 kg/m2) and obesity (BMI ≥ 30 kg/m2). Health care costs were also analysed by type of cost (i.e. ambulatory, hospital, reimbursed medication). The cost attributable to excess weight and the contribution of various other chronic conditions to the incremental cost of excess weight were estimated using the method of recycled prediction (a.k.a. standardisation). Results According to BHIS 2013, 34.7% and 13.9% of ...