ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2013
Association of anthropometric measures with SF-36v2 PCS and MCS in a multi-ethnic Asian population.
Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 11 citations in OpenAlex.
- Differentials in health-related quality of life of employed and unemployed women with normal vaginal delivery.BMC women's health · 2018Article
- Comparison of different measures of obesity in their association with health-related quality of life in older adults - results from the KORA-Age study.Public health nutrition · 2016Article
- Combined association of fitness and central adiposity with health-related quality of life in healthy Men: a cross-sectional study.Health and quality of life outcomes · 2015Article
- Childhood and family influences on body mass index in early adulthood: findings from the Ontario Child Health Study.BMC public health · 2012Article
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7 authors at 3 institutions in 1 country.
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Abstract
purposeObesity adversely affects health-related quality of life (HRQoL). Most studies have used body mass index (BMI) to measure obesity. Other measures of obesity, such as waist circumference (WC) or waist-to-hip ratio (WHR), may be better predictors of cardiovascular disease and mortality. We, therefore, examined the associations between other anthropometric measures and HRQoL in a multi-ethnic Asian population.
methodsIn this follow-up study from four previous cross-sectional surveys, HRQoL was measured, at follow-up, using the Short-Form 36 version 2 (SF-36v2) questionnaire. Linear regression was used to assess the relationship between anthropometric measures [BMI, WC, waist residuals (WR) (generated by regressing WC on BMI), WHR, waist-to-height ratio (WHtR) and height (Ht)] and HRQoL. We compared the models' R2, Akaike's information criteria (AIC), and Schwarz Bayesian information criteria (BIC) from the different models.
resultsAmong 4,981 subjects, 47.6% were men aged 50.6 ± 12.2 and women aged 49.3 ± 11.6 years. All gender-specific anthropometric measures were significantly correlated with BMI, except WR. After adjusting for known determinants of HRQoL, we found significant associations between BMI, WC and WHtR with SF-36v2 Physical Component Summary (PCS) scores in women but not men. In contrast, after adjusting for known determinants of HRQoL, WR and WHR were significantly associated with SF-36v2 Mental component summary (MCS) scores in men, but not women. R², AIC and BIC were similar for all anthropometric measures in the final model.
conclusionsThe associations between measures of central obesity and HRQoL differed between men and women. In women, associations were seen with SF-36v2 PCS, but measures of central obesity did not have significant associations with HRQoL after controlling for BMI. In men, an association between WC and SF-36v2 MCS was statistically significant independent of BMI. These gender differences require further investigation.
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