Please use this identifier to cite or link to this item: https://doi.org/10.1007/s11136-012-0193-8
Title: Association of anthropometric measures with SF-36v2 PCS and MCS in a multi-ethnic Asian population
Authors: Tan, M.L.S.
Wee, H.-L. 
Lee, J. 
Ma, S.
Heng, D.
Tai, E.-S.
Thumboo, J.
Keywords: Anthropometric measures
Obesity
Obesity-indices
Quality of life
SF-36v2
Issue Date: May-2013
Citation: Tan, M.L.S., Wee, H.-L., Lee, J., Ma, S., Heng, D., Tai, E.-S., Thumboo, J. (2013-05). Association of anthropometric measures with SF-36v2 PCS and MCS in a multi-ethnic Asian population. Quality of Life Research 22 (4) : 801-810. ScholarBank@NUS Repository. https://doi.org/10.1007/s11136-012-0193-8
Abstract: Purpose Obesity 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. Methods In this follow-up study from four previous crosssectional 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-toheight 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. Results Among 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. Conclusions The 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. © Springer Science+Business Media B.V. 2012.
Source Title: Quality of Life Research
URI: http://scholarbank.nus.edu.sg/handle/10635/108719
ISSN: 09629343
DOI: 10.1007/s11136-012-0193-8
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