Association of anthropometric measures with SF-36v2 PCS and MCS in a multi-ethnic Asian population View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2013-05

AUTHORS

Maudrene L. S. Tan, Hwee-Lin Wee, Jeannette Lee, Stefan Ma, Derrick Heng, E-Shyong Tai, Julian Thumboo

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 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. 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. More... »

PAGES

801-810

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11136-012-0193-8

DOI

http://dx.doi.org/10.1007/s11136-012-0193-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1026765092

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/22610496


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s11136-012-0193-8'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11136-012-0193-8'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11136-012-0193-8'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11136-012-0193-8'


 

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