Document Detail

A quantile regression approach to re-investigate the relationship between sleep duration and body mass index in Taiwan.
MedLine Citation:
PMID:  21327855     Owner:  NLM     Status:  Publisher    
OBJECTIVE: Previous studies on the relationship between sleep duration and body mass index (BMI) have shown inconsistent results by using estimation strategies within the framework of ordinary least squares (OLS). This study examined the relationship between sleep duration and BMI by using quantile regression to account for the potential heterogeneous effect of sleep duration on BMI in different BMI categories. METHODS: The data of 2,392 adults were from the 2005 Panel Study of Family Dynamics in Taiwan. The dependent variable was BMI of the respondents. Both OLS and quantile regression models were used for comparison. RESULTS: The OLS model does not show significant relationship, while the quantile regression model shows a U-shaped relationship between sleep duration and BMI beyond the 90th percentile in men (BMI = 28.69) and an inverse U-shaped relationship at the 30th percentile of BMI in women (BMI = 21.37). CONCLUSIONS: Quantile regression can provide information that may be masked by OLS in analyzing the relationship between sleep duration and BMI. Sleep modification with the aim to obtain the optimal sleep duration may help to reduce BMI in obese men.
Chiang-Ming Chen; Chen-Kang Chang; Chia-Yu Yeh
Related Documents :
11106205 - Nasal obstruction as a risk factor for sleep apnoea syndrome.
16043965 - Prevalence of moderate or severe left ventricular diastolic dysfunction in obese person...
16052415 - Cardiopulmonary consequences of obstructive sleep apnea.
17425225 - Sleep-disordered breathing and cardiovascular risk.
23731915 - Sleep in ring chromosome 20 syndrome: a peculiar electroencephalographic pattern.
11693705 - Facial expression and sarcasm.
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-2-15
Journal Detail:
Title:  International journal of public health     Volume:  -     ISSN:  1661-8564     ISO Abbreviation:  -     Publication Date:  2011 Feb 
Date Detail:
Created Date:  2011-2-17     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101304551     Medline TA:  Int J Public Health     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Department of Economics, National Chi Nan University, No.1, Daxue Rd, Puli Township, Nantou, Nantou County, 545, Taiwan.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Previous Document:  Decomposing income-related inequality in cervical screening in 67 countries.
Next Document:  Development and validation of the stressful life event questionnaire.