The association between smoking and body mass index: results from a national sample of Malaysian adults.
Aim: To investigate the association between smoking status and body-mass-index (BMI) categories. Subject and methods: Data are obtained from 2,340 observations from the Malaysia Non-Communicable Disease Surveillance-1. An ordered probability model for BMI categories with ordinal smoking treatment ca...
| Publicado en: | Journal of Public Health: From Theory to Practice (2198-1833) Vol. 21; no. 5; pp. 403 - 413 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Springer Nature
Oct2013
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=90244925&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 90244925 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 21981833 NENI jtl: Journal of Public Health: From Theory to Practice (2198-1833) issn: 21981833 maglogo: N pubinfo: dt: Oct2013 vid: 21 iid: 5 pid: 237 pub: Springer Nature artinfo: ui: 90244925 10.1007/s10389-013-0569-4 ppf: 403 ppct: 10 formats: tig: atl: The association between smoking and body mass index: results from a national sample of Malaysian adults. aug: au: Tan, Andrew Yen, Steven Feisul, Mustapha affil: School of Social Sciences, Universiti Sains Malaysia, 11800 Minden Malaysia Department of Agricultural and Resource Economics, The University of Tennessee, Knoxville 37996-4518 USA Disease Control Division, Department of Public Health, Ministry of Health Malaysia, 62590 Putrajaya Malaysia su: Malaysia Interviewing Obesity Smoking Socioeconomic factors Educational attainment Research methodology Regression analysis Research funding Surveys Body mass index Descriptive statistics sug: subj: Interviewing Obesity Smoking Socioeconomic factors Educational attainment Malaysia Research methodology Regression analysis Research funding Surveys Body mass index Descriptive statistics keyword: Body weight Treatment effect Body weight Treatment effect ab: Aim: To investigate the association between smoking status and body-mass-index (BMI) categories. Subject and methods: Data are obtained from 2,340 observations from the Malaysia Non-Communicable Disease Surveillance-1. An ordered probability model for BMI categories with ordinal smoking treatment categories is developed and estimated. Marginal and treatment effects are calculated. Results: Socio-demographic and health-lifestyle factors play significant roles in body weight categories, conditional upon smoking status. Education levels are inversely correlated with BMI categories amongst non-smokers only. Age and income levels are associated with BMI within non-smokers and compulsive smokers. Gender (female), family history of serious illnesses, individual health conditions (hypercholesterolemic, hypertensive), ethnicity (Malays and Indians) and regional locations (metropolitan) are associated with higher BMI levels, irrespective of smoking status. Additionally, BMI categories and levels are closely associated with smoking habits. As individuals switch from non-smoking to casual smoking, the probability of being overweight or obese increases, with an upsurge of 1.89 BMI units. As the casual smoking habit evolves into compulsive smoking, overweight or obese likelihoods are lowered as individuals are more likely to be in the underweight, normal weight or at-risk weight BMI ranges instead, while experiencing a decline of 1.75 BMI units. Conclusions: There exists close association between BMI categories and levels with smoking habits. As smoking tendencies develop from being a non-smoker to a casual (compulsive) smoker, overweight or obese likelihoods increase (decrease), as individuals realize an upsurge (reduction) in BMI levels. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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