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.
Study name: Malaysia Non-Communicable Disease Surveillance-1 (MyNCDS-1) survey
Aim: To investigate cigarette consumption patterns exhibited by non-smokers, occasional smokers, and daily smokers in Malaysia.
Subjects and methods: A sample of 4204 individuals from the 2011 Malaysian Global Adult Tobacco Survey is analyzed. A zero-inflated ordered probit model is used to accommodate the ordinal nature of smoking outcomes with excessive zero observations of non-smokers.
Results: Socio-demographic characteristics are closely associated with consumption patterns of non-smokers, occasional smokers, and daily smokers. Specifically, urbanites, government employees, and Malays exhibit greater tendencies to be daily smokers and lower propensities to be non-smokers than others. Education is a deterring factor in cigarette smoking as higher education up to the tertiary level raises the propensity of being a non-smoker by 8.16 percentage points. The role of ethnicity is highlighted as individuals of Malay and other ethnic backgrounds are more likely to smoke daily, while exhibiting lower propensities of being non-smokers. Males are more likely to engage in occasional or daily smoking than females. Employment in government or non-government sectors increases the probability of daily smoking.
Conclusions: Our results suggest the need to include measures to cope with internal or external cues among smokers with specific socio-demographic characteristics. Cessation interventions should focus on daily smokers in urban surroundings with low education levels and those of Malay ethnic origins. Anti-smoking measures in line with occasional smoking may include ameliorating the male attitude toward smoking and policies to prohibit workplace indulgence.
Study name: Global Adults Tobacco Survey (GATS-2011)