Direct and indirect costs of smoking in Vietnam.

OBJECTIVE: To estimate the direct and indirect costs of active smoking in Vietnam. METHOD: A prevalence-based disease-specific cost of illness approach was utilised to calculate the costs related to five smoking-related diseases: lung cancer, cancers of the upper aerodigestive tract, chronic obstructive pulmonary disease, ischaemic heart disease and stroke. Data on healthcare came from an original survey, hospital records and official government statistics. Morbidity and mortality due to smoking combined with the average per capita income were used to calculate the indirect costs of smoking by applying the human capital approach. The smoking-attributable fraction was calculated using the adjusted relative risk values from phase II of the American Cancer Society Cancer Prevention Study (CPS-II). Costs were classified as personal, governmental and health insurance costs. RESULTS: The total economic cost of smoking in 2011 was estimated at 24 679.9 billion Vietnamese dong (VND), equivalent to US$1173.2 million or approximately 0.97% of the 2011 gross domestic product. The direct costs of inpatient and outpatient care reached 9896.2 billion VND (US$470.4 million) and 2567.2 billion VND (US$122.0 million), respectively. The government's contribution to these costs was 4534.3 billion VND (US$215.5 million), which was equivalent to 5.76% of its 2011 healthcare budget. The indirect costs (productivity loss) due to morbidity and mortality were 2652.9 billion VND (US$126.1 million) and 9563.5 billion VND (US$454.6 million), respectively. These indirect costs represent about 49.5% of the total costs of smoking. CONCLUSIONS: Tobacco consumption has large negative consequences on the Vietnamese economy.

Prevalence of waterpipe tobacco smoking among population aged 15 years or older, Vietnam, 2010.

INTRODUCTION: The prevalence of waterpipe tobacco smoking is increasing globally and is associated with adverse outcomes requiring tobacco control interventions. We estimated the prevalence of waterpipe tobacco use among adult populations in Vietnam in 2010 and examined its association with sociodemographic factors. METHODS: We used data from the Global Adult Tobacco Survey (GATS) conducted in Vietnam in 2010. GATS surveyed a national representative sample of adults aged 15 years or older from 11,142 households by using a 2-phase sampling design analogous to a 3-stage stratified cluster sampling. Descriptive statistical analyses and multivariate logistic regression modeling were conducted. RESULTS: A total of 6.4% of Vietnamese aged 15 years or older (representing about 4.1 million adult waterpipe smokers) reported current waterpipe tobacco smoking. The prevalence of waterpipe tobacco smoking was significantly higher among men than women (13% vs 0.1%). Area of residence (rural or urban), age group, asset-based wealth quintile, and geographic region of residence were significantly associated with waterpipe tobacco smoking among men. The significant correlates of current waterpipe tobacco smoking among men were lower education levels, being middle-aged (45-54 years), lower asset-based wealth levels, living in rural areas, not living in the South East and the Mekong River Delta geographic regions, and the belief that smoking does not causes diseases. CONCLUSION: Rural dwellers who are poor should be targeted in tobacco control programs. Further studies are needed that examine perceptions of the adverse health effects and the cultural factors of waterpipe tobacco smoking.

Exposure to second-hand smoke at home and its associated factors: findings from the Global Adult Tobacco Use survey in Vietnam, 2010.

OBJECTIVE: The paper describes the pattern of exposure to second-hand smoke (SHS) at home among the adult population of Vietnam and examines associated socio-demographic factors. METHODS: A total of 11,142 households were selected for this survey using a two-phase sampling design analogous with three-stage stratified cluster sampling. The dependent variable was the status of exposure to SHS at home. Independent variables included gender, age, occupation, asset-based wealth quintile, ethnicity, marital status, residence. Logistic regression modelling was performed to examine the association with relevant factors of patterns of exposure to second-hand smoke among non-smokers. RESULTS: Of adults aged 15 years and above (representing approximately 47 million people) 73.1% reported they were exposed to SHS at home at least monthly. Considering non-smokers only, the prevalence of exposure to SHS at home was 67.6% (equivalent to approximately 33 million non-smokers). The significant correlates of the status of exposure to SHS at home among non-smokers were female gender, ethnic minority, low education, and lack of smoking restriction at home. CONCLUSION: The study showed that a high percentage of people are exposed to second-hand smoke at home. Disadvantaged people were more likely than the better-off to be exposed to SHS at home.