RESUMO
The Tobacco Harm Prevention Law has been promulgated in 2012 in Vietnam, prohibiting smoking in public places such as restaurants except for designated smoking areas. However, currently, evidence about Vietnamese customers’ and restaurants’ compliance with the Law is constrained. This study aimed to explore customers’ perceptions; attitudes and practices towards the compliance with tobacco control regulations in the restaurants in Hanoi, Vietnam. A cross-sectional study was performed in October 2015 with 1746 customers in 176 communes in Hanoi, Vietnam. Data about customers’ perceptions on how restaurants comply with the smoking control law and whether customers smoking actively or experienced SHS in restaurants in the last 30 days were collected. Multivariable mixed effects logistic regression model was used to determine the factors related to smoking in the restaurant. Most customers were aware of the law on Tobacco Harm Prevention (79%; n = 1320) and regulations that prohibited smoking in restaurants (78.4%; n = 1137). While 75.8% (n = 1285) of customers perceived that they did not see or rarely saw no-smoking signs, 17.7% (n = 481) of customers reported that they frequently saw direct marketing of tobacco in visited restaurants. About one-fourth of customers witnessed that the staff reminded customers not to smoke inside restaurants (28.8%; n = 313), and 65% (n = 1135) sometimes or always were exposed to secondhand smoke in their visited restaurants. People who were female (OR = 0.02, 95% CI = 0.01â»0.05) were less likely to report their smoking in the restaurant than their counterparts. Those having higher age (OR = 1.03; 95% CI = 1.01â»1.06), high school education (OR = 2.14, 95% CI = 1.07â»4.26), being office workers (OR = 3.24, 95% CI = 1.33â»7.92) or unemployed (OR = 4.45; 95% CI = 1.09â»18.15) had a higher likelihood of reporting to be restaurant smokers than those having lower high education or students, respectively. This study highlighted a low level of perceived compliance with the smoke-free law in Vietnamese restaurants. Improving the monitoring systems for the enforcement of the smoking law in restaurants should be prioritized; restaurant owners should implement 100% smoke-free environments as following the best practice towards the tobacco control law along with educational campaigns to promote the awareness of restaurant owners and customers about the tobacco control law.
Assuntos
Percepção , Restaurantes/normas , Fumar/legislação & jurisprudência , Adulto , Cidades , Feminino , Conhecimentos, Atitudes e Prática em Saúde , Humanos , Masculino , Pessoa de Meia-Idade , Nicotiana , Poluição por Fumaça de Tabaco/legislação & jurisprudência , Vietnã , Adulto JovemRESUMO
INTRODUCTION: The expansion of methadone maintenance treatment (MMT) program requires more data about the factors affecting the effectiveness of treatment, especially behavioral data such as smoking and alcohol use among patients. This study aimed to examine the prevalence of tobacco and alcohol consumption and identify related factors among MMT patients in the Vietnamese rural mountainside. METHODS: We interviewed 241 MMT patients in two clinics in Tuyen Quang, a mountainous province in Vietnam. Patients were asked to report the smoking status (current smoker or not), nicotine dependence (by Fagerström test for nicotine dependence - FTND) and alcohol use (by using the Alcohol Use Disorders Identification Test - AUDIT-C). EuroQol-5 dimensions-5 levels (EQ-5D-5L) and EQ-Visual analogue scale (EQ-VAS) were employed to measure health-related quality of life. Multivariate logistic and Tobit regressions were used to identify the associated factors. RESULTS: The majority of respondents were current smokers (75.7%) and a low proportion were hazardous drinkers (18.3%). People receiving treatment in a rural clinic (OR = 0.45; 95%CI = 0.22-0.92) and had problems in usual activities (OR = 0.20; 95%CI = 0.06-0.70) were less likely to be smokers. Q-VAS score (Coef. = 0.03; 95%CI = 0.02-0.05) and having problems in mobility (Coef. = 0.72; 95%CI = 0.03-1.42) was found to be associated with the increase of nicotine dependence. In terms of alcohol drinking, people with other jobs were more likely to drink hazardously compared to unemployed patients (OR = 2.86; 95%CI = 1.20-6.82). Similarly, patients having higher duration of MMT had higher likelihood of being hazardous drinkers (OR = 1.07; 95%CI = 1.01-1.13). CONCLUSIONS: This study highlights the low rate of alcohol abusers but a considerably high proportion of current smokers among MMT patients in the rural mountainside area. Alcohol and tobacco counseling programs combined with social and family support also play an essential role in alcohol and tobacco control. In addition, implementing mass community-based behavioral change campaigns to reduce drug addiction-related stigmatization should also be prioritized.
RESUMO
Introduction: Although e-health interventions are widely implemented as a supportive measure to smoking cessation, there is a lack of evidence in the feasibility of its application among Vietnamese youths, which is considered to be one of the most frequent internet using populations. This study assessed the quitting attempts among smokers and their preference and willingness to pay for smartphone-based cessation supporting applications in a sample of active internet users approached. Methods: A total of 1082 participants were recruited for the online-based survey from August to October 2015 in Vietnam. Information on sociodemographic characteristics, health information seeking behaviors on the internet, smoking status, quitting attempts and willingness to pay for smartphone-based cessation supporting applications were collected. Multivariate logistic regression was used to determine the associated factors with current smoking and willingness to pay for the smoking cessation application. Results: About 11% of participants were current smokers while 73.4% had attempted to quit smoking. Only 26.8% of the individuals indicated that they were willing to utilize a smartphone application to assist them in quitting. Participants who were male, had partners/spouse and lived at other places were more likely to smoke cigarette. Meanwhile, people who spent 50-70% of their online time to read health information were less likely to smoke. Results also show that living with family and never sharing health information on the internet were negatively associated with a participant's willingness to pay for the smartphone application. Meanwhile, people who highly trusted health information were more likely to be willing to pay for the application. Conclusions: This prevalence of smoking and associated factors can provide potential indicators for creating several public health interventions in the new environment with the increasing development of information technology. This study implies that in order to expand the coverage of smoking cessation interventions, we recommend the integration of e-health interventions with clinical- or telephone-based conventional models by providing smartphone applications and information on the internet from reliable sources.