Tobacco exposure and alcohol drinking prevalence and associations with hypertension in rural southwest China: A cross-sectional study.

INTRODUCTION: This study examined the prevalence of tobacco exposure and drinking and ascertained the relationships between tobacco exposure, alcohol drinking, concurrent smoking and drinking, and hypertension in rural southwestern China. METHODS: Data were collected from a cross-sectional health interview and examination survey, which included 7572 adults aged ≥35 years, in rural China. Participant demographic characteristics, smoking habits, exposure to secondhand smoke (SHS), and alcohol drinking habits were obtained using a standard questionnaire. Blood pressure (BP), height, weight, and waist circumference were measured for each participant. RESULTS: The overall prevalence of smoking, SHS exposure, drinking, concurrent smoking and drinking, concurrent exposure to SHS and drinking, and hypertension was 37.7%, 27.4%, 16.2%, 12.6%, 1.6%, and 41.3%, respectively. Males had a significantly higher prevalence of smoking (74.1% vs 2.2%, p<0.01), drinking (31.1% vs 1.7%, p<0.01), and concurrent smoking and drinking than females (25.3% vs 0.3%, p<0.01). However, females had a higher prevalence of SHS exposure than males (30.2% vs 20.6%, p<0.01). Ethnic minorities had a higher prevalence of SHS exposure, drinking, and concurrent smoking and drinking, than Han participants (p<0.01). Participants with a higher education level had a higher prevalence of smoking, drinking, and concurrent smoking and drinking than their counterparts (p<0.01). In contrast, participants with a lower education level had a higher prevalence of SHS exposure than their counterparts (p<0.01). Multivariate logistic regression analysis found that smokers (AOR=1.31; 95% CI: 1.13-1.51), individuals exposed to SHS (AOR=1.24; 95% CI: 1.11-1.43), drinkers (AOR=1.31; 95%: CI: 1.15-1.50), and concurrent smokers and drinkers (AOR=1.45; 95% CI: 1.25-1.67) all had a higher probability of having hypertension (p<0.01). Additionally, concurrent smoking and drinking had the strongest association with the prevalence of hypertension (AOR=1.45; 95% CI: 1.25-1.67; p<0.01). CONCLUSIONS: Socioeconomic factors play an important role in influencing the prevalence of smoking, exposure to SHS, and drinking in rural southwest China. Interventions to prevent and reduce hypertension should, in particular, focus on smokers, individuals exposed to SHS, drinkers, and, in particular, concurrent smokers and drinkers.

[Current status and intention to change indoor smoking rules by enforcing smoke-free legislation in Japan].

Objective　In Japan, the revised Health Promotion Act and the Tokyo Metropolitan Ordinance to Prevent Exposure to Second-hand Smoke have been in place since April 1, 2020. However, regional differences in the prohibition of smoking in restaurants have raised concerns that some restaurants are not regulated by the smoke-free legislation. In addition, outdoor smoking rules have been in place in municipalities prior to the smoke-free legislation, so smoking outside restaurants may occur, and this may obstruct progress in the prohibition of smoking. In this study, we examined the indoor smoking rules before and after the enforcement of the smoke-free legislation, as well as what influenced the changes in these rules.Methods　We conducted a self-administered questionnaire survey in 6,000 restaurants in Tokyo, Osaka, and Aomori prefectures from February to March 2020. We examined the indoor smoking rules before and after the enforcement of the smoke-free legislation and calculated the proportion of change by categorizing the indoor smoking rules into "smoking prohibited," "smoking permitted in separate area," and "smoking permitted."Results　Of the 879 restaurants that responded, 603 indicated that they were not regulated by the smoke-free legislations. The percentage of restaurants that switched from "smoking permitted in separate area" and "smoking permitted" to "smoking prohibited" was 5.2% (3/58) in Tokyo, 23.1% (31/134) in Osaka, and 17.2% (57/326) in Aomori. In addition, when we included restaurants that were already "smoking prohibited" before the enforcement and did not plan to change the rules after the enforcement, the percentage was 46.6% (55/118) in Tokyo, 49.6% (113/228) in Osaka, and 48.6% (125/257) in Aomori.Conclusion　In total, 17.6% (91/518) of the restaurants that were not regulated by the smoke-free legislations would plan to change their indoor smoking rules from "smoking permitted in separate area" and "smoking permitted" to "smoking prohibited." There is a concern regarding the reduction in customers and sales due to the prohibition of smoking, and the existence of outdoor smoking rules prior to the smoke-free legislation may obstruct progress in the prohibition of smoking. It will be important to examine changes in the number of customers and sales resulting from changes to the indoor smoking rules to deal with smokers when smoking is prohibited, and to improve environments set as public smoking spaces in Japan.

Prevalence and socioeconomic inequalities in indoor exposure to secondhand smoke at home among children 0-5years in Ghana.

BACKGROUND: Daily exposure to secondhand smoke (ESHS) among children can be fatal for their health. With increasing prevalence of smoking in low-income countries, particularly among low socioeconomic status (SES) groups amidst poor tobacco legislations, children in these countries can be at risk of ESHS at home. This study investigated the prevalence and socioeconomic inequalities in indoor daily of ESHS at home among children aged 0-5years in Ghana. METHODS: Population-based data collected through interviews in 2014 in 4616 households, 98.5% response rate, were used. Logistic regression analyses were used to investigate socioeconomic inequalities in daily ESHS among children at home. RESULTS: One out of every ten children was exposed to daily secondhand smoke at home. The proportion of children's ESHS by wealth quintile ranges from richest (6.5%) to poorest (46.3%). Children of male-headed households were at higher risk of daily ESHS (OR 1.71, CI 1.27-2.31). A child living in a household where the head had no formal education had four folds the risk of daily ESHS compared with another in a household headed by a person with higher educational attainment. In rural setting, a child living in a poorest household (measured by wealth index) had more than two folds the risk of daily ESHS compared with another in the richest household. Correspondingly, a child living in the poorest household in an urban area had 8 times (OR 8.05, CI 4.03-16.08) the risk of daily ESHS compared with the counterpart in the richest household. CONCLUSIONS: Children from socioeconomically disadvantaged and male-headed households both in rural and urban areas were at higher risk of daily ESHS at homes. However, children in the poorest households in urban areas had the highest concentration of ESHS among socioeconomically disadvantaged children. Interventions to end smoking indoors at home is urgently needed to protect children from its harmful effects.

Smoke-free homes among single-parent families: Differences associated with parental race/ethnicity and smoking behaviors.

We assessed differences in the rates of smoke-free homes among single-parent households with regard to parental race/ethnicity and smoking status. We identified two cohorts representative of the U.S. single-parent households with underage children (children under the age of 18) based on the Tobacco Use Supplement to the Current Population Survey: 2010-11 (n = 6474) and 2014-15 (n = 6114). The interviews were conducted by phone and in-person. Statistical analysis was performed in 2017. The overall rate of smoke-free homes was 82% in 2010-11 and 86% in 2014-15. The rate of a smoke-free home was highest for Non-Hispanic (NH) Asian (94%) and Hispanic (92%) parents and lowest for NH Multiracial (77% in 2010-11 and 82% in 2014-15) in both survey periods. However, 2014-15 model-based comparisons relative to NH Whites indicated only one significant difference: the rate was lower for NH Blacks (OR = 0.46, 99% CI = 0.32:0.66). The smoke-free homes were least prevalent among daily smokers, followed by occasional smokers, followed by former smokers, and most prevalent among never smokers in each survey period. The 2010-11 and 2014-15 rates were 45% and 54% for daily, 64% and 72% for occasional, 89% and 91% for former, and 93% and 94% for never smokers. The gap in the rates of smoke-free homes for diverse parental racial/ethnic groups observed in 2010-11 decreased by 2014-15. While smoke-free homes became more prevalent in 2014-15, the rates remain drastically different among families with different parental smoking behaviors. Exposure to secondhand smoke at home remains common among single-parent households where the parent smokes.

National estimates and correlates of secondhand smoke exposure in US cancer survivors.

PURPOSE: Cancer survivors comprise a vulnerable population for exposure to secondhand smoke (SHS). This study examined and compared the prevalence, time trends, and predictors of SHS exposure between nonsmoking adult cancer survivors and nonsmoking adults without cancer history (control group). METHODS: Data were obtained from the 2001-2012 National Health and Nutrition Examination Survey (survivors: n = 2168; controls: n = 19,436). All adults ≥20 years of age who reported not smoking and had a serum cotinine level of 0.015-10 ng/mL were included in the study. Prevalence and 95% confidence intervals, weighted linear regression of prevalence on year for trend analysis, and logistic regression analysis were performed with adjustments made for the complex survey design. RESULTS: Survivors were significantly less likely to be exposed to SHS (65.4 vs. 70.6%, respectively). Exposure over time decreased by 16% (from 67.1% in 2001 to 53.3% in 2012) among survivors and by 24% (from 72% in 2001 to 56% in 2012) among controls. Exposed survivors were more likely to be young (OR = 0.98 [95% CI = 0.97-0.99]), non-Hispanic Black (2.51 [1.49-4.26]), with some college education (2.47 [1.56-3.93]), a high school education (2.72 [1.76-4.19]), less than a high school education (2.49 [1.58-3.91]), and poor (1.80 [1.10-2.96]). CONCLUSION: Considerable numbers of US cancer survivors are exposed to SHS and exposure disparities persist. IMPLICATIONS FOR CANCER SURVIVORS: More efforts are needed to develop and test population policies and clinical-based interventions targeting cancer survivors.

The economic burden of smoking and secondhand smoke exposure in rural South-West China.

OBJECTIVE: To estimate the direct and indirect costs of chronic diseases attributed to smoking and exposure to secondhand smoke (SHS) in a given year (2011) in rural southwest China. METHODS: A prevalence-based, disease-specific attributable-risk approach was used to estimate the economic burden of chronic diseases attributable to both smoking and exposure to secondhand smoke (SHS). A cross-sectional questionnaire survey of 17 158 consenting adults aged ≥18 years was used to derive prevalence of smoking and exposure to SHS, as well as direct and indirect costs of chronic diseases. RESULTS: In the study population, the prevalence rates of smoking and exposure to SHS are 73.1 and 38.2% for males and 1.4 and 43.4% for females, respectively. The total costs of illness are $25.85 million for COPD, $18.80 million for asthma, $37.25 million for CHD, $17.91 million for stroke, $264.35 million for hypertension and $17.11 million for peptic ulcer. The estimated costs attributable to smoking and exposure to SHS are $95.51 million and $79.35 million, accounting for 7.15 and 5.94% of local healthcare costs, respectively. Of the total costs of tobacco, direct costs and indirect costs are $94.66 million and $0.85 million for smoking, and $78.22 million and $1.36 million for exposure to SHS. Smoking contributes more cost of illness than exposure to SHS in men, whereas exposure to SHS contributes more cost of illness than smoking in women. CONCLUSIONS: Smoking and exposure to SHS produce substantial economic burden as well as have a considerable public health impact in rural southwest China.