Prevalence of Secondhand Smoke and Its Associated Factors Among Pregnant Women Attending Antenatal Care at a Hospital in Yangon Region, Myanmar

Smokers are not the only ones who suffer the effects of tobacco; those around them are also harmed, particularly vulnerable groups such as pregnant women. This study aimed to describe the prevalence of secondhand smoke (SHS) among pregnant women and the factors associated with SHS exposure. This study was a cross-sectional descriptive study conducted at Central Women's Hospital in the Yangon Region in 2022. The prevalence of SHS exposure was described, and multivariate analyses were conducted to determine the associated factors. Out of 407 participants, the prevalence of SHS exposure was 65.4%. Education level, religion, smoking rules at home, visiting public places, and avoidance of SHS during pregnancy were significantly associated with SHS exposure. The findings highlighted the need for community guidance programs, policies, and interventions to establish smoke-free environments. It is also important to conduct behavioral interventions for smokers, especially to avoid SHS for pregnant women.

Effectiveness of Smoking Prevention Programs on the Knowledge, Attitudes, and Anti-Smoking Exposure Self-Efficacy among Non-Smoking Rural Seventh-Grade Students in Taiwan

The disproportionate smoking prevalence among adolescents in rural Taiwan may be attributed to insufficient anti-smoking education. Increasing access to such education may help reduce initiation and promote smoking cessation in adolescents, particularly in rural areas. However, effects of these programs require verification. This study determined the effectiveness of a school-based prevention program in enhancing knowledge, attitudes, and anti-smoking exposure self-efficacy among seventh-grade non-smoking students. A quasi-experimental design with convenience sampling was employed, where participants included seventh graders from two junior high schools who completed a questionnaire 1−2 weeks before and after the intervention. Furthermore, the intervention group received four smoking and secondhand smoke (SHS) prevention classes, whereas the control group engaged in scheduled school activities. Knowledge on smoking (B = 4.38, p < 0.001) and SHS (B = 2.35, p < 0.001) were significantly greater in the intervention group. Moreover, the groups differed significantly in avoiding SHS exposure (B = 3.03, p = 0.031). Intervention modifications may be necessary to enhance the program’s effect on smoking exposure-related attitudes and self-efficacy. Additionally, cultural and other aspects (or “urban-rural gap”) might influence these results. Future randomized controlled trials should compare urban to rural adolescents, use longitudinal designs, and assess smoking initiation or cessation.

Urinary biomarkers for secondhand smoke and heated tobacco products exposure

Concerns have recently grown about the health effects of secondhand smoke exposure and heated tobacco products. The analysis of tobacco smoke biomarkers is critical to assess the health effects of tobacco smoke exposure. For this purpose, the simultaneous determinations of exposure markers and health effect markers would provide a better evaluation of smoke exposure. In this study, nicotine metabolites (nicotine, cotinine, trans-3'-hydroxycotinine) and 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol in urine were analyzed as exposure markers. The DNA damage markers, 7-methylguanine and 8-hydroxy-2'-deoxyguanosine, were simultaneously measured as health effect markers. The results revealed significant levels of urinary nicotine metabolites and 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol in the subjects exposed to secondhand smoke and heated tobacco products. In addition, the urinary levels of 7-methylguanine and 8-hydroxy-2'-deoxyguanosine tended to be high for secondhand smoke and heated tobacco products exposures, as compared to those of non-smokers. These biomarkers will be useful for evaluating tobacco smoke exposure.

The Negative Impact of Parental Smoking on Adolescents' Health-Promoting Behaviors: A Cross-Sectional Study

The literature has indicated that adolescents’ exposure to secondhand smoke (SHS) and having smoking parents were positively associated with current tobacco smoking. Few studies have explored the association between parental smoking and adolescent’s health-promoting behaviors. This study aimed to examine the prevalence of SHS and the relationship between parental smoking at home and adolescent’s health-promoting behaviors in rural areas. Methods: A school-based and cross-sectional study was conducted from March to December 2019 in western coastal Yunlin County, Taiwan. A total of 1227 adolescents, including 51% boys, anonymously participated in this study. Three parental smoking situations and eight questions of adolescents’ habits extracted from previous studies were applied. A linear regression model was used to analyze the factors associated with adopting health-promoting behaviors. Results: More than half (67.7%) of adolescents experienced parental smoking at home, 90.2% reported their family smoked around them, and 48.8% of participants “sometimes” or “never” avoided SHS. Many participants showed a low frequency of water (49.6%), vegetable (49.1%), and fruit (63.2%) intake, using dental floss (84.7%), and regular exercise (60.6%). The determinants of adolescents’ health-promoting scores were highly associated with avoidance of SHS, less associated with parental smoking, and parents smoking at home and around adolescents. Conclusion: The findings showed that in the rural area, a high prevalence of parental smoking at home and parental smoking around adolescents was noted. It is an important issue that parental smoking was negatively associated with adolescent’s health-promoting behaviors.

Objective secondhand smoke exposure in chronic obstructive pulmonary disease patients without active smoking: the U.S. National Health and Nutrition Examination Survey (NHANES) 2007-2012

Background

Secondhand smoke (SHS) may be related to worse outcomes in chronic obstructive pulmonary disease (COPD), but the reported SHS prevalence in different studies varied from 27% to 65% and the effects of SHS are still questionable among these patients. The study aims were to estimate the objective SHS prevalence and explore the SHS impact on outcomes among COPD patients without active smoking.

Methods

A cross-sectional design combined with longitudinal death outcome. We selected COPD patients over 40 years old based on the spirometry from National Health and Nutrition Examination Survey (2007–2012), and used the tobacco-specific biomarkers [cotinine and 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanonol] to determine exposure statuses (active smoking, SHS exposure, or no smoke exposure). Then we estimated the short-term (past 2–4 days) and medium-term (past 6–12 weeks) SHS prevalence among 334 patients without active smoking. Weighted multiple regressions were performed to assess the associations between medium-term SHS exposure and outcomes (symptoms, health status, medical institution visits, and death).

Results

Among the patients without active smoking, the objective prevalence rates of short-term and medium-term SHS were 66.65% [95% confidence interval (CI), 59.63–73.67%] and 34.91% (95% CI, 28.86%–40.96%), respectively. Medium-term SHS exposure showed a significant effect (odds ratio, 3.57; 95% CI, 1.22–10.40) on more chronic coughing after adjusting for the covariates and indicated a trend of unadjusted increasing death risk (log-rank test, P=0.01).

Conclusions

Among COPD patients without active smoking, both short-term and medium-term SHS exposure are prevalent. Chronic cough may be the most susceptible patient-centred outcome related to medium-term SHS exposure. The crude longitudinal trend of elevated death risk associated with medium-term SHS exposure deserves further study.

Feasibility of Measuring Tobacco Smoke Air Pollution in Homes: Report from a Pilot Study

Tobacco smoke air pollution (TSAP) measurement may persuade parents to adopt smoke-free homes and thereby reduce harm to children from tobacco smoke in the home. In a pilot study involving 29 smoking families, a Sidepak was used to continuously monitor home PM(2.5) during an 8-h period, Sidepak and/or Dylos monitors provided real-time feedback, and passive nicotine monitors were used to measure home air nicotine for one week. Feedback was provided to participants in the context of motivational interviews. Home PM(2.5) levels recorded by continuous monitoring were not well-accepted by participants because of the noise level. Also, graphs from continuous monitoring showed unexplained peaks, often associated with sources unrelated to indoor smoking, such as cooking, construction, or outdoor sources. This hampered delivery of a persuasive message about the relationship between home smoking and TSAP. By contrast, immediate real-time PM(2.5) feedback (with Sidepak or Dylos monitor) was feasible and provided unambiguous information; the Dylos had the additional advantages of being more economical and quieter. Air nicotine sampling was complicated by the time-lag for feedback and questions regarding shelf-life. Improvement in the science of TSAP measurement in the home environment is needed to encourage and help maintain smoke-free homes and protect vulnerable children. Recent advances in the use of mobile devices for real-time feedback are promising and warrant further development, as do accurate methods for real-time air nicotine air monitoring.

Environmental secondhand smoke exposure and policy assessment at five venues in Zhejiang Province, China

The objective of this study was to assess environmental secondhand smoke exposure and tobacco control policy at 5 venues. A cross-sectional study was conducted involving 134 settings and 2727 adults in Zhejiang, China. The results show that the proportions of venues that had complete smoking ban were as follows: health administrative organizations (71.9%), hospitals (70.0%), schools (66.7%), public transportation vehicles (24.0%), and government agencies (11.8%). The proportions of venues where smoking was noticed were as follows: public transportation vehicles (88.0%), government agencies (47.1%), hospitals (46.7%), health administrative organizations (40.6%), and schools (30.0%). Venues with completely indoor smoking ban were 5 times more likely to be smoke-free at the time of survey than other venues without smoking ban (odds ratio = 5.39, 95% confidence interval = 1.92-15.14). It indicated that implementation of indoor smoking ban can reduce indoor secondhand smoke exposure.

Tobacco smoke exposure and levels of urinary metals in the U.S. youth and adult population: the National Health and Nutrition Examination Survey (NHANES) 1999-2004

We assessed 12 urine metals in tobacco smoke-exposed and not exposed National Health and Nutrition Examination Survey participants. Our analysis included age, race/ethnicity, and poverty status. Gender and racial/ethnic differences in cadmium and lead and creatinine-adjusted and unadjusted data for group comparisons are presented. Smokers’ had higher cadmium, lead, antimony, and barium levels than nonsmokers. Highest lead levels were in the youngest subjects. Lead levels among adults with high second-hand smoke exposure equaled smokers. Older smokers had cadmium levels signaling the potential for cadmium-related toxicity. Given the potential toxicity of metals, our findings complement existing research on exposure to chemicals in tobacco smoke.

Who is exposed to secondhand smoke? Self-reported and serum cotinine measured exposure in the U.S., 1999-2006

This study presents self-reported and serum cotinine measures of exposure to secondhand smoke (SHS) for nonsmoking children, adolescents, and adults. Estimates are disaggregated by time periods and sociodemographic characteristics based on analyses of the 1999-2006 National Health and Nutrition Examination Survey. Self-reported exposure rates are found to be highest for children, followed by adolescents and adults. Important differences in exposure are found by socioeconomic characteristics. Using serum cotinine to measure exposure yields much higher prevalence rates than self-reports. Rates of SHS exposure remain high, but cotinine levels are declining for most groups.