Differences In Smoking Prevalence Research Articles

Examining Smoking Prevalence Disparities in Virginia Counties by Rurality, Appalachian Status, and Social Vulnerability, 2011-2019.

Objectives. To estimate county-level cigarette smoking prevalence in Virginia and examine cigarette use disparities by rurality, Appalachian status, and county-level social vulnerability. Methods. We used 2011-2019 Virginia Behavioral Risk Factor Surveillance System proprietary data with geographical information to estimate county-level cigarette smoking prevalence using small area estimation. We used the Centers for Disease Control and Prevention's social vulnerability index to quantify social vulnerability. We used the 2-sample statistical t test to determine the differences in cigarette smoking prevalence and social vulnerability between counties by rurality and Appalachian status. Results. The absolute difference in smoking prevalence was 6.16 percentage points higher in rural versus urban counties and 7.52 percentage points higher in Appalachian versus non-Appalachian counties in Virginia (P < .001). Adjusting for county characteristics, a higher social vulnerability index is associated with increased cigarette use. Rural Appalachian counties had 7.41% higher cigarette use rates than did urban non-Appalachian areas. Tobacco agriculture and a shortage of health care providers were significantly associated with higher cigarette use prevalence. Conclusions. Rural Appalachia and socially vulnerable counties in Virginia have alarmingly high rates of cigarette use. Implementation of targeted intervention strategies could reduce cigarette use, ultimately reducing tobacco-related health disparities. (Am J Public Health. 2023;113(7):811-814. https://doi.org/10.2105/AJPH.2023.307298).

The role of smoking in explaining racial/ethnic disparities in bladder cancer incidence in the United States.

Smoking is the most important modifiable risk factor for bladder cancer (BC), with the odds of developing BC among current and former smokers 3 times higher than never-smokers. We hypothesized that the observed disparities in BC incidence may be partially attributable to differences in smoking prevalence. We examined the attributable risk of BC related to smoking according to race/ethnicity and sex. We used data from SEER and the Behavioral Risk Factor Surveillance System to estimate BC cases that would have been prevented if current and former smokers had never smoked to calculate the Population Attributable Fractions, stratified by sex and race/ethnicity. SDs of BC incidences across racial/ethnic groups before and after smoking elimination were calculated to estimate disparities. A total of 25,747 cases of BC were analyzed from 21 registries in 2018. By removing smoking, 10,176 cases (40%) would have been eliminated. Smoking was associated with a higher proportion of BC cases among males (42%) than females (36%). Across racial/ethnic groups, smoking contributed to the highest proportion of BC cases among American Indian/Alaska Natives (AI/AN) (43%) and Whites (36%) for females, and highest among AI/ANs (47%) and Blacks (44%) for males. Removing smoking, the SD of BC incidence across racial/ethnic groups was reduced for females (39%) and males (44%). Approximately 40% of cases of BC in the United States are attributable to smoking, with the highest proportion in AI/ANs for both males and females, and the lowest in Hispanics for females and Asians and Pacific Islanders for males. Smoking contributes to almost half of racial/ethnic disparities in BC incidence in the United States. Accordingly, health policy to encourage smoking cessation among racial-ethnic minorities may substantially reduce inequalities in BC incidence.

Inequality in smoking and related risk factors for smoking in expectant mothers - a nationwide Danish register-based study.

Foetuses exposed to smoking during pregnancy are disadvantaged due to numerous adverse obstetric outcomes. This study aimed to examine 1) inequality in maternal smoking between subgroups of pregnant women and 2) significant risk factors of maternal smoking. Data were collected from Danish registries. Trends in maternal smoking within each study period, T1 (2000-2002) and T2 (2014-2016), were investigated by Poisson regression calculating prevalence proportion ratios, and trends between study periods were studied by adding an interaction term. The significance of risk factors for maternal smoking (low age, low education, living alone and having a moderate/severe mental health condition) were studied by interaction analysis on the additive scale. The prevalence of maternal smoking decreased from 21% in 2000 to 7% in 2016. Decreases were found in all subgroups of maternal age, cohabitation status, educational level and mental health condition. However, large differences in smoking prevalence between subgroups were found, and inequality in maternal smoking increased from 2000 to 2016. The probability of maternal smoking increased with the addition of risk factors, and positive additive interactions were found for almost all combinations of multiple risk factors. Our results provide knowledge on risk factors and increasing levels of inequality in maternal smoking which points to a need for targeted interventions in relation to maternal smoking for subgroups of pregnant women in future smoking cessation programmes and in antenatal care.

Patterns of Birth Cohort‒Specific Smoking Histories by Race and Ethnicity in the U.S.

U.S. smoking prevalence varies greatly by race/ethnicity. However, little is known about how smoking initiation, cessation, and intensity vary by birth cohort and race/ethnicity. Adult smoking data were obtained from the 1978-2018 National Health Interview Surveys. Age‒period‒cohort models with constrained natural splines were developed to estimate historical smoking patterns among non-Hispanic White, non-Hispanic Black, Hispanic, non-Hispanic Asian and Pacific Islander, and non-Hispanic American Indian and Alaskan Native individuals. Annual smoking prevalence and probabilities of smoking initiation, cessation, and intensity by age, year, gender, and race/ethnicity were estimated for the 1900 to 2000 birth cohorts. Analysis was conducted in 2020-2021. Smoking initiation probabilities were highest for the American Indian and Alaskan Native population, second highest among the non-Hispanic White population, and lowest among Asian and Pacific Islander and Hispanic populations across birth cohorts. Historically, initiation probabilities among non-Hispanic Black populations were comparable with those among non-Hispanic White populations but have decreased since the 1970 birth cohort. Cessation probabilities were lowest among American Indian and Alaskan Native and non-Hispanic Black populations and highest among non-Hispanic White and Asian and Pacific Islander populations across cohorts and ages. Initiation and cessation probabilities produce observed patterns of smoking where prevalence among American Indian and Alaskan Native populations is highest across all ages and cohorts. Across cohorts, smoking prevalence among non-Hispanic Black populations, particularly males, is lower than among non-Hispanic White populations at younger ages but higher at older ages. There are important and persistent racial/ethnic differences in smoking prevalence, initiation, cessation, and intensity across U.S. birth cohorts. Targeted interventions should address widening smoking disparities by race/ethnicity, particularly for American Indian and Alaskan Native and non-Hispanic Black populations.

The contribution of smoking to differences in cardiovascular disease incidence between men and women across six ethnic groups in Amsterdam, the Netherlands: The HELIUS study

It is unclear to what extent differences in cardiovascular disease (CVD) risk between men and women are explained by differences in smoking, and whether this contribution to risk is consistent across ethnic groups. In this prospective study, we determined the contribution of smoking to differences in CVD incidence between men and women, also in various ethnic groups. We linked baseline data of 18,058 participants of six ethnic groups from the HELIUS study (Amsterdam, the Netherlands) to CVD incidence data, based on hospital admission and death records from Statistics Netherlands (2013–2019). The contribution of smoking to CVD incidence, as estimated by the population attributable fraction, was higher in men than in women, overall (24.1% versus 15.6%) and across most ethnic groups. Among Dutch participants, however, the contribution of smoking was higher among women (21.0%) than men (16.2%). Using Cox regression analyses, we observed that differences in smoking prevalence explained 22.0% of the overall lower hazard for CVD in women compared to men. Smoking contributed minimally to the lower hazards for CVD in women among participants of Dutch (0%), Ghanaian (4.9%) and Moroccan origin (0%), but explained 28.6% and 48.6% of the lower hazards in women in South-Asian Surinamese and African Surinamese groups, respectively. While smoking prevention and cessation may lead to lower CVD incidence in most groups of men and women, it may not substantially reduce disparities in CVD risk between men and women in most ethnic groups.

Modeling cigarette smoking disparities between people with and without serious psychological distress in the US, 1997–2100

Cigarette smoking rates are significantly higher among people with serious psychological distress (SPD) compared to the general population. US simulation models that project future smoking disparities by SPD status could inform policy interventions, but have not been developed.We calibrated two compartmental models to the National Health Interview Survey 1997–2018 for populations with and without SPD, calculating smoking prevalence, mortality, and life-years lost by SPD status under different scenarios from 2023 to 2100.Under the Status Quo, smoking prevalence among women with SPD falls from 27.0% in 2023 to 10.7% in 2100 (men: 30.1% to 12.2%). For women without SPD, it declines from 9.4% to 3.1% (men: 11.5% to 4.0%). The absolute difference in smoking prevalence between those with and without SPD decreases over time, whereas the relative smoking prevalence ratio increases. From 2023 to 2100, 609,000 premature smoking-attributable deaths would occur in the SPD population, with 8 million life-years lost. Under an ideal tobacco control scenario for people with SPD, in which all smokers quit in 2023 and no new smoking initiation occurs thereafter, up to 386,000 of these premature deaths could be averted with 4.9 million life-years gained. Preventing smoking initiation could avert up to 18% of these deaths, while improving smoking cessation could avert up to 82%.Smoking-related disparities for people with SPD will persist unless a shift in tobacco control substantially improves cessation and prevents initiation in this subpopulation. Smoking disparities by SPD may widen in relative but narrow in absolute terms, so both perspectives should be evaluated.

Do demographic and socioeconomic characteristics underpin differences in youth smoking initiation across Canadian provinces? Evidence from the Canadian Community Health Survey (2015-2018).

Youth initiation may drive differences in smoking prevalence across Canadian provinces. Provincial differences in initiation relate to tobacco control strategies and public health funding, but have also been attributed to population characteristics. We test this hypothesis by examining the extent to which seven characteristics-immigration, language, family structure, education, income, home ownership and at-school status-explain differences in initiation across provinces. We used data from 16 897 youth aged 12 to 17 years in the Canadian Community Health Survey collected from 2015 to 2018. To examine the proportion of provincial differences explained by population characteristics, we compared average marginal effects (AMEs) from partially and fully adjusted models regressing "having ever initiated" on province and other characteristics. We also tested interactions to examine differences in the association between population characteristics and initiation across provinces. Initiation varied from 4% in British Columbia to 10% in Quebec. Being born in Canada, speaking French, not living in a two-parent household, being in the lowest household income quintile, having parents without postsecondary education, living in rented accommodation and not being in school were each associated with initiation. Taking these results into consideration, the AME of residing in another province compared with Quebec was attenuated by between 3% and 9%. Family structure and household income were more strongly associated with initiation in the Atlantic region and Manitoba, but not in Quebec. Differences in initiation between Quebec and other provinces are unlikely to be substantially explained by their demographic or socioeconomic composition. Reprioritizing tobacco control and public health funding are likely key in attaining the "tobacco endgame" across provinces.

Smoking Behaviors Among Black and Hispanic Cancer Patients: A Systematic Review of the Literature.

Smoking is the leading cause of preventable disease and death in the United States. The risk of smoking poses an even greater threat for racial/ethnic minorities, particularly Black and Hispanic cancer patients who face a range of existing disparities in healthcare. Despite these risks for poor health outcomes among this population, little is known about the smoking behaviors of Black and Hispanic cancer patients. The purpose of this review was to understand differences in smoking prevalence, intensity, and cessation between Black, Hispanic, and non-Hispanic White cancer patients and survivors. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach as our framework, we conducted a systematic review of the literature. Our review discusses the methods, population, and implications of 37 included articles. Conclusions reflect the need to establish intentional and systematic measurement of smoking behaviors to best understand the risks of smoking among Black and Hispanic cancer patients.

Gender differences in social environmental changes associated with smoking: a cross-sectional study from Chinese internal migrants

ObjectivesTo identify clues for women’s tobacco control, this study analyses the gender differences in social environmental changes associated with smoking and the interaction between the environment and individuals’ social integration.Design,...

Deadly declines and diversity – understanding the variations in regional Aboriginal and Torres Strait Islander smoking prevalence

Deadly declines and diversity – understanding the variations in regional Aboriginal and Torres Strait Islander smoking prevalence

The 1964 US Surgeon General's report on smoking and health.

The 1964 report of the US Surgeon General on smoking and health made an authoritative case that tobacco smoking was a cause of premature deaths from lung cancer and chronic bronchitis. It justified the practice of drawing causal inferences from epidemiological studies, specified influential criteria for doing so, and made use of an early form of meta-analysis.

The Differential Impact of the 2000 Canadian Graphic Warning Label Policy on Smoking Prevalence by Sex and Education: A Difference-in-Difference-in-Difference Model.

Using a quasiexperimental design, we compared the impact of the 2000 Canadian introduction of graphic warning labels (GWLs) on differences in smoking prevalence by sex and education, to the United States, where no GWLs were introduced. We pooled 1999-2004 data from the Canadian Tobacco Use Monitoring Survey and the U.S. Behavioral Risk Factor Surveillance System. We used a difference-in-difference (DD) model to assess the impact of Canadian policy introduction on smoking prevalence, and a difference-in-difference-in-difference (DDD) model to examine differences in the policy impact by sex and education, comparing Canada (the treatment group) with the United States (the control group). From 1999 to 2004, smoking prevalence decreased from 23.7% to 18.6% in Canada, and from 21.7% to 20.0% in the United States. Results from the DD regression models showed that Canadian respondents reported lower odds of being a current smoker compared to the U.S. respondents following the 2000 introduction of GWLs (OR = 0.84, 95% CI = 0.74-0.94). The DDD model showed that the impact of the Canadian GWLs versus the United States did not differ by sex or education. The 2000 Canadian GWL policy reduced smoking prevalence overall, with similar reductions for males and females and across education levels. The impact of the Canadian GWLs in reducing smoking prevalence did not reduce differences by sex or education. Although beneficial for all smokers, GWLs may not serve to decrease existing disparities, especially those by socioeconomic status. Existing evidence shows that GWL implementation is associated with reductions in smoking prevalence. But there is limited evidence from past evaluation studies on whether the impact of GWLs on smoking prevalence differs by sociodemographic subgroup. Our findings confirm existing studies that the 2000 implementation of GWLs in Canada was significantly associated with an overall reduction in smoking prevalence in Canada compared to the United States. However, our study improves existing evidence by showing that the impact of the Canadian GWLs on smoking prevalence did not differ by sex or education, and thus did not reduce existing smoking disparities by educational levels.

Decomposition and Comparative Analysis of the Prevalence of and Factors Associated With Smoking Between the Rural and Urban Elderly Population in China: A National Cross-Sectional Study.

This study aimed to compare and analyse the differences in smoking prevalence, and knowledge, attitudes, and factors associated with smoking between the rural and urban elderly population in China. In total, 6,966 participants aged 60 and above were included in this study, which assessed their smoking-related knowledge, attitudes, and perceptions toward tobacco control. The Chi-square test and logistic regression model were used for statistical analysis, and the Fairlie model was used for decomposition analysis. The overall prevalence of smoking was 25.6%; the rate was much higher in men than in women (overall: OR = 26.234; urban: OR = 31.260; rural: OR = 23.889). The rate of correct responses to all questions on smoking problems was significantly higher among the urban elderly than the rural elderly. Further, 64.18% of the participants supported printing photos of the health hazards of smoking on the cover of cigarette packs, and the rural elderly were more supportive of this. Moreover, only 36.52% of the participants supported increasing taxation and retail price of cigarettes; the urban elderly showed more support for this. Rules about smoking at home also played an important role, especially for families where smoking was not allowed at home, but with exceptions to the rule; however, this factor was only meaningful in urban families (urban: OR = 0.117). Through the Fairlie decomposition analysis, gender (-1.62%), age (-2.03%), region (13.68%), knowing about e-cigarettes (5.17%), rules about smoking at home (3.95%), and smoking-related knowledge scores (42.85%) were found to be associated with rural-urban disparities. This study focused on the differences in smoking between urban and rural areas in China. Smoking among the urban elderly was significantly less prevalent compared with the rural population. Factors including education, region, and smoking-related knowledge need to be addressed to reduce the gap between urban and rural health hazards in China.

Comparitive Study of Glutathione-S-Transferase Isoenzyme and Vitamin D Levels in Smokers and Non-smokers

Background: In developed countries, cigarette smoking is the leading preventable cause of morbidity and mortality. In the second half of this century, dramatic changes in the prevalence of cigarette smoking in the United States reduced current smoking levels to approximately one quarter of the adult population, reducing gender differences in smoking prevalence and smoking-attributable diseases. Cigarette smoking is a serious risk factor for lung cancer, which is the leading cause of cancer-related deaths in both men and women in the United States and around the world.&#x0D; Aim: Comparative Study of Glutathione-S-Transferase Isoenzyme mu and Vitamin-D Levels in Smokers and Non-Smokers.&#x0D; Materials and Methods: A total of 100 people aged 20 to 55 years old who came to Shalinitai Meghe hospital in Nagpur for a health check-up were chosen for the research. Non-smokers make up the control group, while smokers make up the research group. There are 50 patients in each group. ELISA was used to determine vitamin D status. An enzyme-linked immunosorbent assay was used to detect GST-µ in heparinized whole blood.&#x0D; Results: GST-µ was found to be mostly positive in smokers, and it was also found to be raised in heavy smokers (6.39±3.2) than light smokers (4.56±0.78). GST-µ is positive in light smokers. GST-µ is nearly equal in smokers (5.24±0.95) and heavy smokers relative to others.&#x0D; Conclusion: Quitting smoking for a longer period of time was related to higher vitamin D levels than current smoking. Furthermore, the GST-µ measure used in our research may be used to show differences in cytogenetic damage between smokers who have a genetically defined detoxification enzyme and those who do not.

Preventable causes of cancer in Texas by race/ethnicity: tobacco smoking.

OBJECTIVESTobacco smoking is classified as carcinogenic to humans (International Agency for Research on Cancer Group 1). We aimed to estimate the percentage and number of incident cancer cases diagnosed in Texas in 2015 that were attributable to tobacco smoking, and we examined differences in the proportions of smoking-attributable cancers between the major racial/ethnic subgroups of the population.METHODSWe calculated population-attributable fractions for cancers attributable to tobacco smoking using prevalence data from the Texas Behavioral Risk Factor Surveillance System and relative risks associated with smoking status from pooled analyses of cohort studies or meta-analyses. Cancer incidence data were collected from the Texas Cancer Registry.RESULTSWe estimated that 19,000 excess cancer cases or 18.4% of all cancers diagnosed in 2015 in Texans aged ≥ 25 years were caused by tobacco smoking. Males had a higher overall proportion of cancers attributable to tobacco smoking than females (male, 23.3%, 11,993 excess cases; female, 13.5%, 7,006 cases). Approximately 20% of cancer cases in non-Hispanic Whites and non-Hispanic Blacks were attributable to tobacco smoking compared to 12.8% among Hispanics.CONCLUSIONSDespite ongoing public health campaigns combatting tobacco use, this preventable behavior still contributes significantly to cancer incidence in Texas. Racial/ethnic differences in smoking prevalence and smoking-attributable cancer incidence should be considered when designing cancer prevention programs.

Trends in smoking prevalence by occupations defined in the Japan Standard Occupational Classification: A repeated cross-sectional analysis of the Comprehensive Survey of Living Conditions, 2001-2016

Objectives Few studies have focused on the relationship between smoking habits and occupation in Japan. This study aimed to examine the changes in smoking prevalence by occupation, specifically those occupations defined in the Japan Standard Occupational Classification (JSOC).Methods We analyzed data from the Comprehensive Survey of Living Conditions, a large nationally representative survey conducted in Japan every three years, between 2001 and 2016. Survey participants were asked whether they (1) "never smoked," (2) "smoked daily," (3) "smoked occasionally but not every day," or (4) "used to smoke daily (before, at least one month)." Participants who answered (2) "smoked daily" or (3) "smoked occasionally but not every day" were considered "current smokers." Age-standardized smoking prevalence was computed based on the JSOC (10 categories: administrative and managerial; professional; clerical; sales; services; security; agriculture, forestry, and fishing; transport; manufacturing, construction, mining, carrying, cleaning, and packaging; and unemployment). The analyses were restricted to workers and unemployed men and women aged 25 to 64 years old.Results Between 2001 and 2016, the smoking prevalence (of the entire population aged 25 to 64 years old) decreased from 56.0% (95% confidence interval [95% CI]: 55.8-56.3%) to 38.4% (95% CI: 38.1-38.6%) among men, and from 17.0% (95% CI 16.8-17.2%) to 13.0% (95% CI 12.8-13.1%) among women. In 2016, the smoking prevalence for clerical (the lowest smoking prevalence) and transport workers (the highest smoking prevalence) was 27.9% (95% CI: 27.0-28.8%) and 48.3% (95% CI: 46.8-49.7%), respectively, for men, and 9.4% (95% CI: 9.0-9.7%), and 38.5% (95% CI: 32.6-44.5%), respectively, for women. Between 2001 and 2016, the smoking prevalence for men decreased for all occupations, whereas for women, the smoking prevalence decreased for all occupations except for security and for transport workers. The largest reduction rate of smoking prevalence between 2001 and 2016 for men and for women was observed in clerical workers (-21.0%) and sales workers (-7.2%), respectively. We also found that clerical workers had the lowest smoking prevalence across the 5-year age categories for both sexes, especially the younger age, which resulted in the largest differences in smoking prevalence by occupation among men aged 30 to 34 years old.Conclusion We confirmed that, between 2001 and 2016, the lowest and highest smoking prevalence for both sexes is found among clerical workers and among transport workers, respectively. Although smoking prevalence has declined among working-aged men and women between 2001 and 2016, large differences by occupations consistently exist in Japan. It is necessary to take measures against smoking habits in consideration of their social backgrounds and work environments.

Widening Socioeconomic Inequalities in Smoking in Japan, 2001-2016.

BackgroundJapan is one of the world’s largest tobacco epidemic countries but few studies have focused on socioeconomic inequalities. We aimed to examine whether socioeconomic inequalities in smoking have reduced in Japan in recent times.MethodsWe analyzed data from the Comprehensive Survey of Living Conditions, a large nationally representative survey conducted every 3 years (n ≈ 700,000 per year) in Japan, during 2001–2016. Age-standardized smoking prevalence was computed based on occupational class and educational level. We calculated smoking prevalence difference (PD) and ratio (PR) of (a) manual workers versus upper non-manual workers and (b) low versus high educational level. The slope index of inequality (SII) and relative index inequality (RII) by educational level were used as inequality measures.ResultsOverall smoking prevalence (25–64 years) decreased from 56.0% to 38.4% among men and from 17.0% to 13.0% among women during 2001–2016. The PD between manual and upper non-manual workers (25–64 years) increased from 11.9% (95% confidence interval [CI], 11.0–12.9%) to 14.6% (95% CI, 13.5–15.6%) during 2001–2016. In 2016, smoking prevalence (25–64 years) for low, middle, and highly educated individuals were 57.8%, 43.9%, and 27.8% for men, and 34.7%, 15.9%, and 5.6% for women, respectively. SII and RII by educational level increased among both sexes. Larger socioeconomic differences in smoking prevalence were observed in younger generations, which suggests that socioeconomic inequalities in smoking evolve in a cohort pattern.ConclusionsSocioeconomic inequalities in smoking widened between 2001 and 2016 in Japan, which indicates that health inequalities will continue to exist in near future.

Birth-cohort estimates of smoking initiation and prevalence in 20th century Australia: Synthesis of data from 33 surveys and 385,810 participants.

The aim of our study was to quantify sex-specific patterns of smoking prevalence and initiation in 10-year birth cohorts from 1910 to 1989 in Australia. We combined individual data of 385,810 participants from 33 cross-sectional surveys conducted between 1962 and 2018. We found that age-specific smoking prevalence varied considerably between men and women within birth cohorts born before 1960. The largest difference was observed in the earliest cohort (1910–1919), with up to 37.7% point greater proportion of current smokers in men than in women. In subsequent cohorts, the proportion decreased among men, but increased among women, until there was no more than 7.4% point difference in the 1960–69 birth cohort. In the 1970–79 and 1980–89 cohorts, smoking among men marginally increased, but the proportion was at most ~11.0% points higher than women. Our analysis of initiation indicated that many women born before the 1930s who smoked commenced smoking after age 25 years (e.g., ~27% born in 1910–19); compared to at most 8% of men in any birth cohort. The earliest birth cohort (1910–1919) had the greatest difference in age at initiation between sexes; 26.6 years in women versus 19.0 in men. In later cohorts, male and female smokers initiated increasingly earlier, converging in the 1960–69 cohort (17.6 and 17.8 years, respectively). While 22.9% of men and 8.4% of women initiated smoking aged < = 15 in the 1910–1919 cohort, in the latest cohort (1980–89) the reverse was true (21.4% and 28.8% for men and women, respectively). Marked differences in smoking prevalence and age at initiation existed between birth cohorts of Australian men and women born before 1960; after this, sex-specific trends in prevalence and initiation were similar. Understanding these patterns may inform the evaluation of tobacco control policies and the targeting of potential interventions for exposed populations such as lung cancer screening.

Relationship of trauma exposure and PTSD to cigarette smoking prevalence, frequency, and quantity: Data from a nationally representative sample of U.S. adults.

To examine differences in cigarette smoking behaviors among adults in the United States (a) with no exposure to trauma or PTSD, (b) with trauma but no PTSD, and (c) with PTSD. Data came from Wave 2 of the National Epidemiologic Survey on Alcohol and Related Conditions-II (NESARC-II, 2004-2005) and included demographics, PTSD diagnoses, traumatic events, and smoking behaviors. Odds ratios and group differences in smoking prevalence and behaviors based on PTSD diagnoses and exposure to traumatic experiences were calculated. Traumatic events and PTSD diagnoses were both associated with greater smoking prevalences than persons without trauma or PTSD. Individuals with PTSD who smoke were more likely to report daily smoking than those without PTSD who smoke (Cohen's d = 0.19). Cigarette users with either trauma or PTSD smoked more cigarettes per day than cigarette users without trauma or PTSD (Cohen's d = 0.35). US adults with trauma exposure or PTSD have higher smoking prevalences and more intense smoking behaviors than those without PTSD or trauma. Trauma or PTSD may each serve as a clinical indicator of increased risk of cigarette smoking-related health problems and prompt the implementation of targeted interventions to reduce the harms of smoking. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Exposure to parental and sibling smoking and future intentions to smoke among 13-15 years old school age children in Saudi Arabia.

Introductionprevalence of smoking in school children is alarming in Saudi Arabia and little is well-known about the aspects stimulating such behaviours in secondary school children. The aim of this study was to assess the association between influence of parent/sibling/peer smoking and future intentions to initiate smoke among 13-15 years old school children in Al Ras town, Saudi Arabia.Methodsa cross sectional survey was conducted in Al Ras city during first quarter of 2019. Data was collected from 492 secondary school children who were selected through multistage stratified cluster sampling. Pretested, self-administered Arabic questionnaire was used to collect data about socio-demographic and prevalence of current smoking behaviours and associated factors. Descriptive statistics was done initially, following by binomial regression to assess the predictors of current smoking and future smoking intentions.Resultsthe overall prevalence of smoking in respondents was 22.7% and statistically significant difference in smoking prevalence's between boys and girls was observed (40% vs 5.6%). Among the predictors of current smoking, smoking habits in siblings and getting pocket money over 200 Saudi riyals are found to be significant. Siblings smoking (odds ratio: 6.4) and poor academic performance (odds ratio: 3.2) were the two most important factors influencing children's intentions of smoking.Conclusionsmoking prevalence in secondary school children of Al Ras was similar to national data. Since, influence of siblings, getting more pocket money and poor academic performance were found to important predictors of children smoking behaviours and attitudes, health education programs should address these factors to be effective.