Smoking Prevalence Among U.S. Adults

2003 ◽  
Author(s):  
Keyword(s):  
Smoking Prevalence

Trends of Smoking Prevalence and Implication for Chronic Diseases in China: Serial National Cross-Sectional Surveys

2018 ◽  
Author(s):  
Minghuan Wang ◽  
Xiang Luo ◽  
Shabei Xu ◽  
Wenhua Liu ◽  
Fengfei Ding ◽  
...  
Keyword(s):  
Chronic Diseases ◽  
Smoking Prevalence ◽  
Cross Sectional

scholarly journals Impact of price and non-price policies on household cigarette consumption and nutrient intake in smoking-tolerant Indonesia

BMJ Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. e039211
Author(s):  
Triasih Djutaharta ◽  
Nachrowi Djalal Nachrowi ◽  
Aris Ananta ◽  
Drajat Martianto
Keyword(s):  
Protein Intake ◽  
Smoking Prevalence ◽  
National Health Survey ◽  
Secondary Outcome ◽  
Household Expenditure ◽  
Food Groups ◽  
Cigarette Price ◽  
Cross Sectional ◽  
Budget Share ◽  
The Impact

ObjectiveTo examine the impact of cigarette price and smoking environment on allocation of household expenditure and its implication on nutrition consumption.DesignA cross-sectional study was conducted using the 2014 National Socioeconomic Survey (SUSENAS), the 2014 Village Potential Survey (PODES) and the 2013 Basic National Health Survey (RISKESDAS). SUSENAS and PODES data were collected by the Central Bureau of Statistics. RISKESDAS was conducted by National Institute of Health Research and Development (Balitbangkes), Indonesian Ministry of Health (MOH).Setting and participantsThe sample covered all districts in Indonesia; with sample size of 285 400 households. These households are grouped into low, medium and high smoking prevalence districts.Primary and secondary outcome measuresThe impact of cigarette price and smoking environment on household consumption of cigarette, share of eight food groups, as well as calorie and protein intake.Result1% increase in cigarette price will increase the cigarette budget share by 0.0737 points and reduce the budget share for eggs/milk, prepared food, staple food, nuts, fish/meat and fruit, from 0.0200 points (eggs/milk) up to 0.0033 points (fruit). Reallocation of household expenditure brings changes in food composition, resulting in declining calorie and protein intake. A 1% cigarette price increase reduces calorie and protein intake as much as 0.0885% and 0.1052%, respectively. On the other hand, existence of smoke-free areas and low smoking prevalence areas reduces the household budget for cigarettes.ConclusionA pricing policy must be accompanied by non-pricing policies to reduce cigarette budget share.

scholarly journals Understanding the complexity of socioeconomic disparities in smoking prevalence in Sweden: a cross-sectional study applying intersectionality theory

BMJ Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. e042323
Author(s):  
Sten Axelsson Fisk ◽  
Martin Lindström ◽  
Raquel Perez-Vicente ◽  
Juan Merlo
Keyword(s):  
Public Health ◽  
Smoking Prevalence ◽  
Health Management ◽  
Educational Achievement ◽  
Smoking Habit ◽  
Household Composition ◽  
Socioeconomic Disparities ◽  
Cross Sectional ◽  
Intersectionality Theory ◽  
Discriminatory Accuracy

ObjectivesSocioeconomic disparities in smoking prevalence remain a challenge to public health. The objective of this study was to present a simple methodology that displays intersectional patterns of smoking and quantify heterogeneities within groups to avoid inappropriate and potentially stigmatising conclusions exclusively based on group averages.SettingThis is a cross-sectional observational study based on data from the National Health Surveys for Sweden (2004–2016 and 2018) including 136 301 individuals. We excluded people under 30 years of age, or missing information on education, household composition or smoking habits. The final sample consisted on 110 044 individuals or 80.7% of the original sample.OutcomeApplying intersectional analysis of individual heterogeneity and discriminatory accuracy (AIHDA), we investigated the risk of self-reported smoking across 72 intersectional strata defined by age, gender, educational achievement, migration status and household composition.ResultsThe distribution of smoking habit risk in the population was very heterogeneous. For instance, immigrant men aged 30–44 with low educational achievement that lived alone had a prevalence of smoking of 54% (95% CI 44% to 64%), around nine times higher than native women aged 65–84 with high educational achievement and living with other(s) that had a prevalence of 6% (95% CI 5% to 7%). The discriminatory accuracy of the information was moderate.ConclusionA more detailed, intersectional mapping of the socioeconomic and demographic disparities of smoking can assist in public health management aiming to eliminate this unhealthy habit from the community. Intersectionality theory together with AIHDA provides information that can guide resource allocation according to the concept proportionate universalism.

scholarly journals Attitudes towards the New Zealand Government’s Smokefree 2025 goal associated with smoking and vaping in university students aged 18 to 24 years: results of a 2018 national cross-sectional survey

BMJ Open ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. e037362
Author(s):  
Ben Wamamili ◽  
Mark Wallace-Bell ◽  
Ann Richardson ◽  
Randolph C Grace ◽  
Pat Coope
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
New Zealand ◽  
University Students ◽  
Confidence Intervals ◽  
Logistic Regression Analysis ◽  
Smoking Prevalence ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Lower Odds

ObjectiveIn March 2011, New Zealand (NZ) launched an aspirational goal to reduce smoking prevalence to 5% or less by 2025 (Smokefree 2025 goal). Little is known about university students’ awareness of, support for and perceptions about this goal. We sought to narrow the knowledge gap.SettingUniversity students in NZ.MethodsWe analysed data from a 2018 cross-sectional survey of university students across NZ. Logistic regression analysis examined the associations between responses about the Smokefree goal with smoking and vaping, while controlling for age, sex and ethnicity. Confidence intervals (95% CI) were reported where appropriate.ParticipantsThe sample comprised 1476 students: 919 (62.3%) aged 18 to 20 and 557 (37.7%) aged 21 to 24 years; 569 (38.6%) male and 907 (61.4%) female; 117 (7.9%) Māori and 1359 (92.1%) non-Māori. Of these, 10.5% currently smoked (ie, smoked at least monthly) and 6.1% currently vaped (ie, used an e-cigarette or vaped at least once a month).ResultsOverall awareness of the Smokefree goal was 47.5% (95% CI: 44.9 to 50.1); support 96.9% (95% CI: 95.8 to 97.8); belief that it can be achieved 88.8% (95% CI: 86.8 to 90.7) and belief that e-cigarettes/vaping can help achieve it 88.1% (95% CI: 86.0 to 89.9).Dual users of tobacco cigarettes and e-cigarettes had greater odds of being aware of the Smokefree goal (OR=3.07, 95% CI: 1.19 to 7.92), current smokers had lower odds of supporting it (OR=0.13, 95% CI: 0.06 to 0.27) and of believing that it can be achieved (OR=0.15, 95% CI: 0.09 to 0.24) and current vapers had greater odds of believing that e-cigarettes/vaping can help to achieve it (OR=8.57, 95% CI: 1.18 to 62.52) compared with non-users.ConclusionsThe results suggest strong overall support for the Smokefree goal and belief that it can be achieved and that e-cigarettes/vaping can help achieve it. Smoking and vaping were associated with high awareness of the Smokefree goal, but lower support and optimism that it can be achieved.

Geographic distribution of the incidence of osteonecrosis of the femoral head in Japan and its relation to smoking prevalence

2021 ◽  
pp. 1-19
Author(s):  
Tetsuro Tani ◽  
Wataru Ando ◽  
Wakaba Fukushima ◽  
Hidetoshi Hamada ◽  
Masaki Takao ◽  
...  
Keyword(s):  
Femoral Head ◽  
Geographic Distribution ◽  
Smoking Prevalence
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