scholarly journals Cigarette Smoking Status and the Association between Media Use and Overweight and Obesity

2007 ◽  
Vol 166 (7) ◽  
pp. 795-802 ◽  
Author(s):  
M. M. Yore ◽  
J. E. Fulton ◽  
D. E. Nelson ◽  
H. W. Kohl
Keyword(s):  
Cigarette Smoking ◽  
Media Use ◽  
Smoking Status ◽  
Overweight And Obesity

scholarly journals Cigarette smoking and e-cigarette use among university students in Queensland, Australia and New Zealand: results of two cross-sectional surveys

BMJ Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. e041705
Author(s):  
Ben Wamamili ◽  
Sheleigh Lawler ◽  
Mark Wallace-Bell ◽  
Coral Gartner ◽  
David Sellars ◽  
...  
Keyword(s):  
New Zealand ◽  
Cigarette Smoking ◽  
University Students ◽  
Multinomial Logistic Regression ◽  
Smoking Status ◽  
Cigarette Use ◽  
Dual Use ◽  
Cross Sectional ◽  
Free Spaces ◽  
And Gender

ObjectivesExamine the patterns of cigarette smoking and e-cigarette use (vaping), the perceived harm of e-cigarettes compared with tobacco cigarettes, and associations between smoking and vaping with student characteristics.DesignCross-sectional studies.SettingThe University of Queensland (UQ), Australia and eight New Zealand (NZ) universities.ParticipantsStudents at UQ: 4957 (70.8% aged <25 years, 63.0% women) and NZ: 1854 (82.5% aged <25 years, 60.1% women).MethodsΧ2 tests compared smoking by age and gender, and vaping by age, gender and smoking status. Two-sided p<0.05 was considered significant and 95% CIs reported where appropriate. Multinomial logistic regression examined associations between smoking and vaping (exclusive smoking, exclusive vaping, dual use and non-use) with age, gender and student type (domestic vs international).ResultsSmoking (UQ vs NZ, 95% CI): ever 45.2% (43.8% to 46.6%) vs 50.0% (47.7% to 52.3%), current 8.9% (8.1% to 9.7%) vs 10.4% (9.1% to 11.9%) and daily 5.2% (4.6% to 5.8%) vs 5.6% (4.6% to 6.7%), and not smoking in indoor 98.3% vs 87.7% or outdoor smoke-free spaces 83.8% vs 65.3%.Vaping (UQ vs NZ, 95% CI): ever 20.9% (19.8% to 22.1%) vs 37.6% (35.4% to 39.9%), current 1.8% (1.5% to 2.2%) vs 6.5% (5.4% to 7.7%) and daily 0.7% (0.5% to 1.0%) vs 2.5% (1.9% to 3.4%), and not vaping in indoor 91.4% vs 79.6% or outdoor smoke-free spaces 84.4% vs 71.3%. Of respondents, 71.7% (70.3% to 73.2%) vs 75.3% (72.9% to 77.6%) perceived e-cigarettes as less harmful than tobacco cigarettes.Men were more likely than women to smoke and vape, and to believe that e-cigarettes are less harmful. Regression models containing all predictors for smoking and vaping were significant and the effect of gender was significant for dual use, exclusive smoking and exclusive vaping (all p<0.01). Men had higher odds for smoking, vaping or dual use.ConclusionsResults suggest significant differences in patterns of smoking and vaping of university students in Australia and NZ, and a strong influence of gender on smoking and vaping.

Patterns of non-cigarette tobacco and nicotine use among current cigarette smokers and recent quitters: Findings from the 2020 ITC Four Country Smoking and Vaping Survey

2021 ◽  
Author(s):  
Lin Li ◽  
Ron Borland ◽  
K Michael Cummings ◽  
Shannon Gravely ◽  
Anne C K Quah ◽  
...  
Keyword(s):  
Smoking Cessation ◽  
Cigarette Smoking ◽  
Smoking Status ◽  
Tobacco Product ◽  
Cigarette Tobacco ◽  
Cigarette Smokers ◽  
Tobacco Products ◽  
Patterns Of Use ◽  
Levels Of Use ◽  
Current Cigarette

Abstract Introduction This study explores patterns of use of non-cigarette tobacco and nicotine products among adult cigarette smokers and recent ex-smokers. Along with cigarette smoking status we explore differences as a function of countries with different product regulations, gender and age. Methods Data came from the ITC Four Country Smoking and Vaping Wave 3 Survey conducted between February-June 2020. The analytic sample consisted of 9112 current cigarette smokers (at least monthly) and 1184 recent ex-smokers (quit cigarettes ≤ 2 years) from Australia, Canada, England, and the US. Respondents were asked about their cigarette smoking and current use of the following non-cigarette products: combustible tobacco (cigars, cigarillos, pipe, waterpipe); non-combustible tobacco (smokeless tobacco, and heated tobacco products (HTPs)); and non-tobacco nicotine products (nicotine vaping products (NVPs), nicotine replacement therapy (NRT), and nicotine pouches)). Results Overall, NVPs (13.7%) and NRT (10.9%) were the most reported nicotine products used, followed by cigars (5.3%), cigarillos (4.2%), and HTPs (3.5%). More than 21% current and recent ex-smokers of cigarettes reported using a non-tobacco nicotine product and non-combustible product, with respondents in England reporting the highest levels of use (&gt;26%). Males, younger respondents, and current non-daily cigarette smokers were more likely to use non-cigarette nicotine products. Notably, 11.6% of ex-cigarette smokers were using other combustible tobacco. Conclusion Considerable percentages of current cigarette smokers and ex-smokers use non-cigarette nicotine products, and there are unexpectedly high levels of use of other combustible products by those recent ex-smokers of cigarettes which is concerning and has important implications for definitions of smoking cessation. Implications The tobacco product market has evolved to include new products which add to existing non-cigarette tobacco products creating a much more diverse nicotine market. This brief report provides a snapshot of use of various combustible and non-combustible nicotine containing products among current cigarette smokers and recent ex-smokers in four western countries. Our results indicate that use of non-cigarette tobacco and nicotine products among these cigarette smokers and recent ex-smokers is not low, particularly among males, younger and non-daily cigarette smokers. Use of other combustible tobacco among respondents that recently quit cigarette smoking is concerning and has important implications for definitions of smoking cessation. Increased emphasis on researching non-cigarette nicotine product use is warranted in tobacco control generally and smoking cessation in particular.

scholarly journals Obesity is positively related and tobacco smoking and alcohol consumption are negatively related to an increased risk of thyroid cancer

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Soo-Youn An ◽  
So Young Kim ◽  
Dong Jun Oh ◽  
Chanyang Min ◽  
Songyoung Sim ◽  
...  
Keyword(s):  
Thyroid Cancer ◽  
Alcohol Consumption ◽  
Smoking Status ◽  
Conditional Logistic Regression ◽  
Overweight And Obesity ◽  
Control Group ◽  
Increased Risk ◽  
Region Of Residence ◽  
Korean National Health Insurance ◽  
Comorbidity Index

Abstract The purpose of this study was to evaluate the relationships of smoking, alcohol consumption, and obesity with thyroid cancer in Korean residents. The Korean National Health Insurance Service-Health Screening Cohort includes individuals ≥ 40 years who were assessed from 2002 to 2013. In total, 4977 thyroid cancer participants were matched with respect to age, sex, income, and region of residence with 19,908 controls at a ratio of 1:4. Crude and adjusted (for the Charlson comorbidity index, smoking status, frequency of alcohol consumption, and obesity) odds ratios (ORs) were analyzed using conditional logistic regression analyses. Additionally, 95% confidence intervals (CIs) were calculated. The adjusted OR of smoking for thyroid cancer was 0.62 (95% CI 0.54–0.72, P < 0.001), and that of alcohol consumption was 0.83 (95% CI 0.75–0.92, P < 0.001). The adjusted ORs of the BMI categories were 1.13 (95% CI 1.05–1.22, P = 0.002) for obese I, and 1.24 (95% CI 1.04–1.47, P = 0.014) for obese II. The ORs of smoking and alcohol consumption were lower, and those of overweight and obesity were higher in thyroid cancer patients than in individuals in the control group.

scholarly journals Media use and excess body weight among women in Nigeria: a cross-sectional study

BMJ Open ◽  
2018 ◽  
Vol 8 (7) ◽  
pp. e020802 ◽  
Author(s):  
Bishwajit Ghose ◽  
Sanni Yaya
Keyword(s):  
Body Weight ◽  
Weight Status ◽  
Media Use ◽  
Multivariable Analysis ◽  
Overweight And Obesity ◽  
Outcome Variable ◽  
Excess Body Weight ◽  
Demographic And Health Surveys ◽  
Adult Women ◽  
Cross Sectional

ObjectivesTo investigate the (1) time trends in body mass index (BMI) and (2) relationship between media use and body weight status among adult women in Nigeria. We hypothesise that higher frequency of media use is associated with higher likelihood of being overweight and obesity among adult women.Study designCross-sectional.SettingUrban and rural settings in Nigeria.ParticipantsAdult non-pregnant women aged between 15 and 49 years.MethodsData were derived from Nigeria Demographic and Health Surveys conducted in 2003, 2008 and 2013. The outcome variable was excess body weight (overweight and obesity), and main explanatory variables were frequency of reading newspaper, listening to radio and television (TV) viewing. Datasets were merged to perform pooled analysis, and were analysed using bivariate and multivariable regression techniques.ResultsOf the 69 401 participants, 16.2% had a BMI of 25.0–29.9 kg/m2(95% CI 15.8 to 16.6) and 6.6% had >30 kg/m2(95% CI 6.3 to 6.9). Between 2003 and 2013, the prevalence of overweight women increased by 4.1%, and that of obesity by 2.2%. Overall, radio was the most popular media followed by TV and newspaper. Respectively, 15.6% and 11.7% of the women reported using radio and TV almost every day and 30.6% and 25.1% at least once a week. In multivariable analysis, watching TV almost every day and at least once a week were associated with, respectively, 1.6 and 1.2 times higher odds of being overweight, and 2.7 and 1.5 times higher odds of being obese compared with those who never used radio. Similarly, significant associations were observed for newspaper and radio use as well.ConclusionThe prevalence of overweight and obesity is noticeably high among Nigerian women and has been increasing steadily over the past decade. A statistically significant association exists between BMI and the use of newspaper, radio and TV. Further studies are required to develop a better understanding of the mechanisms that underlie this relationship.

scholarly journals Active cigarette smoking is associated with an exacerbation of genetic susceptibility to diabetes

2020 ◽  
Author(s):  
Ada Admin ◽  
Wan-Yu Lin ◽  
Yu-Li Liu ◽  
Albert C. Yang ◽  
Shih-Jen Tsai ◽  
...  
Keyword(s):  
Cigarette Smoking ◽  
Genetic Risk ◽  
Glycated Hemoglobin ◽  
Smoking Status ◽  
Genetic Risk Score ◽  
Serum Glucose ◽  
Diabetes Diagnosis ◽  
Replication Cohort ◽  
Standard Deviation Increase ◽  
Passive Smoker

The heritability levels of two traits for diabetes diagnosis, fasting serum glucose (FG) and glycated hemoglobin (HbA1c), were estimated to be 51% ~ 62%. Studies have shown that cigarette smoking is a modifiable risk factor for diabetes. It is important to uncover whether smoking may modify the genetic risk of diabetes. This study included a discovery cohort (TWB1) of 25,460 and a replication cohort (TWB2) of 58,774 unrelated Taiwan Biobank subjects. Genetic risk score (GRS) of each TWB2 subject was calculated with weights retrieved from TWB1 analyses. We then assessed the significance of GRS-smoking interactions on FG/HbA1c/diabetes while adjusting for covariates. A total of 5 smoking measurements were investigated respectively, including “active smoking status”, “pack-years”, “years as a smoker”, “packs smoked per day”, and “hours as a passive smoker per week”. Except passive smoking, all smoking measurements were associated with FG/HbA1c/diabetes (<i>P</i> < 0.0033) and were associated with an exacerbation of the genetic risk of FG/HbA1c ( < 0.0033). For example, each 1 standard deviation increase in GRS is associated with a 1.68% higher FG in subjects consuming one more pack of cigarettes per day ( ). Smoking cessation is especially important for people who are more genetically predisposed to diabetes.

scholarly journals Sodium Status and Its Association with Overweight and Obesity in Adults Living in Yazd, Iran

2019 ◽  
Author(s):  
Abolfazl Dashti- Rahmat Abadi ◽  
Hassan Mozaffari- Khosravi ◽  
Mahdieh Nemayandeh ◽  
Mohammad Hosein Soltani ◽  
Masoud Mirzaei ◽  
...  
Keyword(s):  
Sodium Excretion ◽  
Smoking Status ◽  
Urinary Sodium Excretion ◽  
Overweight And Obesity ◽  
Urinary Sodium ◽  
Health Study ◽  
Significant Difference ◽  
History Of ◽  
The Mean ◽  
Relationship Of

Background: Studies on the relationship of urinary sodium with overweight and obesity led to controversial results. Furthermore, no study has ever investigated the association between sodium status and obesity in Iranian adults. The present study examined the association of urinary sodium levels with overweight and obesity in adults living in Yazd, Iran. Methods: The present study recruited 240 adults randomly selected from adults, who participated in Yazd Health Study (YaHS). A 24-hour urine sample was collected from the participants. Participants' demographic information, history of chronic diseases, and smoking status were obtained. The height and weight of the participants were also assessed using standard methods. We compared the weight and body mass index (BMI) of the participants based on the urinary sodium excretion tertiles. The logistic regression model in crude and multivariable adjusted models was used to compare the odds of obesity between urinary sodium tertiles. Results: The findings showed that the mean urinary sodium was not significantly different among overweight, obese, and individuals with normal BMI (P > 0.05) using the crude and multivariable models. Furthermore, no significant difference was observed in the mean BMI according to urinary sodium excretion tertiles. In addition, the analyses showed that the sodium status was not significantly associated with odds of developing obesity in crude and in multivariable adjusted models. Conclusion: No significant relationship was seen between sodium status and overweight or obesity. Future prospective studies are highly recommended to confirm these results.

scholarly journals The Recalled Age of Initiation of Multiple Tobacco Products among 26–34 Year Olds: Findings from the Population Assessment of Tobacco and Health (PATH) Study Wave 1 (2013–2014)

2020 ◽  
Vol 17 (23) ◽  
pp. 9000
Author(s):  
Adriana Pérez ◽  
Elena Penedo ◽  
Meagan A. Bluestein ◽  
Baojiang Chen ◽  
Cheryl L. Perry ◽  
...  
Keyword(s):  
Cigarette Smoking ◽  
Smokeless Tobacco ◽  
Smoking Status ◽  
Tobacco Product ◽  
Tobacco Products ◽  
Replication Method ◽  
Cox Proportional Hazard Models ◽  
Secondary Analyses ◽  
Race Ethnicity ◽  
The Impact

This study examined the recalled age of initiation of seven different tobacco products (TPs) and explored potential influences of sex, race/ethnicity, and cigarette-smoking status on tobacco use initiation among adults 26–34 years old using the PATH study. Methods: Secondary analyses were conducted in the adult restricted PATH wave 1 (2013–2014) dataset. Weighted statistics are reported using the balanced repeated replication method and Fay’s correction to account for PATH’s complex study design. Distributions and histograms of the recalled age of initiation of seven different TPs (cigarettes, cigarillos, traditional cigars, filtered cigars, hookah, smokeless tobacco, and e-cigarettes) are reported, as well as the impact of sex and race/ethnicity using Cox proportional hazard models. The impact of cigarette-smoking status on the recalled age of initiation of each tobacco product other than cigarettes was explored. Results: The highest modes of the recalled age of initiation of cigarette use were at 14–15 and 15–16 years old. The distributions of the recalled age of initiation of cigarillos, traditional cigars, filtered cigars, hookah, and smokeless tobacco occurred later, with the highest modes at 15–16 and 17–18 years old. The distribution of the recalled age of initiation of e-cigarettes had a different shape than the other TPs, with the highest mode reported at 27–28 years old. Conclusion: Due to the ever-changing tobacco marketplace, understanding when contemporary adults aged 26–34 years recall initiating TP use is important and will inform prevention researchers.

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