Support Among Middle School and High School Students for Smoke-free Policies, North Carolina, 2009

Kandra, Kelly L.; McCullough, Anna; Ranney, Leah M.; Goldstein, Adam O.

doi:10.5888/pcd10.120135

Cited by 14 publications

(8 citation statements)

References 11 publications

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“…Levels of support for smoke-free public places typically vary by smoking status, knowledge about the harmfulness of SHS, and demographics [ 18 , 20 – 22 , 31 , 32 ]. Levels of support also vary by the type of restriction [ 30 , 33 ].…”

Section: Discussionmentioning

confidence: 99%

Factors associated with support for smoke-free policies among government workers in Six Chinese cities: a cross-sectional study

et al. 2014

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BackgroundA certain level of public support for smoke-free environments is a prerequisite for adoption and enforcement of policies and can be used as an indicator of readiness for legislative action. This study assessed support for comprehensive smoke-free policies in a range of settings such as hotels and colleges among government workers in China and identified factors associated with support for smoke-free policies. Understanding the extent to which government workers, a large segment of the working population in China, report a smoke-free workplace and support for smoke-free policies may be important indicators of readiness for strengthened policies given their role in formulating, implementing and enforcing regulations.MethodsData were from an evaluation of the Tobacco Free Cities initiative of Emory University’s Global Health Institute-China Tobacco Control Partnership. Self-administered surveys were completed by 6,646 workers in 160 government agencies in six Chinese cities. Multivariate logistic regression was used to identify factors associated with support for smoke-free worksites, bars, hotels, and colleges.ResultsOver half (54.6%) of participants were male. A large percentage of the male workers smoked (45.9%,) whereas very few women did (1.9%). Fewer than 50% of government workers reported smoke-free policies at work, with 19.0% reporting that smoking is allowed anywhere. Support for smoke-free policies was generally very high, with the lowest levels of support for smoke-free bars (79.0%) and hotels (82.3%), higher levels of support for restaurants (90.0%) and worksites (93.0%), and above 95% support for hospitals, schools, colleges, public transportation and religious settings. Knowledge of the harmfulness of secondhand smoke was positively associated with support for smoke-free policies. Stricter worksite smoking policies were associated with support for smoke-free workplaces and bars, but not hotels and colleges. Women and nonsmokers were more supportive of smoke-free policies in general.ConclusionGovernment workers play important roles in formulating, implementing and enforcing regulations; results suggest support for a more comprehensive approach to smoke-free environments in China among workers across a broad range of agencies.

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Section: Discussionmentioning

confidence: 99%

Factors associated with support for smoke-free policies among government workers in Six Chinese cities: a cross-sectional study

et al. 2014

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“…There have been more mixed findings about educational attainment; in some studies, lower educational attainment has been positively associated with supportive policy attitudes [ 18 , 21 ] although other studies have found no association [ 17 ], or contrary findings [ 20 , 22 ]. Smoking behavior has been consistently associated with policy attitudes such that nonsmokers tend to hold more favorable attitudes towards tobacco control policies than smokers [ 17 , 18 , 19 , 20 , 21 , 23 ]. With respect to beliefs, political ideology may impact attitudes, such that favorable attitudes towards tobacco control decreased as individuals showed more conservative political views and had less knowledge of tobacco’s health impacts.…”

Section: Introductionmentioning

confidence: 99%

“…The current research examines attitudes toward four potential new Federal tobacco regulations (banning menthol from cigarettes, reducing nicotine levels in cigarettes, banning candy and fruit flavored electronic cigarettes, and banning candy and fruit flavored little cigars and cigarillos) and associations of such attitudes with several factors. Previous research has measured attitudes towards various tobacco control measures, including smoke-free policies [ 19 , 20 , 23 , 24 ], point of sale policies [ 17 , 25 ], raising the age of tobacco use [ 26 ], banning menthol in cigarettes [ 18 , 21 , 27 ], reducing nicotine content in cigarettes [ 28 ], and banning flavored e-cigarettes [ 29 , 30 ]. The current research extends previous work by simultaneously assessing a range of factors, including trust in government, knowledge and credibility beliefs about the FDA, exposure to tobacco control communication campaigns, and state-level variables that may influence attitudes across a diverse group of potential new tobacco control policies, using a nationally representative sample of U.S. adults.…”

Section: Introductionmentioning

confidence: 99%

Attitudes towards Potential New Tobacco Control Regulations among U.S. Adults

Schmidt

Kowitt

Myers

et al. 2018

IJERPH

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Favorable attitudes towards tobacco control policies can facilitate their implementation and success. We examined attitudes toward four potential U.S. Federal tobacco regulations (banning menthol from cigarettes, reducing nicotine levels in cigarettes, banning candy and fruit flavored electronic cigarettes, and banning candy and fruit flavored little cigars and cigarillos) and associations with individual and state variables. A nationally representative phone survey of 4337 adults assessed attitudes toward potential policies. Weighted logistic regression was used to assess relationships between attitudes and demographic factors, smoking behavior, beliefs about the government (knowledge, trust, and credibility), exposure to tobacco control campaigns, and state variables from the US Centers for Disease Control and Prevention (CDC) State Tobacco Activities Tracking and Evaluation (STATE) System. Most respondents supported three out of four policies. Respondents that were female, non-white, Latino, living below the poverty line, had less than high school education, were of older age, did not smoke, had higher trust in government, and were exposed to national tobacco control campaigns had higher odds of expressing favorable attitudes toward potential new tobacco regulations than did their counterparts. No state-level effects were found. While differences in attitudes were observed by individual demographic characteristics, behaviors, and beliefs, a majority of participants supported most of the potential new tobacco regulations surveyed.

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“…Current smoking was investigated by asking students the following question: “How many days did you smoke cigarettes during the past 30 days?” Responses were defined as current smokers when the selected answers indicated 1 or more days [41]. Current drinking was assessed with the following question: “During the past 30 days, on how many days did you drink alcohol?” Responses were defined as current drinkers when the selected answers indicated 1 or more days [42].…”

Section: Methodsmentioning

confidence: 99%

Effect of Sex on the Association Between Nonmedical Use of Opioids and Sleep Disturbance Among Chinese Adolescents: A Cross-Sectional Study

Xiao

Guo

Zhao

et al. 2019

IJERPH

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Sleep disturbance and non-medical prescription opioid use (NMPOU) are currently growing public health concerns, and sex differences may result in differential exposure to frequency of NMPOU or sleep disturbance. This study aimed to explore the association between the frequency of lifetime or past-year NMPOU and sleep disturbance and to evaluate whether there was any sex difference in this association among Chinese adolescents. A cross-sectional study was performed in seven randomly selected Chinese provinces through the 2015 School-Based Chinese Adolescents Health Survey. A total of 159,640 adolescents were invited to participate and among them, 148,687 adolescents’ questionnaires were completed and qualified for this study (response rate: 93.14%). All analyses were performed for boys and girls separately. There were significant sex differences in the prevalence of lifetime or past-year opioid misuse and sleep disturbance (p < 0.05). Among girls, frequent lifetime NMPOU (adjusted odds ratio [aOR] = 2.09, 95% CI = 1.80–2.44) and past-year NMPOU (aOR = 2.16, 95% CI = 1.68–2.77) were positively associated with sleep disturbance. Among boys, these associations were also statistically significant, while the magnitudes of associations between frequent lifetime NMPOU or past-year NMPOU and sleep disturbance were greater in girls than those in boys. There is a significant sex difference in the prevalence of lifetime or past-year NMPOU and sleep disturbance. Furthermore, exposure to more frequent lifetime or past-year NMPOU is associated with a greater risk of sleep disturbance, especially among girls. Taking into account the sex difference for lifetime or past-year NMPOU may help to decrease the risk of sleep disturbance.

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Support Among Middle School and High School Students for Smoke-free Policies, North Carolina, 2009

Cited by 14 publications

References 11 publications

Factors associated with support for smoke-free policies among government workers in Six Chinese cities: a cross-sectional study

Factors associated with support for smoke-free policies among government workers in Six Chinese cities: a cross-sectional study

Attitudes towards Potential New Tobacco Control Regulations among U.S. Adults

Effect of Sex on the Association Between Nonmedical Use of Opioids and Sleep Disturbance Among Chinese Adolescents: A Cross-Sectional Study

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