5 research outputs found

    Individual and interpersonal triggers to quit smoking in China:a cross-sectional analysis

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    Aims: To determine the most prominent individual and interpersonal triggers to quit smoking in China and their associations with sociodemographic characteristics. / Methods: Data come from Waves 1–3 (2006–2009) of the International Tobacco Control (ITC) China Survey, analysed cross-sectionally as person-waves (N=14 358). Measures included sociodemographic and smoking characteristics. Those who quit between waves (4.3%) were asked about triggers that ‘very much’ led them to stop smoking, and continuing smokers about triggers that ‘very much’ made them think about quitting. Triggers covered individual (personal health concerns, cigarette price, smoking restrictions, advertisements, warning labels) and interpersonal factors (family/societal disapproval of smoking, setting an example to children, concerns about secondhand smoke). / Results: Over a third of respondents (34.9%) endorsed at least one trigger strongly; quitters were more likely than smokers to mention any trigger. While similar proportions of smokers endorsed individual (24.4%) and interpersonal triggers (24.0%), quitters endorsed more individual (61.1%) than interpersonal (48.3%) triggers. However, the most common triggers (personal health concerns; setting an example to children) were the same, endorsed by two-thirds of quitters and a quarter of smokers, as were the least common triggers (warning labels; cigarette price), endorsed by 1 in 10 quitters and 1 in 20 smokers. Lower dependence among smokers and greater education among all respondents were associated with endorsing any trigger. / Conclusions: Individual rather than interpersonal triggers appear more important for quitters. Major opportunities to motivate quit attempts are missed in China, particularly with regard to taxation and risk communication. Interventions need to focus on more dependent and less-educated smokers

    Causal association between snoring and stroke: a Mendelian randomization study in a Chinese populationResearch in context

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    Summary: Background: Previous observational studies established a positive relationship between snoring and stroke. We aimed to investigate the causal effect of snoring on stroke. Methods: Based on 82,339 unrelated individuals with qualified genotyping data of Asian descent from the China Kadoorie Biobank (CKB), we conducted a Mendelian randomization (MR) analysis of snoring and stroke. Genetic variants identified in the genome-wide association analysis (GWAS) of snoring in CKB and UK Biobank (UKB) were selected for constructing genetic risk scores (GRS). A two-stage method was applied to estimate the associations of the genetically predicted snoring with stroke and its subtypes. Besides, MR analysis among the non-obese group (body mass index, BMI <24.0 kg/m2), as well as multivariable MR (MVMR), were performed to control for potential pleiotropy from BMI. In addition, the inverse-variance weighted (IVW) method was applied to estimate the causal association with genetic variants identified in CKB GWAS. Findings: Positive associations were found between snoring and total stroke, hemorrhagic stroke (HS), and ischemic stroke (IS). With GRS of CKB, the corresponding HRs (95% CIs) were 1.56 (1.15, 2.12), 1.50 (0.84, 2.69), 2.02 (1.36, 3.01), and the corresponding HRs (95% CIs) using GRS of UKB were 1.78 (1.30, 2.43), 1.94 (1.07, 3.52), and 1.74 (1.16, 2.61). The associations remained stable in the MR among the non-obese group, MVMR analysis, and MR analysis using the IVW method. Interpretation: This study suggests that, among Chinese adults, genetically predicted snoring could increase the risk of total stroke, IS, and HS, and the causal effect was independent of BMI. Funding: National Natural Science Foundation of China, Kadoorie Charitable Foundation Hong Kong, UK Wellcome Trust, National Key R&D Program of China, Chinese Ministry of Science and Technology
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