Prevalence of tobacco dependence and associated factors in China: Findings from nationwide China Health Literacy Survey during 2018-19.

Background: Tobacco dependence is the key barrier to successful smoking cessation. However, little is known about its prevalence, sociodemographic characteristics and determinants. We aimed to estimate the prevalence, associated factors and burden of tobacco dependence in China. Methods: During 2018-2019, the nationally representative 2018 China Health Literacy Survey (2018 CHLS) invited 87,708 participants to participate using a multistage stratified sampling method from 31 provinces (or equivalent) in mainland China, and 84,839 participants aged 20-69 with valid data were included in the analysis. We diagnosed tobacco dependence based on international criteria (ICD-10, DSM-4) and tailored to Chinese population according to China Clinical Guideline for Tobacco Cessation (2015 version). The prevalence of tobacco dependence was estimated overall and by sociodemographic factors. The Logistic regression was conducted to estimate odds ratios (OR) and 95% confidence intervals (CIs) for tobacco dependence and success of smoking cessation (being ex-smokers), with different levels of adjustment. These were used to estimate the total number of adults who were tobacco dependent in China. Findings: In China, the estimated prevalence of current smoking was 25.1%, significantly higher in men than in women (47.6% vs 1.9%). The prevalence of current smoking varied approximately 3-fold (12.9% to 37.9%) across 31 provinces of China. Among general population aged 20-69 years, the prevalence of tobacco dependence was 13.1% (95% CI:12.2-14.1). Among current smokers, the prevalence of tobacco dependence was 49.7% (46.5-52.9%), with no difference between men and women (49.7% vs 50.8%). The prevalence of tobacco dependence was associated significantly with smoking intensity, defined by pack-years (1.62 [1.54-1.70] per 10 pack-years), cigarettes smoked per day (2.01 [1.78, 2.27] per 10 cigarettes), and smoking starting age (0.93 [0.90, 0.97] per 5 years). Given smoking intensity, the prevalence of tobacco dependence also varied by age, gender, certain socioeconomic status and regions. Compared with those without tobacco dependence, ever smokers with tobacco dependence were less likely to be ex-smokers (2.88, 2.59-3.21). In China, 183.5 (170.4-197.4) million adults (177.5 million were men) were tobacco dependent in 2018. Interpretation: In China, tobacco dependence is highly prevalent, with approximately half of current smokers being addictive, highlighting the need for coordinated effort to improve awareness, diagnosis and treatment of tobacco dependence. Funding: Chinese Academy of Medical Sciences (CAMS) Initiative for Innovative Medicine (CAMS 2021-I2M-1-010), National Key R&D Program of China (grant no 2017YFC1309400), and National Natural Science Foundation of China (grant no 81720108001). Note: Chinese translation of abstract is available in appendix section.

The experience of tobacco withdrawal symptoms among current smokers and ex-smokers in the general population: Findings from nationwide China Health Literacy Survey during 2018-19.

Objective: To clarify the extent to which smokers in the general population experience tobacco withdrawal symptoms and whether such experience differs in those who continue to smoke and those who stopped smoking. Methods: We included relevant questions in the nationally-representative China Health Literacy Survey (CHLS) conducted in 2018-2019. Among 87,028 participants, there were 22,115 ever-smokers aged 20-69 years who provided information on their smoking history and their experience of tobacco withdrawal symptoms. Multivariate logistic regressions were conducted to explore the association between withdrawal symptoms and other variables. Results: Among ever-smokers, there were 19,643 (88.8%) current smokers and 2,472 (11.2%) ex-smokers. Among current smokers, 61.3% reported having tried to quit smoking in the past. Overall, 61.1% of current smokers reported experiencing withdrawal symptoms: 69.9% of those who tried to quit smoking in the past and 47.5% of those who did not. A lower proportion of ex-smokers experienced withdrawal symptoms (46.3%) and the difference remained significant after controlling for demographic characteristics (OR = 1.76, 95% CI 1.62-1.93, P < 0.001). The most commonly reported withdrawal symptoms in both current smokers and ex-smokers were craving, restlessness and anxiety. In the multivariable-adjusted analyses, those who experienced withdrawal symptoms when they tried to quit smoking (OR: 2.05, 95% CI: 1.86-2.27) were less likely to successfully quit. Conclusions: The clinical picture of the tobacco withdrawal syndrome is the same in current smokers and in ex-smokers, but ex-smokers are less likely to have experienced it. The experience of discomfort when unable to smoke is common and seems likely to be a major factor contributing to maintaining smoking behavior not just among individuals seeking help with quitting smoking, but among smokers generally.

[Study on lifestyle and self-rated health among 5 kinds of occupational populations in 6 provinces in China].

OBJECTIVE: To know about the status of self-rated health and life style among 5 kinds of occupational populations in 6 provinces in China and to explore the influencing factors related with health of the occupational population. METHODS: From May to August 2009, a total of 13 492 persons aged 18 - 60 years including civil servants, scientific and technical personnel, administrative staff, teachers and physical workers were selected by multi-stage stratified sampling from Beijing city, Ningxia Hui autonomous region, Liaoning, Zhejiang, Hubei and Qinghai provinces to undergo surveys on the Lifestyle of Occupational Population in Urban in China and Self-rated Health Measurement Scale Version 1.0 (SRHMS V1.0). The effects of lifestyles on health scores were analyzed by logistic linear regression. RESULTS: Overall, 13 073 valid questionnaires of the Lifestyle of Occupational Population in Urban in China and 13 177 valid questionnaires of SRHMS V1.0 were collected. The valid rate was 96.9% and 97.7% respectively. Among the respondents, 46.9% (6136/13073) ate timely in a day, 50.9% (6658/13 073) ate breakfast every day, 27.8% (3635/13 073) worked over 8 hours per day, 31.0% (4057/13 073) didn't do any exercises, 14.6% (1906/13073) sat for over 4 hours in spare time, 39.3% (5137/13 073) were drinking and 24.8% (3230/13 073) were current smokers. The average score of SRHMS of all respondents was 73.34 +/- 11.86, of which the civil servant had the highest score (74.83 +/- 11.89) while the teacher had the lowest score (71.65 +/- 11.44, P < 0.05). The results of multiple linear regression showed that females (b = -0.945, b' = -0.041), the elderly (b = -0.098, b' = -0.087), teachers (b = - 2.151, b' = -0.074), the divorced (b = -1.607, b' = -0.021), the widowed (b = -2.926, b' = -0.019), and smokers (b = -1.198, b' = -0.045) were with worse condition. Respondents with higher education (b = 0.588, b' = 0.037), eating timely (b = 2.301, b' = 0.141), eating breakfast every day (b = 1.503, b' = 0.096), paying more attention on diet (b = 0.499, b' = 0.021) and doing more exercises (b = 1.820, b' = 0.058) had better condition. CONCLUSION: Eating irregularly, working long hours, lack of exercise, sitting for long hours, smoking and drinking were common among occupational population. The self-rated physical health status was associated with gender, age, education level, occupation, diet and exercise.

[Status quo of lifestyle among women of five occupations in six provinces of China].

OBJECTIVE: To learn the status quo of lifestyle among women of five occupations in six provinces of China. METHODS: A questionnaire was administered among 7416 women from five occupations (civil servants, teachers of elementary and high schools, technical staff, enterprise managers and physical laborers) in Beijing, Hebei, Jilin, Hubei, Ningxia and Gansu of China. The sample was selected by multi-stage stratified cluster random sampling method from December 2009 to June 2010. The questionnaire information included demographic characteristics, diet, sleep habit, smoking, physical exercise. The χ(2) test was used to analyze the different in life style of different occupations. RESULTS: There were 7416 valid questionnaires received, and the valid rate of the questionnaires was 97.58% (7416/7682). About 38.00% (2818/7416) respondents preferred to bland diet and 28.44% (2109/7416) preferred to salty and oily food and 33.56% (2489/7416) had no preference. The proportion of sleep time between seven and eight hours per day was highest (accounting for 56.23%, 4154/7416), 25.27% (1867/7416) with sleep time less than seven hours. Among the population who had the sleep time less seven hours, teacher that had the highest rate accounted for 33.19% (531/1607) and technical staff had the lowest rate accounted for 21.05% (301/1401) (P < 0.01). Most of respondents were non-smokers, accounting for 93.10% (6869/7416). 22.73% (1671/7416) respondents passively smoked. The proportion of always passive smoking was highest among civil servants and lowest among teachers, accounting for 26.60% (404/1531) and 18.71% (298/1607), respectively. The proportion of having no physical exercises was highest, accounting for 62.87% (4637/7416). The proportion of having three times physical exercises per week was 12.68% (935/7416). The proportion of having no physical exercises among physical laborers (66.42%, 912/1386), enterprise managers (66.64%, 987/1491) and teachers (62.40%, 999/1607) were higher than others and the proportion of having physical exercises per week among technical staff was 40.83% (569/1401), higher than others (P < 0.01). The proportion of person who worked in sitting quietly beyond six hours per day was 42.62% (3146/7416). The technical staff had the higher rate than other occupational populations (P < 0.01), accounting for 57.83% (809/1401). CONCLUSION: The female occupational population had some unhealthy lifestyles, such as taking in high salt food, lacking of sleep, smoking and passive smoking, lacking of physical exercises and working in sitting quietly. Different occupational populations had different unhealthy lifestyles.