[Tobacco dependence status and influencing factors among smokers aged 40 or older in China]

Correlations among nicotine dependence, health-related quality of life, and depression in current smokers: a cross-sectional study with a mediation model

Background

Although the negative impact of smoking and health-related quality of life (HRQoL) on depression has been confirmed in various studies, There has been little exploration of how HRQoL mediates the relationship between smoking and depression. The purpose of the current study was to examine the relationship between smoking and depression in the Chinese current smokers with nicotine dependence and the mediating role of HRQoL.

Methods

A cross-sectional study named "Psychology and Behavior Investigation of Chinese Residents" was conducted from July 10 to September 15, 2021 in China. Nicotine dependence, HRQoL and depression were measured by Fagerstrom Test for Nicotine Dependence (FTND), the European Five Dimensional Five Level Health scale (EQ-5D-5L) and the 9-item Patient Health Questionnaire (PHQ-9) respectively. Information on age, gender, place of residence, household registration, education level, marital status, employment status, average family monthly income, drinking frequency, living status, BMI, multiple chronic conditions were also collected. Pearson's correlation test and logistic regression analysis were conducted to explore the association between nicotine dependence, HRQoL and depression and a mediation analysis was applied to explore the mediating effect of the HRQoL on this relationship.

Results

A total of 1,381 current smokers were included in the study. The participants showed a moderate level of nicotine dependence with a mean of 1.36(SD=1.50), a relatively high level of HRQoL scores (Mean=0.94, SD=0.13), and a depression score with a mean of 6.48(SD=6.09). Approximately 22.74% (314/1,381) of the participants were considered to indicate depression. In the univariable regression model, it was found that nicotine dependence was positively associated with depression (OR:1.094, 95%CI: 1.008-1.187), while HRQoL was negatively associated with depression (OR:0.011, 95%CI: 0.004-0.033). In the multivariable regression model, HRQoL was still notably associated with depression (OR:0.008, 95%CI: 0.002-0.027), however, the positive association was not observed between nicotine dependence and depression. The Pearson's correlation test demonstrated that nicotine dependence was negatively correlated with HRQoL(rs= -0.147, P<0.001) and HRQoL was negatively correlated with depression(rs= -0.275, P<0.001). In contrast, nicotine dependence was positively correlated with depression(rs= 0.136, P<0.001). Mediation analysis found that HRQoL moderated the relationship between nicotine dependence and depression with a mediating effect of 26.49%.

Conclusions

The findings support that nicotine dependence is positively associated with depression and HRQoL is negatively associated with depression in current smokers. HRQoL mediated the relationship between nicotine dependence and depression. The well-established imperative interventions aimed at promoting smoking cessation and improving quality of life may benefit for alleviation of depression in current smokers.

Prevalence of nicotine dependence among smokers aged 40 years and older in China

Background

Nicotine dependence, also known as tobacco dependence, is a common chronic disease and a major risk factor for chronic respiratory diseases. The present study was designed to determine the prevalence of nicotine dependence and its changes among smokers aged 40 years and older in China, to analyze the characteristics of nicotine dependence among smokers, and to provide a reference for smoking cessation interventions.

Methods

The data were sourced from nationally representative large-sample surveys conducted during 2014-2015 and 2019-2020 in the Chinese population, covering 125 counties (districts) in 31 provinces, autonomous regions and municipalities. Variables related to smoking and nicotine dependence among residents ≥40 years old were collected in face-to-face interviews. A total of 20,062 and 18,975 daily smokers were included in the 2014-2015 and 2019-2020 surveys, respectively. The severity of nicotine dependence was evaluated according to the Fagerström Test for Nicotine Dependence and Heaviness of Smoking Index. The level and change in nicotine dependence among daily smokers aged ≥40 years were estimated using a complex weighted sampling design, and their influencing factors were analyzed.

Results

Levels of nicotine dependence among daily smokers aged ≥40 years in China could be divided into very low, low, medium, high, and very high, accounting for 31.1%, 27.9%, 13.4%, 20.5%, and 7.1% of the total, respectively. The average Fagerström Test for Nicotine Dependence score was 3.9 (95% confidence interval [CI]: 3.8-4.0), with the prevalence of medium-high nicotine dependence being 41.0% (95% CI: 39.0-42.9%) and that of high and very high nicotine dependence being 27.6% (95% CI: 26.0-29.3%), both of which were significantly higher in men than in women (both P < 0.001). Among daily smokers, those with a low education level, age at smoking initiation <18 years, and with smoking duration of ≥20 years had a higher degree of nicotine dependence. In terms of geographic region, the level of medium-high nicotine dependence in South China was higher than in other areas, and the decline in the prevalence of high nicotine dependence was the greatest in Northwest China (P < 0.001). The prevalence of medium-high and high and very high nicotine dependence was significantly higher in men with chronic respiratory symptoms, chronic obstructive pulmonary disease (COPD), and/or chronic respiratory diseases than in men without these conditions (all P < 0.05). The prevalence of high and very high nicotine dependence in women with chronic respiratory symptoms and chronic respiratory diseases was significantly higher than that in women without these conditions (both P < 0.05). Compared with that during 2014-2015, the prevalence of high nicotine dependence among daily smokers decreased during 2019-2020 by 4.5 percentage points in the total population (P < 0.001) and by 4.8 percentage points in men (P < 0.001), with no significant change seen in women (P > 0.05). Additionally, the prevalence of high nicotine dependence in men with chronic respiratory symptoms and COPD decreased by 6.7 and 4.7 percentage points, respectively (P < 0.05), but showed no significant change in women with these conditions (P > 0.05). Multivariate logistic regression analysis showed that the risk of medium-high nicotine dependence was higher among daily smokers who were male; 50-59 years old; unmarried/divorced/widowed/separated; engaged in agriculture, forestry, husbandry, fishery and water conservancy; had a low education level; started smoking before the age of 18 years; and smoked for more than 20 years.

Conclusions

The past few years have seen a slight decline in the prevalence of high (severe) nicotine dependence among smokers aged ≥40 years in China. However, 41.0% of daily smokers had medium-high nicotine dependence, and 27.6% had high or very high nicotine dependence, with notable differences in population and geographic distributions. Development of tailored interventions, optimization of smoking cessation service systems, and integration of smoking cessation into the management of chronic diseases will effectively reduce the burden of nicotine dependence in China.

Association between smoking and hypertension under different PM2.5 and green space exposure: A nationwide cross-sectional study

Background

Smoking has been widely reported to have a significant relationship with hypertension, but the past description of this relationship has not been uniform. In addition, there has been a lack of research to discuss the impact of environmental exposure on the relationship between smoking and hypertension. Therefore, this study estimates the association between smoking and hypertension in middle aged and elderly people in China under different PM_2.5 (fine particulate matter) concentrations and the green space exposure conditions.

Methods

Individual sample data from the China Health and Retirement Longitudinal Study in 2018 and the long-term average exposure concentration of fine particles and green space exposure for all participants were used with a multilevel binary logistic mixed effects model. Adjustments were made for sociodemographic characteristics and other health behaviors including drinking, physical activity, and social activity. The normalized difference vegetation index (NDVI) and PM_2.5 concentration stratification were assigned with the median of the population exposure concentration as the dividing line, and the dual environmental factor stratification was assigned in combination with the two types of environmental exposure. The analysis was also stratified using age groups.

Results

A total of 10,600 participants over the age of 45 were included in the study. The effects of smoking on hypertension were diverse under different environmental exposure conditions. There was a significant relationship between smoking behavior and hypertension in the Low-NDVI group, and the effect value of this relationship was significantly different from that in the High-NDVI group. Furthermore, for respondents exposed to low green spaces and high PM_2.5 environments at the same time (Low-NDVI/High-PM_2.5 group), their smoking behavior may lead to an increase in the risk of hypertension. In addition, the risk of hypertension caused by smoking in the middle-aged (45-64) was significant under low green space exposure, but the effect difference between the different age groups was not significant.

Conclusions

The relationship between smoking and hypertension was different under different environmental exposure conditions. Exposure to low green spaces may strengthen the association between smoking and hypertension risk. When participants were exposed to both low green spaces and high PM_2.5 concentrations, the risk of hypertension caused by smoking was significantly higher than that of those who were exposed to high green spaces and low PM_2.5 concentrations.

[Relation of smoking status to family health and personality traits in residents aged over 18 years in China]

OBJECTIVE

To explore the relation of smoking status to family health and personality traits in residents aged over 18 years in China by binary Logistic regression analysis, to identify the psychosocial factors that influence tobacco use, and to provide evidence to predict smoking susceptibility based on personality traits and prevent smoking at individual and family levels.

METHODS

Residents aged over 18 years in China were selected from "the Survey of Chinese Family Health Index (2021)". General characteristic questionnaire, short-form of family health scale, 10-item big five inventory were used to collect sociodemographic information, family health function and personality traits. And the relation of smoking status to family health and personality traits were analyzed by binary Logistic regression analysis.

RESULTS

Totally 10 315 adults were collected, of whom there were 2 171 smokers. The smoking rate was 21.05%, 41.76% of the residents were male, 3.69% female, 20.03% urban, 23.77% rural, 12.60% aged between 18 and 35 years, 27.11% aged between 36 and 59 years, 34.35% aged over 60 years, and the smoking rate varied in gender, location, age, education, marital status, family types, and average household monthly income (P < 0.05). Furthermore, the scores of family health, family social and emotional health processes, family healthy lifestyle, family health resources, family external social support, agreeableness, openness, and neuroticism among smokers were lower than those of the non-smokers (P < 0.05). The results of binary Logistic regression analysis showed that the residents over 35 years old, with low educational level and divorced were the risk factors to smoking (P < 0.05), while female, unmarried, nuclear family, high scores of family social and emotional health processes and family health resources, openness, neuroticism, and agreeableness were the protective factors to smoking (P < 0.05).

CONCLUSION

Besides gender, age, location, education, marital status, family types and average household monthly income, family health, and personality traits were also important factors influencing smoking status. Tobacco control based on personality traits and family health is essential, and more convincing research is necessary to determine the relation of tobacco use, tobacco dependence and smoking cessation to family health and personality traits.