Frequency of health care provider recommendations for HPV vaccination: a survey in three large cities in China.

Introduction: Human papillomavirus (HPV) infection, an important pathogenic factor for cervical cancer, can be prevented by the HPV vaccine. Health care provider (HCP) recommendations contribute to improve HPV vaccination coverage. The aim of this study was to assess the frequency of HCP recommendations for HPV vaccination and associated factors. Methods: From Nov 8 to Dec 6 in 2018, a cross-sectional study was conducted through online questionnaires among HCPs (n = 1,371) from hospitals in three large cities in China (Shanghai, Guangzhou, and Shenzhen). Data on demographic characteristics, the frequency of HPV vaccination recommendations, HPV knowledge and related attitudes were collected through the questionnaires. Results: Among 1,371 participants, only 30.2% reported that they frequently recommended HPV vaccination. Multivariate analyses indicated that female sex, being employed in obstetrics or gynecology departments and community health service centers, and having higher self-reported and actual knowledge of HPV were factors associated with a higher recommendation frequency. Factors including a self-perceived non-obligation to provide recommendations and difficulties in discussing sexual topics were significantly correlated with less frequent recommendations. Employment in a community health service center (OR = 2.068, 95% CI: 1.070-3.999) was the strongest factor associated with the frequency of HCPs' recommendations for HPV vaccination. Discussion: The frequency of HCPs' recommendations for HPV vaccination in China was much lower than that in many developed countries. To enhance the recommendation frequency, medical institutions should help HCPs gain more knowledge of HPV and master communication skills. At the same time, the government should take measures to enhance the accessibility of HPV vaccines. The media should help to alleviate people's concerns and encourage them to face up sexual health.

A comprehensive content analysis of 104 Chinese electronic cigarette manufacturing enterprise official websites.

OBJECTIVE: The goal was to analyse website content of Chinese electronic (e) cigarette manufacturing enterprises and understand the marketing strategies to provide evidence for decision-makers to regulate manufacturers. METHODS: Through QCC.com, one of the largest enterprise information query platforms in China, we identified 104 official manufacturer websites in 2021. A codebook including 6 sections with 31 items was developed and all webpages were coded separately by two trained researchers. RESULTS: Over half of the websites (56.7%) did not have age verification for entry. Thirty-two (30.8%) websites had no restriction for minors to use or purchase e-cigarettes, and 79 (76.0%) had no health warning. Overall, 99 websites (95.2%) displayed their products, and 72 (69.2%) displayed e-flavours. The most frequently used descriptions of products included good taste (68.3%), positive mood (62.5%), leakage resistance (56.7%), enjoyment (47.1%), reduced harm (45.2%), alternatives to cigarettes (43.3%) and long battery life (42.3%). Additionally, 75 websites (72.1%) provided contact information on different channels, including WeChat (59.6%), Weibo (41.3%), Facebook (13.5%), Instagram (12.5%) and brand apps (2.9%). Manufacturers provided investment and franchise information (59.6%) and offline store information (17.3%). In addition, 41.3% websites included content regarding corporate social responsibility. CONCLUSIONS: Chinese e-cigarette manufacturers' official websites have become a platform for presenting product and brand information, establishing online and offline marketing loops, and displaying corporate social responsibility with weak age restrictions on access and a lack of health warnings. The Chinese government should implement strict regulatory measures on e-cigarette enterprises.

Development of a simplified version of the smoking rationalization belief scale for Chinese male smokers.

Objective: The goal of this study was to simplify the smoking rationalization belief (SRB) scale among Chinese male smokers and provide a convenient measuring tool with good reliability and validity to promote the assessment and further intervention of SRB among smokers. Methods: Through purposive sampling, a questionnaire survey was conducted among adult male smokers in three districts in Shanghai, and 1,307 valid questionnaires were collected. Exploratory factor analysis was used to analyze the simplified scale, and Pearson correlation analysis, multiple linear regression, and Cronbach's α were used to test the reliability and validity of the simplified scale. Results: The SRB scale was simplified from 26 items to 8 items and had good overall reliability (Cronbach's α = 0.757). There was a strong correlation between the simplified scale and the original scale (P < 0.001, r = 0.911), and the scores of SRB measured by the two scales were both negatively associated with a willingness to quit smoking (P < 0.001), which reflected the practical effectiveness of the simplified version. Conclusion: The simplified version of the SRB scale showed good reliability and validity among Chinese smokers, which facilitates smoking cessation-related research and practice.

Changes in cigarette consumption and intention to quit in response to the COVID-19 pandemic in China.

INTRODUCTION: Significant changes occurred in the way people socialize and interact with each other since China reported its first COVID-19 cases. However, little is known about how smoking behaviors may have changed due to the COVID-19 pandemic in China. The aim of this study was to assess changes in smoking behavior and intention to quit during the early stage of the COVID-19 pandemic in China and to investigate the associated factors. METHODS: An online cross-sectional survey was conducted among Chinese adult smokers. Participants were recruited through snowball sampling from 19 March to 2 April 2020. RESULTS: A total of 1388 smokers participated in this study. Of those, 1014 (73.0%) reported not changing their cigarette consumption, 104 (7.5%) reported smoking more and 268 (19.3%) reported smoking less due to the pandemic. Average daily cigarette consumption among all participants decreased from 15.0 (IQR: 10.0-20.0) to 13.0 (IQR: 8.0-20.0) (W=6.919, p<0.001). For intention to quit, 270 (19.5%) respondents reported becoming more willing to quit, and 91 (6.6%) reported becoming less willing to quit. Multivariate analyses showed that tobacco addiction, overall knowledge about the relationship between smoking and COVID-19, level of attention devoted to COVID-19, anxiety, living alone, and number of smokers in the family were significantly correlated with cigarette consumption and intention to quit, and living alone was the strongest factor associated with increased cigarette consumption (AOR=5.29; 95% CI: 1.51-18.56). CONCLUSIONS: The COVID-19 pandemic led to a slight decrease in cigarette consumption and an increase in quitting intention among Chinese smokers. During the early stages of the pandemic, it was important to focus on the anxiety of smokers, dispel smokers' misunderstandings of smoking and COVID-19 and create a supporting environment in the family to help smokers quit.

Cohort study of the effects of occupation and environmental tobacco smoke on the incidence of Alzheimer's disease among seniors.

INTRODUCTION: Alzheimer's disease (AD) is a disease caused by many factors including occupational and environmental factors. Secondhand smoke (SHS) can affect cognitive function. However, there is limited recent epidemiological research on how SHS and occupational factors affect AD in Zhejiang province. METHODS: We established a cohort of an AD high-risk population. In 2018, a cohort of 1742 elderly aged ≥60 years was established. In 2020, the cohort was followed up, and a total of 1545 people participated in the two surveys. Data collection included demographic and economic information such as age, gender, occupation, education level etc., and relative health behavior information such as smoking, drinking and tea drinking, etc. Basic physical examination data included height, weight, blood pressure, etc. At the same time, related cognitive status was assessed. Cox proportional hazards regression models, both unadjusted and adjusted models, were used to determine associations between cohort characteristics and AD. RESULTS: The results showed that SHS exposure and occupational characteristics were associated with an increased risk of cognitive impairments in seniors. Subgroups who used to work as blue-collar workers, who never worked, who kept standing for most of the time at work, and who were engaged in hard physical labor prior to retirement, had high incidence rates of AD. CONCLUSIONS: It was revealed that SHS, standing for most of the time and hard physical labor were associated risk factors of AD among seniors, compared with white-collar work. We recommend that the government establish a community supervisory mechanism to persuade smokers to quit or control smoking.

Education level modifies parental hesitancy about COVID-19 vaccinations for their children.

It is important to encourage parental acceptance of children's vaccination against COVID-19 to ensure population immunity and mitigate morbidity and mortality. This study drew upon protection motivation theory (PMT) to explore the factors of parental hesitancy about vaccinating their children. A national online survey was performed in China. A total of 2054 Chinese parents of children aged 6-12 years were included in this study. They reported on measures that assessed hesitancy about children's vaccination against COVID-19, PMT constructs (susceptibility, severity, response efficacy, self-efficacy, and response costs) and sociodemographic characteristics. Chinese parents reported a hesitancy rate of 29.4% for children's vaccination. Parents with higher level education were more likely to hesitate to vaccinate their children against COVID-19. After controlling for parents' and children's demographic variables, logistic regression showed that parents' hesitancy about their children's vaccination increased if parents had lower levels of susceptibility, response efficacy or self-efficacy, as well as higher levels of response costs. In addition, a high educational level can significantly increase the promotive effect of response cost and the protective effect of response efficacy on vaccine hesitancy. In conclusion, our findings suggested that PMT can explain parents' vaccine hesitancy and that education level can modify the effect of copying appraisal, but not threat appraisal, on parental hesitancy. This study will help public health officials send targeted messages to parents to improve the rate of COVID-19 vaccination in children aged 6-12 years and thus reach a higher level of immunity in the population.

Research progress on e cigarette use among adolescents and associated factors / 中国学校卫生

Abstract@#E cigarette has become more and more popular among adolescents, and the awareness and use of e cigarettes among middle and high school students have shown a significant upward trend. E cigarette use is not only harmful to adolescent health, but also may become a gateway to other addictive substances. Individual characteristics, products features, environment and other factors were associated with e cigarette use among adolescents. The purpose of the review is to understand the current status and associated factors of adolescent e cigarette use, so as to provide scientific suggestions for the prevention of e cigarette use among adolescents.

Associations between PM2.5 exposure and Alzheimer's Disease prevalence Among elderly in eastern China.

BACKGROUND: Studies showed that PM2.5 might be associated with various neurogenic diseases such as Alzheimer's Disease (AD). However, this topic had been little studied in Zhejiang province of China.  METHODS: In 2018, we established a cohort of AD high-risk population with 1,742 elderly aged 60 and above. In 2020, the cohort was followed up, a total of 1,545 people participated the 2 surveys. Data collection included questionnaires and basic physical examinations. The average residential exposure to PM2.5 for each participant, that in a 5-years period prior to the first survey, was estimated using a satellite-based spatial statistical model. We determined the association between PM2.5 and AD prevalence by cox proportional hazards regression model.  RESULTS: This study showed that an increase in the PM2.5 level was an important associated risk factor that contributed to AD. The average PM2.5 exposure levels among the study population ranged from 32.69 µg/m3 to 39.67 µg/m3 from 2013 to 2017, which were much higher than 5 µg/m3 that specified in the WHO air quality guidelines. There was an association between PM2.5 exposure and AD, and the correlations between PM2.5 and Mini-Mental State Examination, Montreal cognitive assessment scale scores were statistically significant. An increase in the PM2.5 level by 10 µg/m3 elevated the risk of AD among residents by 2%-5% (HR model 2-model 4 = 1.02 to 1.05, CI model 2-model 4 = 1.01-1.10). The subgroups of male, with old age, with low education levels, used to work as farmers or blue-collar workers before retirement, overweight and obese were associated with a higher effect of PM2.5. CONCLUSIONS: Reducing PM2.5 exposure might be a good way to prevent AD.

Longitudinal associations between e-cigarette use and onset of multiple modes of cannabis use among US adolescents.

OBJECTIVE: To examine the prospective associations between e-cigarette use and subsequent onset of various modes of cannabis use during a 12-month follow-up period among US adolescents. METHODS: Data were from the Wave 4 (2017, baseline) and Wave 4.5 (12-month follow-up) surveys of the Population Assessment of Tobacco and Health (PATH) Study, a nationally representative, longitudinal cohort study. Study population was cannabis-naïve US adolescents (12-16 years) at baseline who reported cannabis use status at follow-up (N = 9,692). Outcomes were modality-specific past-12-month cannabis use (vaping, blunting, smoking with hookah) and any cannabis use (past-12-month and past-30-day) at follow-up. Multivariate logistic regressions were used to estimate the weighted association between baseline past-30-day e-cigarette use and each outcome. RESULTS: Baseline e-cigarette use was significantly associated with onset of cannabis vaping (aOR = 4.00, 95% CI = 2.25-7.10), blunting (aOR = 5.30, 95% CI = 2.82-9.94), any cannabis use (aOR = 3.94, 95% CI = 2.35-6.62), and past-30-day cannabis use (aOR = 4.47, 95%CI = 2.64-7.58) at follow-up. Non-Hispanic blacks were more likely to report past-12-month blunting (aOR = 1.55, 95% CI = 1.07-2.24) and smoking cannabis with hookah (aOR = 3.13, 95% CI = 1.14-8.63) compared with non-Hispanic whites. Other tobacco use, alcohol use, perceiving e-cigarette use as having little or some harm, older age, high severity of externalizing mental health problems, and living in states legalized adult recreational cannabis use were significantly associated with future onset of cannabis vaping, blunting, and any cannabis use. CONCLUSIONS: The association of e-cigarette use with cannabis vaping was not stronger than its association with other modes of cannabis use. Future studies are needed to explain the mechanisms linking e-cigarettes and cannabis use.

Effect modification of legalizing recreational cannabis use on the association between e-cigarette use and future cannabis use among US adolescents.

BACKGROUND: Many states have legalized recreational cannabis use for adults. However, no study has examined how this policy may interact with youth vaping to influence cannabis use among US adolescents. This study investigates whether the association between baseline e-cigarette use and subsequent cannabis use differs by state recreational cannabis legalization status. METHODS: This study analyzed data from the first four waves (2013-2018) of the Population Assessment of Tobacco and Health Study, a nationally representative longitudinal survey. The study sample included adolescents (aged 12-17) who reported never used cannabis at baseline. Generalized estimating equations were used to analyze the effect modification of state recreational cannabis law on the association between baseline e-cigarette use and cannabis use at 12-month follow-up, controlling for individual characteristics. RESULTS: Among adolescents who have never used cannabis at baseline, baseline past-30-day e-cigarette use was significantly associated with past-30-day cannabis use at 12-month follow-up (aOR=5.92, 95% CI: 3.52-9.95). This association was different by state recreational cannabis legalization status, as indicated by the significant interaction term. Subgroup analysis showed that the aOR was 18.39 (95% CI: 4.25-79.68) for adolescents living in states that legalized adult recreational cannabis use and 5.09 (95% CI: 2.86-9.07) for adolescents living in states without such laws. CONCLUSIONS: E-cigarette use is associated with cannabis initiation among youth. This association is stronger among those living in states that legalized adult recreational cannabis use. Further examination of the impact of e-cigarette use on cannabis initiation in relation to state cannabis laws is warranted.

Effects of comprehensive intervention on life quality among the elderly with Alzheimer Disease and their caregivers based on mixed models.

AIMS: We conducted a multi-sectoral comprehensive intervention for elderly Alzheimer Disease patients and their caregivers to improve their quality of life. DESIGN: Randomized controlled trial. METHODS: From June to June in 2019, 150 Alzheimer Disease patients were randomly selected from a nursing home in Zhejiang province of China, they were randomly divided into the intervention group and the control group. And they were given comprehensive and routine interventions respectively for six months. We used mixed models in our analyses to see how outcomes changed over time and how they were affected by the intervention, which could also solve the problems of missing values and data correlation. RESULTS: After six months, compared with the control group, the communication ability, housework handling ability, self-care ability and life quality of the patients in the intervention group were improved, and the quality of life and caring ability of their caregivers were also significantly improved. CONCLUSION: The multi-sectoral collaborative care model proposed in this study integrated resources from several departments, effectively improved the quality of life of patients and their caregivers, and provided a way of care services for patients with Alzheimer Disease. IMPACT: Multi-sectoral comprehensive intervention would improve the life quality of elderly patients with Alzheimer Disease and their caregivers.

Diagnostic Model of Alzheimer's Disease in the Elderly Based on Protein and Metabolic Biomarkers.

BACKGROUND: With the accelerating aging process, the number of participants with Alzheimer's disease (AD) is rising sharply, causing a huge economic burden. OBJECTIVE: This study aimed to identify blood protein and metabolic biomarkers and explore the diagnostic model for AD among elderly in southeast China. METHODS: We established a cohort among population with high risk AD in Zhejiang Province in 2018. Case and control groups each consisting of 45 subjects, matched for gender and age, were randomly selected from the cohort. Based on bioinformatics research, PRM/MRM technology was used to detect candidate biomarkers. Ensemble-based feature selection and machine learning methods was used to screen important variables as risk indicators for AD. Based on the risk biomarkers, the risk diagnostic model of AD in the elderly was constructed and evaluated. RESULTS: Cystine and CPB2 were evaluated as biomarkers. The diagnostic model is constructed using logistic regression algorithm with the best cutoff value, sensitivity, specificity, and accuracy of 0.554, 0.895, 0.976, and 0.938, respectively, which determined by Youden's index. The results showed that the model with protein and metabolite had a high efficiency. CONCLUSION: It showed that the diagnostic model constructed by Cystine and CPB2 had a good performance on sample classification. This study was of great significance for the early screening and diagnosis of AD, timely intervention, control and delay the development of dementia in southeast China.

Role of Mental Health in the Association Between E-Cigarettes and Cannabis Use.

INTRODUCTION: E-cigarette use may be associated prospectively with subsequent cannabis use among U.S. adolescents. However, it remains unclear whether this association differs by individual mental health status. This longitudinal study examines effect modifications by mental health status. METHODS: The first 4 waves (2013-2017) of the Population Assessment of Tobacco and Health study were analyzed in 2020. Adolescents (aged 12-17 years) who reported never using cannabis at baseline waves were included. Waves 1-3 were each considered as baseline for their 12-month follow-up waves. Generalized estimating equations were used to evaluate the effect modification of internalizing mental health and externalizing mental health problems on the associations between baseline past 30-day e-cigarette use and past 30-day cannabis use at follow-up, controlling for individual characteristics and state recreational cannabis laws. RESULTS: Baseline e-cigarette use was significantly associated with cannabis use at follow-up (AOR=4.81, 95% CI=2.93, 7.90). Adolescents with high severity of internalizing mental health/externalizing mental health problems were significantly more likely to initiate cannabis use. However, current e-cigarette users who reported high severity of internalizing mental health symptoms were less likely to initiate cannabis use (AOR=2.51, 95% CI=0.92, 6.83) than those who reported low severity of internalizing mental health problems (AOR=8.84, 95% CI=4.19, 18.65). There were no differences by the severity of externalizing mental health problems. CONCLUSIONS: Baseline e-cigarette use and endorsement of severe internalizing mental health/externalizing mental health problems were significantly associated with subsequent cannabis use among U.S. adolescents. Efforts to reduce youth vaping and improve youth mental health could help curb cannabis initiation. Tailored interventions may be warranted for e-cigarette‒using adolescents with internalizing mental health problems.

Generalized anxiety disorder and resilience during the COVID-19 pandemic: evidence from China during the early rapid outbreak.

BACKGROUND: Generalized Anxiety Disorder (GAD) is a common but urgent mental health problem during disease outbreaks. Resilience buffers against the negative impacts of life stressors on common internalizing psychopathology such as GAD. This study assesses the prevalence of GAD and examines the protective or compensatory effect of resilience against worry factors during the COVID-19 outbreak. METHODS: A cross-sectional online survey was conducted among Chinese citizens aged ≥18 years from January 31 to February 2, 2020. A total of 4827 participants across 31 provinces and autonomous regions of the mainland of China participated in this study. The Generalized Anxiety Disorder scale (GAD-7), the Connor-Davidson Resilience Scale (CD-RISC), and a self-designed worry questionnaire were used to asses anxiety disorder prevalence, resilience level, and anxiety risk factors. Multivariable logistic regression was used to identify the associations of resilience and worry factors with GAD prevalence after controlling for other covariates. RESULTS: The prevalence of anxiety disorder was 22.6% across the 31 areas, and the highest prevalence was 35.4% in Hubei province. After controlling for covariates, the results suggested a higher GAD prevalence among participants who were worried about themselves or family members being infected with COVID-19 (adjusted odds ratio, AOR 3.40, 95%CI 2.43-4.75), worried about difficulty obtaining masks (AOR 1.92, 95%CI 1.47-2.50), worried about difficulty of distinguishing true information (AOR 1.65, 95%CI 1.36-2.02), worried about the prognosis of COVID-19 (AOR 2.41, 95%CI 1.75-3.33), worried about delays in working (AOR 1.71, 95%CI 1.27-.31), or worried about decreased income (AOR 1.45, 95%CI 1.14-1.85) compared with those without such worries. Additionally, those with a higher resilience level had a lower prevalence of GAD (AOR 0.59, 95%CI 0.51-0.70). Resilience also showed a mediating effect, with a negative influence on worry factors and thereby a negative association with GAD prevalence. CONCLUSION: It may be beneficial to promote public mental health during the COVID-19 outbreak through enhancing resilience, which may buffer against adverse psychological effects from worry factors.

Predictors of Willingness to Receive the COVID-19 Vaccine after Emergency Use Authorization: The Role of Coping Appraisal.

The current study aims to identify psychosocial factors based on protection motivation theory (PMT) influencing Chinese adults' willingness to receive the COVID-19 vaccine after the emergency use authorization of the New Coronavirus Inactivated Vaccine in China. A cross-sectional online survey was conducted among Chinese residents aged 18-59 years, and 2528 respondents from 31 provinces and autonomous regions were included in the current study. Based on PMT, threat appraisals and coping appraisals were measured. Hierarchical multiple regressions and multivariate logistic regressions were used to identify the relationships between the PMT constructs and vaccination willingness after other covariates were controlled for. A total of 1411 (55.8%) respondents reported being willing to receive the COVID-19 vaccine. The PMT model explained 26.6% (p < 0.001) of the variance in the vaccine willingness. The coping appraisals, including response efficacy, self-efficacy, and response costs, were significantly correlated with the willingness to receive the COVID-19 vaccine, and response efficacy was the strongest influencing factor (adjusted OR = 2.93, 95% CI: 2.42-3.54). In conclusion, the coping appraisals for vaccination, instead of threat appraisals regarding the pandemic itself, mainly influenced people's willingness to get vaccinated after the emergency use authorization of the COVID-19 vaccine in China. These findings are helpful for developing education and interventions to promote vaccination willingness and enhance public health outcomes during a pandemic.

Health Belief Model Perspective on the Control of COVID-19 Vaccine Hesitancy and the Promotion of Vaccination in China: Web-Based Cross-sectional Study.

BACKGROUND: The control of vaccine hesitancy and the promotion of vaccination are key protective measures against COVID-19. OBJECTIVE: This study assesses the prevalence of vaccine hesitancy and the vaccination rate and examines the association between factors of the health belief model (HBM) and vaccination. METHODS: A convenience sample of 2531 valid participants from 31 provinces and autonomous regions of mainland China were enrolled in this online survey study from January 1 to 24, 2021. Multivariable logistic regression was used to identify the associations of the vaccination rate and HBM factors with the prevalence of vaccine hesitancy after other covariates were controlled. RESULTS: The prevalence of vaccine hesitancy was 44.3% (95% CI 42.3%-46.2%), and the vaccination rate was 10.4% (9.2%-11.6%). The factors that directly promoted vaccination behavior were a lack of vaccine hesitancy (odds ratio [OR] 7.75, 95% CI 5.03-11.93), agreement with recommendations from friends or family for vaccination (OR 3.11, 95% CI 1.75-5.52), and absence of perceived barriers to COVID-19 vaccination (OR 0.51, 95% CI 0.35-0.75). The factors that were directly associated with a higher vaccine hesitancy rate were a high level of perceived barriers (OR 1.63, 95% CI 1.36-1.95) and perceived benefits (OR 0.51, 95% CI 0.32-0.79). A mediating effect of self-efficacy, influenced by perceived barriers (standardized structure coefficient [SSC]=-0.71, P<.001), perceived benefits (SSC=0.58, P<.001), agreement with recommendations from authorities (SSC=0.27, P<.001), and agreement with recommendations from friends or family (SSC=0.31, P<.001), was negatively associated with vaccination (SSC=-0.45, P<.001) via vaccine hesitancy (SSC=-0.32, P<.001). CONCLUSIONS: It may be possible to increase the vaccination rate by reducing vaccine hesitancy and perceived barriers to vaccination and by encouraging volunteers to advocate for vaccination to their friends and family members. It is also important to reduce vaccine hesitancy by enhancing self-efficacy for vaccination, due to its crucial mediating function.

Perceptions of e-cigarettes among smokers and non-smokers in households with children in rural China: A cross-sectional study.

INTRODUCTION: The perceived health benefits and effectiveness of electronic cigarettes (e-cigarettes) in quitting smoking may affect e-cigarette usage, however, research on the use of e-cigarettes among the Chinese, especially among the rural Chinse, is scarce. This study examined factors associated with perceptions of e-cigarette related harms, benefits, and addictiveness, among smoker and non-smoker households with children in rural China, to support the design of population-based interventions targeting rural Chinese households. METHODS: In a cross-sectional study design, using a structured questionnaire, we collected data from the household members of children in two selected rural communities in China. Descriptive analyses were used to characterize respondents; χ2 test and Fisher's exact probability test were used to compare the perceptions of e-cigarettes between different sociodemographic groups. Logistic regression was used to determine predictors for e-cigarette harms, benefits, and addictiveness, adjusting for demographic and other characteristics. RESULTS: The overall participation rate was 81% (1211/1498). Of the participants, 668 (55%) were smokers and 543 (45%) were non-smokers; 53% knew about e-cigarettes. Participants from rural Dali (77% vs 59%), those who were ethnic minority (76% vs 59%), those who perceived increased COPD risks from smoking (mean score 4.37 vs 4.18) and concerned about harmful effects of secondhand smoke (SHS) exposure to children (mean score 4.48 vs 4.30) and adults (mean score 4.06 vs 3.87) were more likely to believe that e-cigarettes were less harmful (p<0.05). Participants with more knowledge about the harm of smoking were more likely to believe that e-cigarettes were helpful in quitting smoking (p<0.05). Of those participants who knew about e-cigarettes, females (19%) were significantly more likely to believe that e-cigarettes are addictive than males (10%). In the logistic regression analyses, believing e-cigarettes are helpful to quit smoking was the only variable associated with holding a higher knowledge about smoking and SHS exposure (OR=0.608; 95% CI: 0.450-0.820). CONCLUSIONS: Our results showed that more than half of the rural household members who have a child at home were aware of e-cigarettes. Knowledge about health impacts of SHS exposure and perceptions about the benefits, harms and addictiveness of e-cigarette use varied among the participants, with a significant proportion of participants having wrong information. Public health campaigns to disseminate evidence-based information of e-cigarette benefits and harms are warranted. As knowledge about the harmfulness of smoking and SHS exposure was associated with perceived e-cigarette benefits, particular focus should be given to increasing knowledge about the health hazards related to smoking and SHS exposure.

How can the uptake of preventive behaviour during the COVID-19 outbreak be improved? An online survey of 4827 Chinese residents.

OBJECTIVES: The aims of this study were to assess the uptake of preventive behaviour during the COVID-19 outbreak and to investigate the factors influencing the uptake of preventive behaviour based on the theory of planned behaviour (TPB）. DESIGN, SETTING AND PARTICIPANTS: A cross-sectional online survey was conducted among Chinese residents aged ≥18 years and 4827 participants from 31 provinces and autonomous regions were included in the current study. Uptake of preventive behaviour, attitude towards the spread of COVID-19 and preventive behaviour, subjective norms, perceived behavioural control, demographic characteristics and the information attention and processing mode were measured. Multivariate logistic regressions were used to identify associations between the potential influencing factors and uptake of preventive behaviour. RESULTS: There were 2393 (52.8%) respondents reported high uptake of preventive behaviour. Multivariate analyses demonstrated that attitude towards the behaviour, subjective norms and perceived behavioural control were significantly correlated with uptake of preventive behaviour, and perceived behavioural control was the strongest influencing factor (OR=4.09, 95% CI 3.57 to 4.69). Furthermore, systematic information processing mode was positively associated with high uptake of preventive behaviour compared with heuristic information processing mode (OR=2.16, 95% CI 1.67 to 2.81). CONCLUSIONS: These findings are helpful for developing education and interventions to promote high uptake of preventive behaviour and enhance public health outcomes during pandemic.

Untargeted Urinary Metabolomics and Children's Exposure to Secondhand Smoke: The Influence of Individual Differences.

Children's exposure to secondhand smoke (SHS) is a severe public health problem. There is still a lack of evidence regarding panoramic changes in children's urinary metabolites induced by their involuntary exposure to SHS, and few studies have considered individual differences. This study aims to clarify the SHS-induced changes in urinary metabolites in preschool children by using cross-sectional and longitudinal metabolomics analyses. Urinary metabolites were quantified by using untargeted ultra high-performance liquid chromatography-mass spectrometry (UPLC(c)-MS/MS). Urine cotinine-measured SHS exposure was examined to determine the exposure level. A cross-sectional study including 17 children in a low-exposure group, 17 in a medium-exposure group, and 17 in a high-exposure group was first conducted. Then, a before-after study in the cohort of children was carried out before and two months after smoking-cessation intervention for family smokers. A total of 43 metabolites were discovered to be related to SHS exposure in children in the cross-sectional analysis (false discovery rate (FDR) corrected p < 0.05, variable importance in the projection (VIP) > 1.0). Only three metabolites were confirmed to be positively associated with children's exposure to SHS (FDR corrected p < 0.05) in a follow-up longitudinal analysis, including kynurenine, tyrosyl-tryptophan, and 1-(3-pyridinyl)-1,4-butanediol, the latter of which belongs to carbonyl compounds, peptides, and pyridines. Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis indicated that 1-(3-pyridinyl)-1,4-butanediol and kynurenine were significantly enriched in xenobiotic metabolism by cytochrome P450 (p = 0.040) and tryptophan metabolism (p = 0.030), respectively. These findings provide new insights into the pathophysiological mechanism of SHS and indicate the influence of individual differences in SHS-induced changes in urinary metabolites in children.

Design Features for Improving Mobile Health Intervention User Engagement: Systematic Review and Thematic Analysis.

BACKGROUND: Well-designed mobile health (mHealth) interventions support a positive user experience; however, a high rate of disengagement has been reported as a common concern regarding mHealth interventions. To address this issue, it is necessary to summarize the design features that improve user engagement based on research over the past 10 years, during which time the popularity of mHealth interventions has rapidly increased due to the use of smartphones. OBJECTIVE: The aim of this review was to answer the question "Which design features improve user engagement with mHealth interventions?" by summarizing published literature with the purpose of guiding the design of future mHealth interventions. METHODS: This review followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) checklist. Databases, namely, PubMed, Web of Science, Cochrane Library, Ovid EMBASE, and Ovid PsycINFO, were searched for English and Chinese language papers published from January 2009 to June 2019. Thematic analysis was undertaken to assess the design features in eligible studies. The Mixed Methods Appraisal Tool was used to assess study quality. RESULTS: A total of 35 articles were included. The investigated mHealth interventions were mainly used in unhealthy lifestyle (n=17) and chronic disease (n=10) prevention programs. Mobile phone apps (n=24) were the most common delivery method. Qualitative (n=22) and mixed methods (n=9) designs were widely represented. We identified the following 7 themes that influenced user engagement: personalization (n=29), reinforcement (n=23), communication (n=20), navigation (n=17), credibility (n=16), message presentation (n=16), and interface aesthetics (n=7). A checklist was developed that contained these 7 design features and 29 corresponding specific implementations derived from the studies. CONCLUSIONS: This systematic review and thematic synthesis identified useful design features that make an mHealth intervention more user friendly. We generated a checklist with evidence-based items to enable developers to use our findings easily. Future evaluations should use more robust quantitative approaches to elucidate the relationships between design features and user engagement.