ObjectiveThe level of health literacy is one of the important factors affecting health outcomes. Family is an important place to shape personality traits, and people with different personalities will adopt different lifestyles, which will lead to variations in health outcomes. Therefore, this article aims to explore the relationship between health literacy and personality and its influencing factors in different family structures.MethodsThis was a cross-sectional study with 1,406 individuals. A questionnaire was utilized to measure health literacy, personality and demographic variables, including family structure. Canonical correlation analysis (CCA) and hierarchical multiple regression analysis were used to examine the relation between health literacy and personality traits between two types of family structure.ResultsCCA showed that the canonical correlation coefficients were 0.309 (p < 0.001) and 0.347 (p < 0.001), in two-parent family and single-parent family, respectively. The openness of personality traits exhibited the highest correlation with health literacy. Compared with the remaining personality traits, openness yielded the strongest effect (β = 0.485 and β = 0.830) in two types of family structure, respectively. Education and monthly income were significantly associated with health literacy.ConclusionOur results support the relation between health literacy and personality traits in two types of family structure.

INTRODUCTION Multi-morbidity is a public health priority as it is associated with an increased risk of mortality and a substantial healthcare burden. Smoking is considered a predisposing factor for multi-morbidity, but evidence for an association between multi-morbidity and nicotine dependence is insufficient. This study aimed to explore the association between smoking status, nicotine dependence, and multi-morbidity in China. METHODS We recruited 11031 Chinese citizens from 31 provinces in 2021 using a multistage stratified cluster sampling strategy to ensure the study population represented national population characteristics. The association between smoking status and multi-morbidity was analyzed using binary logistic regression and multinomial logit regression models. We then analyzed the associations between four kinds of smoking status (age at smoking initiation, cigarette consumption per day, smoking when ill in bed, and inability to control smoking in public places), nicotine dependence, and multi-morbidity among participants who were current smokers. RESULTS Compared with non-smokers, the odds of multi-morbidity were higher among ex-smokers (adjusted odd ratio, AOR=1.40, 95% CI: 1.07-1.85). The risk of multi-morbidity was greater in participants who were underweight/overweight/ obese (AOR=1.90; 95% CI: 1.60-2.26) compared with those who were normal weight. and also greater for drinkers (AOR=1.34; 95% CI: 1.09-1.63) than nondrinkers. Compared with children who began smoking at the age of <15 years, participants aged >18 years had a lower likelihood of multi-morbidity (AOR=0.52; 95% CI: 0.32-0.83). People who consumed ≥31 cigarettes per day (AOR=3.77; 95% CI: 1.47-9.68) and those who smoked when ill in bed (AOR=1.70; 95% CI: 1.10-2.64) were more likely to have multi-morbidity. CONCLUSIONS Our findings show that smoking behavior, including initiation age, frequency of daily smoking, and still smoking during illness or in public, is a critical risk factor for multi-morbidity, especially when combined with alcohol consumption, physical inactivity, and abnormal weight (underweight, overweight, or obese). This highlights the crucial effect of smoking cessation in the prevention and control of multi-morbidity, especially in patients with three or more diseases. Implementing smoking and lifestyle interventions to promote health would both benefit adults and prevent the next generation from initiating habits that increase the risk of multi-morbidity.

Purpose: To investigate and understand the satisfaction and awareness of physical education among college students in Guangzhou during the outbreak of the novel coronavirus pneumonia. Methods: Using mathematical statistics, a survey of 1,056 students in some universities in Guangzhou was conducted. Results: In the satisfaction survey, the top three columns are: physical education teachers' teaching ability, with an average score of 4.51±0.72; teaching atmosphere and content, with an average score of 4.46±0.72; physical education class performance evaluation, 4.41±0.78. In sports awareness, the three items of sports identity, sports responsibilities and obligations, and sports rights are relatively high, which are 4.48±0.74, 4.21±0.87, and 4.19±0.87 respectively. College students generally agree with the importance of physical education. There is a certain difference in physical education class satisfaction in terms of gender. Analyze the relationship between college students' sports class satisfaction and college students' sports awareness, where: r=0.773, P=0.001 shows a positive correlation trend. Father's physical health, residence and personal physical health are the main factors affecting college students' physical education satisfaction. Personal physical condition, gender and place of residence are the main factors affecting college students' sports awareness. Recommendations: The author recommends starting from the four levels of individuals, families, teachers, and schools to promote the improvement of college students' satisfaction with physical education, improve their sports awareness, and help college students develop exercise habits during the epidemic, laying a foundation for lifelong physical education and health China makes its own contribution.

BackgroundThe prevalence of e-cigar among adolescents and young adults around the world is increasing rapidly, which has a serious impact on the health of young people. This study assessed the prevalence of e-cigar among college students and to explore the relationship between e-cigar use and personality traits.MethodsThis study conducted an electronic questionnaire survey on college students who were from three undergraduate universities and three junior colleges in Guangdong Province from January 2022 to March 2022. The survey was conducted by stratified cluster sampling, and the respondents were 1362. Statistical descriptions are used to describe the demographic characteristics and personality traits of participants. Mann-Whitney U tests, and Chi-square tests were used to compare the differences between current e-cigar users and non e-cigar users. Two-step hierarchical Logistic regression was used to predict the associated factors with e-cigar use.ResultsThe prevalence of current e-cigar users was 5.1%. Agreeableness showed statistically significant higher in non-users (Z = 2.585, P &lt; 0.01). Moreover, gender (AOR = 0.312, 95%CI: 0.174–0.562), the relationship with mother (AOR = 5.887, 95%CI: 1.460–23.748), friends who use e-cigar (AOR = 3.808, 95%CI: 2.159–6.719), allowance per month (AOR = 2.482, 95%CI: 1.371–4.490), and agreeableness (AOR = 0.957, 95%CI: 0.918–0.997) were related to the use of e-cigar.ConclusionThe level of agreeableness is associated with the use of e-cigar among college students. All these provided an important theoretical basis for future intervention.