The relationship between health-promoting behaviors and negative emotions in college freshmen: a cross-lagged analysis.

Background: The prevalence of mental health issues has been gradually increasing among college students in recent years. Improvements in mental health can be achieved through changes in daily behavior and the use of psychological counseling. This study aims to investigate the relationship between health-promoting behaviors and negative emotions among college freshmen as they enter the university. It also examines the impact of various sub-dimensions of health-promoting behaviors and other factors on the negative emotions (stress, anxiety, and depression) experienced by college freshmen. Methods: Using the Negative Emotion and Health-Promoting Behavior scales, a 7-month longitudinal study was conducted on 4,252 college freshmen, with collection of data at two time points (T1: November 12, 2021; T2: June 17, 2022). Out of this longitudinal study, 3,632 valid samples were obtained. This research aimed to explore the association and impact between negative emotions and the level of health-promoting behaviors among college students during their time at the university. Results: ① There were significant differences in the levels of health-promoting behaviors and negative emotions over the course of 7 months (P < 0.05). Health-promoting behaviors were found to have a significant negative correlation with negative emotions (P < 0.05). ② Negative emotions at T1 significantly negatively predicted health-promoting behaviors at T2 (ß = -0.11, P < 0.01), while health-promoting behaviors at T1 significantly negatively predicted negative emotions at T2 (ß = -0.12, P < 0.001). ③ Stress management (ß = -0.104, P < 0.05; ß = -0.087, P < 0.05), self-actualization (ß = -0.282, P < 0.01; ß = -0.260, P < 0.05), health responsibility (ß = -0.057, P < 0.05; ß = -0.088, P < 0.05), and interpersonal relations (ß = 0.068, P < 0.01; ß = 0.138, P < 0.05) were important components in improving stress and anxiety. Self-actualization (ß = -0.437, P < 0.001), exercise (ß = 0.048, P < 0.001), nutrition (ß = 0.044, P < 0.001), and interpersonal relations (ß = 0.065, P < 0.001) were important components in improving depression. ④ Gender, place of household registration, and whether the individual is the only child were significant factors affecting negative emotions in college freshmen. Conclusion: The level of health-promoting behaviors is an important indicator for assessing the negative emotional states of college freshmen. Enhancing health-promoting behaviors across various dimensions can help alleviate different types of negative emotions. Gender, place of household registration, and being the only child are significant factors that influence negative emotions.

Exploring the impact of computer game playing on cognitive function, Alzheimer's disease risk, and brain-derived neurotrophic factor levels: Basic evidence from Mendelian randomization.

Introduction: The potential positive impact of computer game playing on cognitive function and its potential role in reducing the risk of Alzheimer's disease (AD) has been suggested. However, current observational studies have certain limitations. We utilized Mendelian randomization (MR) alongside extensive genome-wide association study (GWAS) data to examine the relationship between computer game playing, cognitive function, risk of AD, and levels of brain-derived neurotrophic factor (BDNF). Methods: We collected datasets on computer game playing, cognition function, risk of AD, and BDNF level from the IEU Open GWAS project. Causal effects were assessed using various MR methods, including inverse variance weighted (IVW), weighted median, MR-Egger, simple mode, and weighted mode. To ensure the accuracy of the results, sensitivity analyses were conducted. Results: Our analysis revealed a significant association between computer game playing and cognitive function (ß = 0.801, 95% CI: 0.351, 1.328, P = 0.001). There was no statistically significant association between computer game playing and either BDNF level or risk of AD (ß = -0.112, 95%CI: -1.315, 1.091, P = 0.855; OR = 1.000, 95% CI: 1.004, 0.997, P = 0.891, respectively). We further confirmed the reliability of our evidence through the MR-Egger intercept test, MR-PRESSO global test, Cochran's Q test, and funnel plots. Conclusion: The results of our study indicate that engaging in computer game playing may confer a safeguarding influence on cognitive function. This underscores the potential advantages associated with computer gaming. Nevertheless, given the constraints inherent in our research, further investigation is warranted to substantiate our findings and delve into the underlying mechanisms.

Testing the mediatory role of kinesiophobia in the association between perceived greenspace and physical activity among individuals with chronic low back pain.

To test the mediatory role of kinesiophobia between greenspace and physical activity, we conducted a cross-sectional survey and recruited 801 participants with chronic low back pain. The level of greenspace was assessed using both perceived greenspace and the Normalized Difference Vegetation Index (NDVI). The frequency of walking and moderate and vigorous physical activities was measured using a brief assessment, while kinesiophobia was evaluated using the 11-item Tampa Scale for Kinesiophobia (TSK-11). The results revealed that perceived greenspace was positively associated with all measured physical activities, and was negatively associated with kinesiophobia. Meanwhile, NDVI was only positively associated with moderate and vigorous physical activity. Kinesiophobia played a marginal but significant mediating role in the association of perceived greenspace with walking, moderate physical activity, and vigorous physical activity. In conclusion, our findings offer early evidence of associations and pathways between greenspace and physical activity among individuals with chronic low back pain.

A data-adaptive method for investigating effect heterogeneity with high-dimensional covariates in Mendelian randomization.

BACKGROUND: Mendelian randomization is a popular method for causal inference with observational data that uses genetic variants as instrumental variables. Similarly to a randomized trial, a standard Mendelian randomization analysis estimates the population-averaged effect of an exposure on an outcome. Dividing the population into subgroups can reveal effect heterogeneity to inform who would most benefit from intervention on the exposure. However, as covariates are measured post-"randomization", naive stratification typically induces collider bias in stratum-specific estimates. METHOD: We extend a previously proposed stratification method (the "doubly-ranked method") to form strata based on a single covariate, and introduce a data-adaptive random forest method to calculate stratum-specific estimates that are robust to collider bias based on a high-dimensional covariate set. We also propose measures based on the Q statistic to assess heterogeneity between stratum-specific estimates (to understand whether estimates are more variable than expected due to chance alone) and variable importance (to identify the key drivers of effect heterogeneity). RESULT: We show that the effect of body mass index (BMI) on lung function is heterogeneous, depending most strongly on hip circumference and weight. While for most individuals, the predicted effect of increasing BMI on lung function is negative, it is positive for some individuals and strongly negative for others. CONCLUSION: Our data-adaptive approach allows for the exploration of effect heterogeneity in the relationship between an exposure and an outcome within a Mendelian randomization framework. This can yield valuable insights into disease aetiology and help identify specific groups of individuals who would derive the greatest benefit from targeted interventions on the exposure.

Socioecological influencers of health-promoting lifestyles in Chinese: a preliminary survey using convenient samples.

Background: Healthy lifestyles are considered important means to reduce the burden of diseases. This cross-sectional study was conducted based on the Ecological Model of Health Behavior (EMHB) to analyze the factors associated with the health-promoting lifestyles of Chinese residents. Methods: We carried out a cross-sectional investigation in July 2023. Our investigated factors included social-demographic characteristics (including sex, age, education level, employment status, marital status, personal monthly income, and daily behavioral habits [which were measured by a questionnaire)], health literacy [which was measured by the Chinese version of the Health Literacy Scale Short-Form scale (HLS-SF12)], and family health [which was measured by the Chinese version of the Short-Form of the Family Health Scale (FHS-SF)]. Our outcome was health promoting lifestyle, which was measured by a revised version of Health Promoting Lifestyle Profile-II (HPLP-IIR). Data were analyzed using stepwise regression. Results: A total of 1,402 participants were enrolled. Higher scores of HLS-SF12 (ß = 0.467), having regular exercise (ß = 0.212), and regular physical examination (ß = 0.088) were associated with better health-prompting lifestyles. However, older age (≥60 years) (ß = -0.046), drinking (ß = -0.066), and sleeping time (5-6 h/day) (ß = -0.048) were associated lower levels of health-prompting lifestyles. Living with family (ß = 0.077), FHS-SF (ß = 0.104), and married (ß = -0.077) were significant influencers. Unemployed (ß = -0.048), receiving retirement pay (ß = -0.053), and economic support provided by parents (ß = 0.094) were associated with better health-prompting lifestyles. There were multiple influencing factors of the six dimensions of the HPLP-IIR. Our findings indicate that community residents with higher health literacy, better family health, and health-related behaviors tend to have better health-promoting lifestyles. Conclusion: Our findings have confirmed the complex impacts of social-ecological factors on health-promoting lifestyles, which may help policy makers with health-promotion strategies making and also help researchers to control for confounding in study design.