Child physical activity, sugar-free beverage consumption, and screen time improved in both groups over the course of the trial. Only the theory-based intervention was efficacious in increasing child FV consumption. The EMPOWER program was robust for inducing change in the home environment leading to an increase in child FV intake (Cohen's f = 0.160).

BackgroundMany studies have examined the association between socioeconomic status (SES) and mental stress. Uncertainty stress is a prominent aspect of mental stress. Yet no research has ever empirically analyzed the impact of SES on uncertainty stress.MethodsStudents were identified through a multistage survey sampling process including 50 universities. Each student participant completed the Global Health Professions Student Survey (GHPSS) on Tobacco Control in China. Regional variables were retrieved from the National Bureau of Statistics database. Both unadjusted and adjusted methods were considered in the analyses.ResultsAmong the 11,942 participants, severe uncertainty stress prevalence was 19.6%, while severe life stress prevalence was 8.6%. Multilevel logistic regression showed that most SES variables were associated with uncertainty stress. Students with “operation and commercial work” as mother’s occupation and “rural or township” as family location exhibited a higher prevalence of severe uncertainty stress. Lower family income and original region gross domestic products (GDP) were also associated with higher severe uncertainty stress prevalence. However, only father’s occupation was correlated with life stress.ConclusionsBased on the literature review, this is the first empirical study examining the impact of SES on uncertainty stress in China and elsewhere in the world. Our research underscores the importance of decreasing socioeconomic inequalities in controlling excessive uncertainty stress.

Objectives: This study aimed to examine the relationships between the types of stress and students' mental health, to distinguish the effects of stressors on mental health problems, and to explore the important role of uncertainty stress on the development of mental disorders in a nationally representative sample of Chinese college students. Methods: A cross-sectional multistage study was conducted. Participants were 11,954 students, who were recruited from 50 Chinese universities located in 43 cities covering 23 provinces, autonomous regions, and municipalities across China. The Student Daily Stress Questionnaire (SDSQ) was applied to measure the different types of stress, and mental health status was measured using the 12-item Chinese Health Questionnaire (CHQ). Both unadjusted and adjusted logistic regression models were utilized in the statistical analyses. Multilevel analyses were performed to examine the variation of mental disorder at both the individual and university levels. Results: The prevalence of mental disorders was 22.8% (95% CI: 22.0-23.5%). The unadjusted models showed that age, gender, grade, major, and university location and type were the correlates of mental disorders among students. The unadjusted models developed in this research found that study stress, life stress, and uncertainty stress were positively associated with mental disorder. The multilevel logistic regression models showed that uncertainty stress was far more likely to result in students' mental disorders than study or life stress after controlling for university level. The greater the perceived uncertainty stress, the higher the prevalence of mental disorders. Conclusion: This study provides robust evidence of the impact of uncertainty stress on mental disorders among college students. Compared with life and study stress, more attention should be given to uncertainty stress. The information from this study should be helpful when considering effective mental health policies and interventions among college students in China.

This study determined the role of social support, hardiness, and acculturation as predictors of mental health among international Asian Indian students enrolled at two large public universities in Ohio. A sample of 185 students completed a 75-item online instrument assessing their social support levels, acculturation, hardiness, and their mental health. Regression analyses were conducted to test for variance in mental health attributable to each of the three independent variables. The final regression model revealed that the belonging aspect of social support, acculturation and prejudice of acculturation scale, and commitment and control of hardiness were all predictive of mental health (R2 = 0.523). Recommendations have been offered to develop interventions that will help strengthen the social support, hardiness, and acculturation of international students and help improve their mental health. Recommendations for development of future Web-based studies also are offered.

While many studies have examined factors associated with overweight and obesity among college students, no study has yet compared gender differences influencing overweight and obesity using a multilevel framework. The present study examines different influences on overweight and obesity between men and women at both individual and environmental levels. Participants were 11,673 college students identified through a multistage survey sampling process conducted in 50 Chinese universities. The prevalence of overweight and obesity was 9.5% (95% CI [7.7, 11.3]) in the overall study sample, 13.9% (95% CI [11.5, 16.7]) in males and 6.1% (95% CI [4.1, 8.1]) in females, respectively. We found that higher family income, perceived life stress, home region GDP, and university city unemployment were associated with higher overweight and obesity levels in males, independent of other individual- and city-level covariates. However, unlike male students, only unemployment was associated with overweight and obesity among females. Our research indicates Chinese males are more susceptible to overweight and obesity, and are more easily influenced by external variants than Chinese females. This information should be considered in formulating gender-specific policies and designing and implementing effective interventions to reduce the prevalence of overweight and obesity among young adult male college students.