Purpose: Flourishing and mental health in the prediction of health behaviors such as exercise has been understudied. Positive emotions may promote, and negative emotions hinder protective health behaviors; however, the direction of these associations is unclear. The objective here was to investigate possible associations prospectively. Design: Longitudinal cohort study. Setting: National Sample: The Biopsychosocial Religion and Health Study of Seventh-day Adventists provided longitudinal data from 2006 to 2007 and 2010 to 2011 (n = 5789). Measures: Flourishing was based on 6 measures of social functioning (positive social exchanges, negative social exchanges, religious emotional support given, received, and anticipated, and negative interactions) and 4 measures of psychological functioning (mastery, self-esteem, spiritual meaning, and perceived stress). The positivity ratio was the ratio of positive to negative emotions assessed with the Positive and Negative Affect Schedule. Analysis: Linear multiple regression and mediation. Results: Flourishing worked indirectly through the positivity ratio to predict a later increase in exercise over the course of 3 to 5 years. Tests of mediation suggest that the association of flourishing with later exercise was indirect through an increased ratio of positive to negative affect. Initial exercise frequency was also associated with later improved flourishing and positivity ratio scores over the same period. Conclusion: The association of mental health and exercise is likely bidirectional. Exercise improves mental health, and those that have better psychosocial functioning have better mood and are more likely to increase exercise behaviors over time. Exercise is likely integral to mental health in mid to late life.

Aims:Limited to no literature exists on the association among sleep quality, obesity and depression in pediatric populations. This study aims to explore this association by examining the sleep quality of children and adolescents before and after a twelve-week comprehensive multidisciplinary pediatric obesity program.Methods:Archival data from the pediatric obesity program included 71 children ages 6-17 (M=10.24, SD=2.74 ) who had been assessed pre and post intervention using the Children's Depression Inventory (CDI), a Sleep Questionnaire, and physician derived Body Mass Index (BMI). On all measures, higher scores indicate presence of symptoms of depression, sleep difficulties, or obesity.Results:High scores on the CDI proved to predict poor sleep quality both at intake and exit. Hierarchical regression exhibited change in BMI from intake to exit and predicted sleep quality. As BMI decreased from intake to exit, sleep quality increased.Conclusions:The current study suggests that sleep quality is influenced by the level of depression in children and adolescents both at pre and post intervention measures. Both depression and BMI influenced sleep quality. When the effect of BMI was accounted for, depression significantly predicted sleep quality. The more depressed children/adolescents reported to be, the lower their quality of sleep. Thus, this study suggests the importance of sleep and depression in the treatment of pediatric obesity. This research supports the importance of a multidisciplinary approach to addressing pediatric obesity.

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