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Objectives We examine the relationship between social isolation, poor health behaviors, and the perceived worsening of older adults' health behaviors following the coronavirus outbreak. We assess the extent to which psychological pathways mediate the relationship between social isolation and worsening health behaviors. Methods Drawing on data from the National Social Life Health and Aging Project Round 3 (2015) and its coronavirus immune disease 2019 (COVID-19) substudy (2020; N = 2,549), we use generalized linear models to explore how indicators of social isolation during the COVID-19 pandemic—infrequent in-person contact with friends and family in 2020 and decreased in-person contact with friends and family since COVID-19 started—are associated with (1) poor health behaviors (low physical activity, drinks per week, smoking, and poor sleep) in 2020 and (2) perceived worsening of health behaviors (reports of decreased physical activity, increased drinking and smoking, and feeling less rested) since the pandemic started. Results Infrequent in-person contact was not associated with poor health behaviors. Decreases in in-person contact, on the other hand, were associated with worsening health behaviors. Older adults who reported decreases in in-person contact were more likely to perceive a decrease in physical activity, an increase in drinking, and feeling less rested. Emotional well-being, particularly loneliness compared to anxiety or depressive feelings, partially mediated the relationship between perceived worsening of health behaviors and a decrease in in-person contact with friends, and to a lesser extent, with family. Discussion Our study suggests that in-person contact may play a distinct role in shaping older adults' well-being during the pandemic. [ABSTRACT FROM AUTHOR]

Objectives: Using nationally representative data among U.S. adults, we assess age differences in changes in mental health both from 2018 to May 2020 and during the pandemic. We also examine factors explaining age differences in mental health. Methods: We analyzed 2018 General Social Survey data (N = 2,348; age 18–89) and three waves of COVID Response Tracking Study data (N = 2,279; age 20–94) spanning May–August 2020. Outcomes included happiness, loneliness, stress, positive affect, and negative affect. Results: U.S. adults reported greater loneliness and less happiness in May 2020 versus 2018. Only loneliness and negative affect changed significantly from May to August 2020, showing declines. Mental health trajectories did not differ significantly by age. Overall, older adults reported lower loneliness, stress, and negative affect than younger adults during 2020. Older age was associated with two factors linked with better mental health: less likelihood of COVID-19 exposure and greater satisfaction with social activities and relationships. However, none of the factors examined herein explained age differences in mental health. Conclusion: Although mental health trajectories during the pandemic were similar across ages, older adults tended to report better mental health than younger adults. Future research should identify factors that explain age differences in mental health that persisted into 2020. [ABSTRACT FROM AUTHOR]

The authors report on the effectiveness of remote contact on the mental health of older people. They mention the impact of the COVID-19 pandemic on social contact for older people, the use of telecommunication to replace in-person visits, and whether such contact was able to protect mental health.

Objectives To assess levels of two types of anti-fat bias in obesity specialists, explicit bias, or consciously accessible anti-fat attitudes, and implicit bias, or attitudes that are activated outside of conscious awareness, were examined. This study also assessed changes over time by comparing levels of bias in 2013 to published data from 2001. Methods In 232 attendees at the ObesityWeek 2013 conference, we measured explicit anti-fat bias and conducted the Implicit Association Test. These data were compared to those from a study conducted at the 2001 meeting of this group. Results Participants exhibited significant implicit and explicit anti-fat/pro-thin bias. Positivity of professional experience with obesity, but not type of professional experience, was correlated with lower explicit anti-fat bias. Compared to 2001, the 2013 sample had lower levels of implicit bias and higher levels of explicit bias. Conclusions Although implicit anti-fat attitudes appeared to decrease from 2001 to 2013, explicit anti-fat attitudes increased. Future research should examine whether increasing positive experiences with obese patients reduces anti-fat bias among health professionals. Together, these results suggest that despite the current climate of widespread anti-fat bias, there are pathways toward understanding and ameliorating this bias. [ABSTRACT FROM AUTHOR]

Cardiovascular disease (CVD) remains the leading cause of death globally. Seven health factors are associated with ideal cardiovascular health: being a non-smoker; not overweight; physically active; having a healthy diet; and normal blood pressure; fasting plasma glucose and cholesterol. Whereas approximately half of U.S. youth have ideal levels in at least 5 of the 7 components of cardiovascular health, this proportion falls to 16% by adulthood. We will evaluate whether the NUYou cardiovascular mHealth intervention is more effective than an active comparator to promote cardiovascular health during the transition to young adulthood. 302 incoming freshmen at a midwest university will be cluster randomized by dormitory into one of two mHealth intervention groups: 1) Cardiovascular Health (CVH), addressing behaviors related to CVD risk; or 2) Whole Health (WH), addressing behaviors unrelated to CVD. Both groups will receive smartphone applications, co-designed with students to help them manage time, interact with other participants via social media, and report health behaviors weekly. The CVH group will also have self-monitoring features to track their risk behaviors. Cardiovascular health will be assessed at the beginning of freshman year and the end of freshman and sophomore years. Linear mixed models will be used to compare groups on a composite of the seven cardiovascular-related health factors. This is the first entirely technology-mediated multiple health behavior change intervention delivered to college students to promote cardiovascular health. Findings will inform the potential for primordial prevention in young adulthood. Trial Registration Number: clinicaltrials.gov # NCT02496728 [ABSTRACT FROM AUTHOR]