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Many people eat unhealthy foods that are high in calories, fat, or sugar when feeling stressed, yet little is known about whether this unhealthy comfort eating actually comforts. Additionally, prior research has not tested whether healthy comfort eating of fruits and vegetables might also alleviate stress, or whether comfort eating during the stress anticipation phase versus immediately after a stressful event is more beneficial for stress relief. The present experiment tested whether unhealthy and healthy comfort eating reduce acute psychophysiological responses to a socially evaluative stressor. Participants (N = 150 healthy women) underwent the Trier Social Stress Test in the lab and were randomly assigned to one of five conditions according to a 2 (food type: unhealthy vs. healthy) x 2 (eating timing: during stress anticipation vs. after the stressor) + 1 (no food control) between-subjects design. Stress outcomes included mood, cognitive appraisals, rumination, salivary cortisol, heart rate variability, and pre-ejection period. Unhealthy and healthy comfort eating did not dampen reactivity or enhance recovery of psychophysiological stress compared to control, and no differences in reactivity or recovery were found by comfort food type. Findings suggest that by replacing unhealthy comfort foods with fruits and vegetables, women will not be sacrificing any stress-reducing benefits and can inherently improve the quality of their diet while avoiding potential drawbacks of unhealthy comfort eating (e.g., links with abdominal obesity).

Time spent sitting is associated with negative health outcomes, motivating some individuals to adopt standing desk workstations. This study represents the first investigation of the effects of standing desk use on reading comprehension and creativity. In a counterbalanced, within-subjects design, 96 participants completed reading comprehension and creativity tasks while both sitting and standing. Participants self-reported their mood during the tasks and also responded to measures of expended effort and task difficulty. In addition, participants indicated whether they expected that they would perform better on work-relevant tasks while sitting or standing. Despite participants' beliefs that they would perform worse on most tasks while standing, body position did not affect reading comprehension or creativity performance, nor did it affect perceptions of effort or difficulty. Mood was also unaffected by position, with a few exceptions: Participants exhibited greater task engagement (i.e., interest, enthusiasm, and alertness) and less comfort while standing rather than sitting. In sum, performance and psychological experience as related to task completion were nearly entirely uninfluenced by acute (~30-min) standing desk use.

Little is known about whether comfort eating actually functions to reduce psychological stress. In addition, the effectiveness of comfort eating may be particularly relevant in the context of depression, but no study has tested whether comfort eating processes might depend on severity of depressive symptomology. This study tested 1) whether greater comfort eating statistically buffers the relationship between adverse life events and perceived psychological stress at age 18-19, and 2) whether potential stress-buffering effects may differ by level of depressive symptoms. These relationships were examined in the NHLBI Growth and Health Study, comprising 2379 young adult women. Participants self-reported experiences with adverse life events, their perceived psychological stress, and whether they tended to eat more while experiencing certain negative emotions. As hypothesized, the relationship between adverse life events and perceived stress depended on comfort eating status (p = .033). The effect of adverse events on perceived stress was attenuated among comfort eaters compared to non-comfort eaters (p = .004), but this buffering effect was not shown in participants with an elevated level of depressive symptoms. In conclusion, among young adult women without high depressive symptoms, comfort eaters may experience reduced perceived stress compared to those who do not engage in this behavior. Intervention researchers should also consider the possible benefits of comfort eating.

Laboratory research has found that individuals will consume more calories and make unhealthy food choices when in the presence of an overweight individual, sometimes even regardless of what that individual is eating. This study expanded these laboratory paradigms to the field to examine how weight salience influences eating in the real world. More specifically, we tested the threshold of the effect of weight salience of food choice to see if a more subtle weight cue (e.g., images) would be sufficient to affect food choice. Attendees (N = 262) at Obesity Week 2013, a weight-salient environment, viewed slideshows containing an image of an overweight individual, an image of a thin individual, or no image (text only), and then selected from complimentary snacks. Results of ordinal logistic regression analysis showed that participants who viewed the image of the overweight individual had higher odds of selecting the higher calorie snack compared to those who viewed the image of the thin individual (OR = 1.77, 95% CI = [1.04, 3.04]), or no image (OR = 2.42, 95% CI = [1.29, 4.54]). Perceiver BMI category did not moderate the influence of image on food choice, as these results occurred regardless of participant BMI. These findings suggest that in the context of societal weight salience, weight-related cues alone may promote unhealthy eating in the general public.

Laboratory research has found that individuals will consume more calories and make unhealthy food choices when in the presence of an overweight individual, sometimes even regardless of what that individual is eating. This study expanded these laboratory paradigms to the field to examine how weight salience influences eating in the real world. More specifically, we tested the threshold of the effect of weight salience of food choice to see if a more subtle weight cue (e.g., images) would be sufficient to affect food choice. Attendees (N = 262) at Obesity Week 2013, a weight-salient environment, viewed slideshows containing an image of an overweight individual, an image of a thin individual, or no image (text only), and then selected from complimentary snacks. Results of ordinal logistic regression analysis showed that participants who viewed the image of the overweight individual had higher odds of selecting the higher calorie snack compared to those who viewed the image of the thin individual (OR = 1.77, 95% CI = [1.04, 3.04]), or no image (OR = 2.42, 95% CI = [1.29, 4.54]). Perceiver BMI category did not moderate the influence of image on food choice, as these results occurred regardless of participant BMI. These findings suggest that in the context of societal weight salience, weight-related cues alone may promote unhealthy eating in the general public.

ObjectivesTo 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.MethodsIn 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.ResultsParticipants 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.ConclusionsAlthough 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.

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.

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]