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The Impact of COVID-19 Stay-At-Home Orders on Health Behaviors in Adults.
Flanagan, EW, Beyl, RA, Fearnbach, SN, Altazan, AD, Martin, CK, Redman, LM
Obesity (Silver Spring, Md.). 2021;29(2):438-445
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In response to the global outbreak of COVID-19, a wave of quarantine and stay-at-home mandates were issued to attenuate the rapid worldwide spread. The aim of this study was to quantify changes in habitual dietary behaviours, physical activity, sleep, sedentary behaviours, and mental health before and during the initial peak of the COVID-19 pandemic. This study is based on an anonymous survey via paid advertisements on the social media platform Facebook. A total of 7,753 completed the first COVID-19 question and were thus included in the analysis. Results indicate that: - declines in healthful eating behaviours were coincident with reductions in physical activity. These negative behaviours were characteristic of individuals reporting weight gain in response to the pandemic outbreak. - anxiety scores nearly doubled in response to the pandemic and 20% of the sample reported that symptoms were severe enough to interfere with daily routines. - home confinement led to shifts in daily work and household responsibilities which resulted in mental health declines alongside some positive and many negative changes to health behaviours. Authors conclude that with increased cases of weight gain and significant declines to mental health, COVID-19 may impact clinical practice for years to come.
Abstract
OBJECTIVE Stay-at-home orders in response to the coronavirus disease 2019 (COVID-19) pandemic have forced abrupt changes to daily routines. This study assessed lifestyle changes across different BMI classifications in response to the global pandemic. METHODS The online survey targeting adults was distributed in April 2020 and collected information on dietary behaviors, physical activity, and mental health. All questions were presented as "before" and "since" the COVID-19 pandemic. RESULTS In total, 7,753 participants were included; 32.2% of the sample were individuals with normal weight, 32.1% had overweight, and 34.0% had obesity. During the pandemic, overall scores for healthy eating increased (P < 0.001), owing to less eating out and increased cooking (P < 0.001). Sedentary leisure behaviors increased, while time spent in physical activity (absolute time and intensity adjusted) declined (P < 0.001). Anxiety scores increased 8.78 ± 0.21 during the pandemic, and the magnitude of increase was significantly greater in people with obesity (P ≤ 0.01). Weight gain was reported in 27.5% of the total sample compared with 33.4% in participants with obesity. CONCLUSIONS The COVID-19 pandemic has produced significant health effects, well beyond the virus itself. Government mandates together with fear of contracting the virus have significantly impacted lifestyle behaviors alongside declines in mental health. These deleterious impacts have disproportionally affected individuals with obesity.
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Emotional Eating, Health Behaviours, and Obesity in Children: A 12-Country Cross-Sectional Study.
Jalo, E, Konttinen, H, Vepsäläinen, H, Chaput, JP, Hu, G, Maher, C, Maia, J, Sarmiento, OL, Standage, M, Tudor-Locke, C, et al
Nutrients. 2019;11(2)
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Childhood obesity rates are high in both developed and developing countries. The most important contributors are the increased availability of energy-dense foods and a reduced need for physical activity. The aim of the study was to examine the association between self-reported emotional eating, health behaviours and body mass index in 9 to 11-year-old children. The study is a secondary analysis of the International Study of Childhood Obesity, Lifestyle and Environment. The cross-sectional sample included 5,426 children with an age range between 9 to 11-year-olds. Results indicate a positive association between emotional eating and an unhealthy diet pattern, which was consistent in all 12 different study sites. Authors conclude that the association between emotional eating and an unhealthy eating pattern is not restricted to Western countries and their cultural and food environments.
Abstract
Eating in response to negative emotions (emotional eating, EE) may predispose an individual to obesity. Yet, it is not well known how EE in children is associated with body mass index (BMI) and health behaviours (i.e., diet, physical activity, sleep, and TV-viewing). In the present study, we examined these associations in a cross-sectional sample of 5426 (54% girls) 9⁻11-year-old children from 12 countries and five continents. EE, food consumption, and TV-viewing were measured using self-administered questionnaires, and physical activity and nocturnal sleep duration were measured with accelerometers. BMI was calculated using measured weights and heights. EE factor scores were computed using confirmatory factor analysis, and dietary patterns were identified using principal components analysis. The associations of EE with health behaviours and BMI z-scores were analyzed using multilevel models including age, gender, and household income as covariates. EE was positively and consistently (across 12 study sites) associated with an unhealthy dietary pattern (β = 0.29, SE = 0.02, p < 0.0001), suggesting that the association is not restricted to Western countries. Positive associations between EE and physical activity and TV viewing were not consistent across sites. Results tended to be similar in boys and girls. EE was unrelated to BMI in this sample, but prospective studies are needed to determine whether higher EE in children predicts the development of undesirable dietary patterns and obesity over time.
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Behavioral Weight Loss Intervention for Migraine: A Randomized Controlled Trial.
Bond, DS, Thomas, JG, Lipton, RB, Roth, J, Pavlovic, JM, Rathier, L, O'Leary, KC, Evans, EW, Wing, RR
Obesity (Silver Spring, Md.). 2018;26(1):81-87
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Migraine is a neurological disease characterized by moderate-to-severe headache and accompanying autonomic, affective, and sensory features. It is also comorbid with several diseases, including obesity. The aim of this study was to assess the impact of a standardized behavioural weight loss (BWL) intervention on migraine headache frequency. This study is a parallel-group, single-blinded randomised controlled trail. The participants were randomized to one of the two groups: BWL or migraine education (ME). Results show that changes in migraine headache frequency at post-treatment and follow-up were not significantly different between the BWL and ME control interventions. In fact, both BWL and ME had significant reductions in monthly migraine headache days from baseline to post-treatment and follow-up. Authors conclude that further research is required to better understand treatment mechanisms and whether BWL can enhance effects of standard pharmacologic and/or non-pharmacologic migraine therapies in patients with comorbid overweight/obesity.
Abstract
OBJECTIVE The objective of this study was to test whether behavioral weight loss (BWL) intervention decreases headaches in women with comorbid migraine and overweight or obesity. METHODS This randomized, single-blind trial allocated women 18 to 50 years old with 4 to 20 migraine days per month and a BMI = 25.0-49.9 kg/m2 to 16 weeks of BWL (n = 54), which targeted exercise and eating behaviors for weight loss, or to migraine education control (ME, n = 56), which delivered didactic instruction on migraine and treatments. Participants completed a 4-week smartphone headache diary at baseline, posttreatment (16-20 wk), and follow-up (32-36 wk). The primary outcome was posttreatment change in migraine days per month, analyzed via linear mixed effects models. RESULTS Of 110 participants randomly assigned, 85 (78%) and 80 (73%) completed posttreatment and follow-up. Although the BWL group achieved greater weight loss (mean [95% CI] in kilograms) than the ME group at posttreatment (-3.8 [-2.5 to -5.0] vs. + 0.9 [-0.4 to 2.2], P < 0.001) and follow-up (-3.2 [-2.0 to -4.5] vs. + 1.1 [-0.2 to 2.4], P < 0.001), there were no significant group (BWL vs. ME) differences (mean [95% CI]) in migraine days per month at posttreatment (-3.0 [-2.0 to -4.0] vs. -4.0 [-2.9 to -5.0], P = 0.185) or follow-up (-3.8 [-2.7 to -4.8] vs. -4.4 [-3.4 to -5.5], P = 0.378). CONCLUSIONS Contrary to hypotheses, BWL and ME yielded similar, sustained reductions in migraine headaches. Future research should evaluate whether adding BWL to standard pharmacological and/or nonpharmacological migraine treatment approaches yields greater benefits.