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The impact of Dietary Weight loss, Aerobic Exercise, and Daylong Movement on Social Cognitive Mediators of Long-term Weight loss.
Fanning, J, Nicklas, B, Furlipa, J, Rejeski, WJ
Journal of behavioral medicine. 2023;46(3):499-508
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Obesity in older adults predisposes individuals to physical disability, a host of chronic diseases, and premature mortality. A strong body of evidence indicates that well-designed structured exercise interventions increase older adults’ self-efficacy and satisfaction with their physical functioning, and these are important social cognitive outcomes closely linked with quality of life and health behaviour change. The main aim of this study was to investigate changes in walking self-efficacy and satisfaction after the 6-month intensive phase of the intervention. This study was a secondary analysis of the Empowered with Movement to Prevent Obesity and Weight Regain (EMPOWER) study, which was an 18-month, three-group, single-blind randomised trial. A total of 183 participants were randomly assigned to one of the three treatment arms: weight loss + structured exercise (WL+EX), WL+ sitting less and moving more across the day (SL), or WL+EX+SL. Results showed that: - participants demonstrated improvements in self-efficacy and satisfaction following the 6-month intervention weight loss and physical activity intervention. - participants who received an exercise intervention focused on sustained walking demonstrated significantly better self-efficacy for walking relative to those who did not (WL+SL). - both WL+EX and WL+EX+SL regressed to baseline levels of self-efficacy for walking by month 18, only WL+SL did not significantly decrease self-efficacy scores, sustaining a significant increase over baseline. Authors conclude that programs focused on daylong movement may contribute to improved self-efficacy and satisfaction. Thus, health promotion professionals should demonstrate flexibility in the ways in which physical activity is prescribed for older adults since not everyone resonates with traditional structured exercise.
Abstract
This report contrasts the impact of a dietary weight loss intervention (WL) paired with aerobic exercise (EX) and/or sitting less and moving throughout the day (SL) on self-efficacy for walking (hereafter walking self-efficacy) and satisfaction with physical functioning (hereafter satisfaction). Additional analyses examined dose-response associations between change in weight and changes in these key outcomes. Older adults (N = 112; age = 70.21[Formula: see text]4.43) were randomized to 6 months of WL+EX, WL+SL, or WL+EX+SL followed by a 12-month maintenance period. All groups reported increases in walking self-efficacy at month 6 with greater improvements in WL+EX and WL + EX+SL. Only WL+SL demonstrated improved walking self-efficacy at month 18. All conditions demonstrated improved satisfaction scores at both time points. Changes in walking self-efficacy and satisfaction were negatively associated with change in weight over the 6-month intervention and after the maintenance period. These results support the utility of WL + SL for improving key social cognitive outcomes in aging.
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Effect of a Personalized Diet to Reduce Postprandial Glycemic Response vs a Low-fat Diet on Weight Loss in Adults With Abnormal Glucose Metabolism and Obesity: A Randomized Clinical Trial.
Popp, CJ, Hu, L, Kharmats, AY, Curran, M, Berube, L, Wang, C, Pompeii, ML, Illiano, P, St-Jules, DE, Mottern, M, et al
JAMA network open. 2022;5(9):e2233760
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Postprandial glycaemic response (PPGR) to foods can be different from person to person. This could be the reason why people experience different weight loss outcomes with standardised diets such as a low glycaemic index diet, low-fat diet or a low carbohydrate diet. In this single-centre, population-based, randomised, blinded clinical trial, 204 participants with irregular glucose metabolism and obesity were randomised to consume either a low-fat or personalised diet for six months in combination with fourteen behavioural change counselling sessions. The participants in the personalised diet group received a colour-coded meal score to indicate their estimated PPGR for different foods. The results of this study showed no significant weight reduction in the personalised diet group compared to the low-fat diet. Further robust studies are required to develop appropriate precision nutrition interventions for weight loss and energy balance. However, healthcare professionals can use the results of this study to understand that both a low-fat diet and a personalised diet, coupled with behavioural counselling, may be effective in promoting weight loss in obese populations with irregular glucose metabolism.
Abstract
IMPORTANCE Interindividual variability in postprandial glycemic response (PPGR) to the same foods may explain why low glycemic index or load and low-carbohydrate diet interventions have mixed weight loss outcomes. A precision nutrition approach that estimates personalized PPGR to specific foods may be more efficacious for weight loss. OBJECTIVE To compare a standardized low-fat vs a personalized diet regarding percentage of weight loss in adults with abnormal glucose metabolism and obesity. DESIGN, SETTING, AND PARTICIPANTS The Personal Diet Study was a single-center, population-based, 6-month randomized clinical trial with measurements at baseline (0 months) and 3 and 6 months conducted from February 12, 2018, to October 28, 2021. A total of 269 adults aged 18 to 80 years with a body mass index (calculated as weight in kilograms divided by height in meters squared) ranging from 27 to 50 and a hemoglobin A1c level ranging from 5.7% to 8.0% were recruited. Individuals were excluded if receiving medications other than metformin or with evidence of kidney disease, assessed as an estimated glomerular filtration rate of less than 60 mL/min/1.73 m2 using the Chronic Kidney Disease Epidemiology Collaboration equation, to avoid recruiting patients with advanced type 2 diabetes. INTERVENTIONS Participants were randomized to either a low-fat diet (<25% of energy intake; standardized group) or a personalized diet that estimates PPGR to foods using a machine learning algorithm (personalized group). Participants in both groups received a total of 14 behavioral counseling sessions and self-monitored dietary intake. In addition, the participants in the personalized group received color-coded meal scores on estimated PPGR delivered via a mobile app. MAIN OUTCOMES AND MEASURES The primary outcome was the percentage of weight loss from baseline to 6 months. Secondary outcomes included changes in body composition (fat mass, fat-free mass, and percentage of body weight), resting energy expenditure, and adaptive thermogenesis. Data were collected at baseline and 3 and 6 months. Analysis was based on intention to treat using linear mixed modeling. RESULTS Of a total of 204 adults randomized, 199 (102 in the personalized group vs 97 in the standardized group) contributed data (mean [SD] age, 58 [11] years; 133 women [66.8%]; mean [SD] body mass index, 33.9 [4.8]). Weight change at 6 months was -4.31% (95% CI, -5.37% to -3.24%) for the standardized group and -3.26% (95% CI, -4.25% to -2.26%) for the personalized group, which was not significantly different (difference between groups, 1.05% [95% CI, -0.40% to 2.50%]; P = .16). There were no between-group differences in body composition and adaptive thermogenesis; however, the change in resting energy expenditure was significantly greater in the standardized group from 0 to 6 months (difference between groups, 92.3 [95% CI, 0.9-183.8] kcal/d; P = .05). CONCLUSIONS AND RELEVANCE A personalized diet targeting a reduction in PPGR did not result in greater weight loss compared with a low-fat diet at 6 months. Future studies should assess methods of increasing dietary self-monitoring adherence and intervention exposure. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT03336411.
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The COVID-19 Pandemic: a Call to Action to Identify and Address Racial and Ethnic Disparities.
Laurencin, CT, McClinton, A
Journal of racial and ethnic health disparities. 2020;7(3):398-402
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The severe acute respiratory syndrome coronavirus 2 virus was first identified in late 2019 in Wuhan, China. Various unsubstantiated reports emerged declaring that the genetic constitution of Blacks or even the presence of melanin rendered Blacks immune to the virus. This study is a call of action which reviews preliminary data on race and ethnicity in the peer-reviewed literature for citizens in America affected by COVID-19. Findings demonstrate that communities of colour (Blacks) have a higher rate of infection and death in comparison to their population percentage in the state of Connecticut. However, authors are unable to draw conclusions since race and ethnicity data is missing and the data in this paper is the earliest data available. Therefore, the authors call for action to identify and address racial and ethnic health disparities in the COVID-19 crisis.
Abstract
The Coronavirus disease 2019 (COVID-19) pandemic has significantly impacted and devastated the world. As the infection spreads, the projected mortality and economic devastation are unprecedented. In particular, racial and ethnic minorities may be at a particular disadvantage as many already assume the status of a marginalized group. Black Americans have a long-standing history of disadvantage and are in a vulnerable position to experience the impact of this crisis and the myth of Black immunity to COVID-19 is detrimental to promoting and maintaining preventative measures. We are the first to present the earliest available data in the peer-reviewed literature on the racial and ethnic distribution of COVID-19-confirmed cases and fatalities in the state of Connecticut. We also seek to explode the myth of Black immunity to the virus. Finally, we call for a National Commission on COVID-19 Racial and Ethnic Health Disparities to further explore and respond to the unique challenges that the crisis presents for Black and Brown communities.
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Effect of a Comprehensive Cardiovascular Risk Reduction Intervention in Persons With Serious Mental Illness: A Randomized Clinical Trial.
Daumit, GL, Dalcin, AT, Dickerson, FB, Miller, ER, Evins, AE, Cather, C, Jerome, GJ, Young, DR, Charleston, JB, Gennusa, JV, et al
JAMA network open. 2020;3(6):e207247
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Heart disease death rates in individuals with serious mental illness are double that of the general population, indicating a concerted effort is needed to help this group of people. However, previous studies on interventions have failed to show improvements indicating a requirement to identify effective solutions. This randomised control trial of 269 individuals with mental illness aimed to determine the effectiveness of an 18-month management plan to reduce heart disease risk. The results showed that heart disease risk was significantly decreased when individuals with mental illness were in a closely monitored management programme. This programme consisted of behavioural counselling and care coordination. It was concluded that a multi-faceted care management plan can significantly reduce the risk of heart disease in individuals with serious mental illness. This study could be used by health care professionals to understand that individuals with mental illness are at a higher risk of death from heart disease and that they need to consider enrolling them into a closely monitored management plan.
Abstract
Importance: Persons with serious mental illness have a cardiovascular disease mortality rate more than twice that of the overall population. Meaningful cardiovascular risk reduction requires targeted efforts in this population, who often have psychiatric symptoms and cognitive impairment. Objective: To determine the effectiveness of an 18-month multifaceted intervention incorporating behavioral counseling, care coordination, and care management for overall cardiovascular risk reduction in adults with serious mental illness. Design, Setting, and Participants: This randomized clinical trial was conducted from December 2013 to November 2018 at 4 community mental health outpatient programs in Maryland. The study recruited adults with at least 1 cardiovascular disease risk factor (hypertension, diabetes, dyslipidemia, current tobacco smoking, and/or overweight or obesity) attending the mental health programs. Of 398 participants screened, 269 were randomized to intervention (132 participants) or control (137 participants). Data collection staff were blinded to group assignment. Data were analyzed on the principle of intention to treat, and data analysis was performed from November 2018 to March 2019. Interventions: A health coach and nurse provided individually tailored cardiovascular disease risk reduction behavioral counseling, collaborated with physicians to implement appropriate risk factor management, and coordinated with mental health staff to encourage attainment of health goals. Programs offered physical activity classes and received consultation on serving healthier meals; intervention and control participants were exposed to these environmental changes. Main Outcomes and Measures: The primary outcome was the change in the risk of cardiovascular disease from the global Framingham Risk Score (FRS), which estimates the 10-year probability of a cardiovascular disease event, from baseline to 18 months, expressed as percentage change for intervention compared with control. Results: Of 269 participants randomized (mean [SD] age, 48.8 [11.9] years; 128 men [47.6%]), 159 (59.1%) had a diagnosis of schizophrenia or schizoaffective disorder, 67 (24.9%) had bipolar disorder, and 38 (14.1%) had major depressive disorder. At 18 months, the primary outcome, FRS, was obtained for 256 participants (95.2%). The mean (SD) baseline FRS was 11.5% (11.5%) (median, 8.6%; interquartile range, 3.9%-16.0%) in the intervention group and 12.7% (12.7%) (median, 9.1%; interquartile range, 4.0%-16.7%) in the control group. At 18 months, the mean (SD) FRS was 9.9% (10.2%) (median, 7.7%; interquartile range, 3.1%-12.0%) in the intervention group and 12.3% (12.0%) (median, 9.7%; interquartile range, 4.0%-15.9%) in the control group. Compared with the control group, the intervention group experienced a 12.7% (95% CI, 2.5%-22.9%; P = .02) relative reduction in FRS at 18 months. Conclusions and Relevance: An 18-month behavioral counseling, care coordination, and care management intervention statistically significantly reduced overall cardiovascular disease risk in adults with serious mental illness. This intervention provides the means to substantially reduce health disparities in this high-risk population. Trial Registration: ClinicalTrials.gov Identifier: NCT02127671.
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Predicting Weight Loss Using Psychological and Behavioral Factors: The POUNDS LOST Trial.
Liu, X, Hanseman, DJ, Champagne, CM, Bray, GA, Qi, L, Williamson, DA, Anton, SD, Sacks, FM, Tong, J
The Journal of clinical endocrinology and metabolism. 2020;105(4)
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Food cravings are a psychological state associated with increased food intake and body weight. Understanding food cravings and psychological behaviour may help weight management. This randomised control trial of 811 individuals on a weight loss regime aimed to determine relationships between behavioural factors and weight changes over two years. The results showed that individuals who reported the strongest food cravings, lost less weight and those who had weaker cravings lost the most weight. Craving fatty foods was associated with greater weight loss, less calories consumed and reduced fat intake. Craving carbohydrates was associated with less weight loss and greater weight regain after 2 years. Interestingly, participants lost the most weight in the first six months and then regained weight in years one and two. It was concluded that cravings were most likely to influence weight loss and regain. Individuals who craved fatty foods, were more likely to lose weight through decreased calorie and fat intake. This study could be used by health care professionals to understand that helping their obese and overweight patients to manage their food cravings may aid weight loss and prevent weight gain.
Abstract
CONTEXT Eating habits and food craving are strongly correlated with weight status. It is currently not well understood how psychological and behavioral factors influence both weight loss and weight regain. OBJECTIVE To examine the associations between psychological and behavioral predictors with weight changes and energy intake in a randomized controlled trial on weight loss. DESIGN AND SETTING The Prevention of Obesity Using Novel Dietary Strategies is a dietary intervention trial that examined the efficacy of 4 diets on weight loss over 2 years. Participants were 811 overweight (body mass index, 25-40.9 kg/m2; age, 30-70 years) otherwise healthy adults. RESULTS Every 1-point increase in craving score for high-fat foods at baseline was associated with greater weight loss (-1.62 kg, P = .0004) and a decrease in energy intake (r = -0.10, P = .01) and fat intake (r = -0.16, P < .0001) during the weight loss period. In contrast, craving for carbohydrates/starches was associated with both less weight loss (P < .0001) and more weight regain (P = .04). Greater cognitive restraint of eating at baseline was associated with both less weight loss (0.23 kg, P < .0001) and more weight regain (0.14 kg, P = .0027), whereas greater disinhibition of eating was only associated with more weight regain (0.12 kg, P = .01). CONCLUSIONS Craving for high-fat foods is predictive of greater weight loss, whereas craving for carbohydrates is predictive of less weight loss. Cognitive restraint is predictive of less weight loss and more weight regain. Interventions targeting different psychological and behavioral factors can lead to greater success in weight loss.
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Prevalence of Depression Symptoms in US Adults Before and During the COVID-19 Pandemic.
Ettman, CK, Abdalla, SM, Cohen, GH, Sampson, L, Vivier, PM, Galea, S
JAMA network open. 2020;3(9):e2019686
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Coronavirus disease 2019 (COVID-19) is an event that can cause physical, emotional, and psychological harm. Thus, the COVID-19 pandemic can itself be considered a traumatic event. The aim of this study was to (a) assess the burden of depression symptoms in the US during COVID-19 using the same measures deployed in representative national surveys before COVID-19 began, and (b) understand the factors associated with depression symptoms during and before COVID-19. This study is a population-representative survey study of US adults. A total of 1441 participants were included in the final sample out of which 619 participants were aged between 18 and 39 years, 723 were men, and 933 were non-Hispanic White. Results showed that: - prevalence of depression symptoms in the US increased more than 3-fold during the COVID-19 pandemic, from 8.5% before COVID-19 to 27.8% during COVID-19. - there was a shift in depression symptoms, with fewer people with no symptoms and more people with more symptoms during COVID-19 than before COVID-19. - lower income groups were at greater risk of depression symptoms than higher income groups. Authors conclude that the potential for the mental health consequences of COVID-19 to be large in scale, to recognize that these effects can be long-lasting, and to consider preventative action to help mitigate its effects.
Abstract
Importance: The coronavirus disease 2019 (COVID-19) pandemic and the policies to contain it have been a near ubiquitous exposure in the US with unknown effects on depression symptoms. Objective: To estimate the prevalence of and risk factors associated with depression symptoms among US adults during vs before the COVID-19 pandemic. Design, Setting, and Participants: This nationally representative survey study used 2 population-based surveys of US adults aged 18 or older. During COVID-19, estimates were derived from the COVID-19 and Life Stressors Impact on Mental Health and Well-being study, conducted from March 31, 2020, to April 13, 2020. Before COVID-19 estimates were derived from the National Health and Nutrition Examination Survey, conducted from 2017 to 2018. Data were analyzed from April 15 to 20, 2020. Exposures: The COVID-19 pandemic and outcomes associated with the measures to mitigate it. Main Outcomes and Measures: Depression symptoms, defined using the Patient Health Questionnaire-9 cutoff of 10 or higher. Categories of depression symptoms were defined as none (score, 0-4), mild (score, 5-9), moderate (score, 10-14), moderately severe (score, 15-19), and severe (score, ≥20). Results: A total of 1470 participants completed the COVID-19 and Life Stressors Impact on Mental Health and Well-being survey (completion rate, 64.3%), and after removing those with missing data, the final during-COVID-19 sample included 1441 participants (619 participants [43.0%] aged 18-39 years; 723 [50.2%] men; 933 [64.7%] non-Hispanic White). The pre-COVID-19 sample included 5065 participants (1704 participants [37.8%] aged 18-39 years; 2588 [51.4%] women; 1790 [62.9%] non-Hispanic White). Depression symptom prevalence was higher in every category during COVID-19 compared with before (mild: 24.6% [95% CI, 21.8%-27.7%] vs 16.2% [95% CI, 15.1%-17.4%]; moderate: 14.8% [95% CI, 12.6%-17.4%] vs 5.7% [95% CI, 4.8%-6.9%]; moderately severe: 7.9% [95% CI, 6.3%-9.8%] vs 2.1% [95% CI, 1.6%-2.8%]; severe: 5.1% [95% CI, 3.8%-6.9%] vs 0.7% [95% CI, 0.5%-0.9%]). Higher risk of depression symptoms during COVID-19 was associated with having lower income (odds ratio, 2.37 [95% CI, 1.26-4.43]), having less than $5000 in savings (odds ratio, 1.52 [95% CI, 1.02-2.26]), and exposure to more stressors (odds ratio, 3.05 [95% CI, 1.95-4.77]). Conclusions and Relevance: These findings suggest that prevalence of depression symptoms in the US was more than 3-fold higher during COVID-19 compared with before the COVID-19 pandemic. Individuals with lower social resources, lower economic resources, and greater exposure to stressors (eg, job loss) reported a greater burden of depression symptoms. Post-COVID-19 plans should account for the probable increase in mental illness to come, particularly among at-risk populations.