Impact of sleep, screen time, depression and stress on weight change in the intensive weight loss phase of the LIFE study

The effect of a low-calorie diet on depressive symptoms in individuals with overweight or obesity: a systematic review and meta-analysis of interventional studies

BACKGROUND

Individuals with overweight or obesity are at a high risk for so-called 'atypical' or immunometabolic depression, with associated neurovegetative symptoms including overeating, fatigue, weight gain, and a poor metabolic profile evidenced e.g. by dyslipidemia or hyperglycemia. Research has generated preliminary evidence for a low-calorie diet (LCD) in reducing depressive symptoms. The aim of the current systematic review and meta-analysis is to examine this evidence to determine whether a LCD reduces depressive symptoms in people with overweight or obesity.

METHODS

Eligible studies were identified through PubMed, ISI Web of Science, and PsycINFO until August 2023. Standardized mean differences (SMDs) were derived using random-effects meta-analyses for (1) pre-post LCD comparisons of depression outcomes, and (2) LCD v. no-diet-control group comparisons of depression outcomes.

RESULTS

A total of 25 studies were included in the pre-post meta-analysis, finding that depression scores were significantly lower following a LCD (SMD = -0.47), which was not significantly moderated by the addition of exercise or behavioral therapy as a non-diet adjunct. Meta-regressions indicated that a higher baseline BMI and greater weight reduction were associated with a greater reduction in depression scores. The intervention-control meta-analysis (n = 4) found that overweight or obese participants adhering to a LCD showed a nominally lower depression score compared with those given no intervention (SMD = -0.29).

CONCLUSIONS

There is evidence that LCDs may reduce depressive symptoms in people with overweight or obesity in the short term. Future well-controlled intervention studies, including a non-active control group, and longer-term follow-ups, are warranted in order to make more definitive conclusions.

The relationship between sleep quantity, sleep quality and weight loss in adults: A scoping review

Sleep is hypothesized to interact with weight gain and loss; however, modelling this relationship remains elusive. Poor sleep perpetuates a cascade of cardiovascular and metabolic consequences that may not only increase risk of adiposity, but also confound weight loss efforts. We conducted a scoping review to assess the research on sleep and weight loss interventions. We searched six databases for studies of behavioural weight loss interventions that included assessments of sleep in the general, non-clinical adult human population. Our synthesis focused on dimensions of Population, Intervention, Control, and Outcomes (PICO) to identify research and knowledge gaps. We identified 35 studies that fell into one of four categories: (a) sleep at baseline as a predictor of subsequent weight loss during an intervention, (b) sleep assessments after a history of successful weight loss, (c) concomitant changes in sleep associated with weight loss and (d) experimental manipulation of sleep and resulting weight loss. There was some evidence of improvements in sleep in response to weight-loss interventions; however, randomized controlled trials of weight loss interventions tended not to report improvements in sleep when compared to controls. We conclude that baseline sleep characteristics may predict weight loss in studies of dietary interventions and that sleep does not improve because of weight loss alone. Future studies should enrol large and diverse, normal, overweight and obese short sleepers in trials to assess the efficacy of sleep as a behavioural weight loss treatment.

Conceptualizing weight management for night shift workers: A mixed-methods systematic review

Shift workers have an increased risk of obesity and metabolic conditions. This mixed-methods systematic literature review on night shift workers aimed to: (1) identify barriers/enablers of weight management; (2) examine effectiveness of weight management interventions; and (3) determine whether interventions addressed enablers/barriers. Six databases were searched, articles screened by title/abstract, followed by full-text review, and quality assessment. Eligible qualitative studies documented experiences of behaviors related to weight change. Eligible quantitative studies were behavior change interventions with weight/body mass index outcomes. A thematic synthesis was undertaken for qualitative studies using the social-ecological model (SEM). Interventions were synthesized narratively including: weight/body composition change; components mapped by behavior change taxonomy; and SEM. A synthesis was undertaken to identify if interventions addressed perceived enablers/barriers. Eight qualitative (n = 169 participants) and 12 quantitative studies (n = 1142 participants) were included. Barriers predominated discussions: intrapersonal (time, fatigue, stress); interpersonal (work routines/cultural norms); organizational (fatigue, lack of: routine, healthy food options, breaks/predictable work); community (lack of healthy food options). The primary outcome for interventions was not weight loss and most did not address many identified enablers/barriers. One intervention reported a clinically significant weight loss result. Weight loss interventions that address barriers/enablers at multiple SEM levels are needed.

Weight Loss and Sleep, Current Evidence in Animal Models and Humans

Sleep is a vital process essential for survival. The trend of reduction in the time dedicated to sleep has increased in industrialized countries, together with the dramatic increase in the prevalence of obesity and diabetes. Short sleep may increase the risk of obesity, diabetes and cardiovascular disease, and on the other hand, obesity is associated with sleep disorders, such as obstructive apnea disease, insomnia and excessive daytime sleepiness. Sleep and metabolic disorders are linked; therefore, identifying the physiological and molecular pathways involved in sleep regulation and metabolic homeostasis can play a major role in ameliorating the metabolic health of the individual. Approaches aimed at reducing body weight could provide benefits for both cardiometabolic risk and sleep quality, which indirectly, in turn, may determine an amelioration of the cardiometabolic phenotype of individuals. We revised the literature on weight loss and sleep, focusing on the mechanisms and the molecules that may subtend this relationship in humans as in animal models.

Sleep characteristics modify the associations of physical activity during pregnancy and gestational weight gain

OBJECTIVE

Excessive gestational weight gain (eGWG) is associated with adverse long-term maternal outcomes. Most lifestyle interventions that incorporate physical activity have been ineffective at reducing eGWG. The purpose of this study was to determine if sleep modified the relationships between physical activity change from the 2nd to 3rd trimester and the odds of excessive gestational weight gain (eGWG).

METHODS

This was a secondary data analysis of a prospective cohort study of pregnant birthing people with overweight or obesity (n = 105). We estimated physical activity energy expenditure (PAEE) in the 2nd and 3rd trimesters of pregnancy and sleep characteristics (i.e., sleep quality, daytime dysfunction, sleep efficiency, sleep duration) in the 2nd trimester of pregnancy with validated measures. We used regression models with sleep and PAEE change (increase/stable vs. decrease) interaction terms to examine the impact of sleep on PAEE change and eGWG.

RESULTS

Mean GWG was 37.02 ± 16.76 lbs. and 80% of participants experienced eGWG. Eighteen percent of participants increased their PAEE from the 2nd to the 3rd trimester. Increasing (vs. decreasing) PAEE was associated with lower log-odds of eGWG only among participants that slept at least 8 h/night (p = 0.06), had at least 85% sleep efficiency (p = 0.03), or reported less daytime dysfunction (p = 0.08). Sleep quality did not moderate the association between PAEE change and eGWG.

CONCLUSIONS

Weight management interventions in pregnancy should consider screening for and addressing poor sleep in the second trimester.

The association of multidimensional sleep health with adiposity in heart failure with preserved ejection fraction

BACKGROUND

There are bi-directional relationships between sleep disturbances and obesity, both of which are prevalent in patients with heart failure with preserved ejection fraction (HFpEF). However, little is known about the sleep-obesity association in HFpEF.

OBJECTIVES

To determine associations of multidimensional sleep health, night movement, sleep fragmentation, and sleep-disordered breathing (SDB) risk with overall and regional adiposity in HFpEF patients.

METHODS

Men and women with HFpEF (n = 49) were assessed via 14-day actigraphy, Pittsburgh Sleep Quality Index, and Epworth Sleepiness Scale to derive multidimensional sleep health. SDB risk was assessed via Berlin Questionnaire. Body composition was measured using anthropometry; MRI quantification of epicardial, abdominal, liver, and thigh adipose tissue was performed in a subsample (n = 22). Spearman correlation (rs) and linear regression analyses (β coefficient) were used to estimate bivariate and age-adjusted associations.

RESULTS

Multidimensional sleep health was inversely associated with BMI (rs = -0.50, p < .001; unadjusted: β = -4.00, 95%CI: -5.87, -2.13; age-adjusted: β = -2.48, 95%CI: -4.65, -0.30), thigh subcutaneous adipose tissue (rs = -0.50, p = .018; unadjusted: β = -36.95, 95%CI: -67.31, -6.59), and thigh intermuscular fat (age-adjusted: β = -0.24, 95%CI: -0.48, -0.01). Night movement and sleep fragmentation were associated with greater intermuscular thigh and lower liver fat. High SDB risk was associated with a higher visceral-to-subcutaneous ratio of abdominal adiposity and lower thigh adiposity.

CONCLUSIONS

Adverse multidimensional sleep health is associated with higher adiposity measures in HFpEF patients. Further studies are needed to determine whether intervening on sleep could ameliorate excess adiposity or whether weight loss could improve sleep quality in HFpEF.

Adverse childhood experiences and sleep links in a predominantly Black sample of overweight adults

Adverse childhood experiences (ACEs) have been associated with worse sleep, but existing literature is limited by use of predominantly White samples, lack of objective sleep measurement, and use of non-standardized questionnaires. We investigated associations between retrospectively reported ACEs and sleep in adulthood in a sample of 43 adults 20-53 years of age, free from chronic conditions, with a Body mass index (BMI) ≥ 25 (Mean age = 33.14 [SD = 10.05], 74% female, 54% Black). Sleep efficiency (SE), total sleep time (TST), wake after sleep onset (WASO), and sleep onset latency (SOL), were measured by actigraphy and daily diary. Global sleep quality and insomnia severity were measured by questionnaires. Sleepiness, fatigue, and sleep quality were also measured by daily diary. Adjusting for demographic characteristics and BMI, ACEs were significantly associated with poorer global sleep quality and diary measures of greater daytime sleepiness, fatigue, and poorer sleep quality. There were no significant associations between ACEs and SE, TST, WASO, or SOL measured by diary or actigraphy. Findings suggest that ACEs are associated with worse sleep perception and daytime functioning in adulthood. Larger prospective studies are needed to replicate these findings, examine racial/ethnic differences, and determine temporal associations between ACEs, sleep, and health (e.g., BMI).

Can the relationship between overweight/obesity and sleep quality be explained by affect and behaviour?

PURPOSE

Sleep impairment is reported to be a consequence of overweight and obesity. However, the weight-sleep relationship can alternately be explained by demographics (e.g. age) and covariates (i.e. mood/affect and behaviour in overweight/obese people; e.g. night-eating). Thus, we examined the weight-sleep quality relationship after controlling for the effects of affect and common behaviour (i.e. night-eating, insufficient exercise, alcohol and electronic device use).

METHODS

Online questionnaires asked 161 overweight, obese or normal-weight participants about their sleep quality, night-eating, physical activity, alcohol use, electronic device use and anxiety and depression at T0 (baseline) and T1 (3 months later). Height and weight and waist and hip circumference were objectively measured at T0 and T1, and physical activity was assessed over 24 h (using actigraphy) at T0 and T1. Hierarchical multiple regression analyses evaluated whether the weight measures (i.e. body-mass-index [BMI], waist-to-hip ratio [WHR] and obesity category [overweight/obese vs. normal-weight]) predicted sleep quality and its components at T0 and T1, after controlling demographics (at step 1) and covariates (affective distress and behaviour) at step 2, and entering weight measures at step 3; maximum 8 variables in the analyses.

RESULTS

High BMI predicted several aspects of sleep quality after taking into account co-existing behaviour, affect and demographics: sleep disturbances at T0 and lower sleep efficiency at T1. WHR and obesity category did not predict any aspects of sleep quality. Several co-existing behaviour were related to or predicted sleep quality score and aspects of sleep quality including night-eating, alcohol use and electronic device use and affective symptoms (i.e. anxiety, depression).

CONCLUSION

Results suggest that a person's weight may impact on their sleep quality above and beyond the effects of their co-existing behaviour and affect, although their co-existing behaviour and affect may also adversely impact on sleep quality.

LEVEL OF EVIDENCE

Level III, evidence obtained from well-designed cohort.

The Wahls Behavior Change Model for Complex Chronic Diseases: A Clinician's Guide

Behavior change models are used to understand and intervene on health-related behaviors and outcomes. However, there is a gap in the literature regarding how to create and maintain behavior change in patients with complex chronic diseases such as Multiple Sclerosis (MS). To address this gap, the Wahls Behavior ChangeTM Model (WBCM) (The trademark applies to subsequent mention of the model.) was developed based on existing behavior change theory, empirical evidence, and extensive clinical experience caring for patients with complex chronic diseases. A patient-centered, comprehensive, and multimodal approach, this model provides a framework for understanding and implementing lifestyle behavior change. The overall goals of this paper are to: (1) review existing behavior change theories; (2) introduce the WBCM, including the model's 11 Principles for behavior change in patients with complex chronic diseases; and (3) share how providers can be trained to implement the WBCM. The WBCM can potentially improve short- and longer-term function and quality of life outcomes for people with complex chronic diseases.

Effect of sleep on weight loss and adherence to diet and physical activity recommendations during an 18-month behavioral weight loss intervention

BACKGROUND/OBJECTIVES

To examine the association between indices of sleep quantity and quality with dietary adherence, physical activity adherence, and weight loss during a behavioral weight loss intervention.

METHODS

Adults (n = 156) with overweight and obesity (40 ± 9 years, 84% female, BMI: 34.4 ± 4.2 kg/m²) participated in an 18-month behavioral weight loss intervention which prescribed a reduced calorie diet (1200-1800 kcal/d) and increased physical activity (300 min/wk). Body weight, indices of sleep (SenseWear armband; SWA), energy intake (EI, 3-day food records), and moderate-to-vigorous physical activity (SWA) were measured at baseline, 6, 12, and 18 months. Linear mixed effects models examined the association between sleep and weight change over time. Additional models were adjusted for covariates including age, BMI, sex, race, ethnicity, study completion, randomization, EI, and physical activity. Secondary analyses examined the association between sleep and adherence to diet and physical activity recommendations.

RESULTS

Mean weight loss was 7.7 ± 5.4, 8.4 ± 7.9, and 7.1 ± 9.0 kg at 6, 12, and 18 months, respectively. Lower sleep efficiency, higher wake after sleep onset (WASO), more awakenings, and higher sleep onset latency (SOL) were significantly associated with attenuated weight loss (p < 0.05). Lower sleep efficiency, more awakenings, and higher SOL remained significantly associated with blunted weight loss after adjustment for covariates (p < 0.05). Later waketime, longer time in bed, longer sleep duration, higher WASO, more awakenings, and higher SOL were associated with lower odds of achieving ≥300 min/wk of moderate-to-vigorous physical activity, adjusted for covariates (FDR p < 0.05).

CONCLUSIONS

Future studies should evaluate whether incorporating strategies to improve sleep health within a behavioral weight loss intervention leads to improved adherence to diet and physical activity recommendations and enhanced weight loss.

CLINICAL TRIALS IDENTIFIER

NCT01985568.

The association of stressful life events on weight loss efforts among African American breast cancer survivors

OBJECTIVE

This study examined whether stressful life events were associated with weight loss, central adiposity, and health behavior changes of African American breast cancer survivors (AABCS) participating in a weight loss intervention.

METHODS

We conducted a secondary-data analyses of Moving Forward, a weight loss efficacy trial for AABCS conducted in 2011-2014. Two-hundred forty-six eligible women were randomized to a 6-month interventionist-guided (IG) or self-guided (SG) weight loss intervention. Data was collected on height, weight, self-reported diet, and self-reported physical activity. Stress (e.g., financial, legal, employment, relationships, safety, prejudice) was measured using an abbreviated version of the Crisis in Family Systems (CRISYS) urban life stress measure. Generalized linear models stratified by group examined the degree to which stress was associated with weight loss or changes in central adiposity, physical activity, and diet during the intervention (Months 1-6) or maintenance (Months 7 to 12) phases.

RESULTS

Participants reported a median of 3.0 life stressors (range 0 to 22) mostly relating to relationships, safety concerns, and financial problems. In the IG group during the intervention phase, exposure to life stressors was not associated with weight loss (p = 0.15) or change in central adiposity (p = 0.69), physical activity (p = 0.15), or diet (p = 0.26). We found similar associations for the maintenance phase and in the SG group.

CONCLUSION/IMPLICATIONS

Despite facing stress across a myriad of domains (e.g., relationships, safety, finances), AABCS were successful at initiating and maintaining behaviors to achieve weight loss, reductions in central adiposity, and behavioral changes. Future randomized controlled trials are warranted that include more strategies to address the challenges that AABCS face, to determine whether AABCS in particular might benefit from interventions that address barriers (e.g., stress management) to weight loss. Such strategies are critical for improving quality of life and lowering the risk of cancer recurrence.

Sleep Disturbance and Changes in Energy Intake and Body Composition During Weight Loss in the POUNDS Lost Trial

To examine associations between sleep disturbance and changes in weight and body composition and the mediating role of changes of appetite and food cravings in the Preventing Overweight Using Novel Dietary Strategies (POUNDS Lost) 2-year weight-loss diet intervention trial, this study included 810 overweight or obese individuals with baseline sleep disturbance assessment who were randomly assigned one of four diets varying in macronutrient composition. Changes in body weight and fat distribution were assessed by DEXA and computed tomography during the 2-year intervention. Participants were asked to provide sleep disturbance levels (no, slight, moderate, or great) at baseline and to recall their sleep disturbances since last visit at 6, 12, 18, and 24 months. Weight loss during the first 6 months was followed by 1.5 years of steady weight regain. Participants with greater sleep disturbance from baseline to 6 months showed significant losses of body weight (Ptrend <0.001) and waist circumference (Ptrend = 0.002) at 6 months, after multivariate adjustment. Compared with individuals without sleep disturbance at all from baseline to 6 months, those with slight, moderate, or great sleep disturbance showed an elevated risk of failure to lose weight (-5% or more loss) at 6 months, when the maximum weight loss was achieved, with an odds ratio of 1.24 (95% CI 0.87, 1.78), 1.27 (95% CI 0.75, 2.13), or 3.12 (95% CI 1.61, 6.03), respectively. In addition, we observed that the repeatedly measured levels of sleep disturbance over 2 years were inversely associated with the overall weight loss rate (weight changes per 6 months) (Ptrend <0.001). Further, sleep disturbances during weight loss from baseline to 6 months and weight regain from 6 months to 24 months were significantly predictive of total fat, total fat mass percent, and trunk fat percent changes during the 2 years. Our results also indicated that food cravings for carbohydrates/starches, fast food fats, and sweets; cravings, prospective consumption, hunger of appetite measurements; and dietary restraint, disinhibition, and hunger subscales measured at 6 months significantly mediated the effects of sleep disturbance on weight loss. In conclusion, our results suggested that more severe sleep disturbance during weight loss was associated with an elevated risk of failure to lose weight during the dietary intervention. Food cravings and eating behaviors may partly mediate these associations.

Exercise and Nutrition Impact on Osteoporosis and Sarcopenia-The Incidence of Osteosarcopenia: A Narrative Review

Osteoporosis and sarcopenia are diseases which affect the myoskeletal system and often occur in older adults. They are characterized by low bone density and loss of muscle mass and strength, factors which reduce the quality of life and mobility. Recently, apart from pharmaceutical interventions, many studies have focused on non-pharmaceutical approaches for the prevention of osteoporosis and sarcopenia with exercise and nutrition to being the most important and well studied of those. The purpose of the current narrative review is to describe the role of exercise and nutrition on prevention of osteoporosis and sarcopenia in older adults and to define the incidence of osteosarcopenia. Most of the publications which were included in this review show that resistance and endurance exercises prevent the development of osteoporosis and sarcopenia. Furthermore, protein and vitamin D intake, as well as a healthy diet, present a protective role against the development of the above bone diseases. However, current scientific data are not sufficient for reaching solid conclusions. Although the roles of exercise and nutrition on osteoporosis and sarcopenia seem to have been largely evaluated in literature over the recent years, most of the studies which have been conducted present high heterogeneity and small sample sizes. Therefore, they cannot reach final conclusions. In addition, osteosarcopenia seems to be caused by the effects of osteoporosis and sarcopenia on elderly. Larger meta-analyses and randomized controlled trials are needed designed based on strict inclusion criteria, in order to describe the exact role of exercise and nutrition on osteoporosis and sarcopenia.

Sleep Health Characteristics among Adults Who Attempted Weight Loss in the Past Year: NHANES 2017-2018

Background: The purpose of this study was to characterize sleep health in adults who attempted weight loss in the prior year. Methods: We analyzed data from the National Health and Nutrition Examination Survey 2017–2018 exam cycle. We included 4837 US adults who did (n = 1919) or did not (n = 2918) attempt weight loss in the past year. Participants self-reported their sleep regularity, satisfaction, sleepiness, timing, and duration, which we defined as “good” based on the prior literature. We characterized sleep health by weight loss attempts status, current BMI and weight change among participants who attempted weight loss. Results: On average, participants reported good sleep health in 3.21 ± 1.14 out of the five sleep domains. A total of 13% of participants had good sleep health in all five domains. The prevalence of sleep regularity (52%) was lowest, and the prevalence of infrequent sleepiness was highest (72%), relative to other sleep domains. In models adjusting for BMI, sleep health was similar in participants who did and did not attempt weight loss. Among adults who attempted weight loss, good sleep health was inversely associated with current BMI and self-reported weight change. Discussion: This study’s findings highlight the importance of considering sleep health when engaging with adults attempting weight loss.

Psychological and behavioral pathways between perceived stress and weight change in a behavioral weight loss intervention

Black women have a higher prevalence of obesity and tend to have suboptimal outcomes in behavioral weight loss programs for reasons that are not fully understood. Studies have shown a potential relationship between perceived psychological stress and weight loss in behavioral interventions. This study sought to assess whether baseline stress was directly or indirectly associated with 6-month weight change among Black women participating in a behavioral weight loss study. Indirect pathways of interest included depressive symptoms and dietary intake. A secondary analysis of data (n = 409) collected from a cluster, randomized behavioral weight loss trial was conducted. Demographics, anthropometry, surveys, and dietary data were collected at baseline and 6 months. Path analysis was used to test for direct and indirect effects of baseline stress on 6-month weight change while controlling for sociodemographic factors and intervention group. Baseline stress was not directly associated with 6-month weight change nor was it indirectly associated via depressive symptoms in the adjusted model. However, each of the direct paths linking baseline stress to weight loss were statistically significant. Stress was not associated with 6-month weight change via dietary intake. Baseline stress was positively associated with 6-month depressive symptoms which in turn was associated with less weight change. Depressive symptoms may offer an additional psychosocial target to consider when designing behavioral weight loss interventions for Black women.

The association between sleep health and weight change during a 12-month behavioral weight loss intervention

BACKGROUND

Prior research on the relationship between sleep and attempted weight loss failed to recognize the multidimensional nature of sleep. We examined the relationship between a composite measure of sleep health and change in weight and body composition among adults in a weight loss intervention.

METHODS

Adults (N = 125) with overweight or obesity (50.3 ± 10.6 years, 91% female, 81% white) participated in a 12-month behavioral weight loss intervention, with assessments of sleep, weight, fat mass, and fat-free mass at baseline, 6 months, and 12 months. Six sleep dimensions (regularity, satisfaction, alertness, timing, efficiency, and duration) were categorized as "good" or "poor" using questionnaires and actigraphy. A composite score was calculated by summing the number of "good" dimensions. Obstructive sleep apnea (OSA) was assessed in a subsample (n = 117), using the apnea-hypopnea index (AHI) to determine OSA severity. Linear mixed modeling was used to examine the relationships between sleep health and outcomes of percent weight, fat mass, or fat-free mass change during the subsequent 6-month interval, adjusting for age, sex, bed partner, and race; an additional model adjusted for AHI.

RESULTS

Mean baseline and 6-month sleep health was 4.5 ± 1.1 and 4.5 ± 1.2, respectively. Mean weight, fat mass, and fat-free mass changes from 0 to 6 months were -9.3 ± 6.1%, -16.9 ± 13.5%, and -3.4 ± 3.4%, respectively, and 0.4 ± 4.8%, -0.3 ± 10.3%, and 0.7 ± 4.1% from 6 to 12 months. Better sleep health was associated with greater subsequent weight loss (P = 0.016) and fat loss (P = 0.006), but not fat-free mass loss (P = 0.232). Following AHI adjustment, the association between sleep health and weight loss was attenuated (P = 0.102) but remained significant with fat loss (P = 0.040). Regularity, satisfaction, timing, and efficiency were each associated with weight and/or fat loss (P ≤ 0.041).

CONCLUSIONS

Better sleep health was associated with greater weight and fat loss, with associations attenuated after accounting for OSA severity. Future studies should explore whether improving sleep health, OSA, or the combination improves weight loss.

Weight loss, hypertension and mental well-being improvements during COVID-19 with a multicomponent health promotion programme on Zoom: a service evaluation in primary care

Background

Obesity is a risk factor for complications from SARS-CoV-2 infection, increasing the need for effective weight management measures in primary care. However, in the UK, COVID-19 restrictions have hampered primary care weight management referral and delivery, and COVID-19 related weight gain has been reported. The present study evaluated outcomes from a multicomponent weight loss and health promotion programme in UK primary care, delivered remotely due to COVID-19 restrictions.

Method

Patients with obesity, type 2 diabetes or pre-diabetes attended six 90 min sessions over 10 weeks on Zoom. The dietary component comprised a low-carbohydrate ‘real food’ approach, augmented with education on physical activity, intermittent fasting, gut health, stress management, sleep and behaviour change. Anthropometric and cardiometabolic data were self-reported. Mental well-being was assessed with the Warwick Edinburgh Mental Wellbeing Scale. Subjective outcomes and participant feedback about the programme were collected with an anonymous online survey.

Results

Twenty participants completed the programme. Weight loss and improvements in body mass index, waist circumference, systolic and diastolic blood pressure and mental well-being achieved statistical and clinical significance. Mean weight loss (5.8 kg) represented a 6.5% weight loss. Participants’ subjective outcomes included weight loss without hunger (67%) and increased confidence in their ability to improve health (83%). All participants reported the usage of Zoom to access the programme as acceptable with 83% reporting it worked well.

Conclusion

A multicomponent weight loss and health promotion programme with a low-carbohydrate dietary component, clinically and statistically significantly improved health outcomes including weight status, blood pressure and mental well-being in a group of primary care patients when delivered remotely. Further research is warranted.

Psychosocial Characteristics by Weight Loss and Engagement in a Digital Intervention Supporting Self-Management of Weight

There is substantial variability in weight loss outcomes. Psychosocial characteristics underlying outcomes require better understanding, particularly on self-managed digital programs. This cross-sectional study examines differences in psychosocial characteristics by weight loss and engagement outcome, and which characteristics are most associated with weight loss, on a self-managed digital weight loss program. Some underexplored psychosocial characteristics are included, such as flourishing, or a sense of meaning and purpose in life. A questionnaire was emailed to a random sample of 10,000 current users at week 5 in the program and 10,000 current users at week 17. The questionnaire was completed by 2225 users, and their self-reported weight and recorded program engagement data were extracted from the program’s database. Multiple comparison tests indicated that mental health quality of life, depression, anxiety, work-life balance, and flourishing differed by weight loss outcome at program end (week 17; ≥5%, 2–5%, below 2%) and by engagement tertile at program beginning and end (weeks 5 and 17). Only anxiety was associated with weight loss in a backward stepwise regression controlling for engagement and sociodemographic characteristics. Flourishing did not predict weight loss overall but predicted the weight loss outcome group. Our findings have implications for creating more effective interventions for individuals based on psychosocial characteristics and highlight the potential importance of anxiety in underexplored self-managed digital programs.

Keeping weight off: Mindfulness-Based Stress Reduction alters amygdala functional connectivity during weight loss maintenance in a randomized control trial

Obesity is associated with significant comorbidities and financial costs. While behavioral interventions produce clinically meaningful weight loss, weight loss maintenance is challenging. The objective was to improve understanding of the neural and psychological mechanisms modified by mindfulness that may predict clinical outcomes. Individuals who intentionally recently lost weight were randomized to Mindfulness-Based Stress Reduction (MBSR) or a control healthy living course. Anthropometric and psychological factors were measured at baseline, 8 weeks and 6 months. Functional connectivity (FC) analysis was performed at baseline and 8 weeks to examine FC changes between regions of interest selected a priori, and independent components identified by independent component analysis. The association of pre-post FC changes with 6-month weight and psychometric outcomes was then analyzed. Significant group x time interaction was found for FC between the amygdala and ventromedial prefrontal cortex, such that FC increased in the MBSR group and decreased in controls. Non-significant changes in weight were observed at 6 months, where the mindfulness group maintained their weight while the controls showed a weight increase of 3.4% in BMI. Change in FC at 8-weeks between ventromedial prefrontal cortex and several ROIs was associated with change in depression symptoms but not weight at 6 months. This pilot study provides preliminary evidence of neural mechanisms that may be involved in MBSR’s impact on weight loss maintenance that may be useful for designing future clinical trials and mechanistic studies.

Sleep Extension: A Potential Target for Obesity Treatment

PURPOSE OF REVIEW

Sleep and obesity share a bidirectional relationship, and weight loss has been shown to enhance sleep. Aiming to extend sleep on its own or as part of a lifestyle intervention may attenuate health consequences of short sleep. This review highlights several sleep extension approaches, discusses feasibility of each, and summarizes findings relevant to obesity.

RECENT FINDINGS

Sleep extension in response to experimental sleep restriction demonstrates partial rescue of cardiometabolic dysfunction in some but not all studies. Adequate sleep on a nightly basis may be necessary for optimal health. While initial sleep extension interventions in habitually short sleepers have been met with obstacles, preliminary findings suggest that sleep extension or sleep hygiene interventions may improve glycemic control, decrease blood pressure, and enhance weight loss. Sleep extension has the potential to attenuate obesity risk and cardiometabolic dysfunction. There is tremendous opportunity for future research that establishes a minimum threshold for sleep extension effectiveness and addresses logistical barriers identified in seminal studies.

Ethnicity Differences in Sleep Changes Among Prehypertensive Adults Using a Smartphone Meditation App: Dose-Response Trial

Background

African Americans (AAs) experience greater sleep quality problems than non-Hispanic Whites (NHWs). Meditation may aid in addressing this disparity, although the dosage levels needed to achieve such benefits have not been adequately studied. Smartphone apps present a novel modality for delivering, monitoring, and measuring adherence to meditation protocols.

Objective

This 6-month dose-response feasibility trial investigated the effects of a breathing awareness meditation (BAM) app, Tension Tamer, on the secondary outcomes of self-reported and actigraphy measures of sleep quality and the modulating effects of ethnicity of AAs and NHWs.

Methods

A total of 64 prehypertensive adults (systolic blood pressure <139 mm Hg; 31 AAs and 33 NHWs) were randomized into 3 different Tension Tamer dosage conditions (5,10, or 15 min twice daily). Sleep quality was assessed at baseline and at 1, 3, and 6 months using the Pittsburgh Sleep Quality Index (PSQI) and 1-week bouts of continuous wrist actigraphy monitoring. The study was conducted between August 2014 and October 2016 (IRB #Pro00020894).

Results

At baseline, PSQI and actigraphy data indicated that AAs had shorter sleep duration, greater sleep disturbance, poorer efficiency, and worse quality of sleep (range P=.03 to P<.001). Longitudinal generalized linear mixed modeling revealed a dose effect modulated by ethnicity (P=.01). Multimethod assessment showed a consistent pattern of NHWs exhibiting the most favorable responses to the 5-min dose; they reported greater improvements in sleep efficiency and quality as well as the PSQI global value than with the 10-min and 15-min doses (range P=.04 to P<.001). Actigraphy findings revealed a consistent, but not statistically significant, pattern in the 5-min group, showing lower fragmentation, longer sleep duration, and higher efficiency than the other 2 dosage conditions. Among AAs, actigraphy indicated lower sleep fragmentation with the 5-min dose compared with the 10-min and 15-min doses (P=.03 and P<.001, respectively). The 10-min dose showed longer sleep duration than the 5-min and 15-min doses (P=.02 and P<.001, respectively). The 5-min dose also exhibited significantly longer average sleep than the 15-min dose (P=.03).

Conclusions

These findings indicate the need for further study of the potential modulating influence of ethnicity on the impact of BAM on sleep indices and user-centered exploration to ascertain the potential merits of refining the Tension Tamer app with attention to cultural tailoring among AAs and NHWs with pre-existing sleep complaints.

'You gotta have something to chew on': perceptions of stress-induced eating and weight gain among office workers in South Korea

Objective:

Job-related chronic stress has been discussed as a risk factor for weight change and metabolic disorders. The current study was conducted to understand the situations in which stress-induced eating occurs among office workers and how workers perceive stress to influence their daily eating practices and weight change.

Design:

In-depth, one-on-one interviews were conducted with office workers.

Setting:

Metropolitan areas in South Korea.

Participants:

Twenty-two office workers from thirteen companies participated in the study.

Results:

Most participants mentioned that they often felt work-related stress and reported various levels of perceived stress, as measured with open-ended questions. The main sources of work stress were (i) the nature of job characteristics, (ii) performance evaluations and (iii) relationships within the organisation. Participants linked stress with increased food consumption and cravings for sweet, savoury and greasy foods. Many participants emphasised the links between multiple health behaviours and stress. Not only dietary choices but also alcohol consumption, sleeping difficulty and insufficient physical activity were related to coping with work stress and demands. Finally, most participants who perceived work stress believed that their weight gain in adulthood was triggered by work stress.

Conclusions:

It is necessary to consider promoting behavioural modifications to support weight management and providing a means for stress management and the minimisation of stress-inducing working environments for workers to maintain or achieve a healthy weight and to prevent chronic disease incidence.

Longitudinal Study of Maternal BMI in Successive Pregnancies

OBJECTIVE

This longitudinal observational study examined BMI changes between successive pregnancies.

METHODS

The computerized medical records of women who attended a large maternity hospital between 2009 and 2017 for their first and second singleton deliveries were analyzed. Women who had their weight first measured after 15 weeks of gestation in either pregnancy were excluded.

RESULTS

Of the 9,724 women, the incidence of obesity increased from 11.6% in the first pregnancy to 16.0% in the second. The mean interpregnancy interval was 32.5 ± 15.7 months, and median BMI change was +0.6 kg/m² (interquartile range 2.2; P < 0.001). Overall, 10.3% (1,006/9,724) developed overweight and 5.9% (571/9,724) developed obesity by the second pregnancy. Of the nulliparas in the overweight category, 20.6% (526/2,558) entered the obesity category. The development of obesity by the second pregnancy was independently associated with a longer interpregnancy interval, formula feeding at hospital discharge, taking antidepressants or anxiolytics, and postnatal depression. Professional/managerial employment was associated with a lower odds ratio of developing obesity.

CONCLUSIONS

Maternal obesity increased between the first and second pregnancy, with one-fifth of nulliparas in the overweight category developing obesity. Pregnancy-related factors were identified as predictors of developing obesity. Further research is needed to assess whether interventions targeting these related factors could optimize maternal weight management between pregnancies.

Obesity: Perceived Self-Efficacy, Emotional Regulation and Stress

Abstract Obesity increases the risk of non-transmissible chronic illnesses decreasing the quality of life and life expectancy. This investigation aims to define a psychological profile for the treatment of the target population evaluating the levels of self-efficacy perceived, difficulty in emotional regulation and stress. Eighty-six adults participated, including 63 women and 23 men who pertained to OBEMOB in Temuco. The results indicate that the level of stress, trust in problem solving skills, as well as ability to solve problems and unexpected situations differs according to the type of obesity (p<0.05). In addition, there is a negative relation between general self-efficacy and difficulty of emotional regulation (rho=-0.419) while stress and BMI demonstrate a positive relation (rho=0,380).

Effect of a weight-loss stabilization following a weight reduction with or without meal replacement on cardiometabolic risk in overweight women. A randomized controlled trial

The objective of this study was to examine the effect of a 3-month weight-loss-stabilization phase (phase 2) following a successful 3-month weight-loss phase (phase 1), including a conventional energy-restricted diet with (MR) or without (C) meal replacement, on the cardiometabolic risk profile in 80 overweight women. In phase 2, both groups continued to significantly reduce weight and sustained the significant decreases in waist circumference and LDL-C. During the study, folic acid concentration significantly increased in the MR-group, while homocysteine concentration significantly worsened in the C-group. After 6 months, the number of women with hypertriglyceridemic waist was significantly reduced in both the groups, however with metabolic syndrome and metabolically unhealthy abdominal obesity (MUHAO) only in the MR-group. In conclusion, both strategies were equally effective for weight loss and weight-loss stabilization. The micronutrient supplementation with MR seemed to have an additional beneficial impact on the cardiometabolic risk in the MR-group versus the C-group.

Sleep quality as predictor of BMI in non-depressed caregivers of people with dementia

PURPOSE

Although most cross-sectional and longitudinal studies of children and adolescents have found a link between short duration of sleep and obesity, the literature related to adults provides a non-consensual framework. The aim of the present study was to examine the association between sleep quality and BMI in a population of caregivers looking after people suffering from dementia, with a view to identifying the moderating role of depressive symptoms in the relationship between sleep problems and BMI.

METHODS

A total of 117 subjects took part in the study, filling in a Sociodemographic Questionnaire, the Pittsburgh Sleep Quality Index, the Eating behavior Questionnaire and The Center for Epidemiologic Studies-Depression.

RESULTS

Depressive symptoms were greater in females than in males. The sample was divided into two subgroups based on depressive-symptom scores. Only within the subsample with low depressive symptoms, higher sleep disturbances influenced BMI positively. Within this subsample of participants with low depressive symptoms, the variables that seem to play a pivotal role in explaining a high BMI are: female gender, sleep problems, and diet quality, while within the subsample with high depressive symptoms only the female gender factor was found to influence BMI.

CONCLUSIONS

Depressive symptoms seem to act as moderators in the relationship between sleep and BMI. They should be evaluated to identify the risk of high BMI, and to differentiate clinical intervention, at least in this population, which experiences the stress of caregiving chronically, though not suffering from clinical eating disorders.

LEVEL OF EVIDENCE

Level II, cross-sectional study.

Short- and Long-Term Changes in Health-Related Quality of Life with Weight Loss: Results from a Randomized Controlled Trial

OBJECTIVE

The objective of this study was to determine the effects of weight loss and weight loss maintenance (WLM) on weight-specific health-related quality of life in a 66-week trial.

METHODS

Adults with obesity (N = 137, 86.1% female, 68.6% black, mean age = 46.1 years) who had lost ≥ 5% of initial weight in a 14-week intensive lifestyle intervention/low-calorie diet (LCD) program were randomly assigned to lorcaserin or placebo for an additional 52-week WLM program. The Impact of Weight on Quality of Life-Lite (IWQOL-Lite) scale (including five subscales), Patient Health Questionnaire-9 (depression), and Perceived Stress Scale were administered at the start of the 14-week LCD program, randomization, and week 52 of the randomized controlled trial (i.e., 66 weeks total).

RESULTS

Significant improvements in all outcomes, except weight-related public distress, were found following the 14-week LCD program (P values < 0.05). Improvements were largely maintained during the 52-week randomized controlled trial, despite weight regain of 2.0 to 2.5 kg across treatment groups. Participants who lost ≥ 10% of initial weight achieved greater improvements in physical function, self-esteem, sexual life, and the IWQOL-Lite total score than those who lost < 5% and did not differ from those who lost 5% to 9.9%.

CONCLUSIONS

Improvements in weight-specific health-related quality of life were achieved with moderate weight loss and were sustained during WLM.

Lower depression scores associated with greater weight loss among rural black women in a behavioral weight loss program

Depression and stress have been associated with less weight loss among some participants in behavioral weight loss (BWL) programs. The purpose of this study was to (1) measure the levels of depression and stress among a sample of black women living in rural Alabama and Mississippi who were participating in a BWL program and (2) examine the association between these psychosocial variables and weight loss outcomes of participants at 6 months. Overweight and obese black women in a BWL program (n = 409) completed validated surveys to measure depression and stress at baseline and 6 months. Weight and height were also measured at baseline and 6 months. Statistical tests were conducted to examine associations between depression, stress, and weight loss. Mean BMI at baseline was 38.68 kg/m². Participants achieved a 1.17 kg/m² reduction in BMI at 6 months. When comparing by baseline depression or stress categories, no significant differences in weight loss outcomes were observed. Analysis of continuous data revealed a significant correlation between baseline depression score and change in BMI. In adjusted models, change in depression score over time was significantly associated with change in weight. No differences in weight loss outcomes at 6 months were observed when comparing participants with and without elevated depressive symptoms or elevated stress at baseline. This suggests that potential participants may not need to be excluded from BWL programs based on pre-specified cut points for these psychological conditions. Greater improvements in depression were associated with better weight loss outcomes suggesting that more emphasis on reducing depression may lead to greater weight losses for black women in BWL programs.

Is poor sleep associated with obesity in older adults? A narrative review of the literature

INTRODUCTION

To address the worldwide epidemic of obesity, a sizable literature implicates sleep problems in the onset of obesity in younger populations. However, less is known about how this process may operate among older adults, which is of concern, given demographic shifts that have resulted in a much higher proportion of developed nations around the world reaching late life.

METHODS

We offer a current review of the literature studying older adults and examining associations between sleep quality and obesity in this population. We consider both subjective and objectively measured sleep as well as both cross-sectional and longitudinal studies offering stronger causal inference.

RESULTS

We discuss seemingly contradictory literature showing that shorter sleep duration as well as longer sleep duration are associated with obesity risk, then review studies that tested for non-linear relationships and reported a U-shape pattern, suggesting that too much or too little sleep is detrimental. Besides sleep duration, we discuss evidence showing that other forms of sleep dysfunction related to night-time awakenings, REM sleep, slow-wave sleep, and daytime sleepiness, which are indicators of sleep quality, are also linked to obesity. Specific psychological and physiological mediators and moderators, suggesting possible mechanisms whereby sleep problems may affect obesity in older adults, are described.

CONCLUSION

We conclude by discussing areas, where additional research could help clarify this association, considering such factors as medical comorbidities common in late life, and health-related behaviors that may stem from poor sleep (such as disordered eating behavior). Such insights will have great value for clinical practice.

LEVEL OF EVIDENCE

Level V, narrative review.

Does stress influence sleep patterns, food intake, weight gain, abdominal obesity and weight loss interventions and vice versa?

Decades of research have reported only weak associations between the intakes of specific foods or drinks and weight gain and obesity. Randomized controlled dietary intervention trials have only shown very modest effects of changes in nutrient intake and diet composition on body weight in obese subjects. This review summarizes the scientific evidence on the role mental stress (either in or not in association with impaired sleep) may play in poor sleep, enhanced appetite, cravings and decreased motivation for physical activity. All these factors contribute to weight gain and obesity, possibly via decreasing the efficacy of weight loss interventions. We also review evidence for the role that lifestyle and stress management may play in achieving weight loss in stress-vulnerable individuals with overweight.

Quality of Life and Mental Health in Older Adults with Obesity and Frailty: Associations with a Weight Loss Intervention

OBJECTIVE

To examine the bi-directional associations of a weight loss intervention with quality of life and mental health in obese older adults with functional limitations.

DESIGN

Combined-group analyses of secondary variables from the MEASUR-UP randomized controlled trial.

SETTING

Academic medical center.

PARTICIPANTS

Obese community-dwelling men and women (N = 67; age ≥60; BMI ≥30) with functional limitations (Short Physical Performance Battery [SPPB] score of 4-10 out of 12).

INTERVENTION

Six-month reduced calorie diet at two protein levels.

MEASUREMENTS

Weight, height, body composition, physical function, medical history, and mental health and quality of life assessments (Center for Epidemiologic Studies Depression Scale [CES-D]; Profile of Mood States [POMS], Pittsburgh Sleep Quality Index [PSQI]; Perceived Stress Scale [PSS]; Satisfaction with Life Scale [SWLS]; and Short Form Health Survey [SF-36]) were acquired at 0, 3 and 6 months.

RESULTS

Physical composite quality of life (SF-36) improved significantly at 3 months (β = 6.29, t2,48 = 2.60, p = 0.012) and 6 months (β = 10.03, t2,48 = 4.83, p < 0.001), as did several domains of physical quality of life. Baseline depression symptoms (CES-D and POMS) were found to predict lower amounts of weight loss; higher baseline sleep latency (PSQI) and anger (POMS) predicted less improvement in physical function (SPPB).

CONCLUSION

The significant bi-directional associations found between a weight loss intervention and mental health/quality of life, including substantial improvements in physical quality of life with obesity treatment, indicate the importance of considering mental health and quality of life as part of any weight loss intervention for older adults.

Mind-Body Training for At-Risk Populations: Preventive Medicine at its Best

This article is a companion to "Transcendental meditation and reduced trauma symptoms in female inmates: A randomized controlled pilot study," available at: www.thepermanentejournal.org/issues/2017/6290-meditation.html, and on page 39 and to "Reduced trauma symptoms and perceived stress in male prison inmates through the Transcendental Meditation program: A randomized controlled trial," available at: www.thepermanentejournal.org/issues/2016/fall/6227-incarcerated-healthcare.html and in the Fall 2016 issue of The Permanente Journal.

Diet and Sleep Physiology: Public Health and Clinical Implications

This mini-review examines the complex relationship between diet and sleep and explores the clinical and public health implications of the current evidence. Dietary quality and intake of specific nutrients can impact regulatory hormonal pathways to alter sleep quantity and quality. Sleep, in turn, affects the intake of total energy, as well as of specific foods and nutrients, through biological and behavioral mechanisms. Initial research in this field focused primarily on the effects of short sleep duration on nutritional quality. However, more recent studies have explored the dynamic relationship between long sleep duration and diet. Current evidence suggests that extremes of sleep duration alter sleep patterns, hormonal levels, and circadian rhythms, which contribute to weight-related outcomes and obesity, and other risk factors for the development of chronic disease such as type 2 diabetes and cardiovascular disease. These patterns may begin as early as childhood and have impacts throughout the life course. Given that non-communicable diseases are among the leading causes of death globally, deeper understanding of the interactions between sleep and nutrition has implications for both public health and clinical practice.

Does psychosocial stress explain socioeconomic inequities in 9-year weight gain among young women?

OBJECTIVE

This study investigated the contribution of psychosocial stress to mediating inequities in weight gain by educational status in a large cohort of young Australian women over a 9-year follow-up.

METHODS

This observational cohort study used survey data drawn from 4,806 women, aged 22 to 27 years at baseline (2000), participating in the Australian Longitudinal Study on Women's Health, who reported their education level (2000), perceived stress (2003), and weight (2003 and 2012). Using a causal inference framework based on counterfactuals for mediation analysis, we fitted linear or logistic regression models to examine the total effect, decomposed into natural direct and indirect effects via perceived stress, of education level (highest qualification completed: up to year 12/trade or diploma vs. university) on weight change.

RESULTS

Women with lower education gained more weight over 9 years (6.1 kg, standard deviation [SD] 9.5) than women with higher education (3.8 kg, SD 7.7; P < 0.0001) and were more likely to be very or extremely stressed. The higher weight gain associated with low education was not mediated through perceived stress (per SD increase, percent mediated: 1.0%).

CONCLUSIONS

Education-based inequities in weight gain over time were not attributable to greater psychosocial stress among women with lower education levels.

Mental health and behavioral weight loss: 24-month outcomes in Veterans

BACKGROUND

Individuals with mental health (MH) disorders have an increased risk of being overweight/obese; however research on behavioral weight loss interventions has been limited. A priori hypothesis was that Veterans with serious mental illness (SMI) and/or affective disorders (AD) would lose significantly less weight and have a different pattern of weight loss than Veterans without these diagnoses.

METHODS

Secondary data analysis of ASPIRE-VA study, three-arm randomized, effectiveness weight loss trial among Veterans (n=409) categorized by MH diagnoses: 1) SMI, 2) AD without SMI, or 3) No SMI/No AD. Linear mixed-effects model analyzed weight changes from baseline thru 24 months.

RESULTS

SMI and AD were diagnosed in 10% (n=41) and 31% (n=125). Participants attended approximately 15 sessions from baseline to 24 months. On average, participants lost a modest amount of weight over 24 months regardless of MH diagnosis. Longitudinally, no statistically significant differences were found in weight loss patterns by MH diagnosis. Unadjusted average weight loss (kg) was 1.6±4.0 at 3 months (n=373), 1.9±6.5 at 12 months (n=361), 1.5±7.8 at 18 months (n=289), and 1.4±8.0 at 24 months (n=279).

LIMITATIONS

ASPIRE-VA study was not designed or powered to detect weight loss differences among MH diagnostic groups.

CONCLUSIONS

Veterans achieved and maintained modest weight loss, through 24 months, with the three behavioral weight loss interventions. Contrary to our hypotheses, the amount and pattern of weight loss did not differ by MH diagnosis. Greater inclusion of individuals with MH diagnoses may be warranted in behavioral weight loss interventions not specifically tailored for them.

A Blended Web-Based Gaming Intervention on Changes in Physical Activity for Overweight and Obese Employees: Influence and Usage in an Experimental Pilot Study

Background

Addressing the obesity epidemic requires the development of effective interventions aimed at increasing physical activity (PA). eHealth interventions with the use of accelerometers and gaming elements, such as rewarding or social bonding, seem promising. These eHealth elements, blended with face-to-face contacts, have the potential to help people adopt and maintain a physically active lifestyle.

Objective

The aim of this study was to assess the influence and usage of a blended Web-based gaming intervention on PA, body mass index (BMI), and waist circumference among overweight and obese employees.

Methods

In an uncontrolled before-after study, we observed 52 health care employees with BMI more than 25 kg/m², who were recruited via the company’s intranet and who voluntarily participated in a 23-week Web-based gaming intervention, supplemented (blended) with non-eHealth components. These non-eHealth components were an individual session with an occupational health physician involving motivational interviewing and 5 multidisciplinary group sessions. The game was played by teams in 5 time periods, aiming to gain points by being physically active, as measured by an accelerometer. Data were collected in 2014 and 2015. Primary outcome was PA, defined as length of time at MET (metabolic equivalent task) ≥3, as measured by the accelerometer during the game. Secondary outcomes were reductions in BMI and waist circumference, measured at baseline and 10 and 23 weeks after the start of the program. Gaming elements such as “compliance” with the game (ie, days of accelerometer wear), “engagement” with the game (ie, frequency of reaching a personal monthly target), and “eHealth teams” (ie, social influence of eHealth teams) were measured as potential determinants of the outcomes. Linear mixed models were used to evaluate the effects on all outcome measures.

Results

The mean age of participants was 48.1 years; most participants were female (42/51, 82%). The mean PA was 86 minutes per day, ranging from 6.5 to 223 minutes, which was on average 26.2 minutes per day more than self-reported PA at baseline and remained fairly constant during the game. Mean BMI was reduced by 1.87 kg/m² (5.6%) and waist circumference by 5.6 cm (4.8%). The univariable model showed that compliance, engagement, and eHealth team were significantly associated with more PA, which remained significant for eHealth team in the multivariable model.

Conclusions

This blended Web-based gaming intervention was beneficial for overweight workers in becoming physically active above the recommended activity levels during the entire intervention period, and a favorable influence on BMI and waist circumference was observed. Promising components in the intervention, and thus targets for upscaling, are eHealth teams and engagement with the game. Broader implementation and long-term follow-up can provide insights into the sustainable effects on PA and weight loss and into who benefits the most from this approach.

Exploring the need for interventions to manage weight and stress during interconception

Interventions to manage weight and stress during the interconception period (i.e., time immediately following childbirth to subsequent pregnancy) are needed to promote optimal maternal and infant health outcomes. To address this gap, we summarize the current state of knowledge, critically evaluate the research focused on weight and stress management during the interconception period, and provide future recommendations for research in this area. Evidence supports the importance of weight and stress management during the reproductive years and the impact of weight on maternal and child health outcomes. However, evidence-based treatment models that address postpartum weight loss and manage maternal stress during the interconception period are lacking. This problem is further compounded by inconsistent definitions and measurements of stress. Recommendations for future research include interventions that address weight and stress tailored for women in the interconception period, interventions that address healthcare providers' understanding of the significance of weight and stress management during interconception, and long-term follow-up studies that focus on the public health implications of weight and stress management during interconception. Addressing obesity and stress during the interconception period via a reproductive lens will be a starting point for women and their families to live long and healthy lives.

Formative evaluation on cultural tailoring breathing awareness meditation smartphone apps to reduce stress and blood pressure

BACKGROUND

Chronic stress is an independent risk factor for essential hypertension (EH), cardiovascular disease (CVD), and is sometimes confronted by mal-adaptive coping behaviors (e.g., stress eating, excessive alcohol consumption, etc.). Pre-essential hypertension (preEH) is the leading predictor of future EH status. Breathing awareness meditation (BAM) can result in clinically beneficial blood pressure (BP) reductions, though face-to-face sessions presents barriers to reach those in need. The purpose of this study was to identify if a culturally tailored approach is needed in the design and preferences between groups of preEH African American and White adults toward using a smartphone BAM app, the Tension Tamer (TT) app.

METHODS

TT includes audio delivered BAM instructions, real-time heart rate, feedback graphs and motivational reinforcement text messaging. Questionnaires and two focus groups each of African American and White adults, [n=34, mean age =43.1 years, (SD 13.8 years), 44.1% African American] were conducted to understand stress, EH knowledge, app usage along with feedback from a hands-on demonstration of TT. Grounded theory using NVivo 10 was used to develop themes and combined with the questionnaires in the analysis.

RESULTS

No racial differences were found in the analysis including app use scenarios, preferences, knowledge, technology use or the attitudes and acceptance toward mobile health (mHealth) programs. Reported stress was high for African Americans [PSS-4: mean 6.87 (SD 3.3) versus mean 4.56 (SD 2.6); P=0.03]. Four main themes were found: (I) stress was pervasive; (II) coping strategies were both positive and negative; (III) BAM training was easy to incorporated; and (IV) tracking stress responses was useful. Responses suggest that additional personalization of app interfaces may drive ownership and adherence to protocols. Measures and reports of heart rate monitoring while in session were favorably viewed with low issues with confidentiality or trust issues on collected session data.

CONCLUSIONS

Results suggest that a culturally tailored approach may be unnecessary in the design of BAM apps. Further investigation is warranted for other racial groups, age ranges, and disease conditions.

Combining Persuasive Technology With Behavioral Theory to Support Weight Maintenance Through a Mobile Phone App: Protocol for the MotiMate App

BACKGROUND

The prevalence of health-focused mobile phone apps available for download increases daily, with weight management apps being among the most proliferative. However, most lack theoretic grounding or evidence of efficacy. There is a significant body of literature which provides evidence for behaviors which are associated with successful weight loss maintenance. Behavioral theory also provides further insight regarding successful behavior change and maintenance.

OBJECTIVE

We aimed to apply this knowledge to the development of the functionality of an app targeting weight loss maintenance.

METHODS

We have subsequently undertaken the development of a persuasive and behavior targeting mobile app (MotiMate) to assist in maintenance of weight loss. MotiMate combines persuasive and behavior change theories in a practical targeted tool through its motivational messages, personalized feedback, and intelligent supportive tools to manage weight, food, exercise, mood and stress.

RESULTS

The development and trial of MotiMate received funding support in May 2014. All 88 volunteers started the trial by December 2014 and were in the process of completing their final visits when this paper was submitted (May 2015). Data analysis is currently underway.

CONCLUSIONS

The paper has presented a scientifically informed mobile phone app to support weight loss maintenance. Further evaluation of its efficacy is in progress.

TRIAL REGISTRATION

ANZCTR 12614000474651; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=366120 (Archived by WebCite at http://www.webcitation.org/6eJeQiKxi).

An Evidence-based Guide for Obesity Treatment in Primary Care

On behalf of the Society of Behavioral Medicine, we present a model of obesity management in primary care based on the 5As counseling framework (Assess, Advise, Agree, Assist, and Arrange). Primary care physicians can use the 5As framework to build and coordinate a multidisciplinary team that: 1) addresses patients' psychosocial issues and medical and psychiatric comorbidities associated with obesity treatment failure; 2) delivers intensive counseling that consists of goal setting, self-monitoring, and problem solving; and 3) connects patients with community resources to assist them in making healthy lifestyle changes. This paper outlines reimbursement guidelines and weight-management counseling strategies, and provides a framework for building a multidisciplinary team to maximize the patient's success at weight management.

Sleep disturbances, body fat distribution, food intake and/or energy expenditure: pathophysiological aspects

Data from cross-sectional and longitudinal studies have illustrated a relationship between short sleep duration (SSD) and weight gain. Individuals with SSD are heavier and gain more weight over time than normal-duration sleepers. This sleep-obesity relationship may have consequences for obesity treatments, as it appears that short sleepers have reduced ability to lose weight. Laboratory-based clinical studies found that experimental sleep restriction affects energy expenditure and intake, possibly providing a mechanistic explanation for the weight gain observed in chronic short sleepers. Specifically, compared to normal sleep duration, sleep restriction increases food intake beyond the energetic costs of increased time spent awake. Reasons for this increased energy intake after sleep restriction are unclear but may include disrupted appetite-regulating hormones, altered brain mechanisms involved in the hedonic aspects of appetite, and/or changes in sleep quality and architecture. Obstructive sleep apnea (OSA) is a disorder at the intersection of sleep and obesity, and the characteristics of the disorder illustrate many of the effects of sleep disturbances on body weight and vice versa. Specifically, while obesity is among the main risk factors for OSA, the disorder itself and its associated disturbances in sleep quality and architecture seem to alter energy balance parameters and may induce further weight gain. Several intervention trials have shown that weight loss is associated with reduced OSA severity. Thus, weight loss may improve sleep, and these improvements may promote further weight loss. Future studies should establish whether increasing sleep duration/improving sleep quality can induce weight loss.

Association between actigraphic sleep metrics and body composition

PURPOSE

Determine if individuals with poor sleep characteristics (i.e., late sleep onset or wake times, short sleep duration, long sleep latency, low sleep efficiency, high wake after sleep onset) have greater body mass index (BMI = kg/m(2)) or body fat.

METHODS

Data for these cross-sectional analyses were from the Energy Balance Study (University of South Carolina). Participants were between 21 and 35 years of age and had a BMI of 20 to 35 kg/m(2). Body fat percent was measured by dual X-ray absorptiometry. Sleep and physical activity were measured by actigraphy (BodyMedia's SenseWear physical activity armband). General linear models were used to estimate mean BMI and body fat percent by sleep metric categories.

RESULTS

Greater BMI and body fat percent were associated with low sleep efficiency (BMI = 25.5 vs. 24.8 kg/m(2), P < .01; body fat = 27.7% vs. 26.5%, P = .04) and high wake after sleep onset (BMI = 25.6 vs. 25.0 kg/m(2), P = .02; body fat = 28.0% vs. 26.7%, P = .03). Elevated BMI or body fat percent also were observed for later wake times, shorter sleep duration, and longer sleep latency. Sex modified the association between wake times and body composition.

CONCLUSIONS

Understanding the complex relationships between sleep and health outcomes could help reduce chronic disease burden by incorporating sleep components, measured through novel noninvasive techniques (SenseWear armband), into weight loss interventions.

Factors associated with participant retention in a clinical, intensive, behavioral weight management program

BACKGROUND

We sought to identify factors associated with participant retention in a 2-year, physician-lead, multidisciplinary, clinical weight management program that employs meal replacements to produce weight loss and intensive behavioral interventions and financial incentives for weight loss maintenance. We studied 270 participants enrolled in 2010 and 2011. Sociodemographic factors, health insurance, distance traveled, body mass index, comorbidities, health-related quality-of-life, and depression were explored as potential predictors of retention.

RESULTS

Mean age was 49 ± 8 years and BMI was 41 ± 5 kg/m(2). Retention was excellent at 3 months (90%) and 6 months (83%). Attrition was greatest after participants were transitioned to regular foodstuffs and fell to 67% at 12 months and 51% at 2 years. Weight decreased by 15 ± 12 kg and BMI decreased by 5.1 ± 4.0 kg/m(2) in 2-year completers. Older age, lower baseline BMI, and financial incentives for program participation were independently associated with retention. Fewer depressive symptoms at baseline were associated with retention.

CONCLUSIONS

This multidisciplinary, clinical, weight management program demonstrated high retention and excellent outcomes. Older age at baseline, less extreme obesity, and financial incentives were associated with program retention.

Psychosocial stress is associated with obesity and diet quality in Hispanic/Latino adults

PURPOSE

To examine the association of psychosocial stress with obesity, adiposity, and dietary intake in a diverse sample of Hispanic/Latino adults.

METHODS

Participants were 5077 men and women, aged 18 to 74 years, from diverse Hispanic/Latino ethnic backgrounds. Linear regression models were used to assess the association of ongoing chronic stressors and recent perceived stress with measures of adiposity (waist circumference and percentage body fat) and dietary intake (total energy, saturated fat, alternative healthy eating index-2010). Multinomial logistic models were used to describe the odds of obesity or overweight relative to normal weight.

RESULTS

Greater number of chronic stressors and greater perceived stress were associated with higher total energy intake. Greater recent perceived stress was associated with lower diet quality as indicated by alternative healthy eating index-2010 scores. Compared with no stressors, reporting three or more chronic stressors was associated with higher odds of being obese (odds ratio = 1.5, 95% confidence interval [CI] 1.01-2.1), greater waist circumference (β = 3.3, 95% CI 1.0-5.5), and percentage body fat (β = 1.5, 95% CI 0.4-2.6).

CONCLUSIONS

The study found an association between stress and obesity and adiposity measures, suggesting that stress management techniques may be useful in obesity prevention and treatment programs that target Hispanic/Latino populations.

Is there a "metabolic-mood syndrome"? A review of the relationship between obesity and mood disorders

Obesity and mood disorders are highly prevalent and co-morbid. Epidemiological studies have highlighted the public health relevance of this association, insofar as both conditions and its co-occurrence are associated with a staggering illness-associated burden. Accumulating evidence indicates that obesity and mood disorders are intrinsically linked and share a series of clinical, neurobiological, genetic and environmental factors. The relationship of these conditions has been described as convergent and bidirectional; and some authors have attempted to describe a specific subtype of mood disorders characterized by a higher incidence of obesity and metabolic problems. However, the nature of this association remains poorly understood. There are significant inconsistencies in the studies evaluating metabolic and mood disorders; and, as a result, several questions persist about the validity and the generalizability of the findings. An important limitation in this area of research is the noteworthy phenotypic and pathophysiological heterogeneity of metabolic and mood disorders. Although clinically useful, categorical classifications in both conditions have limited heuristic value and its use hinders a more comprehensive understanding of the association between metabolic and mood disorders. A recent trend in psychiatry is to move toward a domain specific approach, wherein psychopathology constructs are agnostic to DSM-defined diagnostic categories and, instead, there is an effort to categorize domains based on pathogenic substrates, as proposed by the National Institute of Mental Health (NIMH) Research Domain Criteria Project (RDoC). Moreover, the substrates subserving psychopathology seems to be unspecific and extend into other medical illnesses that share in common brain consequences, which includes metabolic disorders. Overall, accumulating evidence indicates that there is a consistent association of multiple abnormalities in neuropsychological constructs, as well as correspondent brain abnormalities, with broad-based metabolic dysfunction, suggesting, therefore, that the existence of a "metabolic-mood syndrome" is possible. Nonetheless, empirical evidence is necessary to support and develop this concept. Future research should focus on dimensional constructs and employ integrative, multidisciplinary and multimodal approaches.