There is growing concern about the concept that exposure to environmental chemicals may be contributing to the obesity epidemic. However, there is no consensus on the obesogenic effects of emerging contaminants from a toxicological and environmental perspective. The potential human exposure and experimental evidence for obesogenic effects of emerging contaminants need to be systematically discussed. The main objective of this review is to provide recommendations for further subsequent policy development following a critical analysis of the literature for humans and experimental animals exposed to emerging contaminants. This article reviews human exposure to emerging contaminants (with a focus on antimicrobials, preservatives, water and oil repellents, flame retardants, antibiotics and bisphenols) and the impact of emerging contaminants on obesity. These emerging contaminants have been widely detected in human biological samples. Epidemiological studies provide evidence linking exposure to emerging contaminants to the risks of obesity in humans. Studies based on animal models and adipose cells show the obesogenic effects of emerging contaminants and identify modes of action by which contaminants may induce changes in body fat accumulation and lipid metabolic homeostasis. Some knowledge gaps in this area and future directions for further investigation are discussed.

Maternal obesity rates are increasing significantly, posing substantial risks to both mothers and their children. This study aims to introduce health policies addressing maternal obesity, identify preventive interventions, and highlight scientific gaps necessitating further research.We identified documents through electronic searches in PubMed, CINAHL Plus, EMBASE, and grey literature sources (ministry of health websites, national gynecology and obstetrics associations) from January 2013 to August 2023, updated in June 2024. The inclusion criteria focused on English-language documents discussing interventions or health policies that promote weight loss through lifestyle changes during pregnancy.A total of 22 documents (10 studies and 12 guidelines) were included. 12 studies (N=1244) identified via databases; included two Clinical Practice Guidelines (CPGs) from Canada and Singapore. Other 10 CPGs sourced from governmental websites and national associations: England (1), Australia (1), New Zealand (1), combined Australia and New Zealand (1), Canada (3), USA (1), Ireland (1), Germany (1). 10 guidelines focused on obesity in pregnancy, two on weight management during pregnancy. Covered interventions across pre-pregnancy, pregnancy, and postpartum periods (9 guidelines); pre-pregnancy and pregnancy (2); exclusively postpartum (1). Seven guidelines offered evidence-based recommendations on maintaining healthy weight in mothers, largely based on expert opinions.Maternal obesity poses significant risks to both mothers and children, underscoring the need for effective health policies and systems. However, few countries have integrated adequate responses into their healthcare policies and guidelines for professionals. Limited evidence exists on optimal practices to improve reproductive health outcomes in obese women. Hence, the crucial need to developing comprehensive guidelines and proactive strategies to manage maternal obesity. These measures can improve outcomes and reduce healthcare costs. Increased focus on research and policymaking is essential to protect the health of mothers and their children.

Objective To evaluate and compare the measurement properties of the EQ-5D-5L and SF-6Dv2 among Chinese overweight and obesity populations.Methods A representative sample of Chinese overweight and obesity populations was recruited stratified by age, gender, body mass index (BMI), and area of residence. Social-demographic characteristics and self-reported EQ-5D-5L and SF-6Dv2 responses were collected through the online survey. The agreement was assessed using intraclass correlation coefficients (ICC). Convergent validity and known-group validity were examined using Spearman's rank correlation and effect sizes, respectively. The test-retest reliability was assessed using among a subgroup of the total sample. Sensitivity was compared using relative efficiency and receiver operating characteristic.Results A total of 1000 respondents (52.0% male, mean age 51.7 years, 67.7% overweight, 32.3% obesity) were included in this study. A higher ceiling effect was observed in EQ-5D-5L than in SF-6Dv2 (30.6% vs. 2.1%). The mean (SD) utility was 0.851 (0.195) for EQ-5D-5L and 0.734 (0.164) for SF-6Dv2, with the ICC of the total sample was 0.639 (p < 0.001). The Spearman's rank correlation (range: 0.186-0.739) indicated an acceptable convergent validity between the dimensions of EQ-5D-5L and SF-6Dv2. The EQ-5D-5L showed basically equivalent discriminative capacities with the SF-6Dv2 (ES: 0.517-1.885 vs. 0.383-2.329). The ICC between the two tests were 0.939 for EQ-5D-5L and 0.972 for SF-6Dv2 among the subgroup (N = 150). The SF-6Dv2 had 3.7-170.1% higher efficiency than the EQ-5D-5L at detecting differences in self-reported health status, while the EQ-5D-5L was found to be 16.4% more efficient at distinguishing between respondents with diabetes and non-diabetes.Conclusions Both the EQ-5D-5L and SF-6Dv2 showed comparable reliability, validity, and sensitivity when used in Chinese overweight and obesity populations. The two measures may not be interchangeable given the systematic difference in utility values between the EQ-5D-5L and SF-6Dv2. More research is needed to compare the responsiveness.

BACKGROUND: Self-monitoring smartphone apps and health coaching have both individually been shown to improve weight-related outcomes, but their combined effects remain unclear. OBJECTIVE: This study aims to examine the effectiveness of combining self-monitoring apps with health coaching on anthropometric, cardiometabolic, and lifestyle outcomes in people with overweight and obesity. METHODS: Relevant articles published from inception till June 9, 2022, were searched through 8 databases (Embase, CINAHL, PubMed, PsycINFO, Scopus, The Cochrane Library, and Web of Science). Effect sizes were pooled using random-effects models. Behavioral strategies used were coded using the behavior change techniques taxonomy V1. RESULTS: A total of 14 articles were included, representing 2478 participants with a mean age of 39.1 years and a BMI of 31.8 kg/m2. Using combined intervention significantly improved weight loss by 2.15 kg (95% CI -3.17 kg to -1.12 kg; P<.001; I2=60.3%), waist circumference by 2.48 cm (95% CI -3.51 cm to -1.44 cm; P<.001; I2=29%), triglyceride by 0.22 mg/dL (95% CI -0.33 mg/dL to 0.11 mg/dL; P=.008; I2=0%), glycated hemoglobin by 0.12% (95% CI -0.21 to -0.02; P=.03; I2=0%), and total calorie consumption per day by 128.30 kcal (95% CI -182.67 kcal to -73.94 kcal; P=.003; I2=0%) kcal, but not BMI, blood pressure, body fat percentage, cholesterol, and physical activity. Combined interventional effectiveness was superior to receiving usual care and apps for waist circumference but only superior to usual care for weight loss. CONCLUSIONS: Combined intervention could improve weight-related outcomes, but more research is needed to examine its added benefits to using an app.

Abstract Objectives: Poor nutrition links to chronic diseases, emphasizing the need for optimized diets. The EU-funded project PREVENTOMICS, introduced personalized nutrition to address this. This study aims to perform a health technology assessment (HTA) comparing personalized nutrition interventions developed through this project, with non-personalized nutrition interventions (control) for people with normal weight, overweight, or obesity. The goal is to support decisions about further development and implementation of personalized nutrition. Methods: The PREVENTOMICS interventions were evaluated using the European Network for HTA Core Model, which includes a methodological framework that encompasses different domains for value assessment. Information was gathered via [1] different statistical analyses and modeling studies, [2] questions asked of project partners and, [3] other (un)published materials. Results: Clinical trials of PREVENTOMICS interventions demonstrated different body mass index changes compared to control; differences ranged from -0.80 to 0.20 kg/m2. Long-term outcome predictions showed generally improved health outcomes for the interventions; some appeared cost-effective (e.g., interventions in UK). Ethical concerns around health inequality and the lack of specific legal regulations for personalized nutrition interventions were identified. Choice modeling studies indicated openness to personalized nutrition interventions; decisions were primarily affected by intervention's price. Conclusions: PREVENTOMICS clinical trials have shown promising effectiveness with no major safety concerns, although uncertainties about effectiveness exist due to small samples (n=60-264) and short follow-ups (10-16 weeks). Larger, longer trials are needed for robust evidence before implementation could be considered. Among other considerations, developers should explore financing options and collaborate with policymakers to prevent exclusion of specific groups due to information shortages.

Background: Gestational diabetes mellitus was associated with increased risks of complications during pregnancy and delivery. The efficacy of probiotics for preventing atopic disease among overweight and obese pregnant women has not been a unified conclusion. Therefore, we aimed to determine the efficacy and safety of probiotics supplementation for overweight and obese pregnant women. Methods: We searched the Cochrane Library, Embase, PubMed, and Web of Science for randomized controlled trials from the earliest publication date available to September 23, 2020, regardless of language or publication status. Two reviewers independently extracted data with a standardized form. When disagreements arose, a third investigator was consulted. Data was pooled using the generic inverse variance method and expressed as mean differences and relative risk with 95% confidence interval (CI). Heterogeneity was measured and quantified by I-2 statistic. Results: There were no significant differences between probiotics and placebo on GDM (RR = 1.03; 95% CI, 0.81-1.30; P = 0.821; I-2 = 38.7%, P = 0.180), excess gestational weight gain (RR = 0.92; 95% CI, 0.79 -1.06; P = 0.223; I-2 = 91.2%, P = 0.001) and neonatal birth weight (WMD = 28.47; 95% CI, -34.80-91.73; P = 0.383; I-2 = 4.5%, P = 0.381). In addition, probiotics might increase the risk of preeclampsia including superimposed (RR = 1.91; 95% CI, 1.03-3.55; P = 0.001; I-2 = 0.0%, P = 0.994). Conclusions: Probiotics had no better efficacy for prevention of atopic disease in overweight or obese pregnant women. In contrast, excessive probiotics supplementation might increase the risk of preeclampsia. More data will be necessary to determine the prevention efficacy of probiotics with consideration of real-world and other epidemiological settings. (C) 2022 European Society for Clinical Nutrition and Metabolism. Published by Elsevier Ltd. All rights reserved.

The lack of access to fruit/vegetable markets (FVMs) is thought to be a risk factor for childhood obesity by discouraging healthy dietary behaviours while encouraging access to venues that offer more unhealthy food (and thus the compensatory intake of those options). However, findings remain mixed, and there has not been a review of the association between FVM access and childhood obesity. A comprehensive and systematic understanding of this epidemiologic relationship is important to the design and implementation of relevant public health policies. In this study, a literature search was conducted in the Cochrane Library, PubMed, and Web of Science for articles published before 1 January 2019 that focused on the association between neighbourhood FVM access and weight-related behaviours and outcomes among children and adolescents. Eight cross-sectional studies, two longitudinal studies, and one ecological study conducted in five countries were identified. The median sample size was 2142 ± 1371. Weight-related behaviours and outcomes were used as the outcome variable in two and eight studies, respectively, with one study using both weight-related behaviours and outcomes as outcome variables. We still found a negative association between access to FVMs in children's residential and school neighbourhoods and weight-related behaviours and an inconclusive association between FVM access and overweight or obesity. This conclusion should be regarded as provisional because of a limited amount of relevant evidence and may not be a strong guide for policymaking. Nonetheless, it points to an important research gap that needs to be filled if successful public health interventions are to be undertaken.

The alarming prevalence of adult obesity warrants consideration of treatments with broad reach; digital health interventions meet this need and have demonstrated efficacy for weight loss. One approach that can be delivered remotely is motivational interviewing - a counseling style that helps resolve ambivalence to change unhealthy behavior. This is the first review to systematically examine eHealth and telehealth interventions that incorporate motivational interviewing for weight loss. We searched four electronic databases (PubMed, Embase, PsycInfo, CINAHL) for publications from November 2009-May 2018. Included papers were weight loss RCTs conducted among adults with overweight or obesity that examined eHealth or telehealth interventions with motivational interviewing, compared to any type of treatment arm without it. Results were presented separately by comparison arm (control vs. active comparator). Sixteen papers (15 trials) were included. Twelve used telephone-based counseling to deliver motivational interviewing, two used email and phone, and one used online chats. When compared to a no-treatment control arm, the motivational interviewing arm was associated with greater weight loss on 6 of 11 occasions, but performed better than an active comparator on only 1 of 7 occasions. Retention and engagement were generally high, though few trials examined the relation with weight loss. No trial had high risk of bias, but five lacked power calculations and only two reported fidelity to motivational interviewing. Telephone-based interventions that incorporate motivational interviewing hold promise as effective obesity treatments. There is a dearth of evidence to support the use of motivational interviewing via eHealth, signaling a needed research area.

Understanding how adherence to dietary self-monitoring with apps has been defined is a first step toward examining the relationship between adherence and weight loss. The purpose of this review was to explore how adherence to dietary self-monitoring has been defined in the empirical literature that addresses weight loss app use by overweight and obese adults. The integrative review method and the preferred reporting items for systematic reviews and meta-analyses guided this review. Scientific databases (n=5) were searched, which yielded 29 studies. Studies were screened, evaluated for data quality, and then analyzed according to the constant comparison method. Most studies were weak to moderate quality. Results indicated that adherence was operationally defined in two ways. Adherence was defined as either adherent or nonadherent based on the completion of recording a minimum amount of calorie intake or a calorie amount within a specific range of calories. Another way that adherence was defined was the frequency of dietary self-monitoring, which included the frequency of dietary intake recording, interaction with apps, and the timing of recording. Some studies defined adherence in both ways. Most included studies lacked diversity in study samples. Until a consensus is reached, it may be prudent to study multiple indicators of adherence to dietary self-monitoring using apps, and their respective relationships with weight loss. Studies are needed that address the type and degree of adherence to dietary self-monitoring with an app that is associated with weight loss in diverse populations.

Childhood obesity increases the risk for poor health during childhood, as well as for adult obesity and its associated comorbidities. Children from racial/ethnic minority groups or who live in poverty experience elevated rates of obesity. One potential method for reducing childhood obesity disparities is to involve community health workers (frontline public health workers who are trusted members of and/or have an unusually close understanding of the community served). The purpose of this systematic review and meta-analysis was to explore the role and effectiveness of community health workers in childhood obesity interventions. Eleven studies met inclusion criteria, of which nine were eligible for inclusion in the meta-analysis. Results demonstrated that community health workers played various roles in childhood obesity interventions in the home, clinic, school, and community setting. Interventions focused primarily on children from underserved populations. Meta-analytic findings demonstrated a small but significant impact on BMIz and BMI percentile (BMIz [7 studies]: -0.08, 95% CI: -0.15, -0.01, p = 0.03, I(2) = 39.4%; BMI percentile [2 studies]: -0.25, 95% CI: -0.38, -0.11, p < 0.01, I(2) = 0%). Findings from this review demonstrate that partnering with community health workers may be an important strategy for reducing childhood obesity disparities and advancing health equity.

Physical inactivity and obesity are modifiable risk factors for cardiovascular disease, particularly in women. eHealth interventions may increase physical activity and improve obesity-related outcomes among women. The objective of this study was to review the evidence of the effectiveness of eHealth interventions to increase moderate-to-vigorous physical activity among working-age women. The secondary objective was to examine their effectiveness on improving obesity-related outcomes. A comprehensive search strategy was developed for eight electronic databases; through July 2016. All studies consisting of >80% women of working-age (18-65 years) in high income countries were included. Multiple unblinded reviewers determined study eligibility and extracted data. Risk of bias was evaluated using the Cochrane Risk of Bias Tool and data quality using the Grading of Recommendations Assessment, Development and Evaluation approach. Data were pooled using a random-effects model. Sixty studies were included in the review of which 20 were in the meta-analysis. The meta-analysis demonstrated eHealth interventions improved moderate-to-vigorous physical activity (standard mean difference = 1.13, 95% confidence interval: 0.58, 1.68, P < 0.0001); an increase of ~25 min week(-1) . No changes were observed in obesity-related outcomes; waist circumference (P = 0.06), body mass (P = 0.05) and body mass index (P = 0.35). eHealth interventions are effective at increasing min week(-1) of moderate-to-vigorous physical activity among working-age women from high income countries.

A systematic review of randomized control trials (RCT) was undertaken to evaluate the effectiveness of eHealth behavioral interventions aiming to improve smoking rates, nutrition behaviors, alcohol intake, physical activity levels and/or obesity (SNAPO) in young adults. Seven electronic databases were searched for RCTs published in English from 2000 to April 2015 and evaluating eHealth interventions aiming to change one or multiple SNAPO outcomes, and including young adult (18-35years) participants. Of 2,159 articles identified, 45 studies met the inclusion criteria. Most interventions targeted alcohol (n=26), followed by smoking (n=7), physical activity (n=4), obesity (n=4) and nutrition (n=1). Three interventions targeted multiple behaviors. The eHealth interventions were most often delivered via websites (79.5%). Most studies (n=32) compared eHealth interventions to a control group (e.g. waiting list control, minimal intervention), with the majority (n=23) showing a positive effect on a SNAPO outcome at follow-up. Meta-analysis demonstrated a significantly lower mean number of drinks consumed/week in brief web or computer-based interventions compared to controls (Mean Difference -2.43 [-3.54, -1.32], P<0.0001, n=10). Sixteen studies compared eHealth delivery modes, with inconsistent results across target behaviors and technology types. Nine studies compared eHealth to other modes of delivery (e.g. in person) with all finding no difference in SNAPO outcomes between groups at follow-up. This review provides some evidence for the efficacy of eHealth SNAPO interventions for young adults, particularly in the short-term and for alcohol interventions. But there is insufficient evidence for their efficacy in the longer-term, as well as which mode of delivery is most effective

This review aims to evaluate the current literature on the procedural costs of bariatric surgery for the treatment of severe obesity. Using a published framework for the conduct of micro-costing studies for surgical interventions, existing cost estimates from the literature are assessed for their accuracy, reliability and comprehensiveness based on their consideration of seven 'important' cost components. MEDLINE, PubMed, key journals and reference lists of included studies were searched up to January 2017. Eligible studies had to report per-case, total procedural costs for any type of bariatric surgery broken down into two or more individual cost components. A total of 998 citations were screened, of which 13 studies were included for analysis. Included studies were mainly conducted from a US hospital perspective, assessed either gastric bypass or adjustable gastric banding procedures and considered a range of different cost components. The mean total procedural costs for all included studies was US$14,389 (range, US$7423 to US$33,541). No study considered all of the recommended 'important' cost components and estimation methods were poorly reported. The accuracy, reliability and comprehensiveness of the existing cost estimates are, therefore, questionable. There is a need for a comparative cost analysis of the different approaches to bariatric surgery, with the most appropriate costing approach identified to be micro-costing methods. Such an analysis will not only be useful in estimating the relative cost-effectiveness of different surgeries but will also ensure appropriate reimbursement and budgeting by healthcare payers to ensure barriers to access this effective treatment by severely obese patients are minimised.

The use of mobile and wireless technologies and wearable devices for improving health care processes and outcomes (mHealth) is promising for health promotion among patients with chronic diseases such as obesity and diabetes. This study comprehensively examined published mHealth intervention studies for obesity and diabetes treatment and management to assess their effectiveness and provide recommendations for future research. We systematically searched PubMed for mHealth-related studies on diabetes and obesity treatment and management published during 2000-2016. Relevant information was extracted and analyzed. Twenty-four studies met inclusion criteria and varied in terms of sample size, ethnicity, gender, and age of the participating patients and length of follow-up. The mHealth interventions were categorized into 3 types: mobile phone text messaging, wearable or portable monitoring devices, and applications running on smartphones. Primary outcomes included weight loss (an average loss ranging from -1.97 kg in 16 wk to -7.1 kg in 5 wk) or maintenance and blood glucose reduction (an average decrease of glycated hemoglobin ranging from -0.4% in 10 mo to -1.9% in 12 mo); main secondary outcomes included behavior changes and patient perceptions such as self-efficacy and acceptability of the intervention programs. More than 50% of studies reported positive effects of interventions based on primary outcomes. The duration or length of intervention ranged from 1 wk to 24 mo. However, most studies included small samples and short intervention periods and did not use rigorous data collection or analytic approaches. Although some studies suggest that mHealth interventions are effective and promising, most are pilot studies or have limitations in their study designs. There is an essential need for future studies that use larger study samples, longer intervention (>/= 6 mo) and follow-up periods (>/= 6 mo), and integrative and personalized innovative mobile technologies to provide comprehensive and sustainable support for patients and health service providers

INTRODUCTION: Currently, no systematic review/meta-analysis has examined studies that used online social networks (OSN) as a primary intervention platform. Therefore, the purpose of this review was to evaluate the effectiveness of weight management interventions delivered through OSN. METHODS: PubMed, EMBASE, PsycINFO, Web of Science, and Scopus were searched (January 1990-November 2015) for studies with data on the effect of OSNs on weight loss. Only primary source articles that utilized OSN as the main platform for delivery of weight management/healthy lifestyle interventions, were published in English language peer-reviewed journals, and reported outcome data on weight were eligible for inclusion in this systematic review. Five articles were included in this review. RESULTS: One-hundred percent of the studies (n = 5) reported a reduction in baseline weight. Three of the five studies (60%) reported significant decreases in body weight when OSN was paired with health educator support. Only one study reported a clinical significant weight loss of >/=5%. CONCLUSION: Using OSN for weight management is in its early stages of development and, while these few studies show promise, more research is needed to acquire information about optimizing these interventions to increase their efficacy.

Background: Theories of the policy process are recommended as tools to help explain both policy stasis and change. Methods: A systematic review of the application of such theoretical frameworks within the field of obesity prevention policy was conducted. A meta-synthesis was also undertaken to identify the key influences on policy decision-making. Results: The review identified 17 studies of obesity prevention policy underpinned by political science theories. The majority of included studies were conducted in the United States (US), with significant heterogeneity in terms of policy level (e.g., national, state) studied, areas of focus, and methodologies used. Many of the included studies were methodologically limited, in regard to rigour and trustworthiness. Prominent themes identified included the role of groups and networks, political institutions, and political system characteristics, issue framing, the use of evidence, personal values and beliefs, prevailing political ideology, and timing. Conclusions: The limited application of political science theories indicates a need for future theoretically based research into the complexity of policy-making and multiple influences on obesity prevention policy processes.

To increase their accessibility, paediatric weight management interventions are increasingly designed to be delivered in the home setting by trained staff. This systematic review summarizes the available evidence for interventions featuring home visitation and identifies key gaps in the literature. PubMed, CINAHL, Cochrane and PsycINFO were searched for intervention studies that reported change in objectively measured adiposity outcomes in youth ages 2-18 years. Studies published between 1 January 1995 and 12 February 2016 were analysed. Of 15 eligible studies, nine reported that interventions with home visitation were either superior to a control/comparison condition or achieved significant within-subjects reductions in adiposity. Interventions in which professional staff (e.g. dietitians and exercise trainers) conducted home visits tended to be more efficacious than those delivered by paraprofessional or community-based staff, as were interventions with more frequent contact. Most studies were judged to have low or unclear risk of bias across various domains. As most studies compared interventions with home visits with less intensive and qualitatively different approaches, it remains unclear whether home visitation per se enhances weight loss efficacy. Overall, paediatric weight management interventions that feature home visitation are promising, but the incremental benefit of the home visitation treatment modality remains to be rigorously evaluated.

BACKGROUND: Effective broad-reach interventions to reduce childhood obesity are needed, but there is currently little consensus on the most effective approach. Parental involvement in interventions appears to be important. The use of eHealth modalities in interventions also seems to be promising. To our knowledge, there have been no previous reviews that have specifically investigated the effectiveness of parent-focused eHealth obesity interventions, a gap that this systematic review and meta-analysis intends to address. OBJECTIVE: The objective of this study was to review the evidence for body mass index (BMI)/BMI z-score improvements in eHealth overweight and obesity randomized controlled trials for children and adolescents, where parents or carers were an agent of change. METHODS: A systematic review and meta-analysis was conducted, which conforms to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) statement. Seven databases were searched for the period January 1995 to April 2015. Primary outcome measures were BMI and/or BMI z-score at baseline and post-intervention. Secondary outcomes included diet, physical activity, and screen time. Interventions were included if they targeted parents of children and adolescents aged 0-18 years of age and used an eHealth medium such as the Internet, interactive voice response (IVR), email, social media, telemedicine, or e-learning. RESULTS: Eight studies were included, involving 1487 parent and child or adolescent dyads. A total of 3 studies were obesity prevention trials, and 5 were obesity treatment trials. None of the studies found a statistically significant difference in BMI or BMI z-score between the intervention and control groups at post-intervention, and a meta-analysis demonstrated no significant difference in the effects of parent-focused eHealth obesity interventions compared with a control on BMI/BMI z-score (Standardized Mean Difference -0.15, 95% CI -0.45 to 0.16, Z=0.94, P=.35). Four of seven studies that reported on dietary outcomes demonstrated significant improvements in at least 1 dietary measurement, and 1 of 6 studies that reported on physical activity outcomes demonstrated significant improvements compared with the control. The quality of the interventions was generally not high; therefore, these results should be interpreted with caution. CONCLUSION: It is recommended that larger, longer duration, high-quality parent-focused eHealth studies are conducted, which transform successful components from face-to-face interventions into an eHealth format and target younger age groups in particular.

A systematic review was conducted of randomized trials of workplace weight management interventions, including trials with dietary, physical activity, environmental, behavioral, and incentive-based components. Main outcomes were defined as change in weight-related measures. Keywords related to weight management and workplace interventions were used to search relevant databases, and 23 eligible studies were reviewed in detail using a data extraction form and quality assessment checklist. The trials were conducted mainly in the USA and Europe, with four additional countries represented. Interventions were mostly multicomponent and were implemented in both sexes and in a range of employment categories. Intervention effectiveness appeared unrelated to region of the world and was highest in 6-12-month trials. The results ranged widely from clinically significant 8.8-kg weight loss in one trial to less effective than the control treatment in others. Some workplace interventions achieve clinically significant benefits, and further studies are needed to replicate those results in wider sociocultural and geographical contexts.

PURPOSE: This review examines the impact of mobile app technology on obesity-related anthropometric, psychosocial, and behavioral outcomes in children and adolescents. CONCLUSIONS: Nine research articles retrieved from a systematic review of the literature met criteria. Evidence is limited and mixed, but argues for an impact of mobile app use on motivation and goal-setting behavior, and supports further study of the impact on childhood obesity-related outcomes such as attitudes, perceptions, physical activity, and dietary habits. PRACTICE IMPLICATIONS: Nurses can use this evidence to discuss potential benefits of health promotion mobile apps with parents, children, and adolescents to combat childhood obesity