scholarly journals Impact of adult weight management interventions on mental health: a systematic review and meta-analysis protocol

BMJ Open ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. e031857
Author(s):  
Rebecca A Jones ◽  
Emma R Lawlor ◽  
Simon J Griffin ◽  
Esther M F van Sluijs ◽  
Amy L Ahern

IntroductionThe effects of interventions targeting weight loss on physical health are well described, yet the evidence for mental health is less clear. It is essential to better understand the impact of weight management interventions on mental health to optimise care and minimise risk of harm. We will assess the effect of behavioural weight management interventions on mental health in adults with overweight and obesity.Methods and analysisThe systematic review will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidance. We will include behavioural weight management interventions with a diet and/or physical activity component focusing on weight loss for adults with a body mass index ≥25 kg/m2. Randomised controlled trials (RCTs) and cluster RCTs will be the only eligible study designs. Outcomes of interest will be related to mental health. The following databases were searched from inception to 07 May 2019: MEDLINE, Embase, Cochrane database (CENTRAL), PsycINFO, ASSIA, AMED and CINAHL. The search strategy was based on four concepts: (1) adults, defined as ≥18 years, with overweight/obesity, defined as BMI ≥25kg/m², (2) weight management interventions, (3) mental health outcomes and (4) study design. The search was restricted to English-language published papers, with no other restrictions applied. Two stage screening for eligibility will be completed by two independent reviewers, with two independent reviewers completing data extraction and risk of bias assessment. Data permitting, a random-effects meta-analysis of outcomes, subgroup analyses and meta-regression will be conducted. If not appropriate, narrative synthesis and ‘levels of evidence’ assessment will be completed.Ethics and disseminationEthical approval is not required as primary data will not be collected. The completed systematic review will be disseminated in a peer-reviewed journal, at conferences and contribute towards the lead author’s PhD thesis.PROSPERO registration numberCRD42019131659.

2020 ◽  
Author(s):  
Rebecca A. Jones ◽  
Emma R. Lawlor ◽  
Jack M. Birch ◽  
Manal I. Patel ◽  
André O. Werneck ◽  
...  

Nutrients ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 1977
Author(s):  
Iván Cavero-Redondo ◽  
Vicente Martinez-Vizcaino ◽  
Rubén Fernandez-Rodriguez ◽  
Alicia Saz-Lara ◽  
Carlos Pascual-Morena ◽  
...  

Alongside an increase in obesity, society is experiencing the development of substantial technological advances. Interventions that are easily scalable, such as lifestyle (including diet and physical activity) mobile health (mHealth) self-monitoring, may be highly valuable in the prevention and treatment of excess weight. Thus, the aims of this systematic review and meta-analysis were to estimate the following: (i) the effect of behavioral weight management interventions using lifestyle mHealth self-monitoring on weight loss and (ii) the adherence to behavioral weight management interventions using lifestyle mHealth self-monitoring. MEDLINE via PubMed, EMBASE, the Cochrane Central Register of Controlled Trials and the Web of Science databases were systematically searched. The DerSimonian and Laird method was used to estimate the effect of and adherence to behavioral weight management interventions using lifestyle mHealth self-monitoring on weight loss. Twenty studies were included in the systematic review and meta-analysis, yielding a moderate decrease in weight and higher adherence to intervention of behavioral weight management interventions using lifestyle mHealth self-monitoring, which was greater than other interventions. Subgroup analyses showed that smartphones were the most effective mHealth approach to achieve weight management and the effect of behavioral weight management interventions using lifestyle mHealth self-monitoring was more pronounced when compared to usual care and in the short-term (less than six months). Furthermore, behavioral weight management interventions using lifestyle mHealth self-monitoring showed a higher adherence than: (i) recording on paper at any time and (ii) any other intervention at six and twelve months.


BMJ Open ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. e039518
Author(s):  
Jack Michael Birch ◽  
Simon J Griffin ◽  
Michael P Kelly ◽  
Amy L Ahern

IntroductionIt has been suggested that interventions focusing on individual behaviour change, such as behavioural weight management interventions, may exacerbate health inequalities. These intervention-generated inequalities may occur at different stages, including intervention uptake, adherence and effectiveness. We will synthesise evidence on how different measures of inequality moderate the uptake, adherence and effectiveness of behavioural weight management interventions in adults.Methods and analysisWe will update a previous systematic literature review from the United States Preventive Services Taskforce to identify trials of behavioural weight management interventions in adults aged 18 years and over that were, or could feasibly be, conducted in or recruited from primary care. Medline, Cochrane database (CENTRAL) and PsycINFO will be searched. Only randomised controlled trials (RCTs) and cluster-RCTs will be included. Two investigators will independently screen articles for eligibility and conduct risk of bias assessment. We will curate publication families for eligible trials. The PROGRESS-Plus acronym (place of residence, race/ethnicity, occupation, gender, religion, education, socioeconomic status, social capital, plus other discriminating factors) will be used to consider a comprehensive range of health inequalities. Data on trial uptake, intervention adherence, weight change and PROGRESS-Plus-related data will be extracted. Data will be synthesised narratively. We will present a Harvest plot for each PROGRESS-Plus criterion and whether each trial found a negative, positive or no health inequality gradient. We will also identify potential sources of unpublished original research data on these factors which can be synthesised through a future individual participant data meta-analysis.Ethics and disseminationEthical approval is not required as no primary data are being collected. The completed systematic review will be disseminated in a peer-reviewed journal, at conferences, and contribute to the lead author’s PhD thesis. Authors of trials included in the completed systematic review may be invited to collaborate on a future individual participant data meta-analysis.PROSPERO registration numberCRD42020173242.


2021 ◽  
pp. 114106
Author(s):  
Gergő Baranyi ◽  
Martín Hernán Di Marco ◽  
Tom C. Russ ◽  
Chris Dibben ◽  
Jamie Pearce

2021 ◽  
Author(s):  
Siew Min Ang ◽  
Juliana Chen ◽  
Jolyn Johal ◽  
Jia Huan Liew ◽  
Yock Young Dan ◽  
...  

BACKGROUND Smartphone applications (apps) have shown potential in enhancing weight management in the Western population in the short to medium term. With a rapidly growing obesity burden in the Asian populations, researchers are turning to apps as a service delivery platform to reach a greater target audience to efficiently tackle the problem. OBJECTIVE This systematic review and meta-analysis aimed to determine the efficacy of interventions incorporating apps in facilitating weight loss and health behavior change in the Asian population. METHODS Six databases were searched in June 2020. Eligible studies were controlled trials utilizing an app in the intervention in participants aged 18 years or above and from an Asian ethnicity. A meta-analysis to test intervention efficacy, subgroup analyses and post-hoc analyses were conducted to determine the effects of adding app to usual care and study duration. The primary outcome was absolute or percentage weight change while secondary outcomes were changes to lifestyle behaviors. RESULTS A total of 21 studies were included in this review and 17 were selected for the meta-analysis. The pooled effect size across 14 randomized controlled trials for weight change was small to moderate (Hedges’ g = -0.28, 95% CI = -0.44 to -0.12) however, this was not representative of long-term studies (more than a year). Stand-alone app interventions were inefficacious for weight loss but supplementing multi-component usual care with an app led to statistically significant weight change (Hedges’ g = -0.25 95% CI = -0.43 to -0.07). Asian apps were largely culturally adapted and multi-functional, with the most common app features being communication with health professionals and self-monitoring of behaviors and outcomes. CONCLUSIONS More evidence is required to determine the efficacy of apps in the long term and address app non-usage to maximize the potential of the intervention. Future research should determine the efficacy of each component of the multi-component intervention to facilitate study designs that are most effective and cost-efficient for weight management. CLINICALTRIAL PROSPERO REGISTRATION: CRD42020165240.


Sign in / Sign up

Export Citation Format

Share Document