Change in self-esteem following paediatric weight management interventions: a systematic review and meta-analysis

2019 ◽  
Vol 13 (3) ◽  
pp. 309
Author(s):  
Melissa Su Yi Tee ◽  
Natalie Lister ◽  
Megan L. Gow ◽  
Susan J. Paxton ◽  
Katharine Aldwell ◽  
...  
2021 ◽  
Author(s):  
Jack Birch ◽  
Rebecca Jones ◽  
Julia Mueller ◽  
Matthew McDonald ◽  
Rebecca Richards ◽  
...  

Background: It 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 conducted a systematic review to synthesise evidence on how different measures of inequality moderate the uptake of, adherence to and effectiveness of behavioural weight management interventions in adults. Methods: We updated a previous systematic literature review from the US Preventive Services Taskforce to identify trials of behavioural weight management interventions in adults that could be conducted in or recruited from primary care. Medline, Cochrane database (CENTRAL) and PsycINFO were searched. Only randomised controlled trials and cluster-randomised controlled trials were included. Two investigators independently screened articles for eligibility and conducted risk of bias assessment. We curated 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) was used to consider a comprehensive range of health inequalities. Data on trial uptake, intervention adherence, weight change, and PROGRESS-Plus related-data were extracted. Results: Data extraction in currently underway. A total of 108 studies are included in the review. Data will be synthesised narratively and through the use of Harvest Plots. A Harvest plot for each PROGRESS-Plus criterion will be presented, showing 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 We will also identify potential sources of unpublished original research data on these factors which can be synthesised through a future individual participant data meta- analysis. Conclusions and implications: The review findings will contribute towards the consideration of intervention-generated inequalities by researchers, policy makers and healthcare and public health practitioners. Authors of trials included in the completed systematic review may be invited to collaborate on a future IPD meta-analysis. PROSPERO registration number: CRD42020173242


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.


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.


2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Darren R. Mazzei ◽  
Ayoola Ademola ◽  
J. Haxby Abbott ◽  
Tolulpe Sajobi ◽  
Kevin Hildebrand ◽  
...  

Abstract Background International guidelines recommend education, exercise, and dietary weight management as core treatments to manage osteoarthritis (OA) regardless of disease severity or co-morbidity. Evidence supports the clinical effectiveness of OA management programs, but the cost-effectiveness of core treatments remains unclear. We will systematically review, synthesize, and assess the literature in economic evaluations of core treatments (education, exercise, and dietary weight management) for the management of hip and/or knee OA. Methods We will search the following elecftronic databases (from inception onwards): MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials (CENTRAL), National Health Services Economic Evaluation Database, and EconLit. Economic evaluations alongside randomized or nonrandomized clinical trials investigating OA education, exercise, and dietary weight management interventions will be included. Title, abstract, and full text of relevant publications will be screened independently by two reviewers. A content matter expert will resolve any conflicts between two reviewers. Key information from relevant papers will be extracted and tabulated to provide an overview of the published literature. Methodological quality will be evaluated using the Consensus on Health Economic Criteria list. A narrative synthesis without meta-analysis will be conducted. Subgroup analysis will attempt to find trends between research methods, intervention characteristics, and results. Discussion The findings of this review will evaluate the breadth and quality of economic evaluations conducted alongside clinical trials for core treatments in OA management. Systematic review registration PROSPERO CRD42020155964


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.


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