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Shifting From Tokenism to Meaningful Adolescent Participation in Research for Obesity Prevention: A Systematic Scoping Review.

ABSTRACT: Background: Traditionally, adolescent participation in research has been tokenistic. Adolescents are rarely afforded the opportunity to influence decision-making in research designed to prevent obesity. Engaging adolescents in meaningful decision-making may enhance research translation. This review aimed to analyze the current modes and nature of adolescent participation in obesity prevention research decision-making. Methods: A systematic scoping review was conducted using Arksey and O'Malley's six-stage framework. Six major databases were searched for peer-reviewed primary research studies with adolescent participation related to obesity, physical activity, and diet. Modes of adolescent participation were categorized based on the Lansdown-UNICEF conceptual framework for measuring outcomes of adolescent participation. The framework outlines three modes of meaningful participation: (i) consultative, which involves taking opinions and needs into consideration; (ii) collaborative, where adolescents are partners in the decision-making process; and (iii) adolescent-led participation where adolescents have the capacity to influence the process and outcomes. The degree of involvement in research cycles was classified based on the National Health and Medical Research Council consumer engagement framework. Five stages of the research cycle were determined: identify, design and develop, conduct, analyze and disseminate. Results: In total, 126 papers describing 71 unique studies were identified. Of these, 69% (49/71) took place in the USA, and 85% (52/61) were conducted in minority or underserved communities, while males were more likely to be under-represented. In 49% (35/71) of studies, participation was consultative and 9% (6/71) of studies involved an adolescent-led approach. Furthermore, 87% (62/71) of studies incorporated adolescent participation in one or more of the research cycle's formative phases, which involve eliciting views, opinions and idea generation. Only 11% of studies engaged adolescents in all five stages of the research cycle where adolescents could have more influence over the research process. Conclusion: Meaningful adolescent participation in the obesity prevention research cycle is limited. Empowering and mobilizing equal partnership with adolescents should be at the forefront of all adolescent-related obesity prevention research.

SUBMITTER: Mandoh M

PROVIDER: S-EPMC8734426 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundSystematic identification of evidence in health policy can be time-consuming and challenging. This study examines three questions pertaining to systematic reviews on obesity prevention policy, in order to identify the most efficient search methods: (1) What percentage of the primary studies selected for inclusion in the reviews originated in scholarly as opposed to gray literature? (2) How much of the primary scholarly literature in this topic area is indexed in PubMed/MEDLINE? (3) Which databases index the greatest number of primary studies not indexed in PubMed, and are these databases searched consistently across systematic reviews?MethodsWe identified systematic reviews on obesity prevention policy and explored their search methods and citations. We determined the percentage of scholarly vs. gray literature cited, the most frequently cited journals, and whether each primary study was indexed in PubMed. We searched 21 databases for all primary study articles not indexed in PubMed to determine which database(s) indexed the highest number of these relevant articles.ResultsIn total, 21 systematic reviews were identified. Ten of the 21 systematic reviews reported searching gray literature, and 12 reviews ultimately included gray literature in their analyses. Scholarly articles accounted for 577 of the 649 total primary study papers. Of these, 495 (76%) were indexed in PubMed. Google Scholar retrieved the highest number of the remaining 82 non-PubMed scholarly articles, followed by Scopus and EconLit. The Journal of the American Dietetic Association was the most-cited journal.ConclusionsResearchers can maximize search efficiency by searching a small yet targeted selection of both scholarly and gray literature resources. A highly sensitive search of PubMed and those databases that index the greatest number of relevant articles not indexed in PubMed, namely multidisciplinary and economics databases, could save considerable time and effort. When combined with a gray literature search and additional search methods, including cited reference searching and consulting with experts, this approach could help maintain broad retrieval of relevant studies while improving search efficiency. Findings also have implications for designing specialized databases for public health research.

Project description:BackgroundFor children and young people with eye and vision conditions, research is essential to advancing evidence-based recommendations in diagnosis, prevention, treatments and cures. Patient 'experience' reflects a key measure of quality in health care (Department of Health. High Quality Care for All: NHS Next Stage Review Final Report: The Stationery Office (2008)); research participant 'experiences' are equally important. Therefore, in order to achieve child-centred, high-quality paediatric ophthalmic research, we need to understand participation experiences. We conducted a systematic review of existing literature; our primary outcome was to understand what children and young people, parents and research staff perceive to support or hinder positive paediatric eye and vision research experiences. Our secondary outcomes explored whether any adverse or positive effects were perceived to be related to participation experiences, and if any interventions to improve paediatric ophthalmic research experiences had previously been developed or used.MethodsWe searched (from inception to November 2018, updated July 2020) in MEDLINE, Embase, CINAHL, Web of Science, NICE evidence and The Cochrane Library (CDSR and CENTRAL), key journals (by hand), grey literature databases and Google Scholar; looking for evidence from the perspectives of children, young people, parents and staff with experience of paediatric ophthalmic research. The National Institute for Health Research (NIHR) Participant in Research Experience Survey (PRES) (National Institute for Health Research. Research Participant Experience Survey Report 2018-19 (2019); National Institute for Health Research. Optimising the Participant in Research Experience Checklist (2019)) identified 'five domains' pivotal to shaping positive research experiences; we used these domains as an 'a priori' framework to conduct a 'best fit' synthesis (Carroll et al., BMC Med Res Methodol. 11:29, 2011; Carroll et al., BMC Med Res Methodol. 13:37, 2013).ResultsOur search yielded 13,020 papers; two studies were eligible. These evaluated research experiences from the perspectives of parents and staff; the perspectives of children and young people themselves were not collected. No studies were identified addressing our secondary objectives. Synthesis confirmed the experiences of parents were shaped by staff characteristics, information provision, trial organisation and personal motivations, concurring with the 'PRES domains' (National Institute for Health Research. Optimising the Participant in Research Experience Checklist (2019)) and generating additional dimensions to participation motivations and the physical and emotional costs of study organisation.ConclusionsThe evidence base is limited and importantly omits the voices of children and young people. Further research, involving children and young people, is necessary to better understand the research experiences of this population, and so inform quality improvements for paediatric ophthalmic research care and outcomes.Trial registrationReview registered with PROSPERO, International prospective register of systematic reviews: CRD42018117984. Registered on 11 December 2018.

Project description:BackgroundAdolescent pregnancy is a global public health problem. Numerous approaches for Comprehensive Sexuality Education (CSE) delivery in schools have been implemented around the world. Previous reviews on CSE did not follow the International Technical Guidance on Sexuality Education (ITGSE) because CSE is very diverse in terms of population, interventions, settings and outcomes. We conducted this scoping review to identify and map the evidence of school-based CSE for prevention of adolescent pregnancy with emphasis on adolescents' contraceptive use, unintended pregnancy and abortion.MethodsWe searched PubMed, CENTRAL, Scopus, ISI Web of Science, CINAHL, and WHO ICTRP to identify potential eligible studies from their inception to 4th Nov 2023.We included randomized controlled trials (RCTs) and non-RCTs of CSE implemented in public or private schools for adolescents. CSE was defined as a multi-session intervention in school that covered topics including contraception, pregnancy, abortion, and HIV/STI. School-based interventions were the main intervention that may be either stand-alone or multicomponent. There was no limitation on study's geographical area, but only English-language studies were considered. Two reviewers selected and extracted data independently, discussed for consensus or consulted the third reviewer if there were discrepancies for final conclusion. Data were presented using figures, map and table.ResultsOut of 5897 records, 79 studies (101 reports) were included in this review. Most studies were conducted in the United States and other high-income countries in secondary or high schools with cluster RCTs. All studies included participatory methods. Almost all studies included Sexual and Reproductive Health which is the eighth concept of CSE. Very few studies reported the prespecified primary outcomes of contraceptive use during last sex, unintended pregnancy and abortion and hence this highlighted the gaps of available evidence for these outcomes. The number of concepts, components, duration and providers of CSE varied across the included studies. However, none of the interventions identified in this scoping review adhered to the ITGSE recommended approach.ConclusionsOur scoping review shows gaps in school-based CSE implementation in terms of completeness of concepts, components, providers, duration and outcomes recommended by ITGSE.

Project description:BackgroundObesity is a leading cause of preventable death worldwide. Artificial intelligence (AI), characterized by machine learning (ML) and deep learning (DL), has become an indispensable tool in obesity research.ObjectiveThis scoping review aimed to provide researchers and practitioners with an overview of the AI applications to obesity research, familiarize them with popular ML and DL models, and facilitate the adoption of AI applications.MethodsWe conducted a scoping review in PubMed and Web of Science on the applications of AI to measure, predict, and treat obesity. We summarized and categorized the AI methodologies used in the hope of identifying synergies, patterns, and trends to inform future investigations. We also provided a high-level, beginner-friendly introduction to the core methodologies to facilitate the dissemination and adoption of various AI techniques.ResultsWe identified 46 studies that used diverse ML and DL models to assess obesity-related outcomes. The studies found AI models helpful in detecting clinically meaningful patterns of obesity or relationships between specific covariates and weight outcomes. The majority (18/22, 82%) of the studies comparing AI models with conventional statistical approaches found that the AI models achieved higher prediction accuracy on test data. Some (5/46, 11%) of the studies comparing the performances of different AI models revealed mixed results, indicating the high contingency of model performance on the data set and task it was applied to. An accelerating trend of adopting state-of-the-art DL models over standard ML models was observed to address challenging computer vision and natural language processing tasks. We concisely introduced the popular ML and DL models and summarized their specific applications in the studies included in the review.ConclusionsThis study reviewed AI-related methodologies adopted in the obesity literature, particularly ML and DL models applied to tabular, image, and text data. The review also discussed emerging trends such as multimodal or multitask AI models, synthetic data generation, and human-in-the-loop that may witness increasing applications in obesity research.

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Shifting From Tokenism to Meaningful Adolescent Participation in Research for Obesity Prevention: A Systematic Scoping Review.

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