scholarly journals Weight Management in Young Adults: Systematic Review of Electronic Health Intervention Components and Outcomes

10.2196/10265 ◽  
2019 ◽  
Vol 21 (2) ◽  
pp. e10265 ◽  
Author(s):  
Taylor Jade Willmott ◽  
Bo Pang ◽  
Sharyn Rundle-Thiele ◽  
Abi Badejo
Keyword(s):  
Systematic Review ◽  
Young Adults ◽  
Weight Management ◽  
Health Intervention ◽  
Electronic Health

Electronic health (eHealth) interventions for weight management among racial/ethnic minority adults: a systematic review

2014 ◽  
Vol 15 ◽  
pp. 146-158 ◽  
Author(s):  
G. G. Bennett ◽  
D. M. Steinberg ◽  
C. Stoute ◽  
M. Lanpher ◽  
I. Lane ◽  
...  
Keyword(s):  
Systematic Review ◽  
Ethnic Minority ◽  
Weight Management ◽  
Electronic Health ◽  
Racial Ethnic

scholarly journals Weight Management in Young Adults: Systematic Review of Electronic Health Intervention Components and Outcomes (Preprint)

2018 ◽  
Author(s):  
Taylor Jade Willmott ◽  
Bo Pang ◽  
Sharyn Rundle-Thiele ◽  
Abi Badejo
Keyword(s):  
Systematic Review ◽  
Young Adults ◽  
Weight Management ◽  
Assessment Tool ◽  
Narrative Synthesis ◽  
Quality Assessment Tool ◽  
Management Interventions ◽  
What Works ◽  
Ehealth Intervention

BACKGROUND Young adulthood is a vulnerable period for unhealthy lifestyle adoption and excess weight gain. Scant attention has been focused on developing and evaluating effective weight gain prevention strategies for this age group. Electronic health (eHealth) offers potential as a cost-effective means of delivering convenient, individually-tailored, and contextually-meaningful interventions at scale. OBJECTIVE The primary aim of this systematic review was to locate and synthesize the evidence on eHealth weight management interventions targeting young adults, with a particular focus on (eHealth) intervention components and outcomes. METHODS A systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The search strategy was executed across the following electronic databases: Cumulative Index to Nursing and Allied Health Literature, Cochrane Library, EBSCO, EMBASE, Emerald, Education Resources Information Center, Medical Literature Analysis and Retrieval System Online, Ovid, ProQuest, PsycINFO, PubMed, Science Direct, Scopus, and Web of Science. Furthermore, 2 reviewers independently assessed records for eligibility: peer-reviewed, published in English, and report evaluations of eHealth weight management interventions targeting healthy young adults (aged 18-35 years). Data were then extracted from studies that met the criteria for inclusion. The methodological quality of studies was independently assessed by 2 reviewers using the Effective Public Health Practice Project’s (EPHPP) quality assessment tool. A comprehensive narrative evidence synthesis was then completed. RESULTS Out of the 1301 studies assessed for eligibility, 24 met the criteria for inclusion. According to the EPHPP quality assessment tool, overall, 19 studies were as rated weak, 5 as moderate, and none as strong. The narrative synthesis of intervention outcomes found 8 studies reported positive weight-related outcomes, 4 reported mixed outcomes, and 12 did not report any significant changes in weight-related outcomes. The narrative synthesis of (eHealth) intervention components led to 3 levels of classification. A total of 14 studies were classified as Web-based, 3 as mobile-based, and 7 as multicomponent interventions. Following the narrative synthesis, 5 key strategies were thematically identified: self-regulation (goal setting and self-monitoring), tailored or personalized feedback, contact with an interventionist, social support, and behavioral prompts (nudges and reminders) and booster messages. CONCLUSIONS Findings highlight the limited evidence base for eHealth weight management interventions targeting young adults. The complex nature of weight management presents an ongoing challenge for interventionists to identify what works, for whom, how, and when. The quality of the evidence in this review was generally assessed as weak; however, assessment tools such as the EPHPP are principally concerned with what should be and this is seldom equivalent to what works. Thus, while sampling, study design and retention rates will remain key determining factors of reliability and validity, further research attention directed toward the development of guiding tools for community trials is warranted.

scholarly journals Approaches for combining primary care electronic health record data from multiple sources: a systematic review of observational studies

BMJ Open ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. e037405
Author(s):  
Daniel Dedman ◽  
Melissa Cabecinha ◽  
Rachael Williams ◽  
Stephen J W Evans ◽  
Krishnan Bhaskaran ◽  
...  
Keyword(s):  
Systematic Review ◽  
Primary Care ◽  
Electronic Health Record ◽  
Observational Studies ◽  
Meta Analysis ◽  
Data Sources ◽  
Health Record ◽  
Two Stage ◽  
One Stage ◽  
Electronic Health

ObjectiveTo identify observational studies which used data from more than one primary care electronic health record (EHR) database, and summarise key characteristics including: objective and rationale for using multiple data sources; methods used to manage, analyse and (where applicable) combine data; and approaches used to assess and report heterogeneity between data sources.DesignA systematic review of published studies.Data sourcesPubmed and Embase databases were searched using list of named primary care EHR databases; supplementary hand searches of reference list of studies were retained after initial screening.Study selectionObservational studies published between January 2000 and May 2018 were selected, which included at least two different primary care EHR databases.Results6054 studies were identified from database and hand searches, and 109 were included in the final review, the majority published between 2014 and 2018. Included studies used 38 different primary care EHR data sources. Forty-seven studies (44%) were descriptive or methodological. Of 62 analytical studies, 22 (36%) presented separate results from each database, with no attempt to combine them; 29 (48%) combined individual patient data in a one-stage meta-analysis and 21 (34%) combined estimates from each database using two-stage meta-analysis. Discussion and exploration of heterogeneity was inconsistent across studies.ConclusionsComparing patterns and trends in different populations, or in different primary care EHR databases from the same populations, is important and a common objective for multi-database studies. When combining results from several databases using meta-analysis, provision of separate results from each database is helpful for interpretation. We found that these were often missing, particularly for studies using one-stage approaches, which also often lacked details of any statistical adjustment for heterogeneity and/or clustering. For two-stage meta-analysis, a clear rationale should be provided for choice of fixed effect and/or random effects or other models.

Mobile apps for weight management in children and adolescents; An updated systematic review

2021 ◽  
Author(s):  
Mostafa Langarizadeh ◽  
Malihe Sadeghi ◽  
Atefeh As’habi ◽  
Pakzad Rahmati ◽  
Abbas Sheikhtaheri
Keyword(s):  
Systematic Review ◽  
Children And Adolescents ◽  
Weight Management ◽  
Mobile Apps

scholarly journals Neuroimaging Findings in Adolescents and Young Adults with Anorexia Nervosa: A Systematic Review

Children ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. 137
Author(s):  
Kalliopi Kappou ◽  
Myrto Ntougia ◽  
Aikaterini Kourtesi ◽  
Eleni Panagouli ◽  
Elpis Vlachopapadopoulou ◽  
...  
Keyword(s):  
Systematic Review ◽  
Young Adults ◽  
Anorexia Nervosa ◽  
Large Scale ◽  
Temporal Cortex ◽  
Adolescents And Young Adults ◽  
Pubmed Central ◽  
Executive Control Network ◽  
Young Females ◽  
Weight Restoration

Background: Anorexia nervosa (AN) is a serious, multifactorial mental disorder affecting predominantly young females. This systematic review examines neuroimaging findings in adolescents and young adults up to 24 years old, in order to explore alterations associated with disease pathophysiology. Methods: Eligible studies on structural and functional brain neuroimaging were sought systematically in PubMed, CENTRAL and EMBASE databases up to 5 October 2020. Results: Thirty-three studies were included, investigating a total of 587 patients with a current diagnosis of AN and 663 healthy controls (HC). Global and regional grey matter (GM) volume reduction as well as white matter (WM) microstructure alterations were detected. The mainly affected regions were the prefrontal, parietal and temporal cortex, hippocampus, amygdala, insula, thalamus and cerebellum as well as various WM tracts such as corona radiata and superior longitudinal fasciculus (SLF). Regarding functional imaging, alterations were pointed out in large-scale brain networks, such as default mode network (DMN), executive control network (ECN) and salience network (SN). Most findings appear to reverse after weight restoration. Specific limitations of neuroimaging studies in still developing individuals are also discussed. Conclusions: Structural and functional alterations are present in the early course of the disease, most of them being partially or totally reversible. Nonetheless, neuroimaging findings have been open to many biological interpretations. Thus, more studies are needed to clarify their clinical significance.

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