Impact of risk of generalizability biases in adult obesity interventions: A meta‐epidemiological review and meta‐analysis-Reference-Cited by-同舟云学术

Impact of risk of generalizability biases in adult obesity interventions: A meta‐epidemiological review and meta‐analysis

Published:2021-11-14 Issue:2 Volume:23 Page:
ISSN:1467-7881
Container-title:Obesity Reviews
language:en
Short-container-title:Obesity Reviews

Author:

Beets Michael W.¹,Klinggraeff Lauren¹^ORCID,Burkart Sarah¹,Jones Alexis¹,Ioannidis John P. A.²,Weaver R. Glenn¹,Okely Anthony D.³,Lubans David⁴^ORCID,Sluijs Esther⁵,Jago Russell⁶,Turner‐McGrievy Gabrielle⁷,Thrasher James⁷,Li Xiaoming⁷

Affiliation:

1. Department of Exercise Science, Arnold School of Public Health University of South Carolina Columbia South Carolina USA

2. Departments of Medicine, of Epidemiology and Population Health, of Biomedical Data Science, and of Statistics, and Meta‐Research Innovation Center at Stanford (METRICS) Stanford University Stanford CA USA

3. Faculty of the Arts, Social Sciences and Humanities, School of Education University of Wollongong Wollongong New South Wales Australia

4. School of Education, Priority Research Centre in Physical Activity and Nutrition University of Newcastle Callaghan New South Wales Australia

5. Centre for Diet and Activity Research (CEDAR), MRC Epidemiology Unit, School of Clinical Medicine University of Cambridge Cambridge UK

6. Centre for Exercise Nutrition and Health Sciences, School for Policy Studies University of Bristol Bristol UK

7. Department of Health Promotion, Education, and Behavior Arnold School of Public Health University of South Carolina Columbia South Carolina USA

Funder

National Health and Medical Research Council

National Heart, Lung, and Blood Institute

National Institute of General Medical Sciences

Publisher

Wiley

Subject

Public Health, Environmental and Occupational Health,Endocrinology, Diabetes and Metabolism

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/obr.13369

Reference39 articles.

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4. Guidance for conducting feasibility and pilot studies for implementation trials

5. How to optimise public health interventions: a scoping review of guidance from optimisation process frameworks

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