STROBE-GEMA: a STROBE extension for reporting of geographically explicit ecological momentary assessment studies

被引:0
作者
Kingsbury, Celia [1 ,2 ]
Buzzi, Marie [3 ]
Chaix, Basile [4 ]
Kanning, Martina [5 ]
Khezri, Sadun [1 ,2 ]
Kiani, Behzad [6 ]
Kirchner, Thomas R. [7 ,8 ]
Maurel, Allison [1 ,2 ]
Thierry, Benoit [1 ,2 ]
Kestens, Yan [1 ,2 ]
机构
[1] Univ Montreal ESPUM, Ecole Sante Publ, 7101 Av Parc, Montreal, PQ H3N 1X9, Canada
[2] Ctr Rech Sante Publ CReSP, 7101 Av Parc, Montreal, PQ H3N 1X9, Canada
[3] Univ Lorraine, Inserm, INSPIIRE, F-54000 Nancy, France
[4] Univ Sorbonne, Inst Pierre Louis Epidemiol & Sante Publ IPLESP, INSERM, Nemesis Team,Fac Med St Antoine, 27 Rue Chaligny, F-75012 Paris, France
[5] Univ Konstanz, Dept Social & Hlth Sci Sport Sci, Univ Str 10, D-78464 Constance, Baden Wuerttemb, Germany
[6] Univ Queensland, Fac Med, Ctr Clin Res, Brisbane St Lucia, Qld 4072, Australia
[7] New York Univ, Dept Social & Behav Sci, Sch Global Publ Hlth, New York, NY 10012 USA
[8] NYU, Ctr Urban Sci & Progress, Tandon Sch Engn, 6 MetroTech Ctr, Brooklyn, NY 11201 USA
关键词
Geographically explicit momentary assessment; Guideline; GPS; Health; Environmental exposure; Review; REAL-TIME; HEALTH RESEARCH; ALCOHOL-USE; ASSOCIATION; EXPOSURE; BEHAVIOR; SPACES; DETERMINANTS; ENVIRONMENTS; METAANALYSIS;
D O I
10.1186/s13690-024-01310-8
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Context While a growing body of research has been demonstrating how exposure to social and built environments relate to various health outcomes, specific pathways generally remain poorly understood. But recent technological advancements have enabled new study designs through continuous monitoring using mobile sensors and repeated questionnaires. Such geographically explicit momentary assessments (GEMA) make it possible to link momentary subjective states, behaviors, and physiological parameters to momentary environmental conditions, and can help uncover the pathways linking place to health. Despite its potential, there is currently no review of GEMA studies detailing how location data is used to measure environmental exposure, and how this in turn is linked to momentary outcomes of interest. Moreover, a lack of standard reporting of such studies hampers comparability and reproducibility.Aims The objectives of this research were twofold: 1) conduct a systematic review of GEMA studies that link momentary measurement with environmental data obtained from geolocation data, and 2) develop a STROBE extension guideline for GEMA studies.Method The review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Inclusion criteria consisted of a combination of repeated momentary measurements of a health state or behavior with GPS coordinate collection, and use of these location data to derive momentary environmental exposures. To develop the guideline, the variables extracted for the systematic review were compared to elements of the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) and CREMAS (CRedibility of Evidence from Multiple Analyses of the Same data) checklists, to provide a new guideline for GEMA studies. An international panel of experts participated in a consultation procedure to collectively develop the proposed checklist items.Results and developed tools A total of 20 original GEMA studies were included in the review. Overall, several key pieces of information regarding the GEMA methods were either missing or reported heterogeneously. Our guideline provides a total of 27 categories (plus 4 subcategories), combining a total of 70 items. The 22 categories and 32 items from the original STROBE guideline have been integrated in our GEMA guideline. Eight categories and 6 items from the CREMAS guideline have been included to our guideline. We created one new category (namely "Consent") and added 32 new items specific to GEMA studies.Conclusions and recommendations This study offers a systematic review and a STROBE extension guideline for the reporting of GEMA studies. The latter will serve to standardize the reporting of GEMA studies, as well as facilitate the interpretation of results and their generalizability. In short, this work will help researchers and public health professionals to make the most of this method to advance our understanding of how environments influence health.
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页数:19
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