STROBE-GEMA: a STROBE extension for reporting of geographically explicit ecological momentary assessment studies.
Environmental exposure
GPS
Geographically explicit momentary assessment
Guideline
Health
Review
Journal
Archives of public health = Archives belges de sante publique
ISSN: 0778-7367
Titre abrégé: Arch Public Health
Pays: England
ID NLM: 9208826
Informations de publication
Date de publication:
13 Jun 2024
13 Jun 2024
Historique:
received:
09
01
2024
accepted:
16
05
2024
medline:
13
6
2024
pubmed:
13
6
2024
entrez:
12
6
2024
Statut:
epublish
Résumé
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. 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. 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. 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.
Identifiants
pubmed: 38867286
doi: 10.1186/s13690-024-01310-8
pii: 10.1186/s13690-024-01310-8
doi:
Types de publication
Journal Article
Systematic Review
Langues
eng
Pagination
84Informations de copyright
© 2024. The Author(s).
Références
Bader MD, Mooney SJ, Rundle AG. Protecting personally identifiable information when using online geographic tools for public health research. Am J Public Health. 2016;106(2):206–8. https://doi.org/10.2105/AJPH.2015.302951 .
Bollenbach L, Schmitz J, Niermann C, Kanning M. How do people feel while walking in the city? Using walking-triggered e-diaries to investigate the association of social interaction and environmental greenness during everyday life walking. Front Psychol. 2022;13:970336.
Byrnes HF, Miller BA, Morrison CN, Wiebe DJ, Woychik M, Wiehe SE. Association of environmental indicators with teen alcohol use and problem behavior: Teens’ observations vs. objectively-measured indicators. Health Place. 2017;43:151–7.
Chaix B. Geographic life environments and coronary heart disease: a literature review, theoretical contributions, methodological updates, and a research agenda. Annu Rev Public Health. 2009;30:81–105. https://doi.org/10.1146/annurev.publhealth.031308.100158 .
doi: 10.1146/annurev.publhealth.031308.100158
pubmed: 19705556
Chaix B, Méline J, Duncan S, Jardinier L, Perchoux C, Vallée J, et al. Neighborhood environments, mobility, and health: Towards a new generation of studies in environmental health research. Revue d’Épidémiologie et de Santé Publique. 2013;61:S139–45.
Choi L, Liu Z, Matthews CE, Buchowski MS. Validation of Accelerometer Wear and Nonwear Time Classification Algorithm. Med Sci Sports Exerc. 2011;43(2):357–64. https://doi.org/10.1249/MSS.0b013e3181ed61a3 .
doi: 10.1249/MSS.0b013e3181ed61a3
pubmed: 20581716
pmcid: 3184184
Christensen TC, Barrett LF, Bliss-Moreau E, Lebo K, Kaschub C. A practical guide to experience sampling procedures. J Happiiness Stud. 2003;4:53–78.
doi: 10.1023/A:1023609306024
Clark DO, Keith NR, Ofner S, Hackett J, Li R, Agarwal N, et al. Environments and situations as correlates of eating and drinking among women living with obesity and urban poverty. Obes Sci Pract. 2022;8(2):153–63.
doi: 10.1002/osp4.557
pubmed: 35388340
Colombo D, Fernández-Álvarez J, Patané A, Semonella M, Kwiatkowska M, García-Palacios A, et al. Current State and Future Directions of Technology-Based Ecological Momentary Assessment and Intervention for Major Depressive Disorder: A Systematic Review. J Clin Med. 2019;8(4):465. https://doi.org/10.3390/jcm8040465 .
doi: 10.3390/jcm8040465
pubmed: 30959828
pmcid: 6518287
Conner TS, Mehl MR. Ambulatory Assessment: Methods for Studying Everyday Life. In: Emerging Trends in the Social and Behavioral Sciences. Hoboken: John Wiley & Sons, Ltd; 2015. p. 1–15. [cité 29 nov 2023]. Disponible sur: https://onlinelibrary.wiley.com/doi/abs/10.1002/9781118900772.etrds0010 .
Crouse DL, Pinault L, Christidis T, Lavigne E, Thomson EM, Villeneuve PJ. Residential greenness and indicators of stress and mental well-being in a Canadian national-level survey. Environ Res. 2021;192:110267. https://doi.org/10.1016/j.envres.2020.110267 .
doi: 10.1016/j.envres.2020.110267
pubmed: 33027630
Cui Y, Eccles KM, Kwok RK, Joubert BR, Messier KP, Balshaw DM. Integrating Multiscale Geospatial Environmental Data into Large Population Health Studies: Challenges and Opportunities. Toxics. 2022;10(7):403. https://doi.org/10.3390/toxics10070403 .
doi: 10.3390/toxics10070403
pubmed: 35878308
pmcid: 9316943
Cummins S. Commentary: Investigating neighbourhood effects on health—avoiding the ‘Local Trap.’ Int J Epidemiol. 2007;36(2):355–7.
doi: 10.1093/ije/dym033
pubmed: 17376797
Cuschieri S. The STROBE guidelines. Saudi J Anaesth. 2019;13(Suppl 1):S31–4. https://doi.org/10.4103/sja.SJA_543_18 .
doi: 10.4103/sja.SJA_543_18
pubmed: 30930717
pmcid: 6398292
Dao KP, Cocker KD, Tong HL, Kocaballi AB, Chow C, Laranjo L. Smartphone-Delivered Ecological Momentary Interventions Based on Ecological Momentary Assessments to Promote Health Behaviors: Systematic Review and Adapted Checklist for Reporting Ecological Momentary Assessment and Intervention Studies. JMIR Mhealth Uhealth. 2021;9(11):e22890. https://doi.org/10.2196/22890 .
Delespaul P, deVries M, van Os J. Determinants of occurrence and recovery from hallucinations in daily life. Soc Psychiatry Psychiatr Epidemiol. 2002;37(3):97–104. https://doi.org/10.1007/s001270200000 .
doi: 10.1007/s001270200000
pubmed: 11990012
de Vries S, Nieuwenhuizen W, Farjon H, van Hinsberg A, Dirkx J. In which natural environments are people happiest? Large-scale experience sampling in the Netherlands. Landsc Urban Plann. 2021;205:103972.
Dora J, Piccirillo M, Foster KT, Arbeau K, Armeli S, Auriacombe M, et al. The daily association between affect and alcohol use: A meta-analysis of individual participant data. Psychol Bull. 2023;149(1–2):1–24. https://doi.org/10.1037/bul0000387 .
doi: 10.1037/bul0000387
pubmed: 37560174
pmcid: 10409490
Elliston KG, Schüz B, Albion T, Ferguson SG. Comparison of Geographic Information System and Subjective Assessments of Momentary Food Environments as Predictors of Food Intake: An Ecological Momentary Assessment Study. JMIR Mhealth Uhealth. 2020;8(7):e15948.
Ettema D, Smajic I. Walking, places and wellbeing. Geograph J. 2015;181(2):102–9. https://doi.org/10.1111/geoj.12065 .
doi: 10.1111/geoj.12065
Fresán U, Bernard P, Fabregues S, Boronat A, Araújo-Soares V, König LM, et al. A Smartphone Intervention to Promote a Sustainable Healthy Diet: Protocol for a Pilot Study. JMIR Res Protoc. 2023;12(1):e41443. https://doi.org/10.2196/41443 .
Fulford D, Mote J, Gonzalez R, Abplanalp S, Zhang Y, Luckenbaugh J, et al. Smartphone sensing of social interactions in people with and without schizophrenia. J Psychiatr Res. 2021;137:613–20.
doi: 10.1016/j.jpsychires.2020.11.002
pubmed: 33190842
Fuller D, Sharek M, Stanley K. Ethical implications of location and accelerometer measurement in health research studies with mobile sensing devices. Soc Sci Med. 2017;191:84–8. https://doi.org/10.1016/j.socscimed.2017.08.043 .
doi: 10.1016/j.socscimed.2017.08.043
pubmed: 28915431
Gharani P, Karimi HA, Syzdykbayev M, Burke LE, Rathbun SL, Davis EM, et al. Geographically-explicit Ecological Momentary Assessment (GEMA) Architecture and Components: Lessons Learned from PMOMS. Inform Health Soc Care. 2021;46(2):158–77. https://doi.org/10.1080/17538157.2021.1877140 .
doi: 10.1080/17538157.2021.1877140
pubmed: 33612061
pmcid: 8154657
Heron KE, Smyth JM. Ecological momentary interventions: Incorporating mobile technology into psychosocial and health behaviour treatments. Brit J Health Psychol. 2010;15(1):1–39. https://doi.org/10.1348/135910709X466063 .
doi: 10.1348/135910709X466063
Higdon D, Swall J, Kern J. Non-Stationary Spatial Modeling. arXiv. 2022. [cité 12 sept 2023]. Disponible sur: http://arxiv.org/abs/2212.08043 .
Jacobson NC, Bhattacharya S. Digital biomarkers of anxiety disorder symptom changes: Personalized deep learning models using smartphone sensors accurately predict anxiety symptoms from ecological momentary assessments. Behav Res Ther. 2022;149:104013.
Kamalyan L, Yang JA, Pope CN, Paolillo EW, Campbell LM, Tang B, et al. Increased Social Interactions Reduce the Association Between Constricted Life-Space and Lower Daily Happiness in Older Adults With and Without HIV: A GPS and Ecological Momentary Assessment Study. Am J Geriatr Psychiat. 2021;29(8):867–79. https://doi.org/10.1016/j.jagp.2020.11.005 .
doi: 10.1016/j.jagp.2020.11.005
Kerr J, Duncan S, Schipperjin J. Using Global Positioning Systems in Health Research: A Practical Approach to Data Collection and Processing. Am J Prevent Med. 2011;41(5):532–40. https://doi.org/10.1016/j.amepre.2011.07.017 .
doi: 10.1016/j.amepre.2011.07.017
Kirchner TR, Cantrell J, Anesetti-Rothermel A, Ganz O, Vallone DM, Abrams DB. Geospatial Exposure to Point-of-Sale Tobacco: Real-Time Craving and Smoking-Cessation Outcomes. Am J Prevent Med. 2013;45(4):379–85. https://doi.org/10.1016/j.amepre.2013.05.016 .
doi: 10.1016/j.amepre.2013.05.016
Kirchner TR, Gao H, Lewis DJ, Anesetti-Rothermel A, Carlos HA, House B. Individual Mobility and Uncertain Geographic Context: Real-time Versus Neighborhood Approximated Exposure to Retail Tobacco Outlets Across the US. J Healthc Inform Res. 2019;3(1):70–85. https://doi.org/10.1007/s41666-018-0035-8 .
doi: 10.1007/s41666-018-0035-8
pubmed: 35415418
Kirchner TR, Shiffman S. Spatio-temporal determinants of mental health and well-being: advances in geographically-explicit ecological momentary assessment (GEMA). Soc Psychiat Psychiatr Epidemiol. 2016;51(9):1211–23. https://doi.org/10.1007/s00127-016-1277-5 .
doi: 10.1007/s00127-016-1277-5
Kondo MC, Triguero-Mas M, Donaire-Gonzalez D, Seto E, Valentín A, Hurst G, et al. Momentary mood response to natural outdoor environments in four European cities. Environ Int. 2020;134:105237.
Kwan MP. The Uncertain Geographic Context Problem. Ann Assoc Am Geograph. 2012;102(5):958–68. https://doi.org/10.1080/00045608.2012.687349 .
doi: 10.1080/00045608.2012.687349
Li D, Deal B, Zhou X, Slavenas M, Sullivan WC. Moving beyond the neighborhood: Daily exposure to nature and adolescents’ mood. Landscape Urban Plann. 2018;173:33–43. https://doi.org/10.1016/j.landurbplan.2018.01.009 .
doi: 10.1016/j.landurbplan.2018.01.009
Liao Y, Skelton K, Dunton G, Bruening M. A Systematic Review of Methods and Procedures Used in Ecological Momentary Assessments of Diet and Physical Activity Research in Youth: An Adapted STROBE Checklist for Reporting EMA Studies (CREMAS). J Med Internet Res. 2016;18(6):e151. https://doi.org/10.2196/jmir.4954 .
McQuoid J, Thrul J, Ling P. A geographically explicit ecological momentary assessment (GEMA) mixed method for understanding substance use. Soc Sci Med. 2018;202:89–98. https://doi.org/10.1016/j.socscimed.2018.02.014 .
doi: 10.1016/j.socscimed.2018.02.014
pubmed: 29518701
pmcid: 5879013
McQuoid J, Thrul J, Lopez-Paguyo K, Ling PM. Exploring multiple drug use by integrating mobile health and qualitative mapping methods - An individual case study. Int J Drug Policy. 2021;97:103325. https://doi.org/10.1016/j.drugpo.2021.103325 .
Mennis J, Mason M, Ambrus A, Way T, Henry K. The spatial accuracy of geographic ecological momentary assessment (GEMA): Error and bias due to subject and environmental characteristics. Drug Alcohol Dependence. 2017;178:188–93. https://doi.org/10.1016/j.drugalcdep.2017.05.019 .
doi: 10.1016/j.drugalcdep.2017.05.019
pubmed: 28654871
Mennis J, Mason M, Coffman DL, Henry K. Geographic Imputation of Missing Activity Space Data from Ecological Momentary Assessment (EMA) GPS Positions. Int J Environ Res Public Health. 2018;15(12):2740. https://doi.org/10.3390/ijerph15122740 .
doi: 10.3390/ijerph15122740
pubmed: 30518164
pmcid: 6313622
Mennis J, Mason M, Light J, Rusby J, Westling E, Way T, et al. Does substance use moderate the association of neighborhood disadvantage with perceived stress and safety in the activity spaces of urban youth? Drug Alcohol Depend. 2016;165:288–92.
doi: 10.1016/j.drugalcdep.2016.06.019
pubmed: 27372218
Mitchell JT, Schick RS, Hallyburton M, Dennis MF, Kollins SH, Beckham JC, et al. Combined ecological momentary assessment and global positioning system tracking to assess smoking behavior: a proof of concept study. J Dual Diagn. 2014;10(1):19–29.
doi: 10.1080/15504263.2013.866841
pubmed: 24883050
pmcid: 4036229
Moher D, Schulz KF, Simera I, Altman DG. Guidance for Developers of Health Research Reporting Guidelines. PLOS Med. 2010;7(2):e1000217.
Montoye AHK, Moore RW, Bowles HR, Korycinski R, Pfeiffer KA. Reporting accelerometer methods in physical activity intervention studies: a systematic review and recommendations for authors. Br J Sports Med. 2018;52(23):1507–16. https://doi.org/10.1136/bjsports-2015-095947 .
doi: 10.1136/bjsports-2015-095947
pubmed: 27539504
Mow JL, Gard DE, Mueser KT, Mote J, Gill K, Leung L, et al. Smartphone-based mobility metrics capture daily social motivation and behavior in schizophrenia. Schizophr Res. 2022;250:13–21.
doi: 10.1016/j.schres.2022.09.025
pubmed: 36242786
pmcid: 10372850
Palmer JRB, Espenshade TJ, Bartumeus F, Chung CY, Ozgencil NE, Li K. New Approaches to Human Mobility: Using Mobile Phones for Demographic Research. 2013;24.
Perski O, Kwasnicka D, Kale D, Schneider V, Szinay D, ten Hoor G, et al. Within-person associations between psychological and contextual factors and lapse incidence in smokers attempting to quit: A systematic review and meta-analysis of ecological momentary assessment studies. Addiction. 2023;118(7):1216–31. https://doi.org/10.1111/add.16173 .
doi: 10.1111/add.16173
pubmed: 36807443
pmcid: 10952786
Reichert M, Giurgiu M, Koch ED, Wieland LM, Lautenbach S, Neubauer AB, et al. Ambulatory assessment for physical activity research: State of the science, best practices and future directions. Psychol Sport Exerc. 2020;50:101742. https://doi.org/10.1016/j.psychsport.2020.101742 .
Rojas-Rueda D, Nieuwenhuijsen MJ, Gascon M, Perez-Leon D, Mudu P. Green spaces and mortality: a systematic review and meta-analysis of cohort studies. Lancet Planet Health. 2019;3(11):e469–77. https://doi.org/10.1016/S2542-5196(19)30215-3 .
doi: 10.1016/S2542-5196(19)30215-3
pubmed: 31777338
pmcid: 6873641
Senanayake N, King B. Geographies of uncertainty. Geoforum. 2021;123:129–35. https://doi.org/10.1016/j.geoforum.2020.07.016 .
doi: 10.1016/j.geoforum.2020.07.016
pubmed: 32836330
Smith KE, Juarascio A. From Ecological Momentary Assessment (EMA) to Ecological Momentary Intervention (EMI): Past and Future Directions for Ambulatory Assessment and Interventions in Eating Disorders. Curr Psychiatry Rep. 2019;21(7):53. https://doi.org/10.1007/s11920-019-1046-8 .
doi: 10.1007/s11920-019-1046-8
pubmed: 31161276
Stone AA, Shiffman S. Ecological Momentary Assessment (Ema) in Behavioral Medicine. Ann Behav Med. 1994;16(3):199–202. https://doi.org/10.1093/abm/16.3.199 .
doi: 10.1093/abm/16.3.199
Su L, Zhou S, Kwan MP, Chai Y, Zhang X. The impact of immediate urban environments on people’s momentary happiness. Urban Stud. 2022;59(1):140–60. https://doi.org/10.1177/0042098020986499 .
doi: 10.1177/0042098020986499
Tao Y, Chai Y, Kou L, Kwan MP. Understanding noise exposure, noise annoyance, and psychological stress: Incorporating individual mobility and the temporality of the exposure-effect relationship. Appl Geogr. 2020;125:102283.
Tao Y, Kou L, Chai Y, Kwan MP. Associations of co-exposures to air pollution and noise with psychological stress in space and time: A case study in Beijing, China. Environ Res. 2021;196:110399.
Trull TJ, Ebner-Priemer UW. Ambulatory Assessment in Psychopathology Research: A Review of Recommended Reporting Guidelines and Current Practices. J Abnorm Psychol. 2020;129:56–63.
doi: 10.1037/abn0000473
pubmed: 31868388
Twohig-Bennett C, Jones A. The health benefits of the great outdoors: A systematic review and meta-analysis of greenspace exposure and health outcomes. Environ Res. 2018;166:628–37. https://doi.org/10.1016/j.envres.2018.06.030 .
doi: 10.1016/j.envres.2018.06.030
pubmed: 29982151
pmcid: 6562165
Watkins KL, Regan SD, Nguyen N, Businelle MS, Kendzor DE, Lam C, et al. Advancing Cessation Research by Integrating EMA and Geospatial Methodologies: Associations Between Tobacco Retail Outlets and Real-time Smoking Urges During a Quit Attempt. Nicotine Tob Res. 2014;16(Suppl 2):S93–101. https://doi.org/10.1093/ntr/ntt135 .
World Health Organization. Ottawa Charter for Health Promotion, 1986. Regional Office for Europe. 1986;6. https://iris.who.int/handle/10665/349652 .
Wrzus C, Mehl MR. Lab And/Or Field? Measuring Personality Processes and Their Social Consequences. Eur J Pers. 2015;29:250–71. https://doi.org/10.1002/per.1986 .
doi: 10.1002/per.1986
York Cornwell E, Goldman AW. Neighborhood Disorder and Distress in Real Time: Evidence from a Smartphone-Based Study of Older Adults. J Health Soc Behav. 2020;61(4):523–41.
doi: 10.1177/0022146520967660
pubmed: 33210544
Yu R, Cheung O, Lau K, Woo J. Associations between Perceived Neighborhood Walkability and Walking Time, Wellbeing, and Loneliness in Community-Dwelling Older Chinese People in Hong Kong. Int J Environ Res Public Health. 2017;14(10):1199. https://doi.org/10.3390/ijerph14101199 .
doi: 10.3390/ijerph14101199
pubmed: 28991205
pmcid: 5664700
Zamanifard H, Alizadeh T, Bosman C, Coiacetto E. Measuring experiential qualities of urban public spaces: users’ perspective. J Urban Design. 2019;24(3):340–64. https://doi.org/10.1080/13574809.2018.1484664 .
doi: 10.1080/13574809.2018.1484664
Zandbergen PA, Barbeau SJ. Positional Accuracy of Assisted GPS Data from High-Sensitivity GPS-enabled Mobile Phones. J Nav. 2011;64(3):381–99. https://doi.org/10.1017/S0373463311000051 .
doi: 10.1017/S0373463311000051
Zhang L, Zhou S, Kwan MP. The temporality of geographic contexts: Individual environmental exposure has time-related effects on mood. Health Place. 2023;79:102953. https://doi.org/10.1016/j.healthplace.2022.102953 .
Zhang X, Zhou S, Kwan MP, Su L, Lu J. Geographic Ecological Momentary Assessment (GEMA) of environmental noise annoyance: the influence of activity context and the daily acoustic environment. Int J Health Geogr. 2020;19(1):50. https://doi.org/10.1186/s12942-020-00246-w .
doi: 10.1186/s12942-020-00246-w
pubmed: 33228691
pmcid: 7685569