Systematic review of best practices for GPS data usage, processing, and linkage in health, exposure science and environmental context research

被引:1
|
作者
Pearson, Amber L. [1 ]
Tribby, Calvin [2 ]
Brown, Catherine D. [3 ]
Yang, Jiue-An [2 ]
Pfeiffer, Karin [4 ]
Jankowska, Marta M. [2 ]
机构
[1] Michigan State Univ, CS Mott Dept Publ Hlth, Flint 48502, MI USA
[2] Beckman Res Inst City Hope, Dept Populat Sci, Duarte, CA USA
[3] Michigan State Univ, Dept Geog Environm & Spatial Sci, E Lansing, MI USA
[4] Michigan State Univ, Dept Kinesiol, E Lansing, MI USA
来源
BMJ OPEN | 2024年 / 14卷 / 02期
基金
美国国家卫生研究院;
关键词
imputation; geographic information system; accelerometer; built environment; mobility; exposome; GLOBAL POSITIONING SYSTEM; DAILY PHYSICAL-ACTIVITY; GEOGRAPHIC INFORMATION-SYSTEMS; AIR-POLLUTION; PERSONAL EXPOSURE; SEDENTARY BEHAVIOR; ACCELEROMETER DATA; BUILT-ENVIRONMENT; TIME-ACTIVITY; BLACK CARBON;
D O I
10.1136/bmjopen-2023-077036
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Global Positioning System (GPS) technology is increasingly used in health research to capture individual mobility and contextual and environmental exposures. However, the tools, techniques and decisions for using GPS data vary from study to study, making comparisons and reproducibility challenging.Objectives The objectives of this systematic review were to (1) identify best practices for GPS data collection and processing; (2) quantify reporting of best practices in published studies; and (3) discuss examples found in reviewed manuscripts that future researchers may employ for reporting GPS data usage, processing and linkage of GPS data in health studies.Design A systematic review.Data sources Electronic databases searched (24 October 2023) were PubMed, Scopus and Web of Science (PROSPERO ID: CRD42022322166).Eligibility criteria Included peer-reviewed studies published in English met at least one of the criteria: (1) protocols involving GPS for exposure/context and human health research purposes and containing empirical data; (2) linkage of GPS data to other data intended for research on contextual influences on health; (3) associations between GPS-measured mobility or exposures and health; (4) derived variable methods using GPS data in health research; or (5) comparison of GPS tracking with other methods (eg, travel diary).Data extraction and synthesis We examined 157 manuscripts for reporting of best practices including wear time, sampling frequency, data validity, noise/signal loss and data linkage to assess risk of bias.Results We found that 6% of the studies did not disclose the GPS device model used, only 12.1% reported the per cent of GPS data lost by signal loss, only 15.7% reported the per cent of GPS data considered to be noise and only 68.2% reported the inclusion criteria for their data.Conclusions Our recommendations for reporting on GPS usage, processing and linkage may be transferrable to other geospatial devices, with the hope of promoting transparency and reproducibility in this research.PROSPERO registration number CRD42022322166.
引用
收藏
页数:15
相关论文
共 2 条
  • [1] Using electronic health record data for environmental and place based population health research: a systematic review
    Schinasi, Leah H.
    Auchincloss, Amy H.
    Forrest, Christopher B.
    Roux, Ana V. Diez
    ANNALS OF EPIDEMIOLOGY, 2018, 28 (07) : 493 - 502
  • [2] A systematic review of research reporting practices in observational studies examining associations between 24-h movement behaviors and indicators of health using compositional data analysis
    Denver M. Y. Brown
    Sarah Burkart
    Claire I. Groves
    Guilherme Moraes Balbim
    Christopher D. Pfledderer
    Carah D. Porter
    Christine St. Laurent
    Emily K. Johnson
    Chelsea L. Kracht
    Journal of Activity, Sedentary and Sleep Behaviors, 3 (1):