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ToolsJia, Peng, Yu, Chao, Remais, Justin V., Stein, Alfred, Liu, Yu, Brownson, Ross C., Lakerveld, Jeroen, Wu, Tong, Yang, Lijian, Smith, Melody, Amer, Sherif, Pearce, Jamie, Kestens, Yan, Kwan, Mei-po, Lai, Shengjie, Xu, Fei, Chen, Xi, Rundle, Andrew, Xiao, Qian, Xue, Hong, Luo, Miyang, Zhao, Li, Cheng, Guo, Yang, Shujuan, Zhou, Xiaolu, Li, Yan, Panter, Jenna, Kingham, Simon, Jones, Andy, Johnson, Blair T., Shi, Xun, Zhang, Lin, Wang, Limin, Wu, Jianguo, Mavoa, Suzanne, Toivonen, Tuuli, Mwenda, Kevin M., Wang, Youfa, Verschuren, W. M. Monique, Vermeulen, Roel and James, Peter (2020) Spatial Lifecourse Epidemiology Reporting Standards (ISLE-ReSt) statement. Health & Place, 61. ISSN 1353-8292
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Abstract
Spatial lifecourse epidemiology is an interdisciplinary field that utilizes advanced spatial, location-based, and artificial intelligence technologies to investigate the long-term effects of environmental, behavioural, psychosocial, and biological factors on health-related states and events and the underlying mechanisms. With the growing number of studies reporting findings from this field and the critical need for public health and policy decisions to be based on the strongest science possible, transparency and clarity in reporting in spatial lifecourse epidemiologic studies is essential. A task force supported by the International Initiative on Spatial Lifecourse Epidemiology (ISLE) identified a need for guidance in this area and developed a Spatial Lifecourse Epidemiology Reporting Standards (ISLE-ReSt) Statement. The aim is to provide a checklist of recommendations to improve and make more consistent reporting of spatial lifecourse epidemiologic studies. The STrengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement for cohort studies was identified as an appropriate starting point to provide initial items to consider for inclusion. Reporting standards for spatial data and methods were then integrated to form a single comprehensive checklist of reporting recommendations. The strength of our approach has been our international and multidisciplinary team of content experts and contributors who represent a wide range of relevant scientific conventions, and our adherence to international norms for the development of reporting guidelines. As spatial, location-based, and artificial intelligence technologies used in spatial lifecourse epidemiology continue to evolve at a rapid pace, it will be necessary to revisit and adapt the ISLE-ReSt at least every 2–3 years from its release.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | sdg 3 - good health and well-being ,/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being |
| Faculty \ School: | Faculty of Medicine and Health Sciences > Norwich Medical School |
| UEA Research Groups: | Faculty of Medicine and Health Sciences > Research Centres > Business and Local Government Data Research Centre (former - to 2023) Faculty of Medicine and Health Sciences > Research Groups > Epidemiology and Public Health Faculty of Medicine and Health Sciences > Research Groups > Health Promotion Faculty of Medicine and Health Sciences > Research Groups > Public Health and Health Services Research (former - to 2023) Faculty of Medicine and Health Sciences > Research Centres > Norwich Institute for Healthy Aging |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 11 Dec 2019 02:33 |
| Last Modified: | 07 Aug 2023 11:30 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/73338 |
| DOI: | 10.1016/j.healthplace.2019.102243 |
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