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Spatial Lifecourse Epidemiology Reporting Standards (ISLE-ReSt) statement

Spatial Lifecourse Epidemiology Reporting Standards (ISLE-ReSt) statement
Spatial Lifecourse Epidemiology Reporting Standards (ISLE-ReSt) statement
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.
Spatial lifecourse epidemiology, Spatial epidemiology, Lifecourse epidemiology, Reporting standard, Reporting guideline, Big data, Location-based, Artificial intelligence, Exposome, Exposomics, ISLE
1353-8292
Jia, Peng
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Yu, Chao
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Remais, Justin V.
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Stein, Alfred
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Brownson, Ross C.
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Lakerveld, Jeroen
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Wu, Tong
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Yang, Lijian
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Smith, Melody
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Amer, Sherif
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Pearce, Jamie
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Kestens, Yan
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Kwan, Mei-Po
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Lai, Shengjie
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Chen, Xi
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Xiao, Qian
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Xue, Hong
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Luo, Miyang
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Zhao, Li
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Cheng, Guo
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Yang, Shujuan
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Zhou, Xiaolu
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Li, Yan
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Panter, Jenna
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Kingham, Simon
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Jones, Andy
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Johnson, Blair T.
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Shi, Xun
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Zhang, Lin
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Wang, Limin
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Wu, Jianguo
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Mavoa, Suzanne
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Toivonen, Tuuli
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Mwenda, Kevin M.
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Wang, Youfa
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Verschuren, W.M. Monique
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Vermeulen, Roel
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James, Peter
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Jia, Peng
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Yu, Chao
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Remais, Justin V.
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Stein, Alfred
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Liu, Yu
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Brownson, Ross C.
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Lakerveld, Jeroen
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Wu, Tong
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Yang, Lijian
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Smith, Melody
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Amer, Sherif
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Pearce, Jamie
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Kestens, Yan
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Kwan, Mei-Po
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Lai, Shengjie
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Xu, Fei
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Chen, Xi
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Rundle, Andrew
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Xiao, Qian
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Xue, Hong
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Luo, Miyang
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Zhao, Li
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Cheng, Guo
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Yang, Shujuan
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Zhou, Xiaolu
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Li, Yan
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Panter, Jenna
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Kingham, Simon
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Jones, Andy
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Johnson, Blair T.
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Zhang, Lin
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Wang, Limin
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Wu, Jianguo
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Mavoa, Suzanne
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Toivonen, Tuuli
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Mwenda, Kevin M.
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Wang, Youfa
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Verschuren, W.M. Monique
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Vermeulen, Roel
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James, Peter
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Jia, 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 (2019) Spatial Lifecourse Epidemiology Reporting Standards (ISLE-ReSt) statement. Health & Place, [102243]. (doi:10.1016/j.healthplace.2019.102243).

Record type: Article

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.

Text
1-s2.0-S1353829219306355-main - Version of Record
Available under License Creative Commons Attribution Non-commercial No Derivatives.
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More information

Accepted/In Press date: 8 November 2019
e-pub ahead of print date: 4 December 2019
Keywords: Spatial lifecourse epidemiology, Spatial epidemiology, Lifecourse epidemiology, Reporting standard, Reporting guideline, Big data, Location-based, Artificial intelligence, Exposome, Exposomics, ISLE

Identifiers

Local EPrints ID: 436832
URI: http://eprints.soton.ac.uk/id/eprint/436832
DOI: doi:10.1016/j.healthplace.2019.102243
ISSN: 1353-8292
PURE UUID: 8be7b3a6-8435-44f1-973d-33150e3485f1
ORCID for Shengjie Lai: ORCID iD orcid.org/0000-0001-9781-8148

Catalogue record

Date deposited: 10 Jan 2020 17:34
Last modified: 17 Mar 2024 03:52

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Contributors

Author: Peng Jia
Author: Chao Yu
Author: Justin V. Remais
Author: Alfred Stein
Author: Yu Liu
Author: Ross C. Brownson
Author: Jeroen Lakerveld
Author: Tong Wu
Author: Lijian Yang
Author: Melody Smith
Author: Sherif Amer
Author: Jamie Pearce
Author: Yan Kestens
Author: Mei-Po Kwan
Author: Shengjie Lai ORCID iD
Author: Fei Xu
Author: Xi Chen
Author: Andrew Rundle
Author: Qian Xiao
Author: Hong Xue
Author: Miyang Luo
Author: Li Zhao
Author: Guo Cheng
Author: Shujuan Yang
Author: Xiaolu Zhou
Author: Yan Li
Author: Jenna Panter
Author: Simon Kingham
Author: Andy Jones
Author: Blair T. Johnson
Author: Xun Shi
Author: Lin Zhang
Author: Limin Wang
Author: Jianguo Wu
Author: Suzanne Mavoa
Author: Tuuli Toivonen
Author: Kevin M. Mwenda
Author: Youfa Wang
Author: W.M. Monique Verschuren
Author: Roel Vermeulen
Author: Peter James

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