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R|S Atlas: Identifying existing cohort study data resources to accelerate epidemiological research on the influence of religion and spirituality on human health
OBJECTIVE: Many studies have documented significant associations between religion and spirituality (R/S) and health, but relatively few prospective analyses exist that can support causal inferences. To date, there has been no systematic analysis of R/S survey items collected in US cohort studies. We...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8547361/ https://www.ncbi.nlm.nih.gov/pubmed/34697108 http://dx.doi.org/10.1136/bmjopen-2020-043830 |
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author | Schachter, Anna Boonin Argentieri, M Austin Seddighzadeh, Bobak Isehunwa, Oluwaseyi O Kent, Blake Victor Trevvett, Philip McDuffie, Michael Mandel, Laura Pargament, Kenneth I Underwood, Lynn G McCray, Alexa T Shields, Alexandra E |
author_facet | Schachter, Anna Boonin Argentieri, M Austin Seddighzadeh, Bobak Isehunwa, Oluwaseyi O Kent, Blake Victor Trevvett, Philip McDuffie, Michael Mandel, Laura Pargament, Kenneth I Underwood, Lynn G McCray, Alexa T Shields, Alexandra E |
author_sort | Schachter, Anna Boonin |
collection | PubMed |
description | OBJECTIVE: Many studies have documented significant associations between religion and spirituality (R/S) and health, but relatively few prospective analyses exist that can support causal inferences. To date, there has been no systematic analysis of R/S survey items collected in US cohort studies. We conducted a systematic content analysis of all surveys ever fielded in 20 diverse US cohort studies funded by the National Institutes of Health (NIH) to identify all R/S-related items collected from each cohort’s baseline survey through 2014. DESIGN: An R|S Ontology was developed from our systematic content analysis to categorise all R/S survey items identified into key conceptual categories. A systematic literature review was completed for each R/S item to identify any cohort publications involving these items through 2018. RESULTS: Our content analysis identified 319 R/S survey items, reflecting 213 unique R/S constructs and 50 R|S Ontology categories. 193 of the 319 extant R/S survey items had been analysed in at least one published paper. Using these data, we created the R|S Atlas (https://atlas.mgh.harvard.edu/), a publicly available, online relational database that allows investigators to identify R/S survey items that have been collected by US cohorts, and to further refine searches by other key data available in cohorts that may be necessary for a given study (eg, race/ethnicity, availability of DNA or geocoded data). CONCLUSIONS: R|S Atlas not only allows researchers to identify available sources of R/S data in cohort studies but will also assist in identifying novel research questions that have yet to be explored within the context of US cohort studies. |
format | Online Article Text |
id | pubmed-8547361 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-85473612021-10-29 R|S Atlas: Identifying existing cohort study data resources to accelerate epidemiological research on the influence of religion and spirituality on human health Schachter, Anna Boonin Argentieri, M Austin Seddighzadeh, Bobak Isehunwa, Oluwaseyi O Kent, Blake Victor Trevvett, Philip McDuffie, Michael Mandel, Laura Pargament, Kenneth I Underwood, Lynn G McCray, Alexa T Shields, Alexandra E BMJ Open Epidemiology OBJECTIVE: Many studies have documented significant associations between religion and spirituality (R/S) and health, but relatively few prospective analyses exist that can support causal inferences. To date, there has been no systematic analysis of R/S survey items collected in US cohort studies. We conducted a systematic content analysis of all surveys ever fielded in 20 diverse US cohort studies funded by the National Institutes of Health (NIH) to identify all R/S-related items collected from each cohort’s baseline survey through 2014. DESIGN: An R|S Ontology was developed from our systematic content analysis to categorise all R/S survey items identified into key conceptual categories. A systematic literature review was completed for each R/S item to identify any cohort publications involving these items through 2018. RESULTS: Our content analysis identified 319 R/S survey items, reflecting 213 unique R/S constructs and 50 R|S Ontology categories. 193 of the 319 extant R/S survey items had been analysed in at least one published paper. Using these data, we created the R|S Atlas (https://atlas.mgh.harvard.edu/), a publicly available, online relational database that allows investigators to identify R/S survey items that have been collected by US cohorts, and to further refine searches by other key data available in cohorts that may be necessary for a given study (eg, race/ethnicity, availability of DNA or geocoded data). CONCLUSIONS: R|S Atlas not only allows researchers to identify available sources of R/S data in cohort studies but will also assist in identifying novel research questions that have yet to be explored within the context of US cohort studies. BMJ Publishing Group 2021-10-25 /pmc/articles/PMC8547361/ /pubmed/34697108 http://dx.doi.org/10.1136/bmjopen-2020-043830 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Epidemiology Schachter, Anna Boonin Argentieri, M Austin Seddighzadeh, Bobak Isehunwa, Oluwaseyi O Kent, Blake Victor Trevvett, Philip McDuffie, Michael Mandel, Laura Pargament, Kenneth I Underwood, Lynn G McCray, Alexa T Shields, Alexandra E R|S Atlas: Identifying existing cohort study data resources to accelerate epidemiological research on the influence of religion and spirituality on human health |
title | R|S Atlas: Identifying existing cohort study data resources to accelerate epidemiological research on the influence of religion and spirituality on human health |
title_full | R|S Atlas: Identifying existing cohort study data resources to accelerate epidemiological research on the influence of religion and spirituality on human health |
title_fullStr | R|S Atlas: Identifying existing cohort study data resources to accelerate epidemiological research on the influence of religion and spirituality on human health |
title_full_unstemmed | R|S Atlas: Identifying existing cohort study data resources to accelerate epidemiological research on the influence of religion and spirituality on human health |
title_short | R|S Atlas: Identifying existing cohort study data resources to accelerate epidemiological research on the influence of religion and spirituality on human health |
title_sort | r|s atlas: identifying existing cohort study data resources to accelerate epidemiological research on the influence of religion and spirituality on human health |
topic | Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8547361/ https://www.ncbi.nlm.nih.gov/pubmed/34697108 http://dx.doi.org/10.1136/bmjopen-2020-043830 |
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