Methodological Approaches for Measuring the Association Between Heat Exposure and Health Outcomes: A Comprehensive Global Scoping Review
Abstract Objective: To synthesize the methodologies of studies that evaluate the impacts of heat exposure on morbidity and mortality. Methods: Embase, MEDLINE, Web of Science, and Scopus were searched from date of inception until 1 March 2023 for English language literature on heat exposure and heal...
Saved in:
| Main Authors: | , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
American Geophysical Union (AGU)
2024-09-01
|
| Series: | GeoHealth |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2024GH001071 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846168089147736064 |
|---|---|
| author | Peter M. Graffy Ashwin Sunderraj Maxime A. Visa Corinne H. Miller Benjamin W. Barrett Sheetal Rao Sara F. Camilleri Ryan D. Harp Chuxuan Li Anne Brenneman Jennifer Chan Abel Kho Norrina Allen Daniel E. Horton |
| author_facet | Peter M. Graffy Ashwin Sunderraj Maxime A. Visa Corinne H. Miller Benjamin W. Barrett Sheetal Rao Sara F. Camilleri Ryan D. Harp Chuxuan Li Anne Brenneman Jennifer Chan Abel Kho Norrina Allen Daniel E. Horton |
| author_sort | Peter M. Graffy |
| collection | DOAJ |
| description | Abstract Objective: To synthesize the methodologies of studies that evaluate the impacts of heat exposure on morbidity and mortality. Methods: Embase, MEDLINE, Web of Science, and Scopus were searched from date of inception until 1 March 2023 for English language literature on heat exposure and health outcomes. Records were collated, deduplicated and screened, and full texts were reviewed for inclusion and data abstraction. Eligibility for inclusion was determined as any article with climate‐related heat exposure and an associated morbidity/mortality outcome. Results: Of 13,136 records initially identified, 237 articles were selected for analysis. The scope of research represented 43 countries, with most studies conducted in China (62), the USA (44), and Australia (16). Across all studies, there were 141 unique climate data sources, no standard threshold for extreme heat, and 200 unique health outcome data sources. The distributed lag non‐linear model (DLNM) was the most common analytic method (48.1% of studies) and had high usage rates in China (68.9%) and the USA (31.8%); Australia frequently used conditional logistic regression (50%). Conditional logistic regression was most prevalent in case‐control studies (5 of 8 studies, 62.5%) and in case‐crossover studies (29 of 70, 41.4%). DLNMs were most common in time series studies (64 of 111, 57.7%) and ecological studies (13 of 20, 65.0%). Conclusions: This review underscores the heterogeneity of methods in heat impact studies across diverse settings and provides a resource for future researchers. Underrepresentation of certain countries, health outcomes, and limited data access were identified as potential barriers. |
| format | Article |
| id | doaj-art-1c37e672213f4f6b9798940a631efbbf |
| institution | Kabale University |
| issn | 2471-1403 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | American Geophysical Union (AGU) |
| record_format | Article |
| series | GeoHealth |
| spelling | doaj-art-1c37e672213f4f6b9798940a631efbbf2024-11-14T08:06:08ZengAmerican Geophysical Union (AGU)GeoHealth2471-14032024-09-0189n/an/a10.1029/2024GH001071Methodological Approaches for Measuring the Association Between Heat Exposure and Health Outcomes: A Comprehensive Global Scoping ReviewPeter M. Graffy0Ashwin Sunderraj1Maxime A. Visa2Corinne H. Miller3Benjamin W. Barrett4Sheetal Rao5Sara F. Camilleri6Ryan D. Harp7Chuxuan Li8Anne Brenneman9Jennifer Chan10Abel Kho11Norrina Allen12Daniel E. Horton13Department of Preventive Medicine Northwestern University Chicago IL USADepartment of Preventive Medicine Northwestern University Chicago IL USADepartment of Earth & Planetary Sciences Northwestern University Evanston IL USAGalter Health Sciences Library, Feinberg School of Medicine Northwestern University Chicago IL USADepartment of Preventive Medicine Northwestern University Chicago IL USADepartment of Academic Internal Medicine University of Illinois College of Medicine at Chicago Chicago IL USADepartment of Earth & Planetary Sciences Northwestern University Evanston IL USADepartment of Earth & Planetary Sciences Northwestern University Evanston IL USADepartment of Earth & Planetary Sciences Northwestern University Evanston IL USADepartment of Emergency Medicine Northwestern University Chicago IL USADepartment of Emergency Medicine Northwestern University Chicago IL USADepartment of Preventive Medicine Northwestern University Chicago IL USADepartment of Preventive Medicine Northwestern University Chicago IL USADepartment of Earth & Planetary Sciences Northwestern University Evanston IL USAAbstract Objective: To synthesize the methodologies of studies that evaluate the impacts of heat exposure on morbidity and mortality. Methods: Embase, MEDLINE, Web of Science, and Scopus were searched from date of inception until 1 March 2023 for English language literature on heat exposure and health outcomes. Records were collated, deduplicated and screened, and full texts were reviewed for inclusion and data abstraction. Eligibility for inclusion was determined as any article with climate‐related heat exposure and an associated morbidity/mortality outcome. Results: Of 13,136 records initially identified, 237 articles were selected for analysis. The scope of research represented 43 countries, with most studies conducted in China (62), the USA (44), and Australia (16). Across all studies, there were 141 unique climate data sources, no standard threshold for extreme heat, and 200 unique health outcome data sources. The distributed lag non‐linear model (DLNM) was the most common analytic method (48.1% of studies) and had high usage rates in China (68.9%) and the USA (31.8%); Australia frequently used conditional logistic regression (50%). Conditional logistic regression was most prevalent in case‐control studies (5 of 8 studies, 62.5%) and in case‐crossover studies (29 of 70, 41.4%). DLNMs were most common in time series studies (64 of 111, 57.7%) and ecological studies (13 of 20, 65.0%). Conclusions: This review underscores the heterogeneity of methods in heat impact studies across diverse settings and provides a resource for future researchers. Underrepresentation of certain countries, health outcomes, and limited data access were identified as potential barriers.https://doi.org/10.1029/2024GH001071climate changeextreme heatstatistical modelsmethodology |
| spellingShingle | Peter M. Graffy Ashwin Sunderraj Maxime A. Visa Corinne H. Miller Benjamin W. Barrett Sheetal Rao Sara F. Camilleri Ryan D. Harp Chuxuan Li Anne Brenneman Jennifer Chan Abel Kho Norrina Allen Daniel E. Horton Methodological Approaches for Measuring the Association Between Heat Exposure and Health Outcomes: A Comprehensive Global Scoping Review GeoHealth climate change extreme heat statistical models methodology |
| title | Methodological Approaches for Measuring the Association Between Heat Exposure and Health Outcomes: A Comprehensive Global Scoping Review |
| title_full | Methodological Approaches for Measuring the Association Between Heat Exposure and Health Outcomes: A Comprehensive Global Scoping Review |
| title_fullStr | Methodological Approaches for Measuring the Association Between Heat Exposure and Health Outcomes: A Comprehensive Global Scoping Review |
| title_full_unstemmed | Methodological Approaches for Measuring the Association Between Heat Exposure and Health Outcomes: A Comprehensive Global Scoping Review |
| title_short | Methodological Approaches for Measuring the Association Between Heat Exposure and Health Outcomes: A Comprehensive Global Scoping Review |
| title_sort | methodological approaches for measuring the association between heat exposure and health outcomes a comprehensive global scoping review |
| topic | climate change extreme heat statistical models methodology |
| url | https://doi.org/10.1029/2024GH001071 |
| work_keys_str_mv | AT petermgraffy methodologicalapproachesformeasuringtheassociationbetweenheatexposureandhealthoutcomesacomprehensiveglobalscopingreview AT ashwinsunderraj methodologicalapproachesformeasuringtheassociationbetweenheatexposureandhealthoutcomesacomprehensiveglobalscopingreview AT maximeavisa methodologicalapproachesformeasuringtheassociationbetweenheatexposureandhealthoutcomesacomprehensiveglobalscopingreview AT corinnehmiller methodologicalapproachesformeasuringtheassociationbetweenheatexposureandhealthoutcomesacomprehensiveglobalscopingreview AT benjaminwbarrett methodologicalapproachesformeasuringtheassociationbetweenheatexposureandhealthoutcomesacomprehensiveglobalscopingreview AT sheetalrao methodologicalapproachesformeasuringtheassociationbetweenheatexposureandhealthoutcomesacomprehensiveglobalscopingreview AT sarafcamilleri methodologicalapproachesformeasuringtheassociationbetweenheatexposureandhealthoutcomesacomprehensiveglobalscopingreview AT ryandharp methodologicalapproachesformeasuringtheassociationbetweenheatexposureandhealthoutcomesacomprehensiveglobalscopingreview AT chuxuanli methodologicalapproachesformeasuringtheassociationbetweenheatexposureandhealthoutcomesacomprehensiveglobalscopingreview AT annebrenneman methodologicalapproachesformeasuringtheassociationbetweenheatexposureandhealthoutcomesacomprehensiveglobalscopingreview AT jenniferchan methodologicalapproachesformeasuringtheassociationbetweenheatexposureandhealthoutcomesacomprehensiveglobalscopingreview AT abelkho methodologicalapproachesformeasuringtheassociationbetweenheatexposureandhealthoutcomesacomprehensiveglobalscopingreview AT norrinaallen methodologicalapproachesformeasuringtheassociationbetweenheatexposureandhealthoutcomesacomprehensiveglobalscopingreview AT danielehorton methodologicalapproachesformeasuringtheassociationbetweenheatexposureandhealthoutcomesacomprehensiveglobalscopingreview |