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Morrison CN, Mair CF, Bates L, Duncan DT, Branas CC, Bushover BR, Mehranbod CA, Gobaud AN, Uong S, Forrest S, Roberts L, Rundle AG. Defining Spatial Epidemiology: A Systematic Review and Re-orientation. Epidemiology 2024; 35:542-555. [PMID: 38534176 PMCID: PMC11196201 DOI: 10.1097/ede.0000000000001738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/28/2024]
Abstract
BACKGROUND Spatial epidemiology has emerged as an important subfield of epidemiology over the past quarter century. We trace the origins of spatial epidemiology and note that its emergence coincided with technological developments in spatial statistics and geography. We hypothesize that spatial epidemiology makes important contributions to descriptive epidemiology and analytic risk-factor studies but is not yet aligned with epidemiology's current focus on causal inference and intervention. METHODS We conducted a systematic review of studies indexed in PubMed that used the term "spatial epidemiolog*" in the title, abstract, or keywords. Excluded articles were not written in English, examined disease in animals, or reported biologic pathogen distribution only. We coded the included papers into five categories (review, demonstration of method, descriptive, analytic, and intervention) and recorded the unit of analysis (i.e., individual vs. ecological). We additionally examined articles coded as analytic ecologic studies using scales for lexical content. RESULTS A total of 482 articles met the inclusion criteria, including 76 reviews, 117 demonstrations of methods, 122 descriptive studies, 167 analytic studies, and 0 intervention studies. Demonstration studies were most common from 2006 to 2014, and analytic studies were most common after 2015. Among the analytic ecologic studies, those published in later years used more terms relevant to spatial statistics (incidence rate ratio =1.3; 95% confidence interval [CI] = 1.1, 1.5) and causal inference (incidence rate ratio =1.1; 95% CI = 1.1, 1.2). CONCLUSIONS Spatial epidemiology is an important and growing subfield of epidemiology. We suggest a re-orientation to help align its practice with the goals of contemporary epidemiology.
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Affiliation(s)
- Christopher N. Morrison
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Christina F. Mair
- Behavioral and Community Health Sciences, School of Public Health, University of Pittsburgh, Pittsburgh, PA
| | - Lisa Bates
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY
| | - Dustin T. Duncan
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY
| | - Charles C. Branas
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY
| | - Brady R. Bushover
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY
| | - Christina A. Mehranbod
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY
| | - Ariana N. Gobaud
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY
| | - Stephen Uong
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY
| | - Sarah Forrest
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY
| | - Leah Roberts
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY
| | - Andrew G. Rundle
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY
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Muaddi MA. Exploring the Causal Relationship Between Modifiable Exposures and Diabetes Mellitus: A Two-Sample Mendelian Randomization Analysis. Cureus 2024; 16:e59034. [PMID: 38800249 PMCID: PMC11128034 DOI: 10.7759/cureus.59034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/25/2024] [Indexed: 05/29/2024] Open
Abstract
Background Observational studies link lifestyle factors to diabetes, but confounding limits causal inference. This study employed Mendelian randomization (MR) to investigate the potential causal effects of major dietary, obesity, smoking, and physical activity exposures on diabetes risk. Methods A two-sample MR framework integrated FinnGen and United Kingdom Biobank (UKB) data. Genetic instruments for diet (fruits, vegetables, cheese), smoking (initiation, intensity, maternal), body mass index (BMI), and physical activity came from various consortia (n=64, 949-632, 802). Associations with diabetes odds were assessed using inverse-variance weighted analysis. Results Fruit and cheese intake and physical activity per standard deviation increase causally reduced diabetes risk in both cohorts. Conversely, smoking initiation, maternal smoking around birth, and BMI per standard deviation increase causally increased diabetes risk in both cohorts. Coffee increased diabetes risk only in FinnGen, whereas smoking intensity increased diabetes risk only in UKB. Conclusion This study provides robust evidence that modifiable lifestyle factors may have causal effects on diabetes risk. Fruit, cheese, and physical activity may protect against diabetes, whereas smoking, maternal smoking, and higher BMI appear to increase risk. Findings support public health interventions targeting diet, physical activity, smoking cessation, and healthy weight to combat the global diabetes epidemic.
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Affiliation(s)
- Mohammed A Muaddi
- Family and Community Medicine Department, Jazan University, Jazan, SAU
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Macassa G, McGrath C. Common Problems! and Common Solutions? - Teaching at the Intersection Between Public Health and Criminology: A Public Health Perspective. Ann Glob Health 2024; 90:12. [PMID: 38370862 PMCID: PMC10870948 DOI: 10.5334/aogh.4375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 01/20/2024] [Indexed: 02/20/2024] Open
Abstract
Public health and criminology share similar current and future challenges, mostly related to crime and health causation, prevention, and sustainable development. Interdisciplinary and transdisciplinary approaches to education at the intersection of public health and criminology can be an integral part of future training in areas of mutual interest. Based on reflections on teaching criminology students, this viewpoint discusses the main interconnections between public health and criminology teaching through the public health lens. The paper discusses potential challenges associated with interdisciplinarity and transdisciplinarity. Among these challenges is communication across the different fields and their perspectives to be able to achieve the desired complementarity at the intersection of the two disciplines.
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Affiliation(s)
- Gloria Macassa
- Department of Public Health and Sports Science, Faculty of Occupational and Health Sciences, University of Gävle, Kungsbacksvägen 47, 80176 Gävle, Sweden
- Department of Public Health, School of Health Sciences, University of Skövde, 541 28 Skövde, Sweden
| | - Cormac McGrath
- EPIUnit–Instituto de Saude Publica, Universidade do Porto, Rua das Taipas 135, 4050–600 Porto, Portugal
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