دورية أكاديمية
أعرض في EDS

The geography of arthritis-attributable pain outcomes: a county-level spatial analysis.

التفاصيل البيبلوغرافية
العنوان: The geography of arthritis-attributable pain outcomes: a county-level spatial analysis.
المؤلفون: Sun F; Department of Kinesiology, University of Texas at Arlington, Arlington, TX, United States., Zajacova A; Department of Sociology, University of Western Ontario, London, ON, Canada., Grol-Prokopczyk H; Department of Sociology, University at Buffalo, State University of New York, Buffalo, NY, United States.
المصدر: Pain [Pain] 2024 Jul 01; Vol. 165 (7), pp. 1505-1512. Date of Electronic Publication: 2024 Jan 25.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 7508686 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-6623 (Electronic) Linking ISSN: 03043959 NLM ISO Abbreviation: Pain Subsets: MEDLINE
أسماء مطبوعة: Publication: 2015- : Hagerstown, MD : Lippincott Williams & Wilkins
Original Publication: Amsterdam, Elsevier/North-Holland.
مواضيع طبية MeSH: Arthritis*/epidemiology , Spatial Analysis*, Humans ; Female ; Male ; United States/epidemiology ; Prevalence ; Middle Aged ; Adult ; Pain/epidemiology ; Behavioral Risk Factor Surveillance System ; Aged ; Arthralgia/epidemiology
مستخلص: Abstract: Research on the geographic distribution of pain and arthritis outcomes, especially at the county level, is limited. This is a high-priority topic, however, given the heterogeneity of subnational and substate regions and the importance of county-level governments in shaping population health. Our study provides the most fine-grained picture to date of the geography of pain in the United States. Combining 2011 Behavioral Risk Factor Surveillance System data with county-level data from the Census and other sources, we examined arthritis and arthritis-attributable joint pain, severe joint pain, and activity limitations in US counties. We used small area estimation to estimate county-level prevalences and spatial analyses to visualize and model these outcomes. Models considering spatial structures show superiority over nonspatial models. Counties with higher prevalences of arthritis and arthritis-related outcomes are mostly clustered in the Deep South and Appalachia, while severe consequences of arthritis are particularly common in counties in the Southwest, Pacific Northwest, Georgia, Florida, and Maine. Net of arthritis, county-level percentages of racial/ethnic minority groups are negatively associated with joint pain prevalence, but positively associated with severe joint pain prevalence. Severe joint pain is also more common in counties with more female individuals, separated or divorced residents, more high school noncompleters, fewer chiropractors, and higher opioid prescribing rates. Activity limitations are more common in counties with higher percentages of uninsured people. Our findings show that different spatial processes shape the distribution of different arthritis-related pain outcomes, which may inform local policies and programs to reduce the risk of arthritis and its consequences.
(Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the International Association for the Study of Pain.)
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معلومات مُعتمدة: R01 AG065351 United States AG NIA NIH HHS; R01AG065351 United States AG NIA NIH HHS; R01AG065351 United States AG NIA NIH HHS
تواريخ الأحداث: Date Created: 20240129 Date Completed: 20240620 Latest Revision: 20240623
رمز التحديث: 20240623
مُعرف محوري في PubMed: PMC11190894
DOI: 10.1097/j.pain.0000000000003155
PMID: 38284413
قاعدة البيانات: MEDLINE
الوصف
تدمد:1872-6623
DOI:10.1097/j.pain.0000000000003155