Evidence map›Paper›PMID 38846106›Full record

ArticlePublic health in practice (Oxford, England)2024

Community Culture Survey - Revised: Measuring neighborhood culture and exploring geographic, socioeconomic, and cultural determinants of health in samples across the United States and in Thailand.

Karen L Pellegrin, Sarah Hales, Patrick O'Neil, Supakit Wongwiwatthananukit, Suchada Jongrungruangchok, Thanapat Songsak, Alicia J Lozano, Katharine Miller, Christina L Mnatzaganian, Eduardo Fricovsky and 3 more

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Article in Public health in practice (Oxford, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Karen L PellegrinCenter for Rural Health Science, Daniel K. Inouye College of Pharmacy, University of Hawai'i at Hilo, USA.
Sarah HalesWeight Management Center, Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, USA.
Patrick O'NeilWeight Management Center, Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, USA.
Supakit WongwiwatthananukitDepartment of Pharmacy Practice, Daniel K. Inouye College of Pharmacy, University of Hawai'i at Hilo, USA.
Suchada JongrungruangchokCollege of Pharmacy, Rangsit University, Pathum Thani, Thailand.
Thanapat SongsakCollege of Pharmacy, Rangsit University, Pathum Thani, Thailand.
Alicia J LozanoCenter for Biostatistics and Health Data Science (CBHDS), Department of Statistics, Virginia Tech, USA.
Katharine MillerStatistical Applications and Innovations Group (SAIG), Department of Statistics, Virginia Tech, USA.
Christina L MnatzaganianUniversity of California San Diego, Skaggs School of Pharmacy and Pharmaceutical Sciences, USA.
Eduardo FricovskyUniversity of California San Diego, Skaggs School of Pharmacy and Pharmaceutical Sciences, USA.
Claudio R NiggDepartment of Health Science, Institute of Sport Science, University of Bern, Switzerland.
Michelle Tagorda-KamaOffice of Public Health Studies, University of Hawai'i at Mānoa, USA.
Alexandra L HanlonCenter for Biostatistics and Health Data Science (CBHDS), Department of Statistics, Virginia Tech, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Research on links between social, geographic, and cultural determinants of health has been thwarted by inadequate measures of culture. The purpose of this study was to improve the measurement of community culture, defined as shared patterns of attitudes and behaviors among people within a neighborhood that distinguish it from others, and to examine dimensions of culture, independent of socioeconomic and demographic factors, and their relationships with health. Study design: A survey research design with correlational analyses was used. Methods: A survey packet including the Community Culture Survey - Revised (CCS-R), demographic, health, and other individual-level measures was administered through convenience sampling across the United States (US) and to a sample in Thailand from 2016 to 2018. US county-level variables were obtained from zip codes. Results: 1930 participants from 49 US states (n = 1592) and Thailand (n = 338) completed all CCS-R items, from which 12 subscales were derived: Social Support & Connectedness, Responsibility for Self & Others, Family Ties & Duties, Social Distress, Urban Diversity, Discontinuity, Church-Engaged, External Resource-Seeking, Locally Owned Business-Active, Power Deference, Next Generation Focus, and Self-Reliance. Neighborhood culture subscale scores varied more by geography than by participant's demographics. All subscales predicted one or more health indicator, and some of these relationships were significant after adjusting for participant age and county-level socioeconomic variables. Most of the significant differences on subscales by race/ethnicity were no longer significant after adjusting for participant's age and county-level socioeconomic variables. Most rural/urban and regional differences in culture within the US persisted after these adjustments. Based on correlational analyses, Social Support & Connectedness and Responsibility for Self & Others were the best predictors of participants' overall health and quality of life, and Responsibility for Self & Others was the best predictor (inversely) of the CDC's measures of social vulnerability. Conclusions: Neighborhood culture is measurable, multi-dimensional, distinct from race/ethnicity, and related to health even after controlling for age and socioeconomic factors. The CCS-R is useful for advancing research and practice addressing the complex interactions between individuals, their neighborhood communities, and health outcomes.

Indexed as

CommunityCultureDisparitiesGeographyNeighborhoodSocial determinants

Identifiers

PMID38846106
PMCPMC11153899

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.