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

IF 2.2 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Karen L. Pellegrin , Sarah Hales , Patrick O'Neil , Supakit Wongwiwatthananukit , Suchada Jongrungruangchok , Thanapat Songsak , Alicia J. Lozano , Katharine Miller , Christina L. Mnatzaganian , Eduardo Fricovsky , Claudio R. Nigg , Michelle Tagorda-Kama , Alexandra L. Hanlon
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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.

社区文化调查--修订版:在美国和泰国的样本中测量邻里文化并探索健康的地理、社会经济和文化决定因素
目标:由于对文化的测量不足,有关健康的社会、地理和文化决定因素之间联系的研究一直受挫。本研究的目的是改进社区文化的测量方法,社区文化被定义为一个社区内人们共同的态度和行为模式,这些态度和行为模式使该社区有别于其他社区,本研究还将研究独立于社会经济和人口因素的文化维度及其与健康之间的关系。研究设计采用相关性分析的调查研究设计。方法从2016年至2018年,通过便利抽样在美国各地和泰国的一个样本中实施了一个调查包,其中包括社区文化调查-修订版(CCS-R)、人口、健康和其他个人层面的测量方法。结果来自美国 49 个州(n = 1592)和泰国(n = 338)的 1930 名参与者完成了 CCS-R 的所有项目,并从中得出了 12 个分量表:社会支持和联系、对自己和他人的责任、家庭纽带和义务、社会压力、城市多样性、不连续性、教会参与、外部资源寻求、本地企业活跃性、权力蔑视、关注下一代和自力更生。邻里文化分量表的得分因地域而异,因参与者的人口统计学特征而异。所有分量表都能预测一个或多个健康指标,其中一些关系在调整参与者年龄和县级社会经济变量后仍然显著。在对参与者的年龄和县一级的社会经济变量进行调整后,按种族/民族划分的分量表上的大多数显著差异不再显著。经过上述调整后,美国大部分农村/城市和地区的文化差异依然存在。根据相关分析,"社会支持& 联系 "和 "对自己& 他人的责任 "是预测参与者整体健康和生活质量的最佳指标,而 "对自己& 他人的责任 "则是预测疾病预防控制中心社会脆弱性指标的最佳指标(成反比)。CCS-R 有助于推动研究和实践,解决个人、邻里社区和健康结果之间复杂的相互作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Public Health in Practice
Public Health in Practice Medicine-Health Policy
CiteScore
2.80
自引率
0.00%
发文量
117
审稿时长
71 days
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