Impact of Residential Area Characteristics and Political Group Participation on Depression Among Middle-Aged and Older Adults: Results of an 11-Year Longitudinal Study.

IF 4.9 3区 医学 Q1 GERIATRICS & GERONTOLOGY Innovation in Aging Pub Date : 2024-01-27 eCollection Date: 2024-01-01 DOI:10.1093/geroni/igae004
Yu-Chun Lin, Huang-Ting Yan
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Abstract

Background and objectives: The claim that political group attendance is associated with poor mental health among older adults may be conditioned on geographic conditions. This study examined the geographical context in which political group participation may be associated with depression.

Research design and methods: The 11-year follow-up data from the Taiwan Longitudinal Study on Aging, covering 5,334 persons aged ≥50 years, were analyzed using random-effects panel logit models. Depression was assessed using 10 items on the Centre for Epidemiologic Studies Depression scale. Participants were asked to indicate whether they belonged to different social groups. We modeled depression as a function of political group participation (the independent variable) and geographical region (moderators), adjusting for individual-level characteristics.

Results: Respondents in political groups were more likely to report depression than those in nonpolitical groups (adjusted odds ratio [AOR] = 1.90, 95% confidence interval [CI] = 1.34-2.68). Between urban and rural settlements, there were no statistically significant differences in mental health outcomes among older adults engaged in political groups (AOR = 1.72, 95% CI = 0.81-3.67). For those who remained politically engaged, living in areas with lower levels of electoral competition was associated with a lower likelihood of depression (AOR = 0.92, 95% CI = 0.86-0.98); this conditional effect was not prevalent among those who were solely engaged in nonpolitical groups (AOR = 1.02, 95% CI = 0.99-1.03).

Discussion and implications: Political group participation is associated with poor mental health among older adults living in politically competitive regions.

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居住地区特征和政治团体参与对中老年人抑郁症的影响:一项为期 11 年的纵向研究结果。
背景和目的:参加政治团体与老年人心理健康状况不佳有关的说法可能受到地理条件的限制。本研究探讨了政治团体参与可能与抑郁症相关的地理环境:采用随机效应面板 logit 模型分析了台湾老龄化纵向研究的 11 年随访数据,涵盖 5334 名年龄≥50 岁的老年人。抑郁采用流行病学研究中心抑郁量表的 10 个项目进行评估。参与者被要求指出他们是否属于不同的社会群体。我们将抑郁作为政治团体参与(自变量)和地理区域(调节变量)的函数进行建模,并对个人层面的特征进行了调整:结果:与非政治团体的受访者相比,政治团体的受访者更有可能报告抑郁症(调整赔率 [AOR] = 1.90,95% 置信区间 [CI] = 1.34-2.68)。在城市和农村居住区之间,参与政治团体的老年人在心理健康结果方面没有显著的统计学差异(AOR = 1.72,95% CI = 0.81-3.67)。对于那些仍然参与政治活动的人来说,居住在选举竞争程度较低的地区与较低的抑郁可能性相关(AOR = 0.92,95% CI = 0.86-0.98);这种条件效应在那些只参与非政治团体的人中并不普遍(AOR = 1.02,95% CI = 0.99-1.03):讨论与启示:对于生活在政治竞争激烈地区的老年人来说,参与政治团体与心理健康状况不佳有关。
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来源期刊
Innovation in Aging
Innovation in Aging GERIATRICS & GERONTOLOGY-
CiteScore
4.10
自引率
0.00%
发文量
72
审稿时长
15 weeks
期刊介绍: Innovation in Aging, an interdisciplinary Open Access journal of the Gerontological Society of America (GSA), is dedicated to publishing innovative, conceptually robust, and methodologically rigorous research focused on aging and the life course. The journal aims to present studies with the potential to significantly enhance the health, functionality, and overall well-being of older adults by translating scientific insights into practical applications. Research published in the journal spans a variety of settings, including community, clinical, and laboratory contexts, with a clear emphasis on issues that are directly pertinent to aging and the dynamics of life over time. The content of the journal mirrors the diverse research interests of GSA members and encompasses a range of study types. These include the validation of new conceptual or theoretical models, assessments of factors impacting the health and well-being of older adults, evaluations of interventions and policies, the implementation of groundbreaking research methodologies, interdisciplinary research that adapts concepts and methods from other fields to aging studies, and the use of modeling and simulations to understand factors and processes influencing aging outcomes. The journal welcomes contributions from scholars across various disciplines, such as technology, engineering, architecture, economics, business, law, political science, public policy, education, public health, social and psychological sciences, biomedical and health sciences, and the humanities and arts, reflecting a holistic approach to advancing knowledge in gerontology.
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