黑人老年人孤独感探析

B. Ojembe, M. Kalu, C. Ezulike, Makanjuola Osuolale John, O. Oyinlola, Temitope A. Osifeso, P. Ekoh, A. Iwuagwu, L. Kapiriri
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引用次数: 2

摘要

背景:孤独感是一个影响老年人的公共和社会问题,但在不同种族中存在不同程度的孤独感。黑人老年人(BOA)更容易感到孤独,因为他们有独特的和累积的因素(例如,社会经济地位低,患有大量慢性病),这些因素使他们容易感到孤独。这篇综述旨在描述孤独研究活动的范围和性质,并确定全球文献中BOA中孤独的促成因素。方法/设计:从成立到2021年6月,我们将遵循Arksey和O'Malley(2005)框架的五个步骤来搜索多个数据库。MeSH术语和关键词,如“老年人”、“黑人”和“孤独”,将被用于几个数据库,包括CINHAL、Ageline、PsychINFO、Cochrane对照试验中央登记处、PubMed、Web of Science、社会科学摘要。多名评审员将独立筛选引文(标题/摘要和全文),并使用预定义的纳入和排除标准提取数据。使用Weiss框架的六个社会条款作为先验主题的“最佳匹配”框架综合将指导数据分析。讨论:这项审查将为围绕BOA中孤独感的促成因素以及与BOA有关的孤独感的最相关问题制定政策提供信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploration of Loneliness Among Black Older Adults
Background: Loneliness is a public and social issue affecting older adults, but in varying degrees across ethnic groups. Black older adults (BOAs) are more prone to loneliness because they have unique and accumulated factors (e.g., low socioeconomic status, high number of chronic conditions) that predispose them to loneliness. This review aims to describe the extent and the nature of research activities on loneliness and identify the contributory factors to loneliness among BOAs as presented in the global literature. Methods/Design: We will follow the five steps of Arksey and O’Malley’s (2005) framework to search multiple databases from inception till June 2021. MeSH terms and keywords, e.g., “older adults,” “blacks,” and “loneliness,” will be adopted for several databases, including CINHAL, Ageline, PsychINFO, Cochrane Central Registers of Control Trials, PubMed, Web of Science, Social Science Abstract. Multiple reviewers will independently screen citations (title/abstract and full text) and extract data using predefined inclusion and exclusion criteria. “Best fit” framework synthesis using the six social provisions of Weiss’ framework as a priori themes will guide the data analysis.  Discussion: This review will inform policy development around contributory factors for loneliness among BOAs and the most relevant issues on loneliness related to BOAs.
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