Loneliness and sense of community are not two sides of the same coin: Identifying different determinants using the 2019 Nova Scotia Quality of Life data

IF 2 3区 心理学 Q2 PSYCHOLOGY, MULTIDISCIPLINARY
Taylor G. Hill, Megan MacGillivray
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Abstract

The purpose of this study was to explore the relative importance of lifestyle factors and living conditions when predicting loneliness and sense of community (SOC) in a representative sample of 12,871 participants from Nova Scotia collected in 2019. Using multiple regression and measures of relative importance based on the Lindeman, Merenda and Gold (lmg) method, we identified which variables are most important to predicting measures of loneliness and SOC. Twenty-two predictors accounted for 46% of the variance in SOC and the top 10 predictors accounted for 36% of the variance: satisfaction with quality of the natural environment in the neighborhood (ri = 0.09), life satisfaction (ri = 0.05), number of neighbors one can rely on (ri = 0.05), confidence in institutions (ri = 0.05), feeling better off due to government policy or programming (ri = 0.04), feeling safe walking in neighborhood after dark (ri = 0.03), mental health (ri = 0.02), number of friends one can rely on (ri = 0.02), volunteering (ri = 0.02), and perceptions of time adequacy (ri = 0.02). Only six of these variables were also the top predictors of loneliness. These results show that both community- and individual-level variables are substantial predictors of social well-being. The effect sizes differ between models, which suggests that there may be important predictors of loneliness that we have not accounted for. This study may inform community-level programming and policy that seeks to promote social well-being for individuals and their communities.

孤独和社区意识不是同一枚硬币的两面:使用2019年新斯科舍省生活质量数据确定不同的决定因素。
本研究的目的是在2019年收集的新斯科舍省12871名参与者的代表性样本中,探讨生活方式因素和生活条件在预测孤独和社区意识(SOC)时的相对重要性。采用基于Lindeman, Merenda和Gold (lmg)方法的多元回归和相对重要性测量,我们确定了哪些变量对预测孤独和SOC的测量最重要。22个预测因子占SOC方差的46%,前10个预测因子占方差的36%:满意的质量自然环境在附近(ri = 0.09),生活满意度(ri = 0.05),数量的邻居可以依赖(ri = 0.05),对机构的信心(ri = 0.05),感觉更好由于政府政策或编程(ri = 0.04),感觉安全在天黑后在社区(ri = 0.03),心理健康(ri = 0.02),朋友的数量可以依赖(ri = 0.02),志愿服务(ri = 0.02),感知时间充足(ri = 0.02)。这些变量中只有六个也是孤独的主要预测因素。这些结果表明,社区和个人水平的变量都是社会福祉的重要预测因素。模型之间的效应大小不同,这表明可能有一些重要的预测因素我们没有考虑到。这项研究可以为社区层面的规划和政策提供信息,旨在促进个人及其社区的社会福祉。
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
CiteScore
4.20
自引率
8.70%
发文量
195
期刊介绍: The Journal of Community Psychology is a peer-reviewed journal devoted to research, evaluation, assessment and intervention, and review articles that deal with human behavior in community settings. Articles of interest include descriptions and evaluations of service programs and projects, studies of youth, parenting, and family development, methodology and design for work in the community, the interaction of groups in the larger community, and criminals and corrections.
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