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老年无薪照料者中与社会脱节相关的因素。

Factors related to social disconnectedness among older unpaid caregivers.

作者信息

Yoo-Jeong Moka, Singer Jonathan, Bergeron Caroline D, Southerland Jodi L, Chai Hye Won, Pickett Andrew C, Zhou Yuanjin, Vazquez Christian E, Bacsu Juanita-Dawne, Kwong Katherine, Jung Wonkyung, Washington Tiffany R, Ory Marcia G, Smith Matthew Lee

机构信息

School of Nursing, Bouvé College of Health Sciences, Northeastern University, Boston, MA, United States.

Department of Psychological Sciences Texas Tech University, Department of Pharmacology and Neuroscience, Texas Tech University Health Sciences Center, Lubbock, TX, United States.

出版信息

Front Public Health. 2025 Apr 29;13:1589103. doi: 10.3389/fpubh.2025.1589103. eCollection 2025.

Abstract

BACKGROUND

Older unpaid caregivers often face social isolation and loneliness, yet risk factors for social disconnection remain largely unexplored. As the demand for unpaid caregiving rises with an aging population, there is a need for targeted interventions to reduce social disconnectedness in this vulnerable group. This study aimed to identify determinants of social disconnectedness.

METHODS

Data came from a sample of 701 unpaid caregivers aged 60 + who completed an internet-based survey assessing sociodemographics, health status, financial strain, social environment, and social disconnectedness. Four sequential regression models were used to identify the unique contribution of these factors related to social disconnectedness.

RESULTS

The first model ( = 3.94,  < 0.001, a  = 0.030) showed that older age ( = -0.15,  < 0.001), self-identifying as being Black ( = -0.10,  = 0.008), and higher education ( = -0.11,  = 0.041) were associated with lower social disconnectedness. Adding health factors in the second model ( = 15.33,  < 0.001, a  = 0.170) revealed that, in addition to age and education, chronic conditions ( = 0.12,  = 0.001) and possible depression ( = 0.35,  < 0.001) were associated with social disconnectedness. Including financial strain in the third model ( = 15.52, 0.001, a  = 0.212) showed that household income ( = -0.10,  = 0.012) and financial stress ( = 0.18,  < 0.001) were additionally associated with social disconnectedness. The final model ( = 23.42,  < 0.001, a  = 0.366) that included social environmental factors showed that age ( = -0.07,  = 0.033), possible depression ( = 0.22,  < 0.001), financial stress ( = 0.16,  < 0.001), and levels of community belonging ( = -0.20-0.58,  < 0.001) were significantly related to the risk of disconnectedness.

CONCLUSION

Findings highlight possible intervention targets that have the potential to reduce social disconnectedness among older unpaid caregivers. Particularly, addressing depressive symptoms, reducing financial stress, and enhancing community belonging are essential components to mitigate social disconnectedness risk in this population.

摘要

背景

年长的非专业照料者常常面临社会隔离和孤独,然而社交脱节的风险因素在很大程度上仍未得到充分探索。随着人口老龄化,非专业照料需求不断增加,需要有针对性的干预措施来减少这一弱势群体的社交脱节现象。本研究旨在确定社交脱节的决定因素。

方法

数据来自701名年龄在60岁及以上的非专业照料者样本,他们完成了一项基于互联网的调查,评估社会人口统计学、健康状况、经济压力、社会环境和社交脱节情况。使用四个逐步回归模型来确定这些与社交脱节相关因素的独特贡献。

结果

第一个模型(F = 3.94,p < 0.001,调整后R² = 0.030)显示,年龄较大(β = -0.15,p < 0.001)、自我认定为黑人(β = -0.10,p = 0.008)和受教育程度较高(β = -0.11,p = 0.041)与较低的社交脱节相关。在第二个模型中加入健康因素(F = 15.33,p < 0.001,调整后R² = 0.170)后发现,除了年龄和教育程度外,慢性病(β = 0.12,p = 0.001)和可能的抑郁(β = 0.35,p < 0.001)与社交脱节相关。在第三个模型中纳入经济压力(F = 15.52,p < 0.001,调整后R² = 0.212)表明,家庭收入(β = -0.10,p = 0.012)和经济压力(β = 0.18,p < 0.001)也与社交脱节相关。包含社会环境因素的最终模型(F = 23.42,p < 0.001,调整后R² = 0.366)显示,年龄(β = -0.07,p = 0.033)、可能的抑郁(β = 0.22,p < 0.001)、经济压力(β = 0.16,p < 0.001)和社区归属感水平(β = -0.20至-0.58,p < 0.001)与脱节风险显著相关。

结论

研究结果突出了可能的干预目标,这些目标有可能减少年长非专业照料者的社交脱节现象。特别是,解决抑郁症状、减轻经济压力和增强社区归属感是降低这一人群社交脱节风险的重要组成部分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fc0/12069072/c73ffaa2d882/fpubh-13-1589103-g001.jpg

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