Guo Wenxin, Meng Lina, Han Junzhe, Yang Bin, Sun Jiayu, Guo Yuting, Wu Jiawei, Liu Yang
Department of Nursing, Daqing Campus, Harbin Medical University, 39 Xinyang Road, Daqing, 163319, China.
Sartu District Dongfeng Street Community Health Service Center, Building 2-54, Xincun District 2, Daqing, Sartu District, 163001, China.
BMC Geriatr. 2024 Dec 19;24(1):1008. doi: 10.1186/s12877-024-05583-0.
This study aimed to examine Intrinsic Capacity (IC) subgroups and the association of IC subgroups with IC predictors in Chinese urban empty nesters.
A convenient sample of 385 older adults aged 60 and above in Community Health Service Center was recruited from Hei Longjiang Province, China, between June 2023 and December 2023. Latent class Analysis (LCA) was conducted to explore IC subgroups using the sensory, cognition, locomotion, psychological, and vitality domains of IC as input variables. Multinomial logistic regression was performed to explore the association between latent subgroups and the IC predictors.
We identified three IC subgroups: "Low IC level-Low locomotion domain"(33.5%), "Medium IC level-Low sensory domain" (16.9%) and "High IC level" (49.6%). Being young, married, without multimorbidity, receiving visits from children ≥ 1 time per week, a low score of self-neglect, a high score of social networking, and a low score of loneliness were closely correlated to the "High IC level" subgroup of empty-nest older adults in communities.
The potential subgroups of the IC of empty-nest older adults in communities can be identified through five IC domains. The older empty-nesters should pay extra attention to their critical IC predictors. Community medical staff and other workers should provide intervention measures for different subgroups of older adults to improve their IC in an effective and individualized manner.
本研究旨在探讨中国城市空巢老人的内在能力（IC）亚组以及IC亚组与IC预测因素之间的关联。
2023年6月至2023年12月期间，从中国黑龙江省社区卫生服务中心抽取了385名60岁及以上的老年人作为便利样本。以IC的感觉、认知、运动、心理和活力领域作为输入变量，进行潜在类别分析（LCA）以探索IC亚组。进行多项逻辑回归以探索潜在亚组与IC预测因素之间的关联。
我们识别出三个IC亚组：“低IC水平-低运动领域”（33.5%）、“中等IC水平-低感觉领域”（16.9%）和“高IC水平”（49.6%）。年轻、已婚、无多种疾病、每周接受子女探访≥1次、自我忽视得分低、社交网络得分高以及孤独得分低与社区中空巢老年人的“高IC水平”亚组密切相关。
可通过五个IC领域识别社区中空巢老年人IC的潜在亚组。老年空巢老人应格外关注其关键的IC预测因素。社区医务人员和其他工作者应针对不同亚组的老年人提供干预措施，以有效且个性化地提高他们的IC。
