Tao Jingrui, Dai Shimeng, Xu Qiongying, Zhang Yao, Chen Xuewei, Dong Chaoqun
School of Nursing, Wenzhou Medical University, Wenzhou, China.
J Adv Nurs. 2025 Jan 3. doi: 10.1111/jan.16722.
To examine the profiles of general well-being in older adults and their related sociodemographic characteristics and to explore the association of these profiles with 2-way social support and social networks.
This was a cross-sectional study.
In total, 411 older adults were recruited through convenience sampling from Zhejiang Province, southeast China. Each completed questionnaires on Sociodemographic Characteristics, General Well-being Schedule, Brief 2-Way Social Support Scale, and Lubben Social Network Scale. Latent profile analysis was used to categorise participants into distinct subgroups based on their general well-being. Chi-square and t-tests were used for univariate analysis, and binary logistic regression was used to identify influencing factors.
The latent profile analysis identified two distinct profiles of well-being in older adults: a low general well-being group and a high general well-being group. Binary logistic regression revealed that living arrangements, physical activity, number of chronic diseases, provision of instrumental support and friend networks significantly impact the general well-being of older adults.
Heterogeneity in general well-being levels exists among older adults, necessitating targeted intervention measures tailored to the different characteristics of each subgroup to enhance their support resources and well-being.
IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE: Community nurses should identify general well-being disparities among older adults and craft targeted strategies as educators, providers, counsellors and managers to boost and equalise this demographic's general well-being.
Distinct profiles of general well-being among older adults, coupled with the positive effects of friend networks and the provision of social support, highlight the importance of mutual social support and networks in promoting healthy ageing. This may encourage community nurses to develop specific initiatives and programmes aimed at enhancing social engagement among older adults.
The study followed the STROBE guidelines for cross-sectional studies.
No patient or public contribution.
研究老年人的总体幸福感概况及其相关的社会人口学特征，并探讨这些概况与双向社会支持及社会网络的关联。
这是一项横断面研究。
通过便利抽样从中国东南部浙江省招募了411名老年人。每位参与者都完成了关于社会人口学特征、总体幸福感量表、简短双向社会支持量表和鲁本社会网络量表的问卷调查。潜在类别分析用于根据老年人的总体幸福感将参与者分为不同的亚组。卡方检验和t检验用于单因素分析，二元逻辑回归用于确定影响因素。
潜在类别分析确定了老年人幸福感的两种不同概况：低总体幸福感组和高总体幸福感组。二元逻辑回归显示，生活安排、体育活动、慢性病数量、工具性支持的提供以及朋友网络显著影响老年人的总体幸福感。
老年人的总体幸福感水平存在异质性，需要针对每个亚组的不同特征采取有针对性的干预措施，以增加他们的支持资源并提高幸福感。
对专业和/或患者护理的启示：社区护士应识别老年人之间的总体幸福感差异，并作为教育者、提供者、顾问和管理者制定有针对性的策略，以提高和平衡这一人群的总体幸福感。
老年人不同的总体幸福感概况，加上朋友网络和社会支持提供的积极影响，凸显了相互社会支持和网络在促进健康老龄化方面的重要性。这可能会鼓励社区护士制定旨在增强老年人社会参与度的具体举措和计划。
该研究遵循横断面研究的STROBE指南。
无患者或公众贡献。
