Department of Health Management, School of Public Health, Fujian Medical University, Fuzhou, Fujian 350122, China.
Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, Hunan 410078, China.
J Environ Public Health. 2022 Aug 21;2022:2633297. doi: 10.1155/2022/2633297. eCollection 2022.
There are few studies estimating the loneliness of the Hakka elderly in China. This study aims to examine the loneliness status and related factors among the Hakka elderly in Fujian, China. The short-form UCLA Loneliness Scale (ULS-8) was used to assess the loneliness of the Hakka elderly. Factors associated with loneliness were classified as individual indicators, behavioral indicators, interpersonal indicators, and social indicators according to the health ecological model (HEM). Hierarchical linear regression models were established to identify the main factors that were most predictive of loneliness. A sample of 1,262 Hakka elderly people was included in this study. Females ( = 0.631, =0.012), those with ≥2 chronic diseases ( = 1.340, < 0.001), those who were currently living in rural areas ( = 4.863, < 0.001) or suburban areas ( = 2.027, < 0.001), those with parents both died ( = 0.886, =0.001), and those with the Urban Employees Basic Medical Insurance (UEBMI; = 0.852, =0.030) obtained a higher score of ULS-8. Those exercised regularly ( = -2.494, < 0.001), those had leisure activities ( = -1.937, < 0.001), those ate healthy ( = -1.270, < 0.001), and those with better self-rated financial status and higher education level received a lower score of ULS-8. There are differences in loneliness among different Hakka elderly population subgroups, and healthy behaviors and lifestyles may reduce the loneliness of the Hakka elderly. Relevant interventions should be implemented in a targeted manner, focusing on susceptible populations. This is most evident among those who were female, living in rural areas, with parents both died, with lower education, and with multiple chronic diseases.
在中国,很少有研究估计客家老年人的孤独感。本研究旨在调查中国福建客家老年人的孤独状况及其相关因素。采用 UCLA 孤独量表短式(UCLA Loneliness Scale,ULS-8)评估客家老年人的孤独感。根据健康生态学模型(Health Ecological Model,HEM),将与孤独感相关的因素分为个体指标、行为指标、人际指标和社会指标。建立层次线性回归模型,以确定对孤独感最具预测性的主要因素。本研究纳入了 1262 名客家老年人。女性( = 0.631,=0.012)、患有≥2 种慢性病( = 1.340,<0.001)、目前居住在农村( = 4.863,<0.001)或郊区( = 2.027,<0.001)、父母均去世( = 0.886,=0.001)、参加城镇职工基本医疗保险(Urban Employees Basic Medical Insurance,UEBMI; = 0.852,=0.030)的老年人,其 ULS-8 得分更高。定期锻炼( = -2.494,<0.001)、有休闲活动( = -1.937,<0.001)、饮食健康( = -1.270,<0.001)的老年人,以及自我报告财务状况较好和教育程度较高的老年人,其 ULS-8 得分较低。不同的客家老年人群体在孤独感方面存在差异,健康的行为和生活方式可能会降低客家老年人的孤独感。应针对易感人群有针对性地实施相关干预措施。这在女性、居住在农村地区、父母均去世、教育程度较低和患有多种慢性病的人群中最为明显。