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Disability and Its Influencing Factors among the Elderly in a County Guangxi Province China

机译:广西壮族自治县某县老年人残疾及其影响因素

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摘要

Objectives: This study aims to understand the disability status of the elderly residents of a County (Guangxi Province, China) and explore its influencing factors. Methods: Respondents consisted of 2300 elderly people aged 60 and above from three townships in the county we studied. The Activities of Daily Living (ADL) Scale was used to assess the disability of the elderly sample. Chi-square test was applied to compare the disability rate among the elderly with different demographic characteristics. The graph showed the disability rates of ADL, six items of Physical Activities of Daily Living (PADL) and eight items of Instrumental Activities of Daily Living (IADL) at different ages. Binary logistic regression was used to analyze the influencing factors of disability rate among the elderly. Results: The disability rates of ADL, PADL, and IADL in the elderly were 43.4%, 11.6%, and 42.4%, respectively. As with the increase in age, the disability rates of ADL, IADL, PADL, and their 14 items gradually increased (p < 0.05), with walking, using the telephone, and using public vehicles having higher disability rates than other items. The influencing factors of ADL disability were gender (OR = 0.579, 95%CI = 0.441–0.759), age (OR = 2.270, 95%CI = 1.867–2.759; OR = 4.719, 95%CI = 2.998–7.429; OR = 6.249, 95%CI = 3.667–10.648), educational level (OR = 2.844, 95%CI = 2.076–3.897; OR = 1.677, 95%CI = 1.246–2.230), and having metabolic syndrome (MetS) (OR = 1.298, 95%CI = 1.044–1.613). Compared with ADL, the influencing factor of PADL disability was gender, whereas that of IADL disability was whether someone had MetS. Conclusions: With age, the possibility of ADL, PADL, and IADL damage in the elderly is higher. Gender, age, educational level, the number of chronic diseases, and whether someone has MetS might be the influencing factors of disability. Interventions should be taken from a variety of sources specific to the content of each entry.
机译:目的:本研究旨在了解某县(中国广西)老年人口的残疾状况,并探讨其影响因素。方法:受访者来自我们所研究的三个乡镇的2300名60岁及以上的老年人。日常生活活动量表(ADL)用于评估老年人样本的残疾。卡方检验用于比较不同人口统计学特征的老年人的残疾率。该图显示了不同年龄段的ADL残疾率,六项日常生活活动(PADL)和八项日常生活活动(IADL)。采用二元逻辑回归分析分析老年人残障率的影响因素。结果:老年人的ADL,PADL和IADL残疾率分别为43.4%,11.6%和42.4%。随着年龄的增长,ADL,IADL,PADL及其14个项目的残障率随着步行,使用电话和使用比其他项目残障率更高的公共车辆而逐渐增加(p <0.05)。 ADL残疾的影响因素为性别(OR = 0.579,95%CI = 0.441–0.759),年龄(OR = 2.270,95%CI = 1.867–2.759; OR = 4.719,95%CI = 2.998–7.429; OR = 6.249,95%CI = 3.667–10.648),受教育程度(OR = 2.844,95%CI = 2.076–3.897; OR = 1.677,95%CI = 1.246–2.230),并患有代谢综合征(MetS)(OR = 1.298 ,95%CI = 1.044–1.613)。与ADL相比,PADL残疾的影响因素是性别,而IADL残疾的影响因素是某人是否患有MetS。结论:随着年龄的增长,老年人发生ADL,PADL和IADL损害的可能性更高。性别,年龄,学历,慢性病的数量以及某人是否患有Met可能是影响残疾的因素。干预措施应取材于每个条目内容的多种来源。

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