St Anthony's College, Department of Statistics, Shillong, Meghalaya, India.
Division of Psychobiology and Epidemiology, Department of Psychology, Stockholm University, Stockholm, Sweden.
BMC Geriatr. 2024 Feb 28;24(1):203. doi: 10.1186/s12877-024-04813-9.
Existing studies have used ADL and IADL separately as measures of dependency. However, dependency is a heterogeneous and complex issue, and the dependency of each older adult is a synergistic combination of several functional activities. In this study, we assess the pattern of multidimensional dependency of older adults based on ADL, IADL, visual impairment, difficulty in climbing a flight of stairs, pushing or pulling objects, depressive symptoms, cognitive impairment, marital status, and economic distress. It is important to classify the dependency status of older adults because this will be key to evaluating the needs for care, and plan services that effectively cater for the needs of the older adults. The classification into different latent classes means that older adults within each class have the same needs of dependency but different needs between the latent classes. Our objective is to identify patterns of multidimensional dependency in older adults.
Data from the Longitudinal Ageing Study in India (LASI) Wave-1, was used, the analytical sample consisted of 32,827 individuals of age 45 years and above. LCA was used to identify the multidimensional dependency class. LCA was conducted in R statistical package, using the poLCA package. The optimal number of classes was selected based on the comparison of model fit statistics. Independent variables were incorporated to explore the association between these variables and the latent class.
Based on nine indicator variables, three latent classes were identified: "Active Older adults", "Moderately independent" and "Psychological and physically impaired". The "Active older adults" profile is comprised of older adults who have a very low probability of needing help for any ADL, IADL and other activities. The "Moderately independent" class were characterized as those older adults who were visually impaired but less likely to need help for IADL activities. The "Psychological and physically impaired", the smallest of all classes, comprised of older adults with poor dependency status.
In this study, we found that the dependency status of older adults which is based on several domains of functional activity has been classified into three distinct classes. These three classes have distinct physical, psychological, economic, and socio-demographic characteristics in terms of activities in which help is required.
现有研究分别使用日常生活活动(ADL)和工具性日常生活活动(IADL)来衡量依赖程度。然而,依赖是一个异质且复杂的问题,每个老年人的依赖是几种功能活动的协同组合。在这项研究中,我们根据日常生活活动、工具性日常生活活动、视力障碍、爬楼梯困难、推拉物体、抑郁症状、认知障碍、婚姻状况和经济困境评估老年人的多维依赖模式。对老年人的依赖状况进行分类很重要,因为这将是评估护理需求和规划有效满足老年人需求的服务的关键。分类为不同的潜在类别意味着每个类别中的老年人具有相同的依赖需求,但潜在类别之间的需求不同。我们的目标是确定老年人的多维依赖模式。
使用印度纵向老龄化研究(LASI)第 1 波的数据,分析样本由 32827 名年龄在 45 岁及以上的个体组成。使用潜在类别分析(LCA)来确定多维依赖类别。LCA 在 R 统计软件包中进行,使用 poLCA 包。基于模型拟合统计数据的比较选择最佳类别数。将自变量纳入,以探索这些变量与潜在类别的关联。
基于九个指标变量,确定了三个潜在类别:“活跃老年人”、“中度独立”和“心理和身体受损”。“活跃老年人”的特征是老年人在日常生活活动、工具性日常生活活动和其他活动中几乎不需要帮助。“中度独立”类的特点是那些视力受损但不太可能需要帮助进行 IADL 活动的老年人。“心理和身体受损”是所有类别中最小的,包括依赖程度较差的老年人。
在这项研究中,我们发现基于功能活动的几个领域的老年人依赖状况已分为三个不同的类别。这些三个类别的老年人在需要帮助的活动方面具有不同的身体、心理、经济和社会人口学特征。