关键词: Healthy ageing Machine learning Multivariate regression trees Older adults

Mesh : Humans India Male Female Healthy Aging / physiology psychology Aged Middle Aged Longitudinal Studies Aging / physiology Mental Health Multivariate Analysis Socioeconomic Factors Aged, 80 and over Cognition / physiology Educational Status Health Status

来  源:   DOI:10.1007/s40520-024-02815-6   PDF(Pubmed)

Abstract:
BACKGROUND: Population ageing represents a significant global challenge, particularly pronounced in countries like India.
OBJECTIVE: This study aims to explore how factors such as socio-economic status, behaviour, and health influence healthy ageing across the Indian older population.
METHODS: In this study, we utilized the Longitudinal Ageing Study in India - wave 1 dataset for analysis purposes. Scores were generated for five dimensions of healthy aging, including physical, functional, mental, cognitive, and social aspects and these scores were treated as the target variables. Multivariate Regression Trees analysis was employed to identify the behavioural and socio-demographic factors associated with each dimension of healthy ageing.
RESULTS: Years of education emerge as crucial across all dimensions, positively impacting cognitive health and mitigating age-related decline in healthy ageing. Marital status, engagement in household activities, spiritual practices, and living arrangements impacts the scores of different aspects of healthy ageing. Gender disparities in healthy aging are noticeable in the 60-74 age group, with women generally having lower scores. Safety of the living environment is a crucial determinant of the mental health of the elderly across all age groups.These findings highlight the complex interplay of factors in healthy ageing outcomes.
CONCLUSIONS: Our study emphasizes the pivotal role of education in fostering healthy ageing in India. Factors such as environmental safety and social participation also influence well-being. Targeted interventions addressing education, gender equality, safety, and healthcare access are vital for enhancing the ageing experience and overall well-being of older adults.
摘要:
背景:人口老龄化是一项重大的全球挑战,在像印度这样的国家尤其明显。
目的:本研究旨在探讨社会经济地位等因素行为,和健康影响整个印度老年人口的健康老龄化。
方法:在本研究中,我们利用印度纵向老龄化研究-第一波数据集进行分析。为健康衰老的五个维度生成分数,包括身体,功能,心理,认知,和社会方面,这些分数被视为目标变量。多变量回归树分析用于确定与健康老龄化的每个维度相关的行为和社会人口统计学因素。
结果:多年的教育在各个方面都至关重要,积极影响认知健康和减轻健康老龄化与年龄相关的下降。婚姻状况,参与家庭活动,精神实践,生活安排会影响健康老龄化的不同方面的得分。在60-74岁年龄段,健康老龄化的性别差异很明显,女性通常得分较低。生活环境的安全性是所有年龄段老年人心理健康的关键决定因素。这些发现强调了健康老龄化结果中因素的复杂相互作用。
结论:我们的研究强调了教育在促进印度健康老龄化方面的关键作用。环境安全和社会参与等因素也会影响福祉。针对教育的针对性干预措施,性别平等,安全,和医疗保健服务对于增强老年人的老龄化体验和整体福祉至关重要。
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