多维贫困与痴呆症风险有关吗?巴基斯坦老年人的案例

J. Trani, Yiqi Zhu, Soobin Park, Ganesh Babulal
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摘要

多维贫困与痴呆症有关。我们的目标是在巴基斯坦建立这种关联。 我们于 2002 年 3 月 30 日至 2022 年 8 月 22 日在巴基斯坦旁遮普省和信德省对 50 岁及以上的成年人进行了一项横断面研究。多维贫困测量由六个维度和 15 个指标组成。使用罗兰德通用痴呆评估量表(Rowland Universal Dementia Assessment Scale)对患有痴呆症和未患有痴呆症的成年人的贫困状况进行了比较,并对性别、年龄、婚姻状况和家庭规模进行了调整。我们使用多变量逻辑回归模型研究了痴呆症与贫困之间的关系。 我们发现,分别有 594 人(72.7%)、171 人(20.9%)和 52 人(6.4%)患有无痴呆症、轻度痴呆症和中重度痴呆症。女性痴呆症患者多于男性(11.4% 对 2.9%)。约 40.4% 的成人痴呆症患者在四个或更多维度上处于贫困状态,而非痴呆症患者仅为 8.9%,二者在多维度上的贫困率相差 348.6%。教育、健康、生活条件和心理健康是导致贫困的主要因素。在对性别、婚姻状况、年龄和家庭规模进行调整后,四个或更多维度的贫困与痴呆症密切相关(几率比 [OR],5.02;95%CI,2.07-12.16),老年妇女的几率更大(OR,2.02;95%CI,1.41-2.90)。 我们的研究结果表明,通过有针对性的结构性政策及早改善健康的社会决定因素,可以预防晚年痴呆症的发生。改善获得免费优质教育、医疗保健(包括精神保健)和基本生活水平以及就业的机会,应能降低痴呆症的集体风险。
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Is Multidimensional Poverty Associated to Dementia risk? The case of Older Adults in Pakistan
Multidimensional poverty is associated with dementia. We aimed at establishing this association in Pakistan. A cross sectional study was conducted in Punjab and Sindh, Pakistan, between March 30th, 2002, and August 22nd, 2022, among adults aged 50 and older. Multidimensional poverty measures were composed of six dimensions and 15 indicators. Poverty was compared between adults with and without dementia using the Rowland Universal Dementia Assessment Scale, adjusting for sex, age, marital status, and household size. Associations between dementia and poverty were investigated using multivariate logistic regression model. We found that 594 (72.7%), 171 (20.9%), and 52 (6.4%) had no, mild, and moderate to severe dementia, respectively. More women than men had dementia (11.4% vs 2.9%). Approximately 40.4% adults with dementia were found to be deprived in four or more dimensions compared to 8.9% without dementia and the difference of multidimensional poverty between them was 348.6%. Education, health, living conditions and psychological well-being were main contributors to poverty. Poverty in four or more dimensions was strongly associated with dementia (odds ratio [OR], 5.02; 95%CI, 2.07-12.16) after adjusting for sex, marital status, age, and household size, with greater odds for older women (OR, 2.02; 95%CI, 1.41-2.90). Our findings suggest that early improvement in social determinants of health through targeted structural policies may prevent dementia later in life. Improving access to free, quality education, healthcare including mental healthcare and basic living standard, and to employment should reduce the collective risk of dementia.
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