发展中国家老年人群的数字排斥与认知功能:从两项纵向队列研究中得出的启示。

IF 5.8 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES Journal of Medical Internet Research Pub Date : 2024-11-15 DOI:10.2196/56636
Sainan Duan, Dongxu Chen, Jinping Wang, Mohammed Sharooq Paramboor, Zhen Xia, Wanting Xu, Kun Han, Tao Zhu, Xiaoqin Jiang
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引用次数: 0

摘要

背景:认知障碍不仅会对健康造成不利影响,还会带来一系列社会经济挑战,并削弱从事日常活动的能力。在数字时代,了解数字排斥对认知功能的影响至关重要,尤其是在发展中国家:本研究旨在评估发展中国家老年人群中数字排斥与认知功能之间的关联:利用 2011-2020 年 CHARLS(中国健康与退休纵向研究)和 2012-2021 年 MHAS(墨西哥健康与老龄化研究)的数据,我们将数字排斥定义为自我报告的互联网缺失。认知功能通过 5 项测试进行评估:定向、即时口头回忆、延迟口头回忆、连续 7 秒和数字回忆。认知功能的评估分为两类:认知能力较差(分类变量,与整个队列人群相比,将认知能力分为较好或较差)和认知能力得分(连续变量,代表多个随访波次的原始认知能力得分)。在对潜在混杂因素(包括人口统计学、生活方式因素、慢性病史、基本日常生活活动(BADL)残疾、工具性日常生活活动(IADL)残疾和基本认知能力)进行调整后,采用逻辑回归分析和广义估计方程(GEE)分析来研究认知功能与数字排斥之间的关系:在排除了基线时可能存在认知障碍的参与者和在任何一年都没有进行完整认知评估的参与者(即在任何一次随访中都必须完成认知评估中的所有测试)后,CHARLS(11505 人,占 47.81%)和 MHAS(12560 人,占 52.19%)共纳入了 24065 名参与者。其中,96.78% 的 CHARLS 参与者(n=11135)和 70.02% 的 MHAS 参与者(n=8795)经历了数字排除。调整后的逻辑回归分析表明,在 CHARLS 和 MHAS 中,被数字排斥的人更有可能表现出更差的认知能力(几率比 [OR] 2.04,95% CI 1.42-2.99;P.05)。经完全调整后,两组之间的总体认知得分平均差异为 0.98(95% CI 0.70-1.28;P.05):很大一部分老年人,尤其是中国的老年人,仍然无法使用互联网。我们的研究考察了认知分数的纵向变化,并使用 Z 分数标准化方法进行了横截面比较。研究结果表明,数字排斥与发展中国家老年人认知能力下降的风险增加有关。促进互联网接入可能有助于降低这一风险,并改善这些人群的认知健康。
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Digital Exclusion and Cognitive Function in Elderly Populations in Developing Countries: Insights Derived From 2 Longitudinal Cohort Studies.

Background: Cognition disorders not only lead to adverse health consequences but also contribute to a range of socioeconomic challenges and diminished capacity for performing routine daily activities. In the digital era, understanding the impact of digital exclusion on cognitive function is crucial, especially in developing countries.

Objective: This study aimed to evaluate the association between digital exclusion and cognitive function among elderly populations in developing countries.

Methods: Using data from CHARLS (China Health and Retirement Longitudinal Study) from 2011 to 2020 and MHAS (Mexican Health & Aging Study) from 2012 to 2021, we defined digital exclusion as self-reported absence from the internet. Cognitive function was assessed through 5 tests: orientation, immediate verbal recall, delayed verbal recall, serial 7s, and figure recall. Cognitive function was assessed in 2 categories: worse cognition (a categorical variable that classifies cognition as either better or worse compared to the entire cohort population) and cognitive scores (a continuous variable representing raw cognitive scores across multiple follow-up waves). Logistic regression analyses and generalized estimating equation (GEE) analyses were used to examine the relationship between cognitive function and digital exclusion, adjusting for potential confounders, including demographics, lifestyle factors, history of chronic diseases, basic activities of daily living (BADL) disability, instrumental activities of daily living (IADL) disability, and basic cognitive abilities.

Results: After excluding participants with probable cognitive impairment at baseline and those who did not have a complete cognitive assessment in any given year (ie, all tests in the cognitive assessment must be completed in any follow-up wave), a total of 24,065 participants in CHARLS (n=11,505, 47.81%) and MHAS (n=12,560, 52.19%) were included. Of these, 96.78% (n=11,135) participants in CHARLS and 70.02% (n=8795) in MHAS experienced digital exclusion. Adjusted logistic regression analyses revealed that individuals with digital exclusion were more likely to exhibit worse cognitive performance in both CHARLS (odds ratio [OR] 2.04, 95% CI 1.42-2.99; P<.001) and MHAS (OR 1.40, 95% CI 1.26-1.55; P<.001). Gender and age did not significantly modify the relationship between digital exclusion and worse cognition (intervention P>.05). The fully adjusted mean differences in global cognitive scores between the 2 groups were 0.98 (95% CI 0.70-1.28; P<.001) in CHARLS and 0.50 (95% CI 0.40-0.59; P<.001) in MHAS.

Conclusions: A substantial proportion of older adults, particularly in China, remain excluded from internet access. Our study examined longitudinal changes in cognitive scores and performed cross-sectional comparisons using Z-score standardization. The findings suggest that digital exclusion is linked to an increased risk of cognitive decline among older adults in developing countries. Promoting internet access may help mitigate this risk and support better cognitive health in these populations.

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来源期刊
CiteScore
14.40
自引率
5.40%
发文量
654
审稿时长
1 months
期刊介绍: The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades. As a leader in the industry, the journal focuses on digital health, data science, health informatics, and emerging technologies for health, medicine, and biomedical research. It is recognized as a top publication in these disciplines, ranking in the first quartile (Q1) by Impact Factor. Notably, JMIR holds the prestigious position of being ranked #1 on Google Scholar within the "Medical Informatics" discipline.
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