State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Department of Management, London School of Economics and Political Science, London, United Kingdom.
J Med Internet Res. 2024 Nov 27;26:e59684. doi: 10.2196/59684.
The widespread adoption of information and communication technologies (ICTs) further deepens disparities in resource access, particularly among the aging population. However, the relationship between these factors and their resulting impact on cognitive abilities remains uncertain.
This study aims to investigate the potential impact of the digital divide on individuals' cognitive function and its association with the development and reversion of mild cognitive impairment (MCI).
This cohort study used data from Beijing Aging Brain Rejuvenation (BABRI) study applying a multistage cluster sampling design between 2008 and 2020. The digital divide was quantified by the frequency of using ICTs. Analysis of covariance (ANCOVA), mixed linear models, and Cox proportional hazards models were used to model the association of digital divide and multidomain cognition.
Among the 10098 participants, nearly half (n=4941, 48.9%) faced the digital divide, which was associated with a worse performance in processing speed (F=10.67; P<.001; effect size r=0.42), rather than memory, executive function, and language. The model indicated that individuals' physical and mental health, combined with their educational and occupational prestige, influenced the resources they attained, which ultimately caused the digital divide. Moreover, longitudinal data revealed that older adults who successfully crossed the digital divide during the tracking process and those who had already done so prior to tracking showed significantly slower rates of decline in processing speed (B=-1.98, P<.05; B=-2.62, P<.01) and general cognitive function (B=3.50, P<.001; B=3.13, P<.01). Additionally, overcoming the digital divide was also associated with a lower risk of developing MCI (hazard ratio [HR] 0.5, 95% CI 0.34-0.74; HR 0.43, 95% CI 0.29-0.62) and a greater probability of reversion from MCI to normal cognition (HR 6, 95% CI 3.77-9.56; HR 9.22, 95% CI 5.63-15.11).
Overcoming the digital divide was significantly associated with improved cognitive function, a slower aging rate in cognitive performance, a reduced risk of developing MCI, and a higher likelihood of reverting from MCI to normal cognition.
信息和通信技术(ICTs)的广泛采用进一步加深了资源获取方面的差距,尤其是在老龄化人口中。然而,这些因素之间的关系及其对认知能力的影响仍不确定。
本研究旨在探讨数字鸿沟对个体认知功能的潜在影响及其与轻度认知障碍(MCI)的发展和逆转的关系。
本队列研究使用了 2008 年至 2020 年期间采用多阶段聚类抽样设计的北京老龄化大脑复兴(BABRI)研究的数据。通过 ICT 使用频率来量化数字鸿沟。采用协方差分析(ANCOVA)、混合线性模型和 Cox 比例风险模型来模拟数字鸿沟与多领域认知之间的关系。
在 10098 名参与者中,近一半(n=4941,48.9%)面临数字鸿沟,这与处理速度表现较差有关(F=10.67;P<.001;效应量 r=0.42),而与记忆、执行功能和语言无关。模型表明,个体的身心健康,加上他们的教育和职业声望,影响了他们获得的资源,这最终导致了数字鸿沟。此外,纵向数据显示,在跟踪过程中成功跨越数字鸿沟的老年人,以及在此之前已经跨越数字鸿沟的老年人,其处理速度(B=-1.98,P<.05;B=-2.62,P<.01)和一般认知功能(B=3.50,P<.001;B=3.13,P<.01)的下降速度明显较慢。此外,克服数字鸿沟也与 MCI 发病风险降低(HR 0.5,95%CI 0.34-0.74;HR 0.43,95%CI 0.29-0.62)和 MCI 恢复正常认知的可能性增加(HR 6,95%CI 3.77-9.56;HR 9.22,95%CI 5.63-15.11)有关。
克服数字鸿沟与认知功能的改善显著相关,认知表现的衰老速度较慢,MCI 的发病风险降低,以及从 MCI 恢复正常认知的可能性增加。