Nutakor Jonathan Aseye, Zhou Lulin, Larnyo Ebenezer, Addai-Dansoh Stephen, Cui Yupeng
School of Management, Jiangsu University, Zhenjiang, Jiangsu, China.
Center for Black Studies Research, University of California, Santa Barbara, CA, USA.
Sci Rep. 2024 Dec 28;14(1):31080. doi: 10.1038/s41598-024-82187-z.
Understanding the impact of digital health literacy and health information-seeking behavior on the self-perceived health and depression symptoms of older adults is crucial, particularly as the number of older internet users is increasing.
This study utilized data from the Health Information National Trends Survey to examine the relationship between these factors and the health outcomes of adults aged 50 and above.
The study found that digital health literacy has a positive but non-significant relationship with self-perceived health when other factors are considered. However, education level and body mass index consistently predicted self-perceived health. Moreover, higher digital health literacy was associated with a reduced likelihood of perceived depression symptoms, even after adjusting for demographic and health-related factors.
These findings highlight the importance of digital health literacy in the mental well-being of older adults and provide insights for shaping future health policies and interventions.
了解数字健康素养和健康信息寻求行为对老年人自我认知健康和抑郁症状的影响至关重要，尤其是随着老年互联网用户数量的不断增加。
本研究利用了《健康信息国家趋势调查》的数据，以检验这些因素与50岁及以上成年人健康结果之间的关系。
研究发现，在考虑其他因素时，数字健康素养与自我认知健康呈正相关，但不显著。然而，教育水平和体重指数始终能预测自我认知健康。此外，即使在调整了人口统计学和健康相关因素后，较高的数字健康素养与感知到的抑郁症状可能性降低相关。
这些发现凸显了数字健康素养在老年人心理健康中的重要性，并为制定未来的健康政策和干预措施提供了见解。
