Yuan Junfeng, Luo Lin
School of Physical Education, Guizhou Normal University, Guiyang, China.
Key Laboratory of Brain Function and Brain Disease Prevention and Treatment of Guizhou Province, Guiyang, China.
Front Public Health. 2025 Sep 4;13:1618570. doi: 10.3389/fpubh.2025.1618570. eCollection 2025.
In the digital era, media have become critical conduits for information dissemination, exerting increasing influence on mental health. Traditional print media and digital interactive media differ significantly in how individuals access and process information, potentially influencing psychological well-being through distinct mechanisms. Health literacy-the integrated capacity to acquire, understand, and apply health information-has been recognized as a key mediator in the relationship between media use and mental health. However, the precise mechanisms and age-related variations of this mediating effect remain underexplored.
This study aims to investigate the differential pathways through which print media and digital interactive media influence depressive symptoms (measured by the Patient Health Questionnaire, PHQ) and anxiety symptoms (measured by the Generalized Anxiety Disorder scale, GAD), with a focus on the mediating role of health literacy and its heterogeneity across age groups.
Using data from the 2021 China Mental and Behavioral Survey, a total of 9,966 adults aged 19 and older were selected as the study sample. Key variables included: independent variables-frequency of print media and digital interactive media use; mediating variables-three dimensions of health literacy (healthcare, disease prevention, and health promotion); and dependent variables-scores on depression and anxiety symptoms. Descriptive statistics, Spearman correlation analysis, ANOVA, and bootstrap-based mediation tests (resampled 1,000 times) were conducted to systematically examine how different media types affect mental health through specific mechanisms.
Digital interactive media use was significantly positively correlated with all dimensions of health literacy ( = 0.242-0.297, < 0.01). It directly reduced levels of depression and anxiety (PHQ-9 effect size = -0.138; GAD-7 effect size = -0.145) and partially mediated this effect through the "disease prevention" dimension of health literacy ( = -0.021, 95% CI [-0.105, -0.025]). In contrast, print media use was positively associated with depression and anxiety scores ( = 0.025-0.039, < 0.05), and all three dimensions of health literacy-"healthcare," "disease prevention," and "health promotion"-exerted a suppressing effect on this relationship ( = 0.003-0.004). Moreover, these mechanisms varied significantly across age groups: among individuals aged 19-40 and 41-60, the "disease prevention" dimension served as the primary mediator; whereas in the 61 + age group, the "health promotion" dimension emerged as the dominant pathway.
Print and digital interactive media influence mental health through different mechanisms, which vary significantly across age groups. Based on these findings, a stratified intervention strategy-"digital prevention + print promotion"-is recommended: for younger populations, leveraging digital media to enhance disease prevention awareness is essential, while for older populations, an integrated media ecosystem should be developed to reduce cognitive load. This study proposes a media-type-centered framework for mental health intervention, and future research should employ longitudinal designs to establish causal inferences.
在数字时代,媒体已成为信息传播的关键渠道,对心理健康的影响日益增大。传统印刷媒体和数字互动媒体在个人获取和处理信息的方式上存在显著差异,可能通过不同机制影响心理健康。健康素养——获取、理解和应用健康信息的综合能力——已被视为媒体使用与心理健康之间关系的关键调节因素。然而,这种调节作用的确切机制以及与年龄相关的差异仍未得到充分探索。
本研究旨在探讨印刷媒体和数字互动媒体影响抑郁症状(通过患者健康问卷,PHQ测量)和焦虑症状(通过广泛性焦虑障碍量表,GAD测量)的不同途径,重点关注健康素养的调节作用及其在不同年龄组中的异质性。
使用2021年中国精神与行为调查的数据,共选取9966名19岁及以上的成年人作为研究样本。关键变量包括:自变量——印刷媒体和数字互动媒体的使用频率;中介变量——健康素养的三个维度(医疗保健、疾病预防和健康促进);因变量——抑郁和焦虑症状得分。进行描述性统计、Spearman相关性分析、方差分析和基于Bootstrap的中介检验(重采样1000次),以系统地研究不同媒体类型如何通过特定机制影响心理健康。
数字互动媒体的使用与健康素养的所有维度均呈显著正相关(r = 0.242 - 0.297,P < 0.01)。它直接降低了抑郁和焦虑水平(PHQ - 9效应量 = -0.138;GAD - 7效应量 = -0.145),并通过健康素养的“疾病预防”维度部分介导了这种效应(β = -0.021,95%CI[-0.105,-0.025])。相比之下,印刷媒体的使用与抑郁和焦虑得分呈正相关(r = 0.025 - 0.039,P < 0.05),健康素养的所有三个维度——“医疗保健”、“疾病预防”和“健康促进”——对这种关系均有抑制作用(β = 0.003 - 0.004)。此外,这些机制在不同年龄组中存在显著差异:在19 - 40岁和41 - 60岁的个体中,“疾病预防”维度是主要的中介因素;而在61岁及以上年龄组中,“健康促进”维度成为主要途径。
印刷媒体和数字互动媒体通过不同机制影响心理健康,且在不同年龄组中差异显著。基于这些发现,建议采用分层干预策略——“数字预防 + 印刷促进”:对于年轻人群,利用数字媒体提高疾病预防意识至关重要,而对于老年人群,应构建综合媒体生态系统以减轻认知负担。本研究提出了一个以媒体类型为中心的心理健康干预框架,未来研究应采用纵向设计来建立因果推断。