Dataset for: Digital Device Usage and Psychological Well-Being in the Post-COVID-19 Era (N = 622)

This dataset contains anonymized survey responses from 622 participants examining digital device usage, online activity diversity, self-reported health effects, and psychological well-being across pre-COVID, during-COVID, and post-COVID periods. The study investigates associations between digital behavior patterns and psychological well-being using statistical methods including Spearman correlation, permutation testing, and K-means clustering. Variables include device usage frequency, online activity categories, health symptom indicators, and psychological well-being scores based on an adapted Ryff scale. The dataset is intended to support research in public health, digital behavior, and mental health in the post-pandemic context.本数据集包含622名参与者的匿名问卷应答数据，覆盖新冠疫情前、疫情期间及疫情后三个阶段，用于探究数字设备使用情况、线上活动多样性、自我报告的健康影响与心理福祉状态。本研究采用斯皮尔曼相关性分析（Spearman Correlation）、置换检验（Permutation Testing）以及K-means聚类（K-means Clustering）等统计方法，考察数字行为模式与心理福祉之间的关联。数据集涵盖的变量包括设备使用频率、线上活动类别、健康症状指标，以及基于改良版赖福福祉量表（Ryff Scale）计算得到的心理福祉得分。本数据集旨在为后疫情时代下的公共卫生、数字行为与心理健康领域的研究提供支撑。