Cross-sectional survey examines digital device impact on psychological well-being among young adults, indicating a need for wellness strategies.
The COVID-19 pandemic accelerated digital technology adoption worldwide, yet limited evidence links post-pandemic multi-purpose online behavior with health outcomes and psychological well-being (PWB) in a single, integrated analysis. This study examines how digital device usage, breadth of online activity and self-reported Health Complaints relate to PWB across pre-COVID, during-COVID, and post-2023 periods. A cross-sectional survey of 622 respondents (collected in two pooled recruitment waves: Wave 1, n=323 ; Wave 2, n=299 ) assessed device usage across three temporal periods, online purpose diversity, Health Complaints (12 indicators), and PWB (Ryff’s 18-item scale). Spearman correlations with permutation-based p -values and Benjamini–Hochberg FDR correction were used. Group comparisons employed permutation tests with Cohen’s d effect sizes and bootstrap 95% confidence intervals. K -means clustering ( k=3 ) identified behavioral segments. PWB was negatively associated with Health Complaints count ( ρ =-0.319 , pFDR<0.05 ). Broader online purpose use correlated with more health effects ( ρ =0.202 , pFDR<0.05 ). High online-purpose users (top quartile) reported significantly more Health Complaints than low users ( Δ =+1.55 , $$d=0.54$$ , pFDR<0.001 ). A partial Spearman correlation confirmed that this association persisted after controlling for total screen time ( ρ ₚₐᵣₜᵢₐₗ=0.154 , pₚₑᵣₘ<0.001 , 95% CI [0.07, 0.23]), though the effect size was modest. Retrospective group-level estimates were higher for the during-COVID period than the pre-COVID baseline, with a lower estimate in Wave 2; these reflect between-wave, not within-person, comparisons. Three behavioral clusters emerged: low-usage/minimal-effects ( n=142 ), high multi-device users ( n=291 ), and higher health-effects/lower-PWB users ( n=189 ). Among young, educated, urban adults, breadth of online activity was cross-sectionally associated with more self-reported adverse Health Complaints; both factors independently and collectively accounted for significant variance in PWB. These findings highlight the urgent need for digital wellness strategies that address activity diversity — not only total screen time — among young, educated, urban adults who represent the heaviest users of multi-purpose internet services in post-pandemic settings.
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Hossain et al. (2026) studied this question.
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