Mediation analysis of SAS-SV and PSQI.

ObjectivesThis study investigated the relationship between smartphone addiction and sleep quality among college students, focusing on the parallel mediating roles of perceived stress and health-promoting lifestyle.MethodsA cross-sectional survey was conducted in March 2025 among 2,317 students from Xuzhou Medical University using an online questionnaire. Data were collected via questionnaires and analyzed using SPSS 21.0. The study used the Smartphone Addiction Scale-Short Version (SAS-SV), the Pittsburgh Sleep Quality Index (PSQI), the Health-Promoting Lifestyle Profile (HPLP-II), and Perceived Stress Scale (PSS). Statistical methods included normality tests, descriptive statistics, and mediation analysis.ResultsA prevalence rate of 51.9% for sleep disorders was identified among the university student population. A statistically significant positive correlation was observed between smartphone addiction and poor sleep quality (r = 0.259, p p p ConclusionsSmartphone addiction negatively affects sleep quality, both directly and indirectly through increased perceived stress and reduced engagement in a health-promoting lifestyle. Interventions targeting stress management and healthy behaviors are recommended to mitigate these effects.

研究目的 本研究旨在探讨大学生智能手机成瘾与睡眠质量之间的关联，重点关注感知压力与健康促进生活方式的平行中介作用。
研究方法 本研究于2025年3月采用横断面调查设计，通过在线问卷对徐州医科大学的2317名学生进行调研。数据通过问卷采集，并使用SPSS 21.0统计软件开展分析。本研究采用智能手机成瘾量表简版（Smartphone Addiction Scale-Short Version, SAS-SV）、匹兹堡睡眠质量指数（Pittsburgh Sleep Quality Index, PSQI）、健康促进生活方式量表Ⅱ（Health-Promoting Lifestyle Profile, HPLP-II）以及感知压力量表（Perceived Stress Scale, PSS）。统计分析方法涵盖正态性检验、描述性统计及中介效应分析。
研究结果 本研究发现，该大学生群体的睡眠障碍检出率为51.9%。智能手机成瘾与睡眠质量不佳呈显著正相关（r=0.259，p<0.001）。
研究结论 智能手机成瘾可通过增加感知压力、降低健康促进生活方式参与度两条路径，直接或间接损害睡眠质量。据此，建议开展针对压力管理与健康行为的干预措施，以缓解上述负面影响。