Influence of smartphone addiction and poor sleep quality on attention-deficit hyperactivity disorder symptoms in university students: a cross-sectional study.

COLLEGE students; CONFIDENCE intervals; CROSS-sectional method; RESEARCH methodology; SMARTPHONES; REGRESSION analysis; ATTENTION-deficit hyperactivity disorder; ACADEMIC achievement; DESCRIPTIVE statistics; ODDS ratio; COMPULSIVE behavior; SYMPTOMS

Objective: This study examined the relationship between attention-deficit hyperactivity disorder ((ADHD)) symptoms, smartphone addiction, and poor sleep quality in university students, and identified factors affecting ADHD symptoms. Participants: Data were collected from 197 students from March to June 2017. Methods: We adopted a descriptive cross-sectional study design. Results: ADHD symptoms were positively correlated with smartphone addiction (r =.424, p <.01) and poor sleep quality (r =.313, p <.01). The regression analysis showed that academic achievement (ß =.128, p =.038), smartphone addiction (ß =.327, p <.001), sleep disturbance (ß =.197, p =.003), and daytime dysfunction (ß =.269, p <.001) were identified as factors significantly influencing ADHD symptoms, accounting for 31.1% of their variance. Conclusions: Interventions for university students with ADHD symptoms should involve the evaluation of these four factors as a multifaceted approach to reducing ADHD symptoms. [ABSTRACT FROM AUTHOR]

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