本科医学生的睡眠数字表型：潜在的班级和症状网络分析

Abstract Background Studies of student smartphone use usually treat screen time as one linear risk factor and dichotomise sleep quality, hiding how symptoms cluster and connect. Methods In a cross‐sectional survey, 354 undergraduate medical students in India reported sleep quality, sleepiness, sleep hygiene, stress, mood and digital habits. Latent classes were validated against examination percentage and excessive daytime sleepiness, neither of which was used for derivation. A regularised partial‐correlation network of 39 items located cross‐domain bridge symptoms, with stability and domain‐de