Health Services Research Group, IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.
Pompeu Fabra University (UPF), Barcelona, Spain.
Int J Methods Psychiatr Res. 2019 Jun;28(2):e1750. doi: 10.1002/mpr.1750. Epub 2018 Nov 6.
The objective of this study is to assess the contribution of mental comorbidity to role impairment among college students.
Web-based self-report surveys from 14,348 first-year college students (Response Rate [RR] = 45.5%): 19 universities, eight countries of the World Mental Health International College Student Initiative. We assessed impairment (Sheehan Disability Scales and number of days out of role [DOR] in the past 30 days) and seven 12-month DSM-IV disorders. We defined six multivariate mental disorder classes using latent class analysis (LCA). We simulated population attributable risk proportions (PARPs) of impairment.
Highest prevalence of role impairment was highest among the 1.9% of students in the LCA class with very high comorbidity and bipolar disorder (C1): 78.3% of them had severe role impairment (vs. 20.8%, total sample). Impairment was lower in two other comorbid classes (C2 and C3) and successively lower in the rest. A similar monotonic pattern was found for DOR. Both LCA classes and some mental disorders (major depression and panic, in particular) were significant predictors of role impairment. PARP analyses suggest that eliminating all mental disorders might reduce severe role impairment by 64.6% and DOR by 44.3%.
Comorbid mental disorders account for a substantial part of role impairment in college students.
本研究旨在评估精神共病对大学生角色障碍的影响。
本研究采用网络自报告调查的方式,对来自 14348 名大一学生(响应率[RR]=45.5%)进行了调查,涉及 19 所大学和世界心理健康国际大学生倡议的 8 个国家。我们评估了损伤(Sheehan 残疾量表和过去 30 天角色缺失天数[DOR])和 7 种 12 个月 DSM-IV 障碍。我们使用潜在类别分析(LCA)定义了 6 种多变量精神障碍类别。我们模拟了损伤的人群归因风险比例(PARP)。
在 LCA 类别的高共病和双相障碍学生中(C1),角色损伤的最高患病率最高(1.9%):78.3%的学生存在严重角色损伤(总样本为 20.8%)。在其他两种共病类别(C2 和 C3)中,损伤程度较低,依次降低。DOR 也存在类似的单调模式。LCA 类别和一些精神障碍(特别是重度抑郁症和惊恐障碍)是角色损伤的显著预测因子。PARP 分析表明,消除所有精神障碍可能会使严重角色损伤减少 64.6%,DOR 减少 44.3%。
精神共病障碍在大学生角色障碍中占相当大的比例。