One hundred and eleven youth with mental ill-health underwent systematic clinical, laboratory and actigraphy monitoring to report associations between 24-h sleep–wake patterns and cardiometabolic risk factors. Multiple linear regression analyses, controlling for medication usage and class, age and sex, found significant associations between: later sleep onset and BMI; standard variation (SV) in the sleep offset with both insulin values and the updated homeostatic model assessment of insulin resistance (HOMA2-IR) values; and the SV of the sleep midpoint with both poorer fasting insulin, and HOMA2-IR values. Further longitudinal research is required to determine the causative relationships between 24-h sleep–wake cycle patterns, and cardiometabolic outcomes.

一百一十一名患有精神疾病的青年接受了系统的临床，实验室和书法检查，以报告24小时睡眠-唤醒方式与心脏代谢危险因素之间的关系。多重线性回归分析控制了药物的使用以及类别，年龄和性别，发现了以下因素之间的显着关联：以后的睡眠发作和BMI；睡眠偏移的标准差（SV）包括胰岛素值和最新的胰岛素抵抗稳态模型评估值（HOMA2-IR）；空腹胰岛素和HOMA2-IR值均较差的睡眠中点SV。需要进一步的纵向研究来确定24小时睡眠-觉醒周期模式与心脏代谢结果之间的因果关系。