Associations of chronotype with anxiety, depression and insomnia among general adult population: A cross-sectional study in Hubei, China

Abstract

BackgroundThe relationship between chronotype and anxiety, depression, and insomnia was inconsistent. We aimed to assess the association between chronotype and mental health and the potential moderating effect of age and socioeconomic status (SES). MethodsA multi-stage sampling cross-sectional study with 12,544 adults was conducted. Chronotype, anxiety, depression, and insomnia were investigated by 5-item Morning and Evening, 7-item Generalized Anxiety Disorder, 9-item Patient Health, and the 7-item Insomnia Severity Index Questionnaires. Logistic regression was conducted. ResultsThe predominant chronotype was morning chronotype (69.2 %), followed by 27.6 % intermediate and 3.2 % evening chronotype. The prevalence of anxiety, depression, and insomnia was 0.7 %, 1.9 %, and 9.6 %, respectively. Compared with intermediate chronotype, morning chronotype participants had a lower risk of anxiety (OR = 0.28,95%CI:0.18–0.44), depression (OR = 0.54,95%CI:0.41–0.72) and insomnia (OR = 0.67,95%CI:0.58–0.77), while evening chronotype participants had a higher risk of depression (OR = 1.98,95%CI:1.06–3.71) but not anxiety or insomnia. Interactions between chronotype with age and SES on insomnia (Pinteraction < 0.05) were found. A more profound association between morning chronotype and insomnia was observed in <65 years participants (OR = 0.59,95%CI:0.50–0.71) and those with monthly household income ≥10,000yuan (OR = 0.21,95%CI:0.12–0.35), compared with their counterparts. LimitationsThe cross-sectional design limited causal conclusions. Only adults were included; the findings could not be generalized to children. ConclusionsThe morning chronotype might be protective for anxiety, depression, and insomnia, while the evening chronotype might be a risk factor for depression. Future studies are needed to assess the efficacy of chronotype-focused intervention for mental health. Insomnia prevention efforts should pay more attention to the elderly and those with lower incomes.