Yang Y, Deng H, Li T, Xia M, Liu C, Bu XQ, Li H, Fu LJ, Zhong ZH. The mental health of Chinese women with polycystic ovary syndrome is related to sleep disorders, not disease status.
J Affect Disord 2021;
282:51-57. [PMID:
33388474 DOI:
10.1016/j.jad.2020.12.084]
[Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Revised: 10/27/2020] [Accepted: 12/22/2020] [Indexed: 12/23/2022]
Abstract
BACKGROUND
Mental health disorders are highly prevalent in polycystic ovary syndrome (PCOS) cases. The etiology for anxiety/depression in women with PCOS still remains unclear, due to conflicting results.
AIM
To examine whether an association exists between the mental health of Chinese women with PCOS and various indicators such as their disease characteristics, biochemistry results and sleep status.
METHODS
During July 2018 and January 2020, our study included a total of 433 women diagnosed with PCOS at Chongqing Hospital of Traditional Chinese Medicine. Sleep-related variables were evaluated by the Pittsburgh Sleep Quality Index (PSQI), anxiety and depression values were quantified by the Hospital Anxiety and Depression Scale (HADS), and biochemistry results were collected from the medical records of the patients.
RESULTS
26.6% patients resulted as positive anxiety and 23.6% as positive depression. We found significant associations between anxiety/depression status and sleep conditions of PCOS patients. More specifically, anxiety significantly associated with sleep quality OR (95%CI) = 1.611 (1.147-2.261), sleep disturbance 2.326 (1.468-3.685) and daytime dysfunction 1.457 (1.122-1.891). Similarly, depression significantly associated with sleep quality 1.467 (1.043-2.063), sleep disturbance 1.624 (1.030-2.561) and daytime dysfunction 1.406 (1.077-1.836). There was no association detected between mental health and disease characteristics, as well as reproductive and metabolic indicators in PCOS.
LIMITATION
Cross-sectional nature of the data prevents causal associations, selection bias of a hospital-based population.
CONCLUSIONS
Sleep-related disorders might be involved in the etiology and development of the anxiety/depression observed in PCOS cases. We propose that management of sleep disorders should be an integral part of the disease management of women with PCOS.
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