Volume 21 Issue 9
Sep.  2023
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LIN Dongdong, WANG Feixue, LING Ruolan, HU Kailing, QIU Jianfei, NING Yumei. Study on the status of sleep duration and its influence factors among women aged 40-69 years in Zhejiang Province[J]. Chinese Journal of General Practice, 2023, 21(9): 1612-1616. doi: 10.16766/j.cnki.issn.1674-4152.003182
Citation: LIN Dongdong, WANG Feixue, LING Ruolan, HU Kailing, QIU Jianfei, NING Yumei. Study on the status of sleep duration and its influence factors among women aged 40-69 years in Zhejiang Province[J]. Chinese Journal of General Practice, 2023, 21(9): 1612-1616. doi: 10.16766/j.cnki.issn.1674-4152.003182

Study on the status of sleep duration and its influence factors among women aged 40-69 years in Zhejiang Province

doi: 10.16766/j.cnki.issn.1674-4152.003182
Funds:

 WKJ-ZJ-1921

  • Received Date: 2022-12-11
    Available Online: 2023-10-19
  •   Objective  To explore the current situation and influence factors of sleep duration of women aged 40-69 years in Zhejiang Province.  Methods  A multi-stage stratified cluster random sampling method was used to investigate the sleep duration of 6 717 women aged 40-69 years in Zhejiang Province. EpiData software was used to set the database of the research objects, and SPSS 20.0 software was used for statistical analysis of the data. Multiple linear regression model was used to analyses the factors of sleep duration.  Results  The average sleep time of women aged 40 to 69 in Zhejiang Province was (6.93±1.33) h, the median sleep time was 7 h, and the sleep time decreased with the increase of age (P < 0.001). The sleep time of menopausal women [(6.76±1.42) h] was significantly lower than that of premenopausal women [(7.12±1.19) h], the difference was statistically significant (P < 0.001), and the sleep time decreased with the increase of the grade of menopausal symptoms (Kupperman score grade, P < 0.001). Education level, household registration, and family monthly income were correlated with sleep time, and the differences were statistically significant (all P < 0.05). The sleep time of different tea drinkers was significantly different (P < 0.05). The average sleep time of depressed patients was significantly less than that of non-depressed patients, and the difference was statistically significant (P < 0.001). The results of multiple linear regression model showed that age, menopause, household registration and depression were the independent influencing factors of sleep time (all P < 0.05), and depression was the biggest influencing factor, followed by age, menopause and residence registration.  Conclusions  (1) The average sleep time of 40-69 year old women in Zhejiang Province is generally short; (2) Age, menopausal status, household registration and mental depression are independent factors affecting sleep time; (3) Among the independent influencing factors, mental state is an intervenable factor, and it is suggested to take corresponding measures to intervene in women ' s mental depression, so as to improve sleep and quality of life.

     

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