key: cord-0920736-rod2o8sl
authors: Li, Shengping; Wang, Lianlian; Wang, Wenling; Hou, Shengzhe; Xie, Changxiao; Zeng, Mao; Xian, Jinli; Cai, Zhengjie; Zhao, Yong
title: Comparison of sleep quality among puerperal women before and during the COVID-19 pandemic: a cross-sectional survey in Lanzhou, China
date: 2022-01-21
journal: Sleep Breath
DOI: 10.1007/s11325-021-02553-3
sha: e84e201225b965901385a4c4e0fbcd9eeb775df8
doc_id: 920736
cord_uid: rod2o8sl

PURPOSE: Few studies have yet examined sleep quality among puerperal women during the coronavirus disease 2019 (COVID-19) pandemic. This cross-sectional study aimed to compare the sleep quality of puerperal women before and during the COVID-19 pandemic in Lanzhou, China. The study exploreed the factors that affect sleep quality among puerperal women. METHODS: The study population comprised puerperal women who went to the obstetric department of the Gansu Provincial Maternity and Childcare Hospital on the 42nd day after childbirth. Sleep quality was measured using the Pittsburgh Sleep Quality Index (PSQI). Data were collected by doctors in the obstetric department before the COVID-19 pandemic (Oct.–Dec. 2019) and during the COVID-19 pandemic (Feb.–Apr. 2020) in China. Multiple linear regressions were used to examine the association between the sleep quality of puerperal women and COVID-19 and to identify factors that affect the total PSQI scores. RESULTS: In 2019, 546 puerperal women were assessed compared with 655 who were assessed in 2020. Compared with before COVID-19, the total PSQI scores of puerperal women improved during the COVID-19 pandemic. In addition, the influencing factors of sleep quality among puerperal women were the pandemic itself, age, conception method, and postpartum depression (PPD). CONCLUSIONS: In contrast with other studies, there was no evidence for worsening sleep quality of puerperal women during the COVID-19 pandemic in Lanzhou, China. Puerperal women who underwent assisted pregnancy or developed PPD were more likely to experience poor sleep quality.

The coronavirus disease 2019 (COVID-19) pandemic has become a serious global crisis, profoundly influencing daily life and posing a major public health challenge. A recent review that included 50 studies found that the prevalence rate of psychological morbidity was 44% due to the COVID-19 pandemic, with poor sleep quality accounting for the highest proportion, followed by stress, anxiety, and depression [1] .

Puerperal women are facing major life changes and challenges that involve drastic changes at the social, biological, and psychological levels [2] . Puerpera is a high-risk period for the development of mood disorders [3] . Puerperal women frequently experience difficulty in obtaining adequate sleep quality or quantity. Puerperal women normally have less sleep time and more time awake [4] , particularly in the first postpartum month [5] . Poor sleep quality during the puerperal period is associated with symptoms of depression [6] , anxiety [7] , and a decrease in daytime attentiveness [8] , affecting puerperal women, their babies, and their families [9] . By contrast, high-quality sleep is the basis for the physical recovery of puerperal women. It is also an important indicator of physical and mental health and quality of life.

Most previous studies have focused on the effects of COVID-19 on the mental health of medical healthcare workers and the general public; these effects include poor sleep quality, depression, anxiety, and psychological distress [10] . The COVID-19 pandemic may impair the sleep quality of pregnant women [11] . Two cross-sectional studies found that 88% of pregnant women suffered from poor sleep quality during the COVID-19 pandemic [12] , including difficulty falling sleep, short sleep duration, and ordinary or poor subjective sleep quality [13] .

Few studies have yet examined sleep quality among puerperal women during the COVID-19 pandemic. Sleep disorders are common among puerperal women. Thus, the current study aimed to (1) compare sleep quality among puerperal women before and during the COVID-19 pandemic and (2) identify the factors that affect sleep quality.

A cross-sectional survey was conducted among puerperal women who went to the Gansu Provincial Maternity and Childcare Hospital in Lanzhou, a city in Northwest China, on the 42nd day after childbirth. Data were collected from October to December in 2019 and February to April in 2020. Participants were puerperal women examined in the obstetrics department of the aforementioned hospital. Puerperal women who were 18-45 years old completed the questionnaire. A total of 1201 participants were included in the analysis. The first period of data collection was from October to December 2019. These participants belonged to the "before the COVID-19 pandemic" (T1) group. The second period of data collection was from February to April 2020. These participants belonged to the "during the COVID-19 pandemic" (T2) group. This study was approved by the Ethics Committee of the First Affiliated Hospital of Chongqing Medical University on October 22, 2018, and the approval number was 2018-131. All the participants provided informed consent.

Demographic, socioeconomic, and obstetric characteristics Data were collected by doctors in the obstetric clinic. Data regarding the participants' sociodemographic characteristics (e.g., age, educational level, residence, and per capital monthly family income), infant feeding pattern, delivery method, parity, and conception method were collected. Educational level was categorized into low (junior middle school or below), medium (senior high school, vocational, or technical secondary school), and high (university or college) [14] . Residence included urban or rural areas. Per capital monthly family income was grouped into low (< ¥4500), medium (¥4500-¥9000), and high (> ¥9000) [14] . 1 USD = ¥7.01 in February 2020. Infant feeding pattern included exclusive breastfeeding and others (i.e., bottle feeding or mixed feeding). Delivery method was either vaginal delivery or cesarean section. Parity included primipara and multipara. Conception method was either natural pregnancy or assisted pregnancy. The Edinburgh Postnatal Depression Scale (EPDS) was used to screen for postpartum depression (PPD) [15] , and an EPDS score of > 12 was defined as PPD [16] .

The Pittsburgh Sleep Quality Index (PSQI) scale (Chinese version), which was translated and validated by Liu [17] , was used to measure the sleep quality of puerperal women. PSQI is a self-rated questionnaire with 19 items designed to measure sleep quality and disturbance over the past month [18] . The PSQI are grouped into seven components: subjective sleep quality (C1), sleep latency (C2), sleep duration (C3), habitual sleep efficiency (C4), sleep disturbance (C5), use of sleeping medication (C6), and daytime dysfunction (C7). We added crying baby, changing soiled diapers, and feeding the baby to sleep disturbance (C5), yielding a score that ranges from 0 to 36. Proportionally generating 0-3 points for this part, 0 had a score of 0, 1-12 had a score of 1, 13-24 had a score of 2, and 25-36 had a score of 3. Each sleep component yields a score that ranges from 0 to 3, with 3 indicating the greatest dysfunction. The sleep component scores are summed to yield the total PSQI score, which ranges from 0 to 21. A higher total score (referred to as the global score) indicates worse sleep quality. Liu reported that a total PSQI score of > 7 exhibits good sensitivity and specificity when distinguishing between good and poor sleepers [17] .

Descriptive statistics were used for the sample characteristics. The categorical variables were described using frequency and percentage, while the continuous variables were described using mean and standard deviation. The comparison of the participants' sociodemographic and obstetric characteristics between T1 and T2 was achieved via a chisquare test except age, which was normally distributed, and used the t-test. We used the Shapiro-Wilk test to analyze the normality of the sleep quality score, including the scores in PSQI and the seven components, which were found to be normally distributed. The analysis of the comparison between sleep quality scores before and during the COVID-19 pandemic was achieved using an independent t-test. A multiple linear regression model was used to identify factors that affect the sleep quality of puerperal women. We adopted PSQI score as the dependent variable in the regression model. Meanwhile, survey time (T1 and T2), age, educational level, residence, per capital monthly family income, infant feeding pattern, delivery method, parity, conception method, and PPD were used as the independent variables in the regression model. All analyses were performed using STATA 16.1 (Stata Corporation, College Station). Statistical significance was considered when p < 0.05 (two-sided). 

The demographic, socioeconomic, and obstetric characteristics of the participants are provided in Table 1 . Among the 1201 participants, the mean age was 30.0 ± 3.6 years. The majority of the participants achieved high education (84%, n = 1015), lived in an urban area (93%, n = 1119), and got pregnant through natural conception (94%, n = 1124). Compared with that of the participants in T1 (n = 546), the average age of the participants in T2 (n = 655) was slightly higher (29.4 ± 3.5 versus 30.5 ± 3.7). Furthermore, the number of participants who chose exclusive breastfeeding decreased, and more participants gave birth through cesarean section. The comparison of the scores in PSQI and the seven components of sleep quality of puerperal women before and during the COVID-19 pandemic are presented in Table 2 . The total PSQI scores of T1 were statistically higher than that of T2 (7.9 ± 3.1 versus 7.3 ± 3.1). The mean scores of subjective sleep quality, sleep duration, habitual sleep efficiency, sleep disturbance, and daytime dysfunction before the COVID-19 pandemic were also statistically higher than those during the COVID-19 pandemic (1.3 ± 0.7 versus 1.2 ± 0.7, 1.2 ± 0.9 versus 1.1 ± 0.9, 1.8 ± 1.2 versus 1.6 ± 1.2, 1.2 ± 0.5 versus 1.1 ± 0.5, and 1.7 ± 1.0 versus 1.5 ± 0.9, respectively). All p values were < 0.05.

Four items reflected habitual sleep efficiency. Compared with those for the participants in T1, the times to sleep at night and wake up in the morning were later for the participants in T2 (22.5 ± 1.2 versus 23.0 ± 1.1 and 7.5 ± 1.0 versus 8.0 ± 1.1). The sleep time per night of the participants in T2 was longer, and their sleep efficiency was higher (6.2 ± 1.4 versus 6.4 ± 1.5 and 70% versus 72%). All p values were < 0.05. Eleven items reflected sleep disturbance. Compared with the puerperal women in T1, the puerperal women in T2 had significantly lower mean scores in crying baby, changing soiled diapers, and feeding the baby. Table 3 lists the factors that affect the total PSQI scores of puerperal women. We used the total PSQI score as the dependent variable in the regression model. Meanwhile, survey time (before the COVID-19 pandemic and during the COVID-19 pandemic), age, educational level, residence, per capital monthly family income, infant feeding pattern, delivery method, parity, conception method, and postpartum depression were adopted as the independent variables in the regression model. In accordance with the results of the multiple linear regressions, the factors included survey Table 2 Comparison of sleep quality of participants between before and during the COVID-19 pandemic (n = 1201) Independent t-test. *P < 0.05, **P < 0.01, ***P < 0.001 

This study primarily contributes to the limited literature on the comparison between the sleep quality of puerperal women before and during the COVID-19 pandemic. We found no evidence for worsening sleep quality of puerperal women during the COVID-19 pandemic in Lanzhou, China. The results of the multiple linear regressions showed that the sleep quality of puerperal women was affected by the COVID-19 pandemic itself, age, conception method, and postpartum depression.

In contrast with the studies conducted on the general public, health workers [19] , and pregnant women [13] , the puerperal women in the current study had better sleep quality during the COVID-19 pandemic than before the COVID-19 pandemic. This finding is worth exploring. First, during the home quarantine period, the time during which puerperal women lived together with family members increased significantly. Thus, they received more support from their family and their burden, such as changing soiled diapers and feeding the baby, was reduced. The support from their partners, families, and friends was associated with the increase in sleep duration [20] and the reduced anxiety [21] . Second, the Chinese government quickly implemented a policy of home Table 3 Multiple linear regressions to identify factors that affect the total PSQI scores (n = 1201) * P < 0.05, **P < 0.01, ***P < 0.001 quarantine and mobilized considerable resources to ensure that every family had sufficient food and medicines. This policy significantly reduced the risk of getting 2019-nCoV infection by going out to buy food or medicines. Moreover, people did not have to worry about food or medicine shortage during the home quarantine period. Lastly, working from home ensured a steady family income even during the COVID-19 pandemic, this may be associated with the remission of sleep disorders [22] .

In the present study, we found no evidence for worsening sleep quality of puerperal women during the COVID-19 pandemic in Lanzhou, China. The result was consistent with a study conducted in the UK [23] . Besides, a study in February 2020 of Hubei Province, which was considered to be the core of the outbreak of the COVID-19 pandemic [24] , showed that sleep quality was significantly improved in people aged between 25-39 years and > 60 years, and most people in Hubei Province developed a more positive attitude regarding their risk of infection and the chances of surviving the COVID-19 epidemic [25] . It may be explained as follows. There began to be a gradual return to work with increasing numbers of people recovering from infection, and the accuracy of official public information improved, likely reducing the fear of the unknown [26] , all of which gave the population some confidence.

Interestingly, the current study found that the sleeping and waking times of puerperal women became later during the COVID-19 pandemic compared with those before the COVID-19 pandemic. A study conducted in Italy also proved this result [27] . In addition, puerperal women had a longer sleep time per night and higher sleep efficiency. These results are consistent with those of a study conducted in the UK [23] . However, the proportion of good sleepers decreased, which is contrary to the results of our research. This difference can be explained by several possible reasons. First, different studies have used varying methods to evaluate the sleep quality of the study subjects, although the PSQI scale has been widely used. Second, we used a total PSQI score of > 7 to distinguish between good and poor sleepers [17] , which is inconsistent with other foreign studies that used a total PSQI score of > 5 [18] . Notably, delayed sleep time may have long-term unfavorable effects, particularly for puerperal women with a high risk of PPD [28, 29] .

Multiple linear regressions showed that age, conception method, and PPD affected the total PSQI scores of puerperal women in the current study. The participants' sleep quality was positively correlated with the age of the participants during the COVID-19 pandemic, and one study showed that older women are calmer and more relaxed than younger women [30] . Compared with natural pregnancy, puerperal women who underwent assisted pregnancy have worse sleep quality. Psychological distress, such as anxiety, stress, and guilt, during assisted reproductive therapy exerts a significant effect on sleep disorders [31, 32] . In accordance with a systematic review and a meta-analysis, the prevalence of PPD changed from 12 to 22% before and during the pandemic [33, 34] . In addition, an online survey in Belgium found that the prevalence of PPD was 23.6% [35] . This value is consistent with the results of our research (24%). The aforementioned studies also found that PPD was a risk factor for sleep quality during the COVID-19 pandemic.

Our study has several strengths. First, this work is the first to focus on the sleep quality of puerperal women in China during the COVID-19 pandemic. Second, this study collected the sleep quality of puerperal women before the COVID-19 pandemic, and compared it with the sleep quality of puerperal women during the COVID-19 pandemic. Nevertheless, this study also has several limitations that should be acknowledged. First, this work used cross-sectional survey data and did not permit a reliable inference of causality. Longitudinal studies are necessary to examine the causal role of COVID-19 in sleep quality among puerperal women. Second, this study only included sociodemographic and obstetric characteristics in analyzing the factors that affect the sleep quality of puerperal women during the COVID-19 pandemic. More relevant factors, such as exercise [36] and eating habit [37] , should be included in future studies. In addition, the measurement of sleep quality is self-reported using the PSQI scale. This evaluation index is subjective, and thus, an objective evaluation is lacking.

Puerperal women reported better sleep quality during the COVID-19 pandemic than before the pandemic in Lanzhou, China. However, puerperal women took longer to fall asleep at night, and risk of staying up late increased during the COVID-19 pandemic. In addition, puerperal women who underwent assisted pregnancy or developed PPD were more likely to experience poor sleep quality during the COVID-19 pandemic.

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We are grateful to the doctors of the obstetric department of the Gansu Provincial Maternity and Childcare Hospital for providing the data. The authors also wish to thank the study participants for their support in conducting this research.