Sleep quality and associated factors among pregnant women attending antenatal care at Jimma Medical Center, Jimma, Southwest Ethiopia, 2020: cross-sectional study

Determinants of sleep quality among pregnant women in a selected institution in the Southern province, Sri Lanka

BACKGROUND

Sleep is a vital requirement during pregnancy for the betterment of the fetus and the mother. Sleep quality could vary due to pregnancy-specific psychological and physiological changes. To introduce a tailored programme to enhance the sleep quality of mothers, it is paramount to assess the sleep quality and determinants of sleep. Therefore, this study aimed to assess the determinants of sleep quality among pregnant women in a selected institution in the Southern province of Sri Lanka.

METHODS

Hospital-based cross-sectional study was carried out with 245 antenatal women, selected using a systematic random sampling method. A pretested self-administered questionnaire was used to collect data which contains four parts. Below variables were involved and both continuous and categorical data were collected as required. 'Maternal sleep quality, socio-demographic data and gestational age, maternal depression and anxiety.' Data were analyzed using IBM SPSS version 25.0 for Windows by using descriptive statistics, Pearson's Chi-square test, and independent sample T-test (p < 0.05). Logistic regression analysis was used to find the relationship with sleep quality and other variables. P-value of less than 0.05 was considered statistically significant, at 95% CI.

RESULTS

The majority of women (60.8%) had good sleep quality and they didn't have either depressive symptoms (63.4%) or anxiety (64.2%). Aged between 34-41 years and third-trimester women had higher rates of poor sleep quality. Varying quality of sleep was identified among three-trimesters with subjective sleep quality, sleep latency, habitual sleep efficiency, and sleep disturbances. In comparison with the first and second trimester, pregnant women in the third trimester had higher score of global PSQI (5.22 ± 2.35), subjective sleep quality (1.23 ± 0.70), sleep latency (1.25 ± 0.86), habitual sleep efficiency (0.14 ± 0.43), and sleep disturbances (1.39 ± 0.58). There was a significant association between gestational age (P = .006), maternal age (P = .009), antenatal depression (P = .034), and anxiety (P = .013) with sleep quality. However, multinomial logistic regression revealed that only gestational age affected on quality of sleep. The first trimester was a protective factor for good quality sleep (Adjusted OR = 3.156) compared to the other two trimesters.

CONCLUSION

This study revealed that the majority of women had good sleep quality but quality of sleep was deprived with gestational age. It is expected that the findings of this research will be helpful for health and social care policymakers when formulating guidelines and interventions regarding improving the quality of sleep among pregnant women in Sri Lanka.

Sleep quality during pregnancy and fetal growth: A prospective cohort study

The aim of this study is to investigate the association between sleep quality during pregnancy and fetal growth. Pregnant women and their fetuses at 16-20 gestational weeks in Nantong Maternal and Child Health Hospital were recruited. Women were classified as having "good sleep quality" (Pittsburgh Sleep Quality Index score ≤ 5) and "poor sleep quality" (Pittsburgh Sleep Quality Index score > 5) according to the Pittsburgh Sleep Quality Index scores. The fetal growth was evaluated by three ultrasonographic examinations, birth weight and birth length. We used general linear model and multiple linear regression models to estimate the associations. A total of 386 pairs of mother and infant were included in the data analysis. After adjusting for gestational weight gain, anxiety and depression, fetuses in the good sleep quality group had greater abdominal circumference (p = 0.039 for 28-31+6 weeks gestation, p = 0.012 for 37-40+6 weeks gestation) and femur length (p = 0.014 for 28-31+6 weeks gestation, p = 0.041for 37-40+6 weeks gestation) at 28-31+6 weeks gestation and 37-40+6 weeks gestation, and increased femur length (p = 0.007) at 28-31+6 weeks gestation. Birth weights (p = 0.018) were positively associated with sleep quality. Poor sleep quality was associated with poor intrauterine physical development, decreased abdominal circumference and femur length, and lower birth weight after adjusting for confounding factors. Attention to the fetal growth of pregnant women with poor sleep quality has the potential to decrease the risk of adverse fetal outcomes.

Sleep pattern and disorders among pregnant women in Ibadan, Southwest Nigeria

BACKGROUND

Sleep is essential for pregnant women's and the offspring's health and wellbeing. Poor sleep and disorders have been linked with adverse fetal outcomes and delivery conditions. However, pregnant women often experience several forms of sleep disruption, which has been scarcely reported in low and middle-income countries (LMIC), including Nigeria where the influence of lifestyle factors has also been lacking. We investigated sleep patterns and disorders and the associated factors among pregnant women in Southwest, Nigeria.

METHOD

A cross-sectional study was conducted among five hundred (500) pregnant women attending Adeoyo Maternity Teaching Hospital. A semi-structured questionnaire was used to examine different domains of sleep and associated disorders, namely sleep quality (Pittsburgh Sleep Quality Index (> 5 and ≤ 5)), insomnia (Insomnia Severity Index (> 8 and ≤ 8)), restless leg syndrome (Restless Leg Syndrome Rating Scale (> 10 and ≤ 10). Significant covariates such as physical activity, minimum dietary diversity, smoking and alcohol intake were also assessed. We conducted bivariate and multivariate analysis at p < 0.05 significance level.

RESULTS

The mean age of participants was 30.4 ± 4.8 years. The pattern of sleep disorder in pregnant were poor sleep quality (50%), restless leg syndrome (58.2%) and insomnia (33.4%). Being currently married (AOR = 6.13; 95% CI: (1.65-22.23)), increasing gestational age: second trimester (AOR = 8.25;95% CI: (1.78-38.17)) to third trimester (AOR = 10.98; 95% CI: (2.44-49.48)) increased the odds of poor sleep quality. Factors associated with restless leg syndrome were marital status [AOR = 3.60; 95% CI; (1.25-10.35)], religion, rigorous physical activities [AOR = 1.52; 95% CI: (1.05-2.21)] and alcohol consumption [AOR = 3.51; 95% CI: (1.00-12.27)]. Factors associated with insomnia were maternal age [AOR = 1.83; 95% CI: (1.11-3.01)], income [AOR = 2.99 (1.26-7.16)] and rigorous physical activity [AOR = 2.55 (1.61-4.02)].

CONCLUSION

Poor sleep quality, restless leg syndrome and insomnia were typical among pregnant women in Ibadan, Southwest Nigeria. Thus, awareness and education on the importance of sleep and its risk and protective factors, such as alcohol consumption, smoking, rigorous activity and spousal and family support, should be increased to reduce poor sleep quality and sleep disorders (restless leg syndrome and insomnia) during the pregnancy period.

The effect of maternal sleep quality in late pregnancy on prenatal, birth and early postnatal outcomes

This cross-sectional study investigated the effect of maternal sleep quality in late pregnancy on prenatal, birth and early postnatal outcomes. The research was conducted in three parts with women at 28 or more weeks of gestation. In the first part, pregnant women admitted for delivery were evaluated in terms of eligibility criteria. Pregnant women in the latent phase of labour completed the Prenatal Questionnaire. In the second part, labour follow-up was performed. The researchers completed the Birth Follow-up Questionnaire based on observations and hospital birth records. In the third part, mothers were interviewed between the 12th and 24th hour of postnatal. Participants filled out the Postnatal Questionnaire, the Childbirth Experience Questionnaire, and the Pittsburgh Sleep Quality Index (n = 385). The data were analysed using the chi-square independence test, Fisher test, independent samples t-test, effect sizes, and binary logistic regression analysis. Participants had a mean maternal sleep quality score of 4.00 ± 1.38. They slept for 7.53 ± 0.92 hr on average. One-third of the participants were poor sleepers (32.2%). Employed participants were 71.6% less likely to have poor maternal sleep quality than their non-employed counterparts (odds ratio = 0.29, 95% confidence interval: 0.13-0.62; p = 0.002). The odds of poor maternal sleep quality increased by 13.7% when maternal weight gain during pregnancy increased by 1 kg (odds ratio = 1.14, 95% confidence interval: 1.03-1.26; p = 0.014). Increased maternal sleep quality positively affected the birth process (p < 0.05). Healthcare professionals should routinely screen the maternal sleep quality of pregnant women and increase their sleep hygiene.

Sleep Quality and Associated Factors among Pregnant Women Attending Antenatal Care Unit at the Referral Hospitals in Oromia National Regional State, Ethiopia, 2021: A Multicenter Cross-Sectional Study

INTRODUCTION

Poor sleep quality during pregnancy leads to adverse neonatal outcomes such as low birth weight, intrauterine growth retardation, preterm birth, and operative birth. Though it has many consequences, a limited study was conducted on the prevalence and associated factors of poor sleep quality among pregnant women in Ethiopia.

OBJECTIVE

This study is aimed to determine poor sleep quality and associated factors among pregnant women attending antenatal care units at the selected referral hospitals.

METHODS

Institution-based cross-sectional study was used from April 20 to June 10, 2021. A The data were collected through systematic random sampling. The Pittsburgh Sleep Quality Index (PSQI) was used to assess the outcome variable based on interview.

RESULTS

Out of 423, almost 414 participated in the study with a response rate of 97.9%. The prevalence of poor sleep quality was 54.6% (95% CI: 49.7%, 59%). Based on the trimester; about 44.8%, 36.8%, and 64.2% were observed poor sleep quality in the first, second, and third trimesters, respectively. Third trimester [AOR (Adjusted Odd Ratio) = 4.33; 95% CI (Confidence Interval) (1.43, 13.7)], primigravida [AOR = 4.03; 95% CI (2.59, 7.97)], para ≥2 [AOR = 1.95: 95% CI (1.09, 3.48)], depression [AOR = 4.59: 95% CI (2.31, 9.15)], and perceived stress [AOR = 1.15: 95% CI (1.1, 1.22)] were factors significantly associated.

CONCLUSION

One in every two pregnant women has poor sleep quality. Depression, perceived stress, gestational age, gravida, and parity were identified as associated factors with poor sleep quality. Therefore, healthcare providers should work on screening and counseling for sleep problems during prenatal checkups.

Maternal Sleeping Problems Before and After Childbirth - A Systematic Review

The perinatal and postpartum period is of great significance for women due to physiological changes, shifts in circadian rhythms, social setting, and psychological well-being, all of which affect the quality and quantity of their sleep. A mixed-studies systematic review was undertaken to enhance our understanding of sleep disturbances and mood disorders in women in late pregnancy and the postpartum period, their connection with breastfeeding, and the assessment of interventions for sleep disturbance. Three electronic databases (PUBMED, EMBASE and Google Scholar) were searched for qualitative, observational, and mixed-method studies from the year 2016 to June 2023. Twenty-nine articles were included in the analysis. The results were synthesized into four overarching themes: (і) the sleep quality of women in the perinatal period; (ii) the relationship between sleep and breastfeeding; (iii) the relationship between sleep quality and emotional disturbance in the perinatal period; (iv) sleep interventions in the researched group. The subjective nature of the perception of sleep disturbances, along with the absence of an objective measurement tool is clearly an inconvenience. It is advisable to include the assessment of maternal sleep hygiene and family sleep patterns during postpartum healthcare provider appointments to develop strategies not only for women's sleep quality but also for their mental well-being.

Pregnancy Concerns as Predictors of Sleep Quality in Primigravid Women: A Cross-Sectional Study

Introduction Poor sleep quality may be a risk factor for adverse pregnancy outcomes. Identifying the predictors of sleep disorders can help design effective interventions. The present study aimed to evaluate the impact of pregnancy concerns on the sleep quality of primigravid women. Methods This cross-sectional study was conducted on 220 primigravid women referred to health centers in Hamadan, Iran. In addition to completing the demographic characteristics questionnaire, the Parkinson's Disease Questionnaire (PDQ) questionnaire was completed to determine the level of pregnancy concerns, and the Pittsburgh Sleep Quality Index (PSQI) questionnaire was completed to determine the quality of sleep by pregnant women. Data were analyzed using descriptive statistics, the Pearson correlation coefficient, independent t-test, and univariate and multivariate logistic regression models with a backward method at a 95% confidence level. Results Pregnant women's total PSQI score was 13.8 ± 3.08, and with a PSQI ≥ 5 as a cut-off point, 76.3% of the study's participants had poor sleep quality. There was a significant direct correlation between the total score of PDQ and its subscales with the total PSQI score (P < 0.05). The adjusted regression logistic model showed a significant relationship between the PDQ scores, women's educational level (adjusted odds ratio (AOR) 1.19; confidence interval (CI) 95%: 0.19-2.18), and their spouse's educational level (AOR 1.03; CI 95%: 0.02-2.03) with sleep quality scores. Conclusion Pregnancy concerns, including concerns about birth and the baby, concerns about physical symptoms and body image, and concerns about emotions and relationships, can reduce the sleep quality of primigravid women. Designing and implementing effective interventions to reduce or modify these common concerns can improve the sleep quality of pregnant women and prevent the adverse effects of poor sleep quality on pregnancy outcomes.

Sleep disturbance and its associated factors among pregnant women in Ethiopia: systematic review and meta-analysis

INTRODUCTION

Globally, sleep disturbance is the foremost public health issue among pregnant women which might have undesirable birth outcome including neurocognitive impairment, preterm birth, low birth weight, and neonatal morbidity and mortality. In Ethiopia, inconsistent findings have been reported on the prevalence of sleep disturbance among pregnant women. Therefore, this review aims to estimate the pooled prevalence sleep disturbance and its associated factors among pregnant women in Ethiopia.

METHODS

This systematic review and meta-analysis of observational studies was designed according to the PRISMA guideline. A systematic search of literature was conducted in PubMed, Scopus, Web of science, and Google Scholar using relevant searching key terms. The Newcastle-Ottawa scale was used to evaluate the quality of all selected articles. Data were analyzed using STATA Version 14 software. Publication bias was checked using Egger's test and funnel plot. Cochran's chi-squared test and I2 values were used to assess heterogeneity. A fixed-effects model was applied during meta-analysis.

RESULTS

In this review, six studies were included after reviewing 17,100 articles. The pooled prevalence of sleep disturbance among pregnant women in Ethiopia was 50.43% (95%CI: 39.34-61.52). Third trimester pregnancy AOR = 4.03; 95% CI: 2.84,5.71), multigravidity (AOR = 1.99; 95% CI: 1.54, 2.59), unplanned pregnancy (AOR = 2.56; 95% CI: 1.52,4.31), depression (AOR = 3.57; 95% CI: 2.04, 6.27), stress (AOR = 2.77; 95% CI: 1.57, 4.88), anxiety (AOR = 3.69; 95% CI: 1.42, 9.59) and poor sleep hygiene (AOR = 2.49; 95% CI: 1.56, 3.99) and were statistically associated with sleep disturbance among pregnant women.

CONCLUSION

This review revealed that the magnitude of sleep disturbance among pregnant woman in Ethiopia was relatively high and multiple factors determined the likelihood of having a disturbed sleep-awake pattern. Thus, the implementation of interventions for sleep disturbance after screening pregnant women is needed. Moreover, public health interventions targeted on the prevention of unintended pregnancy and depression during pregnancy should be implemented.

Alcohol consumption and associated factors among pregnant women attending antenatal care at governmental hospitals in Harari regional state, Eastern, Ethiopia

BACKGROUND

Alcohol consumption during the pregnancy period is high despite the well-established evidence of its harmful effects on pregnancy and infant development. Early identification and behavioral modification are of great significance. This study aimed to assess the prevalence and associated factors of alcohol consumption among pregnant women attending antenatal care at governmental hospitals in the Harari regional state, Eastern Ethiopia.

METHOD

From April 1/2022-May 1/2022, an institutional-based cross-sectional survey was conducted among 589 pregnant women attending antenatal care governmental hospitals in Harari regional state. A systematic random sampling technique was used to select study participants during the study period. Data were collected through face-to-face interview methods using AUDIT-C. The collected data were coded, entered into Epi-data data version 3.1, and analyzed by SPSS Version 26. Binary logistic regression was carried out to identify independent predictors of alcohol consumption at a 95% confidence level.

RESULTS

From a total of 617 eligible participants, 589 participated in the study with a response rate of 95.46%. The overall prevalence of alcohol consumption among pregnant women in Harari regional state governmental hospitals was 21.2% (95% CI:17.8, 24.4). In multivariate analysis, single marital status (AOR = 5.18;95% CI (2.66,10.11), previous history of abortion(AOR = 4.07;95% CI(2.06,8.04), family history of mental illness (AOR = 4.79;95% CI (1.94,11.83), depression (AOR 2.79; 95%CI(1.35,5.76), and anxiety(AOR = 2.51; 95% CI (1.23, 5.12) were variables found to have a statistically significant association with alcohol consumption during pregnancy in Harari regional state governmental hospitals.

CONCLUSION

In comparison to the majority of other research, the prevalence of alcohol usage during pregnancy was high in this study. This study observed that single marital status, previous history of abortion, family history of mental illness, depression, and anxiety were highly associated with alcohol consumption during pregnancy. Hence, responsible bodies working on mother and child health should try to mitigate or remove the above-mentioned risks when developing interventions.

Poor sleep quality and suicidal ideation among pregnant women during COVID-19 in Ethiopia: systematic review and meta-analysis

Introduction

COVID-19 has profoundly impacted the mental health and well-being of pregnant women worldwide. In Ethiopia, the poor sleep quality and suicidal ideation among pregnant women has increased due to the COVID-19 pandemic. This study aimed to provide comprehensive evidence on the prevalence and associated factors of poor sleep quality and suicidal ideation among pregnant women during COVID-19 in Ethiopia.

Materials and Methods

This study is based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) recommendation. Data were searched from PubMed, Google Scholar, and African Journals Online from the occurrence of the COVID-19 pandemic to February 2023. Two researchers extracted the data and performed the methodological quality assessment independently. Random-effect model was used to estimate the pooled effect size and I2was used to check heterogeneity. Stata 14.0 (StataCorp, Collage Station, Texas, USA) was used for statistical analysis.

Results

From six studies the pooled prevalence of poor sleep quality was 55% (95% CI [0.42-0.69], I2 = 98.1%, p < 0.001). Age ≥ 30 years pooled AOR = 1.95, 95% CI (0.85, 3.06), 3rd trimester pooled AOR = 3.20, 95% CI (1.82, 4.58), substance use pooled AOR = 2.51, 95% CI (0.99, 4.04), depression pooled AOR = 2.97, 95% CI (0.92, 5.02) and stress pooled AOR 2.14, 95% CI (0.24, 4.03) were associated factors of poor sleep quality. Three studies reported about suicidal ideation and pooled prevalence was 11% (95% CI: 0.09, 0.13, I2 = 48.2%, p = 0.145). Depression pooled AOR = 3.19, 95% CI (1.68, 4.71) was the only associated factor of suicidal ideation.

Conclusion

Due to COVID-19 pregnant women in Ethiopia were affected by poor sleep quality and suicidal ideation. Thus, suitable and well designed programs proposing awareness of COVID-19, mental health counseling and involvement should be designed to improve the general mental health of pregnant women.

Trial registration

PROSPERO registration number CRD42023389896.

Common sleep disorders in pregnancy: a review

In this review, we provide a comprehensive overview of common sleep disorders during pregnancy, including their characterization, prevalence, risk factors, and possible contribution to maternal and fetal outcomes. We conducted a quasi-systematic literature search of the MEDLINE database and identified 744 studies from 1991 through 2021, inclusive, that met our inclusion criteria. We synthesized the existing literature on sleep disorders during pregnancy and highlighted controversies, research gaps, and needed clinical developments. Our review covers a range of sleep disorders, including insomnia, obstructive sleep apnea, restless legs syndrome, and circadian rhythm disorders. We discuss the prevalence of these disorders in pregnancy and their potential impact on maternal and fetal health outcomes. We also explore the relationship between sleep disorders, pre-pregnancy comorbidities such as obesity, and pregnancy-related conditions such as gestational diabetes mellitus and preeclampsia. In addition to summarizing the existing literature on sleep disorders during pregnancy, we also highlight opportunities for further research in this area. We suggest that future studies should strive to employ validated and objective measurement tools for sleep disorders and prioritize utilization of longitudinal methods with participant follow-up through postpartum, mid-life, menopause, and beyond. We also put forward investigation into the impact of circadian rhythm disruption on reproductive physiology and early pregnancy outcomes as an area of important work. Overall, our review provides valuable insights on sleep and reproduction and into common sleep disorders during pregnancy and their potential impact on maternal and fetal health outcomes.

O sono nos trimestres gestacionais: um estudo longitudinal

RESUMO Objetivo: Identificar as características do sono e os fatores associados ao sono de má qualidade ao longo dos trimestres gestacionais. Método: Estudo longitudinal, quantitativo, com três períodos de acompanhamento, nos trimestres gestacionais (denominados T1, T2 e T3). Estudo longitudinal com 50 gestantes sem comorbidades. Utilizou-se os instrumentos: caracterização sociodemográfica e clínica, Índice de Qualidade do Sono de Pittsburgh e Diário de Sono. Os dados foram analisados por testes estatísticos (Qui-quadrado, testes não paramétricos e modelos de regressão). Resultados: Identificou-se que 55,3% das gestantes relataram sono de má qualidade em T1, 39,5% em T2 e 65,8% em T3 e que, em T3, houve 67% a mais de risco de relatos de sono de má qualidade do que em T2. Conclusão: Considerando-se a elevada prevalência de má qualidade do sono, principalmente no terceiro trimestre, compreende-se o pré-natal como um momento de aprendizado e oportunidade para os enfermeiros desenvolverem ações de educação, orientação e higiene do sono.

Sleep in pregnancy quarters: a longitudinal study

OBJECTIVE

To identify sleep characteristics and factors associated with sleep issues during pregnancy.

METHOD

This is a longitudinal, with three follow-up periods at each gestational trimester (called T1, T2 and T3). Fifty (50) pregnant women without comorbidities started the study. The following instruments were used: sociodemographic and clinical characterization, Pittsburgh Sleep Quality Index and Sleep Diary. Data were analyzed using statistical tests (Chi-square, non-parametric tests and regression models).

RESULTS

We identified that 55.3% of the pregnant women reported sleep disorders in T1, 39.5% in T2, and 65.8% in T3; in T3, the risk of reporting sleep problems increased by 67% in comparison with T2.

CONCLUSION

Considering the high prevalence of poor-quality sleep, especially in the third trimester, prenatal care is understood as a moment of intense learning and an opportunity for nurses to develop actions concerning education, guidance and sleep hygiene.

Poor sleep quality and associated factors among HIV-positive pregnant women in Northwest, Ethiopia: a facility-based, cross-sectional study

BACKGROUND

Poor sleep quality during pregnancy might have an impact on adverse birth outcomes like premature rupture of membrane, preterm birth, lifelong neurocognitive impairment, low birth weight, and increased the risk of neonatal morbidity and mortality. In Ethiopia, the magnitude of poor sleep quality among this group of people is extremely limited. So, this study aims to determine the magnitude of poor sleep quality and its associated factors among HIV-positive pregnant women attending public hospitals in Northwest Ethiopia.

METHODS

An institution-based cross-sectional study was done using a simple random sampling technique to recruit 411 HIV-positive pregnant women from January to March; 2021. Sleep quality over the last 1 month was measured using the Pittsburgh Sleep Quality Index (PSQI). General anxiety disorder (GAD-7), Sleep Hygiene Index (SHI), and List of Threatening of Experiences (LTE) instruments were used to identify factors associated with poor sleep quality. Bivariate and multivariable logistic regression with odds ratio and 95% CI were employed to identify determinant factors of poor sleep quality. Statistical significance association was declared at P-value < 0.05.

RESULTS

A total of 411 out of 423 HIV-positive pregnant women were interviewed, with a response rate of 97.1%. The overall magnitude of poor sleep quality among HIV-positive pregnant was found to be 39.4% with a 95% of confidence interval (CI) (34.3, 44.3). Stressful life events, [AOR = 3.10, 95% CI (1.60, 6.01)], having comorbid general anxiety symptoms [AOR = 2.46, 95% CI (1.58, 3.81)], unplanned pregnancy [AOR = 2.18, 95% CI (1.20, 3.96)], and poor sleep hygiene practice [AOR = 2.23, 95% CI (1.21, 4.10)] were significantly associated with poor quality of sleep.

CONCLUSION

The overall magnitude of poor sleep quality among HIV-positive pregnant women was high. Stressful life events, poor sleep hygiene, unplanned pregnancy, and comorbid general anxiety symptoms were the determinant factors of poor sleep quality that should be taken high consideration for early detection and appropriate intervention for poor sleep quality in HIV-positive pregnant women.

Prevalence and associated factors of poor sleep quality among postpartum women in North West Ethiopia: a community-based study

INTRODUCTION

Although sleep disturbance is a community problem, there is limited study in Ethiopia. Therefore, this study aimed to identify the prevalence and factors affecting postpartum poor sleep quality in women.

METHOD

A community-based cross-sectional study was conducted from July 1st to August 30th, 2021 in Gondar city. The cluster sampling method was used to address 858 study participants. The Pittsburgh Sleep Quality Index (PSQI) 19-item self-report measure of sleep quality over the past month was used to measure maternal sleep quality during the postpartum period and a global PSQI score of 5 or more was used to indicate poor sleep quality. Binary logistic regression was used to identify variable association and 95% confidence level and adjusted Odds Ratio were used to declare association.

RESULT

Poor sleep quality prevalence during postpartum period was 24.0% (95%CI: 21.3-26.9). factors significantly associated with poor sleep quality were family size [AOR = 1.76; 95% CI: (1.14-2.73)], unplanned pregnancy [AOR = 2.11; 95%CI: (1.17-3.80)], had a family history of mental illness [AOR = 3.70; 95%CI: (2.15-6.37)], had known medical disorders [AOR = 2.59; 95%CI: (1.51-4.43)], having intimate partner violence [AOR = 2.58; 95%CI: (1.78-3.75)], and women who can read and write and who complete secondary school [AOR = 2.60; 95% CI: (1.20-5.66)] and [AOR = 2.02; 95%CI: (1.16-3.53)] respectively. On the other hand, being housewife, merchant, and government-employed [AOR = 0.32; 95%CI: (0.14-0.73)], [AOR = 0.13; 95%CI: (0.05-0.34)], and [AOR = 0.38; 95%CI: (0.14-0.98)] respectively were identified to be factors significantly associated with poor sleep quality.

CONCLUSION

Poor sleep quality prevalence is high in the community of Gondar city. Thus, setting strategies to increase women's educational level, providing health education programs to create awareness on the consequence of intimate partner violence which could reduce the violence; increasing screening for medical disorders before or during maternity period, preventing unplanned pregnancy with effective family planning method, and employing women in a certain organization will have a great role in reducing poor sleep quality.

Determinants of Poor Sleep Quality During the COVID-19 Pandemic Among Women Attending Antenatal Care Services at the Health Facilities of Debre Berhan Town, Ethiopia: An Institutional-Based Cross-Sectional Study

BACKGROUND

Women's ability to get sleep can be affected by pregnancy-related hormonal changes or other external stressful situations like the coronavirus disease 2019 (COVID-19).

OBJECTIVE

The objective of this study was to assess the proportion of poor sleep quality during the COVID-19 pandemic and its determinants among pregnant women attending antenatal care (ANC) services.

METHODS

An institutional-based cross-sectional study was conducted among 423 women attending ANC services at the health facilities in Debre Berhan Town, Ethiopia, from May to June 2020. A systematic random sampling technique was used to select the required samples. The tool consisted of questions that assessed (1) socio-demographic characteristics, obstetric and health care service-related characteristics; and media exposure to get information regarding COVID-19 infection; (2) To assess sleep quality; the Pittsburgh Sleep Quality Index (PSQI) was applied. And a global score of >5 indicates poor sleep quality, and a global score of ≤5 indicates good sleep quality.

RESULT

The overall prevalence of poor sleep quality was 62.8%, and was associated with pregnant women aged ≥46 years (AOR = 4.27), being in the third trimester (AOR = 2.51), being multigravida (AOR = 2.72), and having co-morbidity (AOR = 3.57).

CONCLUSION

The prevalence of poor sleep quality among pregnant women during the pandemic was found to be high. Advanced maternal age, third trimester pregnancy, being multigravida, and having comorbidity were determinants of poor sleep quality among pregnant women during the COVID-19 pandemic.