Sleep Duration and Quality in Pregnant Women: A Cross-Sectional Survey in China

Associations Between Domains and Patterns of Sedentary Behavior with Sleep Quality and Duration in Pregnant Women

Objectives: To assess the associations of sedentary behavior (SB) with sleep quality and duration in pregnant women by trimesters and to consider SB domains and patterns. Methods: This investigation included 935 participants (age = 30.0 ± 5.6 years; first trimester = 24.1%, second trimester = 33.9%, third trimester = 42.0%). The total, domains (leisure, occupational, commuting), and patterns (weekdays, weekends) of SB, as well as sleep quality and duration, were self-reported. Adjusted logistic regression models examined the associations of different SBs with the risk of poor sleep quality, not adhering to sleep duration guidelines (7-9 h/day), or being a short- or long-sleeper. Results: The odds of poor sleep quality were significantly higher by 14.2% and 7.4% for each hour increase in total and leisure SB on weekends, respectively. The odds of not adhering to sleep duration guidelines were significantly higher by 5.5% and 11.4% for each hour increase in total and leisure SB during weekdays, respectively; paradoxically, the odds of not complying with the sleep duration guidelines were significantly lower, ranging between 6.6% and 34.4% for each hour increase in total, leisure, or commuting SB on weekends. Further, when analyzed separately, the likelihood of being a short- or long-sleeper was highly variable across SB domains, with associations being more apparent in the first and third trimesters. Conclusions: The relationship between SB and healthy sleep during pregnancy was complex. These variable findings underscore the importance of considering domains and patterns of SB beyond simple total durations in future research to inform interventions and guidelines to improve sleep health during pregnancy.

Obstetric and pregnancy-related factors associated with caesarean delivery in Bangladesh: a survey in Rajshahi district

OBJECTIVES

Caesarean section (CS) delivery is the most common operative obstetric procedure globally. The increasing trend of CS deliveries poses a significant threat to both child and maternal health. The adverse maternal outcomes associated with caesarean delivery represent a substantial public health concern worldwide. This study aimed to identify emerging obstetric and pregnancy risk factors and maternal outcomes associated with CS delivery among women in Rajshahi district, Bangladesh.

DESIGN

This was a cross-sectional study.

SETTING

Data were collected from 9 Upazilas with 233 community clinics of Rajshahi district, Bangladesh.

PARTICIPANTS

Multistage sampling technique was utilised for selecting sample from the population. A total of 540 mothers with a live infant were enrolled in the study. Descriptive statistics, χ2 test, logistic regression and ROC curve were used to analyse the data.

RESULTS

The mean age of respondents was 26.28 years (SD 4.96); among them, the proportion of CS was 34.44%, with a higher proportion occurring in private clinics (82.8%) compared with public hospitals (17.2%). The likelihood of having a CS increased with factors such as insufficient sleep duration (p=0.002), oedema problems (p=0.014), inadequate supplements of micronutrients (p=0.009), severe headaches with blurred vision (p=0.028) and inadequate food consumption during pregnancy (p=0.032). The probability of experiencing obstetric fistula or postpartum anaemia (p=0.049) was higher among mothers who had a CS in their most recent live birth than mothers who had a vaginal birth.

CONCLUSION

The study found that having a CS increases the risk of maternal complications like an obstetric fistula or postpartum anaemia. Considering these results, it is recommended to urgently introduce carefully evaluated clinical practices to assess if vaginal delivery is possible. Counselling women about the delivery method is important to decrease unnecessary CS in Bangladesh.

Factors associated with sleep quality in adolescent pregnant women

OBJECTIVE

To verify the association of sociodemographic, anthropometric, obstetric, lifestyle factors, and depressive symptoms with sleep quality in pregnant adolescents.

METHOD

This cross-sectional study involved pregnant adolescents aged 10 to 19 who received prenatal care in Recife, Pernambuco, Brazil. Data collection included an individual evaluation form and the administration of the Pregnancy Physical Activity Questionnaire (PPAQ), the Pittsburgh Sleep Quality Index (PSQI), and the Beck Depression Inventory (BDI). Prevalence and associations were calculated using Pearson's chi-square test or Fisher's exact test, followed by logistic regression analysis.

RESULTS

The study included 386 pregnant adolescents with a mean age of 17 ± 2 years. The prevalence of poor sleep quality was 67.5%. Poor sleep quality was associated with moderate to severe depressive symptoms (OR = 2.21; 95%CI 1.27-3.85), higher education levels (OR = 2.26; 95%CI 1.43-3.57), and the presence of gestational physical symptoms (OR = 1.18; 95%CI 1.10-1.27).

CONCLUSION

Pregnant adolescents exhibit a high prevalence of poor sleep quality, which is linked to depressive symptoms, higher education levels, and gestational physical symptoms. These findings highlight the importance of screening for sleep disorders in this population and emphasize the need for guidelines addressing physical symptoms and their impact on sleep, as well as the presence of depression.

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.

Compliance with 24 h Movement Behavior Guidelines for Pregnant Women in Saudi Arabia: The Role of Trimester and Maternal Characteristics

BACKGROUND

Complying with 24 h movement behavior guidelines for pregnant women may prevent pregnancy complications. This single time point, cross-sectional investigation assessed compliance with the 24 h movement behavior guidelines in pregnant women in Saudi Arabia and examined the role of trimester and maternal characteristics.

METHODS

Pregnant women (n = 935; age = 30 ± 5.6 years; first trimester = 24.1%, second trimester = 33.9%, third trimester = 42.0%) self-reported their characteristics (nationality, region, degree, occupation, smoking status, health status, having children, previous birth). The short-version International Physical Activity Questionnaire, Sedentary Behavior Questionnaire, and Pittsburgh Sleep Quality Index Questionnaire measured moderate physical activity (MPA), sedentary behavior (SB), and sleep duration, respectively. Compliance with the 24 h movement behavior guidelines was reported using frequencies and percentages. Prevalence ratios compared the prevalence of compliance by trimester and maternal characteristics.

RESULTS

Approximately half of the participants did not comply with MPA or sleep duration guidelines (n = 524, [56.0%] and n = 424, [45.5%], respectively). In contrast, about two-thirds of participants (n = 648, [69.3%]) adhered to the SB guideline. Only 154 (16.5%) participants complied with all 3 24 h movement behavior guidelines. Pregnant women in their second trimester, living in Al-Ahsa Governorate, and currently smoking with a bachelor's degree were the most likely to comply with the guidelines.

CONCLUSIONS

These findings underscore the need for tailored efforts to promote healthy 24 h movement behavior guidelines for pregnant women in Saudi Arabia, especially early in pregnancy, while accounting for important maternal characteristics.

Correlation between Vegetable and Fruit Intake and Cognitive Function in Older Adults: A Cross-Sectional Study in Chongqing, China

OBJECTIVE

To explore the correlation between different types of vegetable and fruit intake and cognitive function among the older adults in Chongqing, China, and to provide a scientific basis for developing efficient lifestyle interventions for the prevention of Mild Cognitive Impairment (MCI).

METHOD

Approximately 728 older adults in urban and rural areas of Chongqing were surveyed using face-to-face questionnaires. Cognitive function was assessed with the Montreal Cognitive Assessment-Basic (MoCA-B) scale, and the vegetable and fruit intake groups were investigated with the Simple Food Frequency Counting Survey Scale. Binary logistic regression was used to explore the effect of the vegetable and fruit intake group on cognitive function. Subgroup analysis was used to demonstrate the robustness of the results.

RESULT

Of the 728 participants in the study, 36.40% were likely to have MCI, which is higher than the national average for this condition. After adjusting for confounders, compared to the Q1 group, fruit and root vegetable intake was a protective factor for MCI, showing a dose-response relationship (p < 0.05). Only lower intake (Q2) of total vegetables, medium intake (Q2, Q3) of solanaceous vegetables, and medium-high intake (Q2, Q4) of fungi and algae was protective against MCI, whereas the leafy vegetables showed no relation to MCI. Apart from this, participants who were older, female, unmarried, non-smoking, and engaged in physical labor, and who had an average monthly income of less than 3000 RMB were more likely to suffer from cognitive impairment.

CONCLUSION

This suggested that the fruit-intake groups and some vegetable-intake groups showed a protective effect on cognitive function, and might behave differently depending on their different intake and demographic characteristics. A sensible, healthy diet can help prevent MCI.

Factors affecting poor sleep quality in last trimester pregnant women: a cross-sectional research from Turkey

OBJECTIVE

The aim of the study was to determine the factors affecting poor sleep quality in the last trimester pregnant women.

METHODS

A cross-sectional study was conducted at a tertiary care maternity hospital in Ankara, Turkey. The research was conducted between May and September 2019 with 570 pregnant women in the last trimester. The data were collected through the Personal Information Form, Pittsburgh Sleep Quality Index, International Physical Activity Questionnaire Short Form, Restless Legs Syndrome Form, Brief Fatigue Inventory, and Perceived Stress Scale.

RESULTS

The mean Pittsburgh Sleep Quality Index score of the pregnant women was 5.98±3.31, and 48.9% of them were found to have over five Pittsburgh Sleep Quality Index scores. Hemoglobin levels, income perceptions, smoking habits, attending pregnant schools, experiencing leg pains or cramping, experiencing back, waist, or neck pains, Restless Legs Syndrome, fatigue levels, and perceived stress levels of the pregnant women were found to be important determinants of sleep quality (p<0.05).

CONCLUSION

According to the findings, increasing hemogram levels, attending antenatal education programs, and improving the ability of pregnant women to manage stress are opportunities to improve sleep quality during pregnancy. Careful evaluation of pregnant women in terms of insomnia and affecting factors can be suggested during antenatal follow-up.

Poor sleep quality and its associated factors among HIV/ADIS patients living in sub-Saharan African countries: a systematic review and meta-analysis

Good-quality sleep is defined by its ability to minimize disturbances, provide adequate duration, and maintain a balanced progression through sleep stages. Sleep disturbance is a common complaint in people living with HIV/AIDS. Despite the influence of sleep disturbance on treatment adherence, quality of life, work productivity, risk of chronic illness. Studies have reported sleep disturbances among HIV/AIDS patients in sub-Saharan African countries (SSA), yielding varied results at the country level. Therefore, conducting a systematic review and meta-analysis is essential. This systematic review and meta-analysis aimed to evaluate the prevalence of poor sleep quality and identify associated factors among HIV/AIDS patients in sub-Saharan African countries. We systematically searched across various databases, including PubMed, African Journals Online, Scopus, Cochrane Library, HINARI, and Science Direct. Additionally, we conducted searches using Google and Google Scholar search engines. Microsoft Excel was used for data extraction, and the data were analysed using STAT version 17.0. We assessed heterogeneity using Cochran's Q test and I2 test and checked for small study effects using funnel plot symmetry and Egger's test. Pooled prevalence and associated factors were estimated using a random-effects model at a 95% confidence interval (CI) and significance level of p < 0.05. To identify factors associated with poor sleep quality among individuals living with HIV/AIDS, odds ratios (ORs) and their corresponding 95% CI were calculated. This analysis combined data from 15 separate studies involving a total sample size of 5176 participants. The pooled prevalence of poor sleep quality among HIV/AIDS patients in SSA countries was 49.32% (95% CI 41.32-56.8%). Factors significantly associated with poor sleep quality included depression (OR 2.78; 95% CI 1.21-6.40) and CD4 count < 200 cells/mm3 (AOR 3.15; 95% CI 2.41-4.15). In this study the prevalence of poor sleep quality among HIV/AIDS patients in SSA was higher and differs across the countries, ranging from 21.7 to 73.7%. The findings underscore the urgent necessity for programs aimed at improving sleep quality, particularly in addressing factors such as participant income and depression that are linked to poor sleep quality in HIV/AIDS patients.Systematic review registration: PROSPERO CRD42024517229.

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.

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.

Trajectories of sleep quality and depressive symptoms in women from pregnancy to 3 months postpartum: a prospective cohort study

Sleep quality and depression during pregnancy often affect women's adaptation to motherhood and are linked with adverse maternal and neonatal outcomes. Using a prospective cohort study comprising 190 pregnant women in central Taiwan, we investigated the trajectories of sleep quality and depressive symptoms and their associated predictors in perinatal women from pregnancy to postpartum. Sleep and depressive symptoms were assessed using the Pittsburgh Sleep Quality Index and the Edinburgh Postnatal Depression Scale, respectively, from mid-pregnancy to 3 months postpartum. We used group-based trajectory modelling and logistic regression modelling to analyse the data collected from the structured questionnaires. Pregnant women (50.5% primipara) with a mean (standard deviation) age of 32.3 (4.1) years were included. We identified three distinctive classes of sleep quality trajectories during the perinatal period: 'stable good' (18.4%), 'increasing poor' (48.9%), and 'stable poor' (32.6%). We further detected three stable trajectories of depressive symptoms: 'stable low' (36.3%), 'stable mild' (42.1%), and 'stable high' (21.6%). A significant association between sleep quality and depression trajectories was evident (p < 0.001). High fatigue symptoms and low social support predicted the high trajectories of poor sleep and depressive symptoms. Distinctive dynamic sleep quality and stable depression trajectories were characterised. Our findings revealed that both the sleep and depression trajectories were closely associated with one another, with common predictors of fatigue symptoms and social support. The early assessment of maternal sleep and depression status is important for identifying at-risk women and initiating interventions tailored to perinatal women to improve their sleep and mental health.

Associations between Perinatal Sleepiness and Breastfeeding Intentions and Attitudes and Infant Feeding Behaviors and Beliefs

Breastfeeding rates fall short of public health goals, but barriers are poorly understood. We examined whether excessive sleepiness during pregnancy and the postpartum period was associated with breastfeeding intentions, attitudes, initiation, and continuation in a tobacco-exposed sample participating in a randomized controlled trial to reduce smoke exposure (n = 399). We used the Epworth Sleepiness Scale (ESS) to examine associations between excessive sleepiness in early (12-16 weeks gestation) and late (32 weeks gestation) pregnancy and at 6 months postpartum, with breastfeeding attitudes using the Mitra index, intentions, initiation, and continuation, as well as other infant feeding practices using the Infant Feeding Questionnaire. Logistic regression models adjusted for age, racial/ethnic identity, parity, marital status, and maternal education showed that excessive sleepiness in late pregnancy was associated with less favorable attitudes toward breastfeeding. In addition, in unadjusted models, excessive sleepiness at 6 months postpartum was associated with less of a tendency to use feeding to calm a fussy infant. Excessive sleepiness was not associated with intent, initiation, or continuation of breastfeeding. Assessing excessive sleepiness in late pregnancy may assist in identifying individuals with negative attitudes to breastfeeding and lead to novel approaches to promoting breastfeeding in populations with lower breastfeeding rates.

Chronotype and sleep duration interact to influence time to pregnancy: Results from a New York City cohort

STUDY OBJECTIVE

To study associations between nighttime sleep characteristics and time to pregnancy.

METHODS

Pregnant people age ≥18 years and<18 weeks' gestation were recruited from 3 New York University Grossman School of Medicine affiliated hospitals in Manhattan and Brooklyn (n = 1428) and enrolled into the New York University Children's Health and Environment Study. Participants in the first trimester of pregnancy were asked to recall their time to pregnancy and their sleep characteristics in the 3 months before conception.

RESULTS

Participants who reported sleeping<7 hours per night tended to have shorter time to pregnancy than those who slept 7-9 hours per night (adjusted fecundability odds ratio = 1.16, 95% confidence interval: 0.94, 1.41). Participants with a sleep midpoint of 4 AM or later tended to have longer time to pregnancy compared with those with earlier sleep midpoints (before 4 AM) (adjusted fecundability odds ratio = 0.88, 95% confidence interval: 0.74, 1.04). When stratified by sleep midpoint, sleeping<7 hours was significantly associated with shorter time to pregnancy only among those whose sleep midpoint was before 4 AM (adjusted fecundability odds ratio = 1.33, 95% confidence interval: 1.07, 1.67).

CONCLUSIONS

The association of sleep duration with time to pregnancy was modified by chronotype, suggesting that both biological and behavioral aspects of sleep may influence fecundability.

Systematic review of the associations between prenatal sleep behaviours and components of energy balance for regulating weight gain

This systematic review aimed to examine the magnitude and direction of the associations between prenatal sleep behaviours (i.e. nighttime sleep duration, sleep quality, night awakenings and daytime nap duration) and eating behaviours, physical activity and gestational weight gain. A systematic search was conducted using Medline/PubMed, PsychINFO, CINAHL Complete, ProQuest Dissertations and Thesis A&I, and Web of Science to identify studies with at least one sleep measure, and either eating behaviours, physical activity and/or gestational weight gain. In summary, 11 studies met the review criteria and generated 11 total effect size across 10,900 participants. The majority of the studies were conducted after 2010, which highlights the infancy of this research. Overall, the strengths of the effect size were small: sleep-gestational weight gain (effect size = 0.29), sleep-eating behaviours (effect size = 0.13) and sleep-physical activity (effect size = 0.13). The only effect size that emerged as significant was for the pooled sleep behaviours-physical activity association; good sleep behaviours were positively associated with higher levels of physical activity. These findings summarize and provide insight on how sleep behaviours are related to prenatal gestational weight gain, eating behaviours and physical activity by identifying the strength and direction of the associations that have been previously unknown. Results support the rationale for future longitudinal and randomized control trials to examine the effects of sleep behaviours on gestational weight gain, eating behaviours and physical activity over the course of pregnancy.

Passive smoking and insomnia in rural Chinese nonsmoking housewives: An environmental and genetic perspective

Active smoking has been a risk factor for insomnia, however, little is known about the effect of passive smoking on insomnia. Polycyclic aromatic hydrocarbons (PAHs) are potential contents in tobacco smoke. We aimed to investigate the association between passive smoking exposure and insomnia, plus the modification effects of single nucleotide polymorphisms (SNPs) related to PAHs metabolism. A cross-sectional study with 392 nonsmoking women was conducted in a rural area of Shanxi Province, China. A structured questionnaire was used to collect the information on passive smoking exposure, insomnia and other health-related factors via face-to-face interviews. We simultaneously collected participants' hair samples to measure the concentrations of 26 PAHs. Whole blood samples were collected to test 9 SNPs related to PAHs metabolism. Logistic regression analysis was conducted to evaluate the association between passive smoking and insomnia, as well as the relation between passive smoking and PAHs concentrations. We further examined the potential interaction effects between passive smoking and SNPs on insomnia. 118 (30.1 %) were exposed to passive smoking and 128 (32.7 %) suffered from insomnia. Passive smoking nearly doubled the probability of insomnia with adjusted odds ratio and 95 % confidence interval of (1.99: 1.16, 3.39). Dose-response association between passive smoking and insomnia was observed by passive smoking frequency (P trend < 0.001). Among the 7 PAHs measured with detection rates > 70 %, no specific PAH was detected to be associated with passive smoking exposure after Bonferroni correction. The mutant genotypes of CYP1B1 (rs1056836), AHR (rs2066853), and AHRR (rs2292596) were detected to have synergetic effects with passive smoking on insomnia after multivariate adjustment. We found a positive association between passive smoking status and insomnia among nonsmoking women. This association could be modified by SNPs related to PAHs metabolism. PAHs might not be the environmentally potential mechanism involved in the insomnia caused by tobacco smoke exposure.

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.

Association of Fatigue With Sleep Duration and Bedtime During the Third Trimester

PURPOSE

To investigate the association between fatigue and sleep habits of pregnant women to further explore the effect of sleep duration and bedtime on fatigue during the third trimester.

MATERIALS AND METHODS

A total of 465 Chinese Han pregnant women in the third trimester (after 28 weeks) with a singleton gestation were recruited. Sleep habits (such as bedtime, sleep onset latency, and night sleep duration) and the 14-item Fatigue Scale scores (FS-14, used to assess fatigue) were collected.

RESULTS

The effects of sleep duration and bedtime on FS-14 physical and total scores were significant. FS-14 physical scores and total scores of the participants in the group of sleep before 23 o'clock (SBC) of short sleep duration (<7 h) were significantly higher as compared to the participants in the group of SBC of normal sleep duration, and those of the participants in the group of SBC of normal sleep duration were significantly lower than the participants in the group of sleep after 23 o'clock of normal sleep duration. There were negative correlations of sleep duration with FS-14 physical score and total score in the SBC of short sleep duration group.

CONCLUSION

Sleep less than 7 h or bedtime after 23 o'clock was associated with increased fatigue levels of pregnant women in the third trimester. Therefore, it is necessary to develop good sleep habits (enough sleep duration and early bedtime) to keep fatigue at a low level for pregnant women in the third trimester.

Poor sleep Quality and Obstructive Sleep Apnea are Associated with Maternal Mood, and Anxiety Disorders in Pregnancy

BACKGROUND

Previous studies suggest sleep quality and obstructive sleep apnea (OSA) may be associated with psychiatric symptoms, including depression, anxiety, and posttraumatic stress disorder (PTSD). However, few studies have examined the relationship between sleep quality and OSA with maternal psychiatric symptoms during pregnancy, a state of vulnerability to these disorders.

OBJECTIVE

The objective of our study is to examine the association between poor sleep quality and sleep apnea with antepartum depression, anxiety, and PTSD among pregnant women.

METHODS

A cross-sectional study was conducted among women seeking prenatal care in Lima, Peru. Sleep quality was measured using the Pittsburgh Sleep Quality Index, and the Berlin questionnaire was used to identify women at high risk for OSA. Depression, generalized anxiety, and PTSD symptoms were measured using the Patient Health Questionnaire-9, Generalized Anxiety Disorder Assessment, and PTSD Checklist - Civilian Version. Multivariate logistic regression procedures were used to estimate adjusted odds ratios (aOR) and 95% confidence intervals (95% CI).

RESULTS

Approximately 29.0X% of women had poor sleep quality, and 6.2% were at high risk for OSA. The prevalence of psychiatric symptoms was high in this cohort with 25.1%, 32.5%, and 30.9% of women reporting symptoms of antepartum depression, antepartum anxiety, and PTSD, respectively. Women with poor sleep quality had higher odds of antepartum depression (aOR = 3.28; 95%CI: 2.64-4.07), generalized anxiety (aOR = 1.94; 95%CI: 1.58-2.38), and PTSD symptoms (aOR = 2.81; 95% CI: 2.28-3.46) as compared with women who reported good sleep quality. Women with a high risk of OSA had higher odds of antepartum depression (aOR = 2.36; 95% CI: 1.57-3.56), generalized anxiety (aOR = 2.02, 95% CI: 1.36-3.00), and PTSD symptoms (aOR = 2.14; 95%CI: 1.43-3.21) as compared with those with a low risk of sleep apnea.

CONCLUSIONS

Poor sleep quality and high risk of OSA are associated with antepartum depression, generalized anxiety, and PTSD symptoms among pregnant women. Further characterizations of the associations of these prevalent sleep, mood, and anxiety conditions among pregnant women could aid in evaluating and delivering optimal perinatal care to women with these comorbidities.

Comparison of sleep quality among puerperal women before and during the COVID-19 pandemic: a cross-sectional survey in Lanzhou, China

Purpose

Methods

Results

Conclusions

Incidence and correlates of insomnia and its impact on health-related quality of life among Chinese pregnant women: a cross-sectional study

OBJECTIVE

The aims of this study were to examine the incidence and correlates of insomnia and its impact on health-related quality of life among Chinese pregnant women.

METHOD

A cross-sectional study was performed from November 2018 to April 2019 in a university-affiliated general hospital in Guangzhou, China. Seven hundred and seventeen pregnant women completed the 36-item Short-Form Health Survey (SF-36), the Self-Rating Anxiety Scale (SAS), the Self-Rating Depression Scale (SDS), and the obstetric and sociodemographic data sheet.

FINDINGS

24.3% of the pregnant women suffered from insomnia. Compared with women without insomnia, those with insomnia had a significantly lower health-related quality of life during pregnancy. Maternal age, educational level, occupation, economic status, insurance coverage, gestational age, the woman's relationship with her mother-in-law and anxiety were significantly associated with insomnia among pregnant women.

CONCLUSION

The incidence of insomnia among pregnant women is high, and insomnia is negatively correlated with health-related quality of life. Appropriate measures and practical therapeutic programmes should be provided to prevent the adverse effects of insomnia in pregnant women with advanced maternal age, lower education, lower economic status, unemployment, lack of insurance coverage, unsatisfied with their relationships with their mothers-in-law, and suffering from anxiety symptoms, especially in the third trimester.

Mental disorders among pregnant women during the COVID-19 pandemic. A cross-sectional study

BACKGROUND

Pregnancy is the most important event in women's lives and can lead to psychological lability. Several risk factors (such as disasters, events and pandemics) have been correlated with greater prevalence of mental disorders during pregnancy.

OBJECTIVES

To research how pregnant women have been affected by the coronavirus disease-19 (COVID-19) pandemic process, in order to contribute to the limited literature.

DESIGN AND SETTING

Cross-sectional survey study conducted at the Training and Research Hospital of the Faculty of Medicine, University of Ordu, Ordu, Turkey, from February 1 to March 1, 2021.

METHODS

In total, 356 pregnant women were enrolled and completed the survey. Intention of going to hospital and the Beck anxiety, Beck depression, Beck hopelessness and Epworth sleepiness scales were applied to detect mental disorders.

RESULTS

Among the participants, the anxiety, depression, hopelessness and sleepiness scores were 29.2%, 36.2%, 58.1% and 11.8%, respectively. The pregnant women stated that they avoided going to hospital in unnecessary situations by obeying the 'stay at home' calls, but also stated that they were afraid of the potential harmful effects of inadequate physician control. However, most of them stated that they would go to the hospital in emergencies.

CONCLUSIONS

This paper illustrated the effect of the COVID-19 pandemic on the mental health of pregnant women and emphasized their high rates of anxiety, depression, hopelessness and sleepiness. Since presence of mental disorders is indirectly related to poor pregnancy outcomes, preventive strategies should be developed, especially during this pandemic process.

Comparison of longitudinal diary and actigraphy-assessed sleep in pregnant women

STUDY OBJECTIVES

Various methods are employed to assess sleep in pregnant women, including self-report, sleep diary, and actigraphy. Unfortunately, the data are often contradictory, and interpretations are often inconsistent. The current aims are to compare subjective and objective sleep data in pregnant women collected longitudinally in early pregnancy.

METHODS

In this secondary analysis of 104 pregnant women, sleep was collected via diary and actigraphy for 14 days during three separate occasions (10-12 weeks; 14-16 weeks; and 18-20 weeks). Sleep variables included wake after sleep onset (WASO), sleep efficiency (SE), bedtime/lights out, sleep onset latency (SL), and total sleep duration (TST). Repeated measures ANOVAs compared each sleep variable across Time and by Method of data collection, while controlling for parity and daytime naps.

RESULTS

Significant differences were noted for only the method of data collection for sleep component studied for WASO, F (1, 98) = 147.20, p < 0.001; SE, F (1, 98) = 129.41, p < 0.001); bedtime/lights out, F (1, 103) = 5.33, p < 0.05); and sleep duration, F (1, 104) = 182.75, p < 0.001). Significant variation was not seen in any variable across time-period.

CONCLUSIONS

There are substantial discrepancies between diary- and actigraphy-assessed sleep measures in pregnant women which is in alignment with previous literature. These data highlight that these methodologies assess different constructs. We contend that these data may be useful as a reference to compare high-risk women or those with sleep disorders. Using a multi-modal approach to identify sleep disturbance in pregnancy is likely a more clinically useful option.

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

BACKGROUND

Sleep is a natural physiological process vital for the physical and mental wellbeing of pregnant women and their fetuses. Even though poor sleep quality is a common problem among pregnant women, it is not studied in developing countries including Ethiopia. Therefore, this study was aimed to assess the poor sleep quality and associated factors among pregnant women attending antenatal care at Jimma medical center, Jimma, Southwest Ethiopia, 2020.

METHODS

A cross-sectional study design was conducted among 415 pregnant women at Jimma Medical Center (JMC). The study subjects were selected using a systematic random sampling technique. Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality using face-to-face interviews. SPSS version 25 was used to analyze data. Bivariate and multivariable logistic regressions were done to identify factors related to sleep quality. In multivariable logistic regression variables with a p-value less than 0.05 was considered significant and, adjusted OR (AOR) with 95% CI was used to present the strength of the association.

RESULTS

The prevalence of poor sleep quality among pregnant women was found to be 30.8% (95% CI (26.5, 35.2). In multivariable analysis, age ≥ 30 years old (AOR = 1.94;95%CI:1.03,3.66), Multigravida (AOR = 1.90;95%CI:1.90,3.32),depression (AOR = 4.26;95%CI:2.54,7.14),stress (AOR = 1.85;95%CI:1.20,3.02) were variables significantly associated with poor sleep quality.

CONCLUSION

This study found a high prevalence of poor sleep quality among pregnant women. Older age, gravidity, depression, and stress were associated with poor sleep quality. It is better to have routine sleep pattern screening and teach sleep hygiene practice for pregnant women.

Tobacco smoke exposure and inadequate sleep among U.S. school-aged children

OBJECTIVE/BACKGROUND

Inadequate sleep and tobacco smoke exposure (TSE) have been separately linked to adverse childhood health consequences. Our objective was to assess the association between home TSE status and inadequate sleep among U.S. school-aged children.

METHODS

We analyzed 2018-2019 National Survey of Children's Health data, and included 17,851 children ages 6-11 years. Children were classified into three parent-report TSE groups: (1) did not live with a smoker (no TSE at home); (2) lived with a smoker who did not smoke inside the home (thirdhand smoke (THS) exposure only); and (3) lived with a smoker who smoked inside the home (secondhand smoke (SHS) and THS exposure). Parent-report of inadequate sleep on most weeknights was defined as <9 h, following age-specific national guidelines. We fitted a weighted multivariable logistic model to assess the association between TSE groups and inadequate sleep, adjusting for child covariates (sociodemographics, overweight status, health status, physical activity, and screen time).

RESULTS

About 13% and 1% of school-aged children were exposed to home THS only and home SHS and THS, respectively; approximately 36% overall had inadequate sleep. Compared to children with no TSE at home, children who were exposed to home THS only had higher odds of inadequate sleep (AOR = 1.44, 95%CI = 1.20-1.73); those exposed to home SHS and THS had higher odds of inadequate sleep (AOR = 1.83, 95%CI = 1.20-2.78).

CONCLUSIONS

TSE is associated with school-aged children having inadequate sleep, even when smokers did not smoke inside the home. Promoting parental smoking cessation is essential to fully protect children from related risks.

Occupational hazards, sleep quality and musculoskeletal problems of pregnant workers

The aim of this study was to identify the relationship between musculoskeletal problems and sleep quality and exposure to occupational hazards in working pregnant women. The study included a total of 142 pregnant women working in various industries. The risk of experiencing musculoskeletal system problems was found to increase with impaired sleep quality (OR interval min =1.132 max =1.303). As the amount of work-related physical damage increased, musculoskeletal complaints increased (OR interval min = 1.228 max = 1.527). Environmental hazards and psychosocial hazards seemed to increase the risk of having musculoskeletal problems (OR interval min = 1.209 max = 1.465, and OR interval min = 1.326 max = 1.547, respectively). Physical, psychosocial and workplace environmental hazards seemed to increase the risk of musculoskeletal complaints in pregnancy. It was also seen that as sleep quality decreased, so musculoskeletal complaints increased.Impact StatementWhat is already known about this subject? Occupational hazards and poor sleep quality can be associated with adverse health outcomes. Pregnant women working in different industries in Turkey may also face work-related hazards. They may also experience pregnancy-related sleep problems. In this context, there is a need to identify occupational hazards and problems related to sleep and to provide protective strategies.What do the results of this study add? The most frequent physical hazard was determined to be a simultaneous bending and rolling movement, the most frequent work environment hazard was noise exposure and the most frequent psychosocial hazard was the lack of a reward system. Physical, work environment and psychosocial hazards were observed to increase the risk of musculoskeletal problems. Moreover, the risk of having musculoskeletal problems increased as sleep quality deteriorated.What are the implications of these findings for clinical practice and/or further research? Training should be planned for working women, including the idea of conception and work-related hazards and protective strategies. It may be possible to provide arrangements related to the workplace by including employers in this training.

Sleep quality according to the Pittsburgh Sleep Quality Index in over 7000 pregnant women in Poland

The aim was to assess sleep quality in pregnant women, characterize sleep patterns in each trimester and to establish independent risk factors of poor sleep quality during gestation. A cross-sectional survey was conducted. The questionnaire included questions regarding sociodemographic data, information on the current pregnancy, sleep patterns and Pittsburgh Sleep Quality Index. 7202 respondents fulfilled the survey completely and only those were included. A total of 95.1% of the respondents in the first trimester, 93% in the second trimester and 94.8% in the third trimester had poor sleep quality. Significantly more women with poor sleep quality assessed their socioeconomic status as bad or sufficient (15.7 vs 8.8%; p < 0.001), stress level as higher (mean 4.7 points vs 3.9 points; p < 0.001), had lower relationship rating (mean 8.8 points vs 9.3 points; p < 0.001) or suffered from depression and anxiety disorders. Logistic regression revealed pregnancy ailments to be the strongest independent risk factors of poor sleep quality during gestation. Sleep disorders are common among pregnant women in Poland and increase significantly as the pregnancy progresses. Developing and introducing a simple and easily available screening tool to assess sleep quality in common practice might improve the quality of the health care of pregnant women.

Sleep Conditions Associate with Anxiety and Depression Symptoms among Pregnant Women during the Epidemic of COVID-19 in Shenzhen

BACKGROUND

Pregnant women often encounter psychiatric symptoms and declined sleep quality as pregnancy proceeds. The associations between sleep conditions and anxious and depressive symptoms among pregnant women remained to be investigated, particularly during the epidemic of COVID-19.

METHODS

An online cross-sectional survey on pregnant women was conducted at the time period of fast increasing cases of COVID-19 in Shenzhen. The Self-Rating Anxiety Scale (SAS) and the Patient Health Questionnaire (PHQ-9) were applied to detect anxious and depressive symptoms. Multivariable logistic regressions models were established to explore the associations of sleep conditions with psychological symptoms.

RESULTS

In total, 751 pregnant women were enrolled, with a mean age of 30.51 years (Standard deviation: 4.28). Overall, 82.7% of the respondents considered low risk of being infected by COVID-19. The prevalence of anxiety and depression symptoms during the epidemic of COVID-19 among pregnant women were 13.4% and 35.4%, respectively, but most of which were mild. Variables referred to poor sleep conditions were strongly associated with anxious and depressive symptoms, including random or late time of going to bed, difficulty in falling sleep, short sleep duration, and ordinary or poor subjective sleep quality.

LIMITATIONS

Non-random sample restricted generalization of our findings to the whole population of pregnant women.

CONCLUSIONS

Our research revealed a notable proportion of the pregnant women who exhibited mild anxiety and depression symptoms during the epidemic of COVID-19 in Shenzhen. Targeted interventions in improving sleep conditions might help alleviate gestational anxious and depressive symptoms.

Duration and quality of sleep during pregnancy are associated with preterm birth and small for gestational age: A prospective study

OBJECTIVE

To explore the associations of duration and quality of sleep during pregnancy with preterm birth and small for gestational age (SGA).

METHODS

A prospective study was carried out on 1082 healthy women with singleton pregnancies from Chengdu, China. Self-report questionnaires, including duration and quality of sleep and other information, were administered at 8-12, 24-28, and 32-36 weeks of pregnancy. Data on gestational age and weight and length of the neonates were recorded after delivery. After controlling the potential confounders, a multivariable logistic regression model was performed to evaluate whether duration and quality of sleep were associated with preterm birth and SGA.

RESULTS

Participants with short duration of sleep during the third trimester were more likely to report preterm birth (odds ratio [OR] 2.16, 95% confidence interval [CI] 1.26-4.81) and SGA (OR 2.67, 95% CI 1.18-6.54). Participants with poor quality of sleep during the third trimester were at high risk for preterm birth (OR 2.26, 95% CI 1.29-5.84) and SGA (OR 2.08, 95% CI 1.19-5.38).

CONCLUSION

Short duration and poor quality of sleep during pregnancy are associated with an increased risk of preterm birth and SGA. Sleep characteristics should be assessed during prenatal evaluations to decrease adverse maternal and fetal outcomes.

Melatonin serum level, sleep functions, and depression level after bilateral anodal transcranial direct current stimulation in patients with Parkinson's disease: a feasibility study

Objective

Parkinson's disease (PD) is associated with non-motor complications such as sleep disturbance and depression. Transcranial direct current stimulation (tDCS) showed therapeutic effects on the motor dysfunctions. However, the potential effects of tDCS therapy on melatonin hormone, sleep dysfunctions, and depression in patients with PD still unclear. This feasibility study aimed to identify any potential changes in melatonin serum level, sleep functions and depression after the bilateral anodal tDCS in patients with PD.

Material and Methods

Tensessions of bilateral anodal tDCS stimulation applied over left and right prefrontal and motor areas were given to twenty-five patients with PD. Melatonin serum level, Pittsburgh sleep quality index, and geriatric depression scale examined before and after tDCS stimulation.

Results

After bilateral anodal tDCS, there was a significant reduction in melatonin serum level, improvement in depression, improvements in overall sleep quality, and sleep latency. Correlations test showed significant associations between melatonin serum level reduction and changes in subjective sleep quality, and sleep duration, as well as between improvements in depression and overall sleep quality, sleep latency, and sleep disturbance.

Conclusion

Bilateral anodal tDCS therapy was a feasible and safe tool that showed potential therapeutic effects on melatonin serum level, sleep quality, and depression level in patients with PD. Although the further large scale and randomized-control trial studies are crucially needed, there is still a need for such a feasibility study to be established before such trials can be implemented as is recommended in the new medical research council guidelines.

Prevalence of and Risk Factors for Poor Sleep During Different Trimesters of Pregnancy Among Women in China: A Cross-Sectional Study

BACKGROUND

The management of poor sleep during pregnancy is important for maternal and foetal health. The aim of the present study was to investigate the prevalence of poor sleep quality and risk factors for poor sleep during different trimesters of pregnancy for better management of sleep during pregnancy.

METHODS

A cross-sectional study was conducted among pregnant women in Foshan Women's and Children's Hospital. In total, 2281 pregnant women were analysed, and the Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality. Cluster logistic regression was used to analyse the risk factors for poor sleep among all participants, and logistic regression models were built to identify potential risk factors for poor sleep quality in different trimesters of pregnancy.

RESULTS

Over half of the participants reported poor sleep quality (51.8%). The rate of poor sleep was lowest in the second trimester. Women who were unmarried had >12 years of education, exercised <3 days/week, were in the third trimester, had a high level of nausea and vomiting during pregnancy (NVP) and had a history of infertility had a higher risk of poor sleep. Pregnancy-related factors contributed most to poor sleep. In the first trimester, the main risk factors for poor sleep were a history of infertility and a high level of NVP. In the second trimester, only a high level of NVP was a risk factor for poor sleep. In the last trimester, the risk factors for poor sleep were more education years, exercise <3 days/week and high levels of NVP.

CONCLUSION

The prevalence and risk factors for poor sleep were different in different trimesters. Clinicians should screen and address poor sleep prior to the first and, especially, the third trimester of pregnancy. Management of poor sleep should be consistent throughout pregnancy and be adjusted in different trimesters.

Association Between Recent Experience of Childbirth and Sleep Quality in South Korean Women: Results from a Nationwide Study

INTRODUCTION

Although women commonly report deterioration of sleep quality postpartum, this relationship has been less studied in East Asian countries. This study investigated the association between recent experience of childbirth and sleep quality in South Korean women and additionally examined how healthy practice behavior interplays in the stated relationship.

METHODS

Data from the 2018 Community Health Survey were used. Sleep quality was measured using the Pittsburgh sleep quality index (PSQI). Women who responded to have given birth in the past year were categorized as having a recent experience of childbirth. The general characteristics of the study population were investigated using chi-square test. The association between the dependent and independent variables was analyzed using multivariate logistic regression analysis.

RESULTS

Of a total of 41,708 study participants, 16,877 (40.5%) individuals reported poor sleep quality. Poor sleep quality was more common in women with a recent experience of childbirth (48.4%) than those without (40.0%). Compared to individuals without a recent experience of childbirth, those with such an experience were more likely to show poor sleep quality (OR 1.50, 95% CI 1.34-1.68). Such differences were reduced in individuals with a healthy lifestyle.

CONCLUSION

Recent experience of childbirth was associated with higher likelihoods of poor sleep quality in women. The degree of risks found was reduced in individuals practicing a healthy lifestyle habit. The findings infer the need to monitor and address sleep-related disturbances commonly reported among postpartum women.

The Effects of COVID-19 Pandemic on Pregnant Women: Perceived Stress, Social Support and Sleep Quality

Background

This cross-sectional study aims to identify the relationship between perceived stress, social support and sleep quality and the effects of the COVID-19 pandemic on pregnant women's perceived stress, social support and sleep quality.

Methods

The target population of the study was pregnant women who applied to the Family Health Center. After the sample calculation was performed, the study involved 166 participants. The data, which were quantitative in nature, were collected through a web-based, online questionnaire administered within a determined period. Data collection tools included the Multidimensional Scale of Perceived Social Support (MSPSS), the Perceived Stress Scale (PSS), and the Pittsburgh Sleep Quality Index (PSQI).

Results

Of all the participating pregnant women, 88% reported to have poor sleep quality during the COVID-19 pandemic. A moderate, negative relationship was found between the Pittsburgh Sleep Quality Index and the Multidimensional Scale of Perceived Social Support and a weak, positive relationship with the Perceived Stress Scale. While statistically significant differences were found between the pregnant women's perceived stress according to their psychological perceptions and perceptions about daily life (P < 0.05), no significant differences were found between the perceived social support level and sleep quality index.

Conclusion

It was considered that pregnant women's perceived social support levels, sleep quality, and perceived stress levels were affected during the COVID-19 pandemic.

Influence of family resources on secondhand smoking in pregnant women: a cross-sectional study in the border and minority urban areas of Northwest China

BACKGROUND

Pregnant women's exposure to secondhand smoke is a very serious health issue in China. The purpose of our research is to identify factors that predict the probability of exposure to secondhand smoke among pregnant women from the perspective of a family-based open system.

METHODS

From September 2014 to August 2015, Urumqi City, Shihezi City, and Shawan County-level City were sampled according to population characteristics. A revised structured questionnaire based on family resources was adapted for use in this study. Questionnaires were collected via convenience sampling at the hospitals with the largest number of local antenatal clients. A total of 1249 pregnant women of age 18-51 years were investigated. Descriptive statistics were calculated to characterize the participants and study variables. Binary logistic regression was performed to assess the impact of family resources corresponding variables on the likelihood that participants would be exposed to SHS. Both unadjusted and adjusted odds ratios (OR/AOR) [with 95% confidence intervals (CI)] were reported.

RESULTS

The secondhand smoke exposure rate found in this study was 54.6%. Having good knowledge of the dangers of secondhand smoke had no effect on reducing the prevalence of exposure (P > 0.05). Even pregnant women whose husbands who did not use tobacco or never smoked nearby had a risk of exposure to secondhand smoke [adjusted odds ratio (AOR) 1.568, 95% CI 1.205-2.041] when the data were adjusted for age, gravidity, gestational weeks, knowledge of the dangers of secondhand smoke, location, and work status. Home smoking bans were confirmed to be an important protective factor (AOR 1.710, 95% CI 1.549-1.918); however, only one-third (33.5%) of participants reported having a smoking ban at home. Religion (mainly Islam), as a special external family resource, was a protective factor that reduced secondhand smoke exposure in pregnant women (AOR 0.399, 95% CI 0.312-0.510).

CONCLUSIONS

The effect of family resources on tobacco control should be considered in the development of effective and enduring strategies for indoor smoking bans and smoking cessation.

Factors associated with sleep quality among "left-behind women" in rural China: a cross-sectional study

OBJECTIVE

The present study aimed to assess the sleep quality of left-behind women in rural China and exploring the factors associated with sleep quality among rural women.

METHODS

A cross-sectional survey was conducted in Liaoning province, China. A total of 1591 participants were investigated. The sleep quality of rural women was measured by the Pittsburgh Sleep Quality Index scale (PSQI). The data collected included sociodemographic together with psychological factors including depression (CES-D), loneliness (UCLA), social support (PSSS), and resilience (CD-RISC).

RESULTS

The total prevalence rate of poor sleep quality for all participants was 34.54%, the detection rate of poor sleep quality in left-behind women was 51.6%, while it was only 24.3% in nonleft-behind women. The binary logistic regression indicated that the state of left behind was definitely a risk factor for sleep quality. In addition, physical exercise, social support, and resilience had significantly protective effects on sleep quality. Labor pressure, raising children, life events, depression, and loneliness served as risk factors were related to sleep quality.

CONCLUSION

The general sleep quality of rural left-behind women was not promising in rural China. Urgent attention should be payed to sleep quality of left-behind women. It is very necessary to promote sleep quality of left-behind women by developing public service and mental health system and to provide psychological intervention for those with poor mental health to promote the development of physical and mental health ultimately.

The association between exposure to second-hand smoke and sleep disturbances: A systematic review and meta-analysis

OBJECTIVE

To investigate the association between second-hand smoke (SHS) exposure and sleep disturbances by systematically reviewing the literature base and to quantify this association by conducting a meta-analysis.

METHOD

We did a systematic search of five databases- PubMed, Embase, CINAHL Plus, Web of Science - Core Collection, and Google Scholar. The primary outcomes were short sleep duration (SSD), poor sleep quality (PSQ), and excessive daytime sleepiness (EDS).

RESULT

Our systematic search yielded a total of 1623 studies. However, 12 studies qualified for qualitative synthesis and 11 studies (12 surveys) with adequate information were included in the meta-analysis involving 730,808 participants. All the studies were cross-sectional. We found an association between SHS exposure and SSD [pooled OR: 1.20 (95% CI, 1.09-1.33; p = 0.0003; I²= 68%), N = 7]; EDS [pooled OR: 1.07 (95% CI, 1.01-1.13; p = 0.02; I² = 0%), N = 4]; and PSQ [pooled OR: 1.12 (95% CI, 1.01-1.23; p = 0.03; I² = 79%), N = 10]. Subgroup analyses suggest significant association between SHS exposure and PSQ among adolescents. However, no such association was observed among adults. In addition, no significant association was observed between PSQ and SHS exposure when biomarker was used to identify SHS exposure.

CONCLUSION

This study is the first systematic review and meta-analysis to examine the association between SHS exposure and sleep outcomes. Self-reported exposure to SHS is positively associated with SSD, EDS, and PSQ, although the effects are modest. Further studies with robust methodology to ascertain exposure information are warranted to further elucidate the relationship between SHS exposure and sleep disturbances.

The effect of sleep impairment on gestational diabetes mellitus: a systematic review and meta-analysis of cohort studies

OBJECTIVE

This systematic review and meta-analysis evaluated the influence of sleep duration or impairment (poor sleep quality, snoring, and obstructive sleep apnea [OSA]) on gestational diabetes mellitus (GDM) risk.

METHODS

PubMed, Embase, EBSCO, and WOS databases were searched up to March 4th, 2019. Cohort studies were included and relative risk (RR) with 95% confidence interval (CI) were used as the measure of effects. Heterogeneity was assessed by the Chi-squared and I² tests. Subgroup analyses, sensitivity analysis, and dose-response analysis were performed. The overall quality of the evidence was assessed using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach.

RESULTS

A total of 16 studies with 2,551,017 pregnant women and 142,103 GDM cases were included in this study. Both short and long sleep duration were associated with increased risk of GDM. There was a U-shaped relationship between sleep duration and GDM risk (P_{-nonlinearity} < 0.001), and pregnant women with 8 h of sleep presented lower GDM risk. Poor sleep quality, snoring and OSA also increased the subsequent risk of GDM.

CONCLUSIONS

Pregnant women should be made aware of the benefits of proper sleep, and those with poor sleep quality, snoring, and OSA should be screened for GDM.

Association between adverse perinatal outcomes and sleep disturbances during pregnancy: a systematic review and meta-analysis

Background: Due to physiological and hormonal factors, sleep disturbances are prevalent in the obstetric population. Multiple studies have evaluated the relationship between sleep disturbances and perinatal outcomes, with inconsistent results. The purpose of this systematic review and meta-analysis was to further assess the overall relationship between four types of sleep disturbances (snoring, obstructive sleep apnea, extreme sleep duration, and poor sleep quality) and adverse perinatal outcomes.Methods: We performed electronic searches in PubMed, Embase, the Cochrane Library, CNKI, VIP, and Wanfang Data in February 2019 to identify studies that assessed adverse perinatal outcomes among expectant mothers with sleep disturbances.Results: In total, 5044 studies were identified in the initial search and 65 met the defined criteria. Pooled analysis showed that sleep disturbances were associated with an increased risk for preeclampsia (aOR: 2.77; 95% CI: 1.81-4.24), gestational diabetes mellitus (aOR: 1.96; 95% CI: 1.62-2.38), cesarean delivery (aOR: 1.99; 95% CI: 1.70-2.33), depression (aOR: 3.98; 95% CI: 2.74-5.77) and preterm birth (aOR: 1.95; 95% CI: 1.55-2.45).Conclusions: The four studied sleep disturbances (OSA, snoring, extreme sleep duration and poor sleep quality) during pregnancy were associated with adverse perinatal outcomes. Expectant mothers should be advised to practice healthy sleep hygiene measures.

Socioeconomic Status in Pregnant Women and Sleep Quality During Pregnancy

This review focuses on factors contributing to sleep quality among pregnant women with low socioeconomic statuses during the third trimester of their pregnancy. Electronic searches were conducted, following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. We searched for published, peer reviewed, English language primary research articles using electronic databases including PubMed, EMBASE, Ovid, MEDLINE and Google Scholar ending June 2019. All references were reviewed manually and independently by authors. After applying the inclusion criteria, 56 articles were selected; 38 of which are full-text and included in this review. All articles related to the analysis of poor sleep quality among uncomplicated pregnant women were included. Pregnant women with a specific pathology were excluded.

We found poor sleep quality among pregnant women is correlated with low socioeconomic levels. Pregnant women with lower incomes tend to have inadequate diets, which further complicates the health of the mother and the baby. External factors including low income, poor quality of life and poor diet tend to increase the possibility of future health complications in both mother and child, and can result in complications such as preterm labor, low birth weight, preeclampsia, perinatal death, and spontaneous abortion.

Association of active/passive smoking and urinary 1-hydroxypyrene with poor sleep quality: A cross-sectional survey among Chinese male enterprise workers

INTRODUCTION

Tobacco use has been implicated as an important factor for poor sleep quality. However, in most studies, the sleep quality of smokers was only assessed though a self-reported questionnaire, without measuring any internal biomarkers that reflect the levels of tobacco exposure. We examined the association of active and passive smoking with sleep quality, assessed smoking exposure using urinary 1-hydroxypyrene (1-HOP) as an internal biomarker, and further explored the relationship between 1-HOP and sleep quality.

METHODS

A cross-sectional survey was conducted in Liuzhou city, Guangxi, China. A total of 1787 male enterprise workers were enrolled. The smoking attribute data were collected by self-reported questionnaire, and individual sleep quality was evaluated through the Pittsburgh Sleep Quality Index (PSQI). The concentration of urinary 1-HOP was measured by high-performance liquid chromatography.

RESULTS

Compared with non-smoking, active smoking and passive smoking were significantly associated with long sleep latency (odds ratio, OR=1.84, 95% confidence interval, CI=1.28–2.64; 1.45, 1.00–2.11, respectively), short sleep duration (OR=2.72, 95% CI=1.45–5.09; 1.94, 1.01–3.71, respectively), daytime dysfunction (OR=1.54, 95% CI=1.10–2.17; 1.44, 1.02–2.03, respectively), and overall poor sleep quality with PSQI total score >5 (OR=1.41, 95% CI=1.05–1.88; 1.34, 1.00–1.79, respectively). Compared with non-smokers, active smokers had higher urinary 1-OHP concentrations that were significant (p=0.004), while passive smokers had no significant difference in urinary 1-OHP concentration (p=0.344). The high concentration group was significantly associated with daytime dysfunction and overall poor sleep quality with PSQI total score >5 (OR = 1.73, 95% CI=1.06–2.81; 1.76, 1.18–2.63, respectively).

CONCLUSIONS

Both active smoking and passive smoking are risk factors for poor sleep quality among Chinese male enterprise workers. Active smokers had significantly higher levels of urinary 1-OHP than non-smokers, and high concentration of 1-OHP was associated with daytime dysfunction and overall poor sleep quality.

Prolonged Screen Viewing Times and Sociodemographic Factors among Pregnant Women: A Cross-Sectional Survey in China

Objectives: This study aimed to assess the prevalence of prolonged television, computer, and mobile phone viewing times and examined related sociodemographic factors among Chinese pregnant women. Methods: In this study, a cross-sectional survey was implemented among 2400 Chinese pregnant women in 16 hospitals of 5 provinces from June to August in 2015, and the response rate of 97.76%. We excluded women with serious complications and cognitive disorders. The women were asked about their television, computer, and mobile phone viewing during pregnancy. Prolonged television watching or computer viewing was defined as spending more than two hours on television or computer viewing per day. Prolonged mobile phone viewing was watching more than one hour on mobile phone per day. Results: Among 2345 pregnant women, about 25.1% reported prolonged television viewing, 20.6% reported prolonged computer viewing, and 62.6% reported prolonged mobile phone viewing. Pregnant women with long mobile phone viewing times were likely have long TV (Estimate = 0.080, Standard Error (SE) = 0.016, p < 0.001) and computer viewing times (Estimate = 0.053, SE = 0.022, p = 0.015). Pregnant women with long TV (Estimate = 0.134, SE = 0.027, p < 0.001) and long computer viewing times (Estimate = 0.049, SE = 0.020, p = 0.015) were likely have long mobile phone viewing times. Pregnant women with long TV viewing times were less likely to have long computer viewing times (Estimate = -0.032, SE = 0.015, p = 0.035), and pregnant women with long computer viewing times were less likely have long TV viewing times (Estimate = -0.059, SE = 0.028, p = 0.035). Pregnant women in their second pregnancy had lower prolonged computer viewing times than those in their first pregnancy (Odds Ratio (OR) 0.56, 95% Confidence Interval (CI) 0.42-0.74). Pregnant women in their second pregnancy were more likely have longer prolonged mobile phone viewing times than those in their first pregnancy (OR 1.25, 95% CI 1.01-1.55). Conclusions: The high prevalence rate of prolonged TV, computer, and mobile phone viewing times was common for pregnant women in their first and second pregnancy. This study preliminarily explored the relationship between sociodemographic factors and prolonged screen time to provide some indication for future interventions related to decreasing screen-viewing times during pregnancy in China.

Prevalence and Determinants of Gestational Diabetes Mellitus: A Cross-Sectional Study in China

Objectives: This study aimed to identify the prevalence of gestational diabetes mellitus (GDM) and to examine its associations with social and behavioral factors, maternal body mass index (BMI), anemia, and hypertension. Methods: A cross-sectional analysis was performed on data collected from 2345 pregnant women from 16 hospitals in five selected provinces in mainland China.

RESULTS

Prevalence of GDM was as follows: overall: 3.7%; pregnant women in the first pregnancy: 3.4%; pregnant women in the second pregnancy: 4.6%. Compared with early pregnancy women, late-stage pregnant women were more likely to have GDM (OR = 4.32, 95% CI (1.82, 10.27)). Compared with 18-25 years old pregnant women, women aged 36-45 years were more likely to have GDM (OR = 3.98, 95% CI (1.41, 11.28). Compared with non-hypertensive patients, hypertensive patients were more likely to have GDM (OR = 6.93, 95% CI (1.28, 37.64)). However, second pregnancy, high maternal BMI, prolonged screen time (TV-viewing time, computer-using time, and mobile-phone using time), insufficient and excessive sleep duration, poor sleep quality, smoking, and secondhand smoke exposure were not significantly associated with an increased risk of GDM. Conclusions: Women in the second pregnancy do not appear to predict an increased risk for developing GDM than women in the first pregnancy. High-risk groups of GDM included women in their late pregnancy, aged 36-45 years old, and with hypertension. The findings will contribute to an improved understanding of social and behavioral determinants of GDM in Chinese population and contribute to the development of health-prevention promotion interventions to address GDM.