Objective sleep efficiency but not subjective sleep quality is associated with longitudinal risk of depression in pregnant women: A prospective observational cohort study

Effects of theory-guided unsupervised exercise on depression, sleep quality, and sense of control in pregnant women: A randomized controlled trial

BACKGROUND

Unsupervised exercise is beneficial for pregnant women, and ongoing exercise may affect the course of pregnancy. Therefore, promoting continued exercise among women is critical.

AIMS

To implement a home-based exercise program, guided by the COM-B model theory, and assess its effects on depression, sleep quality, and sense of control among pregnant women.

METHODS

Pregnant women (N = 100) were selected and randomly assigned in a 1:1 ratio to either the intervention or the control group. Both groups received exercise instruction. The intervention group received an additional intervention based on the COM-B model theory. Depression and sleep quality were evaluated at 28 and 35 weeks of gestation, while women's sense of control was assessed at 35 weeks of gestation.

RESULTS

In total, 91 participants completed the study, with 100 included in the intention-to-treat analysis. The intervention group showed improvement in depression at 28 and 35 weeks of gestation and in sleep quality at 35 weeks. Although there was no significant difference in the sense of control between the groups, the intervention group demonstrated better emotional control.

LINKING EVIDENCE TO ACTION

A theory-guided exercise intervention shows benefits in improving third-trimester depression, sleep quality, and emotional control. Therefore, exercise programs during pregnancy should consider to encompass capacities, opportunities, and motivations to encourage exercise behavior.

Variability in perinatal sleep quality is associated with an atypical cortisol awakening response and increased mood symptoms

OBJECTIVE

Pregnancy is often typified with a decrease in sleep quality, which for many women, progressively worsens across gestation and into the postpartum. A mechanism linking poor sleep with certain adverse pregnancy outcomes is dysregulation of the HPA axis resulting in atypically elevated cortisol production. While total cortisol output normally increases across pregnancy, the cortisol awakening response (CAR), a response to waking up, is influenced by factors such as stress and mood. It attenuates as pregnancy progresses, with normalization in the first weeks after delivery. The goals of the present study were to (1) assess the temporal relationship between sleep quality and cortisol indices across the perinatal period; (2) evaluate whether sleep quality was associated with postpartum mood; and (3) assess whether cortisol mediated these associations.

METHOD

Data were collected as part of the Healthy Babies Before Birth (HB3) study. Sleep quality, depressive and anxiety symptoms, and cortisol from four time-points (8-16 weeks gestation, 30-36 weeks gestation, 6 months postpartum, and 1-year postpartum) were assessed. Participants (N = 223) who had sleep quality (PSQI) and cortisol data from at least 1 of 4 time-points were included in analyses. Three salivary cortisol indices were calculated: cortisol awakening response (CAR), diurnal slope, and area under the curve (AUC). Multi-level models were run to predict cortisol parameters based on deviations and typical maternal sleep quality at each wave as well as mood outcomes.

RESULTS

Multilevel (time, wave, and person) modeling indicated that sleep quality was not associated with any of the cortisol indices, and none significantly varied across time. However, when PSQI scores were higher than the woman's own mean sleep quality, the CAR slope was steeper (+1 point in PSQI, γ=0.18), and when PSQI scores were lower than mean, the CAR slope was flatter (-1 point, γ=0.11). Poorer sleep quality was associated with greater depression severity (γ = 0.367) and anxiety symptoms (γ = 0.120). Cortisol did not mediate the relationship between sleep quality and depression symptoms.

DISCUSSION

Increases in PSQI scores, but not higher mean PSQI scores, were associated with a larger CAR. There was no association between sleep quality and the diurnal slope or AUC. These data suggest that variability in sleep quality is significantly associated with the amount of cortisol secreted upon awakening.

Move more today, sleep better tonight? Daily associations between physical activity and sedentary behavior with sleep among young adults with and without insomnia symptoms

OBJECTIVE

At the between-person level, it is well-documented that individuals with more physical activity (PA) and less sedentary behavior (SB) tend to have better sleep outcomes than their peers. However, the associations at the within-person level remain unclear. This study investigated the daily associations between PA and SB with nighttime sleep among young adults with and without insomnia symptoms.

METHODS

Data was collected through activity trackers and online questionnaires for 7 consecutive days among 147 university students, including time spent on moderate to vigorous physical activity (MVPA), light physical activity (LPA), and SB, along with sleep duration, sleep efficiency, and sleep quality. Participants were classified into two subgroups according to the presence of insomnia symptoms, which were determined by a self-reported insomnia scale. Multilevel compositional data analysis was conducted on the total sample, and separately on subsamples characterized by the presence and absence of insomnia symptoms.

RESULTS

In the total sample and subsample without insomnia symptoms, substitutions among MVPA, LPA, and SB were not associated with changes in sleep outcomes at the daily level. However, in the subsample with insomnia symptoms, days with more MVPA or SB and less LPA were associated with higher sleep efficiency, while days with more LPA at the expense of MVPA or SB were associated with lower sleep efficiency.

CONCLUSIONS

For young adults with insomnia symptoms, replacing LPA with MVPA on a given day may improve their sleep efficiency that night.

Non-invasive neurostimulation to improve sleep quality and depressive symptoms in patients with major depressive disorder: A meta-analysis of randomized controlled trials

BACKGROUND

Non-invasive neurostimulation, including bright light therapy (BLT), repetitive transcranial magnetic (rTMS) and transcranial direct current stimulation (tDCS), has been shown to alleviate depressive symptoms in major depressive disorder (MDD). However, the efficacy of these interventions in addressing sleep disturbances in MDD patients remains a subject of debate.

OBJECTIVE

We aimed to conduct a meta-analysis of available randomized controlled trials (RCTs) to assess the effectiveness of non-invasive neurostimulation in improving sleep disturbances and depressive symptoms in MDD patients.

METHODS

Systematic searches for relevant RCTs were conducted in the databases PubMed, Cochrane Library, Web of Science, EMBASE, Wanfang and China National Knowledge Infrastructure up to January 2024. Data on outcomes comparable across the studies were meta-analyzed using Review Manager 5.3 and Stata 14. The pooled results were reported as standardized mean differences (SMD) with their respective 95% confidence intervals (CI).

RESULTS

Our analysis encompassed 15 RCTs involving 1348 patients. Compared to sham or no stimulation, non-invasive neurostimulation significantly improved sleep quality (SMD -0.74, 95%CI -1.15 to -0.33, p = 0.0004) and sleep efficiency (SMD 0.35, 95%CI 0.10 to 0.60, p = 0.006). It also significantly reduced severity of depressive symptoms (SMD -0.62, 95%CI -0.90 to -0.35, p < 0.00001). Subgroup analysis further demonstrated that patients experiencing sleep improvements due to neurostimulation showed a marked decrease in depressive symptoms compared to the control group (SMD = -0.90, 95% CI [-1.26, -0.54], p < 0.0001).

CONCLUSION

Current evidence from RCTs suggests that neurostimulation can enhance sleep quality and efficiency in individuals with MDD, which in turn may be associated with mitigation of depressive symptoms.

PROSPERO REGISTRATION

CRD42023423844.

Testing the reciprocal relationship between depressive symptoms and insomnia

BACKGROUND

Although the importance of sleep difficulties in emotional disorders has long been acknowledged, the nature of the potential reciprocal relationship between sleep and depressive symptoms is not yet well understood. The coronavirus disease 19 pandemic provided a unique opportunity to study the interrelation of these symptoms over a period marked by increases in sleep and psychological difficulties.

METHODS

Using online data collection, we followed 1200 adults (59% male) through 1 year of the pandemic. Measures of sleep disturbance and depressive symptoms were assessed at eight time points. Factor analysis of the items from these two measures suggested separate insomnia and depressive symptom factors. A random intercept cross-lagged panel model was used to assess within-person relationships between factor analysis-informed subscales of insomnia and depressive symptoms.

RESULTS

Depressive symptoms predicted subsequent changes in insomnia symptoms; however, insomnia did not predict changes in depressive symptoms.

CONCLUSIONS

Our findings suggest the impact of depressive symptoms on insomnia is evident, but the reverse is not. Implications of this finding along with the need for research addressing depressive symptoms and insomnia as treatment targets are discussed.

Familial risk for depression is associated with reduced physical activity in young adults: evidence from a wrist-worn actigraphy study

Depression is characterized by reduced physical activity and sleep-wake cycle disturbances, often considered important features of the disease. While a few studies have suggested that self-reported reduced physical activity and sleep-wake cycle disturbances might both be linked to depression vulnerability, actigraphy-based measures in vulnerable samples remain largely unexplored. This study relied on actigraphy-based parameters to test whether these disturbances characterize depression vulnerability. Seven-day actigraphy data were collected from 20 (13 female) university students with a high vulnerability to depression, which was determined by the presence of a family history of the condition but no current symptoms, and 32 (21 female) controls with neither a family history of depression nor current depressive symptoms. Daily physical activity, namely gross motor activity, was quantified as average daily acceleration and time spent engaging in moderate-vigorous physical activity (MVPA). The sleep-wake cycle and circadian rhythms were assessed as total sleep duration per night (in hours), sleep within sleep period time (in hours), sleep efficiency (%), and relative amplitude (i.e., the difference between the activity during the day and the night, which reflects circadian rhythms amplitude). Results showed that individuals with a familial risk for depression exhibited reduced daily acceleration and time spent in MVPA relative to the control group, particularly on the weekend during their free time away from scheduled activities. On the other hand, the two groups were comparable in terms of sleep estimates. Taken together, reduced physical activity, but not sleep-wake disturbances, seem to be associated with vulnerability to depression and might be a viable target for identification and prevention efforts.

Effects of mind-body exercise on perimenopausal and postmenopausal women: a systematic review and meta-analysis

IMPORTANCE

The increasing attention to the management of perimenopausal and postmenopausal women parallels the growth of the aging population. Although hormone therapy is commonly used to alleviate menopausal symptoms, it carries a potential risk of cancer. Recently, mind-body exercises have emerged as innovative approaches for improving menopausal symptoms and bone health. However, research findings have needed to be more consistent, highlighting the significance of this study's systematic review of mind-body exercise effects on perimenopausal and postmenopausal women.

OBJECTIVE

This study aims to evaluate the impact of mind-body exercises, including tai chi, yoga, Pilates, qigong, baduanjin, and mindfulness-based stress reduction, on bone mineral density, sleep quality, anxiety, depression, and fatigue among perimenopausal and postmenopausal women.

EVIDENCE REVIEW

Four electronic databases-PubMed, Embase, Cochrane Central Register of Controlled Trials, and Web of Science-were systematically searched from inception until July 2023. The search focused exclusively on randomized controlled trials to examine the impact of mind-body exercise interventions on perimenopausal and postmenopausal women. The methodological quality of the included studies was evaluated using the Cochrane Bias Risk Assessment tool.

FINDINGS

A total of 11 randomized controlled trials, comprising 1,005 participants, were included in the analysis. Traditional meta-analysis indicated that mind-body exercise significantly enhanced bone mineral density in perimenopausal and postmenopausal women compared with control groups, with a standardized mean difference (SMD) of 0.41 (95% CI, 0.17 to 0.66; P = 0.001, I2 = 7%). In addition, significant improvements were observed in sleep quality (SMD, -0.48; 95% CI, -0.78 to -0.17; P = 0.002, I2 = 76%), anxiety reduction (SMD, -0.80; 95% CI, -1.23 to -0.38; P = 0.0002, I2 = 84%), depressive mood (SMD, -0.80; 95% CI, -1.17 to -0.44; P < 0.0001, I2 = 79%), and fatigue (SMD, -0.67; 95% CI, -0.97 to -0.37; P < 0.0001, I2 = 0%).

CONCLUSIONS AND RELEVANCE

The findings of this meta-analysis demonstrate that mind-body exercise positively influences bone mineral density, sleep quality, anxiety, depression, and fatigue among perimenopausal and postmenopausal women.

The Mediating Role of Family Functions Between Pregnancy-Related Anxiety and Sleep Quality: A Cross-Sectional Study

Objective

To examine the relationship between pregnancy-related anxiety, family functions, and sleep quality, and to determine whether family functions mediate the relationship between pregnancy-related anxiety and sleep quality.

Methods

A cross-sectional survey was conducted on pregnant women between April to August in 2022 in the obstetrics outpatient clinic of a tertiary care hospital in the Ningxia Hui Autonomous Region of China. A total of 1014 pregnant women aged 18 years and older were surveyed. They completed questionnaires, including: general demographic characteristics, the Pregnancy-related anxiety scale (PAQ), the Family Adaptation, Partnership, Growth, Affection, and Resolve (APGAR), and the Pittsburgh Sleep Quality Index Questionnaire (PSQI). Model 4 in PROCESS was used to analyze the relationships among pregnancy-related anxiety, family functions, and sleep quality, with family functions as a mediator.

Results

Among the 1014 pregnant women, the pregnancy-related anxiety scale score was (21.84 ± 5.64). The total score of the family functions scale was (8.10±2.26), and the overall sleep quality scale score was (7.89±2.99). When participants were grouped according to different socio-demographic characteristics, the study showed that all variables differed from anxiety, family functions or sleep quality, except for age, pre-pregnancy BMI and whether or not they had a first birth, which was not associated with anxiety, family functions, or sleep quality (P<0.05). The pregnancy-related anxiety was positively associated with sleep quality (P<0.01), while family functions were negatively associated with sleep quality (P<0.01). In addition, family functions mediate the relationship between pregnancy-related anxiety and sleep quality during pregnancy, on the first and second trimesters, intermediation rate is 9.31% (P<0.05), and on the third trimesters, intermediation rate is 21.38% (P<0.05).

Conclusion

Pregnancy- related anxiety is a risk factor for sleep quality, however, family functions are protective factors for sleep quality. Family functions play an intermediary role in sleep quality caused by pregnancy-related anxiety, especially on the third trimesters. This finding may provide a scientific basis for developing intervention strategies to improve the sleep quality of pregnant women.

Circadian rhythm and sleep disruptions in relation to prenatal stress and depression symptoms

Circadian rhythm and sleep are related to health, but there is little data on the relationship between the sleep/wake rhythm and mood at different stages of pregnancy. The aim of this prospective, longitudinal study was to investigate the associations of circadian rhythm and sleep disruptions with stress and depression among women in early and late pregnancy. The participants were 26 pregnant women. Objective and subjective estimations of circadian rhythm and sleep were administered, namely actigraphy and the Biological Rhythms Interview of Assessment in Neuropsychiatry in the form of a questionnaire. The Perceived Stress Scale and the Edinburgh Postnatal Depression Scale were also used. Subjectively perceived circadian rhythm disruptions were positively related to stress. Tendency to maintain a regular rhythm of sleep and activity in early pregnancy and subjectively perceived disruptions of circadian rhythms in late pregnancy were positively associated with prenatal depression in late pregnancy. Sleep fragmentation and long time spent in bed at night in early pregnancy were positively associated with stress and depression in late pregnancy. The results suggest the importance of flexibility and the ability to adapt one's circadian activities to the demands of the situation of pregnancy-related changes in lifestyle. They also indicate the significance of good-quality uninterrupted night sleep in early pregnancy.

Physical Activity, Sedentary and Sleep Phenotypes in Women During the First Trimester of Pregnancy

OBJECTIVES

Patterns of physical behaviors including physical activity, sedentary time, and sleep are unknown during pregnancy, but are likely to influence health outcomes. The purpose was to first identify "physical behavior phenotypes" from accelerometer-measured physical behaviors in pregnant women during the first trimester and secondly, to explore the associations between the identified phenotypes with demographic variables and body-mass-index (BMI).

METHODS

Data were from the Glowing Study (gov ID: NCT01131117), collected between 2011 and 2017 with accelerometer-measured physical behaviors of women in their 12th week of pregnancy. Latent class analysis was used to identify patterns of total physical activity, sleep time, sedentary time, and variation in physical activity. Maternal Body-Mass-Index (BMI). BMI and sociodemographic characteristics were compared between physical behavior phenotypes.

RESULTS

A total of 212 pregnant women were included in the study (mean age 30.2 years (range 22.1 to 42.4), mean days wear 4.3 (SD 0.7)). Three physical behavior phenotypes were identified from the four physical behavior constructs: low sedentary and stable activity (n = 136, 64%), variable activity (n = 39, 18%), high sedentary and low sleep (n = 37, 17%). BMI, race, and education were significantly different between the three phenotypes, with the low sedentary and stable activity phenotype having the lowest BMI and a higher percentage of white and college educated women.

CONCLUSIONS FOR PRACTICE

Total physical activity and physical behavior phenotypes during the first trimester were associated with early-pregnancy BMI, race, and education. Future research should examine whether these physical behavior phenotypes are associated with maternal and child health outcomes.

The effect of exercise intervention on improving sleep in menopausal women: a systematic review and meta-analysis

Background

Sleep disturbance is common in menopausal women and negatively affects their quality of life and could cause increased risks of other menopause-related diseases.

Objective

This systematic review aims to synthesize evidence regarding the effects of exercise interventions on improving sleep in menopausal women.

Methods

A comprehensive search in seven electronic databases for randomized controlled trials (RCTs) was performed on June 3, 2022. The systematic review included seventeen trials, ten of which provided data for the meta-analysis. The effects on outcomes were presented as mean differences (MDs) or standard mean differences (SMDs) and their 95% confidence intervals (CI). Cochrane risk-of-bias tool was used in quality assessment.

Results

The results suggest that exercise intervention significantly reduces insomnia severity (SMD = -0.91, 95% CI = -1.45 to -0.36, Z = 3.27, P = 0.001) and alleviates sleep problems (MD = -0.09, 95% CI = -0.17 to -0.01, Z = 2.20, P = 0.03). For sleep quality, the results showed that insignificant differences were found between the exercise intervention and the control groups (MD = -0.93, 95% CI = -2.73 to 0.87, Z = 1.01, P = 0.31). The results of the subgroup analysis indicated that more apparent effects of exercise intervention were found among women with sleep disorders than among women without sleep disorders. Which exercise intervention duration was more beneficial to sleep outcomes could not be judged. Overall, there was a moderate risk of bias in the primary studies.

Conclusion

According to this meta-analysis, exercise interventions can be recommended for menopausal women to improve their sleep. High-quality RCTs applying different types of exercise (e.g., walking, yoga, meditative exercise and so on) with different intervention durations as well as subjective and objective sleep assessment are warranted.

Systematic review registration

https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022342277, identifier: CRD42022342277.

Sleep Quality between Nurses and the General Population during the COVID-19 Pandemic in Portugal: What Are the Differences?

Although several studies have described the impact of the COVID-19 pandemic, particularly on sleep quality, there are few studies that, in the same time period and using the same assessment tools, compare sleep quality and mental health status between nurses and the general population. Thus, the aim of this study was to (a) examine whether there were differences between nurses and the general population regarding sleep quality and mental health status during the COVID-19 pandemic and (b) identify which factors may explain sleep quality during the COVID-19 pandemic. To do that, we carried out a cross-sectional study in Portugal. Data were collected using an online survey platform during the first COVID-19 wave, from April to August 2020. Nurses presented poorer sleep quality than the general population, as well as higher anxiety levels. Irritability and worries about the future were two of the factors that might explain those differences. Thus, we can conclude that irritability and worries about the future are dimensions of anxiety that were associated with poor sleep quality during the COVID-19 pandemic. Thus, it would be important to adopt regular anxiety and sleep assessments, particularly for nurses, and to implement strategies to reduce this problem.

Association between sleep disorders during pregnancy and risk of postpartum depression: a systematic review and meta-analysis

Sleep disorders are common among pregnant females. However, its association with postpartum depression (PPD) is unknown. We aimed to assess if sleep disorders during pregnancy increase the risk of PPD by a systematic review. The databases of PubMed, CENTRAL, ScienceDirect, Embase, and Google Scholar were searched for studies reporting the association between any type of sleep disorder during pregnancy and the risk of PPD. Effect sizes were pooled in a random-effects model. Sixteen studies with data of 12,614 women were included. Meta-analysis indicated that sleep disorders during pregnancy resulted in a statistically significant increased risk of PPD (OR: 2.36 95% CI: 1.72, 2.32). The overall result had high heterogeneity (I² = 84%). Sub-group analysis based on study location (Asian vs Western), sample size (> 500 vs < 500), depression scale, and PPD assessment time did not change the results. However, we found that only poor sleep quality but not insomnia was associated with PPD. The risk was also increased only with sleep disorders measured in the 3rd trimester but not for the 1st and 2nd trimesters. Evidence suggests that sleep disorders during pregnancy may increase risk of PPD. The risk is high for sleep disorders occurring in the 3rd trimester. Based on these findings, there is a need for thorough screening and subsequent corrective measures to ensure adequate and quality sleep among pregnant females.

Prevalence of exposure to benzodiazepines among pregnant women in Taiwan: A nationwide longitudinal study

Although more than one hundred studies have examined the prevalence of the use of benzodiazepines and benzodiazepine-like Z-hypnotics (BZDs) among pregnancy events, further analysis of the effects of dosage or type of BZDs is needed. The aim of this study was to examine the prevalence rate of BZDs use in pregnancy events, stratified by trimester over time, with characteristics of the dosage and type of BZDs. This is a retrospective population study based on linking three national databases. We examined the prevalence rates from 2004 to 2017, and contrasted the results based on >0 defined daily dose (DDD) and ≥0.5 DDD. We identified 2,630,944 pregnancy events with live births; 89,897 (3.4%) of the associated pregnancy events had used some form of BZD during pregnancy. The prevalence of BZDs use, as defined by >0 DDD, decreased from 4.1% in 2004 to 2.9% in 2017, indicating a decrease in sporadic use and an increase in stable use within therapeutic doses. Meanwhile, BZDs use defined by ≥0.5 DDD increased from 0.1% in 2004 to 0.4% in 2017. Zolpidem was the most frequently prescribed BZDs, as defined by >0 DDD or ≥0.5 DDD. This national cohort study demonstrates the importance of average dosage in the definition of BZDs use in pregnancy events, and it found opposite trends in the prevalence of use between different dosages.

Patterns of sleep disturbances and associations with depressive symptoms in autistic young adults

Autistic individuals are at an increased risk for both sleep disturbances and depression. While studies in the general population and in autistic adults have drawn general links between sleep disturbances and mental health, few studies have examined the extent to which specific sleep problems may be implicated in the extremely high rates of depression among autistic adults. This study aimed to describe the patterns of sleep disturbances in autistic young adults, and their associations with depressive symptoms while controlling for relevant demographic factors. A sample of 304 legally independent adults (age 18-35 years old) with a childhood diagnosis of autism spectrum disorder self-reported on their average sleep behaviors during the past week and depressive symptoms on the Beck Depressive Inventory-II. A significant proportion (86.01%) of autistic young adults experienced at least one of the primary sleep disturbances of interest, including short total sleep time (39.59%), poor sleep efficiency (60.07%), and delayed sleep phase (36.18%). Additionally, lower sleep efficiency and delayed sleep phase were both associated with higher depressive symptoms. The associations between sleep and depressive symptoms identified in our study suggest that sleep treatments may hold potential for ameliorating depressive symptoms in autistic adults who also experience sleep problems. Further research using daily sleep diaries and objective measures of sleep behaviors, as well as longitudinal studies, are needed to understand how changes in sleep may relate to changes in depressive symptoms in autistic adults.

Integrated Proteomics and Metabolomics Analysis in Pregnant Rat Hippocampus After Circadian Rhythm Inversion

To investigate the changes in proteins, metabolites, and related mechanisms in the hypothalamus of pregnant rats after circadian rhythm inversion during the whole pregnancy cycle. A total of 12 Wistar female rats aged 7 weeks were randomly divided into control (six rats) and experimental (six rats) groups at the beginning of pregnancy. The control group followed a 12-h light and dark cycle (6 a.m. to 6 p.m. light, 6 p.m. to 6 a.m. dark the next day), and the experimental group followed a completely inverted circadian rhythm (6 p.m. to 6 a.m. light the next day, 6 a.m. to 6 p.m. dark). Postpartum data were collected until 7–24 h after delivery, and hypothalamus samples were collected in two groups for quantitative proteomic and metabolism analyses. The differential proteins and metabolites of the two groups were screened by univariate combined with multivariate statistical analyses, and the differential proteins and metabolites enriched pathways were annotated with relevant databases to analyze the potential mechanisms after circadian rhythm inversion. A comparison of postpartum data showed that circadian rhythm inversion can affect the number of offspring and the average weight of offspring in pregnant rats. Compared with the control group, the expression of 20 proteins and 37 metabolites was significantly changed in the experimental group. The integrated analysis between proteins and metabolites found that RGD1562758 and lysophosphatidylcholine acyltransferase 1 (LPCAT1) proteins were closely associated with carbon metabolism (choline, NAD+, L-glutamine, theobromine, D-fructose, and pyruvate) and glycerophospholipid metabolism (choline, NAD+, L-glutamine, phosphatidylcholine, theobromine, D-fructose, pyruvate, and arachidonate). Moreover, the Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis showed that the differential metabolites enriched in adenosine triphosphate (ATP)–binding cassette (ABC) transporters. Our study suggested that circadian rhythm inversion in pregnant rats may affect the numbers, the average weight of offspring, and the expressions of proteins and metabolism in the hypothalamus, which may provide a comprehensive overview of the molecular profile of circadian rhythm inversion in pregnant groups.

Associated factors of depression in pregnant women in Korea based on the 2019 Korean Community Health Survey: a cross-sectional study

Purpose

Various individual and social factors influence depression in pregnant women. The purpose of this study was to identify the influence of socioeconomic status, health behaviors, and health status on depression of pregnant women in Korea.

Methods

This study analyzed data from the 2019 Korean Community Health Survey conducted from August to October 2019. A structural questionnaire with Patient Health Quetsionnaire-9 (PHQ-9), health behavior, health status, and psychological characteristics was used. The data of 1,096 pregnant women between the ages of 19 and 55 years were analyzed using descriptive statistics, independent-test and chi-square tests, and multiple regression.

Results

The mean score of prenatal depression as measured by the PHQ-9 during pregnancy was 2.35 points out of 0 to 27 points. Low income (B=0.69, p<.001), low-education level (B=0.70, p<.001), skipping breakfast (B=0.34, p=.001), less than 8 hours of sleeping (B=0.26, p=.009), binge drinking during pregnancy (B=0.46, p=.001), and stress (B=1.89, p<.001) were significantly associated with increased depression scores. In contrast, depression scores significantly decreased as subjective health status (B=-0.59, p<.001) and subjective oral health status (B=-.17, p=.003) increased.

Conclusion

Findings support the need for healthcare policies and clinical screening to alleviate prenatal depression, especially for pregnant women with low socioeconomic status, poor health behavior, poor health status, and high stress.

Association between sleep disturbance and mental health of healthcare workers: A systematic review and meta-analysis

OBJECTIVES

Sleep disturbance and mental health are challenges for healthcare workers (HCWs). Especially during the COVID-19 pandemic, they experienced more severe sleep and mental health problems. However, the association between sleep disturbance and the mental health of HCWs is still controversial. This study aimed to systematically review the relationship by conducting a systematic review and meta-analysis.

METHOD

Two researchers retrieved the literature from Web of Science, PubMed, EMBASE, CINAHL, Psyclnfo, and Cochrane Library from the establishment of the databases until November 20, 2021. We used the New Castle-Ottawa Scale (NOS) and Agency for Healthcare Research and Quality (AHRQ) to evaluate the risk of bias in prospective research and cross-sectional research, respectively. The major exposure was HCWs' sleep disturbance, and the major outcome was mental health. The correlation coefficients (r), regression coefficients (β) and odds ratios (OR) of the included studies were integrated.

RESULT

Fifty-nine studies were included for qualitative analysis, of which 30 studies could be combined and entered into quantitative analysis. There were 23 studies during the COVID-19 pandemic among the 59 included studies. The results of the meta-analysis showed that the correlation coefficient between sleep disturbance and mental health was 0.43 (95% CI: 0.39-0.47). HCWs with sleep disturbance had a 3.74 (95% CI: 2.76-5.07) times higher risk of mental health problems than those without sleep disturbance. The correlation coefficient during the COVID-19 epidemic was 0.45 (95% CI: 0.37-0.53), while it was 0.40 (95% CI: 0.36-0.44) during the non-epidemic period. Subgroup analysis compared the OR results in epidemic and non-epidemic periods of COVID-19, which were 4.48 (95% CI: 2.75-5.07) and 3.74 (95% CI: 2.74-7.32), respectively.

CONCLUSION

Sleep disturbance and mental health problems were positively correlated among HCWs. Particularly in the COVID-19 pandemic, more attention should be given to this issue.