Insomnia, postpartum depression and estradiol in women after delivery

Depression, anxiety, insomnia and interleukins in the early postpartum period

Background

Some new mothers have been shown to suffer from anxiety and depression associated with insomnia during the postpartum period. Our study assessed the impact of demographic, psychopathological, and biochemical factors on the incidence of depression in women during the early postpartum period.

Methods

A total of 119 women were evaluated at 24-48 h postpartum with the following psychometric scales: Hamilton Depression Rating Scale (HDRS), Edinburgh Postnatal Depression Scale (EPDS), Hamilton Anxiety Rating Scale (HARS) and Athens Insomnia Scale (AIS). In addition, blood was drawn to assay interleukin 6 (IL-6) and interleukin 10 (IL-10).

Results

The factors that had the greatest impact on the risk of postpartum depression detected with the HDRS were high HARS scores and evidence of insomnia in the AIS. There were no significant differences in IL-6 or IL-10 levels in women with and without depression (based on either HDRS or EPDS scores) and insomnia (based on AIS) after childbirth. Considering demographic factors, divorced and single women were shown to be at higher risk of postpartum depression (based on EPDS scores).

Limitations

Small sample size and short observation span.

Conclusion

This study highlights the relationship between postpartum depression and both anxiety and insomnia and emphasises the importance to assess symptoms of anxiety and sleep quality as part of screening in women at risk of postpartum depression.

Nutritional factors and cross-national postpartum depression prevalence: an updated meta-analysis and meta-regression of 412 studies from 46 countries

Background

Postpartum depression (PPD) is the most common complication associated with childbirth and can lead to adverse outcomes for both mothers and their children. A previous meta-analysis found that PPD prevalence varies widely across countries. One potential underexplored contributor to this cross-national variation in PPD is diet, which contributes to mental health and varies significantly around the world. Here, we sought to update the global and national estimates of PPD prevalence using systematic review and meta-analysis. Further, we examined whether cross-national variation in PPD prevalence is associated with cross-national variation in diet using meta-regression.

Methods

To estimate national rates of PPD prevalence, we conducted an updated systematic review of all papers reporting PPD prevalence using the Edinburgh Postnatal Depression Scale between 2016-2021 and combined our findings with a previous meta-analysis of articles published between 1985-2015. PPD prevalence and methods were extracted from each study. Random effects meta-analysis was used to estimate global and national PPD prevalence. To examine dietary predictors, we extracted data on sugar-sweetened beverage, fruit, vegetable, total fiber, yogurt, and seafood consumption from the Global Dietary Database. Random effects meta-regression was used to test whether between-country and within-country variation in dietary factors predicted variation in PPD prevalence, controlling for economic and methodological variables.

Results

412 studies of 792,055 women from 46 countries were identified. The global pooled prevalence of PPD was 19.18% (95% confidence interval: 18.02 to 20.34%), ranging from 3% in Singapore to 44% in South Africa. Countries that consumed more sugar-sweetened beverages (SSBs) had higher rates of PPD (Coef. = 0.325, p = 0.044, CI:0.010-0.680); Moreover, in years when higher rates of sugar-sweetened beverages were consumed in a country, there were correspondingly higher rates of PPD in that country (Coef. = 0.129, p = 0.026, CI: 0.016-0.242).

Conclusion

The global prevalence of PPD is greater than previous calculations, and drastically varies by country. Sugar-sweetened beverage consumption explained some of the national variation in PPD prevalence.

Effects of family relationship and social support on the mental health of Chinese postpartum women

Background

Numerous studies suggest that interpersonal relationships and social support influence the development of postpartum depression and sleep quality for women. However, the effect of support from the husband or the mother-in-law has not been thoroughly validated. The current study examined the relative contribution of marital satisfaction, perceived caring of the mother-in-law, and social support on postpartum depression and sleep quality simultaneously in a path model.

Methods

A cross-sectional study was conducted from March to June 2017 in Hebei, China, using a self-report questionnaire. A total of 817 women participated at 6 weeks postpartum. Sociodemographics and information about marital satisfaction, perceived caring of the mother-in-law, social support, postpartum depression, and sleep were collected. Path analysis was used to analyze the cross-sectional data.

Results

The final model had a highly satisfactory fit. Marital satisfaction and perceived caring of mother-in-law had both direct and indirect effects on postpartum depression through social support, but these two variables had only an indirect effect on sleep quality through social support and postpartum depression. Sleep quality is a consequence of postpartum depression at 6 weeks after delivery. The prevalence of minor and major postpartum depressive symptoms at 6 weeks postpartum was 41.49 and 23.13%, respectively. A total of 371 (45.41%) women experienced sleep disturbance at 6 weeks postpartum.

Conclusions

These findings suggest that interpersonal relationships with family members play important roles in postpartum depression and sleep quality through social support in Chinese women. Improving the relationship between new mothers and their husbands or mothers-in-law and then enhancing social support might reduce postpartum depression and sleep disturbance.

A systematic review of patient-reported outcome measures used to assess sleep in postpartum women using Consensus Based Standards for the Selection of Health Measurement Instruments (COSMIN) guidelines

STUDY OBJECTIVES

We performed a systematic review to identify the best patient-reported outcome measure (PROM) of postpartum sleep in women.

METHODS

We searched 4 databases for validated PROMs used to assess postpartum sleep. Studies were considered if they evaluated at least 1 psychometric measurement property of a PROM. An overall rating was assigned for each psychometric measurement property of each PROM based upon COSMIN criteria. A modified GRADE approach was used to assess the level of evidence and recommendations were then made for each PROM.

RESULTS

We identified 15 validation studies of 8 PROMs, in 9,070 postpartum women. An adequate number of sleep domains was assessed by 5 PROMs: Bergen Insomnia Scale (BIS), Pittsburgh Sleep Quality Index (PSQI), General Sleep Disturbance Scale (GSDS), Athens Insomnia Scale (AIS) and the Sleep Symptom Checklist (SSC). BIS and GSDS were the only PROMs to demonstrate adequate content validity and at least a low level of evidence of sufficient internal consistency, resulting in Class A recommendations. The BIS was the only PROM, which is easily accessible and free to use for non-commercial research, that achieved a Class A recommendation.

CONCLUSION

The BIS is the best currently available PROM of postpartum sleep. However, this PROM fails to assess several important domains such as sleep duration (and efficiency), chronotype, sleep-disordered breathing and medication usage. Future studies should focus on evaluating the psychometric measurement properties of BIS in the North American setting and in different cultural groups, or to develop a more specific PROM of postpartum sleep.

The Evolutionarily Mismatched Impact of Urbanization on Insomnia Symptoms: a Short Review of the Recent Literature

PURPOSE OF REVIEW

For the most part of human existence, individuals have been living a rural lifestyle in a rural setting. However, such sleep-conducive conditions have largely been transformed dramatically by urbanization within a relatively short span of time in recent history, and the resulting evolved mechanisms-environment mismatch is theorized to bring about an increased risk for insomnia symptoms. This brief review of the recent literature is designed to evaluate the veracity of this proposition.

RECENT FINDINGS

The majority of recent findings have suggested that most proposed evolutionarily mismatched urban factors are indeed related to the presence of insomnia symptoms. However, there is a general paucity of longitudinal evidence (and for some other factors, a lack of enough evidence of any kind). Although there is a preponderance of recent findings indicating a link between evolutionarily mismatched urban phenomena and insomnia symptoms, more longitudinal data are needed before any causative conclusion can be drawn.

Perinatal Insomnia and Mental Health: a Review of Recent Literature

PURPOSE OF REVIEW

The perinatal period is a time of high risk for insomnia and mental health conditions. The purpose of this review is to critically examine the most recent literature on perinatal insomnia, focusing on unique features of this period which may confer specific risk, associations with depression and anxiety, and emerging work on perinatal insomnia treatment.

RECENT FINDINGS

A majority of perinatal women experience insomnia, which may persist for years, and is associated with depression and anxiety. Novel risk factors include personality characteristics, nocturnal perinatal-focused rumination, and obesity. Mindfulness and physical activity may be protective. Cognitive-behavioral therapy for insomnia is an effective treatment. Perinatal insomnia is exceedingly common, perhaps due to factors unique to this period. Although closely linked to perinatal mental health, more work is needed to establish causality. Future work is also needed to establish the role of racial disparities, tailor treatments, and determine whether insomnia treatment improves perinatal mental health.

The interaction between estradiol change and the serotonin transporter gene (5-HTTLPR) polymorphism is associated with postpartum depressive symptoms

Although estrogenic fluctuation is considered a major risk factor for postpartum depression (PPD), the effects of the interactions between the genetic background and estradiol (E2) change on PPD are not well understood. Here, a cohort study with 437 postpartum women was carried out to evaluate the role of a serotonin transporter gene polymorphism (5-HTTLPR) and E2 change on the risk of PPD symptoms. The participants were assessed using the Edinburgh Postnatal Depression Scale and the Self-Rating Depression Scale at 1 and 6 weeks after delivery. The PCR-based restriction fragment length polymorphism method was utilized to examine the genotype distribution of the 5-HTTLPR polymorphism, and the serum levels of E2 were determined in individuals in the third trimester of pregnancy and at 1 week postpartum. A significant association was observed between E2 change and PPD susceptibility in the late postpartum period (6 weeks) [P = 0.002, odds ratio (OR) = 2.341, 95% confidence interval (CI) = 1.361-4.027], but it was not observed in the early postpartum period (1 week). There was no significant association between the 5-HTTLPR genotype and PPD risk at both the early and late postpartum periods (P > 0.05). However, the interaction between E2 change and the 5-HTTLPR polymorphism could reasonably influence PPD risk. The women who carried the SS genotype with large decreases in E2 showed a significantly higher risk for PPD at both the early (P = 0.002, OR = 2.525, 95% CI = 1.384-4.059) and late postpartum periods (P < 0.001, OR = 3.108, 95% CI = 1.562-4.436) compared with those who carried the SL/LL genotype. This study suggests that there is an association between E2 change in the perinatal period with the 5-HTTLPR genotype and the occurrence of PPD.

Treatment resistant depression in women with peripartum depression

BACKGROUND

Peripartum depression is a leading cause of disease burden for women and yet there is little evidence as to how often peripartum depression does not respond to treatment and becomes treatment resistant depression. We sought to determine the incidence of treatment resistant depression (TRD) in women with peripartum depression.

METHODS

Population based retrospective cohort study using a large US claims database. Peripartum depression was defined as having a depression diagnosis during pregnancy or up to 6 months after the end of pregnancy. We included women with prevalent or incident depression. The outcome was the development of TRD within 1 year after the diagnosis of peripartum depression. TRD was defined as having 3 distinct antidepressants or 1 antidepressant and 1 antipsychotic in 1 year. Women with peripartum depression may not be exposed to pharmacological treatments early in pregnancy, therefore we created two groups: 1. women with peripartum depression, and 2. women with peripartum depression diagnosed 3 months before a live birth delivery or within 6 months after that delivery.

RESULTS

There were 3,207,684 pregnant women, of whom 2.5% had peripartum depression. Of these women half had incident depression during pregnancy. Five percent of women with peripartum depression developed TRD within 1 year of the depression diagnosis. The risk of developing TRD was 50% higher in women with prevalent depression than in women with incident peripartum depression (P < 0.0001). Results were similar in women with peripartum depression diagnosed later in their pregnancy. Women who went on to develop TRD had more substance use disorders, anxiety, insomnia and painful conditions.

CONCLUSIONS

TRD occurs in approximately 5% of women with peripartum depression. The risk of TRD is higher in pregnant women with a history of depression. Women who went on to develop TRD had more psychiatric comorbidities and painful conditions than women who did not.

[Sleep disorders as one of the indicators of postpartum depression]

Postpartum depression in ICD-10 refers to mild mental and behavioral disorders associated with physiological disorders of the postpartum period F53.0. Diagnosis is based on criteria, one of which is sleep disorders. The objective of the review is to characterize the postpartum sleep disorders and to reflect their predictor value in the development of postpartum depression. Presomnic, intrasomnic and postsomnic disorders with negative consequences for both the mother and her child were found in sleep disorders of women with postpartum depression. Depression with sleep disorders significantly affect the quality of life of the mother and infant. Sleep disorders are one of the predictors of postpartum depression. Improving of sleep quality is an effective way to prevent the effects of postpartum depression.