Mental disorders and risk factors among pregnant women with depressive symptoms in Sweden-A case-control study

Cluster Analysis of Fear of Childbirth, Anxiety, Depression, and Childbirth Self-Efficacy

OBJECTIVE

To identify clusters of women based on anxiety, depression, fear of birth, and childbirth self-efficacy and factors associated with the clusters.

DESIGN

Cross-sectional survey.

SETTING

Online in Sweden.

PARTICIPANTS

Pregnant women (N = 1,419).

METHODS

We collected data through online questionnaires. We included scales to measure anxiety, depression, worries about and fear of birth, and self-efficacy in a kappa-means cluster analysis. We calculated odds ratios with 95% confidence intervals between clusters and background variables.

RESULTS

We identified 4 clusters based on severity: Resourceful-Robust, Resourceful-Fearful, Vulnerable-Fearful, and Fragile-Fearful. Participants in the Resourceful-Fearful and Vulnerable-Fearful clusters were more likely to report mental health problems than those in the Resourceful-Robust cluster. Participants in the Vulnerable-Fearful and Fragile-Fearful clusters were more likely to report mental health problems than those in the Resourceful-Robust cluster. Participants in the Fragile-Fearful cluster were more likely to be multiparous, report that their pregnancy was not normal, and prefer cesarean birth than those in the Resourceful-Robust cluster.

CONCLUSIONS

Women with childbirth fear may be vulnerable to anxiety and depression during the perinatal period, although the severity might vary. Self-efficacy might be a mediator against mental health problems. Findings demonstrated levels of severity, and the one-size-fits-all approach in Swedish health care may benefit from a more targeted approach for women with fear of childbirth.

A longitudinal study of a mHealth app and regional policies on the uptake of postpartum depression referral after positive screening in Shenzhen

BACKGROUND

Postpartum depression (PPD) has received widespread attention. Shenzhen has been running a large-scale program for PPD since 2013. The program requires mothers to self-assess when applying information technology to PPD screening beginning in 2021. The purpose of this study was to conduct a longitudinal analysis of the impact of mHealth apps on the health-seeking behaviors of PPD patients.

METHODS

Longitudinal data from districts in the Shenzhen Maternal and Child Health Management Information System (MCHMIS) for ten years was used in this study. Referral success rate (RSR, successful referrals to designated hospitals as a percentage of needed referrals) was used to assess health-seeking behavior. Trend χ2 tests were used to assess the overall trend of change after the implementation of mHealth in ten districts in Shenzhen. Interrupted Time Series Analysis (ITSA) was employed to assess the role of the mHealth app in changing patient health-seeking behaviors.

RESULTS

For the results of the trend χ2 tests, the ten districts of Shenzhen showed an upward trend. For the ITSA results, different results were shown between districts. Nanshan district, Longhua district, and Longgang district all demonstrated an upward trend in the first-year application of the mHealth app. Nanshan district and Longgang district both exhibited an upward trend in terms of sustained effects.

CONCLUSIONS

There is a difference in the performance of the mHealth app across the ten districts. The results show that the three districts with better health resource allocation, Nanshan, Longgang, and Longhua districts, demonstrated more significant mHealth app improvements. The mHealth app's functions, management systems, and health resource allocation may be potential factors in the results. This suggests that when leveraging mHealth applications, the first step is to focus on macro-level area resource allocation measures. Secondly, there should be effective process design and strict regulatory measures. Finally, there should also be appropriate means of publicity.

Depressive symptoms during pregnancy and after birth in women living in Sweden who received treatments for fear of birth

The aim of this study was to investigate the prevalence of depressive symptoms and associated factors in women who underwent treatments for fear of birth; internet-based cognitive therapy, counseling with midwives, continuity with a known midwife or standard care. A secondary analysis was performed using data collected from four samples of women identified with fear of birth and receiving treatment with different methods. A questionnaire was used to collect data in mid-pregnancy and at follow-up 2 months after birth. Depressive symptoms were assessed using the Edinburgh Postnatal Depressive Scale. In mid-pregnancy, 32% of the 422 women with fear of birth also reported a co-morbidity with depressive symptoms. At postpartum follow-up, 19% reported depressive symptoms 2 months after birth, and 12% showed continued or recurrent depressive symptoms identified both during pregnancy and postpartum. A history of mental health problems was the strongest risk factor for presenting with depressive symptoms. None of the treatment options in this study was superior in reducing depressive symptoms. This study showed a significant co-morbidity and overlap between fear of birth and depressive symptoms. Screening for depressive symptoms and fear of birth during pregnancy is important to identify women at risk and offer specific treatment.

Mental disorders and risk factors among pregnant women with depressive symptoms in Sweden-A case-control study

INTRODUCTION

Identification of pregnant women suffering from depression or other mental disorders is a challenge for antenatal caregivers. The purpose of this case-control study was to describe mental disorders and the risk factors for mental disorders in women with depressive symptoms assessed with the Edinburgh Postnatal Depression Scale during the first trimester and to compare them with pregnant women without depressive symptoms.

MATERIAL AND METHODS

In total, 2271 women answered the Edinburgh Postnatal Depression Scale at the first antenatal visit with a midwife. An Edinburgh Postnatal Depression Scale score of 13 or higher was considered to be screen-positive and these women were further assessed. Screen-negative pregnant women, matched for age and parity, were chosen as controls.

RESULTS

In total, 149 (6.6%) women were found to be screen-positive. The majority (126, 85%) had at least one mental disorder or risk factor for mental disorder, such as depression (36.0%), anxiety (14.8%), or severe fear of childbirth (20.8%). The screen-positive women were more often smokers (16.1% vs 1.3%), unemployed (19.9% vs 1.3%), or on sick leave (25.3% vs 14.1%) during pregnancy and more often used selective serotonin reuptake inhibitor during pregnancy (14.2% vs 2.7%) compared with the screen-negative women (P<.001). Among the screen-negative women (n = 150) only three (2%) presented with symptoms of depression during pregnancy.

CONCLUSIONS

The Edinburgh Postnatal Depression Scale seems to be a valuable screening tool to detect depressive symptoms as well as other mental disorders during early pregnancy.