Network Analyses of Maternal Pre- and Post-Partum Symptoms of Depression and Anxiety

Network analysis of the urban-rural differences in depressive symptoms among older adults with multiple chronic conditions: Evidence from a national survey

BACKGROUND

Evidence on the differences in depressive symptoms among older adults with multiple chronic conditions (MCCs) in urban and rural areas is limited.

METHODS

Measures of depressive symptoms (Center for Epidemiologic Studies Depression Scale-10) and demographic factors (age, gender, and urban-rural distribution) were used.

RESULTS

A total of 4021 older adults with MCCs were included in this study. Significant differences were observed in both network global strength (Urban: 3.989 vs. Rural: 3.703, S = 0.286, p = 0.003) and network structure (M = 0.139, p = 0.002) between urban and rural residents.

CONCLUSIONS

The study highlights the need for region-specific approaches to understanding and addressing depression and holds the potential to enhance understanding of the psychological health status of older adults with MCCs in urban and rural settings.

Mild differences in the role of somatic symptoms in depression networks in pregnancy and postpartum: A comparison with women outside peripartum

Depression is one of the most prevalent mental ailments in pregnancy. Many authors have discussed the appropriateness of somatic symptoms for depression assessment in pregnancy and postpartum. However, no study has examined the role of somatic symptoms in networks of pregnant and postpartum women compared to women outside peripartum. Here, we show that somatic symptoms are essential to depression assessment during pregnancy and postpartum. We compared networks of the nine PHQ-9 items across pregnant women (n = 894, Mage = 29.29), women in postpartum (n = 586, Mage = 29.83) and women outside peripartum (n = 1029, Mage = 24.87). While three of the five somatic symptoms in PHQ-9 were more present in pregnant women than in those outside the peripartum, the three networks were highly similar regarding the position of the somatic symptoms and their relation to the emotional-cognitive symptoms. Most depression symptoms in pregnant women were predicted by other depression symptoms to a lesser extent than in postpartum and outside peripartum. Other external variables are therefore needed to explain these sensations in pregnancy. In addition to the incidence of somatic symptoms, practitioners should ask pregnant women about their attributions of these.

Comparison of the EPDS and PHQ-9 in the assessment of depression among pregnant women: Similarities and differences

BACKGROUND

Perinatal depression has attracted increasing attention. However, a detailed investigation of the network structure of depression is still lacking. We aim to examine the similarities and differences between the Edinburgh Postnatal Depression Scale (EPDS) and Patient Health Questionnaire (PHQ-9) from a network perspective.

METHODS

A cross-sectional study was conducted from August 2020 to March 2022. We followed the STROBE checklist to report our research. Pregnant women (n = 2484) were recruited. All participants completed the EPDS and PHQ-9. We mainly used network analyses for statistical analysis and constructed two network models: the EPDS and PHQ-9 models.

RESULTS

The detection rates of prenatal depression measured by the EPDS and PHQ-9 were 30.2 % and 28.2 %, respectively. In the EPDS network, the EPDS8 'sad or miserable' node (strength = 1.2161) was the most central node, and the EPDS10 'self-harming' node (strength = 0.4360) was the least central node. In the PHQ-9 network, the PHQ4 'fatigue' node (strength = 0.9815) was the most central node, and PHQ9 'suicide' was the least central symptom (strength = 0.5667). For both models, 'sad' acted as an important central symptom.

CONCLUSIONS

Psychological symptoms may be more important in assessing depression using the EPDS, while physical symptoms may be more influential in assessing depression using the PHQ-9. For both the EPDS and PHQ-9, "sad" was an important central symptom, suggesting that it may be the most important target for further maternal depression interventions in the future.

Maternal mood, anxiety and mental health functioning after combined myo-inositol, probiotics, micronutrient supplementation from preconception: Findings from the NiPPeR RCT

Observational studies have reported associations between nutrition during pregnancy and mental wellbeing. As secondary outcomes, the NiPPeR double-blind randomized trial in women planning conception investigated whether a myo-inositol, probiotics and enriched micronutrients formulation (intervention) taken preconception and throughout pregnancy could improve mental wellbeing during pregnancy and post-delivery, compared with a standard micronutrient supplement (control). Mood and anxiety symptoms were ascertained (Edinburgh Postnatal Depression Scale (EPDS), State-Trait Anxiety Inventory (STAI-state)) at preconception (baseline), 7, 28 and 34 weeks gestation, 3-weeks and 6-months post-delivery. EPDS>=13 was categorised as low mood; STAI-state>=45 as high anxiety. Change in mental health functioning was assessed as difference between preconception baseline and 6-month post-delivery 12-item Short-Form Health Survey (SF-12v2) mental component scores. Adjusting for site, ethnicity and baseline scores, there were no robust differences in EPDS and STAI-state scores between intervention and control groups across pregnancy (n = 630) and post-delivery (n = 532). Compared to controls, intervention group women averaged a 1.21 (95 %CI 0.04,2.39) higher change in SF-12v2 mental component score from preconception to 6-months post-delivery. Taking a myo-inositol, micronutrient and probiotic supplement during preconception/pregnancy had no effect on mood and anxiety, but there was evidence of a modest improvement in mental health functioning from preconception to 6-months post-delivery.

Trajectories and associations of symptoms of mental health and well-being with insulin resistance and metabolic health in women with gestational diabetes

BACKGROUND

Gestational diabetes mellitus (GDM) is characterized by increased insulin resistance and carries perinatal and long-term risks for the mother and her offspring. There is a link between perinatal depression or anxiety and GDM. Mental health problems are associated with higher insulin resistance and could explain the underlying association between GDM and depression or anxiety symptoms. We investigated the trajectories and associations between symptoms of mental health and well-being with insulin resistance and metabolic health in women with GDM.

METHODS

This study included the control group (n = 106) of a randomized controlled trial in women with GDM that were followed-up during pregnancy and up to 1-year postpartum. We measured symptoms of mental health (Edinburgh Postnatal Depression Scale (EPDS), Anxiety subscale of the Hospital Anxiety and Depression Scale (HADS-A), well-being (The World Health Organization Well-Being Index (WHO-5)) and metabolic health, including insulin resistance variables (HOMA-insulin resistance (IR) and Matsuda Index of insulin sensitivity) as well as weight during pregnancy and in the postpartum.

RESULTS

Participants' pre pregnancy weight and BMI were 69.7 kg ± 16.1 and 25.9 kg/m2 ± 5.5 respectively. HOMA-IR was higher during pregnancy compared to 6-8 weeks postpartum and increased between 6-8 weeks and 1-year postpartum (all p < 0.05). Matsuda index decreased between 6-8 weeks and 1-year postpartum (p < 0.001). EPDS scores decreased between pregnancy and both 6-8 weeks and 1-year postpartum (all p < 0.05). HADS-A scores did not change between pregnancy and the postpartum. WHO-5 scores improved significantly from pregnancy and both 6-8 weeks and 1-year postpartum (p < 0.001). Correlation coefficients within outcome at the three different time points were high for metabolic measures and ranged between 0.94 and 0.96 for weight, from 0.77 to 0.89 for HOMA-IR and 0.64 for the Matsuda index (all p < 0.001). Mental health and well-being variables were moderately correlated in all three time points including r = 0.36-0.55 for the EPDS (p < 0.001), r = 0.58 for HADS (p < 0.001), and r = 0.43-0.52 for the WHO-5 (p < 0.01). After adjustment for age and pre-pregnancy BMI, Matsuda index was negatively associated with EPDS scores and positively associated to WHO-5 scores at 6-8 weeks postpartum. No other association between insulin resistance and mental health or well-being outcomes were found.

CONCLUSION

While insulin resistance fluctuated with values being lowest in the early postpartum and increasing thereafter, both depression and well-being scores decreased between pregnancy and the postpartum and did not change in the postpartum period. Intraindividual variability was larger for mental health and well-being than for metabolic health outcomes at different time points, indicating a higher plasticity for mental health and well-being outcomes that could be acted upon. We found only few associations between mental health and well-being and metabolic health outcomes.

Network analysis of depressive and anxiety symptoms in older Chinese adults with diabetes mellitus

Background

The move away from investigating mental disorders as whole using sum scores to the analysis of symptom-level interactions using network analysis has provided new insights into comorbidities. The current study explored the dynamic interactions between depressive and anxiety symptoms in older Chinese adults with diabetes mellitus (DM) and identified central and bridge symptoms in the depression-anxiety network to provide potential targets for prevention and intervention for depression and anxiety.

Methods

This study used a cross-sectional design with data from the 2017-2018 wave of the Chinese Longitudinal Healthy Longevity Survey (CLHLS). A regularized partial correlation network for depressive and anxiety symptoms was estimated based on self-reported scales completed by 1685 older adults with DM aged 65 years or older. Depressive and anxiety symptoms were assessed using the 10-item Center for Epidemiologic Studies Depression Scale (CESD-10) and the Seven-Item Generalized Anxiety Disorder Scale (GAD-7), respectively. Expected influence (EI) and bridge expected influence (BEI) indices were calculated for each symptom.

Results

According to cutoff scores indicating the presence of depression and anxiety, the prevalences of depression and anxiety in our sample were 52.9% and 12.8%, respectively. The comorbidity rate of depression and anxiety was 11.5%. The six edges with the strongest regularized partial correlations were between symptoms from the same disorder. "Feeling blue/depressed", "Nervousness or anxiety", "Uncontrollable worry", "Trouble relaxing", and "Worry too much" had the highest EI values. "Nervousness or anxiety" and "Everything was an effort" exhibited the highest BEI values.

Conclusion

Central and bridge symptoms were highlighted in this study. Targeting these symptoms may be effective in preventing the comorbidity of depressive and anxiety symptoms and facilitate interventions in older Chinese adults with DM who are at risk for or currently have depressive and anxiety symptoms.

Exploring Heterogeneity in perinatal depression: a comprehensive review

Perinatal depression (PND) is a significant contributor to maternal morbidity globally. Recognized as a major cause of poor infant development, epidemiological and interventional research on it has increased over the last decade. Recently, studies have pointed out that PND is a heterogeneous condition, with variability in its phenotypes, rather than a homogenous latent entity and a concrete diagnosis, as previously conceptualized in psychometric literature and diagnostic systems. Therefore, it is pertinent that researchers recognize this to progress in elucidating its aetiology and developing efficacious interventions.This systematic review is conducted in accordance with the Meta-analysis of observational studies in epidemiology (MOOSE). It aims to provide an updated and comprehensive account of research on heterogeneity in phenotypes of PND and its implications in research, public health, and clinical practice. It provides a synthesis and quality assessment of studies reporting heterogeneity in PND using cutting-edge statistical techniques and machine learning algorithms. After reporting the phenotypes of PND, based on heterogeneous trajectories and symptom profiles, it also elucidates the risk factors associated with severe forms of PND, followed by robust evidence for adverse child outcomes. Furthermore, recommendations are made to improve public health and clinical practice in screening, diagnosis, and treatment of PND.

Network structure of mobile phone addiction and anxiety symptoms among rural Chinese adolescents

BACKGROUND

The incidence of mobile phone addiction among adolescents in rural areas of China is increasing year by year, and has already exceeded that of some cities. And phone addiction increases the risk of anxiety and poor sleep. Therefore, this study used network analysis to investigate the relationship between mobile phone addiction and anxiety symptoms, and the predictability to sleep quality.

METHODS

From September 2021 to March 2022, a total of 1920 rural adolescents in Xuzhou, China were included. The survey included information on phone addiction, anxiety symptoms, and sleep quality. Network analysis was used to estimate the network structure of adolescents' mobile phone addiction and anxiety symptoms. LOWESS curve and linear regression were used to test the predictive ability of node-centrality on sleep quality.

RESULTS

In the network of mobile phone addiction-anxiety symptoms, the most influential symptoms were Failure to cut down the time, Anxiety if not used for some time, and Alleviate loneliness. Irritability was the most prominent bridging symptom. Gender difference had no effect on network structure. Nodes in the network are not predictive of sleep quality.

CONCLUSION

Failure to cut down the time is the most important symptom, suggesting that measures should be taken to reduce the amount of time spent on mobile phones. For example, increase outdoor exercise, increase the real company of friends and family, in order to reduce the occurrence of mobile phone addiction and anxiety.

Individual and dyadic network analyses of depressive symptoms in Chinese postpartum couples: A cross-sectional study

BACKGROUND

The network approach to psychopathology is symptom oriented and may open new possibilities for intervention development and health care practices in postpartum depression.

OBJECTIVE

To investigate the individual and dyadic symptom network of postpartum depression in Chinese mothers and fathers in the very early postpartum period.

DESIGN

A cross-sectional study was conducted.

SETTINGS AND PARTICIPANTS

A total of 457 couples in the 2∼3 days postpartum period was recruited consecutively from a hospital in Guangzhou, China from September 2020 to April 2021.

METHODS

The Edinburgh Postnatal Depression Scale and socio-demographic and obstetric data sheet were used to collect data. We estimated the individual symptom networks of postpartum mothers and fathers separately and a dyadic symptom network that consisted of symptoms of both spouses. Network characteristics including global strength and node centralities were analyzed and systematically compared.

RESULTS

Strength centralities in the individual networks showed acceptable stability [Correlation stability coefficient (CS) for mothers = 0.60; CS for fathers = 0.52]. The central depressive symptoms in mothers were Crying (Z_strength = 1.32), Overwhelmed (Z_strength = 1.01) and Sad mood (Z_strength = 0.93). The central depressive symptom in fathers was Sad Mood (Z_strength = 1.35). The symptom "Crying" had a distinctive link to thoughts of self-harm in fathers. The symptom network of mothers (global strength = 4.15) was more interconnected than that of fathers (global strength = 3.74). There was a statistically significant but unstable within-couple connection of thoughts of self-harm (CS = 0.21).

CONCLUSIONS

Postpartum mothers are more vulnerable to activation spreads of depressive symptoms than postpartum fathers. Symptoms including "Sad mood", "Overwhelmed" and "Crying" warrant the attention of health care providers. Investigations with larger sample sizes and gender-sensitive instruments are needed to further unfold the individual and dyadic symptom dynamics of postpartum depression.

Mid‐pregnancy and postpartum maternal mental health and infant sleep in the first year of life

Perinatal depression and anxiety are common and associated with sleep problems in the offspring. Depression and anxiety are commonly comorbid, yet often studied independently. Our study used an integrative measure of anxiety and depressive symptoms to examine the associations of maternal mental health (mid-pregnancy and postnatal) with infant sleep during the first year of life. A total of 797 mother-child dyads from the 'Growing Up in Singapore Towards healthy Outcome' cohort study provided infant sleep data at 3, 6, 9 and 12 months of age, using the caregiver reported Brief Infant Sleep Questionnaire. Maternal mental health was assessed at 26-28 weeks gestation and 3 months postpartum using the Edinburgh Postnatal Depression Scale, Beck Depression Inventory and State-Trait Anxiety Inventory. Bifactor modelling with the individual questionnaire items produced a general affect factor score that provided an integrated measure of anxiety and depressive symptoms. Linear mixed models were used to model the sleep outcomes, with adjustment for maternal age, education, parity, ethnicity, sex of the child and maternal sleep quality concurrent with maternal mental health assessment. We found that poorer mid-pregnancy, but not postpartum, maternal mental health was associated with longer wake after sleep onset duration across the first year of life (β = 49, 95% confidence interval 13-85 min). Poor maternal mental health during mid-pregnancy is linked to longer period of night awakening in the offspring during infancy. Interventions that aim to improve maternal antenatal mental health should examine infant sleep outcomes.

Prenatal Symptom Cluster of Psychopathology and Associations With Mindfulness and Rumination: A Network Analysis

ABSTRACT

The present study aimed to examine the interrelationships of prenatal psychopathology (specifically symptom cluster), dispositional mindfulness, and rumination using network analysis. Network analysis estimates the links between symptoms and can evaluate the presence and strength of the links. A total of 1122 pregnant women were recruited from a tertiary hospital in China. Psychopathology symptoms (including anxiety, depression, stress, fatigue, sleep, fear of childbirth [FOC], and memory problems) were assessed and used along with mindfulness and rumination to construct networks of association using R. Results illustrated five communities within the network. Anxiety resulted in the highest strength of centrality followed by two symptoms: FOC and retrospective memory. Paths showed that mindfulness was directly connected to depression, prospective memory, retrospective memory, and lack of positive anticipation in FOC, whereas mindfulness was connected indirectly through rumination to anxiety, fatigue, stress, and sleep problems. The findings reinforce that anxiety is a key symptom of prenatal psychopathology and requires priority consideration. The direct associations between mindfulness and prenatal psychopathology symptoms provide potential targets for future mindfulness-based interventions, and mindfulness reducing rumination thus in turn decrease anxiety, suggesting potential mediating mechanism of mindfulness.

Psychological Interventions for Prenatal Anxiety in Latinas and Black Women: A Scoping Review and Recommendations

Anxiety symptoms are common among pregnant women worldwide. In the United States, prenatal anxiety symptoms tend to be elevated among Black and Latin American women as compared to non-Latina White women. Despite the high prevalence of anxiety and associations with adverse maternal and offspring outcomes, interventions have not been developed or tailored sufficiently to Black women or Latinas who need efficacious treatment. This article provides a scoping review of articles published since 2017 that test the effects of randomized and non-randomized psychological interventions designed to reduce prenatal anxiety in samples comprised primarily of ethnic/racial minority women. We also review published protocols of planned psychological interventions to reduce prenatal anxiety in order to highlight novel approaches. In addition to summarizing intervention efficacy and participant acceptability, we highlight gaps in the literature which, if addressed, could improve perinatal mental health equity. Finally, we discuss future directions in prenatal anxiety intervention science beginning preconception including intervention design and prevention models.

Network analysis of anxiety and depressive symptoms among nursing students during the COVID-19 pandemic

BACKGROUND

The 2019 coronavirus disease (COVID-19) pandemic has impacted the mental health and well-being of medical personnel, including nursing students. Network analysis provides a deeper characterization of symptom-symptom interactions in mental disorders. The aim of this study was to elucidate characteristics of anxiety and depressive symptom networks of Chinese nursing students during the COVID-19 pandemic.

METHOD

A total of 932 nursing students were included. Anxiety and depressive symptom were measured using the seven-item Generalized Anxiety Disorder Scale (GAD-7) and two-item Patient Health Questionnaire (PHQ-2), respectively. Central symptoms and bridge symptoms were identified via centrality indices and bridge centrality indices, respectively. Network stability was examined using the case-dropping procedure.

RESULTS

Irritability, Uncontrollable worry, Trouble relaxing, and Depressed mood had the highest centrality values. Three bridge symptoms (Depressed mood, Nervousness, and Anhedonia) were also identified. Neither gender nor region of residence was associated with network global strength, distribution of edge weights or individual edge weights.

LIMITATIONS

Data were collected in a cross-sectional study design, therefore, causal relations and dynamic changes between anxiety and depressive symptoms over time could not be inferred. Generalizability of findings may be limited to Chinese nursing students during a particular phase of the current pandemic.

CONCLUSIONS

Irritability, Uncontrollable worry, Trouble relaxing, and Depressed mood constituted central symptoms maintaining the anxiety-depression network structure of Chinese nursing students during the pandemic. Timely, systemic multi-level interventions targeting central symptoms and bridge symptoms may be effective in alleviating co-occurring experiences of anxiety and depression in this population.

Maternal and Paternal Depression During Pregnancy in China: Prevalence, Correlates, and Network Analysis

BACKGROUND

Depression is a commonly seen mental health concern for mothers and fathers during their transition to parenthood. This study aims to provide new insights into the prevalence of maternal and paternal depression, its demographic and clinical correlates, and its symptom network among Chinese pregnant women and their partners.

METHODS

In this multicenter, cross-sectional study, 769 pregnant women and their partners were assessed by Edinburgh Postnatal Depression Scale (EPDS) from June 15th to Sep 15th, 2020 in southern China. Convenient sampling method was used. Univariate analyses, multivariate logistic regression, and network analyses were conducted. Networks of maternal and paternal depression were compared.

RESULTS

In total, 60 (EPDS total score ≥13, 7.80%, 95% CI: 5.90-9.70%) women and 23 (2.99%, 95% CI: 1.78-4.20%) of these women's partners reported depression. Physical comorbidities (OR=2.664, P=0.003) was the only factor that was found to significantly correlate with maternal depression. Network analyses showed that the resulting networks were well connected and that there was significant difference of network structure between maternal and paternal depression (M=0.330, P<0.001). Centrality plot indicated that "sad or miserable" (strength=1.097) was the most central symptom in the maternal depression network, while "scared or panicky" (strength=1.091) was the most central node in the paternal network. The edge between "things have been getting on top of me" - "able to laugh and see the funny side of things" (difference: 0.153, P=0.020), and "scared or panicky" - "the thought of harming myself" (difference: 0.084, P<0.001) was significantly stronger in women's partners than that in pregnant women.

CONCLUSION

Maternal and paternal depression during pregnancy could result in significant negative consequences. Symptoms like "sad or miserable" and "scared or panicky" are critical and might be potential targets for further interventions. Evidence-based treatments, such as pharmacology, psychotherapy, community reinforcement and family training, might be beneficial for parents with depression during and after the pregnancy.

Does One Treatment Fit All? Effectiveness of a Multicomponent Cognitive Behavioral Therapy Program in Data-Driven Subtypes of Perinatal Depression

Background: Current diagnostic systems of mental disorders are criticized for their poor validity and reliability, owing to the within disorder heterogeneity and between disorder homogeneity. The issue is important if treatments for mental disorders are to be tailored to individual needs. There is little information in this area on perinatal depression (PND), a highly prevalent condition globally. Aims: i) Quantify heterogeneity attributable to the polythetic diagnostic framework for PND and, ii) present evidence for the effectiveness of a multicomponent and low-intensity cognitive behavioral Thinking Healthy Programme (THP) across the heterogeneous presentations of PND. Methods: This investigation presents secondary analyses of a cluster randomized controlled trial, conducted in Kallar Syedan, Pakistan. A total of 903 pregnant women were randomized to an intervention group receiving the THP intervention or control group receiving enhanced usual care. Principal component analyses and clustering algorithm were utilized to identify heterogenous subtypes of PND. Linear mixed effects models were used to assess effectiveness of the intervention across the identified subtypes of PND. Results: Four different clusters of PND were identified: mixed anxiety-depression, somatic depression, mild depression, and atypical depression. All clinical phenotypes responded well to the THP intervention. Compared to their counterparts in the control group, mothers with mild depression in the treatment group yielded lowest risk ratios 0.24 (95% CI: 0.15 to 0.37), followed by mothers with anxiety-depression 0.50 (95% CI: 0.37 to 0.68), atypical depression 0.51 (95% CI: 0.27 to 0.99) and somatic depression 0.59 (95% CI: 0.42 to 0.83). Conclusion: The Thinking Healthy Programme was found to be effective in reducing severity of depressive symptoms and disability across the four subtypes of PND.