Trajectories of depressive symptoms over 2 years postpartum among overweight or obese women

Maternal depressive symptom trajectories and associations with child feeding

BACKGROUND

Responsive feeding, when caregivers attend to children's signals of hunger and satiation and respond in an emotionally supportive and developmentally appropriate way, is associated with the development of healthy eating behaviors, improved diet quality, and healthy weight status for children. However, gaps in the literature remain on how factors, such as maternal depressive symptoms and child temperament, influence feeding interactions.

METHODS

This longitudinal secondary data analysis explored the association between maternal depressive symptom trajectory and child temperament with maternal feeding practices in women with obesity who participated in a prenatal lifestyle intervention trial. Mothers self-reported depressive symptoms at baseline, 35 weeks gestation, and 6, 12, and 18 months postpartum. At 18- and 24-months postpartum, mothers completed self-reported assessments of feeding practices and child temperament and completed in-home video-recorded meals with their child, coded using the Responsiveness to Child Feeding Cues Scale. We used group-based trajectory modeling to identify distinct trajectories of depressive symptoms and generalized regressions to assess the association between symptom trajectory group and feeding. We also explored interactions between depressive symptoms and child temperament.

RESULTS

Three distinct trajectories of depressive symptoms were identified: No-Minimal and Decreasing, Mild-Moderate and Stable, and Moderate-Severe and Stable. At 18-months, when compared to the No-Minimal and Decreasing group, membership in the Moderate-Severe and Stable group was associated with higher observed responsiveness to child satiation cues ([Formula: see text] =2.3, 95%CI = 0.2, 4.4) and lower self-reported pressure to eat ([Formula: see text]=-0.4, 95%CI= -0.7, 0.0). When compared to the No-Minimal and Decreasing group, membership in the Mild-Moderate and Stable group was associated with higher self-reported restriction ([Formula: see text] =0.4, 95%CI = 0.0,0.7). The associations between trajectory group membership and feeding practices did not reach statistical significance at 24 months. Associations between depressive symptoms and restriction were moderated by child effortful control at 18 months [Formula: see text]) and surgency at 24 months [Formula: see text]).

CONCLUSION

A Moderate-Severe and Stable depressive symptom trajectory was associated with more responsive feeding practices and a Mild-Moderate and Stable trajectory was associated with higher restrictive feeding. Preliminary evidence suggests that depressive symptoms impact mothers' ability to match their use of restriction to the temperamental needs of their child.

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.

Food insecurity and common mental disorders in perinatal women living in low socio-economic settings in Cape Town, South Africa during the COVID-19 pandemic: a cohort study

BACKGROUND

Common mental disorders (CMDs), i.e. depression and anxiety, are highly prevalent during the perinatal period, and is associated with poverty, food insecurity and domestic violence. We collected data from perinatal women at two time-points during the COVID-19 pandemic to test the hypotheses that (1) socio-economic adversities at baseline would be associated with CMD prevalence at follow-up and (2) worse mental health at baseline would be associated with higher food insecurity prevalence at follow-up.

METHODS

Telephonic interviews with perinatal women attending healthcare facilities in Cape Town, South Africa. Multivariable (multilevel) regression analysis was used to model the associations of baseline risk factors with the prevalence of household food insecurity and probable CMD at 3 months follow-up.

RESULTS

At baseline 859 women were recruited, of whom 217 (25%) were pregnant, 631 (73%) had given birth in the previous 6 months, 106 (12%) had probable CMD, and 375 (44%) were severely food insecure. At follow-up (n = 634), 22 (4%) were still pregnant, 603 (95%) had given birth, 44 (7%) had probable CMD, and 207 (33%) were severely food insecure. In the multivariable regression model, after controlling for confounders, unemployment [incidence rate ratio (IRR) 1.19 (1.12-2.27); p < 0.001] and had higher scores on the Edinburgh Postnatal Depression Scale [IRR 1.05 (1.03-1.09); p < 0.001] at baseline predicted food insecurity at follow-up; and experiencing domestic violence [OR 2.79 (1.41-5.50); p = 0.003] at baseline predicted CMD at follow-up.

CONCLUSIONS

This study highlights the complex bidirectional relationship between mental health and socio-economic adversity among perinatal women during the COVID-19 pandemic.

Refining our understanding of depressive states and state transitions in response to cognitive behavioural therapy using latent Markov modelling

BACKGROUND

It is increasingly recognized that existing diagnostic approaches do not capture the underlying heterogeneity and complexity of psychiatric disorders such as depression. This study uses a data-driven approach to define fluid depressive states and explore how patients transition between these states in response to cognitive behavioural therapy (CBT).

METHODS

Item-level Patient Health Questionnaire (PHQ-9) data were collected from 9891 patients with a diagnosis of depression, at each CBT treatment session. Latent Markov modelling was used on these data to define depressive states and explore transition probabilities between states. Clinical outcomes and patient demographics were compared between patients starting at different depressive states.

RESULTS

A model with seven depressive states emerged as the best compromise between optimal fit and interpretability. States loading preferentially on cognitive/affective v. somatic symptoms of depression were identified. Analysis of transition probabilities revealed that patients in cognitive/affective states do not typically transition towards somatic states and vice-versa. Post-hoc analyses also showed that patients who start in a somatic depressive state are less likely to engage with or improve with therapy. These patients are also more likely to be female, suffer from a comorbid long-term physical condition and be taking psychotropic medication.

CONCLUSIONS

This study presents a novel approach for depression sub-typing, defining fluid depressive states and exploring transitions between states in response to CBT. Understanding how different symptom profiles respond to therapy will inform the development and delivery of stratified treatment protocols, improving clinical outcomes and cost-effectiveness of psychological therapies for patients with depression.

The relationship between common mental disorders (CMDs), food insecurity and domestic violence in pregnant women during the COVID-19 lockdown in Cape Town, South Africa

PURPOSE

We aimed to explore the relationship between common mental disorders (CMDs), food insecurity and experiences of domestic violence among pregnant women attending public sector midwife obstetric units and basic antenatal care clinics in Cape Town during the COVID-19 lockdown.

METHODS

Perinatal women, attending 14 healthcare facilities in Cape Town, were enrolled in the study during baseline data collection before the COVID-19 lockdown. During the lockdown period, fieldworkers telephonically contacted the perinatal women who were enrolled in the study and had provided contact details. The following data were collected from those who consented to the study: socio-demographic information, mental health assessment, food insecurity status and experiences of domestic violence. Poisson regression was used to model the associations of a number of risk factors with the occurrence of CMDs.

RESULTS

Of the 2149 women enrolled in the ASSET study, 885 consented to telephonic interviews. We found that 12.5% of women had probable CMDs and 43% were severely food insecure. Psychological distress increased significantly during the lockdown period, compared to before the COVID-19 outbreak. Using multivariate Poisson regression modelling, we showed that the risk of CMDs was increased in women who were severely food insecure or who experienced psychological or sexual abuse.

CONCLUSIONS

This study provides evidence of the effect of the COVID-19 lockdown on the mental health status of perinatal women living in low-resource settings in Cape Town and highlights how a crisis such as the COVID-19 lockdown amplifies the psycho-social risk factors associated with CMDs in perinatal women.

Depression subtypes and their response to cognitive behavioral therapy: A latent transition analysis

BACKGROUND

Depression is a heterogeneous condition, with multiple possible symptom-profiles leading to the same diagnosis. Descriptive depression subtypes based on observation and theory have so far proven to have limited clinical utility.

AIM

To identify depression subtypes and to examine their time-course and prognosis using data-driven methods.

METHODS

Latent transition analysis was applied to a large (N = 8380) multi-service sample of depressed patients treated with cognitive behavioral therapy (CBT) in outpatient clinics. Patients were classed into initial latent states based on their responses to the Patient Health Questionnaire-9 of depression symptoms, and transition probabilities to other states during treatment were quantified. Qualitatively similar states were clustered into overarching depression subtypes and we statistically compared indices of treatment engagement and outcomes between subtypes using post hoc analyses.

RESULTS

Fourteen latent states were clustered into five depression subtypes: mild (2.7%), severe (9.8%), cognitive-affective (23.7%), somatic (21.4%), and typical (42.4%). These subtypes had high temporal stability, and the most common transitions during treatment were from severe toward milder states within the same subtype. Differential response to treatment was evident, with the highest improvement rate (63.6%) observed in the cognitive-affective subtype.

CONCLUSION

Replicated evidence indicates that depression subtypes are temporally stable and associated with differential response to CBT.

Trajectories of Maternal Postpartum Depressive Symptoms

OBJECTIVES

To identify homogenous depressive symptom trajectories over the postpartum period and the demographic and perinatal factors linked to different trajectories.

METHODS

Mothers (N = 4866) were recruited for Upstate KIDS, a population-based birth cohort study, and provided assessments of depressive symptoms at 4, 12, 24, and 36 months postpartum. Maternal demographic and perinatal conditions were obtained from vital records and/or maternal report.

RESULTS

Four depression trajectories were identified: low-stable (74.7%), characterized by low symptoms at all waves; low-increasing (8.2%), characterized by initially low but increasing symptoms; medium-decreasing (12.6%), characterized by initially moderate but remitting symptoms; and high-persistent (4.5%), characterized by high symptoms at all waves. Compared with the high-persistent group, older mothers (maximum odds ratio [OR] of the 3 comparisons: 1.10; 95% confidence interval [CI]: 1.05 to 1.15) or those with college education (maximum OR: 2.52; 95% CI: 1.36 to 4.68) were more likely to be in all other symptom groups, and mothers who had a history of mood disorder (minimum OR: 0.07; 95% CI: 0.04 to 0.10) or gestational diabetes mellitus diagnosis (minimum OR: 0.23; 95% CI: 0.08 to 0.68) were less likely to be in other symptom groups. Infertility treatment, multiple births, prepregnancy BMI, gestational hypertension, and infant sex were not differentially associated with depressive symptom trajectories.

CONCLUSIONS

One-quarter of mothers in a population-based birth cohort had elevated depressive symptoms in 3 years postpartum. Screening for maternal depression beyond the postpartum period may be warranted, particularly after mood and diabetic disorders.

Identifying long-term psychological distress from single measures: evidence from a nationally representative longitudinal survey of the Australian population

BACKGROUND

Single time-point assessments of psychological distress are often used to indicate chronic mental health problems, but the validity of this approach is unclear. The aims of this study were to investigate how a single assessment of distress relates to longer-term assessment and quantify misclassification from using single measures to indicate chronic distress.

METHODS

Data came from the Household, Income and Labour Dynamics in Australia Survey, a nationally representative study of Australian adults. Psychological distress, measured with the Kessler10 and categorised into low (scores:10- < 12), mild (12- < 16), moderate (16- < 22) and high (22-50), has been assessed in the Survey biennially since wave 7. Among respondents who were aged ≥25 years and participated in all waves in which distress was measured, we describe agreement in distress categories, and using a mixed linear model adjusting for age and sex we estimate change in scores, over a two-, four-, six- and eight-year follow-up period. We applied weights, benchmarked to the Australian population, to all analyses.

RESULTS

Two-years following initial assessment, proportions within identical categories of distress were 66.0% for low, 54.5% for mild, 44.0% for moderate and 50.3% for high, while 94.1% of those with low distress initially had low/mild distress and 81.4% with high distress initially had moderate/high distress. These patterns did not change materially as follow-up time increased. Over the full eight-year period, 77.3% of individuals with high distress initially reported high distress on ≥1 follow-up occasion. Age-and sex- adjusted change in K10 scores over a two-year period was 1.1, 0.5, - 0.7 and - 4.9 for low, mild, moderate and high distress, respectively, and also did not change materially as follow-up time increased.

CONCLUSION

In the absence of repeated measures, single assessments are useful proxies for chronic distress. Our estimates could be used in bias analyses to quantify the magnitude of the bias resulting from use of single assessments to indicate chronic distress.

Perinatal depressive symptoms among low-income South African women at risk of depression: trajectories and predictors

BACKGROUND

The aim of the study was to identify trajectories of perinatal depressive symptoms and their predictors among women living in a low-resource setting in South Africa, and who present with a risk of depression during pregnancy.

METHODS

This is a secondary analysis of a randomised controlled trial among 384 women living in Khayelitsha, a low income setting in South Africa, recruited at their first antenatal visit if they scored 13 or above on the Edinburgh Postnatal Depression Scale, were at least 18 years of age, less than 29 weeks pregnant and spoke isiXhosa. Participants were followed up at 8 months gestation, 3 and 12 months postpartum. Latent trajectories of depressive symptoms were identified using growth mixture modelling, based on the Hamilton Depression Rating Scale (HDRS). There were no differences in HDRS scores between the control and intervention arms, so all participants were assessed together. Health, social and economic predictors of trajectories were investigated to identify high-risk groups with greater or more chronic depressive symptoms, using univariate logistic regression.

RESULTS

Two trajectories were identified: antenatal only (91.4%), with moderate to severe symptoms at baseline which later subside; and antenatal and postnatal (8.6%), with severe depressive symptoms during pregnancy and later in the postpartum period, which subside temporarily to moderate levels at 3 months postpartum. Predictors for the antenatal and postnatal trajectory include severe food insecurity, intimate partner violence, lower social support, greater functional impairment, problematic drinking and suicide risk.

CONCLUSIONS

A small proportion of women who are at risk for depression antenatally remain at risk throughout the perinatal period, and can be differentiated from those who show a natural remission. Identification and referral strategies should be developed with these findings in mind, especially given the limited mental health resources in low-income settings.

Multi-trajectory modeling of home blood pressure telemonitoring utilization among hypertensive patients in China: A latent class growth analysis

BACKGROUND

Home blood pressure telemonitoring (HBPT) has great potential in improving blood pressure (BP) control among patients with hypertension. However, the longitudinal use trajectories of HBPT have not been identified yet. In addition, there has been a lack of understanding of the relationship between developmental trajectories of HBPT and BP control over time. The primary goal of this study was to identify the longitudinal trajectories of using HBPT among hypertensive patients and to explore the relationship between longitudinal trajectories of HBPT use patterns and BP control.

METHODS

A total of 122 hypertensive patients were enrolled consecutively in Xiling, Huayan, Baisha and Xueyuan communities in Yichang City, Hubei Province, China. Each patient was provided with a portable monitoring device which has unlimited data service at the time of enrollment. Socio-demographics (e.g. name, age, sex, marital status) were collected at baseline. Real-time data including systolic and diastolic blood pressure were automatically uploaded to cloud platform through devices. Latent class growth analysis was conducted to determine the latent trajectory of HBPT use. Joint trajectory method was used to correlate the longitudinal trajectories of HBPT utilization and BP control status.

RESULTS

Five trajectories were identified which are persistently low (47.1%), moderate with decreasing (23.9%), sharply decreasing (11.2%), high with decreasing (11.3%) and persistently high with increasing (6.6%). There was no statistically significant difference among 5 trajectories in the baseline survey in terms of age, marital status, BP (both SBP and DBP) and BP control status. However, there was a strong positive correlation between the HBPT utilization pattern and BP control status over time.

CONCLUSIONS

The latent trajectories of HBPT utilization were identified in our study. However, no predictors of trajectory membership were identified. Nevertheless, we have demonstrated that HBPT was to some extent positively correlated with improved BP control, and this correlation still needs to be further proved.

A systematic review of growth curve mixture modelling literature investigating trajectories of perinatal depressive symptoms and associated risk factors

BACKGROUND

The aim of this study was to review the growth curve mixture modelling (GCMM) literature investigating trajectories of perinatal maternal depressive symptoms and associated risk factors.

METHODS

A systematic search of peer-reviewed articles published until November 2015 was conducted in seven databases. Articles using GCMM to identify trajectories of perinatal depressive symptoms were considered. Symptoms had to be assessed at least three times, anytime from pregnancy to two years postpartum (PROSPERO; 2016:CRD42016032600).

RESULTS

Eleven studies met inclusion criteria. All reported a low risk trajectory, characterised by stable low depressive symptoms throughout the perinatal period. A stable moderate-high or high symptom trajectory was reported in eight of 11 studies, suggesting a high-risk group with persistent depressive symptoms. Six studies also reported transient trajectories, with either increasing, decreasing or episodic depressive symptoms. None of the demographic, personality or clinical characteristics investigated systematically differentiated groups of women with different symptom trajectories, within or across studies. Thus, it is difficult to differentiate women at high or low risk of specific perinatal depression trajectories.

LIMITATIONS

A meta-analysis was not possible. The studies' settings and inclusion criteria limit the generalisability of the findings to low-risk, middle- to high-income women.

CONCLUSIONS

Relatively similar trajectories of perinatal depressive symptoms were identified across studies. Evidence on factors differentiating women assigned to different trajectories was inconsistent. Research with larger samples and in more diverse settings is needed to inform services and policies on how and when to effectively identify subgroups of women at high risk of perinatal depression.