Symptom profiles of women at risk of mood disorders: A latent class analysis

The Unique Impacts of COVID-19 on Low-Income and Diverse Canadian Women's Mental Health Profiles: A Latent Transition Analysis

There is evidence of an overall decline in women's mental health, particularly those with young children, in the wake of the COVID-19 pandemic. However, research has also found heterogeneity in women's mental health responses. This longitudinal study sampled low-income women with young children by recruiting from the government's child care financial subsidy waitlist. To examine heterogeneity in women's mental health responses to COVID-19, a latent transition analysis was employed to identify profiles of anxiety, depression, and stress among 289 low-income mothers. Using these identified profiles, we examined the transitional patterns between profiles before and during COVID-19 and the sociodemographic and familial factors related to these profiles. A three-profile solution was identified prior to COVID-19 and a four-profile solution during COVID-19, with some profiles exhibiting qualitatively different defining characteristics. Latent transition analyses found diverse patterns of mental health changes after the onset of COVID-19. Mothers with better mental health prior to COVID-19 tended to have the most stable mental health during COVID-19. In contrast, mothers who were highly stressed prior to COVID-19 were equally likely to improve or decline after the onset of the pandemic. In addition, the relationships between race, parenting practices, child temperament, and child mental health were significantly related to mothers' mental health profiles. These findings describe mothers' experiences and areas where policymakers and practitioners can tailor support to low-income women with young children.

A sum of its parts: A systematic review evaluating biopsychosocial and behavioral determinants of perinatal depression

INTRODUCTION

Depression is one of the most common yet underdiagnosed perinatal complications and our understanding of its pathophysiology remains limited. Though perinatal depression is considered to have a multifactorial etiology, integrative approaches to investigation are minimal. This review takes an integrative approach to systematically evaluate determinants (e.g., biological, behavioral, environmental, social) and interactions among determinants of perinatal depression and the quality of methods applied.

METHODS

Four databases (i.e., PubMed, CINAHL, APA PsycInfo, Web of Science) were systematically searched to identify studies examining determinants of perinatal depression in adult perinatal persons (≥ 18 years). Articles were excluded if the outcomes were not focused on perinatal persons and depression or depression symptoms, depression was examined in a specific subpopulation evidenced to have psychological consequences due to situational stressors (e.g., fetal/infant loss, neonatal intensive care unit admission), or was considered grey literature. The Critical Appraisal Skills Programme and AXIS tools were used to guide and standardize quality appraisal assessments and determine the level of risk of bias.

RESULTS

Of the 454 articles identified, 25 articles were included for final review. A total of 14 categories of determinants were investigated: biological (5), behavioral (4), social and environmental (5). Though only 32% of studies simultaneously considered determinants under more than one domain, a pattern of interactions with the tryptophan pathway emerged. Concerns for risk of bias were noted or were unclear for three types of bias: 13 (52%) selection bias, 3 (12%) recall bias, and 24 (96%) measurement bias.

CONCLUSIONS

Future research is needed to explore interactions among determinants and the tryptophan pathway; to strengthen the methods applied to this area of inquiry; and to generate evidence for best practices in reporting, selecting, and applying methods for measuring determinants and perinatal depression.

The role of the hypothalamic-pituitary-adrenal axis in depression across the female reproductive lifecycle: current knowledge and future directions

The aim of this narrative review is to consolidate knowledge on the role of the hypothalamic-pituitary-adrenal (HPA) axis in depression pathophysiology at different reproductive stages across the female lifespan. Despite growing evidence about the impact of gonadal hormones on mood disorders, no previous review has examined the interaction between such hormonal changes and the HPA axis within the context of depressive disorders in women. We will focus on HPA axis function in depressive disorders at different reproductive stages including the menstrual cycle (e.g., premenstrual dysphoric disorder [PMDD]), perinatally (e.g., postpartum depression), and in perimenopausal depression. Each of these reproductive stages is characterized by vast physiological changes and presents major neuroendocrine reorganization. The HPA axis is one of the main targets of such functional alterations, and with its key role in stress response, it is an etiological factor in vulnerable windows for depression across the female lifespan. We begin with an overview of the HPA axis and a brief summary of techniques for measuring HPA axis parameters. We then describe the hormonal milieu of each of these key reproductive stages, and integrate information about HPA axis function in depression across these reproductive stages, describing similarities and differences. The role of a history of stress and trauma exposure as a contributor to female depression in the context of HPA axis involvement across the reproductive stages is also presented. This review advances the pursuit of understanding common biological mechanisms across depressive disorders among women. Our overarching goal is to identify unmet needs in characterizing stress-related markers of depression in women in the context of hormonal changes across the lifespan, and to support future research in women's mental health as it pertains to pathophysiology, early diagnosis, and treatment targets.

Unique Characteristics of Women and Infants Moderate the Association between Depression and Mother-Infant Interaction

Research has shown mixed results regarding the association between women's postpartum depression and mother-infant interactions, suggesting that a woman's unique experience and context may moderate how depression shapes these interactions. We examined the extent to which a woman's comorbid anxiety, her exposure to adversity, and infant characteristics moderate the relationship between depressive symptoms of women and interactions with their infants at 6 (n = 647) and 12 months (n = 346) postpartum. The methods included standardized coding of mother-infant interactions and structural regression modeling. The results at 6 months of infant age indicated that infant male sex and infant negative affectivity were risk factors for mothers' depression being associated with less optimal interactions. At 12 months of infant age, two moderators appeared to buffer the influence of depression: a woman's history of trauma and infant preterm birth (≤37 weeks gestation). The results reinforce the salience of infant characteristics in the relationship between maternal depression and mother-infant interactions. The findings also suggest that experiences of trauma may offer opportunities for psychological growth that foster constructive management of depression's potential effect on mother-infant interactions. Further research is needed to clarify the underlying processes and mechanisms that explain the influence of these moderators. The ultimate goals are to reduce the risk of suboptimal interactions and reinforce healthy dyadic relations.

Heterogeneity and associated factors of patients with polycystic ovary syndrome health behaviors: a latent class analysis

OBJECTIVE

Using latent class to analyze whether there are subtypes of health behaviors in patients with PCOS can be addressed using targeted interventions.

METHODS

October 2021 to June 2022, 471 PCOS patients were surveyed using the Health Promoting Lifestyle Profile Questionnaire. Latent class analysis (LCA) was used to identify subgroups of PCOS patients. Subsequent multinomial latent variable regressions identified factors that were associated with health behaviors.

RESULTS

A three-class subtypes was the optimum grouping classification: (1)High healthy behavior risk; (2)high healthy responsibility and physical activity risk; (3)low healthy behavior risk. The multinomial logistic regression analysis revealed that (1)Single (OR = 2.061,95% CI = 1.207-3.659), Education level is primary school or below (OR = 4.997,95%CI = 1.732-14.416), participants is student (OR = 0.362,95%=0.138-0.948), participants with pregnancy needs (OR = 1.869,95%=1.009-3.463) were significantly more likely to be in the high healthy behavior risk subtypes; (2)The older the age (OR = 0.953,95%=0.867-1.047) and the larger the WC (OR = 0.954,95%=0.916-0.993), participants is married (OR = 1.126,95%=0.725-1.961), participants is employed ( OR = 1.418,95%=0.667-3.012) were significantly more likely to be in the high health responsibility and physical activity risk subtypes.

CONCLUSION

Patients with PCOS are a heterogeneous population with potential subtypes that may be suitable for customized multi-level care and targeted interventions.

Symptom patterns and health service use of women in early adulthood: a latent class analysis from the Australian Longitudinal Study on Women's Health

BACKGROUND

Symptoms can be strong drivers for initiating interaction with the health system, especially when they are frequent, severe or impact on daily activities. Research on symptoms often use counts of symptoms as a proxy for symptom burden, however simple counts don't provide information on whether groups of symptoms are likely to occur together or whether such groups are associated with different types and levels of healthcare use. Women have a higher symptom burden than men; however studies of symptom patterns in young women are lacking. We aimed to characterise subgroups of women in early adulthood who experienced different symptom patterns and to compare women's use of different types of health care across the different symptom subgroups.

METHODS

Survey and linked administrative data from 7 797 women aged 22-27 years in 2017 from the 1989-95 cohort of the Australian Longitudinal Study on Women's Health were analysed. A latent class analysis was conducted to identify subgroups of women based on the frequency of 16 symptom variables. To estimate the associations between the latent classes and health service use, we used the "Bolck, Croon and Hagenaars" (BCH) approach that takes account of classification error in the assignment of women to latent classes.

RESULTS

Four latent classes were identified, characterised by 1) low prevalence of most symptoms (36.6%), 2) high prevalence of menstrual symptoms but low prevalence of mood symptoms (21.9%), 3) high prevalence of mood symptoms but low prevalence of menstrual symptoms, (26.2%), and high prevalence of many symptoms (15.3%). Compared to the other three classes, women in the high prevalence of many symptoms class were more likely to visit general practitioners and specialists, use more medications, and more likely to have had a hospital admission.

CONCLUSIONS

Women in young adulthood experience substantially different symptom burdens. A sizeable proportion of women experience many co-occurring symptoms across both physical and psychological domains and this high symptom burden is associated with a high level of health service use. Further follow-up of the women in our study as they enter their late 20 s and early 30 s will allow us to examine the stability of the classes of symptoms and their associations with general health and health service use. Similar studies in other populations are needed to assess the generalisability of the findings.

Clinical correlates of women endorsing premenstrual suicidal ideation: a cross-sectional study

BACKGROUND

Prevalence of premenstrual syndrome (PMS) may be as high as 13-18%, but it remains under-recognized and is associated with increased suicidal ideation (SI), plans, and attempts in epidemiological studies. The present study reports on women endorsing premenstrual SI (PMSI) and characterizes this at-risk group and its clinical correlates.

METHODS

A cross-sectional study assessed demographics, anxiety and depression severity, psychiatric diagnoses, menstrual symptoms, SI, and trauma in adult women at a major medical center over 11 months.

RESULTS

Three hundred two women were assessed. Of 153 participants endorsing premenstrual symptoms, 41 (27%) reported new or worsening concurrent premenstrual passive or active SI. Women who reported PMSI were significantly more likely to be single, unemployed, and childless as well as significantly more likely to report interference from premenstrual symptoms, histories of psychiatric hospitalization, adverse childhood events, suicide attempts, and current and past depression and anxiety compared to women without PMSI. The final regression model indicated the most significant predictors of PMSI were history of a depression diagnosis, severity of current depressive symptoms, and having experienced 3 or more childhood adverse events.

CONCLUSION

Nearly one-third of women reporting premenstrual symptoms endorsed concurrent SI, a clinically valuable demonstration of the importance of this predictable cyclic risk factor.

Changes in the comorbidity patterns of negative emotional symptoms and Internet addiction over time among the first-year senior high school students: A one-year longitudinal study

BACKGROUND

The comorbidity of psychiatric disorders and Internet addiction (IA) has been widely documented. However, changes and instability of the comorbidity between negative emotional symptoms and IA over time are not fully understood.

METHODS

A sample of 453 first-year senior high school students completed all measures three times across one-year period and were included in the current study. The sample consisted of 163 (36.0%) males and 290 (64.0%) females. At the baseline, the mean age of the participants was 15.07 ± 0.46 (range: 12-16) years old. Latent class analysis was used to identify the latent class pattern. Multinomial logistic regression analysis was utilized to examine the association between covariates and latent classes at baseline. Latent transition analysis was applied to explore the changes in latent classes of individuals over time.

RESULTS

Three subgroups of negative emotional symptoms, IA and their comorbidity were identified at all the three time points. Being Internet gamers, high average time of Internet use every day, peer exclusion, verbal and physical bullying experience, and poor self-rated health were found to be significant predictors of the high comorbidity symptom. Students were more likely to remain the same class rather than moving between the latent classes across time.

CONCLUSIONS

A better understanding of change characteristics in latent classes across time contributes to confirm an appropriate time for intervention targeted on students who converted from low symptom class to the high class.

Potential paths to suicidal ideation and suicide attempts among high-risk women

Although men are more likely to die by suicide, women experience a greater and more rapidly increasing rate of suicidal ideation (SI) and are 3 times more likely to attempt suicide than men. Despite this increased risk, little is known about factors that contribute to SI or suicide attempts (SA) among women. We examined factors associated with SI and SA among women and identified mood-related symptoms that differentiate women who reported attempting suicide from those who did not. Women at elevated risk for depression from across the U.S. (N = 3372; age 18 to 90) completed a survey regarding depression, anxiety, sociodemographic and reproductive status, behavioral/mental health history, and exposure to adversity. Structural equation modeling and logistic regression were used to analyze the data. Variables with the most significant relationships to SI were severity of depression (OR = 5.2, p = 0.000) and perceived stress (OR = 1.18, p = 0.000) while frequency of suicidal thoughts (OR = 3.3, p = 0.000), family history of a depression diagnosis (OR = 1.6, p = 0.000) and exposure to violence (OR = 1.9, p = 0.000) had the strongest association with SA. Childhood abuse/trauma was associated with SA (OR = 1.13, p = 0.000) but not SI. 'Feeling bad about themselves, a failure, or having let themselves or their family down' was the symptom that most clearly differentiated women who attempted suicide from women who reported suicidal ideation but no SA. The salience of childhood abuse and domestic/community violence to women's risk for a suicide attempt reinforces previous findings that these adversities may differentiate suicide risk for women versus men. Continued research is essential to understand varied paths that may lead to suicidal behavior among women, some which appear unrelated to the frequency or intensity of their suicidal thoughts.

Maternal Interaction With Infants Among Women at Elevated Risk for Postpartum Depression

Ample research links mothers' postpartum depression (PPD) to adverse interactions with their infants. However, most studies relied on general population samples, whereas a substantial number of women are at elevated depression risk. The purpose of this study was to describe mothers' interactions with their 6- and 12-month-old infants among women at elevated risk, although with a range of symptom severity. We also identified higher-order factors that best characterized the interactions and tested longitudinal consistency of these factors from 6 to 12 months of infant age. We leveraged data from eight projects across the United States (n = 647), using standardized depression measures and an adaptation of the NICHD Mother-Infant Interaction Scales. Overall, these depression-vulnerable mothers showed high levels of sensitivity and positive regard and low levels of intrusiveness, detachment, and negative regard with their infants. Factor analyses of maternal behaviors identified two overarching factors-"positive engagement" and "negative intrusiveness" that were comparable at 6 and 12 months of infant age. Mothers' ability to regulate depressed mood was a key behavior that defined "positive engagement" in factor loadings. An exceptionally strong loading of intrusiveness on the second factor suggested its central importance for women at elevated depression risk. Mothers with severe depressive symptoms had significantly more "negative intrusiveness" and less "positive engagement" with their 6-month-old infants than women with moderate or fewer depressive symptoms, suggesting a potential tipping point at which symptoms may interfere with the quality of care. Results provide the foundation for further research into predictors and moderators of women's interactions with their infant among women at elevated risk for PPD. They also indicate a need for evidence-based interventions that can support more severely depressed women in providing optimal care.