Rate and Predictors of Persistent Major Depressive Disorder in a Nationally Representative Sample

Family strain, but not family support, is linked to worse pain interference among midlife adults reporting new chronic pain

INTRODUCTION

Although family relationship quality has been linked to later chronic pain incidence for aging adults, it is unclear whether the quality of these relationships is linked to the impact of pain. We estimated longitudinal associations between family relationship quality (i.e., family support and family strain) and pain interference for adults who develop novel chronic pain across 10 years of midlife.

METHOD

We conducted a secondary analysis of data from the Midlife in the United States (MIDUS) study. Using path analysis, we tested whether family support and strain reported by participants (54% female, age M = 54.8 years) who denied having chronic pain at the study's second wave (MIDUS 2, 2004-2006) but reported chronic pain 10 years later (MIDUS 3, 2014-2016; N = 406) was associated with the interference of that pain with daily activities after accounting for key covariates, including sociodemographics, depression symptoms, global physical health, and MIDUS 3 reports of family support and strain.

RESULTS

The hypothesized model demonstrated good fit to the data based on multiple model fit indices. Greater family strain at baseline, but not family support, was significantly associated with greater pain interference 10 years later.

DISCUSSION

Findings build on prior studies to suggest that not only are stressful family relationships likely associated with the odds of developing chronic pain, but they are also linked to the interference of that chronic pain when it develops. We recommend biopsychosocial screening in primary care that captures family relationship quality and can inform best practices for nonpharmacological, family-based pain management. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Loneliness and depression among adults living on MS Gulf Coast: Individual, interpersonal and community predictors

Loneliness and depression are mental health problems prevailing in United States as well as the world. The primary goal of this study was to identify risk and protective factors associated with loneliness and depression at the individual, interpersonal and community levels among adults living on Mississippi Gulf Coast. Survey data on 310 adults from three coastal counties was analysed. Bivariate analyses and multiple logistic regression analyses were performed to determine correlates and predictors of loneliness and depression. Bivariate analyses showed that loneliness was correlated with marital status, insurance, income, perceived social support and community resilience. Depression was found to be correlated with marital status, insurance, education, income, perceived social support and community resilience. As expected, a significant correlation was found between loneliness and depression. Multiple logistic regression analyses revealed that race, marital status, income, perceived social support and community resilience predicted loneliness, while income and perceived social support served as predictors of depression. Results make it clear that in addition to addressing individual and interpersonal factors, community is important in reducing the incidence of loneliness.

Why Do Users of Online Mental Health Communities Get Likes and Reposts: A Combination of Text Mining and Empirical Analysis

An online community is one of the important ways for people with mental disorders to receive assistance and obtain support. This study aims to help users with mental disorders to obtain more support and communication through online communities, and to provide community managers with the possible influence mechanisms based on the information adoption model. We obtained a total of 49,047 posts of an online mental health communities in China, over a 40-day period. Then we used a combination of text mining and empirical analysis. Topic and sentiment analysis were used to derive the key variables—the topic of posts that the users care about most, and the emotion scores contained in posts. We then constructed a theoretical model based on the information adoption model. As core independent variables of information quality, on online mental health communities, the topic of social experience in posts (0.368 ***), the topic of emotional expression (0.353 ***), and the sentiment contained in the text (0.002 *) all had significant positive relationships with the number of likes and reposts. This study found that the users of online mental health communities are more attentive to the topics of social experience and emotional expressions, while they also care about the non-linguistic information. This study highlights the importance of helping community users to post on community-related topics, and gives administrators possible ways to help users gain the communication and support they need.

Brexpiprazole for the Treatment of Schizophrenia and Major Depressive Disorder: A Comprehensive Review of Pharmacological Considerations in Clinical Practice

Mood and psychotic disorders are a group of illnesses that affect behavior and cognition. Schizophrenia is characterized by positive symptoms, such as delusions and hallucinations, as well as negative symptoms. Major depressive disorder (MDD) is a mood disorder that affects the patient's emotions, energy, and motivation. Brexpiprazole works as a partial agonist at serotonin 5-hydroxytryptamine1A and dopamine D2 receptors and an antagonist at serotonin 5-hydroxytryptamine2A. Schizophrenia and MDD have a wide range of risk factors, both biological and environmental. Third generation antipsychotics, which include brexpiprazole, are the latest group of drugs to reach the market, demonstrating efficacy and tolerability. Patients with acute schizophrenia have responded well to brexpiprazole. In this regard, in patients who have MDD plus anxiety symptoms, brexpiprazole can be effective as an adjunctive therapy and can reduce anxiety symptoms. In summary, brexpiprazole has proved to be an effective alternative to typical or first and second-generation atypical antipsychotics.

Brain Disorders and Chemical Pollutants: A Gap Junction Link?

The incidence of brain pathologies has increased during last decades. Better diagnosis (autism spectrum disorders) and longer life expectancy (Parkinson's disease, Alzheimer's disease) partly explain this increase, while emerging data suggest pollutant exposures as a possible but still underestimated cause of major brain disorders. Taking into account that the brain parenchyma is rich in gap junctions and that most pollutants inhibit their function; brain disorders might be the consequence of gap-junctional alterations due to long-term exposures to pollutants. In this article, this hypothesis is addressed through three complementary aspects: (1) the gap-junctional organization and connexin expression in brain parenchyma and their function; (2) the effect of major pollutants (pesticides, bisphenol A, phthalates, heavy metals, airborne particles, etc.) on gap-junctional and connexin functions; (3) a description of the major brain disorders categorized as neurodevelopmental (autism spectrum disorders, attention deficit hyperactivity disorders, epilepsy), neurobehavioral (migraines, major depressive disorders), neurodegenerative (Parkinson's and Alzheimer's diseases) and cancers (glioma), in which both connexin dysfunction and pollutant involvement have been described. Based on these different aspects, the possible involvement of pollutant-inhibited gap junctions in brain disorders is discussed for prenatal and postnatal exposures.

Stability and transition of depression subtypes in late life

BACKGROUND

The heterogeneity of late-life depression hampers diagnosis and treatment. Data-driven methods have identified several subtypes of depression in older persons, but the longitudinal stability of these subtypes remains unknown.

METHODS

In total 111 older persons with a major depressive disorder both at baseline and 2-year follow-up from the Netherlands Study of Depression in Older persons (NESDO) were included. Latent class analysis was performed to identify subtypes of depression at baseline and at 2-year follow-up, and latent transition analysis was used to examine the stability of these subtypes over time. Transition rates between subtypes and characteristics of groups were examined.

RESULTS

Two subtypes were identified in both baseline (T0) and follow-up data (T1), including a 'melancholic' subtype (prevalence 80.2% (T0) and 62.2% (T1)), and an 'atypical' subtype (prevalence 19.8% (T0) and 37.8% (T1)). The melancholic subtype was characterized by decreased appetite and weight and had a stability of 0.86. The atypical subtype was characterized by increased appetite and weight and had a stability of 0.93, although the discriminating power of different symptoms had decreased at T1. Mean age and education differed significantly between stable and transitioning subgroups, other characteristics did not differ between subgroups.

LIMITATIONS

Limited sample size might have hampered the analyses.

CONCLUSIONS

Subtypes of late-life depression are relatively stable, but symptoms of depression (like weight loss) seem to blur with symptoms of (patho)physiological aging. This underlines the clinical relevance of depression subtyping, but also the importance of further research into subtypes and the influence of aging.

Close relationships as a contributor to chronic pain pathogenesis: Predicting pain etiology and persistence

RATIONALE

Chronic stress contributes to the pathogenesis of chronic pain. Yet, the role of close relationship stress in these pathways to pain is not fully understood.

OBJECTIVE

To delineate specific psychosocial pathways associated with chronic pain, specifically emphasizing close relationships for midlife adults. We tested whether relationship strain, relationship support, social integration, depression, anxiety, and pain severity predict chronic pain etiology and persistence over 10 years, highlighting specific associations for acute versus chronic pain.

METHOD

Using data from the National Survey of Midlife in the U.S. (MIDUS 2 and 3, collected in 2004-2006 and 2013-2014, respectively), we used logistic regression to test the etiology of new chronic pain (n = 1591) and persistence of pain for adults with acute (n = 352) and chronic pain (n = 367) conditions at baseline.

RESULTS

Of participants who reported they did not have chronic pain at baseline, the development of chronic pain 10 years later was significantly associated with baseline family strain (OR = 1.38, p < .01). For participants with acute pain at baseline, the transition of this pain to chronic a decade later was significantly associated with initial reports of pain interference (OR = 1.24, p < .001), family support (OR = 0.60, p < .05), and depression (OR = 1.20, p < .05). Persistent chronic pain was solely associated with baseline pain interference (OR = 1.21, p < .01).

CONCLUSIONS

Family strain is an important part of the chronic stress profile associated with chronic pain etiology, whereas family support is associated with a reduced risk of acute pain transitioning to chronic pain over time. Prioritizing family relationships in treatment approaches to pain may be an indicated, innovative approach to preventing pain development and escalation and requires systems training in healthcare.

Factors of Mental Health Service Utilization by Community-Dwelling Adults in Shanghai, China

This study investigated the utilization of Mental Health Services (MHS) and associated predisposing, enabling, and need factors among residents of Shanghai, China. It used a cross-sectional design and a structured questionnaire. We selected 3502 residents aged 18 years and older through multi-stage, stratified random sampling; trained mental health personnel interviewed them. Multivariate logistic regression analysis explored the predictors of MHS utilization. Among respondents, approximately 21.4% reported depressive symptoms, whereas only 4.7% had utilized MHS. The factors that were significantly related to MHS utilization were the predisposing factors of gender, marital status, occupation, and mental health knowledge; the enabling factors of perceived need for mental health help, regular mental health resources, and government salvage objects; and the need factors of moderate and severe depressive symptoms. Underutilization of MHS in Shanghai is pervasive and worrisome. Interventions in the culture and environment to improve public mental health knowledge are crucial.

Three Approaches to Understanding and Classifying Mental Disorder: ICD-11, DSM-5, and the National Institute of Mental Health’s Research Domain Criteria (RDoC)

The diagnosis of mental disorder initially appears relatively straightforward: Patients present with symptoms or visible signs of illness; health professionals make diagnoses based primarily on these symptoms and signs; and they prescribe medication, psychotherapy, or both, accordingly. However, despite a dramatic expansion of knowledge about mental disorders during the past half century, understanding of their components and processes remains rudimentary. We provide histories and descriptions of three systems with different purposes relevant to understanding and classifying mental disorder. Two major diagnostic manuals—the International Classification of Diseases and the Diagnostic and Statistical Manual of Mental Disorders—provide classification systems relevant to public health, clinical diagnosis, service provision, and specific research applications, the former internationally and the latter primarily for the United States. In contrast, the National Institute of Mental Health’s Research Domain Criteria provides a framework that emphasizes integration of basic behavioral and neuroscience research to deepen the understanding of mental disorder. We identify four key issues that present challenges to understanding and classifying mental disorder: etiology, including the multiple causality of mental disorder; whether the relevant phenomena are discrete categories or dimensions; thresholds, which set the boundaries between disorder and nondisorder; and comorbidity, the fact that individuals with mental illness often meet diagnostic requirements for multiple conditions. We discuss how the three systems’ approaches to these key issues correspond or diverge as a result of their different histories, purposes, and constituencies. Although the systems have varying degrees of overlap and distinguishing features, they share the goal of reducing the burden of suffering due to mental disorder.