Infant and Early Childhood Mental Health Consultation (IECMHC) is a preventative intervention that is theorized to mediate its impacts through the consultative stance, described as a consultant's "way of being" in relationship. However, limited tools are available to measure the elements of the consultative stance or the degree to which consultants and supervisors assess its implementation. This study describes the conceptualization, development, and piloting of a set of tools in the United States measuring the consultative stance for use by consultants and supervisors, the Consultative Stance Learning and Measurement tools (CSLM). The CSLM includes the Consultant Self Reflection (CSR) and the Supervisor Survey (SS). Seventy-six consultants and 28 supervisors completed the tools at least once, with 48 consultants completing the tool at three timepoints. A confirmatory factor analysis (CFA) tested the theorized latent structure of the tool, providing good support for the CSR and moderate support for the SS. Over time, consultants and supervisors increasingly aligned in their perceptions of consultant implementation of the consultative stance, though consultants rated their implementation lower than supervisors. The tools advance the field's capacity to measure the impact of IECMHC and provide targeted information for ongoing reflective supervision and training, as consultants develop their practice.

The landscape of nutrition support faces challenges, including rising costs, product shortages, reimbursement gaps, and infusion providers closing. This nationwide survey aimed to describe the perceptions and attitudes related to costs, therapy access, and mental health among households with at least one family member requiring enteral nutrition, parenteral nutrition, or a combination of the two.

A 10-item online survey was available for 8 weeks to households of adult (>18 years old) and pediatric patients (1-17 years old) currently receiving or who had received enteral or parenteral nutrition at home within the past 12 months. The survey explored beliefs and attitudes regarding financial impact, access to care, food security, coping mechanisms, and mental health.

Of the 182 participants, 42.9% were on enteral nutrition, 32.4% were on parenteral nutrition, and 24.7% were both. Overall, 52% reported a degree of financial concern due to nutrition therapy costs. About 51% of families described difficulties obtaining nutrition therapy related to cost or insurance coverage. A total of 52.7% of households reported worrying about food security. Over half, 63.7%, reported an impact on their mental health.

Our findings support that various factors, including the cost of therapy, can negatively impact the economic stability and mental health of families with a member on enteral or parenteral nutrition. These findings highlight the importance of screening for social determinants of health to identify opportunities for intervention through the provision of additional resources and patient advocacy.

Social participation is a key determinant of mental well-being in later life, yet population based research tends to focus on overall activity rather than on how participation is configured. In digitalized societies, unequal access to digital technologies shapes how older adults combine online and offline participation, with important but poorly understood implications for mental health.

Using data from 8,427 adults aged 60 years and older in China, this study applied latent class analysis to identify patterns of digital and offline social participation based on eight indicators. Multinomial logistic regression was used to examine sociodemographic and health correlates of class membership. Multiple linear regression and covariate adjusted means were used to assess associations between participation patterns, depressive symptoms, and life satisfaction.

Four participation classes were identified: Digital active, Offline active, Digital-offline active, and Low participation. Participation configurations were strongly stratified by age, education, residence, and health status. After adjusting for covariates, older adults in the Digital active and Digital-offline active classes reported significantly lower depressive symptoms and higher life satisfaction than those in the Offline active class, while individuals in the Low participation class showed intermediate mental health outcomes.

Mental well-being in later life depends not only on whether older adults are socially active but on how digital and offline participation are configured. In a digitally transforming society, digital engagement appears to function as a socially structured psychosocial resource, contributing to inequalities in mental well-being across later life.

Work-life balance (WLB) is a critical determinant of psychosocial well-being among nurse educators, particularly in high-pressure Nursing Education Institutions (NEIs). In South Africa, nurse educators face mounting demands from teaching, clinical supervision, and administrative duties, often resulting in emotional exhaustion and stress.

This study explored the psychosocial impact of work-life balance among nurse educators in Gauteng, with a focus on developing support strategies.

Selected Nursing Education Institution in Gauteng Province, South Africa.

A qualitative, exploratory, and descriptive research design was employed, involving semi-structured interviews with purposively selected non-probability nurse educators. Data was analysed thematically to identify key psychosocial challenges related to work-life balance.

The analysis revealed two primary themes: the first pertained to the negative consequences of stress and burnout, including adverse effects on physical and mental health, as well as emotional exhaustion stemming from work-related frustrations. The second theme highlights the inadequacies of support systems, including limited access to counseling services, insufficient support for academic pursuits, and social challenges.

The study highlighted the urgent need for institutional reforms that promote psychosocial resilience among nurse educators. Strategies such as flexible scheduling, peer support networks, and wellness programmes may enhance work-life balance and improve educational outcomes. These insights are vital for informing policy and practice within South African nursing education.

Self-rated health (SRH) is a common measure for examining gender differences in health. However, it is unclear if men and women assess similar health factors in their ratings, particularly outside the US. This study expands on previous research in Germany, Italy, and Sweden-countries with varying gender norms.

We analyze how chronic conditions, mental health, physical functioning, and health behaviors affect SRH ratings among 50,912 respondents aged 50-79, using panel data from SHARE and HRS and random effects multinomial logistic models.

Our findings indicate that women in the US and Italy are less likely than men to report very good health, while no gender differences were found in Germany and Sweden. Additionally, women in all countries except Germany were more likely to report poor health. Despite variations in gender gaps in SRH across the four countries, the underlying meaning of SRH did not differ between men and women, as health indicators contributed comparably to their ratings. The only exception was mental health, where women reported better SRH than men despite similar levels of depression.

Overall, our results suggest that SRH is a comparable measure for assessing gender differences in health across these countries.

Self-rated health is a robust measure of overall health status, encompassing an individual's physical, mental, and social health. This multidimensional characteristic highlights the potential of this variable in studies conducted in regions affected by major disasters. This study assessed the prevalence of poor self-rated health and its association with sociodemographic factors, health behaviors, multimorbidity, and place of residence among adult residents of Brumadinho, Minas Gerais State, Brazil, following the collapse of a mining tailings dam.

It is a cross-sectional study based on baseline data from the Brumadinho Health Project, which was conducted in 2021 and included 2,771 individuals aged 18 years or older. The outcome variable was poor self-rated health, while the exploratory variables included sociodemographic characteristics, health behaviors, multimorbidity, and place of residence (area directly affected by the disaster; region with mining activity; unexposed). The association between exploratory variables and the outcome was evaluated using logistic regression.

The prevalence of poor self-rated health was 6.4% in the municipality's population, being higher in the region directly affected by the tailings mud (12.7%). The likelihood of perceiving health as poor or very poor was higher among women, current smokers, and those with multimorbidity and lower among those who reported consuming alcoholic beverages one or more times per month. Engaging in physical activities at recommended levels reduced the likelihood of poor self-rated health, but only among the unexposed - residents in areas unaffected by mud and without mining activity (p interaction = 0.002).

These results demonstrate that the residential context modifies the effect of physical activity on self-rated health, such that residents in areas affected by tailings mud or with mining activity do not benefit from engaging in physical activity at recommended levels, at least regarding health perception. Greater efforts to improve environmental conditions may be necessary in regions impacted by major disasters or environmental degradation due to mining processes.

First responders experience elevated rates of posttraumatic stress disorder (PTSD) depression, and other stress-related conditions due to frequent exposure to critical incidents. Despite the increasing availability of mental health services, utilization among first responders remains low with stigma consistently cited as a primary barrier to treatment. The Police Officer Stigma Scale (POSS) was developed to measure occupational stigma toward mental illness in law enforcement, but its factor structure remains contested. While Stuart proposed a single-factor solution, other sources found evidence for a two-factor model encompassing fear of disclosure and perceived maltreatment of colleagues. The current study sought to confirm the factor structure of the POSS using a large sample of 1,275 Florida first responders (firefighters, law enforcement officers, and dispatchers). Confirmatory factor analysis (CFA) compared single and two-factor solutions using maximum likelihood estimation with robust standard errors. Notably, the present study evaluates an adapted version of the POSS applied across multiple first responder groups rather than exclusively validating the original police specific instrument. Results supported the optimality of the two-factor model over the single-factor model. The two-factor model yielded lower RMSEA and SRMR values, higher CFI and TLI indices, and significantly improved fit by Satorra-Bentler chi-square difference testing. Findings provide evidence that stigma toward mental health among first responders is best conceptualized as a multidimensional construct involving self-stigma and perceived public stigma. These results inform future psychometric research, stigma reduction interventions, and policy efforts aimed at improving help-seeking behaviors within the first responder community.

The aim of this study was to explore the differential associations of mentally active versus passive sedentary behavior with burnout among nurses.

A cross-sectional study was conducted among 1,132 nurses in Zhejiang, China, daily SBs were self-reported with The Chinese Adult Sedentary Behavior Questionnaire and burnout was measured by Maslach Burnout Inventory-Human Services Survey.

Nurses who accumulated more than 4 h/day of mentally active SBs (working, reading, hobbies, transportation, and chatting) had 47% lower burnout odds than those who reported less than1 h/day (OR = 0.53; 95% CI 0.33-0.86); this inverse association remained after excluding transport-related SB. Mentally passive SB showed no significant association.

Engaging in mentally active sedentary behavior was associated with lower odds of burnout among nurses.

Postpartum depression, anxiety, and reduced health related quality of life (HRQoL) are common in the first year after childbirth, a period characterized by marked hormonal fluctuations, sleep disruption, and psychosocial role transitions that increase vulnerability to emotional distress, and have substantial consequences for maternal and child well-being. Aerobic exercise is increasingly recommended as a low-risk behavioral strategy, as it has been shown to improve mood, reduce stress, and modulate neurobiological pathways associated with depression, yet its effectiveness and optimal prescription parameters for postpartum mental health remain unclear. This study evaluated the effects of aerobic exercise on depressive symptoms, anxiety, and HRQoL, and characterized corresponding dose response patterns.

PubMed, Embase, CENTRAL, Web of Science, and Google Scholar were searched from inception to 31 October 2025. Randomized controlled trials lasting at least four weeks and comparing structured aerobic exercise with inactive or minimal control conditions were included. Outcomes were depressive symptoms, anxiety, and HRQoL assessed using validated instruments. Random effects meta-analyses generated standardized mean differences (SMDs). Dose response relationships were examined using model-based methods.

Seventeen trials involving 2,865 women met inclusion criteria. Aerobic exercise significantly reduced depressive symptoms (SMD - 0.37, 95% CI - 0.60 to -0.14), with larger improvements in women with baseline depression and in interventions delivered postpartum. Dose response analysis showed a U-shaped pattern, with maximal benefit at approximately 570 MET minutes per week. No significant effect was found for anxiety (SMD - 0.11, 95% CI - 0.31 to 0.09). Aerobic exercise improved HRQoL (SMD 0.45, 95% CI 0.29 to 0.60), and an inverted U-shaped dose response indicated optimal gains near 420 MET minutes per week.

Aerobic exercise reduces postpartum depressive symptoms and improves HRQoL. Optimal effects were observed at approximately 570 MET minutes per week for depression and 420 MET minutes per week for HRQoL, suggesting that a weekly volume of 400 to 600 MET minutes may be a practical target in postpartum care. Evidence remains insufficient to confirm anxiolytic effects.

Nurses work under high pressure for a long time and are prone to anxiety, depression and other adverse emotions. Due to the nature of their work as well as time and space constraints, it is often difficult for them to pay attention to their own mental health problems in a timely manner. Digital mental health support can give nurses support to a certain extent and effectively relieve their stress. The aim of this study is to investigate and analyze nurses' demand for digital mental health support, to provide reference for the development of digital psychological interventions, and to provide a decision-making basis for the construction of a precise psychological support system and digital platform.

This study employed the Kano model as an analytical tool to classify nurses' needs for digital mental health support. A cross-sectional survey was conducted with 1,571 nurses using a questionnaire developed through literature review and semi-structured interviews. The questionnaire included 26 items representing potential digital mental health features. For each item, participants answered paired functional and dysfunctional questions. Responses were classified into must-be, one-dimensional, attractive, and indifferent attributes using the standard Kano evaluation table. These demand attributes were then combined with the importance-satisfaction matrix to quantify the sensitivity of demand improvement.

Of the 26 needs, 8 were classified as must-be attributes, 8 as one-dimensional attributes, 7 as attractive attributes and 3 as indifferent attributes. Nurses rated the importance index of the digital mental health support demand items from -0.62 to -0.15, and satisfaction index from 0.34 to 0.62.

The KANO model was applied to identify and categorize the different attributes of nurses' digital psychological support needs, offering targeted recommendations and strategies to address these needs, thereby providing a foundation for digital psychological interventions for nurses. Nursing managers can combine the results of Kano model analysis in the importance-satisfaction matrix to improve and satisfy nurses' demand for psychological support, so as to reduce their psychological pressure, improve job satisfaction, and lay the foundation for cultivating a high-level nursing team and promoting the high-quality development of nurses' career.