Mental wellbeing among urban young adults in a developing country: A Latent Profile Analysis

Maternal psychological risk and the neural correlates of infant face processing: A latent profile analysis

Maternal psychological factors, including anxiety, depression, and substance use, may negatively affect parenting. Previous works with mothers have often assessed each of these factors in isolation despite their frequent co-occurrence. Psychological factors have also been associated with neural processing of facial stimuli, specifically the amplitude (i.e., size) and latency (i.e., timing) of the face-specific N170 event-related potential. In the current study, 106 mothers completed measures assessing maternal psychological factors-anxiety, depression, and substance use. A latent profile analysis was used to identify profiles of psychological factors and assess profile associations with the N170 elicited by infant faces and with parental reflective functioning (PRF) as a measure related to caregiving. Two profiles (termed high and low psychological risk) were identified, with the higher risk profile associated with delayed N170 latency responses to infant faces. An exploratory analysis evidenced an indirect effect between the higher psychological risk profile and lower PRF through delayed N170 latency responses to infant faces. Taken together, maternal psychological risk across multiple indicators may together shape neural processing of infant faces, which may have downstream consequences for caregiving.

Structural Equation Model for Social Support and Quality of Life Among Individuals With Mental Health Disorders During the COVID-19 Pandemic

BACKGROUND

In light of the COVID-19 pandemic, the distribution of social support for mental health problems has likely become unequal. Family- and community-based social support has been recognized as a promising approach for mental disorders; however, limited global frameworks have been applied to developing countries such as Vietnam.

OBJECTIVE

The aim of this study was to evaluate the quality of life and social support among patients with mental health disorders in Vietnam and to investigate the factors associated with quality of life among these patients.

METHODS

A cross-sectional study was conducted on 222 psychiatric patients in Hanoi from 2020 to 2022. A structured questionnaire was developed based on four standardized scales: Mental Well-Being-5 scale, Multidimensional Scale of Perceived Social Support, EuroQoL-visual analog scale (EQ-VAS), and EuroQoL-5 dimensions-5 levels (EQ-5D-5L) scale. Tobit regression was used to identify factors associated with the EQ-5D-5L and EQ-VAS scores. Structural equation modeling was applied to verify the relationship between quality of life and social support.

RESULTS

The results showed that perceived support from family scored the highest compared to support from friends and significant others. Patients with depression reported the lowest quality of life and perceived social support. Structural equation modeling showed a root mean square error of approximation of 0.055 (90% CI 0.006-0.090), comparative fit index of 0.954, Tucker-Lewis index of 0.892, and standardized root mean squared error of 0.036 (P<.001). The hypothetical model indicated statistically significant correlations between EQ-VAS score and social support (P=.004), EQ-5D-5L and mental well-being (P<.001), and social support and mental well-being (P<.001). Critical deterioration of quality of life and inconsistency in social support for patients with mental illness were also recorded.

CONCLUSIONS

There is a need to enhance social support and service delivery in Vietnam, focusing on occupation and quality of life. The correlations between social support, quality of life, and mental health issues suggest the potential of a clinical-social integrated intervention model of care.

Determinants of health-seeking behaviors among middle-aged women in Vietnam's rural-urban transition setting

Introduction

The purpose of this study is to identify the health status and healthcare utilization factors associated with middle-aged women in the rapid urbanization context of Vietnam.

Methods

A cross-sectional study with a systematic random sampling technique was conducted in Hung Yen city. A systematic random sampling technique was used to select a sample size of 362 middle-aged women. The collected data included socioeconomic characteristics, health issues, health service utilization, and social support for women in both urban and rural areas. Multivariate regression models were used to determine factors associated with health service utilization and the number of inpatient/outpatient visits.

Results

Among 362 participants, the main chronic diseases were diabetes (12.8%), cardiovascular diseases (11.3%), and migraines (9.5%). The proportion of using inpatient and outpatient services among middle-aged women was relatively high (35.8 and 61%, respectively). Women having more support from family and friends were less likely to seek healthcare. Living in rural areas significantly increased the number of inpatient treatments. Regarding health service utilization, the percentage of people using outpatient treatment services accounted for 61.0%, while using inpatient treatment services was reported as 35.8%. The average number of outpatient and inpatient visits per participant were 1.3 and 0.9, respectively.

Conclusion

This study revealed a relatively high rate of using healthcare services among women at midlife in a rapidly industrializing city in Vietnam. Screening programs should be implemented for early detection and treatment of chronic diseases in middle-aged women, especially for diabetes. Communication strategies should be adapted to raise awareness of rural women about regular health checkups, and counseling services of healthcare providers should be strongly reinforced. Lifestyle interventions and health promotion programs involving social support should be implemented to improve wellbeing and healthcare-seeking behaviors among middle-aged women.

The Effect of Child Trauma on the Relation between Psychological Well-Being and Depressive Symptoms in Chilean University Students

(1) Background: There is consistent evidence of the impact of early adverse experiences on mental health in adulthood, especially as a risk factor for depression. However, their influence on positive aspects of mental health such as well-being has been less extensively studied. Therefore, this study aims to investigate the effect of traumatic childhood experiences on the relationship between depression and psychological well-being in a sample of university students. (2) Methods: The Childhood Trauma Questionnaire-Short Form (CTQ-SF), the Beck Depression Inventory (BDI-IA), and Ryff's psychological well-being scale were administered to 700 Chilean university students. Several regression models were used to analyze the interaction between variables, with multivariate SEM being applied to hierarchize the relationships found. (3) Results: Emotional Neglect and Abuse stand out as the types of maltreatment with the greatest impact on mental health, associated first with a decrease in the self-acceptance dimension of psychological well-being and then with depressive symptomatology in adulthood. (4) Conclusions: Results provide evidence that early trauma has an important impact on mental health, increasing the risk of depression, however, its impact is greater on positive aspects of health, such as self-acceptance, a fundamental element in the construction of psychological well-being.