BACKGROUND

Mental health literacy (MHL) is an important mental health strategy since it contributes to early detection, enhances help-seeking behavior, and reduces stigma and discrimination against people with mental disorders.

The objectives of the present study were to assess the level of mental health literacy and its correlation, and to examine the predictive effect of demographic profiles on mental health literacy among young and adult populations in the five cities of Caraga, using a standardized mental health literacy scale in 2023.

This study applied a cross-sectional survey. It surveyed 729 individuals from five cities in Caraga using the Mental Health Literacy Scale from Dias et al. Descriptive analysis, such as frequency, percentage, mean, and standard deviation, and inferential statistics, such as Pearson correlation, independent t-test, and multi-linear regression, were used for data analysis.

The mental health literacy of the young and adult populations can be classified as adequate or good. Zooming in on details, the respondents have a very good understanding of help-seeking behavior and self-strategies but only a good understanding of knowledge and beliefs/attitudes. Pearson’s correlation analysis revealed a significant positive relationship between knowledge, erroneous beliefs, self-strategies, and help-seeking behavior (p < 0.001). In addition, Independent t-test and ANOVA revealed significant differences in sex, family income, employment, civil status, educational level, and age group (p < 0.01). A multiple linear regression indicated that demographic profile predictors were found to be statistically significant, and positively with mental health literacy, with education and family income as the strongest predictors.

The present study concluded that the young and adult populations in the five cities in Caraga have adequate literacy on mental health, encompassing knowledge, beliefs, self-strategies, and help-seeking behaviors. The increases in knowledge, belief, and self-strategies are associated with their higher level of help-seeking; in addition, the demographic profiles (e.g., sex, age, education, monthly income, and employment) have implications on young and adults’ mental health literacy in the five cities in Caraga. The result may not be generalizable beyond the studied region or demographic. In addition, it recommended that mental health literacy programs prioritize individuals with lower levels of education and family income as these factors Xwere found to have the most significant influence.

Cardiovascular diseases and psychological disorders represent two major threats to human physical and mental health. Research on electrocardiogram (ECG) signals offers valuable opportunities to address these issues. However, existing methods are constrained by limitations in understanding ECG features and transferring knowledge across tasks. To address these challenges, this study developed a multi-resolution feature encoding network based on residual networks, which effectively extracted local morphological features and global rhythm features of ECG signals, thereby enhancing feature representation. Furthermore, a model compression-based continual learning method was proposed, enabling the structured transfer of knowledge from simpler tasks to more complex ones, resulting in improved performance in downstream tasks. The multi-resolution learning model demonstrated superior or comparable performance to state-of-the-art algorithms across five datasets, including tasks such as ECG QRS complex detection, arrhythmia classification, and emotion classification. The continual learning method achieved significant improvements over conventional training approaches in cross-domain, cross-task, and incremental data scenarios. These results highlight the potential of the proposed method for effective cross-task knowledge transfer in ECG analysis and offer a new perspective for multi-task learning using ECG signals.
Humans ; Electrocardiography/methods* ; Mental Health ; Algorithms ; Signal Processing, Computer-Assisted ; Machine Learning ; Arrhythmias, Cardiac/diagnosis* ; Cardiovascular Diseases ; Neural Networks, Computer ; Mental Disorders

INTRODUCTION

Mental health plays a crucial role in overall well-being, yet stigma and misconceptions persist, even among future healthcare professionals. This study assessed medical students’ knowledge, attitudes, and perceptions (KAP) regarding mental health and explored their association with sociodemographic characteristics.

We conducted an analytical cross-sectional study among 270 medical students at a private Philippine university from September to October 2023. Participants completed a validated questionnaire. Descriptive statistics, Spearman’s correlation, and odds ratios were calculated.

Most respondents exhibited high knowledge (80.7%), positive attitudes (90.4%), and favorable perceptions (95.6%) toward mental health. Students who had not interacted with individuals with mental illness were 2.87 times more likely to display negative attitudes (OR = 2.87, 95% CI: 1.19–6.90, p = 0.015). Attitude and perception showed a moderate positive correlation (r = 0.409, p < 0.001), while knowledge and perception demonstrated a weak negative correlation (r = -0.129, p = 0.034).

These medical students generally possessed good knowledge, positive attitudes, and perceptions regarding mental health. Academic progression and real-life exposure positively influence attitudes, highlighting the need for experiential learning to reduce stigma and promote empathy in medical training.

BACKGROUND/INTRODUCTION

Depression affects millions worldwide and is a major public health concern. Its prevalence is influenced by multiple factors, including sociodemographic elements such as age, gender, and income. In the Philippines, depression affects a significant portion of the population, particularly in rural areas. The Region 2 Trauma Medical Center (R2TMC) in Nueva Vizcaya plays a critical role in addressing mental health issues in the Cagayan Valley Region, with a notable rise in depression cases during the COVID-19 pandemic. This study aimed to explore the correlation between sociodemographic factors and depression in patients at R2TMC.

This study aimed to assess the relationship between depression and various sociodemographic factors (age, sex, marital status, income, education, etc.) among patients seeking mental health services at R2TMC. The goal is to identify the prevalence of depression within these subgroups and evaluate how sociodemographic characteristics correlate with depression.

A retrospective correlational study was conducted from June 2022 to June 2024, analyzing patient records from R2TMC’s Mental Health Outpatient Department. The sample included patients diagnosed with depression based on DSM-V criteria. Descriptive statistics and multiple logistic regression were employed to analyze the data, with ethical approval obtained from the Institutional Review Board. There were 432 participants and data were analyzed using IBM SPSS.

Findings showed varying depression prevalence across sociodemographic categories. The 19-59 age group exhibited the highest depression rates, particularly among females, single individuals, and those in lower-income classes. Unemployed respondents and those with lower educational attainment had higher depression prevalence. These patterns highlight the need for targeted mental health interventions.

The study suggests that depression interventions should be tailored to address the unique vulnerabilities of different sociodemographic groups. Policymakers and healthcare providers should consider these factors to improve mental health care accessibility and effectiveness.

BACKGROUND: Deterioration in lifestyle associated with poor mental health could be an important concern during the coronavirus disease 2019 (COVID-19) pandemic. However, few studies have investigated the association between mental health status and lifestyle changes during the pandemic in nationwide Japanese general population. METHODS: This cross-sectional study was conducted using the data among 1,546 participants of the follow-up study of NIPPON DATA2010 in 2021. Recent mental status, as assessed using the Kessler 6 (K6) scale, and lifestyle changes compared to before the pandemic were determined using self-reported questionnaires. Some lifestyle changes such as decreased physical activity were defined as undesirable, whereas others such as decreased alcohol drinking were defined as desirable. The participants were divided into three groups based on the K6 scores: the K6<5, 5≤K6<9, and K6≥9 groups. The odds ratios (ORs) and 95% confidence intervals (CIs) of the K6 groups for each lifestyle change compared with that in the K6<5 group were estimated after adjusting for possible confounders. RESULTS: The ORs of the K6≥9 group for all undesirable lifestyle changes were significantly high, especially increased alcohol drinking (OR 4.64; 95% CI, 2.71-7.93), and decreased physical activity (OR 4.63; 95% CI, 3.29-6.52). Among the desirable changes, the OR of the 5≤K6<9 group was significantly high for increased eating home cooking. CONCLUSIONS Poor mental health showed a significant association with undesirable lifestyle changes, especially increased alcohol drinking and decreased physical activity, in a nationwide general Japanese population during the COVID-19 pandemic.
Humans ; COVID-19/epidemiology* ; Japan/epidemiology* ; Male ; Female ; Mental Health/statistics & numerical data* ; Middle Aged ; Cross-Sectional Studies ; Life Style ; Adult ; Aged ; Exercise ; Alcohol Drinking/epidemiology* ; SARS-CoV-2 ; Pandemics ; East Asian People

BACKGROUND: Exposure to environmental noise may have a negative impact on a population's mental health. We estimated the prevalence of exposure perception to high environmental noise in the Valencian Community, a region on the Mediterranean coast of Spain, and analysed its association with poor mental health risk, adjusting for demographic, socioeconomic and health status variables. METHODS: Cross-sectional study based on a sample of 5.485 subjects, aged 15 or above, of the 2016 Valencian Community Health Survey. The risk of poor mental health was assessed via Goldberg's questionnaire, a highly standardized self-reported questionnaire designed to screen for general psychological distress in the general population. Noise perception were determined in the home environment based on individuals' responses to the Valencian Survey question about external noise problems. Sociodemographic variables, such as sex, age, level of education, or country of birth, and health variables, such as self-perceived health, or chronic diseases, were also considered. Logistic regression was used to estimate the Odds Ratios and confidence intervals of association between variables according to sex. RESULTS: The prevalence of poor mental health was 26.2% [n = 2665; 95% CI: 24.5-27.9] in men and 33.6% [n = 2820; 95% CI: 31.9-35.3] in women. A total of 7.8% [n = 5485; 95% CI: 6.8-8.8] presented exposure to high noise perception, with no differences according to sex. Being at risk of poor mental health was significantly associated (p < 0.05) with high noise perception after adjusting for the rest of the variables (OR: 2.16 [95% CI: 1.46-3.19] in men; 2.46 [95% CI: 1.72-3.50] in women). CONCLUSIONS Although the prevalence of exposure perception to high noise was not very high, population subgroups presenting high values were detected. High noise perception was related to the risk of poor mental health, regardless of other variables. Poor mental health risk was associated with exposure perception to high noise, other socioeconomic determinants, and health status. Improving noise exposure conditions could reduce the risk of poor mental health.
Humans ; Spain/epidemiology* ; Male ; Female ; Adult ; Middle Aged ; Noise/adverse effects* ; Cross-Sectional Studies ; Young Adult ; Adolescent ; Environmental Exposure/adverse effects* ; Aged ; Mental Health/statistics & numerical data* ; Prevalence ; Mental Disorders/epidemiology* ; Risk Factors

BACKGROUND: Supporting the mental health of researchers is essential to maintaining human resources and advancing science. This study investigated the association between Japanese medical researchers' perceptions of research evaluation processes and their psychological well-being. METHODS: We performed a web-based self-administered questionnaire survey. The questionnaires were distributed to each academic society through the Japanese Association of Medical Sciences from December 2022 to January 2023. These questionnaires targeted medical researchers. Exposure was the medical researchers' perceptions of quantitative indicators for evaluating medical research and researchers. The outcome was psychological well-being, measured using the Japanese version of the World Health Organization-Five Well-Being Index (WHO-5). Multivariable-adjusted logistic regressions were conducted to investigate the association between individual attitudes toward research evaluation and psychological well-being. Stratified analyses by research fields, i.e., clinical, basic, and social medicine, were also performed. RESULTS: A total of 3,139 valid responses were collected. After excluding 176 responses from research fields of other than clinical, basic, or social medicine, 2,963 researchers (2,185 male, 737 female, and 41 other) were analyzed. Prevalence of poor well-being (WHO-5 score <13) was 28.3% in the researchers. The highest number of medical researchers was in clinical medicine (n = 500) followed by basic medicine (n = 217) and social medicine (n = 121). Medical researchers who considered research funding slightly important/not important for researcher evaluation had poorer psychological well-being than those who considered it especially important (slightly important: adjusted odds ratio (aOR) 1.33, 95% confidence interval (CI) 1.03-1.71; not important: aOR 1.53, 95%CI 1.10-2.12). This tendency was stronger among basic medical researchers than clinical or social medical researchers. The research field significantly modified the relationship between research funding received and interaction with poor psychological well-being both additively (P = 0.030) and multiplicatively (P = 0.024). CONCLUSIONS The discrepancy between medical researchers' attitudes toward research evaluation and the current state of research evaluation in their research community may worsen their psychological well-being. The influence of this discrepancy differs among clinical, basic, and social medicine. Appropriate evaluation of medical research and researchers in each field can facilitate improving their psychological well-being via the resolution of this discrepancy.
Humans ; Japan ; Female ; Male ; Cross-Sectional Studies ; Adult ; Research Personnel/statistics & numerical data* ; Middle Aged ; Biomedical Research ; Surveys and Questionnaires ; Mental Health ; Psychological Well-Being ; East Asian People

OBJECTIVES: The 24-hour movement behaviors, comprising physical activity, sedentary behavior, and sleep, are crucial factors affecting children's mental health. This study aims to explore the longitudinal association between 24-hour movement behaviors and psychological well-being in overweight and obese children, providing empirical evidence for mental health promotion in this population. METHODS: A total of 445 overweight and obese children were recruited via stratified cluster random sampling from a provincial capital city in China and followed up for one year. Measures included objectively assessed physical activity and sleep duration using triaxial accelerometers (ActiGraph GT3X+), parent-reported sedentary screen-based time (SST), and self-reported psychological well-being. RESULTS: After one year, the proportion of children meeting all 3 movement guidelines increased from 10.11% to 11.68%, while those meeting none increased from 11.24% to 15.06%. After adjusting for relevant covariates, children who met individual guidelines for moderate-to-vigorous physical activity (MVPA) (β=0.377, 95% CI 0.209 to 0.545), sleep (β=0.187, 95% CI 0.042 to 0.332), or guideline combinations of MVPA+SST (β=0.545, 95% CI 0.377 to 0.713) and MVPA+sleep (β=0.602, 95% CI 0.449 to 0.755) showed significant improvements in psychological well-being after one year. Additionally, an increase in the number of guidelines met was significantly associated with improved well-being (β=0.113, 95% CI 0.011 to 0.214). CONCLUSIONS Adherence to any single movement guideline, especially MVPA or sleep, and combinations such as MVPA+SST or MVPA+sleep is significantly associated with enhanced psychological well-being in overweight and obese children. Integrated behaviors may be an effective strategy to improve mental well-being in this population.
Humans ; Child ; Exercise/psychology* ; Sleep ; Sedentary Behavior ; Female ; Male ; Pediatric Obesity/psychology* ; Overweight/psychology* ; Mental Health ; China ; Accelerometry ; Psychological Well-Being

OBJECTIVES

This study described the demographic and clinical profile, mental health problems, prevalence of psychiatric conditions, psychosocial interventions used, and outcomes of the management of mental health problems among in-patients admitted to non-psychiatry units of tertiary hospitals referred to mental health care providers; and described gender-disaggregated data related to mental health care providers and patients receiving psychosocial interventions in tertiary hospitals.

This study employed a mixed-method design, using both qualitative and quantitative methodologies following the convergence model of triangulation. The following were the data sources: (1) cross-sectional review of charts of patients referred for psychosocial problems using the ICD-10 classification; (2) a survey of mental health service providers; (3) key informant interviews of mental health service providers; and (4) focus group discussions of mental health providers. All data were collated, compared, and contrasted, then analyzed using the convergence model of triangulation design.

Among the 3,502 patients in the chart review, 1,870 (53.40%) were males. The median age was 46.08 years and 92.06% were adults. The most common diagnosis among the patients were mood disorder (744, 21.25%) and organic mental disorder (710, 20.27%). Combination treatment of psychosocial intervention and pharmacology was the most common strategy received by patients. There was a higher proportion of patients admitted to public hospitals (996, 45.27%) who received psychosocial interventions only compared to those admitted to private hospitals (235, 18.05%). There were 3,453 out of 3,502 in-patients referred for psychiatric intervention. Of these 2,420 (70%) received psychoeducation, 2,365 (68.5%), received supportive psychotherapy/counseling, 535 (15.5%) family therapy, and 286 (8.3%) behavior modification. There were more patients given psychosocial interventions 2,541 (72.56%) who were discharged with instruction to follow-up, while around one in 10 (456, 13.02%) was not instructed to do a follow-up consultation. The types of interventions across all data sources were similar.

The most common type of management for psychosocial problems of in-patients in tertiary hospitals was a combination of psychosocial intervention and pharmacotherapy. Psychoeducation, supportive psychotherapy/ counseling, and family therapy were the most often given psychosocial interventions. The patient-related reasons for the choice of interventions were patient’s medical status (diagnosis and severity of symptoms) and psychological status (psychological mindedness), while the provider-related factors influencing the choice of intervention were provider’s skills and personal preference. Moreover, resources (human and material) and service provision policies (treatment guidelines and aftercare interventions) were the most common hospital-related factors. Further prospective research to determine the associated patients, providers, and hospital factors in larger geographic and cultural settings will provide evidence for the effectiveness and outcomes of psychosocial interventions.

BACKGROUND AND OBJECTIVE

First responders must be physically and mentally healthy to ensure effective emergency response. However, literature showed that Filipino first responders continue to have elevated levels of stress and increased risk for post-traumatic stress and other mental health problems months after their deployment. The “Mi Salud” app was created to help Filipino first responders, their team leaders, and their agencies monitor and manage the responders’ real-time stress levels before, during, and after their deployment more effectively.

The “Mi Salud” app was pretested with Filipino first responders (n=30) to establish convergent validity using existing validated scales measuring the same construct. Participants also completed a Likert scale and questionnaire to assess user experience and app recommendations. During the rollout, first responders (n=32) tested the app and completed a survey on user experience and app recommendations. A focus group discussion (n=11; FGD) was conducted to further explore their experiences with the app. Survey data were analyzed using descriptive statistical methods, while FGD data were examined through thematic analysis.

Results from the online survey showed that the app was generally found to be helpful and that the recommendations within the app were useful. The emerging themes from the FGD corroborated many of the themes from the survey, particularly the benefits of using the app and the app’s ease of use. Positive effects were observed both on the responders and on the responders’ team leader and teammates, which further established the value of the “Mi Salud” app.

The findings show that the “Mi Salud” stress check-app may serve as a useful tool for monitoring and managing the stress levels, a critical aspect for Filipino first responders to maintain optimal functioning during deployments and daily activities.