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.

OBJECTIVE

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.

METHODS

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.

RESULTS

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.

CONCLUSION

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.

Human ; Mental Health

BACKGROUND

The COVID-19 pandemic disrupted education worldwide, prompting a rapid shift to emergency remote teaching that challenged students’ learning and mental health. Nursing students, in particular, faced heightened pressures due to the suspension or online adaptation of essential clinical experiences, alongside the need to master theoretical and practical competencies. Emerging evidence indicates that such stressors adversely affect students’ emotional and psychological well-being, potentially influencing academic outcomes. Understanding the relationship between mental health and academic performance among nursing students is crucial for developing targeted interventions that support their well-being and professional readiness.

OBJECTIVE

This study analyzed the mental health status and academic performance of graduating nursing students during the challenging period of remote learning amid the pandemic in a government school in Leyte.

METHODS

The study utilized a descriptive correlational design to explore the relationships between mental health status and academic performance among nursing students. A modified self-administered questionnaire was utilized to gather data. Ethical approval from Eastern Visayas Health Research and Development ConsortiumEthics Review with ERC number 2023-024 was secured, and data collection occurred through various methods. Data analysis used SPSS version 24, emphasizing the importance of understanding these relationships in educational settings.

RESULTS

The study assessed the demographic profile, online learning attributes, mental health status, and academic performance of 20 nursing students during the pandemic. All students passed their courses, despite reporting moderate emotional loneliness and irritability, but minimal fear of COVID-19. Significant correlations were found between demographic factors and mental health indicators. The null hypothesis, suggesting no relationship between demographic factors and mental health, is void, as significant associations were identified. Recommendations include enhancing mental health support in nursing education to address these challenges.

CONCLUSION

This study highlights the experiences of 20 nursing students from a government college in Leyte during the COVID-19 pandemic. Predominantly young women from rural, low-income backgrounds, these students faced challenges like poor internet access but successfully completed their academic requirements, showcasing resilience. While they reported low fear of COVID-19, moderate emotional loneliness and irritability indicated underlying mental health issues. The findings stress the need for educational institutions to provide mental health support and address the digital divide to enhance student well-being and success.

Human ; Male ; Female ; Young Adult: 19-24 Yrs Old ; Adult: 25-44 Yrs Old ; Statistics As Topic ; Psychological Well-being ; Indicators And Reagents ; Students, Nursing ; Suspensions ; Academic Performance ; Learning ; Pandemics ; Nursing ; Education, Nursing ; Covid-19 ; Mental Health

Occupational allergies and respiratory health issues are an increasing concern across various industries, significantly impacting worker productivity, well-being and long-term health outcomes. These health problems are primarily triggered by exposure to airborne allergens such as pollen, mold and chemical irritants commonly found in workplace environments. Climate change exacerbates these issues by altering environmental conditions that influence allergen distribution and intensity. Rising temperatures, increased humidity, worsening air pollution and extreme weather events contribute to prolonged pollen seasons, greater mold proliferation, increased volatile organic compound (VOC) emissions and heightened respiratory health risks among workers. VOCs are chemical pollutants emitted from a range of indoor and outdoor sources, further aggravating air quality in workplace environments.

An emerging concern is the relationship between climate change and thunderstorm asthma, a phenomenon where allergens are dispersed during thunderstorms, leading to acute asthma events. Ongoing research continues to examine how environmental changes contribute to the frequency and intensity of asthma-related health issues, particularly in occupational settings.

Both outdoor and indoor workers face distinct challenges due to climate-driven changes in allergen exposure. Agricultural, forestry and construction workers are especially vulnerable to longer pollen seasons and higher concentrations of air pollutants. In contrast, office, healthcare and industrial workers face increased exposure to indoor allergens due to poor ventilation, rising VOC concentrations and other environmental stressors. Low-income workers, older adults and those in developing countries face disproportionate risks due to limited access to healthcare and protective measures.

This viewpoint article explores the relationship between climate change and occupational respiratory allergies, emphasizing the need for effective workplace adaptation strategies such as improving ventilation systems, using air filtration technology and creating allergen-free zones. It also examines the socioeconomic barriers to implementing these measures, mental health impacts of occupational allergies (including stress, anxiety and absenteeism) and the emergence of new allergens due to changing environmental conditions. Furthermore, technological solutions such as AI-driven air quality monitoring systems and wearable sensors hold promise in mitigating allergen exposure by providing real-time data, enabling proactive health measures and supporting policy development to protect worker health. Addressing these challenges is critical to ensuring workers’ health, well-being and productivity in the face of ongoing climate change.

Volatile Organic Compounds ; Ventilation ; Weights And Measures ; Environmental Pollutants ; Developing Countries ; Occupational Groups ; Mental Health ; Hypersensitivity

BACKGROUND

In the context of acute psychiatric care characterized by severe hallucinatory symptoms, providing timely and effective interventions poses challenges. Therapy administered by Mental Health Nurses (TKN) emerges as a promising solution to comprehensively address these acute symptoms. This therapeutic approach is designed to alleviate hallucination symptoms during the acute phase.

OBJECTIVES

This study aimed to investigate the effectiveness of Therapy administered by Mental Health Nurses (TKN) as an intervention tailored for individuals facing acute hallucinatory challenges. The overarching goals include exploring the therapeutic dimensions of the intervention, assessing the potential for tailored interventions based on demographic factors, and translating findings into practical implications for mental health professionals.

METHODS

This study used a quasi-experimental design with a one-group pre-post-test structure. A total of 117 participants diagnosed with schizophrenia from outpatient psychiatric wards were selected in community setting, excluding individuals with concurrent mental retardation to maintain sample homogeneity. Data collection, conducted over two months from July to August 2023, included a pre-test assessment before any intervention to establish baseline hallucinatory symptoms. Therapy by Mental Health Nurses (TKN) was administered over two weeks, consisting of four 30- to 45-minute sessions for each participant. After each session, participants underwent reassessment for hallucinatory symptoms, totaling five assessments. Psychotic Syndrome Rating Scale (PSYRAT) was used to measure hallucination scores. The data analysis employed paired t-tests for baseline and post-intervention scores within a two-week period. A Repeated Measures Analysis of Variance (ANOVA) assessed the effect of interventions on hallucination scores, with age, gender, and adherence status as factors. Post hoc analyses, including pairwise comparisons, identified specific subgroup differences and assessed the time effect within the same group.

RESULTS

The study cohort primarily consisted of adults (90.6%), maintaining a balanced gender distribution with 51.3% males and 48.7% females. A substantial portion had low educational backgrounds (59%), and the majority were unemployed (87.2%), with family members serving as the predominant primary caregivers (87.2%). Regarding medication adherence, over half adhered to the prescribed regimen (52.1%). Results demonstrated an improvement in hallucination symptoms for adolescents and the elderly compared to adults. While gender and adherence status did not individually influence symptoms significantly, age category emerged as a significant contributing factor (F = 3.991, p = 0.021). Interaction effects emphasized the substantial influence of time on symptom shifts over the intervention (F = 24.164, p < 0.001). Particularly, the mean difference of 4.636 (p < 0.001) from Time 1 to Time 5 signified a substantial decrease in hallucination scores, highlighting the cumulative impact of the therapy. These findings underscore the effectiveness of Therapy administered by Mental Health Nurses (TKN) across diverse demographic factors, providing valuable insights for tailored interventions in psychiatric emergencies.

CONCLUSION

Therapy administered by Mental Health Nurses (TKN) demonstrates effectiveness in reducing schizophrenia symptoms, especially among adolescents and the elderly. The impact of time on the intervention's effectiveness is notable, with a cumulative effect observed over the intervention period. Sustained and consistent engagement with the therapy leads to more substantial improvements in hallucination symptoms. Therefore, tailored interventions considering age are crucial for optimal effectiveness. This understanding enables practitioners to optimize the therapy schedule, aligning it with the natural progression of symptom alleviation.

Human ; Hallucinations ; Therapeutics ; Therapy ; Mental Health ; Nurses

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

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: This study aims to explore the current status and risk factors of oral health-related quality of life OHRQoL in patients with mental disorders and provide evidence for effective intervention measures. METHODS: A total of 397 patients diagnosed with mental illness were selected by convenience sampling, and investigation was carried out using general data questionnaire, health literacy in dentistry-14 (HeLD-14), oral health impact profile-14 (OHIP-14), and oral health status checklist. RESULTS: The total score of OHIP-14 in patients with mental disorders was 8(2, 14). The score of HeLD-14 was negatively correlated with the score of OHIP-14 (r=-0.142, P<0.01). The results of multiple linear regression showed that six variables including annual family income, schizophrenia, sweets, frequency of visits to the dentist, dental caries, and missing teeth affected OHRQoL of patients with mental disorders (P<0.05). CONCLUSIONS The poor OHRQoL of psychiatric patients is associated with many factors. Medical personnel should pay attention to their oral health problems and develop targeted oral care programs throughout the course of disease to improve oral health and related quality of life of patients.
Humans ; Quality of Life ; Oral Health ; Mental Disorders ; Risk Factors ; Surveys and Questionnaires ; Male ; Female ; Dental Caries ; Adult ; Middle Aged ; Schizophrenia

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