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

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

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

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.

METHODS

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.

RESULTS

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.

CONCLUSION

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.

Human ; Counseling ; Psychotherapy ; Family Therapy ; Mental Health

OBJECTIVE

This study aimed to determine the psychological impact of the COVID-19 pandemic on university students, categorically focusing on effective coping strategies adopted.

METHODS

The researcher used a descriptive cross-sectional design and a pseudo-random number sampling method with an inversion technique to randomly select 548 health science students who participated fully out of the sum of 4,140 students from each department. The initial goal was to include 572 students in the sample. This ensured a fair representation of students from the University of Nigeria, Nsukka (UNN). The researcher evaluated these students using the COVID-19 Student Stress Questionnaire and Brief-Cope Scales.

RESULTS

Findings showed that 58.8% of the respondents were females, 34.7% were enrolled in the nursing program, and 59.7% chose to live with their parents. Most of the students experienced moderate stress, with 45.25% and 5.47% experiencing extremely stressful or distressing situations, in terms of relationships and academic life, respectively. There were no significant differences in fear of contagion, regardless of the students' gender. and social isolation between students who lived with and without their parents. In terms of relationships and academic life among the students, there was no significant difference in relation to the demographic characteristics. Results also showed that 26.6% of the students used problem-focused coping “a little bit," and there was no significant difference as to their developmental characteristics for those using problem-focused coping, emotion-focused coping, or avoidant coping. However, the results indicated a greater tendency towards avoidant coping strategies, with no significant differences observed. Students disproportionately adopted problem-focused, emotion-focused, and avoidant coping strategies. Students reported a weakly significant positive correlation between emotionfocused coping and problem-focused coping, and a large negative association between fear of contagion and problem-focused coping strategies. They also reported a slightly positive correlation between relationships, academic life, and social isolation.

CONCLUSION

The study revealed that most students experience moderate stress, which gradually escalates into extremely stressful situations, particularly in relationships and academics. The researcher found no significant differences in fear of contagion or social isolation. However, avoidant coping was more prevalent compared to problem-focused and emotion-focused strategies. There were weak positive correlations between emotion-focused and problem-focused coping. Policy reform in the health and academic systems will strategically improve students' mental health.

Human ; Covid-19 ; Covid-19 Pandemic ; Mental Health

BACKGROUND

The clinical learning environment (CLE) significantly influenced the nursing students' learning experience. While clinical learning is the heart of nursing education, certain non-academic factors might be influenced by CLE. Consequently, CLE may be affected during a health crisis like the COVID-19 pandemic.

OBJECTIVE

To determine the relationship between nursing students’ CLE and their academic grit, self-esteem, and caring behaviors in the Central Philippines.

METHODS

A descriptive cross-sectional study was conducted involving 462 nursing students enrolled during the COVID-19 pandemic. A purposive sampling technique was used to select the participants. Four self-report questionnaires were adopted to gather the data: a 42-item Clinical Learning Environment Inventory (CLEI) scale, short-form Grit (Grit-S) scale, Rosenberg’s Self-Esteem (RSE) scale, and Caring Behavior Inventory (CBI-24) scale. Spearman rho and rank-biserial correlation tools were used to analyze the data.

RESULTS

The results indicated that the clinical learning environment was positively associated with academic grit, selfesteem, and caring behavior. Some profiles of the participants, such as age, sex, year level, type of school, leadership experiences, clinical setting experience, and willingness to be a nurse, were significantly associated with the clinical learning environment, academic grit, self-esteem, and/or caring behavior.

CONCLUSIONS

Students’ CLE influences their academic grit, self-esteem, and caring behavior. That is, students who reported a more positive perception of CLE, the higher their academic grit, self-esteem, and caring behaviors. Furthermore, some students’ profile characteristics influence CLE, academic grit, self-esteem, and caring behavior. Enhancing CLE while promoting grit, self-esteem, and caring behaviors of nursing students affiliated with hospitals or any clinical learning settings and promoting alternative means of meeting CLE competencies when face-to-face interactions are restricted during a health crisis are recommended.

Human ; Clinical Practicum ; Preceptorship ; Mental Health ; Education, Nursing

BACKGROUND AND OBJECTIVES

Climate anxiety is an emerging concept defined as increased anxiety about climate change and has been linked to negative mental health outcomes. As a relatively new concept, only a few have characterized it and its relationship with mental health, especially in the Global South populations. This study aimed to investigate the relationship between climate anxiety and depressive symptoms among undergraduate students from a college in a higher education institution in Manila, Philippines. Specifically, it aimed to (1) determine the proportion of undergraduate students who reported high levels of climate anxiety and depressive symptoms; and (2) determine the association between climate anxiety and depressive symptoms.

METHODS

Using a cross-sectional design and a convenience sampling method, the investigators collected data through an online survey to assess levels of climate anxiety and depressive symptoms using the Climate Change Anxiety Scale (CCAS) and the Patient Health Questionnaire 9 (PHQ-9), respectively. Data was analyzed using multiple logistic regression.

RESULTS

Among the 148 respondents (N=325), 14.86% had high climate anxiety (i.e., CCAS score >= 3) and 62.84% had high depressive symptoms (i.e., PHQ-9 score >= 10). Regression analysis showed that the odds of those having high climate anxiety reporting high depressive symptoms are higher than those with low climate anxiety, though this is not significant (OR = 2.53, p=0.144).

CONCLUSION

The study verifies the existence of climate anxiety among undergraduate students and reflects an alarming mental health situation in the selected college. It is recommended that wide-scope investigations on the current state of climate anxiety and mental health among the youth be done to verify their impacts, along with inter-sectoral efforts such as increasing awareness through health education interventions to improve the youths’ mental health literacy and resilience to the effects of climate change, and promoting climate change-responsive mental health services to address these as pressing threats to youth health.

Human ; Climate Anxiety ; Depressive Symptoms ; Depression ; Mental Health