OBJECTIVE

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

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.

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.

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.

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.

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

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.

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.

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.

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.

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.

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).

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.

BACKGROUND AND OBJECTIVES

Ensuring the total well-being of healthcare workers (HCWs), including their mental health and psychological well-being, is an essential aspect in the delivery of patient care and the preservation of the health workforce. This study aimed to determine the level of mental well-being and emotional state of HCWs in terms of depression, anxiety, and stress using the DASS-21 scale in a tertiary government hospital during the COVID-19 pandemic in the Philippines and to identify the job-related factors that may be associated with these outcomes.

This is an analytical, cross-sectional study among HCWs involved in direct patient care in a tertiary government hospital in the Philippines during the COVID-19 pandemic. Data collection was conducted from February to March 2022 through an online self-administered questionnaire, which included the Demand-Control-Support Questionnaire (DCSQ), and the 21-item Depression Anxiety Stress Scale (DASS-21). This was sent to doctors, nurses, and allied medical workers actively working in the clinical areas. All responses were collected and analyzed.

Three hundred sixty-four healthcare workers were included in the study. Majority were single (62.62%), living with immediate family (50.82%), and working in a COVID-designated area (62.09%). High prevalence of depression (49.18%), anxiety (61.54%), and stress (30.22%) was found among the HCWs. Work in high infection/COVID-designated areas was significantly associated with anxiety and stress, and high-job demand was significantly associated with all three mental health states compared to low job-demand.

Focus should be placed on modifying the condition of high job demand among healthcare workers working in hospitals. This includes ensuring optimum staffing levels and patient to HCW ratio which avoids HCWs from being subjected to high workloads and time pressures that subsequently increase risk for stress, anxiety, and depression.

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

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

The epidemiological research on mental health in China has undergone decades of development, transitioning from multi-regional surveys to nationally representative studies. In 1982, Academician Shen Yucun led a team to complete the first national survey in 12 regions, revealing a point prevalence rate of 10.54‰. In 1993, the point prevalence rate in the second national survey in 7 regions rose to 11.18‰. In 2002, the Composite International Diagnostic Interview (CIDI)-3.0 and Diagnostic and Statistical Manual of Mental Disorders, Fouth Edition (DSM-Ⅳ) standards were first applied in the surveys in urban Beijing and Shanghai to achieve international standards, but the representativeness of urban samples was limited. Subsequent regional studies contributed methodological insights toward a nationally representative survey. From 2013 to 2015, a research team led by Professor Huang Yueqin, in collaboration with 43 institutions, completed the China Mental Health Survey (CMHS), covering 32 552 community adults in 157 counties/districts in 31 provinces/autonomous. This study represents the first nationally representative epidemiological survey of mental disorders in China. The main results showed that the lifetime prevalence of mental disorders among adults in Chinese communities with depressive disorders was 16.6%, including 7.4% for mood disorders and 7.6% for anxiety disorders. Only 9.5% of patients with depressive disorders received treatment, and the full treatment rate was as low as 0.5%. Further surveys based on the CMHS framework in regions such as Ningxia, Urumqi, and Inner Mongolia confirmed the high risk of disease among rural women in western China and the widespread phenomenon of inadequate treatment. The results of CMHS methodology was transformed into the national Guidelines and Technical Standards for Epidemiological Investigation of Community Mental Disorders (2015 Edition) and software copyright, and the main data had been published in The Lancet Psychiatry. It has been used to guide the formulation of policies such as the Healthy China Action (2019-2030). CMHS establishing a complete process from scientific investigation to policy translation, filling the data gap at the national level, providing a replicable paradigm for the world, especially for developing countries, and marking a new stage of evidence-based decision-making in China's mental health epidemiological research.
China/epidemiology* ; Humans ; Mental Disorders/epidemiology* ; Health Surveys/history* ; Mental Health/statistics & numerical data* ; Prevalence ; Adult ; Female ; Male

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