Objectives: This study aims to determine the prevalence of psychiatric disorders in the sample population in a barangay in the City of Balanga, Bataan using the MINI International and Neuropsychiatric Interview and to describe the profile of those with psychiatric disorders based on sociodemographic and health characteristics. Methods: This is a cross sectional study from Barangay Tenejero, City of Balanga, Bataan done in 2019. Systematic random sampling was done where all zones were included. Sample size was 432 households (with at least one adult per household) based on a level of significance of 5%. Data were obtained using the sociodemographic profile, health profile, MINI International Neuropsychiatric Interview Screen and MINI International Neuropsychiatric Interview 6 done through face-to-face interview. Descriptive statistics were used in analysis. Results: Forty-four of the participants have a diagnosis of at least one psychiatric disorder (10.50%). Of these, the most common psychiatric disorders were major depressive disorder (3.58%) followed by any psychotic disorder (1.91%) and generalized anxiety disorder (1.91%). Among the population, 3.10% have suicidal behavior. Psychiatric disorders are more common among women and people with low incomes. Among those with psychiatric disorders, mental health service utilization is low with only 4.55-6.82%. Conclusion This study reports for the first time the prevalence of psychiatric condition in a barangay in the City of Balanga, Bataan. Though the prevalence rate (10.50%) is low compared to other community data, the findings emphasize the need for strategies to promote mental disorder diagnosis and treatment. This study will influence and guide contextualized community mental health services and policies.
Cross-Sectional Studies ; Mental Disorders ; Psychiatric Status Rating Scales

Humans ; Electronic Nicotine Delivery Systems ; Prevalence ; Mental Disorders/epidemiology* ; Smoking/epidemiology* ; Perception

OBJECTIVES

This study aims to determine the prevalence of psychiatric disorders in the sample population in a barangay in the City of Balanga, Bataan using the MINI International and Neuropsychiatric Interview and to describe the profile of those with psychiatric disorders based on sociodemographic and health characteristics.

This is a cross sectional study from Barangay Tenejero, City of Balanga, Bataan done in 2019. Systematic random sampling was done where all zones were included. Sample size was 432 households (with at least one adult per household) based on a level of significance of 5%. Data were obtained using the sociodemographic profile, health profile, MINI International Neuropsychiatric Interview Screen and MINI International Neuropsychiatric Interview 6 done through face-to-face interview. Descriptive statistics were used in analysis.

Forty-four of the participants have a diagnosis of at least one psychiatric disorder (10.50%). Of these, the most common psychiatric disorders were major depressive disorder (3.58%) followed by any psychotic disorder (1.91%) and generalized anxiety disorder (1.91%). Among the population, 3.10% have suicidal behavior. Psychiatric disorders are more common among women and people with low incomes. Among those with psychiatric disorders, mental health service utilization is low with only 4.55-6.82%.

This study reports for the first time the prevalence of psychiatric condition in a barangay in the City of Balanga, Bataan. Though the prevalence rate (10.50%) is low compared to other community data, the findings emphasize the need for strategies to promote mental disorder diagnosis and treatment. This study will influence and guide contextualized community mental health services and policies.

BACKGROUND

Skin diseases and mental disorders are often correlated. However, the prevalence of this association among outpatients is not well-documented, especially in the Philippines. This study investigated the complex relationship between skin conditions and potential mental disorders, aiming to enhance patient care through a more comprehensive, integrated treatment approach.

To determine the relationship between skin diseases and probable mental disorders among outpatients seen at the dermatology department of a tertiary government hospital in the Philippines.

This descriptive, cross-sectional study included 298 participants. Socio-demographic and clinical profiles were gathered, and a validated screening tool was used to identify probable mental disorders. Analytical statistics were employed to assess the relationship between socio-demographic and clinical profiles, skin diseases, and symptoms suggestive of a mental disorder.

The study results revealed no significant association between specific skin diseases and mental disorders. However, significant correlations were noted between certain sociodemographic and clinical factors—such as employment status, residence, educational attainment, birth order, disease severity, and disease duration—and the presence of probable mental disorders.

The results emphasized the critical role of clinical and sociodemographic factors in determining mental health outcomes in dermatology settings. Incorporating mental health screenings into standard dermatological care enables healthcare providers to greatly improve patient outcomes, providing a more comprehensive and holistic treatment approach.

The causes of mental disorders are complex, and early recognition and early intervention are recognized as effective way to avoid irreversible brain damage over time. The existing computer-aided recognition methods mostly focus on multimodal data fusion, ignoring the asynchronous acquisition problem of multimodal data. For this reason, this paper proposes a framework of mental disorder recognition based on visibility graph (VG) to solve the problem of asynchronous data acquisition. First, time series electroencephalograms (EEG) data are mapped to spatial visibility graph. Then, an improved auto regressive model is used to accurately calculate the temporal EEG data features, and reasonably select the spatial metric features by analyzing the spatiotemporal mapping relationship. Finally, on the basis of spatiotemporal information complementarity, different contribution coefficients are assigned to each spatiotemporal feature and to explore the maximum potential of feature so as to make decisions. The results of controlled experiments show that the method in this paper can effectively improve the recognition accuracy of mental disorders. Taking Alzheimer's disease and depression as examples, the highest recognition rates are 93.73% and 90.35%, respectively. In summary, the results of this paper provide an effective computer-aided tool for rapid clinical diagnosis of mental disorders.
Humans ; Mental Disorders/diagnosis* ; Alzheimer Disease/diagnosis* ; Brain Injuries ; Electroencephalography ; Recognition, Psychology

OBJECTIVES: Shelter hospital was an alternative way to provide large-scale medical isolation and treatment for people with mild coronavirus disease 2019 (COVID-19). Due to various reasons, patients admitted to the large shelter hospital was reported high level of psychological distress, so did the healthcare workers. This study aims to introduce a comprehensive and multifaceted psychosocial crisis intervention model. METHODS: The psychosocial crisis intervention model was provided to 200 patients and 240 healthcare workers in Wuhan Wuchang shelter hospital. Patient volunteers and organized peer support, client-centered culturally sensitive supportive care, timely delivery of scientific information about COVID-19 and its complications, mental health knowledge acquisition of non-psychiatric healthcare workers, group activities, counseling and education, virtualization of psychological intervention, consultation and liaison were exhibited respectively in the model. Pre-service survey was done in 38 patients and 49 healthcare workers using the Generalized Anxiety Disorder 7-item (GAD-7) scale, the Patient Health Questionnaire 2-item (PHQ-2) scale, and the Primary Care PTSD screen for the Diagnostic and Statistical Manual of Mental Disorders, 5th edition (PC-PTSD-5). Forty-eight healthcare workers gave feedback after the intervention. RESULTS: The psychosocial crisis intervention model was successfully implemented by 10 mental health professionals and was well-accepted by both patients and healthcare workers in the shelter hospital. In pre-service survey, 15.8% of 38 patients were with anxiety, 55.3% were with stress, and 15.8% were with depression; 16.3% of 49 healthcare workers were with anxiety, 26.5% were with stress, and 22.4% were with depression. In post-service survey, 62.5% of 48 healthcare workers thought it was very practical, 37.5% thought more practical; 37.5% of them thought it was very helpful to relief anxiety and insomnia, and 27.1% thought much helpful; 37.5% of them thought it was very helpful to recognize patients with anxiety and insomnia, and 29.2% thought much helpful; 35.4% of them thought it was very helpful to deal with patients' anxiety and insomnia, and 37.5% thought much helpful. CONCLUSIONS Psychological crisis intervention is feasible, acceptable, and associated with positive outcomes. Future tastings of this model in larger population and different settings are warranted.
Humans ; COVID-19 ; Sleep Initiation and Maintenance Disorders ; Crisis Intervention ; Psychosocial Intervention ; SARS-CoV-2 ; Mental Health ; Depression/epidemiology* ; Health Personnel/psychology* ; Anxiety/etiology*

Humans ; Mental Disorders ; Quality of Life

PURPOSE: This study aimed to investigate the possible association between psychological disorders and risky driving behavior (RDB) in Iran. METHODS: This case-control study conducted in Shiraz, Iran in 2021. The case group included drivers with psychological disorders and the control group included those without any disorders. The inclusion criteria for selecting patients were: active driving at the time of the study, being 18 - 65 years old, having a driving license, having a psychological disorder including depression, bipolar disorder, anxiety spectrum disorder, or psychotic disorder spectrum confirmed by a psychiatrist, and completing an informed consent form. The exclusion criterion was the existence of conditions that interfered with answering and understanding the questions. The inclusion criteria for selecting the healthy cases were: active driving at the time of the study, being 18 - 65 years old, having a driving license, lack of any past or present history of psychiatric problems, and completing an informed consent form. The data were gathered using a researcher-made checklist and Manchester driving behavior questionnaire. First, partition around medoids method was used to extract clusters of RDB. Then, backward logistic regression was applied to investigate the association between the independent variables and the clusters of RDB. RESULTS: The sample comprised of 344 (153 with psychological disorder and 191 without confirmed psychological disorder) drivers. Backward elimination logistic regression on total data revealed that share of medical expenditure ≤ 10% of total household expenditure (OR = 3.27, 95% CI: 1.48 - 7.24), psychological disorder (OR = 3.08, 95% CI: 1.67 - 5.70), and substance abuse class (OR = 6.38, 95% CI: 3.55 - 11.48) were associated with high level of RDB. CONCLUSION Substance abuse, psychological illnesses, and share of medical costs from total household expenditure were found to be main predictors of RDB. Further investigations are necessary to explain the impact of different psychological illnesses on driving behavior.
Humans ; Adolescent ; Young Adult ; Adult ; Middle Aged ; Aged ; Automobile Driving ; Iran ; Case-Control Studies ; Mental Disorders/epidemiology* ; Surveys and Questionnaires ; Risk-Taking

Objectives: To determine the burden of COVID-19 related mental health problems such as anxiety and/or depression among caregivers of children and adolescents with neurodevelopmental disorders in a government tertiary hospital. Materials and Methods: This is a cross-sectional study conducted at the Out-patient Department of PCMC. Caregiver data sheet and HADS-P forms were given to eligible caregivers. Results: A total of 102 caregivers were included. The prevalence of significant risk for anxiety disorder among caregivers of children and adolescents with neurodevelopmental disorders is 34.31% (n=35), 1.96% (n=2) for depression and 3.92% (n=4) for both anxiety and depression. Using logistic regression, marital status of common law partner and female sex have significant association with depression and anxiety; the number of household members has a direct association to significant risk for both anxiety and depression. Conclusion Female sex and common law partnership as marital status are associated with 2-3 times of having significant risk for anxiety or depression. The number of household members is correlated with an increased significant risk of having both anxiety and depression. Screening caregivers using appropriate tests would identify caregivers at significant risk for anxiety and depression and further create intervention programs.
Anxiety ; Depression ; Caregiversl ; Neurodevelopmental Disorders ; COVID-19 ; Mental Health

Introduction: Caffeine use disorder (CUD), a problematic caffeine use pattern, is yet to be recognized under DSM-5 and is under consideration for further research. This study aimed to determine if the sex, employment status, and smoking status of Quezon City residents aged 18 years old and above are associated with CUD, and to determine the mean daily caffeine consumption (MDCC) of caffeinated products and the proportion of individuals meeting the CUD criteria. Methods: A total of 334 respondents accomplished the online survey that collected socio-demographic information and evaluated CUD using an 8-point Caffeine Consumption Questionnaire (CCQ). Results: The study population was mostly composed of females, unemployed, and non-smokers. Results showed that 17% of respondents have CUD, that brewed coffee was most consumed daily, the MDCC of the study population was 158.31 mg; and females were at an increased risk for CUD, while nonsmokers and unemployed individuals were at reduced risk. Conclusion The proportion of Quezon city residents that have CUD is at 17%, consuming an average of 158.31 mg of coffee daily, with brewed coffee being consumed most. Female residents are at an increased risk of having CUD, while nonsmokers and unemployed individuals are at a decreased risk.
Caffeine ; Coffee ; Cross-Sectional Studies ; Diagnostic and Statistical Manual of Mental Disorders