METHODS: A cross-sectional study was conducted at selected government and private universities throughout Malaysia. A total of 1851 students participated in this study. The students were asked to complete self-administered questionnaires, including socio-demographic, academic, and psychosocial characteristics. The Generalized Anxiety Disorder-7 (GAD-7) questionnaire was used to measure the prevalence risk of anxiety among the students. Chi-square analysis was conducted to find the relationship between the variables and anxiety, and multivariate logistic regression analysis was used to identify the predictors.
RESULTS: The response rate was 97.90%, where 1821 out of 1860 students participated in the study. The prevalence risk of anxiety in this study was recorded at 29%. The data revealed that academic year, financial support for the study, alcohol consumption, poor sleep quality, body mass index (BMI), having a good friend in the university, having doubt regarding the future, actively involved in the society, and having problems with other students and lecturer(s) were significantly associated with risk of anxiety; with the academic year as the primary predictor.
CONCLUSIONS: The findings highlight the current prevalence risk of anxiety among university students in Malaysia. The outcome of this study can serve as the evident baseline data and help with the development of specific interventions in addressing and managing the issue appropriately.
METHODS: A comparative cross-sectional study using Hospital Anxiety and Depression Scale (HADS), M.I.N.I (MINI International Neuropsychiatric Interview) and ENRICH- EMS (Evaluation and Nurturing Relationship Issues, Communication and Happiness - Marital Satisfaction Scale) were performed in a group of 112 pregnant women.
RESULTS: There were no differences in the prevalence rate of any anxiety disorder among the patient with HG vs comparative group (9% vs 3%, P > 0.05) and depressive disorder in women with HG vs comparative group (16% vs 8%, P > 0.05) respectively. There were associations between HG and gravida, past history of miscarriage, and gestational diabetes (P
METHODS: This cross-sectional study recruited 300 diabetic patients via convenience sampling from the Endocrine outpatient clinic of Universiti Kebangsaan Malaysia Medical Centre, a tertiary referral healthcare facility in Kuala Lumpur. Socio-demographic characteristics and clinical history were obtained from each participant. The Generalised Anxiety Disorder-7 (GAD-7) was administered to assess anxiety symptoms, the Beck Depression Inventory (BDI) to assess depressive symptoms, the Big Five Inventory (BFI) to evaluate personality traits, and the World Health Organization Quality of Life-BREF (WHOQOL-BREF) to measure quality of life (QOL). Stepwise multiple logistic regression analyses were performed to determine the association between various factors, and depression and anxiety.
RESULTS: The prevalence of depression was 20% (n = 60) while anxiety was 9% (n = 27). Co-morbid depression (adjusted odds ratio [OR] = 9.89, 95% confidence interval [CI] = 2.63-37.14, p = 0.001) and neuroticism (adjusted OR = 11.66, 95% CI = 2.69-50.47, p = 0.001) increased the odds of developing anxiety, while conscientiousness (adjusted OR = 0.45, 95% CI = 0.23-0.80, p = 0.004) and greater psychological-related QOL (adjusted OR = 0.47, 95% CI = 0.29-0.75, p = 0.002) were protective. Co-morbid anxiety (adjusted OR = 19.83, 95% CI = 5.63-69.92, p
OBJECTIVE: This study aims to assess the mean prevalence and associated sociodemographic and clinical factors of anxiety symptoms in women newly diagnosed with breast cancer. It also aims to determine independent predictors of anxiety risk.
METHODS: An analysis of 162 newly diagnosed breast cancer patients at the oncology institute in Almaty was performed. Data were collected using a structured questionnaire on social, demographic, and clinical information, as well as the Beck Anxiety Inventory. In addition, multiple regression analysis was used to model the relationship between anxiety risk and independent predictors.
RESULTS: The average age of the patients was 54.41 years (SD=8.1; min.-max: 32-75). The majority of the patients were married (52%), employed or self-employed (51%), had children (91%), had a bachelor's or a graduate degree (50%), lived in an urban area (54%), did not drink (41%), did not smoke (67%), did not engage in physical activity (54%), and had social support (91%). A total of 48% of patients had symptoms of moderate anxiety, and 33% had symptoms of severe anxiety. Based on the multivariate analysis, factors associated with a lower risk of anxiety symptoms included higher household income (OR -2.21 (95 CI: -1.35, -3.07)) and having reliable social support (OR -2.93 (95% CI: -2.25, -3.61)).
CONCLUSION: The prevalence of anxiety symptoms is very high among newly diagnosed breast cancer patients. Anxiety is more likely to develop in patients from low-income households and those without reliable social support.
METHODS: A total of 7102 pregnant women from 12 high-income economies and nine middle-income economies were included. The web-based survey used two standardized instruments, General Anxiety Disorder-7 (GAD-7) and Patient Health Questionnaire-9 (PHQ-9).
RESULT: Pregnant women in high-income economies reported higher PHQ-9 (0.18 standard deviation [SD], P
METHODS: It was a cross-sectional study. The Malay elderly aged 60 years and above were selected through convenient sampling to give a total of 230 respondents. The Depression, Anxiety, and Stress Scale (DASS-21) was used to assess the symptoms of depression, anxiety, and stress. Bivariate analyses were performed using chi-square tests and multiple logistic regression analyses were conducted to determine the association between the factors and each of the mental health statuses assessed.
RESULTS: The results showed that the prevalence of depression, anxiety, and stress among the elderly respondents was 27.8%, 22.6%, and 8.7%, respectively. The significant factors for depression were single elderly (Adjusted OR = 3.27, 95%CI 1.66, 6.44), living with family (Adjusted OR = 4.98, 95%CI 2.05, 12.10), and poor general health status (Adjusted OR = 2.28, 95%CI 1.20, 4.36). Living with family was the only significant factor for anxiety (Adjusted OR = 2.68, 95%CI 1.09, 6.57). There was no significant factor for stress.
CONCLUSIONS: Depression and anxiety among the Malay elderly in the rural community were very worrying. More equity in health should be created or strengthened in order to intensify the opportunity to identify, diagnose, and treat those with mental health problems. Living arrangement in the rural community was an important factor that had influenced depression and anxiety. Therefore, further research is recommended for more comprehensive information, as a result of which appropriate intervention can be made.