MATERIALS AND METHODS: A quasi-experimental study was conducted at the University Malaya Medical Centre (UMMC) and Universiti Kebangsaan Malaysia Medical Centre (UKMMC) over six months. Prostate cancer patients from UMMC received the intervention and patients from UKMMC were taken as controls. The level of depression, anxiety and stress were measured using Depression, Anxiety Stress Scales - 21 (DASS-21).
RESULTS: A total of 77 patients from the UMMC and 78 patients from the UKMMC participated. At the end of the study, 90.9% and 87.2% of patients from the UMMC and UKMMC groups completed the study respectively. There were significant improvements in anxiety (p<0.001, partial ?2=0.198) and stress (p<0.001, partial ?2=0.103) at the end of the study in those receiving muscle training. However, there was no improvement in depression (p=0.956).
CONCLUSIONS: The improvement in anxiety and stress showed the potential of APMRT in the management of prostate cancer patients. Future studies should be carried out over a longer duration to provide stronger evidence for the introduction of relaxation therapy among prostate cancer patients as a coping strategy to improve their anxiety and stress.
METHODS: A total of 236 breast cancer patients from China completed the Chinese Version of the Posttraumatic Stress Disorder Symptom Scale (PSS), the Chinese version of the Patient Health Questionnaire (PHQ-9), the Chinese version of the General Anxiety Symptoms Scale (GAD-7). In addition, caregivers of these breast cancer patients were surveyed by the Caregiver Self-Assessment Questionnaire (CSAQ).
RESULTS: Structural equation model showed that our model fitted well [χ2 /df = 1.966, TLI = 0.959, CFI = 0.994, RMSEA (90% CI) = 0.065 (0-0.12)] and revealed that anxiety, but not depression, mediated the relationship between PTSS in breast cancer patients and caregiver burden.
CONCLUSION: The level of PTSS was positively correlated with anxiety and depression in breast cancer patients, and the level of anxiety and depression was positively related to caregiver burden. The PTSS of patients positively predicted caregiver burden and this relationship appears to be mediated by the patient's anxiety.
METHOD: This is a cross-sectional, survey-based study in which participants responded to questionnairesregarding perceived burden (ZBI), quality of life (IEQoL), psychological distress (DASS-21), family functioning (FAD) and perceived social support (MSPSS). Additional measures include socio-demographics and clinical characteristics of the care-recipient.
RESULTS: A total of 111 caregivers participated, of whom 72.1% were females, 55% parents, 59.5% Chinese, 51.4% unemployed and 46.0% with tertiary education.Approximately half (42.3%) reported mild-to-moderate levels of burden (mean ZBI score 29.93, SD 16.09).Furthermore, multiple regression analysisidentified10 predictors of caregiver burden, namely family functioning, weekly caregiving hours, number of caregivers per family, attitude towards epilepsy, family support, caregivers' gender, personal income and as well as care-recipients' age of onset, seizure frequency and ADL dependency (F(10, 85) = 11.37, p
METHOD: Participants were contacted and offered early physical consultation with a neurologist. Patients who participated in the Phase 1 study on the impacts of the COVID-19 pandemic on people with epilepsy and treated in our hospital were recruited. Clinical and psychological outcomes of COVID-19 were assessed with the Hospital Anxiety Depression Scale (HADS) and Quality of Life in Epilepsy Inventory (QOLIE-31).
RESULT: A total of 312 patients completed this study with a mean age of 39.13 ± 16.13 years, majority female (51.0%), and experienced seizures at least once yearly (64.7%). There was 12.6% who experienced seizure worsening related to the COVID-19 pandemic. After receiving early clinical intervention, 30.8% achieved better seizure control with another 51.1% had no seizure occurrence. The mean HADS anxiety score improved immediately post-intervention (5.27 ± 4.32 vs. 4.79 ± 4.26, p
METHOD: This is a cross-sectional study in the neurology clinic in a tertiary teaching hospital in Kuala Lumpur. The screening tools used were the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) and the General Anxiety Disorder Form (GAD-7).
RESULTS: Five hundred and eighty-five patients were recruited in this study, and 50.8% of them were male, predominantly Chinese (46.7%), with a mean age of seizure onset of 21.8 ± 16.1 years. The majority had focal seizures (75.0%), and 41.9% had seizure remission. There were 15.5% who scored ≥15 in the NDDI-E, and 17.0% had moderate or severe anxiety (scored ≥10 in the GAD-7). In a regression model to predict the NDDI-E score, the age of seizure onset recorded a higher beta value (β = -0.265, p =
MATERIAL AND METHODS: During the COVID-19 pandemic, an online questionnaire gathered data from 55,589 participants from 40 countries (64.85% females aged 35.80 ± 13.61; 34.05% males aged 34.90±13.29 and 1.10% other aged 31.64±13.15). Distress and probable depression were identified with the use of a previously developed cut-off and algorithm respectively.
STATISTICAL ANALYSIS: Descriptive statistics were calculated. Chi-square tests, multiple forward stepwise linear regression analyses and Factorial Analysis of Variance (ANOVA) tested relations among variables.
RESULTS: Probable depression was detected in 17.80% and distress in 16.71%. A significant percentage reported a deterioration in mental state, family dynamics and everyday lifestyle. Persons with a history of mental disorders had higher rates of current depression (31.82% vs. 13.07%). At least half of participants were accepting (at least to a moderate degree) a non-bizarre conspiracy. The highest Relative Risk (RR) to develop depression was associated with history of Bipolar disorder and self-harm/attempts (RR = 5.88). Suicidality was not increased in persons without a history of any mental disorder. Based on these results a model was developed.
CONCLUSIONS: The final model revealed multiple vulnerabilities and an interplay leading from simple anxiety to probable depression and suicidality through distress. This could be of practical utility since many of these factors are modifiable. Future research and interventions should specifically focus on them.
METHODS: In this cross-sectional study, 101 TBI patients were interviewed using the Structured Clinical Interview for DSM-IV Axis I Disorders to assess the rates of depressive and anxiety disorders after TBI. The association of socio-demographic and clinical factors with depressive and anxiety disorders were determined using Pearson's Chi-Square test.
RESULTS: A total of 25% of TBI patients (n = 25/101) were diagnosed with depressive disorders, of which 15% had major depressive disorder (n = 15/101) and 10% had minor depression (n = 10/101). Fourteen percent of TBI patients had anxiety disorders (n = 14/101), of which post-traumatic stress disorder (PTSD) was the commonest anxiety disorder (9%, n = 9/101). Seven percent of TBI patients (n = 7/101) had comorbid depressive and anxiety disorders. The only factor associated with depressive disorder was the duration of TBI (≥ 1 year) while the only factor associated with anxiety disorder was the mechanism of trauma (assault).
CONCLUSION: Major depressive disorder, minor depression and PTSD are common psychiatric complications of TBI. Clinicians should screen for depressive and anxiety disorders in TBI patients, particularly those with ≥1 year of injury and had sustained TBI from assault.
METHODS: A cross-sectional study design was conducted on 162 breast cancer survivors from various breast cancer support groups in Malaysia. Psychological distress status was assessed based on depression and anxiety scores by applying the Malay version of Patient Health Questionnaire (PHQ-9) and General Anxiety Disorder (GAD-7). Both instruments were self-administered along with a set of questionnaires comprising demographic, medical history, quality of life, and upper extremity function assessment. Outcomes from the PHQ-9 and GAD-7 were analyzed for severity level of psychological distress, and its association with relevant variables, arm morbidity symptoms, as well as the duration of cancer survivorship.
RESULTS: The univariate analysis showed that breast cancer survivors with arm morbidities after breast surgery had a higher score of depression (5.0 vs 4.0, p = 0.011) and anxiety (3.0 vs 1.0, p = 0.026) than those who did not. Besides that, receiving fewer post-rehabilitation treatments (p = 0.049) and having a family history of cancer (p = 0.022) were correlated with higher anxiety level. The level of depression and anxiety was inversely proportionate with quality of life and positively correlated with greater disability of the arm function (p