METHODS: A cross-sectional study was conducted involving 1150, 5-6 year-old preschool children in Selangor, Malaysia. Mothers answered a questionnaire on socio-economic status, the Malay-Modified Dental Anxiety Scale to assess maternal dental anxiety, and the Malay-Early Childhood Oral Health Impact Scale to assess COHRQoL. Child's dental anxiety was assessed using the Malay-Modified Child Dental Anxiety Scale via a face-to-face interview prior to oral examination to assess dental caries. Data were analysed using structural equation modelling to assess the relationship between maternal and child dental anxiety and COHRQoL.
RESULTS: Overall, complete data on 842 mother-child dyads were analysed. The mean scores of total ECOHIS, the child impacts section (CIS), and the family impacts section (FIS) were 17.7 (SD = 4.9), 12.6 (SD = 3.7), and 5.1 (SD = 1.9), respectively. The mean dental anxiety scores for mothers and children were 11.8 (SD = 4.5) and 16.9 (SD = 4.3), respectively. Maternal dental anxiety was associated with the CIS (b = 0.08, p
MATERIALS AND METHODS: Participants were 303 consecutive adult cancer patients undergoing chemotherapy in an academic medical center. The short form Memorial Symptom Assessment Scale (MSAS-SF), which covers three domains of symptoms (global distress, physical- and psychological symptoms) was used to cross-sectionally measure symptom frequency and associated distress via self-reporting. One-way ANOVA and t-tests were used to test mean differences among MSAS-SF subscale scores.
RESULTS: Complete data were available for 303 patients. The mean number of symptoms was 14.5. The five most prevalent were fatigue, dry mouth, hair loss, drowsiness and lack of appetite. Overall, symptom burden and frequency were higher than in other published MSAS-SF studies. Higher symptom frequency was also found to be significantly related to greater distress in cancer patients undergoing chemotherapy.
CONCLUSIONS: Patients undergoing chemotherapy suffer from multiple physical and psychological symptoms. Better symptom control or palliative care is needed. Greater frequency of reported symptoms may also indicate a subconscious bid by patients for care and reassurance - thus tailored intervention to manage distress should be offered.
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.
OBJECTIVES: This study was aimed to explore the occurrence of anxiety, depression and to identify the factors associated with hospital readmission among older patients after AECOPD discharge.
METHODS: A multicentre prospective study was conducted in Malaysia (from 1st September 2012 till 31st September 2013) among older patients (≥60 years) hospitalised for AECOPD. Anxiety and depression were assessed on discharge using previously validated questionnaires, Generalized Anxiety Disorder-7 (GAD-7 and Geriatric Depression Scale (GDS-15), respectively. Patients were followed up for a period of 3 months after discharge.
RESULTS: A total of 81 patients with a median age of 72 years (IQR 66.40-78.00) were recruited. Anxiety was observed in 34.57% while 38.27% had depression. Both anxiety and depression were detected in 25.93% of the patients. A history of frequent AECOPD admissions was found to be associated with developing depressive symptoms, while anxiety scores were associated with severe dyspnoea. Severe depression was more commonly identified among patients aged 60-75 and in those with a history of tuberculosis. A high readmission rate (40.74%) during the 3-month period was noticed. History of frequent AECOPD admissions (OR = 2.87; 95% CI 1.05-7.85, P = 0.040) and ischemic heart disease (IHD) (OR = 4.04; 95% CI 1.1-14.6, P = 0.032) were identified as the factors associated with the risk of hospital readmission.
CONCLUSIONS: Anxiety and depression were found to be relatively common among older patients with AECOPD. IHD and history of frequent COPD hospitalisation were associated with short-term readmission among the elderly.
METHODS: We collected data from 1583 citizens from four countries via an online survey between October 14 and November 2, 2020. We gathered demographic data and measured mental distress (depression, anxiety, and stress) and fear of COVID-19. Data on sense of control, ego-resilience, grit, self-compassion, and resilience indicators were also collected.
RESULTS: Sense of control was negatively associated with mental distress in all four countries. Self-compassion was negatively associated with mental distress in the samples from Japan, China, and the U.S. We also found an interaction effect for sense of control: the lower the sense of control, the stronger the deterioration of mental distress when the fear of COVID-19 was high.
LIMITATIONS: This study's cross-sectional design precludes causal inferences. Further, lack of data from people who were actually infected with the virus limits comparisons of people who were and were not infected. Finally, as this study only compared data from four countries, comparisons with more countries are needed.
CONCLUSIONS: A sense of control and self-compassion may help buffer against mental health deterioration during the COVID-19 pandemic. Sense of control was consistently associated with mental health across cultures.
METHODOLOGY: An online cross-sectional study was conducted via non-probabilistic convenience sampling. Data were collected on sociodemographic characteristics, lifestyle, COVID-19 related influences. Mental health status was assessed with depression, anxiety, and stress scale (DASS-21).
RESULTS: 388 students participated this study (72.4% female; 81.7% Bachelor's student). The prevalence of moderate to severe depression, anxiety and stress among university students are 53.9%, 66.2% and 44.6%, respectively. Multivariable logistic regression analysis found that the odds of depression were lower among students who exercise at least 3 times per week (OR: 0.380, 95% CI: 0.203-0.711). The odd ratio of student who had no personal history of depression to had depression, anxiety and stress during this pandemic was also lower in comparison (OR: 0.489, 95% CI: 0.249-0.962; OR: 0.482, 95% CI: 0.241-0.963; OR: 0.252, 95% CI: 0.111-0.576). Surprisingly, students whose are currently pursuing Master study was associated with lower stress levels (OR: 0.188, 95% CI: 0.053-0.663). However, student who had poorer satisfaction of current learning experience were more likely to experience stress (OR: 1.644, 95% CI: 1.010-2.675).
LIMITATIONS: It is impossible to establish causal relationships between variables on mental health outcomes, and there is a risk of information bias.
CONCLUSION: The prevalence of mental health issues among university students is high. These findings present essential pieces of predictive information when promoting related awareness among them.
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