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
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 stress (r = 0.576, p
METHODS: This was a quasi-experimental study with university students as participants. Intervention group participants were instructed to complete online questionnaires which covered basic demographics and instruments assessing depression, anxiety, stress, mindfulness, psychological flexibility, and fear of COVID-19 before and after the one-hour intervention. The control group also completed before and after questionnaires and were subsequently crossed over to the intervention group. Repeated measures ANOVA was conducted to assess time*group effects.
RESULTS: 118 participants were involved in this study. There were significant differences in anxiety (F(1,116) = 34.361, p < 0.001, partial eta-squared = 0.229) and psychological flexibility between the two groups (F(1,116) = 11.010, p = 0.001, partial eta-squared = 0.087), while there were no differences in depression, stress, mindfulness, or fear of COVID-19.
CONCLUSION: The results of this study corroborate the efficacy of online single-session mindfulness therapy as a viable short-term psychological intervention under financial and time constraints. Since university students are in the age group with the highest incidence of depressive and anxiety disorders, it is crucial to utilize resources to address as many students as possible to ensure maximum benefit.
METHODS: This cross-sectional study was conducted in October 2020 among 1032 older Bangladeshi adults aged ≥60 years. A semi-structured questionnaire was used to collect information on participants' characteristics and COVID-19 related information. Perceived fear of COVID-19 was measured using the seven-item Fear of COVID-19 Scale (FCV-19S), where the cumulative score ranged from 7 to 35. Multiple linear regression was performed to identify factors associated with perceived fear of COVID-19.
RESULTS: The mean fear score was 19.4. Participants who were concerned about COVID-19 (β: 2.75, 95% CI: 1.71 to 3.78) and overwhelmed by COVID-19 (β: 3.31, 95% CI: 2.33 to 4.29) were significantly more likely to be fearful of COVID-19. Moreover, older adults who felt themselves isolated from others and whose close friends and family members were diagnosed with COVID-19 were more fearful. However, the participants who received COVID-19 related information from the health workers had a lower level of fear (β: -1.90, 95% CI: - 3.06 to - 0.73).
CONCLUSIONS: The presence of overwhelming fear of COVID-19 among the older adults of Bangladesh underlines the psychological needs of these vulnerable groups. Health workers have a key role in addressing these needs and further research is needed to identify the effective strategies for them to use.
METHODS: Data from four Western Pacific nations (N = 3,277) are used to test additive and multiplicative models of the relationships between financial strain, social relations, and psychological distress.
RESULTS: Financial strain is associated with higher levels of psychological distress in three of the four nations. Interactive models of the effects of financial strain and social relations on distress were uncovered in three of the four nations, but the type of social relation influencing the strain-distress relationship varied. Subjective-health and IADLs were significant predictors of psychological distress in all four nations.
DISCUSSION: Findings suggest that although financial strain is quite likely to lead to psychological distress among elders, this can be mitigated, at least in part, by social relationships. Modernization was not associated with higher psychological distress.
METHODS: A first round of data collection was conducted in 2014 including interviews with a probability sample of 1102 households and individual interviews with 2058 males and females aged 18-59. In 2016, a second round of data collection was conducted. A fixed effects model was used in the analysis.
RESULTS: The perceived effect of the unrest on the household was associated with an increased reporting of psychiatric symptoms. Furthermore, the migration of a household member for work and the presence of children left behind were related to an increased reporting of psychiatric symptoms among adults, especially among females.
CONCLUSIONS: The unrest and its associated migration was related to an increased reporting of psychiatric symptoms among working age adults in the study population.
METHODS: A total of 28 PWE were randomly assigned to either intervention (n = 14 cases) or control group (n = 14 controls). The intervention group received a six 2.5-hour weekly MBI, while the control group did not receive any intervention. They were assessed at three timepoints (T0: before intervention, T1: immediately after intervention, and T2: 6 weeks after intervention). Repeated measures of analyses of variance (RM-ANOVAs) were used for inter-group comparisons to determine intervention effect from baseline -to T1 and -to T2 for all outcome measures. The individual changes were calculated using the reliable change index (RCI). Key outcomes included depression (BDI-II), anxiety (BAI), epilepsy-related quality of life (QOLIE-31), satisfaction with life (SWLS), and level of mindfulness (MAAS).
RESULTS: Participants who participated in the MBI showed significant reduction in BDI-II (p = 0.001), significant increases in MAAS (p = 0.027) and QOLIE-31 (p = 0.001) at T1 when compared with the control group. However, BAI and SWLS were not significant. The trend was similar at 6-week follow-up, all outcome measures of MBI remained significant (p
METHODS: A cross-sectional study (n = 230) was conducted using the Pressure Management Inventory on several female dominated health professions within a large public hospital. Analysis of variance was used to show relationship between sources and outcome of pressure. Linear regressions were used to predict which sources of pressure (IV) was linked to the outcomes of occupational pressure (DV).
RESULTS: The number one source of occupational pressure is relationships at work (i.e. with supervisors), and not workload. 'Relationship' is also the key predictor of several negative outcomes of pressure at work. Analysis of variance showed significant differences in two sources of pressures, i.e. Workload (P = 0.04) and Home-work balance (P = 0.03).
CONCLUSION: This paper provides insights into the occupational pressure of women health professionals by highlighting the organisational sources of pressure and the implications for preventing occupational dysfunction secondary to stress at work.