METHODS: We conducted a meta-analysis to evaluate the association between SCH and depression including 1) the prevalence of depression in SCH (with a sub-analysis of the geriatric cohort), 2) thyroid stimulating hormone (TSH) level among patients with depression and 3) the effect of levothyroxine therapy among patients with SCH and coexistent depression.
RESULTS: In a pooled analysis of 12,315 individuals, those with SCH had higher risk of depression than euthyroid controls (relative risk 2.35, 95% confidence intervals [CI], 1.84 to 3.02; p
OBJECTIVE: This research reduced depression level with Javanese gamelan therapy in chronic kidney failure patients' who undergo hemodialysis at RSUD KRMT Wongsonegoro Semarang.
METHOD: It was a quasi-experimental research with pretest-post-test without control group. The research was administered during March-May 2019 with 30 respondents taken as sample using the total sampling technique.
RESULTS: The research on 30 respondents showed that p-value=0.00,
OBJECTIVES: To assess the prevalence of depression, anxiety, and stress as well as identify predictors among recovered COVID-19 patients after more than six months of being discharged in Dong Thap Province, Vietnam.
MATERIAL AND METHODS: The cross-sectional study was conducted among 549 eligible participants recruited by stratified sampling. Data was collected using the depression, anxiety and stress scale - 21 items had Content Validity Index = 0.9, and Cronbach's alpha for depression, anxiety and stress sub-scales were 0.95, 0.81, and 0.86, respectively. Descriptive statistics were used to measure the prevalence levels and distribution of characteristics of the participant, while factors influencing depression, anxiety, and stress were predicted using binary logistic regression.
RESULTS: The overall prevalence of depression, anxiety, and stress were 24.8% (95% CI: 21.2-28.6), 41.5% (95% CI: 37.4-45.8), and 25.3% (95% CI: 21.7-29.2), respectively. The predictors of depression were living in urban area (OR = 1.97; 95% CI: 1.27-3.08), holding a bachelor's degree (OR:3.51; 95% CI: 1.13-10.8), having a high monthly income (OR: 2.57; 95% CI: 1.03-6.38), diabetes (OR: 2.21; 95% CI: 1.04-4.68), heart disease (OR: 3.83; 95% CI: 1.79-8.17), respiratory disease (OR: 3.49; 95% CI: 1.24-9.84), and diarrhea (OR: 4.07; 95% CI: 1.06-15.6). Living in the urban area (OR: 1.57; 95% CI: 1.07-2.29), having sleep disturbance (OR: 2.32; 95% CI: 1.56-3.46), and fatigue (OR: 1.57; 95% CI: 1.03-2.39) were predictors for anxiety. Having respiratory disease (OR: 3.75; 95% CI: 1.47-9.60) or diarrhea (OR: 4.34; 95% CI: 1.18-15.9) were predictors of stress.
CONCLUSION: People who have recovered from COVID-19 should be assessed for symptoms of depression, anxiety, and stress. Primary healthcare providers should develop interventions to support their recovery.
DESIGN: A systematic review was conducted using electronic databases of CINAHL, PubMed, PsychINFO, Psychology and Behavioural Sciences Collection, SocINDEX and Web of Science for articles published until the 11th of January 2018.
ELIGIBILITY CRITERIA: All observational studies investigating the association between social support and depression among community-dwelling older adults in Asia were included.
PARTICIPANTS: Older adults aged 60 years and more who are living in the community.
EXPOSURE MEASURES: Social support.
OUTCOME MEASURES: Depression.
RESULTS: We retrieved16 356 records and screened 66 full-text articles. Twenty-four observational studies were included in the review. They consisted of five cohort studies and 19 cross-sectional studies. Social support was found to be measured by multiple components, most commonly through a combination of structural and functional constructs. Perceived social support is more commonly measured compared with received social support. Good overall social support, having a spouse or partner, living with family, having a large social network, having more contact with family and friends, having emotional and instrumental support, good support from family and satisfaction with social support are associated with less depressive symptoms among community-dwelling older adults in Asia.
CONCLUSIONS: There were 20 different social support measures and we applied a framework to allow for better comparability. Our findings emphasised the association between good social support and decrease depression among older adults. Compared with western populations, family support has a greater influence on depression among community-dwelling older adults in Asia. This indicates that the family institution needs to be incorporated into designed programmes and interventions when addressing depression in the Asian context. TRIAL : registration number : CRD42017074897.
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: This is a retrospective comparative cohort study design. Two hundred and fifty Malaysian women were part of a previous study examining the prevalence of PND in a multiracial country and the effects of postnatal rituals. All women were at least 6 weeks post-partum when asked to complete the Edinburgh Postnatal Depression Scale (EPDS). Sociodemographic and birth data were obtained.
RESULTS: Data collected were divided into two groups: 55 emergency delivery and 191 non-emergency delivery. There were four missing data. There was no significant difference in the mean age, parity, gestational period, baby birthweight, 5 min baby Apgar score and EPDS scores of the two groups. However, the analysis of PND indicated that women with emergency delivery had a relative risk of 1.81 compared with women with non-emergency delivery. The comparison of the two groups using chi2 indicated a significant (chi2 = 3.94, d.f. = 1, P = 0.04) increase in the presence of PND in the emergency delivery.
CONCLUSION: When compared with women having non-emergency delivery, women having emergency delivery had about twice the risk of developing PND. Special attention to this group appears warranted.
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: Based on the initial screening, a total of 100 participants (n = 50 euthymic, n = 50 depressive) underwent 32-channel EEG acquisition. Simple logistic regression and C-statistic were used to explore if EEG power could be used to discriminate between the groups. The strongest EEG predictors of mood using multivariate logistic regression models.
RESULTS: Simple logistic regression analysis with subsequent C-statistics revealed that only high-alpha and beta power originating from the left central cortex (C3) have a reliable discriminative value (ROC curve >0.7 (70%)) for differentiating the depressive group from the euthymic group. Multivariate regression analysis showed that the single most significant predictor of group (depressive vs. euthymic) is the high-alpha power over C3 (p = 0.03).
CONCLUSION: The present findings suggest that EEG is a useful tool in the identification of neurophysiological correlates of depressive symptoms in young adults with no previous psychiatric history.
SIGNIFICANCE: Our results could guide future studies investigating the early neurophysiological changes and surrogate outcomes in depression.