METHODS: This study is from the MyBCC cohort study. Two hundred and twenty one female breast cancer patients were included into the study. They were assessed at the time of diagnosis, 6 months and 12 month using Hospital Anxiety and Depression Scale (HADS) and distress thermometer. The information on age, ethnicity, treatment types and staging of cancer were collected.
RESULTS: 50.2%, 51.6% and 40.3% of patients had perceived high level of distress at baseline, 6 months and 1 year after diagnosis. Those with high perceived level of distress had significant higher anxiety scores even after adjusted for the underlying depressive scores (Adjusted OR at baseline = 1.28, 95% CI = 1.13-1.44; adjusted OR at 6 months = 1.27, 95% CI = 1.11-1.45; adjusted OR at 12 months = 1.51, 95% CI = 1.29-1.76). There were no significant differences in the depressive scores between the subjects with either low or high distress level. There was reduction in perceived level of distress, anxiety and depression scores at 12 months after the diagnosis. The decrease of distress was positively correlated with the reduction of anxiety scores but not the changes of depressive scores (r' = 0.25).
CONCLUSION: Anxiety is a more significant psychological state that contributed to the feeling of distress in breast cancer as compared with depression. Levels of anxiety at diagnosis in this study would justify screening for anxiety, early identification and therapy for maintaining the psychological well-being of breast cancer patients. Further studies will be needed to measure the effectiveness of therapeutic interventions.
METHOD: A systematic review and meta-analysis approach was adopted as per the PRISMA guidelines, targeting articles published in PubMed, Google Scholar and Scopus from January 2021 to March 30, 2021. The screening resulted in 82 papers.
RESULTS: The overall pooled depression prevalence among 201,953 respondents was 34% (95%CI, 29-38, 99.7%), with no significant differences observed between the cohorts, timelines, and regions (p > 0.05). Dominant risk factors found were fear of COVID-19 infection (13%), gender (i.e., females; 12%) and deterioration of underlying medical conditions (8.3%), regardless of the sub-groups. Specifically, fear of COVID-19 infection was the most reported risk factor among general population (k = 14) and healthcare workers (k = 8). Gender (k = 7) and increased workload (k = 7) were reported among healthcare workers whereas education disruption among students (k = 7).
LIMITATION: The review is limited to articles published in three electronic databases. Conclusion The pandemic has caused depression among the populations across Asia Pacific, specifically among the general population, healthcare workers and students. Immediate attention and interventions from the concerned authorities are needed in addressing this issue.
OBJECTIVE: The objective of this study is to determine the relationship between child feeding practices and current maternal depression with malnutrition among young children in a rural community.
METHODS: This is a case-control study consisting of 52 Malay mothers of malnourished children (case) and 50 Malay mothers of well-nourished children (control) in Kuala Langat, Selangor, Malaysia. Structured questionnaires on child feeding practices and Beck Depression Inventory: Second Edition questionnaire were distributed to mothers.
RESULTS: Depressed mothers stopped exclusive breastfeeding (2.8 ± 2.1 months) earlier than non-depressed mothers (3.7 ± 2.0 months; p = 0.045). Binary logistic regression analysis showed current maternal depression was a primary contributor associated with risk of malnutrition in children (adjusted odds ratio: 2.5, 95% confidence interval: 1.08-6.09), and followed by the number of children (adjusted odds ratio: 1.3, 95% confidence interval: 1.02-1.77).
CONCLUSION: Mothers who experienced depression were twice as likely to have malnourished children. Each additional child in the family will increase the risk of malnutrition by 1.3 times. Maternal depression is associated with child feeding practices and malnutrition among young children in the studied population. Preliminary screening to identify depression symptoms should be conducted to all mothers as early as the first trimester to prevent the incidence of malnutrition in children.
OBJECTIVES: To assess the effect of psychological interventions on psychological morbidities and quality of life among women with non-metastatic breast cancer. SEARCH METHODS: We searched the Cochrane Breast Cancer Group Specialised Register, CENTRAL, MEDLINE, Embase, CINAHL, PsycINFO, the World Health Organization International Clinical Trials Registry Platform (WHO ICTRP) and ClinicalTrials.gov up to 16 March 2021. We also scanned the reference lists of relevant articles.
SELECTION CRITERIA: Randomised controlled trials that assessed the effectiveness of psychological interventions for women with non-metastatic breast cancer.
DATA COLLECTION AND ANALYSIS: Two review authors independently appraised, extracted data from eligible trials, and assessed risk of bias and certainty of the evidence using the GRADE approach. Any disagreement was resolved by discussion. Extracted data included information about participants, methods, the intervention and outcomes.
MAIN RESULTS: We included 60 randomised controlled trials comprising 7998 participants. The most frequent reasons for exclusion were non-randomised trials and the inclusion of women with metastatic disease. The updated review included 7998 randomised women; the original review included 3940 women. A wide range of interventions was evaluated. Most interventions were cognitive- or mindfulness-based, supportive-expressive, and educational. The interventions were mainly delivered face-to-face (56 studies) and in groups (50 studies) rather than individually (10 studies). Most intervention sessions were delivered on a weekly basis with an average duration of 14 hours. Follow-up time ranged from two weeks to 24 months. Pooled standardised mean differences (SMD) from baseline indicated that the intervention may reduce depression (SMD -0.27, 95% confidence interval (CI) -0.52 to -0.02; P = 0.04; 27 studies, 3321 participants, I2 = 91%, low-certainty evidence); anxiety (SMD -0.43, 95% CI -0.68 to -0.17; P = 0.0009; 22 studies, 2702 participants, I2 = 89%, low-certainty evidence); mood disturbance in the intervention group (SMD -0.18, 95% CI -0.31 to -0.04; P = 0.009; 13 studies, 2276 participants, I2 = 56%, low-certainty evidence); and stress (SMD -0.34, 95% (CI) -0.55 to -0.12; P = 0.002; 8 studies, 564 participants, I2 = 31%, low-certainty evidence). The intervention is likely to improve quality of life in the intervention group (SMD 0.78, 95% (CI) 0.32 to 1.24; P = 0.0008; 20 studies, 1747 participants, I2 = 95%, low-certainty evidence). Adverse events were not reported in any of the included studies.
AUTHORS' CONCLUSIONS: Based on the available evidence, psychological intervention may have produced favourable effects on psychological outcomes, in particular depression, anxiety, mood disturbance and stress. There was also an improvement in quality of life in the psychological intervention group compared to control group. Overall, there was substantial variation across the studies in the range of psychological interventions used, control conditions, measures of the same outcome and timing of follow-up.
METHODS: Chi-square tests were used for initial screening to select only those variables which would show an initial significance. Risk Ratios (RR) were calculated, and a Multiple Backward Stepwise Linear Regression Analysis (MBSLRA) was followed with those variables given significant results at screening and with the presence of distress or depression or the lack of both of them.
RESULTS: The most important risk factors for depression were female (RR = 1.59-5.49) and non-binary gender (RR = 1.56-7.41), unemployment (RR = 1.41-6.57), not working during lockdowns (RR = 1.43-5.79), bad general health (RR = 2.74-9.98), chronic somatic disorder (RR = 1.22-5.57), history of mental disorders (depression RR = 2.31-9.47; suicide attempt RR = 2.33-9.75; psychosis RR = 2.14-10.08; Bipolar disorder RR = 2.75-12.86), smoking status (RR = 1.15-5.31) and substance use (RR = 1.77-8.01). The risk factors for distress or depression that survived MBSLRA were younger age, being widowed, living alone, bad general health, being a carer, chronic somatic disorder, not working during lockdowns, being single, self-reported history of depression, bipolar disorder, self-harm, suicide attempts and of other mental disorders, smoking, alcohol, and substance use.
CONCLUSIONS: Targeted preventive interventions are crucial to safeguard the mental health of vulnerable groups, emphasizing the importance of diverse samples in future research.
LIMITATIONS: Online data collection may have resulted in the underrepresentation of certain population groups.