METHODOLOGY: All the subjects who met the inclusion criteria were recruited for this comparative cross-sectional study, which was conducted from May to July 2020 in two hospitals in Kelantan, Malaysia. A self-administered questionnaire, namely, the Malay-version Vicarious Traumatization Questionnaire and the Medical Outcome Study Social Support Survey were utilized. A descriptive analysis, independent t-test, and analysis of covariance were performed using SPSS Statistics version 26.
RESULTS: A total of 160 frontline and 146 non-frontline healthcare providers were recruited. Vicarious traumatization was significantly higher among the non-frontline healthcare providers (estimated marginal mean [95% CI]: 79.7 [75.12, 84.30]) compared to the frontline healthcare providers (estimated marginal mean [95% CI]: 74.3 [68.26, 80.37]) after adjusting for sex, duration of employment, and social support.
CONCLUSION: The level of vicarious traumatization was higher among non-frontline compared to frontline healthcare providers. However, the level of severity may differ from person to person, depending on how they handle their physical, psychological, and mental health. Hence, support from various resources, such as colleagues, family, the general public, and the government, may play an essential role in the mental health of healthcare providers.
AIM: This study aims to determine the rate of depression among caregivers of person with depression and its psychosocial correlates, which include stigma, perceived social support, religious commitment and the severity of the patient's symptoms.
METHODS: A cross-sectional study was conducted among 165 patients diagnosed with MDD using the Mini-International Neuropsychiatric Interview (M.I.N.I.) together with their caregivers. Apart from gathering social demographic data, patients were administered the 16-item Quick Inventory of Depressive Symptomatology-Self-Rated Version (QIDS-SR 16), whereas the caregivers were required to answer Patient Health Questionnaire-9 (PHQ-9), Multidimensional Scale of Perceived Social Support (MSPSS), Duke University Religion Index (DUREL) and Depression Stigma Scale (DSS). Those who scored ⩾5 on PHQ-9 were further assessed with interviewer-rated M.I.N.I. to diagnose the presence of depression.
RESULTS: A total of 47 (28.5%) caregivers were found to have depressive symptoms. Out of that total, 13 (7.9%) were diagnosed to have MDD using M.I.N.I. From univariate analysis, factors associated with depression in caregivers were the severity of symptoms in patients ( p social support from friends ( p = .048). From multivariate analysis, only the patients' severity of depressive symptoms ( p
METHODS: Using thematic analysis based on three frameworks, 120 posted messages and comments were examined from MyEndosis Facebook group-a support group for women with endometriosis from January to July 2014.
RESULTS: Results showed the issues discussed were (a) personal struggles, (b) medication and treatment, (c) alternative medication, (d) side effects, and (e) medication recommended by doctors. While using this social medium, users found (a) emotional support, (b) esteem support, (c) information support, (d) network support, and (e) tangible assistance in their engagement with others.
CONCLUSION: The analysis suggested that users' interactions were structured around information, emotion, and community building, which many doctors and nurses were not aware of. The group was shaped as a social network where peer users share social support, cultivate companionship, and exert social influence.
Methods: Thirteen focus group discussions involving 129 participants from a weight-loss intervention program were conducted within the first 1 month of recruitment. These discussions were moderated by two trained researchers in the Malay language and assisted by an interview guide. They were audio-recorded and transcribed verbatim. A thematic analysis was performed, and codes and themes from each discussion were constructed.
Results: The participants understood dieting with various meanings, including skipping meals and removing rice from daily diets. They applied numerous methods to lose weight and achieved various outcomes. Health and appearance, social support, and compliance with current trends were the factors motivating these participants to lose weight. Their determination to lose weight was limited by lack of self-control and motivation, experiences of unpleasant effects, influence on weight, and environmental and health factors.
Conclusion: Real-life weight loss experiences and perceptions provided relevant insights into current weight loss management strategies. Some of these issues and misunderstandings should be emphasized in weight loss strategies during health promotion.