Prevalence and predictors of depressive symptoms among caregivers of patients with epilepsy in Hong Kong.

STUDY AIM: To estimate the prevalence of high caregiving burden and depressive symptoms among caregivers (CG) of patients with epilepsy (PWEs) in Hong Kong and identify risk and protective factors for both outcomes after the Model of Stress and Carer Burden (MSCB). METHODS: This cross-sectional study recruited participants from local epilepsy clinics to complete a 15-minute survey on a tablet. Caregiving burden (CB) was assessed using the 4-item Zarit Caregiver Burden Interview. Depressive symptoms were assessed using the 2-item Patient Health Questionnaire. Family functioning was assessed using the Short-Form Family Assessment Device General Functioning Subscale. Sociodemographic data of the caregivers and clinical data of the PWE they cared for were described. Hierarchical logistic regression models were used to analyze the factors associated with the outcomes. RESULTS: A hundred and fifty-one CGs of PWEs were recruited for this study. The prevalence of high caregiving burden (ZBI-4 > 7) for CGs of PWEs was 58.9% (n = 89), whereas the prevalence of high depressive symptoms (PHQ2 > 2) was 23.8% (n = 36). Hierarchical logistic regression analysis revealed that entering patient characteristics and care situations did not enhance the model's predictability. In the full model, a high perceived CB was a risk factor for elevated depressive symptoms. Good physical health protects against depressive symptoms. CONCLUSIONS: Among caregivers of PWE in Hong Kong, a high perceived caregiving burden was a risk factor for elevated depressive symptoms; however, the clinical characteristics of the PWEs were not. Self-reported physical health is a protective factor against increased depressive symptoms.

Mental health in pregnant individuals during the COVID-19 pandemic based on a Swiss online survey.

The aim of our study was to evaluate the mental health of pregnant individuals during the early COVID-19 pandemic and the potential factors associated. A Swiss online survey was proposed to individuals who gave birth during the pandemic period from March 2020. The Edinburgh Postnatal Depression Scale (EPDS), Generalized Anxiety Disorder 7 questions (GAD-7), and Impact Event Scale-Revised (IES-R) were evaluated and used to defined mental health impairment as a composite outcome. From October, 2020 to February, 2021, 736 participants responded. The anxiety GAD-7 score was moderate in 9.6% and severe in 2.0%. The EPDS was moderate in 21.5% and severe in 32.9%. The IES-R was moderate in 10.3% and severe in 3.9%. Mental health impairment was reported in 37.0%. The association between the risk of mental health impairment and foreign nationality was significant (OR = 1.48; 95%CI [1.06-2.05]) as well as fetal and pregnancy worries because of coronavirus (OR = 1.46; 95% CI [1.08-1.98]) and 1.65; 95% CI [1.22-2.24]). Adjusted ORs were significant for foreign nationality (aOR = 1.51; 95%CI [1.07-2.13]) and pregnancy worries because of coronavirus (aOR = 1.62; 95%CI [1.10-2.40]). Pregnant people and especially foreign national have a high risk of mental health impairment during the pandemic.

Mental health of Urban Mothers (MUM) study: a multicentre randomised controlled trial, study protocol.

INTRODUCTION: Mental health disorders are common during pregnancy and the postnatal period and can have serious adverse effects on women and their children. The consequences for global mental health due to COVID-19 are likely to be significant and may have a long-term impact on the global burden of disease. Besides physical vulnerability, pregnant women are at increased risk of mental health problems such as anxiety, depression and post-traumatic stress disorder due to the consequences of social distancing. It can result in altered healthcare routines, less support from the family and friends, and in some cases, partners not being allowed to be present during prenatal visits, labour and delivery. Higher than expected, rates of perinatal anxiety and depression have been already reported during the pandemic. Pregnant women may also feel insecure and worried about the effects of COVID-19 on their unborn child if they get infected during pregnancy. Today, young urban women are used to using internet services frequently and efficiently. Therefore, providing mental health support to pregnant women via internet may be effective in ameliorating their anxiety/depression, reducing the risk of serious mental health disorders, and lead to improved maternal and perinatal outcomes. OVERARCHING AIM: Our aim is to explore the effectiveness of a web-based psychosocial peer-to-peer support intervention in reducing the risk and severity of perinatal mental health disorders and preventing adverse pregnancy outcomes among pregnant women living in metropolitan urban settings. METHODS AND ANALYSIS: We plan to conduct a multicentre prospective randomised controlled trial, Mental health of Urban Mothers trial. Pregnant women living in large metropolitan cities will be recruited using internet-based application through non-profit organisations' websites. The women who consent will be randomised to receive a web-based peer-to-peer support intervention or usual care. Data will be analysed to identify the effects of intervention on Edinburgh Postnatal Depression Score and Generalised Anxiety Disorder 7 scores as well as pregnancy outcomes. The impact of COVID-19 pandemic on maternal stress will be assesed using Impact Event Scale-R. Any differences in outcomes between cities will be addressed in subgroup analyses. ETHICS AND DISSEMINATION: The study will be conducted according to the principles of Good Clinical Practice and will follow the ethical principles of the Declaration of Helsinki. The study protocol has been approved by the ethical review board of Chinese University of Hong Kong (IRB number 2019-8170) and Shanghai Center for Women's and Children's Health (international review board (IRB) number 2020-F001-12). The results will be disseminated at national and international scientific conferences, published in peer-reviewed medical journals and spread to the public through social media, news outlets and podcasts. TRIAL REGISTRATION NUMBER: NCT04363177; Trial sponsor Karolinska Institute, CLINTEC, Stockholm, Sweden.