Background: Perceived stress during pregnancy is associated with adverse obstetric outcomes. Antenatal perceived stress is still unaware and under-diagnosed during routine antenatal care. There has not yet been a study of prevalence and associated factors among pregnant women living in urban areas in Thailand. Understanding antenatal perceived stress is important to improve maternal and neonatal outcomes. Objective: To identify the prevalence, associated factors, and predictive factors of perceived stress in pregnant women living in an urban area.
Objectives This study aimed to measure the prevalence of burnout syndrome, anxiety, depression, and post-traumatic disorders (PTSD), as well as examine their associated factors among Thai healthcare workers (HCWs) during COVID-19 outbreak. Method We employed a multiple-method design at a tertiary-care hospital in Bangkok between May 22, 2021 and June 30, 2021 by using an online survey. The information included demographic characteristics, work details, perceived support, PTSD symptoms, Maslach Burnout Inventory: General Survey (MBI-GS), General Anxiety Disorder-7 (GAD-7), Patient Health Questionnaire (PHQ-2 and PHQ-9), and narrative response to an open-ended question. The associated factors of mental health problems were analysed by multiple logistic regression analyses. The qualitative data were analysed by the content analysis method. Results A total of 986 HCWs (89.1% female; mean age = 34.89 ± 11.05 years) responded to the survey. 16.3%,16%, and 53.5% of respondents had a high level of emotional exhaustion, depersonalisation, and diminished personal achievement, respectively. 33.1%, 13.8%, and 2.3% of respondents had anxiety, depression, and PTSD. Risk factors of emotional exhaustion were male sex (ORadj = 2.29), nurses (ORadj = 3.04), doctors (ORadj = 4.29), working at COVID-19 inpatient unit (ORadj = 2.97), and working at COVID-19 intensive care unit (ORadj = 3.00). Additionally, preexisting mental illness was associated with anxiety (ORadj = 2.89), depression (ORadj = 3.47), and PTSD (ORadj = 4.06). From qualitative analysis, participants reported that these factors would improve their mental health: supportive and respectful colleagues, appropriate financial compensation, reduced workload, clarity of policy and communication channel, and adequate personal protective equipment. Conclusions Thai HCWs experienced negative mental health outcomes during the COVID-19 pandemic substantially. This issue needs attention and actions should be implemented to support them.
Background: Depression is a major public health problem in middle-and low-income countries. Depression in pregnancy has adverse effects on obstetric outcomes. Maternal depression remains under-recognized, under-diagnosed and undertreated in Thailand. Antenatal screening of depression is an important strategy to improve maternal and neonatal outcomes. This problem has rarely been investigated in Thailand, especially in urban areas. Objective: To discover the prevalence, associated factors, and predictive factors of depression in pregnant women living in an urban area. Materials and Methods: This cross-sectional study of 402 pregnant women was conducted during antenatal care at the
Background Depression is one of the most significant mental illnesses in the elderly population. Societal and economic changes in the social structure, particularly in urban communities, have led to a tendency toward depression in the elderly. Therefore, understanding the factors associated with depression among the elderly living in urban areas in Thailand is important to prevent and mitigate depression. Objective To investigate the proportion of depression and its associated factors in the elderly living in Bangkok. Materials and Methods This was a cross-sectional descriptive study with a sample size of 888 people living in Thai urban communities, including those in slum, urban, suburban, and high-rise building areas. A two-parts questionnaire was used: 1) the Thai Geriatric Depression Scale (TGDS) to assess depression and 2) associated factors. Results The overall percentage of depression in the sample population was 7.3%, and the proportion of depression was associated with community density ( p = 0.031). The factors significantly associated with depression in the elderly included anxiety about an underlying disease [adjusted odds ratio (AOR) = 7.51; 95% CI 3.47–16.27], family conflict (AOR = 6.30; 95% CI 1.34–29.55), family history of psychiatric illness (AOR = 5.78; 95% CI 2.35–14.21), financial problems (AOR = 3.81; 95% CI 2.08–6.98), living separately from a spouse (AOR = 3.31; 95% CI 1.22–8.98), and less or no activity participation (AOR = 3.09; 95% CI 1.32–7.26 and AOR = 3.02; 95% CI 1.29–7.09). Conclusion To mitigate depression in the elderly, attention should be given to any underlying medical disease. The community also should promote more activities accessible to the elderly, especially income-earning activities. These activities might promote better relationships or ease conflict among elderly and other family members.
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