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Background: Depression, due to its devastating consequences, emerged as the third leading cause of mortality among adolescent school-going children. This necessitates research on determinants of depression among students for effective management. The present study evaluated the various determinants associated with depression among the science students of a private school in Rajkot city, India. Materials and Methods: A cross-sectional study was carried out among the 1219 students of a private school of science stream in Rajkot city, adopting multistage sampling methods. Students were screened using Patient Health questionnaire-9 (modified for teens) for depression. A pre-tested semi-structured questionnaire was used to assess the determinants associated with depression. Binary logistic regression analysis was done to find out predictors of depression. Results: About 31.99% of students were found suffering from depression. Physical illness, academic performance, substance abuse, feeling study tough, difficulties in transport, food, monetary and accommodation at a hostel or home, pressure from parents for study, physical activities, sleep disturbance, and bad relations with teachers and classmates were significantly associated with depression. While parental education, physical illness, addiction to any substance, and academic performance emerged only as a predictor of depression. Conclusion: The present study showed a significant proportion of students suffering from depressive symptoms and revealed predictors of depression among the students. These required integrated efforts to minimize the risk of depression among the students. [ABSTRACT FROM AUTHOR]

Across India, there have been multiple studies conducted to address the issues of the mental health of healthcare workers during the COVID-19 pandemic. The present study estimated the pooled prevalence of psychological morbidity among healthcare workers during the early phase of the COVID 19 pandemic in India. We searched the following electronic bibliographic databases: PubMed, ScienceDirect, Wiley online library, and Google scholar for studies conducted from the onset of the COVID 19 pandemic until 25 September 2021. The methodological quality of each study was scored and outcome measures with uniform cut off scores as per various screening measurements were evaluated. According to the current meta analysis, the pooled estimates of depression, anxiety, stress, and insomnia among Indian healthcare workers during the COVID 19 pandemic are 20.1% (95% CI: 15.6 to 24.6%; n = 21 studies), 25.0% (95% CI: 18.4 to 31.6%; n = 20 studies), 36% (95% CI: 23.7 to 48.2%; n = 22 studies) and 18.9% (95% CI: 9.9 to 28.0%; n = 6 studies) respectively. In subgroup analyses, low quality studies based on the JBI checklist (Score < 3/9) and studies using DASS 21 showed a higher pooled prevalence of depression and anxiety. About 20–36% of the healthcare workers in India reported having depression, anxiety, and stress during the early phase of the COVID 19 pandemic. The present study provides a comprehensive review of the overall burden of mental health problems among healthcare workers during the COVID 19 pandemic in India necessitating appropriate intervention strategies to protect these frontline groups before the memory of the pandemic crisis starts to fade. [ABSTRACT FROM AUTHOR]

Background: Depression often interferes with self-management and treatment of medical conditions. This may result in serious medical complications and escalated health-care cost. Objectives: Study distribution of heart failure (HF) cases estimates the prevalence of depression and its effects on HF-related hospital costs by ethnicity and gender. Methods: Secondary data files of California Hospital Discharge System for he year 2010 were examined. For patients with a HF diagnosis, details regarding depression, demographics, comorbid conditions, and hospital costs were studied. Age-adjusted HF rates and depression were examined for whites, blacks, Hispanics, and Asians/Pacific Islanders (AP) by comparing HF patients with depression (HF +D) versus HF without depression (HFND). Results: HF cases (n = 62,685; average age: 73) included nearly an equal number of males and females. HF rates were higher (P < 0.001) among blacks compared to Hispanics, AP, and whites and higher among males than females. One-fifth of HF patients had depression, higher among females and whites compared to males and other ethnic groups. Further, HF hospital costs for blacks and AP were higher (P < 0.001) compared to other groups. The cost for HF +D was 22% higher compared to HFND, across all gender and ethnic groups, largely due to higher comorbidities, more admissions, and longer hospitalization. Conclusion: Depression, ethnicity, and gender are all associated with increased hospital costs of HF patients. The higher HF and HF +D costs among blacks, AP, and males reflect additional burden of comorbidities (hypertension and diabetes). Prospective studies to assess if selective screening and treating depression among HF patients can reduce hospital costs are warranted. [ABSTRACT FROM AUTHOR]

Call center sector in India is a relatively new industry and one of the fastest growing sectors driving employment and growth in modern India today. While employment in the business process outsourcing (BPO) sector has meant that young adults are reaching their career milestones and financial goals much earlier than before, surveys and anecdotal evidence show that workers in the BPO sector experience high levels of stress and its related disorders, primarily due to its contemporary work settings. Safeguarding the health of youngsters employed in this new, growing economy becomes an occupational health challenge to public health specialists. [ABSTRACT FROM AUTHOR]