Introduction: Depression during perinatal period leads to adverse pregnancy outcome and of child growth. Our study aimed to examine the burden of antenatal depression and associated risk factors among pregnant women living in rural settings of Chennai, a southern state of India.
Background. Polycystic ovarian syndrome (PCOS) is a multifaceted disorder characterized by varying clinical presentations. Objective. The aim of this study was to determine urban and rural differences in the burden of polycystic ovarian syndrome among Indian adolescent females aged 12 to 19 years. Methods. A pilot cross-sectional study was conducted for a period of one month (August-September 2013) at Balaji Hospital, Vellore, Tamil Nadu, India. The final sample included 126 study participants located in various urban (50%, n = 63) and rural (50%, n = 63) settings. Information was gathered on sociodemographic and anthropometric characteristics, clinical history, occurrence of acne and hirsutism, serum testosterone levels, obstetric history, family history of chronic diseases, menstrual history, physical activity, and dietary intake. Results. Eighteen percent of the participants were confirmed of having PCOS by recent guidelines of Rotterdam Consensus for adolescent diagnosis of PCOS (presence of all three elements). Majority of the individuals with PCOS had an average age of 16 (SD = 2) (P = .02) years with an average age of menarche 12 years (SD = 1). Conclusion. The proportion of participants diagnosed with PCOS was higher among urban participants in comparison to rural participants.
Background: Frontline healthcare workers (F-HCWs) are at the forefront of medical care providers against the novel coronavirus 2019 (COVID-19) pandemic which has life-threatening potentials. Inadequate knowledge and incorrect attitudes among HCWs can directly influence practices and lead to delayed diagnosis, poor infection control practices, and spread of disease. Objectives: The aim of this study was to assess the knowledge, attitude and practice (KAP) regarding the COVID-19 pandemic among the frontline healthcare workers (F-HCWs) working at a tertiary care hospital situated in Eastern Uttar Pradesh and to identify the factors significantly associated with KAP. Methods: A cross-sectional study was conducted among 260 health care providers across eastern Uttar Pradesh including Basti city during December 2020. Data was collected using a self-primed pretested questionnaire from the FHCWs working at a tertiary care hospital of eastern Uttar Pradesh. In this survey, a convenience sampling method was adopted. 12 items on knowledge, 10 items on attitude, and 5 items on practices related to COVID-19. The other variables consisted of 4 items on socio-demographic attributes, P-value and 95% confidence intervals (CIs) were performed to assess the attitude and practices in relation to knowledge. Results: Of the total 260 study population, 228 were interviewed online, 32 were self-administered. Knowledge and attitude of the nursing staff were highest but practice score was best for residents. Among different age groups knowledge, attitude and practices scores were highest for 35-45, 45-60 and 25-35 age groups respectively. Respondents having 5-10 years of experience had the best knowledge and the attitude score was highest for HCWs having 10-20 years’ experience but the practice score was higher for HCWs having more than 20 years’ work experience. Overall knowledge score of respondents having strong correlation with attitude (p< 0.05) and to the practice (p<0.05). Conclusion: In this survey many F-HCWs reported adequate overall knowledge with a positive attitude and adopted appropriate practices. The F-HCWs with a higher level of education and more years of experience in health care facilities had better KAP towards COVID-19.
Purpose This study is aims at evaluating the efficacy and sensitivity of specimen pooling for testing of SARS-CoV-2 virus to determine the accuracy, resource savings, and identification of borderline positive cases without impacting the accuracy of the testing. Method This study was conducted between August and October 2020, we performed COVID-19 testing by RT-PCR on the samples from varying prevalence of rural population (non-hot spot) referred to COVID laboratory, in the first step, the samples were collated into pools of 5 or 10. These pools were tested by RT-PCR. Negative pools were reported as negative whereas positive pools of 5 and 10 were then de-convoluted and each sample was tested individually. Results In the present study, we tested 1580 samples in 158 pools of 10 and 17,515 samples in 3503 pools of 5. Among 10 samples pool, 11 (13%) pools flagged positive in the first step. In the second step, among 11 pools (110 samples) de-convoluted strategy was followed in which 10 individual samples came positive. Among 5 samples pool, 164 (13%) pools flagged positive in the first step. In the second step, among 164 pools (820 samples) de-convoluted strategy was followed in which 171 individual samples came positive. The pooled sample testing strategy saves substantial resources and time during surge testing and enhanced pandemic surveillance. This approach requires around 76%–93% fewer tests in low to moderate prevalence settings and group sizes up to 5–10 in a population, compared to individual testing. Conclusion Pooled sample RT- PCR analysis strategies can save substantial resources and time for COVID-19 mass testing in comparison with individual testing without compromising the quality of outcome of the test. In particular, the pooled sample approach can facilitate mass screening in the early asymptomatic stages of COVID-19 infections.
Infection born by Coronavirus SARS-CoV-2 has swept the world within a time of a few months. It has created a devastating effect on humanity with social and economic depressions. Europe and America were the hardest hit continents. India has also lost several lives, making the country fourth most deadly worldwide. However, the infection and death rate per million and the case fatality ratio in India were substantially lower than many of the developed nations. Several factors have been proposed including the genetics. One of the important facts is that a large chunk of Indian population is asymptomatic to the SARS-CoV-2 infection. Thus, the real infection in India is much higher than the reported number of cases. Therefore, the majority of people are already immune in the country. To understand the dynamics of real infection as well as level of immunity against SARS-CoV-2, we have performed antibody testing (serosurveillance) in the urban region of fourteen Indian districts encompassing six states. In our survey, the seroprevalence frequency varied between 0.01-0.48, suggesting high variability of viral transmission among states. We also found out that the cases reported by the Government were several fold lower than the real infection. This discrepancy is majorly driven by a higher number of asymptomatic cases. Overall, we suggest that with the high level of immunity developed against SARS-CoV-2 in the majority of the districts, it is less likely to have a second wave in India.
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