Mental and physical non-communicable diseases (NCDs) coexist, because they share common environmental and behavioral risk factors. The treatment gap for common mental disorders, such as depression, anxiety, and substance use, is large compared to other NCDs.

(Fenugreek) is an extensively researched phytotherapeutic for the management of Type 2 diabetes without any associated side effects. The major anti-diabetic bioactive constituents present in the plant are furostanolic saponins, which are more abundantly available in the seed of the plant. However, the bioavailability of these components depends on the method of extraction and hence formulation of the phytotherapeutic constitutes a critical step for its success.

India approved COVID-19 vaccine called Covaxin, developed by the Indian Council of Medical Research and Bharat Biotech Ltd. The primary objective of the study was to estimate the effectiveness of Covaxin in preventing breakthrough SARS-CoV-2 infection in healthcare workers (HCWs). A test-negative matched case-control study was conducted among HCWs of tertiary care hospital in Eastern India. Any HCW who tested positive for COVID-19 using RT-PCR during April and May 2021 was taken as the case. The HCWs who tested negative for COVID-19 by RT-PCR were considered as controls after matching with the date of testing and profession of the cases. Vaccination data were collected from the institution's vaccine database and recall. In case of discrepancy, it was confirmed from the CoWIN portal (cowin.gov.in). The sample size was 670 participants (335 pairs). Conditional logistic regression models were used to calculate the adjusted odds ratio for breakthrough SARS-CoV-2 infection. Vaccine effectiveness was calculated using the following formula: VE = (1-aOR) × 100%. Sensitivity analysis was done for effectiveness of Covaxin, excluding Covishield vaccination. The mean age of participants was 29.1 years (SD = 7.1), and the majority were males (55.2%). Among the study participants, 60% were completely vaccinated, 18.51% were partially vaccinated, and 21.49% were unvaccinated. After adjusting for age, gender, type of household and past history of COVID-19 disease in conditional logistic models, the vaccine effectiveness was 22% (aOR 0.78, 95% CI: 0.52-1.17; p = .233). Sensitivity analysis with Covaxin showed an effectiveness of 29% (aOR 0.71, 95% CI: 0.47-1.08; p = .114) for preventing breakthrough SARS-CoV-2 infection.

This study was undertaken to assess the health status of newborns discharged from Sick Newborn Care Units (SNCU) of the Cyclone Fani affected districts of Odisha, which is amongst the highest neonatal mortality rate states in the country.

The study aimed to assess the adverse events following COVID-19 vaccine (Covaxin) immunization at a tertiary care institution and also assess the predictors of the adverse events following immunization (AEFI). The prospective observational study was conducted in a tertiary care institute among the Covaxin beneficiaries between June 28 and September 6, 2021. A total of 1826 participants were assessed for any local or systemic adverse events after seven days of vaccination. A telephonic interview was conducted, and the beneficiaries were assessed according to the adverse event grading. A total of 1826 participants were assessed for AEFI, and 544 (29.8%) reported at least one of the AEFI. No severe adverse events were reported, and about 1.6% had moderate AEFI. Pain at the injection site (14.6%), fever (9.7%), and myalgia (5.9%) were the common adverse events reported by the participants. AEFI incidence was higher in the first dose (38.1%) when compared to the second dose (26.4%), and this finding was significant with a p < 0.001. The major factors associated with AEFI were female sex, history of an allergic reaction, presence of comorbidities, acute infection in the past 3 months, and intake of chronic medications. Precaution needs to be taken while vaccinating individuals having allergies, comorbidities, acute infection in the last 3 months, and individuals on chronic medication.

Dyslipidemia is an important risk factor for atherosclerosis and coronary heart disease, leading to mortality and morbidity in subjects with T2DM. This risk is higher in subjects with diabetes who are on retinoid therapy for some other indication, where hypercholesterolemia, hypertriglyceridemia, and low serum high-density lipoprotein cholesterol (HDL-C), and sudden cardiovascular deaths have been reported. Our study aimed to find the correlation of serum retinol and atherogenic index (AI) in subjects with T2DM and compare them with healthy controls. We found there was a significant difference in systolic and diastolic blood pressure, body mass index, waist circumference, waist hip ratio, total cholesterol (TC), Triglycerides (TG), non-high density lipoprotein cholesterol (non-HDL-C), the atherogenic ratio of cholesterol (ARC), atherogenic index of plasma (AIP) and AI between the two groups. There was a significant positive correlation of serum retinol with TC, TG, LDL-C, Non-HDL-C, ARC, AIP, and AI. In our study we found an association of serum retinol with atherogenic index and dyslipidemia in subjects with T2DM. Serum retinol can be a novel predictor of cardiovascular risk in subjects with T2DM.

The contact tracing and subsequent quarantining of health care workers (HCWs) are essential to minimizing the further transmission of SARS-CoV-2 infection and mitigating the shortage of HCWs during the COVID-19 pandemic situation.

The primary objective of National NCD monitoring survey (NNMS) was to generate national-level estimates of key NCD indicators identified in the national NCD monitoring framework. This paper describes survey study protocol and prevalence of risk factors among adults (18-69 years).

Repeated serological testing tells about the change in the overall infection in a community. This study aimed to evaluate changes in antibody prevalence and kinetics in a closed cohort over six months in different sub-populations in India. The study included 10,000 participants from rural and urban areas in five states and measured SARS-CoV-2 antibodies in serum in three follow-up rounds. The overall seroprevalence increased from 73.9% in round one to 90.7% in round two and 92.9% in round three. Among seropositive rural participants in round one, 98.2% remained positive in round two, and this percentage remained stable in urban and tribal areas in round three. The results showed high antibody prevalence that increased over time and was not different based on area, age group, or sex. Vaccinated individuals had higher antibody prevalence, and nearly all participants had antibody positivity for up to six months.