Background: In the era of new normal life (after Coronavirus Disease 2019 (COVID-19)), our children are experiencing the double threat of COVID-19 and Childhood Obesity (CO-BESITY). The rate of childhood obesity has been rapidly increasing in developed as well as low middle-income countries during the pandemic. Design and Methods: The current paper aims to identify the probable reasons of increase in childhood obesity during this pandemic and offers suggestions to reduce the burden of it. Literature search was done using PubMed, Google Scholar, and Scopus databases for the key terms “childhood obesity,” “obesity,” “pandemic,” and/or childhood obesity. All the relevant articles were included to support the argument for this viewpoint. Results: Childhood obesity is a complicated disorder having diverse outcomes. The incidence of childhood obesity is clearly analysed from Bronfenbrenner's model of child development. The model examines an overabundance of bio-psycho-social backgrounds, risks, and probable outcomes on the development of a child. COVID-19 pandemic has disrupted the ecosystem of this dynamic model and has created an economic and social-cultural crisis that has ignited a chain reaction of stressors upon children and their families. In this paper, we have described how this Bronfenbrenner's model of child development also known as the Bioecological Model can be effective for the estimation and prevention of childhood obesity. Conclusion: We propose that this Bioecological Model will help the children and their families further to understand and manage the problem of childhood obesity during this pandemic on their own.

Background: High maternal mortality has always been an area of concern in developing countries. Availability and availment of adequate antenatal care play a significant role in reduction of maternal deaths. Aim & Objective: To know the extent of antenatal care (ANC) services utilization by the currently married women of rural Uttarakhand during their last pregnancy, to find the barriers for utilization of ANC services and correlate the socio-demographic variables with the non-utilization of ANC services. Methods and Material: This correlational study was conducted in rural areas of 3 randomly selected districts in Uttarakhand. Multistage stratified and simple random samplings were used for area selection and PPS technique was used to recruit the participants. Overall, 637 currently married women (CMW) who delivered in last 5 years prior to survey, were interviewed by trained social workers. Chi-square test was used to ascertain association between variables and regression analysis was done to adjust for confounding associations. Results: Overall 496 (77.9%) women availed one or more ANC services during their last pregnancy, but the complete package was availed by only 210 (33%) of the CMW. Majority of the women who did not avail any ANC services were older, illiterate, labourer, spouse of labourer/ unemployed person and belonged to lower socio-economic status. Unawareness was the most commonly cited reason for not availing ANC services followed by financial issues and unfelt need. Conclusions: Women in Uttarakhand are pliant to ANC services, but there is a need to create demand for it by increasing awareness and improving the quality of ANC services.

Background: Menopause has become a popular topic of study as life expectancy rises around the world. The average age at menopause in both developed and developing countries ranges from 45 to 53 years. Factors influencing the extent of ovarian follicle reserve dwindling, such as sociodemographic, menstrual, reproductive, and dietary factors. Aim and Objective: The present study aimed to determine the mean age of menopause and to find out the various factors affecting menopause onset. Methods: A community based cross-sectional study conducted in rural and urban areas of District Dehradun for a period of 1 year starting 1st August 2020 to 31st July 2021. Data were collected using multistage stratified random sampling from 211 cases of natural menopause. Chi-square was applied as statistical test of significance and p < 0.05 was considered statistically significant. Results: According to current study, average age menopausal age is 46 years. Variables like sociodemographic characteristics, lifestyle habits, reproductive and menstrual factors were found to have a significant relationship with onset of menopause. Conclusion: Menopause, whether it occurs early or late in life, several factors are responsible for deciding its onset. As a result, it is critical to identify the factors influencing the onset of menopause.