Stable isotope compositions of present day precipitation in the 70°E–160°W longitude range reveal a strong correlation with moisture source and transport patterns and are not correlated with the amount of precipitation, contrary to existing interpretations. Spatially and temporally variable moisture sources and cyclonic circulation result in more depleted isotope values (δ¹⁸O ∼ −5 to −7‰) in the 100°E–170°E range. Oceanic moisture with minimal continental loss or input results in comparatively enriched δ¹⁸O values (∼−2 to −4‰) in the 70°E–100°E range and east of 170°E. Isotope compositions of dated groundwater archives from the Philippines, Vietnam, Thailand and Bangladesh, reflecting past isotopic composition of precipitation, indicate that this distinction in moisture regimes was preserved during the last glacial period and strongly suggest that there was no significant shift in the summer Inter‐Tropical Convergence Zone (ITCZ) in this region.

Modified BG Prasad socioeconomic scale has been in use for determining the socio-economic status of study subjects in community-based health studies in India since 1961.It is an income-based scale and, therefore, constant update is required to take inflation and depreciation of rupee into account. For industrial workers (IW), the consumer price index (CPI) is used to calculate updated income categories at any given point of time, viz Jan 2019. These details of the calculations involved will help many researchers to calculate specific income categories for their ongoing and prospective research work in current calendar year. On the Department of Labour website (www.labourbureaunew.gov.in), state-specific CPI values are also available and should be used to determine more accurate income categories.

Modified BG Prasad socioeconomic scale has been in use for determining the socio-economic status of study subjects in community-based health studies in India since 1961.It is an income-based scale and, therefore, constant update is required to take inflation and depreciation of rupee into account. For industrial workers (IW), the consumer price index (CPI) is used to calculate updated income categories at any given point of time, viz Jan 2018.These details of the calculations involved will help many researchers to calculate specific income categories for their ongoing and prospective research work in current calendar year. On the Department of Labour website (www.labourbureaunew.gov.in), state-specific CPI values are also available and should be used to determine more accurate income categories.The current exercise is a step towards increasing the validity of use of classification with relevance to the current price levels and enabling a real time update for a considerable time in the near future.The health behavior of an individual or a community is interdependent on their socio-economic status. The concept of socio-economic status is widely used in medical sociology. The social standing of an individual or a family in the society can be measured by it. Therefore, is an important factor affecting the health condition of an individual or a family. (1)Socio-economic status has been defined as “The position that an individual or family occupies with reference to the prevailing average standards of cultural and material possessions, income and participation in group activity of the community”. The social status may be inherited, but in modern society it is achieved on the basis of occupation, income, type of housing and neighborhood, membership of the certain associations and organizations, material, possessions, etc. (2)In India, several methods or scales have been developed for classifying different populations based on their socio-economic status, viz. Parikh scale 1964, Shirpurkar scale 1967, Jalota scale 1970, Kulsherestha scale 1972, Srivastava scale 1978, Bharadwaj scale 2001. (3-8)Modified BG Prasad’s classification that is used for both urban and rural areas. Modified Kuppuswamy classification is used in urban and peri urban areas which considers the education of the head of family, occupation of head of the family and per capita monthly income.(9,10) Another classification for rural areas is Uday Pareekh classification which takes into account following characteristics namely caste

Overweight and obesity are a public health problem in India not only in adults but also in children. The authors sought to estimate the prevalence of overweight and obesity in school-going children of 6–17 years of age and examine its demographic and dietary correlates in context of their urban-rural status and socio-economic status. In this cross-sectional survey height and weight were measured in 1266 school children in government and private schools of urban and rural areas. Dietary assessment was done using single day 24-hour dietary recall method. The data were analyzed using SPSS (IBM SPSS Statistics Version 19) and WHO AnthroPlus Software. Factorial ANOVA was used for testing interaction within and between subgroups for continuous variables and Chi-square test was used for categorical variables. It was found that the overall prevalence of overweight was 15.6% of which 5.4% were obese, with maximum prevalence in boys attending urban private schools. The mean caloric intake in the study population with 24-hour dietary recall method was 1558.2 kilocalories (SD: 428 kilocalories). Overweight and obesity is a significant problem in school-going children. Higher socio-economic status continues to remain an important driver of this epidemic in the younger generation and affects demographic and dietary determinants of this problem.

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 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 understand and manage the problem of childhood obesity during this pandemic on their own.

During a large-scale disease outbreak, one needs to respond to the situation quickly towards capacity building, by identifying areas that require training and planning a workable strategy and implementing it. There are limited studies focused on fast-track workforce creation under challenging circumstances that demand mandatory social distancing and discouragement of gatherings. This study was conducted to analyze the planning process and implementation of fast-track training during the Coronavirus disease (COVID-19) pandemic, and evaluate its effectiveness in building a rapid, skilled, and massive workforce. A cross-sectional study was conducted to evaluate rapid preparedness training delivered from March to June 2020, based on documents and data regarding the process, planning, and implementation for large-scale capacity building. Pre-test and post-test scores were compared to assess the effectiveness of training. The number of personnel trained was evaluated to determine the efficiency of the training program. Data on COVID-19 among health care workers (HCWs) were analyzed. The Advanced Center of Continuous Professional Development acted as the central facility, quickly responding to the situation. A total of 327 training sessions were conducted, including 76 online sessions with 153 instructors. The capacity-building of 2,706 individuals (913 clinicians and 1,793 nurses, paramedics, and non-medical staff) was achieved through multiple parallel sessions on general precautionary measures and specialized skills within four months. The rate of hospital staff infected with COVID-19 was found to be 0.01% over five months. A fast-track, efficient, large-scale workforce can be created through a central facility even under challenging circumstances which restrict gatherings and require physical distancing. A training action plan for disease outbreaks would be a useful resource to tackle such medical emergencies affecting substantial populations in future.