Urban-Rural Differences in the Prevalence of Diabetes Among Adults in Haryana, India: The ICMR-INDIAB Study (ICMR-INDIAB-18).

INTRODUCTION: Diabetes is a multifactorial disease with far-reaching consequences. Environmental factors, such as urban or rural residence, influence its prevalence and associated comorbidities. Haryana-a north Indian state-has undergone rapid urbanisation, and part of it is included in the National Capital Region (NCR). The primary aim of the study is to estimate the prevalence of diabetes in Haryana with urban-rural, NCR and non-NCR regional stratification and assess the factors affecting the likelihood of having diabetes among adults. METHODS: This sub-group analysis of the Indian Council of Medical Research-India Diabetes (ICMR-INDIAB) study (a nationally representative cross-sectional population-based survey) was done for Haryana using data from 3722 participants. The dependent variable was diabetes, while residence in NCR/non-NCR and urban-rural areas were prime independent variables. Weighted prevalence was estimated using state-specific sampling weights and standardized using National Family Health Survey-5 (NFHS-5) study weights. Associations were depicted using bivariate analysis, and factors describing the likelihood of living with diabetes were explored using a multivariable binary logistic regression analysis approach. RESULTS: Overall, the weighted prevalence of diabetes in Haryana was higher than the national average (12.4% vs. 11.4%). The prevalence was higher in urban (17.9%) than in rural areas (9.5%). The prevalence of diabetes in rural areas was higher in the NCR region, while that of prediabetes was higher in rural non-NCR region. Urban-rural participants' anthropometric measurements and biochemical profiles depicted non-significant differences. Urban-rural status, age and physical activity levels were the most significant factors that affected the likelihood of living with diabetes. CONCLUSIONS: The current analysis provides robust prevalence estimates highlighting the urban-rural disparities. Urban areas continue to have a high prevalence of diabetes and prediabetes; rural areas depict a much higher prevalence of prediabetes than diabetes. With the economic transition rapidly bridging the gap between urban and rural populations, health policymakers should plan efficient strategies to tackle the diabetes epidemic.

Alarming levels of inadequate intake of B group vitamins in tribal lactating women from South India.

Background: Micronutrients are necessary for proper growth and development of the human body, though required in small amounts. Dietary intake of these micronutrients by lactating women is essential for their own health as well as children's overall growth and development. objective of present study is to assess the adequacy of dietary B-group vitamins intake during lactation and to find out the factors associated with their inadequate intake. Design and methods: It was a analysis of data from prospective cohort study for 10 months carried out among 340 Scheduled Tribes mothers in 10 clusters in Guntur district, Andhra Pradesh, India. Data collection was done using a 24 h dietary recall questionnaire. A p-value less than 0.05 was considered to be statistically significant. Results: All the mothers (n = 340) were not having adequate intake of Thiamine, Riboflavin, Niacin, Pyridoxine, Pantothenic acid, Biotin and Folic acid. Methyl cobalamin intake was inadequate in 37.5% mothers (n = 136). The mean intake of Vitamin B12 was 40.98 + 42.8 (SD) µg/day. Age at marriage, location and parity were significantly associated with inadequate intake of Vitamin B12. Conclusions: The current diet pattern of mothers of vulnerable groups might affect the growth and development of the infant. We strongly recommend for supplementation of B-group vitamins to pregnant and lactating women in India.

Indian Model of Integrated Healthcare (IMIH): a conceptual framework for a coordinated referral system in resource-constrained settings.

INTRODUCTION: With the escalating burden of chronic disease and multimorbidity in India, owing to its ageing population and overwhelming health needs, the Indian Health care delivery System (HDS) is under constant pressure due to rising public expectations and ambitious new health goals. The three tired HDS should work in coherence to ensure continuity of care, which needs a coordinated referral system. This calls for optimising health care through Integrated care (IC). The existing IC models have been primarily developed and adopted in High-Income Countries. The present study attempts to review the applicability of existing IC models and frame a customised model for resource-constrained settings. METHODS: A two-stage methodology was used. Firstly, a narrative literature review was done to identify gaps in existing IC models, as per the World Health Organization framework approach. The literature search was done from electronic journal article databases, and relevant literature that reported conceptual and theoretical concepts of IC. Secondly, we conceptualised an IC concept according to India's existing HDS, validated by multiple rounds of brainstorming among co-authors. Further senior co-authors independently reviewed the conceptualised IC model as per national relevance. RESULTS: Existing IC models were categorised as individual, group and disease-specific, and population-based models. The limitations of having prolonged delivery time, focusing only on chronic diseases and being economically expensive to implement, along with requirement of completely restructuring and reorganising the existing HDS makes the adoption of existing IC models not feasible for India. The Indian Model of Integrated Healthcare (IMIH) model proposes three levels of integration: Macro, Meso, and Micro levels, using the existing HDS. The core components include a Central Gateway Control Room, using existing digital platforms at macro levels, a bucket overflow model at the meso level, a Triple-layered Concentric Circle outpatient department (OPD) design, and a three-door OPD concept at the micro level. CONCLUSION: IMIH offers features that consider resource constraints and local context of LMICs while being economically viable. It envisages a step toward UHC by optimising existing resources and ensuring a continuum of care. However, health being a state subject, various socio-political and legal/administrative issues warrant further discussion before implementation.

Prevalence of Undernutrition Among Tribal Lactating Mothers in Andhra Pradesh, India.

Background In Andhra Pradesh, India, tribal communities face unique nutritional challenges due to limited access to healthcare and a predominantly plant-based diet. Maternal undernutrition is a significant concern, impacting the well-being of both mothers and their offspring. This study focuses on assessing the prevalence of undernutrition among tribal mothers in Andhra Pradesh using the BMI-for-age criterion. Objectives The aim of this study was to comprehensively evaluate the prevalence of undernutrition among tribal mothers, explore associations with demographic factors, and assess the impact of a nutritional intervention program. The ultimate goal was to contribute to targeted interventions and policies for improving the health and well-being of these communities. Materials and methods A cohort study was conducted in the Guntur district of Andhra Pradesh, involving 340 lactating mothers and their infants. Data collection and anthropometric measurements were performed. Results The study found that 67 (19.71%) of tribal mothers were underweight at baseline. There were statistically significant associations with the Yenadi tribe, low educational status of the mother, and history of lower segment Caesarean section with a high prevalence of being underweight. No significant associations with age, occupation, or socioeconomic status were observed. Undernutrition was more common among mothers with older children and was associated with specific obstetric factors. Conclusion While the prevalence of undernutrition is lower than in some previous studies, it remains a critical concern, particularly within disadvantaged communities. These undernourished mothers face health risks, including anemia. Urgent policy interventions and nutritional programs are needed to address this issue and enhance the well-being of tribal communities in Andhra Pradesh.

Factors associated with unexplained sudden deaths among adults aged 18-45 years in India - A multicentric matched case-control study.

BACKGROUND OBJECTIVES: In view of anecdotal reports of sudden unexplained deaths in India's apparently healthy young adults, linking to coronavirus disease 2019 (COVID-19) infection or vaccination, we determined the factors associated with such deaths in individuals aged 18-45 years through a multicentric matched case-control study. METHODS: This study was conducted through participation of 47 tertiary care hospitals across India. Cases were apparently healthy individuals aged 18-45 years without any known co-morbidity, who suddenly (<24 h of hospitalization or seen apparently healthy 24 h before death) died of unexplained causes during 1 st October 2021-31 st March 2023. Four controls were included per case matched for age, gender and neighborhood. We interviewed/perused records to collect data on COVID-19 vaccination/infection and post-COVID-19 conditions, family history of sudden death, smoking, recreational drug use, alcohol frequency and binge drinking and vigorous-intensity physical activity two days before death/interviews. We developed regression models considering COVID-19 vaccination ≤42 days before outcome, any vaccine received anytime and vaccine doses to compute an adjusted matched odds ratio (aOR) with 95 per cent confidence interval (CI). RESULTS: Seven hundred twenty nine cases and 2916 controls were included in the analysis. Receipt of at least one dose of COVID-19 vaccine lowered the odds [aOR (95% CI)] for unexplained sudden death [0.58 (0.37, 0.92)], whereas past COVID-19 hospitalization [3.8 (1.36, 10.61)], family history of sudden death [2.53 (1.52, 4.21)], binge drinking 48 h before death/interview [5.29 (2.57, 10.89)], use of recreational drug/substance [2.92 (1.1, 7.71)] and performing vigorous-intensity physical activity 48 h before death/interview [3.7 (1.36, 10.05)] were positively associated. Two doses lowered the odds of unexplained sudden death [0.51 (0.28, 0.91)], whereas single dose did not. INTERPRETATION CONCLUSIONS: COVID-19 vaccination did not increase the risk of unexplained sudden death among young adults in India. Past COVID-19 hospitalization, family history of sudden death and certain lifestyle behaviors increased the likelihood of unexplained sudden death.

Mapping the stability of febrile illness hotspots in Punjab from 2012 to 2019- a spatial clustering and regression analysis.

INTRODUCTION: Febrile illnesses (FI) represent a typical spectrum of diseases in low-resource settings, either in isolation or with other common symptoms. They contribute substantially to morbidity and mortality in India. The primary objective was to study the burden of FI based on Integrated Disease Surveillance Programme (IDSP) data in Punjab, analyze geospatial and temporal trends and patterns, and identify the potential hotspots for effective intervention. METHODS: A retrospective ecological study used the district-level IDSP reports between 2012 and 2019. Diseases responsible for FI on a large scale, like Dengue, Chikungunya, Malaria (Plasmodium Falciparum, P. Vivax), Enteric fever, and Pyrexia of Unknown Origin (PUO), were included in the analysis. The digital map of Punjab was obtained from GitHub. Spatial autocorrelation and cluster analysis were done using Moran's I and Getis-Ord G* to determine hotspots of FI using the incidence and crude disease numbers reported under IDSP. Further, negative binomial regression was used to determine the association between Spatio-temporal and population variables per the census 2011. Stable hotspots were depicted using heat maps generated from district-wise yearly data. RESULTS: PUO was the highest reported FI. We observed a rising trend in the incidence of Dengue, Chikungunya, and Enteric fever, which depicted occasional spikes during the study period. FI expressed significant inter-district variations and clustering during the start of the study period, with more dispersion in the latter part of the study period. P.Vivax malaria depicted stable hotspots in southern districts of Punjab. In contrast, P. Falciparum malaria, Chikungunya, and PUO expressed no spatial patterns. Enteric Fever incidence was high in central and northeastern districts but depicted no stable spatial patterns. Certain districts were common incidence hotspots for multiple diseases. The number of cases in each district has shown over-dispersion for each disease and has little dependence on population, gender, or residence as per regression analysis. CONCLUSIONS: The study demonstrates that information obtained through IDSP can describe the spatial epidemiology of FI at crude spatial scales and drive concerted efforts against FI by identifying actionable points.

Psychometric Properties of the Hindi Version of the World Health Organization Quality of Life Questionnaire-Older Adults (WHOQOL-OLD) Module in Dehradun, India.

BACKGROUND: The perception of quality of life (QOL) is a subjective concept; however, attempts have been made to discern the key points and to give a metric view of this concept. The World Health Organization Quality of Life Questionnaire-Older Adults (WHOQOL-OLD) module is an international and cross-cultural tool that quantifies the QOL in older adults. OBJECTIVES: This study aimed to assess the psychometric properties of the Hindi version of the WHOQOL-OLD module by calculating its reliability and validity among the elderly residing in the Dehradun district of India. METHODOLOGY: This cross-sectional study was conducted among 440 elderlies from the rural and urban areas of Dehradun by using the Hindi version of the WHOQOL-OLD questionnaire. The mean and standard deviations were calculated for QOL scores. Reliability was checked by calculating Cronbach's alpha (α), and factor analysis was done for the validity of the questionnaire. RESULTS: Mean (±SD) for total QOL score was 54.3 (±9.3). The death and dying facet had the maximum mean score, whereas the minimum mean score was calculated in the autonomy facet. Cronbach's alpha reliability coefficient for the overall QOL score was calculated as 0.86 which shows good internal consistency of the items in the questionnaire. To measure the construct validity, exploratory factor analysis (EFA) by principal components analysis (PCA) was performed on the 24 items of the WHOQOL-OLD module, and a six-factor model was identified. Satisfactory goodness-of-fit statistics were found on the confirmatory factor analysis (CFA). CONCLUSION: QOL is a multidimensional concept. The Hindi version of the WHOQOL-OLD module is reliable and valid. QOL in the elderly population can be measured by using the WHOQOL-OLD module in India.

Risk of secondhand smoke exposure and severity of COVID-19 infection: multicenter case-control study.

Introduction: Exposure to secondhand smoke (SHS) is an established causal risk factor for cardiovascular disease (CVD) and chronic lung disease. Numerous studies have evaluated the role of tobacco in COVID-19 infection, severity, and mortality but missed the opportunity to assess the role of SHS. Therefore, this study was conducted to determine whether SHS is an independent risk factor for COVID-19 infection, severity, mortality, and other co-morbidities. Methodology: Multicentric case-control study was conducted across six states in India. Severe COVID-19 patients were chosen as our study cases, and mild and moderate COVID-19 as control were evaluated for exposure to SHS. The sample size was calculated using Epi-info version 7. A neighborhood-matching technique was utilized to address ecological variability and enhance comparability between cases and controls, considering age and sex as additional matching criteria. The binary logistic regression model was used to measure the association, and the results were presented using an adjusted odds ratio. The data were analyzed using SPSS version 24 (SPSS Inc., Chicago, IL, USA). Results: A total of 672 cases of severe COVID-19 and 681 controls of mild and moderate COVID-19 were recruited in this study. The adjusted odds ratio (AOR) for SHS exposure at home was 3.03 (CI 95%: 2.29-4.02) compared to mild/moderate COVID-19, while SHS exposure at the workplace had odds of 2.19 (CI 95%: 1.43-3.35). Other factors significantly related to the severity of COVID-19 were a history of COVID-19 vaccination before illness, body mass index (BMI), and attached kitchen at home. Discussion: The results of this study suggest that cumulative exposure to secondhand cigarette smoke is an independent risk factor for severe COVID-19 illness. More studies with the use of biomarkers and quantification of SHS exposure in the future are needed.

Childhood Obesity and Essential Micronutrients: Insights from India's Comprehensive National Nutrition Survey (2016-18).

INTRODUCTION: Based on the long-term impact of childhood obesity, there is a compelling need to assess the burden of obesity and micronutrient deficiency and the interactions between the two. Thus, the aims of the study were to estimate the prevalence of overweight and obese children and adolescents to compare micro-nutrient levels in these children with normal and underweight categories and explore the factors affecting overweight and obesity in the presence of micronutrient deficiencies. METHODS: Secondary data analysis of the Comprehensive National Nutrition Survey-India (2017-2018) was done. The survey recorded information from 112,245 preschool children (6-60 months), school age children (5-9 years), and adolescents (10-19 years). Half of these participants were invited for biochemical testing and were included in our analysis. The presence of overweight or obesity and micronutrient (serum erythrocyte folate; vitamin B12, A, and D; ferritin; zinc; and urinary iodine) deficiencies were the primary outcomes. The secondary outcome included the mean serum levels and predictors of overweight and obesity in the presence of micronutrient deficiencies. RESULTS: Of the 38,060, 38,355, and 35,830 preschool, school-age, and adolescent study participants, about 2.69, 4.18, and 4.99% were overweight or obese. We observed significant variations in the mean folate and vitamin B12 levels among the overweight and obese preschool and school-age children compared to the normal weight group. School-age children exhibited significant differences in all micronutrient levels. In contrast, adolescents only showed substantial differences in vitamin D and A and serum ferritin levels. The predictors of overweight and obesity included geographical locations, wealth quintiles, and societal castes. Iron, folate, vitamin D, and zinc levels significantly affect the odds of developing childhood overweight and obesity. CONCLUSIONS: It is vital to halt the growing burden of childhood overweight and obesity. Addressing micronutrient deficiencies can help us bring a sustainable and feasible approach to managing this menace.

Comprehensive coordinated community based palliative care (C3PaC) model for cancer patients in North India: a mixed-method implementation research study protocol.

BACKGROUND: Cancer remains an escalating and challenging public health issue. The management, especially palliative care (PC), is disintegrated and out of reach of in need patients. The overall aim of the project is to develop a feasible and scalable Comprehensive Coordinated Community based PC model for Cancer Patients (C3PaC); congruent with socio-cultural, context and unmet needs in north India. METHODS: A mixed method approach will be used for three-phased pre- and post-intervention study in one of the districts of North India, having a high incidence of cancer. During phase I, validated tools will be used for quantitative assessment of palliative needs among cancer patients and their caregivers. Barriers and challenges for provision of palliative care will be explored using in-depth interviews and focus group discussions among participants and health care workers. The findings of phase I along with inputs from national experts and literature review will provide inputs for the development of the C3PAC model in phase II. During phase III C3PAC model will be deployed over a period of 12 months and its impact assessed. Categorical and continuous variables will be depicted as frequency (percentages) and mean ± SD/median (IQR) respectively. Chi-square test/Fischer test, independent samples Student t-tests and Mann-Whitney U tests will be used for categorical, normally and non-normally distributed continuous variables, respectively. Qualitative data will be analyzed using thematic analysis using Atlas.ti 8 software. DISCUSSION: The proposed model is designed to address the unmet palliative care needs, to empower community-based healthcare providers in comprehensive home-based PC and to improve the quality of life of cancer patients and caregivers. This model will provide pragmatic scalable solutions in comparable health systems particularly in low- and lower-middle Income countries. TRIAL REGISTRATION: The study has been registered with the Clinical Trial Registry-India (CTRI/2023/04/051357).

India's Multi-Sectoral Response to Oxygen Surge Demand during COVID-19 Pandemic: A Scoping Review.

Oxygen support became one of the rate-limiting steps for medical care during COVID-19 pandemic in India. The primary aim of this study was to appraise the manufacturing, supply, and distribution of medical oxygen during the pandemic. The secondary objectives were to highlight the coordination of various stakeholders to mitigate the oxygen surge and to present a critical analysis of India's response to the emergent situation. Using an analytic approach, we have delineated India's response to mitigate the medical oxygen surge during the distressing second peak between March-May 2021. In the pre-COVID-19 era, of the total 6900 MT of oxygen produced in India, only 1000 MT was available for medical usage, which was increased up to 19940 MT through the strengthening of in-house oxygen manufacturing, low-cost innovations, and enhanced storage facilities. High-burden states were identified, and transport was facilitated through departments of railways, defence and civil aviation. Real-time scrutiny of the oxygen supply was provided. Essential customs duties on importing oxygen and vital equipment were exempted, along with other swift decisions. National Oxygen Stewardship Program' was initiated to build the capacity of health care workers in oxygen therapy and rational use of surplus oxygen. The pandemic overwhelmed the health system. But a coordinated multi-stakeholder approach facilitated the fight against oxygen surge. However, a comprehensive pandemic response will need more than just oxygen. This resourceful utilization offers a silver lining and facilitates the improvement of health systems and health outcomes in the long term.

Population-Based Detection of Cancer Cases Using Digital Platforms in Mangalagiri Mandal of Guntur District, Andhra Pradesh.

Background and objectives Cancer is one of the major causes of illness and mortality in India. The cancer burden in India will roughly triple over the next 20 years. Population-based cancer registries (PBCRs) are crucial not only for formulating cancer control policies and assessing their effectiveness but also offer essential inputs for programs aimed at preventing cancer. The state of Andhra Pradesh after the division in 2014 has been left with no PBCR. Hence, with the aim to pilot the development of a population-based cohort of cancer cases with digital reporting and monitoring mechanisms, this study was carried out with the objective of finding the prevalence and incidence of various types of cancer in Mangalagiri Mandal, Guntur district, Andhra Pradesh. Materials and methods A cross-sectional survey during the period January 2021 to June 2022 was conducted to actively search for cancer cases among 160303 people residing in 42639 households in the Mangalagiri Mandal, Guntur district, State of Andhra Pradesh, India. The respondents were asked if anyone in the household had cancer and the location was mapped, the information was recorded by the Accredited Social Health Activist (ASHA) workers in the pre-tested questionnaire. The total number of cancer cases identified was 107. Results Mangalagiri Mandal had 24 cases of cancer among men and 83 cases of cancer among women as recorded during the study period. Most of the male (37.5%) and female (31.3%) cancer cases were in Stage 2 of cancer and the majority of them (91.6%, 94%) had completed their treatment and were on regular follow-up. The most common cancer among both sexes was breast cancer (5.45 per million population). Oral cancer was the most prevalent in men (0.747 per million of the population) whereas, breast cancer (4.253 per million population) was the most prevalent among females. A total of 47.1% of the males had cancer at sites that were related to tobacco usage. Conclusion The data on cancer incidence and prevalence along with the socio-demographic profile is essential to know the burden of cancer. This baseline data can be used in planning cancer control activities and knowing the future trend of cancer in the Mangalagiri Mandal, in the new state of Andhra Pradesh.

Exploring the influence of food labels and advertisements on eating habits of children: a cross-sectional study from Punjab, India.

BACKGROUND: Maintaining healthy eating habits among children is challenging due to industrial tactics. There is little research on the effect of nutritional labels and tv ads on the eating habits of children. So the primary aim of the study was to explore the noticeability of the food packaging labels by the children, the information retrieved from the food nutrition labels, and their role in increased frequency of eating out in addition to the perceptions of their parents about the television ads. METHODS: A cross-sectional study was conducted at schools in Punjab, India. Using multi-stage stratified random sampling, we included 722 school-going children aged 14-18 and their parents. A structured predefined questionnaire collected data using a four-point Likert scale. Descriptive statistics and binary logistic regression were used to draw our inferences. RESULTS: About 46% of children were eating out > 3 times a week. Nearly 49% said they never looked at the expiry dates on the food packet, and 40% have yet to notice the quality certification. Nearly half do not understand the components of the food label, and 59% said they never changed their buying behavior because of the label. Only 37% of parents expressed their concerns about the timing of the ads when children watch television, while only 25.5% were concerned about the accuracy of the information. Concerns of the parents regarding the timing of the ads, and celebrity endorsements, were potential predictors for the increased frequency of eating out by the children. CONCLUSIONS: Low awareness regarding the utility of nutrition labels and minimal concerns of the parents increase the frequency of eating out. Unification of our existing policies regarding food labels and tv advertisements to develop family-centric interventions will bring us one step closer to improving the enabling environment to curb the growing menace of childhood obesity.

Spatial Patterns and Determinants of Diabetes Mellitus in Indian Adult Population: a Secondary Data Analysis from Nationally Representative Surveys.

INTRODUCTION: Diabetes mellitus (DM) is a major public health challenge around the world. It is crucial to understand the geographic distribution of the disease in order to pinpoint high-priority locations and focus intervention on the target populations. Hence, this study was carried out to determine the spatial pattern and determinants of type-2 DM in an Indian population using National Family Health Survey-4 (NFHS-4) and Longitudinal Aging Survey in India (LASI). METHODS: We have adopted an ecological approach, wherein geospatial analysis was performed using aggregated district-level data from NFHS-4 (613 districts) and LASI survey datasets (632 districts). Moran's I statistic was determined and Local Indicators of Spatial Association (LISA) maps were created to understand the spatial clustering pattern of DM. Spatial regression models were run to determine the spatial factors associated with DM. RESULTS: Prevalence of self-reported DM among males (15-50 years) and females (15-49 years) was 2.1% [95% confidence interval (CI) 2.0-2.3%] and 1.7% (95% CI 1.6-1.8%), respectively. Prevalence of self-reported DM among males and females aged 45 years and above was 12.5% (95% CI 11.5-13.5%) and 10.9% (95% CI 9.8-12%). Positive spatial autocorrelation with significant Moran's I was found for both males and females in both NFHS-4 and LASI data. High-prevalence clustering (hotspots) was maximum among the districts belonging to southern states such as Kerala, Tamil Nadu, Karnataka, and Andhra Pradesh. Northern and central states like Madhya Pradesh, Chhattisgarh, and Haryana mostly had clustering of cold spots (i.e., lower prevalence clustered in the neighboring regions). CONCLUSION: DM burden in India is spatially clustered. Southern states had the highest level of spatial clustering. Targeted interventions with intersectoral coordination are necessary across the geographically clustered hotspots of DM.

Mysterious Outbreak of Acute Neurological Syndrome in Eluru, Andhra Pradesh, India: A Post-outbreak Geo-Spatial Analysis.

BACKGROUND: An outbreak characterized by sudden-onset seizures, loss of consciousness, and complete recovery within a few hours was reported from Eluru town in Andhra Pradesh on December 6, 2020. This study was conducted to assess the environmental correlates of the outbreak using geo-mapping tools. METHODS: A post-outbreak survey was conducted among affected cases in January-February, 2021. A house-to-house survey tool collected information on demographics, clinical profile, and environmental and psychological aspects (Impact of Event Scale). Geo-mapping and news media content analyses were done using QGIS and Atlas.ti software, respectively. RESULTS: A total of 394 cases were studied. The median (interquartile range [IQR]) age of the participants was 27 (17-39) years and comprised mostly male students. There was no clustering of cases within 48 hours of illness onset in the spatial analysis. Loss of consciousness was the first (50.7%) and the most common symptom. All cases were taken to a health facility and were discharged after a median duration of 48 minutes. COVID-19-related and environmental practices were not associated with the clinical manifestations. Awareness about pesticides was low. The outbreak reportedly had a psychological impact on 24.4% of the participants. The most common co-occurring themes in the news media analysis were water contamination and pesticides. CONCLUSION: The geo-spatial analysis did not find case clustering or points of convergence during the incubation period. The geo-locations did not distribute around water bodies or suspected landmarks although news media projected water contamination and pesticides as probable causes of the outbreak.

Exploring Unknown Predictors of Maternal Anemia Among Tribal Lactating Mothers, Andhra Pradesh, India: A Prospective Cohort Study.

Introduction: Anemia is a serious public health issue in India, especially among women, adolescent girls, and young children. Tribal people reside mostly in remote underserved regions with little or no basic civic amenities which makes them a highly vulnerable group of Indians. The study aimed to identify unknown risk factors for anemia among tribal lactating mothers. Methodology: It was a mixed method prospective cohort study for 10 months carried out among 340 scheduled tribes (ST) mothers in 10 clusters in Guntur district, Andhra Pradesh, India. Data collection using a questionnaire, 24 hours dietary recall, anthropometric measurement, and hemoglobin estimation was done. Weekly local recipe talk in the mother's kitchen, informal group discussions, was conducted for 12 weeks after baseline data collection. The audio and video tapes of the weekly local recipe talk in the mothers kitchen were transcribed verbatim and then translated into English. The individual responses were grouped as barriers related to acceptability, availability, accessibility, use and utilization, appropriateness, and nutrition environment. Results: A total of 340 mothers were enrolled initially of which 315 mothers were studied in an end-line survey with an attrition rate of 7.3%. Over 80% mothers belonged to Yerukula, Yenadis, Lambadi/Sugali tribes, respectively. A total of 345 weekly local mother kitchen recipe talks were conducted in 10 clusters. In the present study, only few mothers mentioned food accessibility and availability issues. Surprisingly, lack of skill to cook the commonly consumed local food item among Indian mothers were recorded. Lack of time for cooking, lack of knowledge of nutritious benefits of food, and use of ready to eat food were other important key findings. Conclusion: The study documents initiation of transition of the tribal lactating mothers towards urbanization. The lack of knowledge of cooking, coupled with lifestyles of urban areas exposes the early aged, poor, low literate mothers to the trap of anemia.

New normal of academic virtual conference: Imperative during pandemic.

In COVID pandemic, attending the continuing medical education, workshops, and conferences with physical attendance is not possible. We designed, developed, and hosted the first of its kind academic virtual/online conference at par with an in-person academic conference to disseminate the expertise of the renowned subject experts along with researchers to present their research work due to the ongoing pandemic. We, in this article, had summarized the most critical steps in order to make the process easier for first-timers while providing our more comprehensive walkthroughs on each step. We choose a live session of the speakers on the Zoom meeting mode to retain the atmosphere of a live conference. WhatsApp, Google (Google Meet and E-mail), and Kahoot were other platforms to communicate with speakers, researchers, and participants to seamlessly participate. A number of advantages in terms of protection for delegates/speakers and their families came from the Virtual Conference on Nutrition and Health, restricting the spread of COVID-19, low budget for organizers, economically much cheaper alternatives both for speakers and participants, dissemination of knowledge, time productive, and meeting research paper presentation eligibility for a professional course. When one is new to technology, try adding an innovative aspect as a starting point to future virtual and in-person events, and seeing how it works is imperative. Ensuring Internet bandwidth, updated hardware, or webcam and/or microphone functionality at the participant end is critical.

Prevalence and Determinants of Sarcopenic Obesity in Older Adults: Secondary Data Analysis of the Longitudinal Ageing Study in India (LASI) Wave 1 Survey (2017-18).

INTRODUCTION: Sarcopenic obesity (SO) represents the confluence of two epidemics-an aging population and an increasing rate of obesity. The two diseases may act synergistically, and SO may significantly affect morbidity and mortality. However, the burden is not defined to drive the policy changes. Hence the present study was done to estimate the prevalence and predictors of SO in India. METHODS: We did a secondary data analysis of the 72,250 older adults who participated in the first wave of the Longitudinal Aging Study in India (2017-18). Possible sarcopenia was defined as per the guidelines by the Asian Working Group for Sarcopenia (AWGS) criteria. The modified criterion of overweight and obesity for Asian adults was used to categorize obesity. Presence of both sarcopenia and obesity depicted SO. Weighted analysis was done to estimate the prevalence of SO, and multinomial bivariate logistics regression was used to identify the predictors of SO. RESULTS: The overall prevalence of obesity, sarcopenia, and SO was 27.1%, 41.9%, and 8.7%, respectively. The mean age, weight, body mass index (BMI), and blood pressure of adults with SO were significantly higher compared to others. Higher age, urban residence, west and south regions of India, consumption of tobacco or alcohol, no physical activity, and presence of diabetes contribute to SO. CONCLUSION: The burden of SO seems to be less but amounts to a massive number in an aging country. We stress increased screening of the geriatric age group and advocate increased physical activity and dietary modifications to realize the concept of healthy aging.