Effect of health promotion interventions on small portion size consumption behavior among college students.

Background: Large food portion size is contributing toward overweight and obesity rates and has been found directly proportional to increase in portion size. Objectives: The study was done to see the effect of health promotion intervention on small portion size consumption behavior using multitheory model (MTM). Materials and Methods: A quasi-experimental study was conducted among students of age groups 18 - 21 years in two different colleges from North India between 2019 to 2020. About 150 participants in the intervention group as well as control group were selected and health promotion intervention in the form of motivational group counseling, one-to-one counseling, Power Point presentations, lectures, and messages were given to participants in intervention group. Difference in difference of proportions for meal consumption behavior and the difference in the difference of means for body mass index, waist-hip ratio and for constructs of MTM for portion size consumption behavior were calculated. Paired t-test was used to test the significance between the continuous variables. Results: There was a significant reduction (46% vs. 11%, P < 0.001) in proportion of participants consuming large portion-sized meals in the intervention group as compared to the control group. The mean change in constructs (participatory dialogues,behavioral confidence, change in physical environment, emotional transformation and practice for change) for portion size consumption behavior of participants in the intervention and control groups at base line and end line was found statistically significant. Conclusion: MTM is a useful tool for health promotion and health education to predict the initiation and sustenance of health behavior change.

Interaction between micronutrients and lipid profile in prediabetes and diabetes among school-aged children (5-9 y) in India.

OBJECTIVES: Lipids and micronutrients play a major role in the pathophysiology of diabetes, and several studies have established the association between lipids and diabetes. The aim of this study was to determine the interaction between lipid profile and micronutrient status with different prediabetes and diabetes diagnosis criteria among school-aged children in India. METHODS: The data used in this study was from Comprehensive National Nutritional Survey conducted in India from 2016 to 2018. Glycosylated hemoglobin values and fasting blood glucose were used to classify normal, prediabetes, and diabetes. The interaction analysis between the lipid profile and eight micronutrients was conducted using multiple logistic regression analyses, and the predicted probabilities were determined. RESULTS: Among micronutrients, the highest deficiency was observed for hemoglobin (27%), and in the lipid profile, triacylglycerol was high in 34% of children. The interaction between high total cholesterol and vitamin B12 deficiency showed the highest average probability for prediabetes (66%). The highest average probability for diabetes was observed from the interaction between normal high-density lipoprotein and vitamin A deficiency (3%). CONCLUSION: The interaction between micronutrients and lipids suggests complex multidimensional pathways involving folate, vitamin B12, ferritin, zinc, hemoglobin, and iodine deficiencies. These interactions should be considered when planning diabetes management strategies.

Prevalence of pre-diabetes and diabetes among school-age children and adolescents of India: A brief report.

The prevalence study of pre-diabetes and diabetes among children and adolescents is crucial for early detection and intervention, public health resource allocation and monitoring the trend. The national prevalence of pre-diabetes and diabetes among school-age children was 15.35% and 0.94%, whereas, among adolescents, the prevalence was 16.18% and 0.56%, respectively.

Impact of Community Based Nutrition Intervention in the Prevention and Control of Anaemia Among Reproductive Aged Women of India.

INTRODUCTION: Maternal and child under-nutrition is particularly widespread in low and middle-income nations, increasing the overall disease burden due to poor nutritional status. The aim of this study was to develop nutrition intervention for the prevention and control of anaemia among women of reproductive age. METHODS: Community-based intervention study was conducted among 443 women of reproductive age group (15-49 years) to determine the effectiveness of a 6-month nutrition intervention package. The nutrition intervention was developed by using Precede-Proceed model and the trans-theoretical model of behavior change. Multi-channel communication approach was adopted and nutrition intervention package was provided. Assessment of haemoglobin, red blood cells, platelet, ferritin, folate, vitamin B12, haematocrit test, mean corpuscular volume, mean corpuscular haemoglobin, mean corpuscular haemoglobin concentration, red cell distribution width and total leucocyte count was compared at the baseline and endline after the intervention among the participants. The chi-square test of independence and t-test were performed. RESULTS: The only mean ferritin level shows significant improvement (p < 0.001). A significant decrease (~ 15%, p = 0.027) in anaemia was observed after the intervention. CONCLUSIONS: Improvement in anaemic status of women was observed. National schemes and programs require a more robust strategical implementation like food fortification/bio fortification and behaviour change communication at village level to enhance the availability and accessibility of fortified food.

Hypertension among women in reproductive age in India: Can we predict the risk? An analysis from National Family Health Survey (2015-2016).

Background: Hypertension in women of reproductive age group is of special concern because of the vulnerability of women to pregnancy-induced hypertension apart from socio-cultural vulnerability. Aim: The objective of the study was to identify the predictors for hypertension among Indian women and to develop a risk score which would provide an opportunity for early detection and appropriate action. Material and Methods: This study was based on the data collected in National Family Health Survey in 2015-2016. Women in India of 15-49 years were the study population. Data were analysed using SPSS v17. Logistic regression analysis was carried and expressed as odds ratio with 95% confidence intervals to identify predictors of hypertension. The risk score for hypertension was developed after shrinkage of variables and by using regression coefficients obtained by standard Logistic Regression Model. Results: Among 6,87,230 women between 15 and 49 years, 77,788 (11.3%) were hypertensive. The study results revealed that there was an increasing trend in the prevalence of hypertension (26.5%) with increasing age, and with increasing weight (23.4%). Urban areas (12.3% vs 10.9%), alcoholics (19.2%) and various forms of tobacco users (14.8%) had more prevalence of hypertension. Conclusion: Age, residing in urban area, consuming tobacco products, consumption of alcohol, non-vegetarian diet and overweight, were found to be the significant predictor variables, and were used to develop the Risk Prediction score using logistic regression model.

Diet and lifestyle risk factors associated with young adult hypertensives in India - Analysis of National Family Health Survey IV.

Background: Young adults with hypertension have a higher lifetime risk of cardiovascular diseases. Global evidence suggests a significant role of diet and lifestyle risk factors on hypertension among the young adult (aged 18-39 years) hypertensive population. Aim: The purpose of this study was to look for the association of diet and lifestyle risk factors with young adult hypertensives. Results: This study reports the prevalence of young adult hypertension based on a national representative sample based on the National Family Health Survey (NFHS-4) data and the association of behavioral risk factors with young adult hypertension. The survey adopted a two-stage stratified random sampling. The outcome variable was hypertension, whereas the exposure variables were various diet and lifestyle factors. The prevalence of young adult hypertension in India was 12.4% among men and 8.2% among women. Sikkim had the highest prevalence among both sexes. Lower prevalence was seen in the states of Delhi and Kerala. Marital status, body mass index, eating meat, alcohol intake, and taking coffee or tobacco 30 min before BP measurement were found to be associated factors that put both the sexes at risk of developing hypertension. The wealth index was concluded as a risk factor only in men while the level of education came out to be a risk factor only in females. Conclusion: This study is the first from India which gives a recent estimate of prevalence of young adult hypertension by state and individual level characteristics in addition to national level estimates for India.

Harnessing machine learning models for non-invasive pre-diabetes screening in children and adolescents.

BACKGROUND AND OBJECTIVES: Pre-diabetes has been identified as an intermediate diagnosis and a sign of a relatively high chance of developing diabetes in the future. Diabetes has become one of the most frequent chronic disorders in children and adolescents around the world; therefore, predicting the onset of pre-diabetes allows a person at risk to make efforts to avoid or restrict disease progression. This research aims to create and implement a cross-validated machine learning model that can predict pre-diabetes using non-invasive methods. METHODS: We have analysed the national representative dataset of children and adolescents (5-19 years) to develop a machine learning model for non-invasive pre-diabetes screening. Based on HbA1c levels the data (n = 26,567) was segregated into normal (n = 23,777) and pre-diabetes (n = 2790). We have considered eight features, six hyper-tuned machine learning models and different metrics for model evaluation. The final model was selected based on the area under the receiver operator curve (AUC), Cohen's kappa and cross-validation score. The selected model was integrated into the screening tool for automated pre-diabetes prediction. RESULTS: The XG boost classifier was the best model, including all eight features. The 10-fold cross-validation score was highest for the XG boost model (90.13%) and least for the support vector machine (61.17%). The AUC was highest for RF (0.970), followed by GB (0.968), XGB (0.959), ETC (0.918), DT (0.908), and SVM (0.574) models. The XGB model was used to develop the screening tool. CONCLUSION: We have developed and deployed a machine learning model for automated real-time pre-diabetes screening. The screening tool can be used over computers and can be transformed into software for easy usage. The detection of pre-diabetes in the pediatric age may help avoid its enhancement. Machine learning can also show great competence in determining important features in pre-diabetes.

Comprehensive overview of smartphone applications delivering child nutrition information.

Numerous smartphone-based applications that guide parenting, child nutrition, and child health-related knowledge are available. Here, we reviewed the applications available in the Google Play Store for child nutrition, primarily focused on children aged <5 y. The keywords used in the search were "child nutrition," "child nutrition status assessment," and "parenting." We identified 370 apps from the play store and 33 qualified for the review. Among 33 apps, 3 were not updated in the last 3 mo, and 19 did not mention their source of information. Four apps did not require the child's name, date of birth, and sex for logging in. Twenty-three apps were available in English only. The output features of the selected apps were food, growth, development and vaccine trackers, data export, reminders, meal planner, feeding tips, list of food, recipes details, information about nutrients, and question/answer session with the expert. Only eight apps provided access to consultation with experts and three suggested nutrient requirements of the child. Three apps scored similarly based on features, although the feature types differed. Findings from this review suggest that the apps do not follow any uniform guidelines for delivering the child nutrition information to the caregivers. About 50% of apps did not mention the consulted source for its development, indicating the unavailability of uniform guidelines or policy documents for child nutrition app development. App-based intervention studies are recommended to assess the effectiveness of child nutrition/health smartphone applications.

Knowledge, Awareness, and Practices among Consumers Regarding Trans-Fat: A Cross-Sectional Study.

Introduction: Processed and preserved food items are the major source of dietary trans fat. Despite various legal provision, public awareness toward trans fats are limited. Objective: To examine the awareness of participants about various aspects of trans fats and improving their knowledge through education. Methods: A cross sectional pre- and posttest survey was conducted online through a webinar. The questionnaire has 11 questions about trans fats. Received responses were coded. Mean and frequency of continuous data were calculated. Chi-square or t-test were used to find the difference in pre and posttest. Results: Eighty five out of 95 participants completed both pre- and posttest. The scores for each question were compared to find out awareness improvement. The question based on FSSAI showed 57% improvement while 50% in case of World Health Organization's REPLACE initiative. The difference of mean score of pretest (7.57 ± 1.8) and posttest (9.22 ± 1.37) was statistically significant. Conclusion: Nutrition education and proper labelling of food items can improve the knowledge about food ingredients and food purchasing patterns. Proper enforcement and monitoring of food items labeling guidelines can be recommended.

Natural History of Diabetic Retinopathy Through Retrospective Analysis in Type 2 Diabetic Patients-An Exploratory Study.

Background and Aims: Diabetic retinopathy is the most common diabetes-associated microvascular complication and is among the leading causes of vision loss or blindness in the adult population. The present study is a retrospective study that reported the natural history of diabetic retinopathy. Methods: Retrospective medical records of 170 patients aged > 20 years with a confirmed complication of diabetic retinopathy were recruited into the present study. A questionnaire was also sent to each subject for gathering their experiences, and verification was done by the attending medical physicians. The questionnaire was answered by all recruited patients. Results: The results showed that 23 (13.5%) subjects have a family history of diabetic retinopathy with 10 (5.9%) having mild NPDR, 63 (37.1%) with moderate NPDR, 60 (25.3%) have severe NPDR while 37 (21.8%) have PDR complications. The presence of co-morbidities was found in 139 (81.8%) subjects. Patients with PDR reported a significantly longer duration of diabetes mellitus with worse glycemic control. Conclusions: The study revealed and concluded that adherence to the prescribed management regimen is important, for which patient education was the key which was lacking.

Determining the nutritional immunity information-seeking behaviour during the COVID-19 pandemic in India: a Google Trends data analysis.

OBJECTIVE: During COVID-19, the Internet was a prime source for getting relevant updates on guidelines and desirable information. The objective of the present study was to determine the nutritional immunity information-seeking behaviour during COVID-19 in India. DESIGN: Google Trends (GTs) data on relevant COVID-19 and nutritional topics were systematically selected and retrieved. Data on newly reported COVID-19 cases were also examined on a daily basis. The cross-correlation method was used to determine the correlation coefficient between the selected terms and daily new COVID-19 cases, and the joinpoint regression models were utilised to measure monthly percent change (MPC) in relative search volumes (RSV). SETTING: Online. PARTICIPANTS: People using Google search during the period 1 January 2020-31 August 2020 in India. RESULTS: The date of peak searches can be attributed to the COVID-19 guidelines announcement dates. All the nutritional terms showed a significant increase in average monthly percentage change. The higher than the average daily rise in COVID-19 cases leads to a higher than average increase in RSV of nutritional terms with the greatest association after 14-27 d. The highest mean relative search volume for nutritional terms was from Southern India (49·34 ± 7·43), and the lowest was from Western India (31·10 ± 6·30). CONCLUSION: There was a significant rise in the Google searches of nutritional immunity topics during COVID-19 in India. The local/regional terms can be considered for better outreach of public health guidelines or recommendations. Further automation of Google Trends using programming languages can help in real-time monitoring and planning various health/nutritional events.

Biological attributes of age and gender variations in Indian COVID-19 cases: A retrospective data analysis.

BACKGROUND: The associated risk factors, co-morbid conditions and biological differences varying with gender and age might be the cause of higher COVID-19 infection and deaths among males and older persons. The objective of this study was to predict and specify the biological attributes of variation in age and gender-based on COVID-19 status (deceased/recovered). METHODS: In this retrospective study, the data was extracted from a recognised web-based portal. A total of 112,860 patients' record was filtered out and an additional 9131 records were separately analysed to examine age and gender relationship with patient's COVID-19 status (recovered/deceased). Chi-square, t-test, binary logistic regression, and longitudinal regression analysis were conducted. RESULTS: The male COVID-19 cases (65.39%) were more than females (34.61%) and mean age of infected and recovered patients was 39.47 ± 17.59 years and 36.85 ± 18.51 years respectively. The odds for infection was significantly higher among females for lower age categories, which declines with age. The age-adjusted odds for recovery were significantly higher among females (O.R. = 1.779) and odds for recovery was highest in 5-17 years age category (O.R. = 88.286) independent of gender. CONCLUSION: The chances of being COVID-19 infected was higher for females of lower age categories (<35 years) which decreases with age. The odds for recovery among females was significantly higher than males. The chances of recovery declines with increasing age and the variation could be attributed to the biological differences between age categories and gender.

Nutrition Status of School Children in Punjab, India: Findings from School Health Surveys.

BACKGROUND: School-going children and adolescents are rarely targeted in nutrition surveys, despite the significant impact of nutritional status on their health, cognition, educational achievements and future economic productivity. The present secondary data analysis evaluated the nutritional status of children and adolescents in the 5-18 years age group. MATERIALS AND METHODS: The anthropometric measurements of children and adolescents studying in the government and government-aided schools were collected under the 'Rashtriya Bal Swasthya Karyakram' in the District Fatehgarh Sahib of Punjab, India between March and August 2018. It was analyzed using SPSS version 21. Mean and standard deviation for weight-for-age, height-for-age, body mass index (BMI) for age z-scores were calculated using World Health Organization's Anthro-plus software. RESULTS: A total of 897 children's data were included in the study. Out of 352 children in 5-9 years age group, mean weight, height and BMI were 15.7 ± 3.8 kg, 110.7 ± 10.6 cm and 12.7 ± 2.1 kg/m2. About 58.8%, 37.4% and 31.8% of the children were categorized as severely underweight, stunted and thin, respectively. In the 10-18 years age group, mean weight, height and BMI were 30.5 ± 9.5 kg, 140 ± 13.4 cm and 15.2 ± 2.6 kg/m2. Severe stunting was present in 19.4% of adolescents, while 26.9% were severely thin. CONCLUSION: Our study depicts a high level of undernutrition in school-going children and adolescents. There is a need to strengthen the nutrition interventions for middle childhood and adolescence period that can help in a healthy transition from childhood to adulthood and break the intergenerational cycle of malnutrition. Lay summaryNational and state-level health-priorities focus mainly on improving the nutrition status of under-5-year children, while the school-going children and adolescents are usually neglected. The present secondary data analysis estimates the burden of malnutrition in school-going children and adolescents. These data were collected under one of India's national health programs that intend to tackle childhood illnesses. Our study depicts a high level of undernutrition in school-going children and adolescents. We found that girls were affected more by malnutrition in middle childhood, i.e. during 5-9 years (both by stunting and thinness) compared to boys. But in middle and late adolescence, males were more stunted and thin compared to females. Programs to support adolescents' nutrition interventions could provide an opportunity for a healthy transition from childhood to adulthood and could be an essential step in breaking the intergenerational cycle of malnutrition.

Evaluation of village health sanitation and nutrition committee in Himachal Pradesh, India.

INTRODUCTION: Decentralization through introduction of Village Health Sanitation and Nutrition Committees (VHSNCs) was a key initiative introduced in 2007 under the National Health Mission (NHM), India to address local health and sanitation issues. This study was done to assess the functioning of the VHSNCs. AIMS AND OBJECTIVES: 1. To assess the level of awareness among the VHSNC members about their roles and responsibilities 2. To assess the level of awareness among the community members about the committee and its functions. 3. To assess the pattern of disbursement and utilization of untied funds under VHSNCs. METHODOLOGY: A cross-sectional study of 30 VHSNCs conducted in district Kangra of state Himachal Pradesh. Information was collected through a review of records and in-depth interviews with community and VHSNC members. RESULTS: All committee members knew about VHSNCs but the level of awareness among community members was comparatively less (67%). Some members were confused about their roles and responsibilities. Most active members were the FHWs, AWWs, ASHAs, Mahila mandal representatives, and the female ward panch. A major chunk (65%) of the funds is utilized on the cleanliness activities. For the nutritional part, the majority of the work is already being undertaken by the AWCs so there is no clarity regarding the functioning of the committee on this aspect.

Estimates of malnutrition and risk of malnutrition among the elderly (≥60 years) in India: A systematic review and meta-analysis.

BACKGROUND: Death is inevitable, but healthy ageing is possible with proper nutrition and health care. This systematic review and meta-analysis conducted to estimate the nation-wide prevalence and malnutrition and risk of malnutrition among the elderly in India. METHODS: PubMed, EMBASE, Web of Science, Cochrane`s library, Google Scholar were searched for the articles reporting the prevalence of malnutrition among the elderly using MNA or MNA-SF tools. The study published between the year 2010-2019 were included. Sensitivity analysis, quality assessment was done using standard methods. The publication biasness was also determined using Doi plot and LFK index. The pooled prevalence was reported with effect size and considering the random effect model and quality effect model. The subgroup analysis was also conducted for gender, study setting, study area and study regions. RESULTS: The prevalence of malnutrition and risk of malnutrition among the elderly was 18.29% and 48.17% respectively. The prevalence of malnutrition was higher among female (16.67%), clinic setting (28.87%), urban areas (19.29%) and northern region (27.37%) of India. This trend differs with the prevalence of risk of malnutrition. Meta-regression analysis shows a region-based prediction of malnutrition and setting based prediction of risk of malnutrition. CONCLUSION: The prevalence of malnutrition was not considerably higher among the elderly population but about half of the elderly population were at risk of malnutrition. This trend differs with the gender, study setting, study area and study region. Additional study using other nutritional assessment tools were needed. Intervention studies among the elderly were recommended.