Background: Epidemiological transition with increasing burden of cardiovascular risk factors is evident not only in adults but also in children. The data on the prevalence of prehypertension and hypertension in children show large regional differences in India and such data are not available from Central India. We, therefore, conducted a large cross-sectional study in Indore to determine the distribution of blood pressure (BP) and the prevalence of hypertension and prehypertension among schoolchildren. Methods: A total of 11,312 children (5305 girls, 6007 boys) aged 5–15 years, drawn from 80 government and private schools in equal proportion, were evaluated. Anthropometric measurements were obtained and BPs were measured using The Fourth Report on The Diagnosis, Evaluation, and Treatment of High Blood Pressure in Children and Adolescents as reference standard. BP ≥90 th to <95 th percentile for given percentile of height was considered as prehypertension, whereas any BP ≥95 th percentile was defined as hypertension. Multiple linear regression analysis was used to find out the determinants of hypertension in these children. Results: Prehypertension was detected in 6.9% and 6.5% and hypertension was found in 6.8% and 7.0% of boys and girls, respectively. Height and weight were found to be a significant predictor of systolic and diastolic BP among both boys and girls. Conclusions: Our results show a high prevalence of prehypertension and hypertension in Indore schoolchildren with age and height being significant determinants. This highlights the need for routine BP measurements in children by pediatricians when they treat them for intercurrent illnesses or vaccinate them. It should also be mandatory as a part of school health checkup programs to detect childhood hypertension for further counseling and therapy.

Background: The World Health Organization (WHO) Global Burden of Disease Study has estimated that psychiatric disorders emerging all around the globe and are increasing at a high pace. They have an impact on both the economic aspects and quality-of-life of the people. Present study was conducted to broaden our knowledge regarding mental health status in terms of prevalence of mental health disorders in the rural population, constituting 64% of the total population in India. Present study aims to estimate the prevalence of mental health disorders in the selected area and study the association of each disorder with various socioeconomic variables of individuals. Objectives of the study were to assess and associate the prevalence of study population for major mental health disorders under the headings –overall probability of any mental health disorder, internalizing disorders and externalizing disorders as broad categories.Methods: A cross-sectional study was conducted among 430 participants residing in six selected villages of rural field practice area of native college in Ujjain district. Statistical methods which applied are: percentage and proportion, mean and standard deviation and chi-square analysis for assessing the association.Results: Present study showed 44.2% participants scored in the category of high probability of having diagnosis of any mental health disorder. On testing each subgroup disorder probability of getting diagnosed with internalizing disorder emerged with prevalence of almost 50% while probability of externalizing disorder was found in 30.4% population.Conclusions: The present study revealed that nearly half of study participants had the probability of suffering from some kind of mental health disorder and association found with gender, family type, and occupation of the individual.

Background: Under-nutrition has got serious and lasting impact on health, development, society and economy. It may result in poor growth, development of child and can cause increase mortality, morbidity, health care cost, low productivity and economic growth. Nutritional rehabilitation is one of key intervention to address the under nutrition. It is questionable that nutritional intervention has potential to improve multiple domains. Methods: Follow up study evaluated the multi-domain impact of nutritional interventions on 204 admitted Severe Acute Malnutrition (SAM) children. Data was analyzed with SPSS version 20. Results: Significant positive changes were observed in physical, biochemical, developmental domains. Macnemar, paired t- test, co relation, z test were applied for data analysis. Conclusion: Nutritional intervention was found to be effective in improving selected physical, biochemical and developmental parameters. After discharge rate of improvement in anthropometric parameters was less. Actual quantification of recovery especially in biochemical and developmental parameters due to nutritional intervention is difficult.