Assessment of Blood Lead Level of School Children in 10 Cities of India: A Cross-Sectional Study.

OBJECTIVES: To assess the blood lead level (BLL) of school children in 10 cities of India. METHODS: This multi-centric cross-sectional study enrolled participants from randomly selected schools. Data on demographic details, socioeconomic status (SES) and anthropometric indicators was collected. Samples were collected for assessment of lead level in blood. Inductively coupled plasma-optical emission spectrometry technique was used to assess BLL. RESULTS: From April 2019 through February 2020, 2247 participants were recruited from sixty schools (62.6% government schools) with equal gender distribution. The overall median (interquartile range) BLL was 8.8 (4.8, 16.4) µg/dl. The highest median (interquartile range) BLL was in Manipal 30.6 (23.0, 46.7) and lowest in Dibrugarh 4.8 (3.2, 7.0). Overall, 82.5% of participants had BLL above ≤4 µg/dl. Significant negative correlation was observed between BLL and SES (correlation= -0.24, p <0.001), anthropometric indicators (correlation= -0.11, p <0.001), hemoglobin level (correlation= -0.045, p = 0.03) and multivariate regression model showed association with gender, SES and anthropometric indicators. CONCLUSIONS: BLL are elevated in urban school going children and there is intercity variation. Hence, urgent focus is needed to reduce exposure to lead in India.

Association of dietary intake with micronutrient deficiency in Indian school children: a cross-sectional study.

Adequate nutrition is necessary during childhood and early adolescence for adequate growth and development. Hence, the objective of the study was to assess the association between dietary intake and blood levels of minerals (calcium, iron, zinc, and selenium) and vitamins (folate, vitamin B12, vitamin A, and vitamin D) in urban school going children aged 6-16 years in India, in a multicentric cross-sectional study. Participants were enrolled from randomly selected schools in ten cities. Three-day food intake data was collected using a 24-h dietary recall method. The intake was dichotomised into adequate and inadequate. Blood samples were collected to assess levels of micronutrients. From April 2019 to February 2020, 2428 participants (50⋅2 % females) were recruited from 60 schools. Inadequate intake for calcium was in 93⋅4 % (246⋅5 ± 149⋅4 mg), iron 86⋅5 % (7⋅6 ± 3⋅0 mg), zinc 84⋅0 % (3⋅9 ± 2⋅4 mg), selenium 30⋅2 % (11⋅3 ± 9⋅7 mcg), folate 73⋅8 % (93⋅6 ± 55⋅4 mcg), vitamin B12 94⋅4 % (0⋅2 ± 0⋅4 mcg), vitamin A 96⋅0 % (101⋅7 ± 94⋅1 mcg), and vitamin D 100⋅0 % (0⋅4 ± 0⋅6 mcg). Controlling for sex and socioeconomic status, the odds of biochemical deficiency with inadequate intake for iron [AOR = 1⋅37 (95 % CI 1⋅07-1⋅76)], zinc [AOR = 5⋅14 (95 % CI 2⋅24-11⋅78)], selenium [AOR = 3⋅63 (95 % CI 2⋅70-4⋅89)], folate [AOR = 1⋅59 (95 % CI 1⋅25-2⋅03)], and vitamin B12 [AOR = 1⋅62 (95 %CI 1⋅07-2⋅45)]. Since there is a significant association between the inadequate intake and biochemical deficiencies of iron, zinc, selenium, folate, and vitamin B12, regular surveillance for adequacy of micronutrient intake must be undertaken to identify children at risk of deficiency, for timely intervention.

Micronutrients and cognitive functions among urban school-going children and adolescents: A cross-sectional multicentric study from India.

BACKGROUND: Micronutrient deficiency (MD) is associated with deficits in cognitive functioning of children. However, no comprehensive multicentric study has been conducted in India to explore the role of multiple MD in cognition of children and adolescents. The present study aimed to explore association of MD with level of general intelligence and specific cognitive functions, in urban school-going children and adolescents across ten cities of India. METHOD: Cross-sectional multicentric study, enrolled participants aged 6-16 years. Blood samples were collected for biochemical analysis of calcium, iron, zinc, selenium, folate, vitamin A, D and B12. Colored Progressive Matrices / Standard Progressive Matrices (CPM/SPM), Coding, Digit Span and Arithmetic tests were used for the assessment of cognitive functions of participants. Height and weight measures were collected along with socio-economic status. RESULTS: From April-2019 to February-2020, 2428 participants were recruited from 60 schools. No MD was found in 7.0% (134/1918), any one MD in 23.8% (457/1918) and ≥ 2 MD in 69.2% (1327/1918) participants. In presence of ≥ 2 MD, adjusted odds ratio (OR) for borderline or dull normal in CPM/SPM was 1.63, (95% CI: 1.05-2.52), coding was 1.66 (95% CI: 1.02-2.71), digit span was 1.55 (95% CI: 1.06-2.25) and arithmetic was 1.72 (95% CI: 1.17-2.53), controlling for gender, socioeconomic status and anthropometric indicators. CONCLUSION: Since ≥ 2 MD were found in more than 2/3rd of participants and was associated with impairment in cognitive function, attempts must be made to ameliorate them on priority in school going children in India. TRIAL REGISTRATION NUMBER: CTRI/2019/02/017783.

Prevalence of specific micronutrient deficiencies in urban school going children and adolescence of India: A multicenter cross-sectional study.

INTRODUCTION: Childhood and adolescence require adequate amount of micronutrients for normal growth and development. The primary objective of study was to assess the prevalence of deficiencies of Vitamins (Vitamin A, 25 Hydroxy Vitamin D, Vitamin B12 and Folate) and minerals (Calcium, Zinc, Selenium and Iron), among urban school going children aged 6-11 and 12-16 years in ten cities of India. Secondary objective was to find the association between micronutrient deficiencies with sociodemographic and anthropometric indicators. METHODS: A multi-center cross-sectional study was conducted across India. Participants in the age groups of 6 to 11 years (group 1) and 12 to 16 years (group 2) were selected from randomly chosen schools from each center. Data on socio economic status, anthropometric measures was collected. Blood samples were collected for biochemical analysis of micronutrients. Point estimates and 95% confidence intervals was used to assess the prevalence of deficiencies. Associations were observed using chi square, student t test and ANOVA test. RESULTS: From April 2019 to February 2020, 2428 participants (1235 in group 1 and 1193 group 2) were recruited from 60 schools across ten cites. The prevalence of calcium and iron deficiency was 59.9% and 49.4% respectively. 25 Hydroxy Vitamin D deficiency was seen in 39.7% and vitamin B12 in 33.4% of subjects. Folate, Selenium and Zinc were deficient in 22.2%, 10.4% and 6.8% of subjects respectively. Vitamin A deficiency least (1.6%). Anemia was prevalent in 17.6% subjects and was more common among females. CONCLUSION: One or more micronutrient deficiencies are found in almost one half of school going children in urban area. Hence efforts must be made to combat these on priority. TRIAL REGISTRATION NUMBER: CTRI/2019/02/017783.

Rosai-Dorfman Disease.

A young male presented with recurrent neck swellings with initial leucocyte count of 16800/mm3, with non-caseating glands on ultrasonography neck. FNAC showed mixed cellularity with histiocytic and marked lymphophagocytosis as seen in Rosai Dorfman Disease. Immunohistochemistry demonstrated CD 25, Ki 67 and CD 68 in histiocytes. Her responded to supportive treatment alone.

Clinical profile of persons with family history of diabetes mellitus with special reference to body fat percentage.

AIMS AND OBJECTIVES: To measure total body fat percentage of persons with evident family history of diabetes mellitus; to assess the BMI and other risk factors of persons at risk of developing diabetes mellitus; and to compare the body fat percentage between first degree relatives of diabetics and nondiabetic patients. MATERIALS AND METHODS: Total 140 subjects, first degree relatives of diabetic patients and similar number of age and sex matched control were selected from first degree relatives of non-diabetic patients. Detailed clinical, systematic anthropometric evaluation and calculation of BMI and blood sugar and other relevant laboratory investigations were done. Body fat percentages were calculated using bioimpedance method using fat monitor. RESULTS: Average percentage of body fat was 32 percent. fifty-two percent subjects were overweight (BMI 25--<30). It was proved statistically that hypertension was 4.5 times higher in cases than in the control group (95% CI--2.57-7.91, p < 0.005). In case of obesity the differences between case and control were not significant (OR--2.09, 95% CI--0.61-7.24, p > 0.05). BMI was four times higher in cases than control groups (95% CI--2.49-7.20, p < 0.001). During the study the newly detected diabetes was significantly higher amongst cases than control (OR--25.52, 95% CI--15.42-42.59, p < 0.001). Body fat percentage was 3.88 times higher in cases than control group. The difference of body fat percentage was statistically significant (95% CI--2.35-6.43, p < 0.001). CONCLUSION: Body fat percentage monitoring could be a useful tool for assessing the potential diabetics, particularly for high risk screening and it might prove as an important tool for evidence based monitoring of lifestyle modification approaches for health promotion.

Prevalence of hypertension and its risk factors in a tea garden community of Dibrugarh District, Assam.

A cross-sectional study was conducted during August 2003- July 2004 to assess the prevalence of hypertension among a tea garden population in a district of Assam and to ascertain the identified risk factors. 510 labourers aged 20-59 years were studied. Overall prevalence of hypertension was 33.3% with no significant sex difference. 30.2% had history of smoking and 76.7% of tobacco chewing; 78.4% consumed alcohol (regular and occasional), 5.7% were overweight and 14.3% underweight. Waist hip ratio was normal in 89.2% subjects. The association between increasing age and hypertension could be established in univariate analysis. On multiple logistic regression analysis regular alcohol intake was also found to be significantly associated factor with hypertension.