A Point-of-Care Method with Integrated Decision Support Tool to Estimate Anemia at Population Level

Robust point-of-care methods are required to estimate anemia at the population level. The accurate methods are lab-based and cannot be used at the point ...

ICMR-National Institute of Nutrition

Long-chain omega-3 polyunsaturated fatty acids (PUFA) such as docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA) play an essential role in cognitive and behavioural changes among school going children. This study delineates the dietary omega-3 PUFA [alpha-Linolenic acid (ALA), DHA, and EPA] intake and plasma fatty acids levels among school-going children. This is a cross-sectional study purely observational in nature, wherein 625 apparently healthy boys and girls aged between 7 and 13 years were selected from five different schools of Hyderabad. Dietary information on omega-3 PUFA (ALA, DHA, and EPA) intake was collected using a food frequency questionnaire. Plasma fatty acid concentrations were measured in 34% of sub-sample using standard gas chromatography. The study revealed that the average dietary intakes of omega-3 PUFA, ALA, DHA, and EPA were 55.46, 15.82, 35.59, 4.06 mg/day, respectively. There was a significant difference in mean DHA intake among gender and age group [girls (38.64±1.45 mg/day), boys (31.80±1.38 mg/day) p < 0.001] and [7-10 years (31.75±1.38 mg/day), 11-13 years (38.07±1.40 mg/day) p < 0.01]. The mean plasma DHA and DPA levels of overall subjects were 0.98 nmol% and 0.18nmol% respectively which was comparable among different gender, age and BMI-for age groups. There was a positive correlation between dietary DHA intake and plasma DHA level [ρ=0.376 (p < 0.001)]. The current study demonstrated that the omega-3 PUFA intake in school going children was less and reinforces the importance of increasing the omega-3 PUFA intake through diet and supplements.

Omega-3 polyunsaturated fatty acid intake and plasma fatty acids of school going Indian children - a cross-sectional study.

Maternal nutritional status and care during pregnancy are essential for adequate birth weight. In this prospective cohort study (N = 1061) in an urban slum, we investigated the association of maternal anthropometry, body composition, gestational weight gain and dietary intakes with low birthweight (LBW, <2.5 kg). About one-third of the women were short (<150 cm), 35% were underweight (<45 kg), 23% suffered from chronic energy deficiency (CED, BMI < 18.5 kg/m2) and another 30% were overweight/obese. The mean age and BMI were 23 years and 21.7 kg/m2, respectively, and haemoglobin was 10.73 g/dL. The mean birthweight (N = 605) was 2.81 ± 0.5 kg, and the average gestational age was 38 ± 2 weeks. About 15% of infants had LBW, and 48% were small for gestational age (SGA). Maternal body composition was assessed by skinfold thickness (SFT) in all trimesters. In the first trimester (N = 762), we found that mean fat-free mass (FFM), fat mass (FM) and body fat percentage (% BF) were 38.86 kg, 11.43 kg and 21.55%, respectively. Low birthweight was significantly associated with preterm deliveries (p < 0.001) and less fat free mass (p = 0.02) in the third trimester. Among other factors were age (p = 0.017), maternal anthropometry (height: p = 0.031; weight: p = 0.059) and fewer antenatal check-ups (p = 0.037). Small size (SGA) was consistently associated with maternal bodyweight at all trimesters (term I, p = 0.013, term II, p = 0.003 and term III, p < 0.001), fat mass in the third trimester (p < 0.001) and maternal height (p = 0.003).

Maternal Nutrition, Body Composition and Gestational Weight Gain on Low Birth Weight and Small for Gestational Age-A Cohort Study in an Indian Urban Slum.

The incidence of antimicrobial resistance (AMR) is rapidly spreading worldwide. It is depleting the repertoire of antibiotics in use but the pace of development of new antibiotics is stagnant for decades. Annually, millions of people are killed by AMR. This alarming situation urged both scientific and civil bodies to take steps to curb AMR as a top priority. Here we review the various sources of AMR in the environment, especially focusing on the food chain. Food chain inculcates pathogens with AMR genes and serves as a conduit for its transmission. In certain countries, the antibiotics are more used in livestock than in humans. It is also used in agriculture crops of high value products. The indiscriminate use of antibiotics in livestock and agriculture increased rapid emergence of AMR pathogens. In addition, in many countries nosocomial settings are spewing AMR pathogens, which is a serious health hazard. Both the developed and low and middle income countries (LMIC) face the phenomenon of AMR. Therefore, a comprehensive approach for monitoring all sectors of life is required to identify the emerging trend of AMR in environment. AMR genes' mode of action must be understood to develop strategies to reduce risk. The new generation sequencing technologies, metagenomics and bioinformatics capabilities can be resorted to quickly identify and characterize AMR genes. The sampling for AMR monitoring can be done from multiples nodes of the food chain as envisioned and promoted by the WHO, FAO, OIE and UNEP under the One Health approach to overcome threat of AMR pathogens.

The role of food chain in antimicrobial resistance spread and One Health approach to reduce risks.

Assessment of the nutritional composition of Human Breast Milk (HBM) is important to understand its sufficiency as the sole nutrient source in infants. The present study is aimed to analyze the proximate composition along with total amino acid and fatty acid profile in term and preterm HBM of different socio economic status. This cross sectional study included, 120 lactating mothers with term or preterm gestation from maternity hospitals located in Hyderabad, Telangana. Nutritional proximate, total amino and fatty acid profiles were estimated in pooled human milk collected from each participant within the first week of postpartum. The macronutrient composition in term was similar to that of preterm breast milk. The essential amino acid Leucine was significantly high in preterm (8.91 ± 0.18) when compared to term (8.61 ± 0.23). ω-5 fatty acid Myristoleic acid was significantly high in preterm (0.14 ± 0.02) when compared to term (0.11 ± 0.02), whereas ω-6 fatty acids like Docosadienoic Acid and Eicosadienoic acid were found to be significantly high in term when compared to preterm. Further, it was also found that the mono unsaturated and ω-9 fatty acids were significantly high in lower socio economic group, whereas, poly unsaturated and ω -3 and 6 fatty acids were significantly high in upper socio economic group. The present study concludes that, nutritional composition like essential amino and fatty acids of human milk vary significantly between different gestational age as well as in socio economic groups.

Macronutrient composition of term and preterm human milk of different socio economic groups.

The persistent high prevalence of anaemia among Indian women of reproductive age (WRA) despite aggressive long-term iron supplementation could be related to over-diagnosis from an inappropriately high haemoglobin (Hb) diagnostic cut-off. To develop an appropriate cut-off for Indian WRA, we hypothesized that during iron-folic acid (IFA) supplementation to a mixed (anaemic/non-anaemic) WRA population, the positive slope of the Hb-plasma ferritin (PF) response in anaemic women would inflect into a plateau (zero-response) as a non-anaemic status is reached. The 2.5th percentile of the Hb distribution at this inflection point will be the diagnostic Hb cut-off for iron-responsive anaemia.

Santosh Kumar Banjara

Clinical Division

ICMR-National Institute of Nutrition

A Point-of-Care Method with Integrated Decision Support Tool to Estimate Anemia at Population Level

Santosh Kumar Banjara

.css-o250i3{font-size:18px;font-family:Open Sans,sans-serif;line-height:21.6px;}Clinical Division

ICMR-National Institute of Nutrition

A Point-of-Care Method with Integrated Decision Support Tool to Estimate Anemia at Population Level

Clinical Division