Nutritional Status Of Socio-Economically Disadvantaged Preschool Children In India: A Review
Bibliographic record
Abstract
Undernutrition is a major public health problem leading to child morbidity and an underlying cause for more than half of child deaths worldwide, particularly in low socio-economic communities and in developing countries.Poverty is a key determinant of under nutrition, through the unhealthy physical environment, domestic stress.India is a big country having varied geography, climatic conditions, socioeconomic distribution, religion, culture, and food habits.Thus, the prevalence of undernutrition differs substantially between states, districts and communities.The aim of this review is toaim is to identify, describe,synthesize andsummarize online available published studies on assessment of nutritional status of preschool children conductedin various socioeconomically disadvantaged areas of India.A total of 21 scientific papers were considered for this study.In the considered papers the sample sizes ranged from 30 to 1032 children.The data for this paper was collected from original published research articles searched through Goggle Scholar, PubMed, Medline, Scopus and Science Direct database.The study showed that undernutrition in the form of underweight, stunting and wasting was found to be widely prevalent among preschool children.Several risk factors associated with underweight, stunting and wasting of preschool children were identified.Childhood underweights, stunting and wasting are consistently associated with male sex, age, family size and other socio-economic characteristics.The study found that children below 5 years from low socio-economic strata had a higher risk of being undernourished and confirmed the vicious cycle of acute illness and undernutrition.Nutrition, health education and good access and utilization of healthcare can be very effective interventions which could result in substantial reduction in undernutrition prevalent in socioeconomically disadvantaged preschool children.Nutrition education should be imparted to mothers to improve quality of food provided to the children.Continuous monitoring and surveillance of Anganwadi centres could identify underlying factors of malnutrition, thus help in the planning of preventive strategies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".