An Efficient Anthropometric Model to Measure BMI Values of Adolescent Girls in Karnataka Rural Areas and Recommend Food Nutrition to Predict from Anemia Problems

Adolescent girls were easily enter into anemia due to skipping of food like breakfast, lunch, dinner, and not consuming proper nutritional foods. It is one of the dangerous issues facing by world and in future definitely it may be call health emergency. Nearly around twenty percentage of adolescent are exist in overall population of India as per statistics. Death rate in girls and women’s are more due to anemia disease. The main objective of these research paper is to reduce the count of girls adolescent affected with anemia, reduce the anemia effects on pregnant women’s, minimize risk of giving birth to babies with underweight, protect from risk of giving birth to babies with overweight, and also encourage women to feed babies at least six months. We proposed anthropometric model to measure BMI values. In this research paper we conducted detailed survey on 11000 adolescent girls and we observed 540 members are affected with anemia. We compared our results with IAP model and WHO model. We observed adolescent girls height and weight growth by taking various age groups. At the end we recommend nutrition and food items consumption per day to predict from anemia problems.

Authors

Publication Details

Journal
International Journal of Innovative Science and Research Technology (IJISRT)
Published
2024-09-27
DOI
https://doi.org/10.38124/ijisrt/ijisrt24sep1182
Citations
1
Primary Topic
Obesity, Physical Activity, Diet
Type
article
Field-Weighted Citation Impact
0.54
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Efficient Anthropometric Model to Measure BMI Values of Adolescent Girls in Karnataka Rural Areas and Recommend Food Nutrition to Predict from Anemia Problems

Aruna Yadav, Sandhya Srivastava
1 citations
International Journal of Innovative Science and Research Technology (IJISRT)
Obesity, Physical Activity, Diet
0.54
article

An Efficient Anthropometric Model to Measure BMI Values of Adolescent Girls in Karnataka Rural Areas and Recommend Food Nutrition to Predict from Anemia Problems

Aruna Yadav, Sandhya Srivastava
article en
1 citations

Abstract

Adolescent girls were easily enter into anemia due to skipping of food like breakfast, lunch, dinner, and not consuming proper nutritional foods. It is one of the dangerous issues facing by world and in future definitely it may be call health emergency. Nearly around twenty percentage of adolescent are exist in overall population of India as per statistics. Death rate in girls and women’s are more due to anemia disease. The main objective of these research paper is to reduce the count of girls adolescent affected with anemia, reduce the anemia effects on pregnant women’s, minimize risk of giving birth to babies with underweight, protect from risk of giving birth to babies with overweight, and also encourage women to feed babies at least six months. We proposed anthropometric model to measure BMI values. In this research paper we conducted detailed survey on 11000 adolescent girls and we observed 540 members are affected with anemia. We compared our results with IAP model and WHO model. We observed adolescent girls height and weight growth by taking various age groups. At the end we recommend nutrition and food items consumption per day to predict from anemia problems.

International Journal of Innovative Science and Research Technology (IJISRT)
Openalex Percentile: Top 28%
Obesity, Physical Activity, Diet
0.54
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.