ANTHROPOMETRIC MEASUREMENTS AND NUTRITIONAL DEFICIENCIES AMONG ADOLESCENT GIRLS IN EAST KHASI HILLS, MEGHALAYA.
1 / 0
Keywords:
Adolescent girls, Anthropometry, Iron Deficiency, Meghalaya, Nutritional deficienciesAbstract
The present study was conducted among 467 unmarried adolescent girls (13-18 yrs) with an aim to assess the anthropometric measurements and to screen for nutritional deficiencies among adolescent girls in East Khasi Hills District of Meghalaya, India. Data on Sociodemographic and clinical examination were collected using a pre-tested semi-structured questionnaire. Parameters viz., height and weight were recorded and BMI was calculated. From the 476 adolescent girls, 55.88 % were aged between 13-15 years, 63.03 % belonged to nuclear families, 69.96 % followed Christianity and 33.82 % belonged to low-income groups. The average standing height and body weight were significantly lower than the ICMR standards (p < 0.01) demonstrating growth deficit. The BMI analysis showed that 20 % of the adolescent girls were underweight, 6.09 % were overweight and 1.26 % were obese. Iron Deficiency Anaemia (IDA) was noticed in 35.5 % of adolescent girls, indicating a moderate public health concern. Vitamin C deficiency was observed in 19.6 % of the adolescent girls showing signs of spongy and bleeding gums, also classified as a mild public health problem. Vitamin A deficiency (VAD) was observed in 5 % of adolescent girls and it was classified as a mild public health problem. Additionally, 33.3 % of adolescent girls had Vitamin D deficiency, presenting with muscle and bone pain. In view of these findings, implementing targeted micronutrient interventions is imperative to mitigate deficiencies and strengthen the overall nutritional profile.
References
Bhalsod, A. S., Dave, N. N and Thakor, N. 2019.
Prevalence of nutritional deficiencies
among school going adolescents of
Vadodara, Gujarat, India: a cross
sectional study. 17(5):113-124.
Casadei K. and Kiel J. 2022. Anthropometric
Measurement. In: StatPearls. Treasure
Island (FL):StatPearls Publishing.
Pp.304-356
Dipika, A.M. 2014. Nutritional status of Khasi
schoolgirls in Meghalaya. Nutrition.
Burbank, Los Angeles County, Calif. 21
(4): 425-31.
Dover, A.R., Innes, J.A and Fairhurst, K. 2023.
Macleod’s Clinical Examination-E-Book:
Macleod’s Clinical Examination-E-Book.
Elsevier Health Sciences. pp. 234-256
Fryar, C.D., Gu, Q., Ogden, C.L and Flegal,
K.M. 2016. Anthropometric Reference
Data for Children and Adults: United
States. Vital Health Stat 3 Anal Stud.
(39):1-46.
Namita, S., Shipra, N and Takhellambam, R.
D. 2018. Assessment of micronutrient
deficiencies among tribal primary school
children of Meghalaya, India. 532-537.
Majumder, R., Kurpad, A. V., Sachdev, H. S.,
Thomas, T. and Ghosh, S. 2024.
Anthropometric growth reference for
Indian children and adolescents. Indian
Pediatrics, 61(5), 425-434.
Radhakrishnan, T., Babu, P. K and Xavier, M.
2021. Undernutrition of adolescent girls
in India: A public health menace.
International Journal of Multidisciplinary
Educational Research, 10 (9): 5.
Ravula, P., Kasala, K., Pramanik, S. and
Selvaraj, A. 2024. Stunting and
underweight among adolescent girls of
indigenous communities in telangana,
India: a cross-sectional study. Nutrients,
16(5), 731.
Sarna, A., Porwal, A., Ramesh, S., Agrawal, P.
K., Acharya, R., Johnston, R and Saxena,
R. 2020. Characterisation of the types
of anaemia prevalent among children
and adolescents aged 1–19 years in
India: a population-based study. The
Lancet Child & Adolescent Health. 4 (7):
515-525.
Siraj, A., Shukla, N, K., Singh, J, V., Shukla, R
and Shukla. M. 2018. Double burden of
malnutrition among school-going
adolescent girls in North India: A cross
sectional study. Journal of family
medicine and primary care, 7 (6): 1417
1424.
Statisticstimes. 2024. Population of Meghalaya.
Retrieved from the website (https://
statisticstimes.com/demographics/
india/meghalaya-population.php) on
01.6.2024.
Wang, X and Cheng, Z. 2020. Cross-sectional
studies: strengths, weaknesses, and
recommendations. Chest. 158 (1): S65
S71.
Weir, C. B., and Jan, A. 2019. BMI classification
percentile and cut off points.In:
StatPearls. Treasure Island (FL): PMID:
31082114
Downloads
Submitted
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The author owns the article's copyright until the article is accepted for publication. After acceptance, the author(s) assigns the article's copyright jointly to both the authors and the Publishers of the Journal of Research ANGRAU (ANGRAU) and licensed under a Creative Commons Attribution-Non Commercial-Share Alike 4.0 International License.