title: Nutrient intake amongst adolescent girls belonging to poor socioeconomic group of rural area of Rajasthan.
abstract: OBJECTIVE
  To assess the nutrient intake of adolescent girls belonging to low socio-economic group of rural Rajasthan.
  
  
  METHODS
  Cross-sectional, using probability proportionate to size, cluster sampling method.
  
  
  METHODS
  18 villages of Jaipur district.
  
  
  METHODS
  941 adolescent girls of age 10-18 yr.
  
  
  METHODS
  Anthropometric measurements for height, weight, mid-upper arm circumference, triceps skin fold and chest circumference; 24 h recall method to assess nutrient intake. Nutrient intake was compared with Indian Council of Medical Research recommended dietary allowances.
  
  
  RESULTS
  The diets were deficient in calories by 26 to 36%, and in proteins by 23 to 32%. Nutritional status as assessed by body mass index revealed that 8.1% of adolescent girls suffered from chronic energy deficiency (CED) grade I, 6.6% grade II CED, and 78.8% grade III CED. About 73.7% of subjects suffered from anemia and 43.6% had signs of vitamin B complex deficiency.
  
  
  CONCLUSIONS
  Intervention strategies are needed to improve the dietary intake of adolescent girls so that their requirements of energy, protein, vitamins and minerals are met.
authors.affiliation: Human Nutrition Unit, All India Institute of Medical Sciences, New Delhi.
authors.forename: S
authors.initials: S
authors.lastname: Chaturvedi
authors.forename: U
authors.initials: U
authors.lastname: Kapil
authors.forename: N
authors.initials: N
authors.lastname: Gnanasekaran
authors.forename: H P
authors.initials: HP
authors.lastname: Sachdev
authors.forename: R M
authors.initials: RM
authors.lastname: Pandey
authors.forename: T
authors.initials: T
authors.lastname: Bhanti
mesh_terms: D000293:Adolescent; D017195:Adolescent Nutritional Physiological Phenomena; D000886:Anthropometry; D003906:Developing Countries; D005260:Female; D006801:Humans; D007194:India / Q000453:epidemiology; D008297:Male; D011203:Poverty / Q000706:statistics & numerical data*; D011502:Protein-Energy Malnutrition / Q000175:diagnosis / Q000453:epidemiology*; D012424:Rural Population / Q000706:statistics & numerical data*