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F Victoria

Publications and source records attributed to F Victoria.

4 recordsLinked to original sources

Difference in dietary intake and activity level between normal-weight and overweight or obese adolescents.

BACKGROUND: To investigate the prevalence of overweight and obesity in an adolescent group representative of a rural Mediterranean area and to determine possible associations with energy and nutrient intakes and levels of physical exercise. METHODS: A representative sample of adolescents was drawn from the secondary school of Torre Pacheco (Murcia), a rural Mediterranean area located in the southeast of Spain. The population selected (331 adolescents aged 14-18 years), was divided into two groups: normal-weight subjects with a body mass index less than 23 kg/m2 and overweight or obese subjects with a body mass index of 23 kg/m2 or more. Weight, height, abdominal and hip perimeters, triceps skinfold, and upper arm circumference were measured. A prospective 7-consecutive-days food record and physical activity questionnaire were completed. RESULTS: Overweight boys and girls had an apparently lower energy intake (P = 0.001 and P = 0.042, respectively), and carbohydrate intake (P = 0.000, P = 0.032) than their normal-weight counterparts, but they tended to underreport more often. Overweight boys derived a greater percentage of their energy from fat (P = 0.049) and less from carbohydrate (P = 0.016) than their normal-weight counterparts. Among girls, the percentage of energy derived from fat increased with body mass index (r = 0.210, P = 0.008), whereas fiber intake decreased (r = -0.145; P = 0.041). Overweight and obesity were negatively related to physical activity level only among boys (P = 0.033). CONCLUSION: There is a high prevalence of overweight and obesity in the adolescent population studied (48.2% in boys and 30.7% in girls). The study shows an association between overweight and obesity and nutrient intake and activity level.

Adolescent↗

[Milk intolerance in Colombian children, its prevalence and relation to lactose malabsorption].

A total of 121 children from an orphange were studied. Their ages ranged from 2 to 10 years and represented different ethnic backgrounds. The prevalence of malnutrition was 45% and their gastrointestinal symptomatology in response to graded amounts of milk intake was evaluated. None of the children complained when milk intakes were of 200 cc; 10% complained of gastrointestinal discomfort and/or diarrhea when 300 cc of milk (equivalent to 12 g of lactose) were administered, and 54% presented lactose malabsorption unrelated to ethnic background, sex or malnutrition. It is concluded that the prevalence of milk intolerance is minimal when milk is given in the usual amounts.

Age Factors↗

Screening for malnutrition with arm circumference.

The opinions on the performance characteristics of the mid arm circumference as anthropometric measurement for malnutrition screening are quite contradictory. In this paper we analyze the specificity and sensitivity of the arm tape under different conditions and conclude that the design of the tape characteristics should aim at an instrument which can satisfy specific needs instead of a general purpose one. We also give some measurements for the practical design of the instrument. 1. This investigation has been carried out under the Contract AID/ta-C-1121 and the Fundación para la Educación Superior. 2. Universidad del Valle. 3. Fundación para la Educación Superior. 4. Community Systems Foundation.

Anthropometry↗

Comparative analysis of some anthropometric measurements.

The main objective of this work is to determine what anthropometric method to use under field conditions, given the kind of mainutrition to be detected. In the first part of the work some criteria and procedures are given by which to compare the field perfomance characteristics (i.e. transportability, facility of use, etc.), of the most commonly used instruments. Then we extrapolate these characteristics to the respective methods like weight for age, weight for height, height for age, etc. In the second part we present a correlation matrix among the various methods and analyze it in order to associate with each method a specific typology of malnutrition.

Age Factors↗