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1.
Indian J Physiol Pharmacol ; 1999 Oct; 43(4): 435-42
Article in English | IMSEAR | ID: sea-107184

ABSTRACT

Maximal expiratory pressure (MEP) can be used as an index of respiratory muscle strength and of the ability of an individual to cough effectively. The influence of anthropometry, nutritional status and ethnicity on MEP was studied in 113 young healthy Indian males and 53 Tibetans between 18 and 30 years of age. All subjects underwent an anthropometric assessment. Anthropometric variables (BMI, log BMI) explained only 12.5% of the variance in MEP. MEP was significantly lower in chronically undernourished subjects when compared with anthropometrically similar underweight subjects (P < 0.05). The Indian subjects had significantly lower MEP's than BMI matched Tibetan subjects (P < 0.01). This difference may have been due to the higher chest circumferences in the Tibetans (P < 0.01). While general muscle strength (maximal hand grip) and MEP were significantly correlated (r = 0.26, P < 0.01), the strength of the correlation was relatively low, suggesting that the determinants of the two measures were considerably different.


Subject(s)
Adolescent , Adult , Anthropometry , Body Mass Index , Ethnicity , Humans , India , Male , Nutritional Status , Pressure , Respiratory Mechanics , Respiratory Muscles/physiology , Tibet
2.
Indian J Physiol Pharmacol ; 1999 Apr; 43(2): 179-85
Article in English | IMSEAR | ID: sea-106958

ABSTRACT

Body fat topography was determined using anthropometric techniques in young, healthy, Indian and Tibetan adults. Indian subjects had significantly higher fat contents with greater abdominal obesity when compared with Tibetans matched for body mass index (BMI). This differential fat distribution may contribute, in part, to the greater cardiovascular risk of Indians. Using a cross sectional model, the data was also analysed to assess the probable changes in body fat topography with weight gain. This model suggests a preferential gain in abdominal subcutaneous fat as compared to other sites. This data may have implications while evaluating disease risks with weight gain.


Subject(s)
Adipose Tissue , Body Composition/physiology , Body Mass Index , Cross-Sectional Studies , Humans , India , Tibet , Weight Gain
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