2014
DOI: 10.21276/apjhs.2014.1.1s.16
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Screening for malnutrition in the elderly population: a tool for estimating height from knee height

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Cited by 1 publication
(4 citation statements)
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“…In contrast, the new population-specific formula for men (knee height, age and weight) that we devised yielded a mean overestimation of 0.0000 m, and this difference from actual height was not statistically significant. We also found that another Indian populationspecific equation derived by Mathew et al (2014) showed significance difference for stature estimation form our subjects, both in men as well as women. This formula resulted in mean deviation for men (-0.0002 m; -0.0673%) as well as women (-0.1524m; -10.5053%).…”
Section: Discussionsupporting
confidence: 60%
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“…In contrast, the new population-specific formula for men (knee height, age and weight) that we devised yielded a mean overestimation of 0.0000 m, and this difference from actual height was not statistically significant. We also found that another Indian populationspecific equation derived by Mathew et al (2014) showed significance difference for stature estimation form our subjects, both in men as well as women. This formula resulted in mean deviation for men (-0.0002 m; -0.0673%) as well as women (-0.1524m; -10.5053%).…”
Section: Discussionsupporting
confidence: 60%
“…In our present study we used fifteen formulae for predicted height among our subjects. We found that American (Chumlea et al 1985), White and Black (Chumlea and Guo 1992), Chinese (Li et al 2000), Korea (Hwang et al 2009), Chili (Lera 2005), Japan (Knous 2002) Italian (Donini 2000), Punjab, India (Mathew et al 2014) population based equation model showed statistically significance difference in estimation from our derived equations. In cases of Hispanic (Bermudez et al 1999), Puerto Rican (Bermudez et al 1999), Brazil (Lera 2005), Mexico City (Lera 2005) no significant difference was observed.…”
Section: Discussionmentioning
confidence: 53%
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