2022
DOI: 10.1016/j.afos.2022.09.004
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Reply on “Significant change for body composition data”

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Cited by 3 publications
(2 citation statements)
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“…It has been mentioned that the minimal clinically important difference is classified as clinically important and is considered the smallest effect required to produce clinically important results (116) . The data for minimal clinically important difference regarding body composition are limited; however, a wide range of studies have confirmed that the risk of metabolic disorders could be decreased whenever they saw reductions of 5 % of initial weight (117,118) . Warkentin et al showed that weight reductions to achieve minimal clinically important difference for most health-related quality-of-life instruments are markedly higher than the conventional threshold of 5 % to 10 %.…”
Section: Discussionmentioning
confidence: 99%
“…It has been mentioned that the minimal clinically important difference is classified as clinically important and is considered the smallest effect required to produce clinically important results (116) . The data for minimal clinically important difference regarding body composition are limited; however, a wide range of studies have confirmed that the risk of metabolic disorders could be decreased whenever they saw reductions of 5 % of initial weight (117,118) . Warkentin et al showed that weight reductions to achieve minimal clinically important difference for most health-related quality-of-life instruments are markedly higher than the conventional threshold of 5 % to 10 %.…”
Section: Discussionmentioning
confidence: 99%
“…BMI, waist circumference, and body composition measures were analyzed as categorical (4 quartiles) and continuous variables. Because there is no uniformly accepted definition for a significant difference in waist circumference 22 and body composition, 23 a tolerance limit of a unit increase (10% increase for muscle mass divided by weight and fat mass divided by weight) and an SD increase were used for all studied measures. The breast cancer incidence rate was calculated for each quartile per 100 000 person-years.…”
Section: Methodsmentioning
confidence: 99%