1. Introduction and Overview. 2. Detecting Influential Observations and Outliers. 3. Detecting and Assessing Collinearity. 4. Applications and Remedies. 5. Research Issues and Directions for Extensions. Bibliography. Author Index. Subject Index.

Regression Diagnostics: Identifying Influential Data and Sources of Collinearity

http://drop-kicker.com/wp-content/uploads/2014/01/kyle-bia.pdf

Bioelectrical impedance analysis--part I: review of principles and methods.

Bioelectrical impedance analysis-part II: utilization in clinical practice.

In 1229 subjects, 521 males and 708 females, with a wide range in body mass index (BMI; 13.9-40.9 kg/m2), and an age range of 7-83 years, body composition was determined by densitometry and anthropometry. The relationship between densitometrically-determined body fat percentage (BF%) and BMI, taking age and sex (males = 1, females = 0) into account, was analysed. For children aged 15 years and younger, the relationship differed from that in adults, due to the height-related increase in BMI in children. In children the BF% could be predicted by the formula BF% = 1.51 x BMI-0.70 x age - 3.6 x sex + 1.4 (R2 0.38, SE of estimate (SEE) 4.4% BF%). In adults the prediction formula was: BF% = 1.20 x BMI + 0.23 x age - 10.8 x sex - 5.4 (R2 0.79, SEE = 4.1% BF%). Internal and external cross-validation of the prediction formulas showed that they gave valid estimates of body fat in males and females at all ages. In obese subjects however, the prediction formulas slightly overestimated the BF%. The prediction error is comparable to the prediction error obtained with other methods of estimating BF%, such as skinfold thickness measurements or bioelectrical impedance.

/pdf/body-mass-index-as-a-measure-of-body-fatness-age-and-sex-44r5cwm5ge.pdf

Body mass index as a measure of body fatness: age- and sex-specific prediction formulas.

pdf/kdoqi-clinical-practice-guideline-for-nutrition-in-ckd-2020-ju76c0vphn.pdf

KDOQI Clinical Practice Guideline for Nutrition in CKD: 2020 Update

This study was conducted to validate the relationship between bioelectrical conductance (ht2/R) and densitometrically determined fat-free mass, and to compare the prediction errors of body fatness ...

Validation of tetrapolar bioelectrical impedance method to assess human body composition.

Total body water in pregnancy: assessment by using bioelectrical impedance.

Soft tissue composition of pigs measured with dual x-ray absorptiometry: comparison with chemical analyses and effects of carcass thicknesses.

One hundred and four female and male athletes underwent determinations of hydrodensitometry (HD) and tetrapolar bioelectrical impedance (TBI) under uncontrolled (measurements made without regard to preceding exercise, level of hydration, or eating) and controlled conditions (measurements made two hours after consuming a light meal and no preceding exercise). Fat-free mass (FFM) was estimated from TBI measurements using a previously determined multiple regression equation. No difference (p greater than 0.05) was found in mean FFM values by method or experimental condition. In the uncontrolled state, fat mass and percent body fat (%BF) by impedance were lower (p less than 0.05) than that observed by HD or by TBI under controlled conditions. Linear regression analyses between FFM determined by HD and predicted by TBI under controlled and uncontrolled conditions yielded regression coefficients similar to the line of identify. The relationship between %BF by HD and calculated from impedance-predicted FFM and body mass under uncontrolled conditions was different (p less than 0.05) from the line of identify. In contrast, the regression of densitometric against impedance-predicted %BF under controlled conditions was similar to the line of identify with an error of 2.8%. These findings indicate the need for controlled measurement conditions to obtain valid body composition estimates using the TBI method in healthy people.

/pdf/body-composition-assessment-of-athletes-using-bioelectrical-393xamkibl.pdf

Body composition assessment of athletes using bioelectrical impedance measurements.

Objective: This study tested the hypothesis that bioelectrical impedance vectors, group and individual, are valid indicators of total body water (TBW) and hydration status in women experi- encing fluid gain and loss during and after pregnancy Methods: We measured TBW, assessed with D2O dilution, and resistance (R) and reactance (Xc), determined with 800 A at 50 kHz and standardized for height (H) and plotted on a bivariate (R-Xc) graph, in 15 women, 21-37 y of age, longitudinally before and during pregnancy and postpartum (PP) Results: Body weight (619 23 to 755 23 kg) and TBW (314 11 to 382 11 L) increased (P 005) from before pregnancy to the third trimester of pregnancy and decreased PP (670 23 kg and 327 11 L, P 005) R/H and Xc/H decreased during pregnancy (P 005, 361 10 to 318 10 and 44 1t o 36 1 /m, respectively) and increased PP (P 005, 355 10 and 41 1 /m) Vector length decreased (P 005, 363 10 to 320 10 ) during pregnancy and increased PP (P 005, 357 10 ) Changes in vector length and TBW during pregnancy and PP were correlated (r 0599, P 0001) Women with vectors exceeding a 75% tolerance interval had greater TBW gain (10-12 versus 5-6 L) during pregnancy compared with other women with vectors within this tolerance level Conclusion: These findings indicate that impedance vectors provide quantitative evidence of hydration status during pregnancy and that the impedance vector method is useful in monitoring hydration status in pregnancy © 2007 Elsevier Inc All rights reserved

Applied nutritional investigation Assessment of change in hydration in women during pregnancy and postpartum with bioelectrical impedance vectors

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