Precision of measuring body fat distribution in adolescent African American girls from the ‘healthy growth study’

Mueller, William H.; Taylor, Wendell C.; Chan, Wenyaw; Sangi‐Haghpeykar, Haleh; Snider, Sharon A.; Hsu, Hai An

doi:10.1002/(sici)1520-6300(1996)8:3<325::aid-ajhb3>3.0.co;2-z

Cited by 9 publications

(6 citation statements)

References 18 publications

(10 reference statements)

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“…Consistent with other studies (Crespi et al 2012; El-Moalem et al 1997; Mueller et al 1996), ICCs for these measures ranged from 0.92 to 1.00 (Table 2). …”

Section: Resultssupporting

confidence: 89%

The reliability of in-home measures of height and weight in large cohort studies

Hussey¹,

Nguyen²,

Whitsel³

et al. 2015

DemRes

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Background With the emergence of obesity as a global health issue an increasing number of major demographic surveys are collecting measured anthropometric data. Yet little is known about the characteristics and reliability of these data. Objectives We evaluate the accuracy and reliability of anthropometric data collected in the home during Wave IV of the National Longitudinal Study of Adolescent to Adult Health (Add Health), compare our estimates to national standard, clinic-based estimates from the National Health and Nutrition Examination Survey (NHANES) and, using both sources, provide a detailed anthropometric description of young adults in the United States. Methods The reliability of Add Health in-home anthropometric measures was estimated from repeat examinations of a random subsample of study participants. A digit preference analysis evaluated the quality of anthropometric data recorded by field interviewers. The adjusted odds of obesity and central obesity in Add Health vs. NHANES were estimated with logistic regression. Results Short-term reliabilities of in-home measures of height, weight, waist and arm circumference—as well as derived body mass index (BMI, kg/m2)—were excellent. Prevalence of obesity (37% vs. 29%) and central obesity (47% vs. 38%) was higher in Add Health than in NHANES while socio-demographic patterns of obesity and central obesity were comparable in the two studies. Conclusions Properly trained non-medical field interviewers can collect reliable anthropometric data in a nationwide, home visit study. This national cohort of young adults in the United States faces a high risk of early-onset chronic disease and premature mortality.

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“…Consistent with other studies (Crespi et al 2012; El-Moalem et al 1997; Mueller et al 1996), ICCs for these measures ranged from 0.92 to 1.00 (Table 2). …”

Section: Resultssupporting

confidence: 89%

The reliability of in-home measures of height and weight in large cohort studies

Hussey¹,

Nguyen²,

Whitsel³

et al. 2015

DemRes

View full text Add to dashboard Cite

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“…Moreover, according to the published anthropometric literature, studies involving manual circumference measurements should aim to achieve correlations with a level of r > 0.95 [11]. Our very high correlations surpassed those reported in previously published studies of circumference measurement [12][13][14]. When this standardized protocol is used in conjunction with a 3D photography system, the precision and reproducibility of measurements increase to levels greater than those of trained investigators.…”

Section: Discussionmentioning

confidence: 99%

Three‐dimensional surface imaging for clinical trials: Improved precision and reproducibility in circumference measurements of thighs and abdomens

et al. 2009

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“…25 Imprecision is a critical factor in CBFD ratios studied cross-sectionally. 26,27 This study investigates the role of within-individual variation as a factor in tracking CBFD during growth across 1, 2 and 3 y intervals in Project HeartBeat! It is hypothesized that two measures of CBFD at each measurement interval will significantly improve tracking for CBFD in each age cohort.…”

Section: Introductionmentioning

confidence: 87%

“…Criteria for selection of variables included prior evidence of acceptable precision and validity. 27,29 The six BF indices were abdomen circumference (ABD); body mass index (BMI); percentage body fat (PFB) derived from bioelectrical impedance (BIA) and anthropometry from equations of Guo et al, 31 …”

Section: Variablesmentioning

confidence: 99%

Tracking body fat distribution during growth: using measurements at two occasions vs one

Dai

2001

Int J Obes

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OBJECTIVE:To investigate whether within-individual variation is a factor in the generally reported poor tracking of central body fat distribution (CBFD) during development and whether two measurements of CBFD during each measurement occasion would improve the estimate of tracking over time. METHODS: A longitudinal study compared the results of two measurements of body fat (BF) and CBFD during each measurement occasion to the results of one measurement of BF and CBFD during each occasion every 4 months over 1 -3 y. A total of 345 boys and 333 girls in three age cohorts of 8, 11 and 14 y at baseline were examined. BF variables were: body mass index (BMI); fat mass and percentage body fat from bioelectrical impedance; two skinfold sums; and abdominal circumference. CBFD variables were: waist=hip and waist=thigh ratios; conicity; and log upper-lower skinfold ratio. RESULTS: Three-year tracking of BF varied from 0.79 to 0.90 for one-and from 0.81 to 0.93 for two-occasion measurements showing no apparent sex-or cohort-effects. Three-year tracking of CBFD was lower than that of BF (0.68 -0.75), but improved significantly with two-occasion measurements (0.75 -0.82). CONCLUSIONS: Within-individual variation is a significant factor in reported low tracking of CBFD in childhood. Estimates of tracking currently in the literature may underestimate the predictive value of CBFD, possibly because this research has used oneoccasion measurement. The increased use of two-occasion measurement should significantly improve the tracking of CBFD during development and provide a more realistic understanding of its predictive value.

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Precision of measuring body fat distribution in adolescent African American girls from the ‘healthy growth study’

Cited by 9 publications

References 18 publications

The reliability of in-home measures of height and weight in large cohort studies

The reliability of in-home measures of height and weight in large cohort studies

Three‐dimensional surface imaging for clinical trials: Improved precision and reproducibility in circumference measurements of thighs and abdomens

Tracking body fat distribution during growth: using measurements at two occasions vs one

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