Birth ponderal index and body mass index reference curves in a large population

Lehingue, Y; Remontet, Laurent; Munoz, F.; Mamelle, N.

doi:10.1002/(sici)1520-6300(1998)10:3<327::aid-ajhb8>3.0.co;2-f

Cited by 29 publications

(5 citation statements)

References 15 publications

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“…For the assessment of physique in children depending on the age, the body mass index and the Kaup index use body weight divided by height squared, while the Laurel index uses body weight divided by height cubed [ 19 ]. In newborns, the body weight is generally proportional to the height cubed [ 20 ], which is consistent with our present results ( Figure 1 ). In addition, we also found that the HC cubed and W had the best correlations ( Figure 1 ).…”

Section: Discussionsupporting

confidence: 93%

Novel Physique Index for the Screening of Skeletal Dysplasia at Birth

et al. 2021

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This study aimed to devise a novel physique index and investigate its accuracy in identifying newborns with skeletal dysplasia in comparison with head circumference (HC)/height (HT) ratio. The birth weight (W), HT, and HC at birth of 1500 newborns were retrospectively collected. The linear regression equations and coefficients of determination (R2) were determined. The formulated equation was corrected by the mean weight for gestational age at birth (Wcorr) as a novel physique index for screening skeletal dysplasia. The index accuracy was assessed using receiver operating characteristic (ROC) curves in 11 newborns by fetal ultrasound and compared with that of the HC/HT ratio. The R2 values between W and HT, (HT)2, and (HT) 3 were 0.978, 0.990, and 0.993, respectively. Those between W and HC, (HC)2, and (HC)3 were 0.974, 0.984, and 0.988, respectively. W/Wcorr × (HC/HT)3 was used as a novel physique index. Seven newborns had skeletal dysplasia. Our novel physique index had a higher area under the curve (AUC), sensitivity, and specificity than the HC/HT ratio (AUC: 1.00 vs. 0.86, sensitivity: 1.00 vs. 0.86, and specificity: 1.00 vs. 0.75, respectively). Our novel physique index was more accurate than HC/HT ratio and has the potential to accurately identify newborns with skeletal dysplasia.

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Section: Discussionsupporting

confidence: 93%

Novel Physique Index for the Screening of Skeletal Dysplasia at Birth

et al. 2021

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“…The PI is the ratio of mass in grams per length in centimeter 3 and not of mass in kilograms per length in meters [3], like TMI. Although the PI was proposed many years ago, according to various authors, the literature about use of PI or TMI in the first years of life is restricted [9,10,21,22,23,24,25,26,27,28].…”

Section: Discussionmentioning

confidence: 99%

Tri-Ponderal Mass Index: A Screening Tool for Risk of Central Fat Accumulation in Brazilian Preschool Children

et al. 2019

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Background and Objectives: To verify the use of the tri-ponderalmass index (TMI) as a screening tool for risk of central fat accumulation in preschool children. Materials and Methods: An observational, analytical study was carried out on samples from children 2 to 5 years of age. The body mass index (BMI) and the tri-ponderalmass index (TMI: Weight/height3) were calculated. The waist circumference-to-height ratio (WHtR) was used to classify central fat accumulation risk. Preschoolers whose WHtRwas in the upper tertile of the sample were classified as at risk for central fat accumulation. A comparison of the two indicators (BMI and TMI) was made from the area under the receiver operator characteristics (ROC) curve (AUC) in the discrimination of the WHtR. Results: The sample used for analysis was 919 preschoolers. The mean age of the children was 3.9 years (SD = 0.7). The difference in AUC was 5% higher for TMI (p < 0.0001). In the individual analysis of the ROC curve of the TMI, favoring a higher sensitivity, the cutoff point of 14.0 kg/m3 showed a sensitivity of 99.3% (95% CI: 97.6–99.9). Conclusion: Considering WHtR as a marker of possible future metabolic risk among preschool children, TMI proved to be a useful tool, superior to BMI, in screening for risk of central fat accumulation in preschool children.

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“…Gestational-age was determined from the documented due date, if it was available in the medical record, or if not, from maternal recall. Maternal recall of birth measures have proven reliable for both clinical and epidemiological use (42), and our data showed the expected increase in both BW and PI with increasing gestational age from 37 to 42 weeks compared to standard reference populations (38, 43). All participants were interviewed to obtain a medical history.…”

Section: Methodsmentioning

confidence: 50%

“…For the formation of study groups, participants were compared to sex specific reference curves of the ponderal index (PI)-for-gestational age (38). Fourteen were at or below the 10 th percentile of PI-for-gestational age (LOWPI, 2.2±0.1 gm/cm 3 ) and fourteen were in the upper normal range (>10 percentile, HIGHPI, 2.7±0.1 gm/cm 3 ).…”

Section: Methodsmentioning

confidence: 99%

“…To achieve these study goals, twenty-eight college-aged women were recruited to participate in an 8-week strength and resistance training program. Fourteen of these women were identified as falling below the 10 th percentile of the ponderal index (PI)-for-gestational age (38), a cutoff which has relatively high sensitivity and specificity to predict IUGR (39, 40). Fourteen of the women served as age, sex, and physical activity matched controls.…”

Section: Introductionmentioning

confidence: 99%

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Low ponderal index is associated with decreased muscle strength and fatigue resistance in college-aged women

Brutsaert

Tamvada

Kiyamu

et al. 2011

Early Human Development

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Poor fetal growth is associated with decrements in muscle strength likely due to changes during myogenesis. We investigated the association of poor fetal growth with muscle strength, fatigue resistance, and the response to training in the isolated quadriceps femoris. Females (20.6 yrs) born to term but below the 10th percentile of ponderal index (PI)-for-gestational-age (LOWPI, n=14) were compared to controls (HIGHPI, n=14), before and after an 8-week training. Muscle strength was assessed as grip-strength and as the maximal isometric voluntary contraction (MVC) of the quadriceps femoris. Muscle fatigue was assessed during knee extension eercise. Body composition and the maximal oxygen consumption (VO2max) were also measured. Controlling for fat free mass (FFM), LOWPI versus HIGHPI women had ~11% lower grip-strength (P=0.023), 9–24% lower MVC values (P=0.042 pre-trained; P=0.020 post-trained), a higher rate of fatigue (pre- and post-training), and a diminished training response (P=0.016). Statistical control for FFM increased rather than decreased strength differences between PI groups. The PI was not associated with VO2max or measures of body composition. Strength and fatigue decrements strongly suggest that poor fetal growth affects the pathway of muscle force generation. This could be due to neuromotor and/or muscle morphologic changes during development e.g., fiber number, fiber type, etc. Muscle from LOWPI women may also be less responsive to training. Indirectly, results also implicate muscle as a potential mediator between poor fetal growth and adult chronic disease, given muscle’s direct role in determining insulin resistance, type II diabetes, physical activity, and so forth.

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Birth ponderal index and body mass index reference curves in a large population

Cited by 29 publications

References 15 publications

Novel Physique Index for the Screening of Skeletal Dysplasia at Birth

Novel Physique Index for the Screening of Skeletal Dysplasia at Birth

Tri-Ponderal Mass Index: A Screening Tool for Risk of Central Fat Accumulation in Brazilian Preschool Children

Low ponderal index is associated with decreased muscle strength and fatigue resistance in college-aged women

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