Development of a pediatric body mass index using longitudinal single-index models

Jingwei Wu, Wanzhu Tu

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

As a measure of human adiposity, the body mass index, defined as weight/height2, has been widely used in clinical investigations. For children undergoing pubertal development, whether this function of height and weight represents an optimal way of quantifying body mass for assessing of specific health outcomes has not been carefully studied. In this study, we propose an alternative pediatric body mass measure for prediction of blood pressure based on recorded height and weight data using single-index modeling techniques. Specifically, we present a general form of partially linear single-index mixed effect models for the determination of this new metric. A methodological contribution of this research is the development of an efficient algorithm for the fitting of a general class of partially linear single-index models in longitudinal data situations. The proposed model and related model fitting algorithm are easily implementable in most computational platforms. Simulation demonstrates superior performance of the new method, as compared to the standard body mass index measure. Using the proposed method, we explore an alternative body mass measure for the prediction of blood pressure in children. The method is potentially useful for the construction of other indices for specific investigations.

Original languageEnglish (US)
Pages (from-to)872-884
Number of pages13
JournalStatistical Methods in Medical Research
Volume25
Issue number2
DOIs
StatePublished - 2012

Fingerprint

Single-index Model
Pediatrics
Body Weights and Measures
Body Mass Index
Weights and Measures
Blood Pressure
Adiposity
Human Body
Mixed Effects Model
Prediction
Model Fitting
Alternatives
Longitudinal Data
Health
Linear Model
Research
Efficient Algorithms
Metric
Modeling
Demonstrate

Keywords

  • Adiposity measurement
  • body mass index
  • cubic spline
  • mixed effect model
  • penalized nonlinear least square
  • repeated measures

ASJC Scopus subject areas

  • Epidemiology
  • Health Information Management
  • Statistics and Probability

Cite this

Development of a pediatric body mass index using longitudinal single-index models. / Wu, Jingwei; Tu, Wanzhu.

In: Statistical Methods in Medical Research, Vol. 25, No. 2, 2012, p. 872-884.

Research output: Contribution to journalArticle

@article{de4836a6ef8e43818d998c490759b9d8,
title = "Development of a pediatric body mass index using longitudinal single-index models",
abstract = "As a measure of human adiposity, the body mass index, defined as weight/height2, has been widely used in clinical investigations. For children undergoing pubertal development, whether this function of height and weight represents an optimal way of quantifying body mass for assessing of specific health outcomes has not been carefully studied. In this study, we propose an alternative pediatric body mass measure for prediction of blood pressure based on recorded height and weight data using single-index modeling techniques. Specifically, we present a general form of partially linear single-index mixed effect models for the determination of this new metric. A methodological contribution of this research is the development of an efficient algorithm for the fitting of a general class of partially linear single-index models in longitudinal data situations. The proposed model and related model fitting algorithm are easily implementable in most computational platforms. Simulation demonstrates superior performance of the new method, as compared to the standard body mass index measure. Using the proposed method, we explore an alternative body mass measure for the prediction of blood pressure in children. The method is potentially useful for the construction of other indices for specific investigations.",
keywords = "Adiposity measurement, body mass index, cubic spline, mixed effect model, penalized nonlinear least square, repeated measures",
author = "Jingwei Wu and Wanzhu Tu",
year = "2012",
doi = "10.1177/0962280212471470",
language = "English (US)",
volume = "25",
pages = "872--884",
journal = "Statistical Methods in Medical Research",
issn = "0962-2802",
publisher = "SAGE Publications Ltd",
number = "2",

}

TY - JOUR

T1 - Development of a pediatric body mass index using longitudinal single-index models

AU - Wu, Jingwei

AU - Tu, Wanzhu

PY - 2012

Y1 - 2012

N2 - As a measure of human adiposity, the body mass index, defined as weight/height2, has been widely used in clinical investigations. For children undergoing pubertal development, whether this function of height and weight represents an optimal way of quantifying body mass for assessing of specific health outcomes has not been carefully studied. In this study, we propose an alternative pediatric body mass measure for prediction of blood pressure based on recorded height and weight data using single-index modeling techniques. Specifically, we present a general form of partially linear single-index mixed effect models for the determination of this new metric. A methodological contribution of this research is the development of an efficient algorithm for the fitting of a general class of partially linear single-index models in longitudinal data situations. The proposed model and related model fitting algorithm are easily implementable in most computational platforms. Simulation demonstrates superior performance of the new method, as compared to the standard body mass index measure. Using the proposed method, we explore an alternative body mass measure for the prediction of blood pressure in children. The method is potentially useful for the construction of other indices for specific investigations.

AB - As a measure of human adiposity, the body mass index, defined as weight/height2, has been widely used in clinical investigations. For children undergoing pubertal development, whether this function of height and weight represents an optimal way of quantifying body mass for assessing of specific health outcomes has not been carefully studied. In this study, we propose an alternative pediatric body mass measure for prediction of blood pressure based on recorded height and weight data using single-index modeling techniques. Specifically, we present a general form of partially linear single-index mixed effect models for the determination of this new metric. A methodological contribution of this research is the development of an efficient algorithm for the fitting of a general class of partially linear single-index models in longitudinal data situations. The proposed model and related model fitting algorithm are easily implementable in most computational platforms. Simulation demonstrates superior performance of the new method, as compared to the standard body mass index measure. Using the proposed method, we explore an alternative body mass measure for the prediction of blood pressure in children. The method is potentially useful for the construction of other indices for specific investigations.

KW - Adiposity measurement

KW - body mass index

KW - cubic spline

KW - mixed effect model

KW - penalized nonlinear least square

KW - repeated measures

UR - http://www.scopus.com/inward/record.url?scp=84964225194&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84964225194&partnerID=8YFLogxK

U2 - 10.1177/0962280212471470

DO - 10.1177/0962280212471470

M3 - Article

C2 - 23302518

AN - SCOPUS:84964225194

VL - 25

SP - 872

EP - 884

JO - Statistical Methods in Medical Research

JF - Statistical Methods in Medical Research

SN - 0962-2802

IS - 2

ER -