A discussion of statistical methods to characterise early growth and its impact on bone mineral content later in childhood.

Anthropometry / methods Bone Density Child Child, Preschool Female Humans Infant Infant, Newborn Male Models, Biological Models, Statistical Pregnancy Pregnancy Trimester, First Pregnancy Trimester, Second Pregnancy Trimester, Third

Growth mixture models SITAR lifecourse epidemiology linear spline models multilevel models

Journal

Annals of human biology

ISSN: 1464-5033

Titre abrégé: Ann Hum Biol

Pays: England

ID NLM: 0404024

Informations de publication

Date de publication:
Feb 2019

Historique:

pubmed: 6 2 2019

medline: 13 7 2019

entrez: 6 2 2019

Statut: ppublish

Résumé

Many statistical methods are available to model longitudinal growth data and relate derived summary measures to later outcomes. To apply and compare commonly used methods to a realistic scenario including pre- and postnatal data, missing data, and confounders. Data were collected from 753 offspring in the Southampton Women's Survey with measurements of bone mineral content (BMC) at age 6 years. Ultrasound measures included crown-rump length (11 weeks' gestation) and femur length (19 and 34 weeks' gestation); postnatally, infant length (birth, 6 and 12 months) and height (2 and 3 years) were measured. A residual growth model, two-stage multilevel linear spline model, joint multilevel linear spline model, SITAR and a growth mixture model were used to relate growth to 6-year BMC. Results from the residual growth, two-stage and joint multilevel linear spline models were most comparable: an increase in length at all ages was positively associated with BMC, the strongest association being with later growth. Both SITAR and the growth mixture model demonstrated that length was positively associated with BMC. Similarities and differences in results from a variety of analytic strategies need to be understood in the context of each statistical methodology.

Sections du résumé

BACKGROUND BACKGROUND

Many statistical methods are available to model longitudinal growth data and relate derived summary measures to later outcomes.

AIM OBJECTIVE

To apply and compare commonly used methods to a realistic scenario including pre- and postnatal data, missing data, and confounders.

SUBJECTS AND METHODS METHODS

Data were collected from 753 offspring in the Southampton Women's Survey with measurements of bone mineral content (BMC) at age 6 years. Ultrasound measures included crown-rump length (11 weeks' gestation) and femur length (19 and 34 weeks' gestation); postnatally, infant length (birth, 6 and 12 months) and height (2 and 3 years) were measured. A residual growth model, two-stage multilevel linear spline model, joint multilevel linear spline model, SITAR and a growth mixture model were used to relate growth to 6-year BMC.

RESULTS RESULTS

Results from the residual growth, two-stage and joint multilevel linear spline models were most comparable: an increase in length at all ages was positively associated with BMC, the strongest association being with later growth. Both SITAR and the growth mixture model demonstrated that length was positively associated with BMC.

CONCLUSIONS CONCLUSIONS

Similarities and differences in results from a variety of analytic strategies need to be understood in the context of each statistical methodology.

Identifiants

DOI: 10.1080/03014460.2019.1574896 PMID: 30719940 PMC: PMC6518455

pubmed: 30719940

doi: 10.1080/03014460.2019.1574896

pmc: PMC6518455

mid: EMS82397

doi:

Types de publication

Journal Article

Langues

eng