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Table 2 Characteristics of the three cohort studies included in the trajectory modelling

From: Using linear and natural cubic splines, SITAR, and latent trajectory models to characterise nonlinear longitudinal growth trajectories in cohort studies

Study name

Avon Longitudinal Study of Parents and Children (ALSPAC)

Bone Mineral Density in Childhood Study (BMDCS)

Pediatric Bone Mineral Accrual Study (PBMAS)

Design

birth cohort study (started in 1990–1992)

child cohort study (started in 2002–2003)

child cohort study (started in 1991)

Region and country

catchment area of 3 health authorities in Southwest England, UK

5 USA clinic centres: Los Angeles, New York, Cincinnati, Omaha, Philadelphia

2 elementary schools, Saskatoon, Saskatchewan, Canada

Birth years

1990–1992

1985–1997

1983–1976

Ethnicity

98% white ethnicity

ethnically diverse

95% white ethnicity

DXA device used to measure BMC

Lunar Prodigy

Hologic QDR-4500A

Hologic QDR-2000

Mean age at the baseline/youngest DXA scan (range)

9.9 years (8.8–11.7 years)

10.8 years (6.0–17.0 years)

11.8 years (8.0–15.1 years)

Mean age at last/oldest DXA scan (range)

24.6 years (22.4–26.5 years)

16.1 years (6.9–23.3 years)

37.3 years (34.3–40.2 years)

Frequency and the maximum number of repeated DXA scans

up to 6 repeated scans at mean ages 9.9, 11.7, 13.8, 15.4, 17.8, and 24.6 years

up to 7 yearly repeated scans

Up to 16 repeated scans (1991–1998, 2003–2005, 2007–2011 and 2016–2017)

Individuals included in the analysisa

4007 females

3888 males

488 females

465 males

127 females

112 males

  1. aTrajectory modelling was restricted to white ethnicity individuals