Association between body mass index percentile trajectories in infancy and adiposity in childhood and early adulthood

Soyang Kwon*, Kathleen F. Janz, Elena M. Letuchy, Trudy L. Burns, Steven M. Levy

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

Objective: To identify distinct body mass index (BMI) percentile trajectories during early childhood and examine adiposity levels in childhood and early adulthood according to the BMI percentile trajectories. Methods: Iowa Fluoride Study cohort parents (n = 1,093) reported their child's anthropometric data on average six times between ages 0 and 23 months. A subset of the cohort underwent DXA scans at approximately age 8 years (n = 495) and again at approximately age 19 years (n = 314). Group-based trajectory analysis was conducted to identify distinct BMI percentile trajectories from ages 0 to 23 months. Sex-specific age-adjusted linear regression analyses were conducted to compare fat mass index in childhood and early adulthood among subgroups that follow the distinct BMI percentile patterns. Results: Four BMI percentile patterns were identified: consistently low (group 1: 9.8%), increase in the second year (group 2: 33.7%), increase in the first year (group 3: 23.9%), and consistently high (group 4: 32.6%). Compared with group 2 females, groups 3 and 4 females had higher fat mass index in childhood and early adulthood (P < 0.05). However, no significant difference was found in males. Conclusions: Females who experience a steep increase of BMI percentile in the first year of life, as opposed to a steep increase in the second year of life, may have higher body fat later in life, but this was not found in males.

Original languageEnglish (US)
Pages (from-to)166-171
Number of pages6
JournalObesity
Volume25
Issue number1
DOIs
StatePublished - Jan 1 2017

ASJC Scopus subject areas

  • Endocrinology
  • Nutrition and Dietetics
  • Medicine (miscellaneous)
  • Endocrinology, Diabetes and Metabolism

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