Literature DB >> 15121941

Serum leptin concentration poorly reflects growth and energy and nutrient intake in young children.

Maarit Hakanen1, Tapani Rönnemaa, Sanna Talvia, Leena Rask-Nissilä, Markku Koulu, Jorma Viikari, Matti Bergendahl, Olli Simell.   

Abstract

OBJECTIVE: We studied whether the serum leptin concentration at age 2 years predicts changes in relative body weight by age 8 and whether the serum leptin concentration is associated with intake of energy and nutrients at age 5.
METHODS: A total of 156 8-year-old participants of the Special Turku Coronary Risk Factor Intervention Project were chosen to represent children whose relative weight decreased, was stable, or increased during the preceding 6 years. Their serum leptin concentrations were measured in samples collected when they were 2 years. Serum leptin was also measured in 100 5-year-old children in the Special Turku Coronary Risk Factor Intervention Project whose energy and nutrient intakes were analyzed using 4-day food records.
RESULTS: The boys whose relative weight decreased (n = 25), was stable (n = 28), or increased (n = 26) between 2 and 8 years of age had similar serum leptin concentrations at the age of 2 years. The girls whose relative weight decreased (n = 27) had higher serum leptin concentrations at 2 years than the girls whose relative weight remained stable (n = 26) but only when the leptin values were not adjusted for body mass index. The serum leptin concentration was higher in 5-year-old girls than in 5-year-old boys even when adjusted for body mass index. Serum leptin correlated with relative weight in girls and boys (r = 0.65 and r = 0.45, respectively). Serum leptin concentration adjusted for relative weight correlated poorly with intakes of energy, fat, saturated fat, carbohydrates, sucrose, and protein.
CONCLUSIONS: Serum leptin concentrations at age 2 poorly predicted changes in relative body weight during the following 6 years and poorly reflected the intake of energy or major nutrients at age 5.

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Year:  2004        PMID: 15121941     DOI: 10.1542/peds.113.5.1273

Source DB:  PubMed          Journal:  Pediatrics        ISSN: 0031-4005            Impact factor:   7.124


  3 in total

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Review 2.  A novel approach to the study of pediatric obesity: a biomarker model.

Authors:  Shari Barkin; Yamini Rao; Padget Smith; Eli Po'e
Journal:  Pediatr Ann       Date:  2012-06       Impact factor: 1.132

3.  Metabolic Setup and Risks in Obese Children.

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Journal:  J Med Biochem       Date:  2014-10-08       Impact factor: 3.402

  3 in total

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