Diabetes care · 2009
Early life programming of abdominal adiposity in adolescents: The HELENA Study.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
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Labayen Idoia, Ruiz Jonatan R, Vicente-Rodríguez Germán, Turck Dominique, Rodríguez Gerardo, Meirhaeghe Aline, Molnár Denes, Sjöström Michael, Castillo Manuel J, Gottrand Frederic, Moreno Luis A, Healthy Lifestyle in Europe by Nutrition in Adolescence (HELENA) Study Group
Аннотация
OBJECTIVE: To examine the relationship between birth weight and abdominal adiposity in adolescents.
RESEARCH DESIGN AND METHODS: A total of 284 adolescents (49.3% of whom were female) aged 14.9 +/- 1.2 years were included in the study. Birth weight and gestational age were obtained from parental records. Abdominal adiposity (in three regions: R1, R2, and R3) and trunk and total body fat mass were measured by dual-energy X-ray absorptiometry. Regional fat mass indexes (FMIs) were thereafter calculated as fat mass divided by the square of height (Trunk FMI and abdominal FMI R1, R2, and R3).
RESULTS: Birth weight was negatively associated with abdominal FMI R1, R2, and R3 independently of total fat mass, gestational age, sex, breast-feeding duration, pubertal stage, physical activity, and socioeconomic status (all P < 0.01).
CONCLUSIONS: Our study shows an inverse association between birth weight and abdominal adiposity in adolescents independently of total fat mass and other potential confounders. These findings suggest that fetal nutrition, as reflected by birth weight, may have a programming effect on abdominal adiposity later in life.
RESEARCH DESIGN AND METHODS: A total of 284 adolescents (49.3% of whom were female) aged 14.9 +/- 1.2 years were included in the study. Birth weight and gestational age were obtained from parental records. Abdominal adiposity (in three regions: R1, R2, and R3) and trunk and total body fat mass were measured by dual-energy X-ray absorptiometry. Regional fat mass indexes (FMIs) were thereafter calculated as fat mass divided by the square of height (Trunk FMI and abdominal FMI R1, R2, and R3).
RESULTS: Birth weight was negatively associated with abdominal FMI R1, R2, and R3 independently of total fat mass, gestational age, sex, breast-feeding duration, pubertal stage, physical activity, and socioeconomic status (all P < 0.01).
CONCLUSIONS: Our study shows an inverse association between birth weight and abdominal adiposity in adolescents independently of total fat mass and other potential confounders. These findings suggest that fetal nutrition, as reflected by birth weight, may have a programming effect on abdominal adiposity later in life.