Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2019 Aug;27(8):1323-1330.
doi: 10.1002/oby.22519. Epub 2019 Jun 14.

Neonatal Adipocytokines and Longitudinal Patterns of Childhood Growth

Affiliations

Neonatal Adipocytokines and Longitudinal Patterns of Childhood Growth

Catherine O Buck et al. Obesity (Silver Spring). 2019 Aug.

Abstract

Objective: Adipocytokines are markers of fetal metabolism, but their association with childhood growth is unclear. This study examined associations of neonatal adipocytokines with longitudinal childhood adiposity measures in a prospective cohort of pregnant women and their children.

Methods: Leptin and adiponectin concentrations at delivery and children's BMI z scores between age 4 weeks and 8 years were measured. Differences in BMI z scores and rates of BMI z score change by leptin (n = 257) and adiponectin (n = 271) terciles were estimated.

Results: Children in the middle (mean difference: 0.2; 95% CI: -0.1 to 0.4) and highest (0.4; 95% CI: 0.1 to 0.6) leptin terciles had greater BMI z scores than children in the lowest tercile. Associations were null after adjustment for birth weight z score. Children in the lowest adiponectin tercile had greater gains in BMI z score (change per year: 0.10; 95% CI: 0.08 to 0.13) than children in the middle (0.07; 95% CI: 0.04 to 0.09) and highest terciles (0.04; 95% CI: -0.01 to 0.05) (adiponectin × age interaction P < 0.001).

Conclusions: Lower adiponectin levels were associated with increased rates of BMI gains in the first 8 years of life. Though leptin was positively associated with BMI, this association may be confounded by birth weight.

PubMed Disclaimer

Conflict of interest statement

Disclosure: JMB was financially compensated for serving as an expert witness for plaintiffs in litigation related to tobacco smoke exposures. The remaining authors declared no conflicts of interest.

Figures

Figure 1.
Figure 1.. Estimated child body mass index (BMI) z-scores between age 4 weeks and 8 years by neonatal leptin tercile (N = 257) (The HOME Study, 2003–2006).
Cord serum leptin concentration ranges for each tercile: low (0.2 – 7.1 ng/mL, N = 84), middle (7.2 – 14 ng/mL, N = 85), and high (14 – 95 ng/mL, N = 88). Model was adjusted for maternal race, age, maternal BMI, parity, cotinine concentrations, household income, child age, and child sex. The solid and dashed lines represent estimated mean child BMI z-scores between age 4 weeks and 8 years. Shading represents the 95% confidence intervals.
Figure 2.
Figure 2.. Estimated child body mass index (BMI) z-scores between age 4 weeks and 8 years by neonatal adiponectin tercile (N = 271) (The HOME Study, 2003–2006).
Cord serum adiponectin concentration ranges for each tercile: low (2.2 – 34 μg/mL, N = 86), middle (34 – 49 μg/mL, N = 94), and high (49 – 143 μg/mL, N = 91). Model was adjusted for maternal race, age, maternal BMI, parity, cotinine concentrations, household income, child age, child sex, and adiponectin x age interaction term (P-value for interaction term < 0.001). The solid and dashed lines represent estimated mean child BMI z-scores between age 4 weeks and 8 years. Shading represents the 95% confidence intervals.
Figure 3.
Figure 3.. Estimated child body mass index (BMI) z-scores between age 4 weeks and 8 years by neonatal adiponectin tercile, stratified by child sex: (A) Girls (N = 148) and (B) Boys (N = 123) (The HOME Study, 2003–2006).
Model was adjusted for maternal race, age, maternal BMI, parity, cotinine concentrations, household income, child age, and adiponectin x age interaction term (P-value for interaction term < 0.001 for girls and 0.19 for boys). The solid and dashed lines represent estimated mean child BMI z-scores between age 4 weeks and 8 years. Shading represents the 95% confidence intervals.

Similar articles

Cited by

References

    1. Ebbeling CB, Pawlak DB, Ludwig DS. Childhood obesity: public-health crisis, common sense cure. Lancet. 2002;360(9331):473–82. doi: 10.1016/S0140-6736(02)09678-2. - DOI - PubMed
    1. Ogden CL, Carroll MD, Lawman HG, Fryar CD, Kruszon-Moran D, Kit BK, et al. Trends in Obesity Prevalence Among Children and Adolescents in the United States, 1988–1994 Through 2013–2014. JAMA. 2016;315(21):2292–9. doi: 10.1001/jama.2016.6361. - DOI - PMC - PubMed
    1. Sutton EF, Gilmore LA, Dunger DB, Heijmans BT, Hivert MF, Ling C, et al. Developmental programming: State-of-the-science and future directions-Summary from a Pennington Biomedical symposium. Obesity (Silver Spring). 2016;24(5):1018–26. doi: 10.1002/oby.21487. - DOI - PMC - PubMed
    1. Gaillard R, Welten M, Oddy WH, Beilin LJ, Mori TA, Jaddoe VW, et al. Associations of maternal prepregnancy body mass index and gestational weight gain with cardio-metabolic risk factors in adolescent offspring: a prospective cohort study. BJOG. 2016;123(2):207–16. doi: 10.1111/1471-0528.13700. - DOI - PubMed
    1. Tam CHT, Ma RCW, Yuen LY, Ozaki R, Li AM, Hou Y, et al. The impact of maternal gestational weight gain on cardiometabolic risk factors in children. Diabetologia. 2018;61(12):2539–48. doi: 10.1007/s00125-018-4724-x. - DOI - PMC - PubMed

Publication types