Longitudinal associations of modifiable risk factors in the first 1000 days with weight status and metabolic risk in early adolescence

Jiajin Hu; Izzuddin M Aris; Pi-I D Lin; Sheryl L Rifas-Shiman; Wei Perng; Jennifer A Woo Baidal; Deliang Wen; Emily Oken

doi:10.1093/ajcn/nqaa297

Longitudinal associations of modifiable risk factors in the first 1000 days with weight status and metabolic risk in early adolescence

Am J Clin Nutr. 2021 Jan 4;113(1):113-122. doi: 10.1093/ajcn/nqaa297.

Authors

Jiajin Hu^{1

2

3}, Izzuddin M Aris³, Pi-I D Lin³, Sheryl L Rifas-Shiman³, Wei Perng⁴, Jennifer A Woo Baidal⁵, Deliang Wen¹, Emily Oken^{3

6}

Affiliations

¹ Institute of Health Sciences, China Medical University, Shenyang, Liaoning, China.
² Research Center of China Medical University Birth Cohort, China Medical University, Shenyang, Liaoning, China.
³ Division of Chronic Disease Research across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
⁴ Department of Epidemiology, Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
⁵ Division of Pediatric Gastroenterology, Hepatology, and Nutrition, Department of Pediatrics, Columbia University and New York-Presbyterian Morgan Stanley Children's Hospital, New York, NY, USA.
⁶ Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA.

Abstract

Background: Many studies have identified early-life risk factors for childhood overweight/obesity (OwOb), but few have evaluated how they combine to influence later cardiometabolic health.

Objectives: We aimed to examine the association of risk factors in the first 1000 d with adiposity and cardiometabolic risk in early adolescence.

Methods: We studied 1038 mother-child pairs in Project Viva. We chose 6 modifiable early-life risk factors previously associated with child adiposity or metabolic health in the cohort: smoking during pregnancy (yes compared with no); gestational weight gain (excessive compared with nonexcessive); sugar-sweetened beverage consumption during pregnancy (≥0.5 compared with <0.5 servings/d); breastfeeding duration (<12 compared with ≥12 mo); timing of complementary food introduction (<4 compared with ≥4 mo); and infant sleep duration (<12 compared with ≥12 h/d). We computed risk factor scores by calculating the cumulative number of risk factors for each child. In early adolescence (median: 13.1 y) we measured indicators of adiposity [BMI, fat mass index (FMI), trunk fat mass index (TFMI)]. We also calculated OwOb prevalence and metabolic syndrome (MetS) risk z score of adolescents.

Results: Among 1038 adolescents, 71% had >1 early-life risk factor. In covariate-adjusted models, we observed positive monotonic increases in BMI, FMI, TFMI, and MetS z scores with increasing risk factor score. Children with 5‒6 risk factors (compared with 0-1 risk factors) had the highest risk of OwOb [risk ratio (RR): 2.53; 95% CI: 1.63, 3.91] and being in the highest MetS quartile (RR: 2.46; 95% CI: 1.43, 4.21). The predicted probability of OwOb in adolescence varied from 9.4% (favorable levels for all factors) to 63.6% (adverse levels for all factors), and for being in the highest MetS quartile from 9.6% to 56.6%.

Conclusions: Early-life risk factors in the first 1000 d cumulatively predicted higher adiposity and cardiometabolic risk in early adolescence. Intervention strategies to prevent later obesity and cardiometabolic risk may be more effective if they concurrently target multiple modifiable factors.

Keywords: adolescence; body composition; early-life risk factors; metabolic risk; obesity.

Abstract

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