避开这些婴儿危险因素,你的孩子会更健康!
创作:Epi汪 审核:Epi汪 2020年11月27日
  • 纳入1038对母婴队列,记录婴儿生命早期1000天内的6个危险因素,包括孕期吸烟、孕期增重过多、孕期含糖饮料摄入、母乳期小于12个月、辅食引入时间<4个月及婴儿睡眠时间小于12小时/天;
  • 队列中有71%的婴儿拥有1个以上的危险因素;
  • 随着危险因素的增多,青少年期BMI、体质指数、代谢综合征指数均呈增高趋势;
  • 拥有5-6个危险因素的儿童,其未来超重/肥胖的风险增高2.53倍,而代谢综合征风险增高2.46倍。
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Epi汪
肥胖及代谢综合征问题一直备受关注,而预防这些问题的策略之一是从小杜绝一些危险因素。基于此,本研究探索了6个较为“公认”的儿童早期危险因素与其青春期肥胖及代谢综合征风险的关联。本研究结果提示,预防肥胖,从娃娃抓起。
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Longitudinal associations of modifiable risk factors in the first 1000 days with weight status and metabolic risk in early adolescence

在婴儿生命前1000天可改变的危险因素与青少年期体重状态、代谢疾病风险的长期关联

10.1093/ajcn/nqaa297

2020-11-12, Article

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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.

First Authors:
Jiajin Hu

Correspondence Authors:
Izzuddin M Aris

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

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