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出生时的胎龄和婴儿期到青春期的身体大小:16 项出生队列研究中 253810 名单胎个体的个体参与者数据荟萃分析。

Gestational age at birth and body size from infancy through adolescence: An individual participant data meta-analysis on 253,810 singletons in 16 birth cohort studies.

机构信息

Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.

Population Health Science, Bristol Medical School, Bristol, United Kingdom.

出版信息

PLoS Med. 2023 Jan 26;20(1):e1004036. doi: 10.1371/journal.pmed.1004036. eCollection 2023 Jan.

DOI:10.1371/journal.pmed.1004036
PMID:36701266
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9879424/
Abstract

BACKGROUND

Preterm birth is the leading cause of perinatal morbidity and mortality and is associated with adverse developmental and long-term health outcomes, including several cardiometabolic risk factors and outcomes. However, evidence about the association of preterm birth with later body size derives mainly from studies using birth weight as a proxy of prematurity rather than an actual length of gestation. We investigated the association of gestational age (GA) at birth with body size from infancy through adolescence.

METHODS AND FINDINGS

We conducted a two-stage individual participant data (IPD) meta-analysis using data from 253,810 mother-child dyads from 16 general population-based cohort studies in Europe (Denmark, Finland, France, Italy, Norway, Portugal, Spain, the Netherlands, United Kingdom), North America (Canada), and Australasia (Australia) to estimate the association of GA with body mass index (BMI) and overweight (including obesity) adjusted for the following maternal characteristics as potential confounders: education, height, prepregnancy BMI, ethnic background, parity, smoking during pregnancy, age at child's birth, gestational diabetes and hypertension, and preeclampsia. Pregnancy and birth cohort studies from the LifeCycle and the EUCAN-Connect projects were invited and were eligible for inclusion if they had information on GA and minimum one measurement of BMI between infancy and adolescence. Using a federated analytical tool (DataSHIELD), we fitted linear and logistic regression models in each cohort separately with a complete-case approach and combined the regression estimates and standard errors through random-effects study-level meta-analysis providing an overall effect estimate at early infancy (>0.0 to 0.5 years), late infancy (>0.5 to 2.0 years), early childhood (>2.0 to 5.0 years), mid-childhood (>5.0 to 9.0 years), late childhood (>9.0 to 14.0 years), and adolescence (>14.0 to 19.0 years). GA was positively associated with BMI in the first decade of life, with the greatest increase in mean BMI z-score during early infancy (0.02, 95% confidence interval (CI): 0.00; 0.05, p < 0.05) per week of increase in GA, while in adolescence, preterm individuals reached similar levels of BMI (0.00, 95% CI: -0.01; 0.01, p 0.9) as term counterparts. The association between GA and overweight revealed a similar pattern of association with an increase in odds ratio (OR) of overweight from late infancy through mid-childhood (OR 1.01 to 1.02) per week increase in GA. By adolescence, however, GA was slightly negatively associated with the risk of overweight (OR 0.98 [95% CI: 0.97; 1.00], p 0.1) per week of increase in GA. Although based on only four cohorts (n = 32,089) that reached the age of adolescence, data suggest that individuals born very preterm may be at increased odds of overweight (OR 1.46 [95% CI: 1.03; 2.08], p < 0.05) compared with term counterparts. Findings were consistent across cohorts and sensitivity analyses despite considerable heterogeneity in cohort characteristics. However, residual confounding may be a limitation in this study, while findings may be less generalisable to settings in low- and middle-income countries.

CONCLUSIONS

This study based on data from infancy through adolescence from 16 cohort studies found that GA may be important for body size in infancy, but the strength of association attenuates consistently with age. By adolescence, preterm individuals have on average a similar mean BMI to peers born at term.

摘要

背景

早产是围产期发病率和死亡率的主要原因,与不良发育和长期健康结果相关,包括多种心血管代谢危险因素和结果。然而,关于早产与后来的体型之间关联的证据主要来自于使用出生体重作为早产替代指标而不是实际妊娠期的研究。我们研究了出生时的胎龄(GA)与婴儿期至青春期的体型之间的关系。

方法和发现

我们使用来自欧洲(丹麦、芬兰、法国、意大利、挪威、葡萄牙、西班牙、荷兰、英国)、北美(加拿大)和澳大拉西亚(澳大利亚)的 16 项基于一般人群的队列研究中 253810 对母婴对的数据进行了两阶段个体参与者数据(IPD)荟萃分析,以估计 GA 与体重指数(BMI)和超重(包括肥胖)的关系,调整了以下潜在混杂因素的母体特征:教育程度、身高、孕前 BMI、种族背景、产次、孕期吸烟、儿童出生年龄、妊娠期糖尿病和高血压、子痫前期。邀请了来自 LifeCycle 和 EUCAN-Connect 项目的妊娠和出生队列研究,如果他们有关于 GA 和婴儿期至青春期之间至少一次 BMI 测量的信息,则有资格纳入。使用联邦分析工具(DataSHIELD),我们分别在每个队列中使用完全案例方法拟合线性和逻辑回归模型,并通过随机效应研究水平荟萃分析合并回归估计值和标准误差,提供早期婴儿期(> 0.0 至 0.5 岁)、晚期婴儿期(> 0.5 至 2.0 岁)、幼儿期(> 2.0 至 5.0 岁)、中期儿童期(> 5.0 至 9.0 岁)、晚期儿童期(> 9.0 至 14.0 岁)和青春期(> 14.0 至 19.0 岁)的总体效果估计值。GA 与生命早期的 BMI 呈正相关,GA 每周增加一周,平均 BMI z 分数增加最大(0.02,95%置信区间(CI):0.00;0.05,p < 0.05),而在青春期,早产儿达到与足月同龄人相似的 BMI 水平(0.00,95%CI:-0.01;0.01,p 0.9)。GA 与超重之间的关联呈现出相似的关联模式,随着 GA 每周增加一周,超重的优势比(OR)从晚期婴儿期到中期儿童期增加(OR 1.01 至 1.02)。然而,到了青春期,GA 与超重的风险略有负相关(OR 0.98 [95%CI:0.97;1.00],p 0.1),GA 每周增加一周。尽管只有四个队列(n = 32089)达到了青春期,但数据表明,与足月同龄人相比,极早产儿超重的可能性更高(OR 1.46 [95%CI:1.03;2.08],p < 0.05)。尽管存在相当大的队列特征异质性,但这些发现在队列之间和敏感性分析中是一致的。然而,本研究可能存在残余混杂的局限性,同时研究结果可能不太适用于中低收入国家的情况。

结论

这项基于 16 项队列研究从婴儿期到青春期的数据的研究发现,GA 可能对婴儿期的体型很重要,但随着年龄的增长,关联的强度会逐渐减弱。到青春期时,早产儿的平均 BMI 与足月同龄人相似。

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