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Birth Weight Physical Morbidity and Mortality: A Population-based Sibling-Comparison Study

机译:出生体重身体发病率和死亡率:基于人群的同胞比较研究

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摘要

Associations between low birth weight (≤2,500 g) and increased risk of mortality and morbidity provided the foundation for the “developmental origins of health and disease” hypothesis. Previous between-family studies could not control for unmeasured confounders. Therefore, we compared differentially exposed siblings to estimate the extent to which the associations were due to uncontrolled factors. Our population cohort included 3,291,773 persons born in Sweden from 1973 to 2008. Analyses controlled for gestational age, among other covariates, and considered birth weight as both an ordinal and a continuous variable. Outcomes included mortality after 1 year, cardiac-related death, hypertension, ischemic heart disease, pulmonary circulation problems, stroke, and type 2 diabetes mellitus. We fitted fixed-effects models to compare siblings and conducted sensitivity analyses to test alternative explanations. Across the population, the lower the birth weight, the greater the risk of mortality (e.g., cardiac-related death (low birth weight hazard ratio = 2.69, 95% confidence interval: 2.05, 3.53)) and morbidity (e.g., type 2 diabetes mellitus (low birth weight hazard ratio = 1.79, 95% confidence interval: 1.50, 2.14)) outcomes in comparison with normal birth weight. All associations were independent of shared familial confounders and measured covariates. Results emphasize the importance of birth weight as a risk factor for subsequent mortality and morbidity.
机译:低出生体重(≤2,500g)与死亡和发病风险增加之间的关联为“健康和疾病的发展起源”假说奠定了基础。以前的家庭间研究无法控制无法衡量的混杂因素。因此,我们比较了差异暴露的兄弟姐妹,以估计关联是由于不受控制的因素导致的程度。我们的人口队列包括1973年至2008年在瑞典出生的3,291,773人。控制胎龄的分析以及其他协变量,并且将出生体重视为有序变量和连续变量。结果包括1年后的死亡率,与心脏有关的死亡,高血压,缺血性心脏病,肺循环问题,中风和2型糖尿病。我们安装了固定效应模型来比较兄弟姐妹,并进行敏感性分析以测试替代解释。在整个人群中,出生体重越低,死亡(例如与心脏相关的死亡(出生体重低的危险比= 2.69,95%置信区间:2.05,3.53))的风险和发病率(例如2型糖尿病)的风险就越大。与正常出生体重相比的结果(低出生体重危险比= 1.79,95%置信区间:1.50,2.14))。所有关联均独立于共同的家族混杂因素和测量的协变量。结果强调了出生体重作为随后死亡和发病的危险因素的重要性。

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