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一种无假设方法用于识别学年中相对年龄的潜在影响:英国生物银行中的一项工具变量全表型关联研究

A hypothesis-free approach to identifying potential effects of relative age in school year: an instrumental variable phenome-wide association study in the UK Biobank.

作者信息

de Lange Melanie A, Davies Neil M, Millard Louise A C, Tilling Kate

机构信息

MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, United Kingdom.

Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.

出版信息

Am J Epidemiol. 2025 Jun 3;194(6):1673-1680. doi: 10.1093/aje/kwae331.

DOI:10.1093/aje/kwae331
PMID:39218436
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12133288/
Abstract

A child's relative age within their school year ("relative age") is associated with educational attainment and mental health. However, hypothesis-driven studies often re-examine the same outcomes and exposure, potentially leading to confirmation and reporting biases and missing unknown effects. Hypothesis-free outcome-wide analyses can potentially overcome these limitations. We conducted a hypothesis-free investigation of the effects of relative age within school year. We performed an instrumental variable (IV) phenome-wide association study in the UK Biobank (participants aged 40-69 years at baseline), using the PHESANT software package. We created 2 IVs for relative age: being born in September vs August (n = 64 075) and week of birth (n = 383 309). Outcomes passing the Bonferroni-corrected P value threshold for either instrument were plotted to identify a discontinuity at the school year transition. Thirteen traits associated with at least 1 of the instruments showed a discontinuity. Previously identified effects included those with a younger relative age being less likely to have educational qualifications and more likely to have started smoking at a younger age. We detected a few associations not explored by previous studies. For example, those of younger relative age had better lung function as adults. Hypothesis-free approaches could help address confirmation and reporting biases in epidemiology.

摘要

儿童在学年内的相对年龄(“相对年龄”)与教育成就和心理健康相关。然而,假设驱动的研究往往会重新审视相同的结果和暴露因素,这可能导致确认偏差和报告偏差,并遗漏未知效应。无假设的全结果分析有可能克服这些局限性。我们对学年内相对年龄的影响进行了一项无假设调查。我们在英国生物银行(基线年龄为40 - 69岁的参与者)中使用PHESANT软件包进行了一项工具变量(IV)全表型关联研究。我们为相对年龄创建了两个工具变量:9月出生与8月出生(n = 64075)以及出生周数(n = 383309)。绘制通过任一工具的Bonferroni校正P值阈值的结果,以识别学年过渡时的不连续性。与至少一个工具变量相关的13个性状显示出不连续性。先前确定的影响包括相对年龄较小的人获得教育资格的可能性较小,以及在较年轻时开始吸烟的可能性较大。我们发现了一些先前研究未探讨的关联。例如,相对年龄较小的人成年后肺功能更好。无假设方法有助于解决流行病学中的确认偏差和报告偏差。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5781/12133288/73d896af2116/kwae331f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5781/12133288/73d896af2116/kwae331f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5781/12133288/73d896af2116/kwae331f1.jpg

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本文引用的文献

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Dialling back 'impact' claims: researchers should not be compelled to make policy claims based on single studies.淡化“影响”主张:不应强迫研究人员基于单一研究提出政策主张。
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PLoS Genet. 2019 Oct 31;15(10):e1008353. doi: 10.1371/journal.pgen.1008353. eCollection 2019 Oct.
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Association of Relative Age in the School Year With Diagnosis of Intellectual Disability, Attention-Deficit/Hyperactivity Disorder, and Depression.学年中的相对年龄与智力残疾、注意力缺陷/多动障碍和抑郁症诊断之间的关联。
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Searching for the causal effects of body mass index in over 300 000 participants in UK Biobank, using Mendelian randomization.在 UK Biobank 中超过 300000 名参与者中,使用孟德尔随机化搜索体重指数的因果效应。
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