Modeling environment through a general exposome factor in two independent adolescent cohorts.
Modeling environment through a general exposome factor in two independent adolescent cohorts.
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DOI：
10.1093/exposome/osac010
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发表时间：
2022
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暴露于围产期，家庭，社会和物理环境的刺激可以对人类发育产生重大影响。我们的目标是生成一个单一的措施，捕捉的复杂网络结构的环境（即麻烦）使用多层次数据（参与者报告、家长报告和地理编码测量）（主要来自心理社会环境）在两个独立的青少年队列：青少年大脑认知发展研究（ABCD研究，N = 11235;平均年龄，10.9岁; 47.7%女性）和费城神经发育队列（PNC，N = 4993）的年龄和性别匹配样本。我们在ABCD研究中进行了一系列数据驱动的迭代因子分析和双因子建模，将348个环境变量的维度减少到6个正交的麻烦子因子和一个一般（不利）麻烦因子。一般危险因素与总体精神病理学（B = 0.28，95%CI，0.26-0.3）和关键健康相关结局相关：肥胖（比值比[OR]，1.4; 95%CI，1.3-1.5）和青春期发育提前（OR，1.3; 95%CI，1.2-1.5）。PNC中的类似方法将环境的维度从29个变量减少到4个麻烦的子因素和一个一般麻烦的因素。PNC分析显示，一般性麻烦因素与精神病理学（B = 0.15; 95% CI，0.13-0.17）、肥胖（OR，1.4; 95% CI，1.3-1.6）和青春期发育提前（OR，1.3; 95% CI，1-1.6）有一致的相关性。在这两个队列中，与仅依赖人口统计学和父母教育的模型相比，纳入麻烦因素大大增加了整体精神病理学解释的方差（ABCD<4% to >为38%; <4% to >PNC为18.5%）。研究结果表明，一个一般的麻烦因素捕捉多层次的环境暴露可以推导出来，并可以始终解释青年的心理和一般健康的差异。
Exposures to perinatal, familial, social, and physical environmental stimuli can have substantial effects on human development. We aimed to generate a single measure that capture’s the complex network structure of the environment (ie, exposome) using multi-level data (participant’s report, parent report, and geocoded measures) of environmental exposures (primarily from the psychosocial environment) in two independent adolescent cohorts: The Adolescent Brain Cognitive Development Study (ABCD Study, N = 11 235; mean age, 10.9 years; 47.7% females) and an age- and sex-matched sample from the Philadelphia Neurodevelopmental Cohort (PNC, N = 4993). We conducted a series of data-driven iterative factor analyses and bifactor modeling in the ABCD Study, reducing dimensionality from 348 variables tapping to environment to six orthogonal exposome subfactors and a general (adverse) exposome factor. The general exposome factor was associated with overall psychopathology (B = 0.28, 95% CI, 0.26-0.3) and key health-related outcomes: obesity (odds ratio [OR] , 1.4; 95% CI, 1.3-1.5) and advanced pubertal development (OR, 1.3; 95% CI, 1.2-1.5). A similar approach in PNC reduced dimensionality of environment from 29 variables to 4 exposome subfactors and a general exposome factor. PNC analyses yielded consistent associations of the general exposome factor with psychopathology (B = 0.15; 95% CI, 0.13-0.17), obesity (OR, 1.4; 95% CI, 1.3-1.6), and advanced pubertal development (OR, 1.3; 95% CI, 1-1.6). In both cohorts, inclusion of exposome factors greatly increased variance explained in overall psychopathology compared with models relying solely on demographics and parental education (from <4% to >38% in ABCD; from <4% to >18.5% in PNC). Findings suggest that a general exposome factor capturing multi-level environmental exposures can be derived and can consistently explain variance in youth’s mental and general health.