O'Keeffe Linda M, Simpkin Andrew J, Tilling Kate, Anderson Emma L, Hughes Alun D, Lawlor Debbie A, Fraser Abigail, Howe Laura D
MRC Integrative Epidemiology Unit at the University of Bristol, UK.
School of Mathematics, Statistics and Applied Mathematics, National University of Ireland, Galway, Ireland, UK.
Data Brief. 2019 Jan 19;23:103687. doi: 10.1016/j.dib.2019.01.035. eCollection 2019 Apr.
Cardiometabolic disease risk begins in early life and tracks through the life course. As described in "Sex-specific trajectories of measures of cardiovascular health during childhood and adolescence: a prospective cohort study" (O'Keeffe et al., 2018), we modelled sex-specific change in 11 key measures of cardiovascular health from birth/early childhood to age 18 years in a British birth cohort study, the Avon Longitudinal Study of Parents and Children (ALSPAC). In this article, we describe the data used in these analyses. Risk factors measured included BMI, fat and lean mass, blood pressure and blood-based biomarkers. Data are from several sources including cord blood at birth, clinic assessments, routine health records, questionnaires and nuclear magnetic resonance spectroscopy. Outcomes were measured over varying time spans from birth or mid-childhood to age 18 and with different numbers of repeated measures per outcome. Analyses were performed using fractional polynomial and linear spline multilevel models. Further information can be found in O'Keeffe et al. (2018).
心血管代谢疾病风险始于生命早期,并贯穿一生。正如《儿童和青少年心血管健康指标的性别特异性轨迹:一项前瞻性队列研究》(奥基夫等人,2018年)中所描述的,在英国一项出生队列研究——阿冯父母与儿童纵向研究(ALSPAC)中,我们对从出生/幼儿期到18岁的11项心血管健康关键指标的性别特异性变化进行了建模。在本文中,我们描述了这些分析中使用的数据。所测量的风险因素包括体重指数、脂肪和瘦体重、血压以及血液生物标志物。数据来自多个来源,包括出生时的脐带血、诊所评估、常规健康记录、问卷调查和核磁共振波谱。结果在从出生或儿童中期到18岁的不同时间跨度内进行测量,每个结果的重复测量次数也不同。分析使用分数多项式和线性样条多级模型进行。更多信息可在奥基夫等人(2018年)的研究中找到。