Department of Anthropology, University of California Santa Barbara, Santa Barbara, CA, United States of America.
Department of Anthropology, University of New Mexico, Albuquerque, NM, United States of America.
PLoS One. 2019 Apr 17;14(4):e0214965. doi: 10.1371/journal.pone.0214965. eCollection 2019.
Anthropometric measures are commonly converted to age stratified z-scores to examine variation in growth outcomes in mixed-age and sex samples. For many study populations, z-scores will differ if calculated from World Health Organization (WHO) growth standards or within-population references. The specific growth reference used may influence statistical estimates of growth outcomes and their determinants, with implications for biological inference. We examined factors associated with growth outcomes in a sample of 152 Tsimane children aged 0-36 months. The Tsimane are a subsistence-scale population in the Bolivian Amazon with high rates of infectious disease and growth faltering. To examine the influence of growth reference on statistical inferences, we constructed multiple plausible models from available infant, maternal, and household attributes. We then ran identical models for height-for-age (HAZ), weight-for-age (WAZ), and weight-for-height (WHZ), with z-scores alternately calculated from WHO and robust Tsimane Lambda-Mu-Sigma growth curves. The distribution of WHO relative to Tsimane HAZ scores was negatively skewed, reflecting age-related increases in lower HAZ. Standardized coefficients and significance levels generally agreed across WHO and Tsimane models, although the strength and significance of specific terms varied in some models. Age was strongly, negatively associated with HAZ and WAZ in nearly all WHO, but not Tsimane models, resulting in consistently higher R2 estimates. Age and weaning effects were confounded in WHO models. Biased estimates of determinants associated with WHO HAZ may be more extreme in small samples and for variables that are strongly age-patterned. Additional methodological considerations may be warranted when applying WHO standards to within-population studies, particularly for populations with growth patterns known to systematically deviate from those of the WHO reference sample.
人体测量学指标通常转换为按年龄分层的 z 分数,以检查混合年龄和性别的样本中生长结果的变化。对于许多研究人群,如果根据世界卫生组织(WHO)生长标准或人群内参考值计算,z 分数将有所不同。所使用的特定生长参考可能会影响生长结果及其决定因素的统计估计,从而对生物学推断产生影响。我们检查了 152 名 Tsimane 儿童(0-36 个月)样本中与生长结果相关的因素。Tsimane 是玻利维亚亚马逊地区以生计为基础的人群,传染病和生长迟缓率很高。为了检查生长参考对统计推断的影响,我们根据可用的婴儿、产妇和家庭属性构建了多个合理的模型。然后,我们为身高年龄(HAZ)、体重年龄(WAZ)和体重身高(WHZ)运行相同的模型,z 分数交替地从 WHO 和稳健的 Tsimane Lambda-Mu-Sigma 生长曲线计算。与 Tsimane HAZ 分数相比,WHO 的分布呈负偏态,反映了与年龄相关的较低 HAZ 增加。在 WHO 和 Tsimane 模型中,标准化系数和显着性水平通常是一致的,尽管在某些模型中,特定术语的强度和显着性有所不同。年龄与 HAZ 和 WAZ 呈强负相关,几乎所有 WHO 模型均如此,但 Tsimane 模型并非如此,导致 R2 估计值始终较高。年龄和断奶效应在 WHO 模型中混淆。与 WHO HAZ 相关的决定因素的有偏估计可能在小样本中更为极端,对于与年龄模式强烈相关的变量也是如此。在将 WHO 标准应用于人群内研究时,可能需要额外的方法学考虑,特别是对于那些生长模式已知与 WHO 参考样本系统偏差的人群。