Max Planck Institute for Evolutionary Anthropology, Leipzig, 04103, Germany.
Am J Hum Biol. 2018 May;30(3):e23105. doi: 10.1002/ajhb.23105. Epub 2018 Feb 24.
General health status is reflected in measures of height, weight, and BMI. Assessing sources of variation in these outcomes reveals population-specific variables of importance to health and nutrition. We characterize the impacts of socioeconomic variables related to the nuclear family on health outcomes of boat-dwelling Shodagor children, mothers, and fathers, and to estimate the proportion of variation in height, weight, and BMI influenced by both genetic variation and nongenetic variation among household environments.
Bayesian linear mixed models (LMMs) estimate heritability and household-effect variance components among the Shodagor. These models also assess the influences of specific socioeconomic predictor variables on different types of individuals within the household (children, mothers, and fathers).
Overall, models explain 61.7% of variation in height, 59.4% in weight, and 65.8% in BMI for this sample of Shodagor. Mother's decision-making and household income have expected, positive associations with children's weight and BMI. Number of children has an unexpected positive relationship to children's height and a negative relationship to father's BMI. Genetic variation explains less than 26% of phenotypic variation for each of these traits on average.
Our results show that resource flows and distributions within Shodagor households account for a significant amount of variance in nutritional outcomes. Problems commonly associated with increasing market integration may lead to negative outcomes for children, while mother's autonomy may lead to positive outcomes. Our models also indicate that environmental factors account for more variation in these outcomes than expected, relative to genetics, and we discuss the implications.
身高、体重和 BMI 等指标反映了总体健康状况。评估这些结果的变异来源可以揭示出对健康和营养具有重要意义的特定人群变量。我们描述了与核心家庭有关的社会经济变量对船居 Shodagor 儿童、母亲和父亲健康结果的影响,并估计了身高、体重和 BMI 的变异性中受遗传变异和家庭环境中非遗传变异影响的比例。
贝叶斯线性混合模型(LMM)估计了 Shodagor 中的遗传力和家庭效应方差分量。这些模型还评估了特定社会经济预测变量对家庭中不同类型个体(儿童、母亲和父亲)的影响。
总体而言,模型解释了该 Shodagor 样本中身高的 61.7%、体重的 59.4%和 BMI 的 65.8%的变异性。母亲的决策和家庭收入与儿童的体重和 BMI 呈正相关。儿童人数与儿童身高呈正相关,与父亲 BMI 呈负相关。遗传变异平均仅解释了这些特征中每个特征表型变异的不到 26%。
我们的研究结果表明,Shodagor 家庭内部的资源流动和分配解释了营养结果的很大一部分变异性。与市场一体化增加相关的问题可能会对儿童产生负面影响,而母亲的自主权可能会带来积极的结果。我们的模型还表明,环境因素对这些结果的变异的解释比遗传因素更为重要,我们讨论了其中的含义。