Huang Ying, van Poppel Frans, Lumey L H
Epidemiology Department, Mailman School of Public Health, Columbia University, New York, USA.
Netherlands Interdisciplinary Demographic Institute (NIDI/KNAW)/University of Groningen, The Hague, The Netherlands; Department of Sociology, Utrecht University, The Netherlands.
Econ Hum Biol. 2015 Apr;17:202-7. doi: 10.1016/j.ehb.2014.11.002. Epub 2014 Nov 22.
Adult height is associated with a variety of familial and socio-economic factors and large, well-defined populations are needed for a reliable assessment of their relative contributions. We therefore analyzed recorded heights from the military health examinations of 18-year conscripts in the Netherlands born between 1944 and 1947 and observed large differences by their attained education and by their father's occupation. The 5.1 cm height gradient from lowest to highest education level was more than twice as large as the gradient between father's occupation levels. The education gradient was not explained by common determinants of height including paternal occupation as a measure of familial background, region of birth, family size, or religion.
成人身高与多种家庭和社会经济因素相关,需要大规模、明确界定的人群才能可靠评估这些因素的相对贡献。因此,我们分析了荷兰1944年至1947年出生的18岁应征入伍者军事健康检查记录中的身高数据,发现他们的受教育程度和父亲职业不同,身高存在显著差异。从最低到最高教育水平的身高梯度为5.1厘米,这一梯度是父亲职业水平之间梯度的两倍多。教育梯度无法用身高的常见决定因素来解释,这些因素包括作为家庭背景衡量指标的父亲职业、出生地、家庭规模或宗教信仰。