摘要
目的探讨指纹对成年期体型指标的预测作用。方法2004年对中国双生子登记系统（CNTR）中青岛、丽水两市双生子进行问卷调查、体格检查和实验室检查。在832对双生子中选择具有清晰、完整指纹图像的100对作为样本人群，利用计算机技术提取指纹像素信息和分析指纹灰度图像。通过单因素及混合效应模型分析纹型、奇异点间距离和波动不对称性与成年期体型指标间的关联。结果调整年龄、性别的混合线性效应分析显示，与无拱型指纹人群相比，拱型指纹人群体脂百分比高3．5％（P=0．002），具有桡侧箕型纹的人群体脂百分比也高于无桡侧箕型纹人群2．01％（P=0．041）；调整年龄凶素后，桡侧箕型纹对于收缩压的影响消失，但拱型纹（P=0．031）和桡侧箕型纹（P=0．022）与收缩压问仍然存在关联。结论指纹与成年期的体型指标间可能存在关联。指纹分析为研究胎儿环境对成年期健康的影响提供了一种可能的思路。
Objective To study the correlation between fingerprints and body size indicators in adulthood. Methods Samples were composed of twins from two sub-registries of Chinese National Twin Registry （CNTR）, including 405 twin pairs in Lishui and 427 twin pairs in Qingdao. All participants were asked to complete the field survey, consisting of questionnaire, physical examination and blood collection. From the 832 twin pairs, those with complete and clear demographic prints were selected as the target population. Information of Fingerprints pixel on the demographic characteristics of these 100 twin pairs and their related adulthood body type indicators were finally chosen to form this research. Descriptive statistics and mixed linear model were used for data analyses. Results In the mixed linear models adjusted for age and sex, data showed that the body fat percentage of those who had arches was higher than those who did not have the arches （P= 0.002）, and those who had radial loops would have higher body fat percentage when compared with ones who did not （P=0.041）. After adjusted for age, there appeared no statistically significant correlation between radial loops and systolic pressure, but the correlations of arches （P----0.031） and radial loops （P=0.022） to diastolic pressure still remained statistically significant. Conclusion Statistically significant correlations were found between fingerprint types and body size indicators, and the fingerprint types showed a useful tool to explore the effects of uterine environment on health status in one＇ s adulthood.
出处
《中华流行病学杂志》
CAS
CSCD
北大核心
2014年第1期22-26,共5页
Chinese Journal of Epidemiology
基金
基金项目：卫生公益性行业科研专项（201002007）
中华医学基金（01-746）
关键词
指纹
体型指标
慢性病
Demographics
Body type indicators
Non-communicable diseases
