Suppr超能文献

评估糖尿病家族史时因性别和年龄差异导致的潜在误差。

Potential errors resulting from sex and age difference in assessing family history of diabetes.

作者信息

Saito T, Furukawa T, Nanri S, Saito I

机构信息

National Children's Medical Research Center, Tokyo, Japan.

出版信息

Prev Med. 1999 Jan;28(1):33-9. doi: 10.1006/pmed.1998.0371.

Abstract

BACKGROUND

Diabetes mellitus occurs nearly exponentially with aging and its occurrence differs between men and women in adulthood. Therefore, the sex and age of family members should be considered in assessing the family history. In this report the effects of sex and age on the positivity of family history were estimated numerically.

METHODS

Sex- and age-specific proportion of a positive history of diabetes mellitus among 24,273 family members was obtained from a questionnaire survey of 2,316 high school students in Japan. By analyzing the sex- and age-specific proportion with the logistic regression model, odds ratios were estimated which indicated potential bias or misclassification resulting from sex and age differences.

RESULTS

The odds ratios were 1.97 (95% confidence interval, 1.74-2.23) for the sex difference and 1.05 (95% confidence interval, 1.04-1.05) for an age difference of 1 year. This indicated that a male family member had a 1.97 times higher chance of having a positive history than a female member and that a positive history increased by (1.05)y, where y was age difference in years.

CONCLUSION

A control for sex and age of family members will be required in assessing the family history of diabetes mellitus as a risk factor.

摘要

背景

糖尿病的发病率几乎随年龄呈指数增长,且在成年期男性和女性的发病率有所不同。因此,在评估家族病史时应考虑家庭成员的性别和年龄。在本报告中,对性别和年龄对家族病史阳性率的影响进行了数值估计。

方法

通过对日本2316名高中生的问卷调查,得出了24273名家庭成员中糖尿病家族史阳性的性别和年龄特异性比例。通过使用逻辑回归模型分析性别和年龄特异性比例,估计了优势比,该优势比表明了性别和年龄差异导致的潜在偏差或错误分类。

结果

性别差异的优势比为1.97(95%置信区间,1.74 - 2.23),年龄相差1岁的年龄差异的优势比为1.05(95%置信区间,1.04 - 1.05)。这表明男性家庭成员有阳性家族史的可能性是女性成员的1.97倍,且阳性家族史以(1.05)y的比例增加,其中y为年龄差(以年为单位)。

结论

在将糖尿病家族史作为风险因素进行评估时,需要对家庭成员的性别和年龄进行控制。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验