102
Views
0
CrossRef citations to date
0
Altmetric
Diabetes

Family history of diabetes mellitus and long-term endocrine morbidity of the offspring

ORCID Icon, , ORCID Icon & ORCID Icon
Pages 869-872 | Received 15 Oct 2019, Accepted 02 Feb 2020, Published online: 11 Feb 2020
 

Abstract

Background: Little is known regarding the long-term outcomes of offsprings to non-diabetic mothers with family history of diabetes mellitus (FHDM).

Objective: The aim of the study was to determine whether being born to a non-diabetic mother with FHDM increases the risk for long-term endocrine morbidity.

Methods: This is a population-based cohort study, comparing long-term endocrine morbidity between offspring born to non-diabetic mothers with and without FHDM. The Kaplan–Meier survival curve was used to compare cumulative morbidity incidence. Cox proportional hazards model was performed to control for confounders.

Results: During the study period, 208,728 children met the inclusion criteria. Using a Kaplan–Meier survival curve, offspring born to non-diabetic mothers with a FHDM had higher cumulative incidence of endocrine morbidity compared to their counterparts without FHDM (Log rank test p = .014). Using a Cox model, controlling for confounders, being born to a non-diabetic mother with FHDM was an independent risk factor for long-term endocrine morbidity of the offspring (adjusted HR = 1.24, 95%CI 1.001–1.54; p = .043).

Conclusion: Being born to a non-diabetic mother with a FHDM is independently associated with higher risk for long-term endocrine morbidity of the offspring.

Chinese abstract

背景:关于有糖尿病家族史(FHDM)的非糖尿病母亲的子代远期预后知之甚少。目的:这项研究的目的是确定有FHDM的非糖尿病母亲所生的子代是否远期内分泌疾病的风险会增加。方法:这是一项基于人群的队列研究, 比较有和无FHDM的非糖尿病母亲所生子女的远期内分泌疾病发病率。采用Kaplan-Meier生存曲线比较累积发病率。采用Cox比例风险模型对混杂因素进行控制。结果:在研究期间, 208,728名儿童符合纳入标准。使用Kaplan-Meier生存曲线, 有FHDM的非糖尿病母亲所生的孩子比没有FHDM的母亲所生的孩子有更高的内分泌疾病累积发病率(Log Rank检验p= .014)。使用COX模型, 控制混杂因素后, 母亲是有FHDM的非糖尿病患者, 是子代远期内分泌疾病发病的独立危险因素(调整后的HR = 1.24, 95%CI 1.001-1.54;p= .043)。结论:有FHDM的非糖尿病母亲所生子女远期内分泌疾病的风险较高。

Author contributions

Yuval Alon, Eyal Sheiner, and Gali pariente contributed to study design, literature search, generation of figures, and writing of the manuscript. Tamar Wainstock carried out the statistical analysis. All authors were involved in writing the paper and had final approval of the submitted and published versions.

Disclosure statement

The authors report no conflict of interest.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access
  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart
* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.