更年期妇女母乳喂养时间与糖尿病之间的关系:利用基于人口的回顾性研究进行的机器学习分析。

IF 2.9 2区 医学 Q1 OBSTETRICS & GYNECOLOGY
Eun-Saem Choi, Jue Seong Lee, Hwasun Lee, Kwang-Sig Lee, Ki Hoon Ahn
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引用次数: 0

摘要

背景:母乳喂养可恢复妊娠引起的胰岛素抵抗,但有关母乳喂养与糖尿病(DM)之间关系的研究结果却不一致。因此,我们的目的是在大规模人群回顾性研究中调查母乳喂养持续时间与糖尿病风险的关系。此外,我们还开发了DM和血红蛋白A1c(HbA1c)的机器学习预测模型,以进一步评估这种关联:我们使用了韩国国家健康与营养调查数据库,这是一项从 2010 年到 2020 年的全国性人口健康调查。我们纳入了15946名有分娩史的绝经后妇女,并根据平均母乳喂养时间将其分为三组:(1)无母乳喂养;(2)母乳喂养时间<12个月;(3)母乳喂养时间≥12个月。使用人工神经网络、决策树、逻辑回归、奈夫贝叶斯、随机森林和支持向量机建立了DM和HbA1c的预测模型:共有 2248 名妇女(14.1%)患有 DM,14402 名妇女(90.3%)有哺乳史。母乳喂养<12个月组的DM患病率最低(无母乳喂养 vs. 母乳喂养<12个月 vs. 母乳喂养≥12个月;161 [10.4%] vs. 362 [9.0%] vs. 1,725 [16.7%],P 结论:母乳喂养<12个月组的DM患病率最低:与母乳喂养长达 12 个月的妇女相比,未进行母乳喂养的妇女患 DM 的风险更高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Association between breastfeeding duration and diabetes mellitus in menopausal women: a machine-learning analysis using population-based retrospective study.

Background: Breastfeeding resets insulin resistance caused by pregnancy however, studies on the association between breastfeeding and diabetes mellitus (DM) have reported inconsistent results. Therefore, we aimed to investigate the risk of DM according to breastfeeding duration in large-scale population-based retrospective study. In addition, machine-learning prediction models for DM and hemoglobin A1c (HbA1c) were developed to further evaluate this association.

Methods: We used the Korean National Health and Nutrition Examination Surveys database, a nationwide and population-based health survey from 2010 to 2020. We included 15,946 postmenopausal women with a history of delivery, whom we divided into three groups according to the average breastfeeding duration: (1) no breastfeeding, (2) < 12 months breastfeeding, and (3) ≥ 12 months breastfeeding. Prediction models for DM and HbA1c were developed using an artificial neural network, decision tree, logistic regression, Naïve Bayes, random forest, and support vector machine.

Results: In total, 2248 (14.1%) women had DM and 14,402 (90.3%) had a history of breastfeeding. The prevalence of DM was the lowest in the < 12 breastfeeding group (no breastfeeding vs. < 12 months breastfeeding vs. ≥ 12 months breastfeeding; 161 [10.4%] vs. 362 [9.0%] vs. 1,725 [16.7%], p < 0.001). HbA1c levels were also the lowest in the < 12 breastfeeding group (HbA1c: no breastfeeding vs. < 12 months breastfeeding vs. ≥ 12 months breastfeeding; 5.9% vs. 5.9% vs. 6.1%, respectively, p < 0.001). After adjustment for covariates, the risk of DM was significantly increased in both, the no breastfeeding (adjusted odds ratio [aOR] 1.29; 95% CI 1.29, 1.62]) and ≥ 12 months of breastfeeding groups (aOR 1.18; 95% CI 1.01, 1.37) compared to that in the < 12 months breastfeeding group. The accuracy and the area under the receiver-operating-characteristic curve of the DM prediction model were 0.93 and 0.95, respectively. The average breastfeeding duration was ranked among the top 15 determinants of DM, which supported the strong association between breastfeeding duration and DM. This association was also observed in a prediction model for HbA1c.

Conclusions: Women who did not breasted had a higher risk of developing DM than those who breastfed for up to 12 months.

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来源期刊
International Breastfeeding Journal
International Breastfeeding Journal Medicine-Obstetrics and Gynecology
CiteScore
6.30
自引率
11.40%
发文量
76
审稿时长
32 weeks
期刊介绍: Breastfeeding is recognized as an important public health issue with enormous social and economic implications. Infants who do not receive breast milk are likely to experience poorer health outcomes than breastfed infants; mothers who do not breastfeed increase their own health risks. Publications on the topic of breastfeeding are wide ranging. Articles about breastfeeding are currently published journals focused on nursing, midwifery, paediatric, obstetric, family medicine, public health, immunology, physiology, sociology and many other topics. In addition, electronic publishing allows fast publication time for authors and Open Access ensures the journal is easily accessible to readers.
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