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女性体重变化轨迹对家族性心血管疾病的预测价值:基于家族的纵向研究。

Predictive value of women's weight trajectories in determining familial cardiovascular disorders: a family-based longitudinal study.

机构信息

Research Center for Social Determinants of Health, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, P.O. Box 19395-4763, Tehran, Islamic Republic of Iran.

Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Islamic Republic of Iran.

出版信息

Sci Rep. 2021 Aug 27;11(1):17317. doi: 10.1038/s41598-021-96154-5.

Abstract

Considering the dynamic nature of body mass index (BMI) and its importance in determining cardiovascular risks, this study aimed to investigate the life-course trajectory pattern of women's BMI and its association with cardiovascular risk factors. A total of 1356 couples with 2976 children were recruited and followed up for an average period of 20 years. Latent growth curve modeling was applied to determine women's BMI trajectories; logistic regression was used to investigate the associations between trajectory patterns and cardiovascular risk factors, including hypertension (HTN), dyslipidemia, diabetes mellitus (DM), and obesity. Women were classified into three trajectories, including normal, stage 1 obesity, and stage 2 obesity. Compared to women's in the normal trajectory group, those in obesity trajectories had higher odds ratios for HTN, DM, and dyslipidemia. Men with obese spouses showed a higher rate of HTN 1.54 (95% CI 1.05-2.25) and DM 1.55; (95% CI 1.00-2.44). The odds of men's obesity were higher in obese spouses (OR 1.70; 95% CI 1.10-2.62). Offspring of stage 2 obese (OR 2.39; 95% CI 1.67-3.44) and stage 1 obese (OR 4.81; 95% CI 3.16-7.34) mothers were more likely to be obese. Our findings emphasized paying more attention to women with excessive weight to promote familial cardiovascular health in the communities.

摘要

考虑到体重指数(BMI)的动态性质及其在确定心血管风险方面的重要性,本研究旨在探讨女性 BMI 的生命历程轨迹模式及其与心血管危险因素的关系。共招募了 1356 对夫妇和 2976 名儿童,平均随访 20 年。应用潜在增长曲线模型确定女性 BMI 轨迹;逻辑回归用于研究轨迹模式与心血管危险因素(包括高血压、血脂异常、糖尿病和肥胖)之间的关联。女性被分为三种轨迹,包括正常、1 期肥胖和 2 期肥胖。与正常轨迹组的女性相比,肥胖轨迹组的女性患高血压、糖尿病和血脂异常的比值比更高。肥胖配偶的男性患高血压的比值比为 1.54(95%CI 1.05-2.25),糖尿病为 1.55(95%CI 1.00-2.44)。肥胖配偶的男性肥胖的可能性更高(OR 1.70;95%CI 1.10-2.62)。2 期肥胖(OR 2.39;95%CI 1.67-3.44)和 1 期肥胖(OR 4.81;95%CI 3.16-7.34)母亲的后代更有可能肥胖。我们的研究结果强调,需要更加关注体重过重的女性,以促进社区中家族性心血管健康。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac37/8397790/a92c6016c661/41598_2021_96154_Fig1_HTML.jpg

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