BMI trajectories from birth to young adulthood associate with distinct cardiometabolic profiles.

IF 7 1区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Gang Wang, Dang Wei, Simon Kebede Merid, Sandra Ekström, Susanna Klevebro, Natalia Hernandez-Pacheco, Sophia Björkander, Petter Ljungman, Inger Kull, Jochen M Schwenk, Anna Bergström, Erik Melén
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引用次数: 0

Abstract

Background: Numerous studies have investigated links between body mass index (BMI) trajectories and cardiovascular risk, yet discrepancies in BMI measurement duration and timing of the cardiovascular-related outcome evaluation have led to inconsistent findings.

Methods: We included participants from the Swedish birth cohort (BAMSE) and applied latent class mixture modeling to identify BMI trajectories using data of multiple BMI measures (≥ 4 times) from birth until 24-year follow-up (n = 3204). Subsequently, we analyzed the associations of BMI trajectories with lipids (n = 1974), blood pressure (n = 2022), HbA1c (n = 941), and blood leukocytes (n = 1973) using linear regression. We also investigated the circulating levels of 92 inflammation-related proteins (n = 1866) across BMI trajectories.

Results: Six distinct BMI groups were identified, denoted as increasing-persistent high (n = 74; 2.3%), high-accelerated increasing (n = 209; 6.5%), increasing-accelerated resolving (n = 142; 4.4%), normal-above normal (n = 721; 22.5%), stable normal (n = 1608; 50.2%), and decreasing-persistent low (n = 450; 14.1%) BMI groups. The increasing-persistent high and high-accelerated increasing BMI groups had higher levels of total cholesterol [mean difference (95% confidence intervals): 0.30 (0.04-0.56) and 0.16 (0.02-0.31) mmol/L], triglyceride, low-density lipoprotein, hemoglobin A1C [3.61 (2.17-5.54) and 1.18 (0.40-1.98) mmol/mol], and low-density lipoprotein/high-density lipoprotein ratios, but a lower level of high-density lipoprotein than the stable normal BMI group. These two groups also had higher leukocyte cell counts and higher circulating levels of 28 inflammation-related proteins. No increased cardiometabolic markers were observed in the increasing-accelerated resolving BMI group.

Conclusions: Participants with persistently high or accelerated increasing BMI trajectories from birth to young adulthood have elevated levels of cardiometabolic risk markers at young adulthood than those with stable normal BMI. However, a raised BMI in childhood may not be inherently harmful to cardiometabolic health, provided it does not persist into adulthood.

从出生到青年期的体重指数轨迹与不同的心脏代谢特征有关。
背景:许多研究调查了身体质量指数(BMI)轨迹与心血管风险之间的联系,但BMI测量时间和心血管相关结果评估时间的差异导致了研究结果的不一致:我们纳入了瑞典出生队列(BAMSE)中的参与者,并利用从出生到 24 年随访期间的多次 BMI 测量数据(≥ 4 次)(n = 3204),应用潜类混合模型来识别 BMI 轨迹。随后,我们利用线性回归分析了 BMI 轨迹与血脂(n = 1974)、血压(n = 2022)、HbA1c(n = 941)和血白细胞(n = 1973)的关联。我们还调查了不同体重指数轨迹中 92 种炎症相关蛋白(n = 1866)的循环水平:结果:我们确定了六个不同的 BMI 组别,分别为持续增加的高 BMI 组(n = 74;2.3%)、加速增加的高 BMI 组(n = 209;6.5%)、加速增加的低 BMI 组(n = 142;4.4%)、正常-高于正常 BMI 组(n = 721;22.5%)、稳定正常 BMI 组(n = 1608;50.2%)和持续下降的低 BMI 组(n = 450;14.1%)。体重指数持续上升组和加速上升组的总胆固醇水平较高[平均差异(95% 置信区间):0.30(0.04-0.05)]:甘油三酯、低密度脂蛋白、血红蛋白 A1C [3.61 (2.17-5.54) 和 1.18 (0.40-1.98) mmol/mol]、低密度脂蛋白/高密度脂蛋白比率,但高密度脂蛋白水平低于稳定正常 BMI 组。这两组的白细胞计数和 28 种炎症相关蛋白的循环水平也较高。在体重指数加速上升组中,没有观察到心脏代谢指标的增加:结论:与体重指数稳定正常的人群相比,从出生到青年期体重指数持续偏高或加速上升的人群在青年期的心脏代谢风险指标水平较高。然而,如果儿童时期体重指数升高的情况没有持续到成年期,那么这种情况可能不会对心脏代谢健康造成本质上的危害。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMC Medicine
BMC Medicine 医学-医学:内科
CiteScore
13.10
自引率
1.10%
发文量
435
审稿时长
4-8 weeks
期刊介绍: BMC Medicine is an open access, transparent peer-reviewed general medical journal. It is the flagship journal of the BMC series and publishes outstanding and influential research in various areas including clinical practice, translational medicine, medical and health advances, public health, global health, policy, and general topics of interest to the biomedical and sociomedical professional communities. In addition to research articles, the journal also publishes stimulating debates, reviews, unique forum articles, and concise tutorials. All articles published in BMC Medicine are included in various databases such as Biological Abstracts, BIOSIS, CAS, Citebase, Current contents, DOAJ, Embase, MEDLINE, PubMed, Science Citation Index Expanded, OAIster, SCImago, Scopus, SOCOLAR, and Zetoc.
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