Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Department of Biostatistics and Epidemiology, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
PLoS One. 2019 May 1;14(5):e0213828. doi: 10.1371/journal.pone.0213828. eCollection 2019.
To explore the association between sex-specific adiposity trajectories among Adolescents to early adulthood with incident high blood pressure (HBP) and high plasma glucose (HPG).
We studied body mass index (BMI) trajectories among1159 (male = 517) and 664 (male = 263) Iranian adolescents, aged 12-20 years, for incident HPG and HBP, respectively. Latent Class Growth Mixture Modeling (LCGMM) on longitudinal data was used to determine sex-specific and distinct BMI trajectories. Logistic regressions were applied to estimate the relationship between latent class membership with HBP and HPG, considering normal trajectory as the reference.
For both HBP and HPG, LCGMM determined two and three distinct BMI trajectories in males and females, respectively. During a follow-up of 12Years 104 (male = 62) and 111(male = 59) cases of HPG and HBP were found, respectively. Among females, faster BMI increases (i.e. overweight to early obese trajectory) but not overweight (i.e. those with BMI = 27.3 kg/m2 at baseline) trajectories increased the risk of HPG by adjusted odds ratios (ORs), 2.74 (1.10-5.80) and 0.79 (0.22-2.82), respectively; regarding HBP, the corresponding value for overweight to late obese trajectory was 3.72 (1.37-11.02). Among males, for HBP, the overweight trajectory increased the risk [2.09 (1.04-4.03)]; however, for incident HPG, none of the trajectories showed significant risk.
Among females, trend of increasing BMI parallel with age can be a better predictor for risk of developing HPG and HBP than those with higher BMI at baseline.
探讨青少年至成年早期性别特异性肥胖轨迹与高血压(HBP)和高血糖(HPG)发病的关系。
我们研究了 1159 名(男性=517 名)和 664 名(男性=263 名)伊朗青少年的体重指数(BMI)轨迹,分别用于 HPG 和 HBP 的发病。对纵向数据进行潜在类别增长混合模型(LCGMM)分析,以确定性别特异性和不同的 BMI 轨迹。应用逻辑回归估计潜在类别成员与 HBP 和 HPG 的关系,以正常轨迹为参照。
对于 HBP 和 HPG,LCGMM 分别在男性和女性中确定了两个和三个不同的 BMI 轨迹。在 12 年的随访中,男性分别发现了 104 例(男性=62 例)和 111 例(男性=59 例)HPG 和 HBP 病例。在女性中,更快的 BMI 增加(即超重到早期肥胖轨迹)而非超重(即基线时 BMI=27.3kg/m2)轨迹增加了 HPG 的风险,调整后的优势比(ORs)分别为 2.74(1.10-5.80)和 0.79(0.22-2.82);关于 HBP,超重到晚期肥胖轨迹的相应值为 3.72(1.37-11.02)。在男性中,对于 HBP,超重轨迹增加了风险[2.09(1.04-4.03)];然而,对于 HPG 的发病,没有任何轨迹显示出显著的风险。
在女性中,与年龄平行的 BMI 增加趋势可能是预测 HPG 和 HBP 发病风险的更好指标,而不是基线时较高的 BMI。