Cardiometabolic measures and cognition in early menopause - Analysis of baseline data from a randomized controlled trial.

Cardiometabolic measures and cognition in early menopause - Analysis of baseline data from a randomized controlled trial.
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更年期早期的心脏代谢量度和认知 - 对随机对照试验的基线数据的分析。

DOI:
10.1016/j.maturitas.2022.04.004
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发表时间:
2022-08
期刊:
影响因子:
4.9
通讯作者:
Gleason, Carey E.
Gleason, Carey E.
中科院分区:
医学2区
文献类型:
--
作者:
Pal, Lubna;Morgan, Kelly;Santoro, Nanette F.;Manson, JoAnn E.;Taylor, Hugh S.;Miller, Virginia M.;Brinton, Eliot A.;Lobo, Rogerio;Neal-Perry, Genevieve;Cedars, Marcelle I.;Harman, S. Mitchell;James, Taryn T.;Gleason, Carey E.

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对新近绝经妇女心脏代谢指标与认知功能的关系进行了研究。Keep基线数据的横断面分析(Kronos早期雌激素预防研究)-认知辅助研究(n=621)。认知功能以改良的简易精神状态(3MS)评分评定(主要结果);心脏代谢指标包括:体格指标(BMI/m2、腰围[WC,cm]、腰臀比[WHR]、血压[BP]、生化指标(血清高敏C反应蛋白[hs-CRP]、总胆固醇[TC]、低密度脂蛋白[LDL-C]、高密度脂蛋白[HDLC]、非高密度脂蛋白[Non-HDLC]、甘油三酯[TG]、空腹血糖[FSG]和胰岛素抵抗[HOMA-IR])。社会人口学变量包括年龄、种族/民族、教育程度和生活方式(体力活动、吸烟)。中心性肥胖的定义是腰围88厘米(35英寸)和腰围0.8。独立的逐步多变量分析(GLM、有序Logistic回归和Logistic回归)评估了3MS评分(分别为连续、三分和90分)与中心性肥胖(预测变量)、社会人口学(年龄、绝经时间、种族、教育程度和生活方式)和心脏代谢变量(BP、血脂、空腹血糖、HOMAIR和hs-CRP)之间的关系。最终的多变量模型包括绝经时间、种族、民族、文化程度、剧烈运动、体重指数≥30 kg/m2、非高密度脂蛋白胆固醇和超敏C反应蛋白作为协变量。由于中心性肥胖的两个指数之间的高度共线性,在每个分析策略中,不同的模型分别检查了腰围和腰围88 cm和腰围;0.8与3MS评分之间的关联。在调整后的分析中,中心性肥胖指数是3MS得分显著降低的独立预测因素(p<0.05)。通过三种不同的多变量回归分析方法(GLM、顺序回归和Logistic回归)观察到这种关系的一致性。在新近绝经的女性中,腰围88厘米和腰围0.8厘米与认知功能显著下降有关,这从3MS得分较低中可见一斑。可能解释观察到的中心性肥胖对认知功能的负面影响的机制值得进一步研究。
Relationship between cardiometabolic indices and cognition were examined in recently menopausal women. Cross-sectional analysis of baseline data of KEEPS (Kronos Early Estrogen Prevention Study)-Cognitive ancillary study (n=621). Cognitive performance was assessed by the Modified Mini Mental Status (3MS) score (primary outcome); cardiometabolic indices included: physical measures (BMI in kg/m2, waist circumference [WC, in cm], waist-to-hip ratio [WHR], blood pressure [BP], biochemical indices (serum levels of high sensitivity C-reactive protein [hs-CRP], total cholesterol [TC], low density lipoprotein [LDL-C], high-density lipoprotein [HDL-C], non-HDL [non-HDL-C], triglycerides [TG], fasting serum glucose [FSG] and insulin resistance [HOMA-IR]). Socio-demographic variables included age, race/ethnicity, education, and lifestyle (physical activity, smoking). Central adiposity was defined by WC>88cm (>35 inches) and WHR>0.8. Separate stepwise multivariable analyses (GLM, ordinal logistic regression and logistic regression) assessed relationships between 3MS scores (as continuous, in tertiles and dichotomized at 90 respectively) with the measures of central adiposity (predictor variables); socio-demographic (age, time since menopause, race, educational status and lifestyle) and cardiometabolic variables (BP, lipids, FSG, HOMAIR and hs-CRP) were examined as covariates. The final multivariable models included time since menopause, race, ethnicity, educational status, strenuous exercise, BMI ≥30kg/m2, non-HDL-C and hs-CRP as covariates. Due to the high collinearity between the two indices of central adiposity, within each analytic strategy, separate models examined the respective associations of WC>88cm and WHR>0.8 with 3MS score. On adjusted analyses, indices of central adiposity were independent predictors of significantly lower 3MS scores (p<0.05). Consistency in this relationship was observed across the three different multivariable regression analytic approaches (GLM, ordinal and logistic regression). Among recently menopausal women, WC>88cm and WHR>0.8 were associated with significantly lower cognitive function, as reflected by lower 3MS scores. The mechanisms that might explain the observed negative implications of central adiposity for cognitive function warrant further study.
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