Predictive power of a body shape index for development of diabetes, hypertension, and dyslipidemia in Japanese adults: a retrospective cohort study.
Predictive power of a body shape index for development of diabetes, hypertension, and dyslipidemia in Japanese adults: a retrospective cohort study.
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DOI：
10.1371/journal.pone.0128972
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发表时间：
2015
期刊：
影响因子：
3.7
通讯作者：
Hata A
中科院分区：
文献类型：
--
作者：
Fujita M;Sato Y;Nagashima K;Takahashi S;Hata A
最近，据报道，在美国，体型指数（ABSI）可以独立于体重指数（BMI）预测全因死亡率。本研究旨在评估ABSI是否适用于日本成年人作为糖尿病、高血压和血脂异常的预测因子。我们在一项回顾性队列研究中使用日本千叶市政厅2008年至2012年期间的年度健康检查数据评估了ABSI的预测能力。受试者包括37，581名无糖尿病的受试者，23，090名无高血压的受试者，20，776名基线时无血脂异常的受试者，这些受试者的疾病发生率监测了4年。我们通过logistic回归分析研究了基线时标准化ABSI、BMI和腰围（WC）与疾病发病率的关系。此外，我们进行了病例匹配研究，使用倾向评分匹配方法。BMI、WC和ABSI升高会增加糖尿病和血脂异常的风险[BMI-糖尿病：比值比（OR）= 1.26，95%置信区间（95%CI）= 1.20 - 1.32; BMI-血脂异常：OR = 1.15，95%CI = 1.12 - 1.19; WC-糖尿病：OR = 1.24，95%CI = 1.18 - 1.31; WC-血脂异常：OR = 1.24，95%CI = 1.18 - 1.31]。OR = 1.15，95%CI = 1.11 - 1.19; ABSI-糖尿病：OR = 1.06，95%CI = 1.01 - 1.11; ABSI-血脂异常：OR = 1.04，95%CI = 1.01 - 1.07]。BMI和WC升高，但ABSI不升高，也会增加高血压的风险[BMI：OR = 1.32，95%CI = 1.27 - 1.37; WC：OR = 1.22，95%CI = 1.18 - 1.26; ABSI：OR = 1.00，95%CI = 0.97 - 1.02]。对于所有三种疾病，ABSI回归模型的曲线下面积（AUC）显著小于BMI或WC模型。在病例匹配的亚组中，ABSI预测糖尿病、高血压和血脂异常发生率的能力弱于BMI和WC。与BMI或WC相比，ABSI并不能更好地预测日本成年人的糖尿病、高血压和血脂异常。
Recently, a body shape index (ABSI) was reported to predict all-cause mortality independently of body mass index (BMI) in Americans. This study aimed to evaluate whether ABSI is applicable to Japanese adults as a predictor for development of diabetes, hypertension, and dyslipidemia. We evaluated the predictive power of ABSI in a retrospective cohort study using annual health examination data from Chiba City Hall in Japan, for the period 2008 to 2012. Subjects included 37,581 without diabetes, 23,090 without hypertension, and 20,776 without dyslipidemia at baseline who were monitored for disease incidence for 4 years. We examined the associations of standardized ABSI, BMI, and waist circumference (WC) at baseline with disease incidence by logistic regression analyses. Furthermore, we conducted a case-matched study using the propensity score matching method. Elevated BMI, WC, and ABSI increased the risks of diabetes and dyslipidemia [BMI-diabetes: odds ratio (OR) = 1.26, 95% confidence interval (95%CI) = 1.20−1.32; BMI-dyslipidemia: OR = 1.15, 95%CI = 1.12−1.19; WC-diabetes: OR = 1.24, 95%CI = 1.18−1.31; WC-dyslipidemia: OR = 1.15, 95%CI = 1.11−1.19; ABSI-diabetes: OR = 1.06, 95%CI = 1.01−1.11; ABSI-dyslipidemia: OR = 1.04, 95%CI = 1.01−1.07]. Elevated BMI and WC, but not higher ABSI, also increased the risk of hypertension [BMI: OR = 1.32, 95%CI = 1.27−1.37; WC: OR = 1.22, 95%CI = 1.18−1.26; ABSI: OR = 1.00, 95%CI = 0.97−1.02]. Areas under the curve (AUCs) in regression models with ABSI were significantly smaller than in models with BMI or WC for all three diseases. In case-matched subgroups, the power of ABSI was weaker than that of BMI and WC for predicting the incidence of diabetes, hypertension, and dyslipidemia. Compared with BMI or WC, ABSI was not a better predictor of diabetes, hypertension, and dyslipidemia in Japanese adults.
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影响因子：
2.1
作者：
Pereira M;Lunet N;Paulo C;Severo M;Azevedo A;Barros H
通讯作者：
Barros H
影响因子：
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作者：
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作者：
Ishikawa-Takata, K;Ohta, T;Inoue, S
通讯作者：
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