Predictive power of a body shape index for development of diabetes, hypertension, and dyslipidemia in Japanese adults: A retrospective cohort study

Misuzu Fujita, Yasunori Sato, Kengo Nagashima, Sho Takahashi, Akira Hata

研究成果: Article

40 引用 (Scopus)

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Background/Objectives 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. Subjects/Methods 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 casematched study using the propensity score matching method. Results 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. Conclusions Compared with BMI or WC, ABSI was not a better predictor of diabetes, hypertension, and dyslipidemia in Japanese adults.

元の言語English
記事番号e0128972
ジャーナルPloS one
10
発行部数6
DOI
出版物ステータスPublished - 2015 6 1
外部発表Yes

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hyperlipidemia
Medical problems
Dyslipidemias
anthropometric measurements
cohort studies
Waist Circumference
hypertension
diabetes
waist circumference
Body Mass Index
Cohort Studies
Retrospective Studies
body mass index
odds ratio
Hypertension
Odds Ratio
confidence interval
Confidence Intervals
Incidence
disease incidence

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)

これを引用

Predictive power of a body shape index for development of diabetes, hypertension, and dyslipidemia in Japanese adults : A retrospective cohort study. / Fujita, Misuzu; Sato, Yasunori; Nagashima, Kengo; Takahashi, Sho; Hata, Akira.

:: PloS one, 巻 10, 番号 6, e0128972, 01.06.2015.

研究成果: Article

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abstract = "Background/Objectives 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. Subjects/Methods 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 casematched study using the propensity score matching method. Results 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. Conclusions Compared with BMI or WC, ABSI was not a better predictor of diabetes, hypertension, and dyslipidemia in Japanese adults.",
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T1 - Predictive power of a body shape index for development of diabetes, hypertension, and dyslipidemia in Japanese adults

T2 - A retrospective cohort study

AU - Fujita, Misuzu

AU - Sato, Yasunori

AU - Nagashima, Kengo

AU - Takahashi, Sho

AU - Hata, Akira

PY - 2015/6/1

Y1 - 2015/6/1

N2 - Background/Objectives 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. Subjects/Methods 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 casematched study using the propensity score matching method. Results 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. Conclusions Compared with BMI or WC, ABSI was not a better predictor of diabetes, hypertension, and dyslipidemia in Japanese adults.

AB - Background/Objectives 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. Subjects/Methods 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 casematched study using the propensity score matching method. Results 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. Conclusions Compared with BMI or WC, ABSI was not a better predictor of diabetes, hypertension, and dyslipidemia in Japanese adults.

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