BMI is Strongly Associated With Hypertension, and Waist Circumference is Strongly Associated With Type 2 Diabetes and Dyslipidemia, in Northern Chinese Adults

被引:126
|
作者
Feng, Ren-Nan [1 ]
Zhao, Chen [1 ]
Wang, Cheng [2 ]
Niu, Yu-Cun [1 ]
Li, Kang [3 ]
Guo, Fu-Chuan [1 ]
Li, Song-Tao [1 ]
Sun, Chang-Hao [1 ]
Li, Ying [1 ]
机构
[1] Harbin Med Univ, Sch Publ Hlth, Dept Nutr & Food Hyg, Harbin 150081, Peoples R China
[2] Harbin Med Univ, Chinese Ctr Dis Control & Prevent, Endem Dis Control Ctr, Harbin 150081, Peoples R China
[3] Harbin Med Univ, Sch Publ Hlth, Dept Biostat, Harbin 150081, Peoples R China
基金
国家高技术研究发展计划(863计划);
关键词
obesity; chronic disease; cut-off value; BODY-MASS INDEX; METABOLIC SYNDROME; CARDIOVASCULAR-DISEASE; CENTRAL OBESITY; BLOOD-PRESSURE; RISK-FACTORS; JAPANESE POPULATION; CUTOFF POINTS; PREVALENCE; ADIPOSITY;
D O I
10.2188/jea.JE20110120
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: Obesity is closely associated with chronic diseases such as hypertension, type 2 diabetes mellitus (T2DM), and dyslipidemia. We analyzed the optimal obesity index cut-off values for metabolic syndrome (MetS), and identified the obesity index that is more closely associated with these chronic diseases, in a population of northern Chinese. Methods: We surveyed 8940 adults (age, 20-74 years) living in northern China for chronic diseases. Receiver operating characteristics (ROC) analysis, relative risk, and multivariate regression were used to develop an appropriate index and optimal cut-off values for MetS and obesity-related chronic diseases. Results: Waist circumference (WC) and body mass index (BMI) were good markers for MetS, WC was a good marker for T2DM and dyslipidemia, and BMI was a good marker for hypertension. The optimal BMI cut-off value of MetS was 24 kg/m(2), and the optimal WC cut-offs were 86 cm and 78 cm in men and women, respectively. Relative risk regression models showed that BMI was associated with hypertension, T2DM, and hypertriglyceridemia and a higher prevalence ratio (PR) for hypertension: 2.35 (95% CI, 2.18-2.50). WC was associated with T2DM, hypertension, and hypertriglyceridemia, with PRs of 2.05 (1.63-2.55) for T2DM and 2.47 (2.04-2.85) for hypertriglyceridemia. In multivariate regression models, the standardized regression coefficients (SRCs) of BMI were greater for SBP and DBP, and the SRC of WC was greater for fasting blood glucose, 2-hour postload blood glucose, triglyceride, and total cholesterol. Conclusions: Our analysis of a population of northern Chinese indicates that the optimal cut-off values for MetS are WCs of 86 cm in men and 78 cm in women and a BMI of 24 kg/m(2) in both sexes. BMI was strongly associated with hypertension, while WC was strongly associated with T2DM and dyslipidemia.
引用
收藏
页码:317 / 323
页数:7
相关论文
共 50 条
  • [21] Is waist-to-height ratio a better predictor of hypertension and type 2 diabetes than body mass index and waist circumference in the Chilean population?
    Petermann-Rocha, Fanny
    Ulloa, Natalia
    Adela Martinez-Sanguinetti, Maria
    Maria Leiva, Ana
    Martorell, Miquel
    Villagran, Marcelo
    Troncoso-Pantoja, Claudia
    Ho, Frederick K.
    Celis-Morales, Carlos
    Pizarro, Alonso
    NUTRITION, 2020, 79-80
  • [22] Increasing BMI and waist circumference and prevalence of obesity among adults with Type 2 diabetes: the National Health and Nutrition Examination Surveys
    Kramer, Holly
    Cao, Guichan
    Dugas, Lara
    Luke, Amy
    Cooper, Richard
    Durazo-Arvizu, Ramon
    JOURNAL OF DIABETES AND ITS COMPLICATIONS, 2010, 24 (06) : 368 - 374
  • [23] Hypertension is the metabolic syndrome component most strongly associated with microvascular complications and coronary artery calcification in Type 1 diabetes
    Rodrigues, T. C.
    Canani, L. H.
    Schvartzman, P.
    Gross, J. L.
    JOURNAL OF ENDOCRINOLOGICAL INVESTIGATION, 2011, 34 (03) : E58 - E63
  • [24] Diet quality is inversely associated with obesity in Chinese adults with type 2 diabetes
    Cheung, Lorena T. F.
    Chan, Ruth S. M.
    Ko, Gary T. C.
    Lau, Eric S. H.
    Chow, Francis C. C.
    Kong, Alice P. S.
    NUTRITION JOURNAL, 2018, 17
  • [25] Associations of body mass index trajectory, waist circumference trajectory, or both with type 2 diabetes mellitus risk in Chinese adults: The China-PAR project
    Zhao, Yang
    Han, Minghui
    Qie, Ranran
    Zhang, Yanyan
    Wu, Yuying
    Fu, Xueru
    Zhang, Dongdong
    Kuang, Lei
    Qin, Pei
    Hu, Fulan
    Li, Jianxin
    Lu, Xiangfeng
    Hu, Dongsheng
    Zhang, Ming
    DIABETES OBESITY & METABOLISM, 2024, 26 (05) : 1919 - 1928
  • [26] FTO gene variants are strongly associated with type 2 diabetes in South Asian Indians
    Yajnik, C. S.
    Janipalli, C. S.
    Bhaskar, S.
    Kulkarni, S. R.
    Freathy, R. M.
    Prakash, S.
    Mani, K. R.
    Weedon, M. N.
    Kale, S. D.
    Deshpande, J.
    Krishnaveni, G. V.
    Veena, S. R.
    Fall, C. H. D.
    McCarthy, M. I.
    Frayling, T. M.
    Hattersley, A. T.
    Chandak, G. R.
    DIABETOLOGIA, 2009, 52 (02) : 247 - 252
  • [27] Are waist circumference and body mass index independently associated with cardiovascular disease risk in Chinese adults?
    Wildman, RP
    Gu, DF
    Reynolds, K
    Duan, XF
    Wu, XQ
    He, J
    AMERICAN JOURNAL OF CLINICAL NUTRITION, 2005, 82 (06) : 1195 - 1202
  • [28] Is weight-adjusted waist index more strongly associated with diabetes than body mass index and waist circumference?: Results from the database large community sample study
    Wu, Jiabei
    Guo, Jinli
    PLOS ONE, 2024, 19 (09):
  • [29] Early-life factors are associated with waist circumference and type 2 diabetes among Ghanaian adults: The RODAM Study
    Danquah, Ina
    Addo, Juliet
    Boateng, Daniel
    Klipstein-Grobusch, Kerstin
    Meeks, Karlijn
    Galbete, Cecilia
    Beune, Erik
    Bahendeka, Silver
    Spranger, Joachim
    Mockenhaupt, Frank P.
    Stronks, Karien
    Agyemang, Charles
    Schulze, Matthias B.
    Smeeth, Liam
    SCIENTIFIC REPORTS, 2019, 9 (1)
  • [30] Neck Circumference is Associated with Metabolic Syndrome Components in Chinese Subjects with Type 2 Diabetes
    He, Yifei
    Chen, Jin
    Cao, Jingzhu
    Hu, Yanyan
    Li, Hui
    Lu, Jin
    DIABETES METABOLIC SYNDROME AND OBESITY-TARGETS AND THERAPY, 2022, 15 : 2781 - 2787