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Association of obesity categories and high blood pressure in a rural adult Chinese population

Abstract

Limited information is available on the prevalence of obesity and high blood pressure (HBP) in rural China. We conducted a cross-sectional survey in a rural adult Chinese population during July to August of 2007 and 2008. The relationship between various obesity categories and HBP was analysed by gender for 20 194 participants. Obesity categories were classified as general and central obesity in terms of body mass index (BMI) and waist circumference (WC), respectively; cross-classification of BMI and WC created another four groups: both BMI and WC normal (BNWN), BMI obesity and WC normal (BOWN), BMI normal and WC obesity (BNWO), and both BMI and WC obesity (BOWO). The rates of HBP for BNWN, BOWN, BNWO and BOWO groups were 20.8, 63.3, 39.8 and 48.7%, respectively, for men and 20.1, 28.0, 34.7 and 54.2%, respectively, for women. As compared with BNWN group, the adjusted odds ratio (OR) and 95% confidence interval (CI) of BOWN and BOWO for having HBP in men were 6.227 (2.712–14.300) and 4.842 (4.036–5.808), respectively. As compared with BNWN women, BNWO and BOWO women showed increased risk of HBP (adjusted OR=1.342, 95%CI=1.139–1.581 and adjusted OR=4.530, 95%CI=4.004–5.124, respectively). The prevalence of general and central obesity was strongly related to HBP. Men with obese BMI but normal WC may be at increased risk of HBP. Women should pay more attention to changes in visceral adipose distribution and keep both BMI and WC values within normal ranges to reduce obesity-related health problems.

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References

  1. Rahmouni K . Obesity-associated hypertension: recent progress in deciphering the pathogenesis. Hypertension 2014; 64 (2): 215–221.

    Article  CAS  Google Scholar 

  2. Rodgers A, Lawes C, MacMahon S . Reducing the global burden of blood pressure-related cardiovascular disease. J Hypertens 2000; 18 (1): S3–S6.

    Article  CAS  Google Scholar 

  3. Wu Y, Huxley R, Li L, Anna V, Xie G, Yao C et al. Prevalence, awareness, treatment, and control of hypertension in China: data from the China National Nutrition and Health Survey 2002. Circulation 2008; 118 (25): 2679–2686.

    Article  Google Scholar 

  4. Wang Y, Mi J, Shan XY, Wang QJ, Ge KY . Is China facing an obesity epidemic and the consequences? The trends in obesity and chronic disease in China. Int J Obesity. 2007; 31 (1): 177–188.

    Article  CAS  Google Scholar 

  5. Ostchega Y, Hughes JP, Terry A, Fakhouri TH, Miller I . Abdominal obesity, body mass index, and hypertension in US adults: NHANES 2007-2010. Am J Hypertens 2012; 25 (12): 1271–1278.

    PubMed  Google Scholar 

  6. Du T, Sun X, Yin P, Huo R, Ni C, Yu X . Increasing trends in central obesity among Chinese adults with normal body mass index, 1993-2009. BMC Public Health 2013; 13: 327.

    Article  Google Scholar 

  7. Decoda Study Group, Nyamdorj R, Qiao Q, Lam TH, Tuomilehto J, Ho SY et al. BMI compared with central obesity indicators in relation to diabetes and hypertension in Asians. Obesity 2008; 16 (7): 1622–1635.

    Article  Google Scholar 

  8. Feng RN, Zhao C, Wang C, Niu YC, Li K, Guo FC et al. BMI is strongly associated with hypertension, and waist circumference is strongly associated with type 2 diabetes and dyslipidemia, in northern Chinese adults. J Epidemiol 2012; 22 (4): 317–323.

    Article  Google Scholar 

  9. Wildman RP, Gu DF, Reynolds K, Duan XF, Wu XQ, He J . Are waist circumference and body mass index independently associated with cardiovascular disease risk in Chinese adults? Am J Clin Nutr 2005; 82 (6): 1195–1202.

    Article  CAS  Google Scholar 

  10. Zhang XG, Yao S, Sun GZ, Yu SS, Sun ZQ, Zheng LQ et al. Total and abdominal obesity among rural Chinese women and the association with hypertension. Nutrition 2012; 28 (1): 46–52.

    Article  Google Scholar 

  11. Chen XF, Li LZ, Zhou T, Li ZZ . Prevalence of hypertension in rural areas of China: a meta-analysis of published studies. PLos ONE 2014; 9 (12): e115462.

    Article  Google Scholar 

  12. Li YQ, Sun CQ, Li LL, Wang L, Guo YR, You AG et al. Resting heart rate as a marker for identifying the risk of undiagnosed type 2 diabetes mellitus: a cross-sectional survey. BMC Public Health 2014; 14: 1052.

    Article  Google Scholar 

  13. Wang C, Li L, Wang L, Ping Z, Flory MT, Wang G et al. Evaluating the risk of type 2 diabetes mellitus using artificial neural network: an effective classification approach. Diabetes Res Clin Pract 2013; 100 (1): 111–118.

    Article  Google Scholar 

  14. Geographical variation in the major risk factors of coronary heart disease in men and women aged 35-64 years. The WHO MONICA Project. World Health Stat Q 1988; 41 (3–4): 115–140.

  15. Perloff D, Grim C, Flack J, Frohlich ED, Hill M, Mcdonald M et al. Human blood-pressure determination by sphygmomanometry. Circulation 1993; 88 (5): 2460–2470.

    Article  CAS  Google Scholar 

  16. Bairaktari E, Hatzidimou K, Tzallas C, Vini M, Katsaraki A, Tselepis A et al. Estimation of LDL cholesterol based on the Friedewald formula and on apo B levels. Clin Biochem 2000; 33 (7): 549–555.

    Article  CAS  Google Scholar 

  17. Gu D, Reynolds K, Wu X, Chen J, Duan X, Muntner P et al. Prevalence, awareness, treatment, and control of hypertension in china. Hypertension 2002; 40 (6): 920–927.

    Article  CAS  Google Scholar 

  18. Zhou B, Coorperative Meta-Analysis Group Of China Obesity Task Force. [Predictive values of body mass index and waist circumference to risk factors of related diseases in Chinese adult population]. Zhonghua Liu Xing Bing Xue Za Zhi 2002; 23 (1): 5–10.

    PubMed  Google Scholar 

  19. Alberti KG, Zimmet P, Shaw J, Group IDFETFC. The metabolic syndrome—a new worldwide definition. Lancet 2005; 366 (9491): 1059–1062.

    Article  Google Scholar 

  20. Gao Y, Chen G, Tian HM, Lin LX, Lu JM, Weng JP et al. Prevalence of hypertension in China: a cross-sectional study. PLos ONE 2013; 8 (6): e65938.

    Article  CAS  Google Scholar 

  21. Wang JW, Zhang LX, Wang F, Liu LS, Wang HY, CNSCK D . Prevalence, awareness, treatment, and control of hypertension in china: results from a national survey. Am J Hypertens 2014; 27 (11): 1355–1361.

    Article  CAS  Google Scholar 

  22. Anand S, Fan VY, Zhang JH, Zhang LL, Ke Y, Dong Z et al. China's human resources for health: quantity, quality, and distribution. Lancet 2008; 372 (9651): 1774–1781.

    Article  Google Scholar 

  23. Ranasinghe P, Cooray DN, Jayawardena R, Katulanda P . The influence of family history of Hypertension on disease prevalence and associated metabolic risk factors among Sri Lankan adults. BMC Public Health 2015; 15: 576.

    Article  Google Scholar 

  24. Binder A . A review of the genetics of essential hypertension. Curr Opin Cardiol 2007; 22 (3): 176–184.

    Article  Google Scholar 

  25. Ji LD, Cai XB, Zhang LN, Fei LJ, Wang L, Su J et al. Association between polymorphisms in the renin-angiotensin-aldosterone system genes and essential hypertension in the Han Chinese population. PLos ONE 2013; 8 (8): e72701.

    Article  CAS  Google Scholar 

  26. Liu JL, Wang LJ, Liu Y, Wang ZG, Li M, Zhang B et al. The association between endothelial nitric oxide synthase gene G894T polymorphism and hypertension in Han Chinese: a case-control study and an updated meta-analysis. Ann Hum Biol 2015; 42 (2): 184–194.

    Article  CAS  Google Scholar 

  27. Dickinson HO, Mason JM, Nicolson DJ, Campbell F, Beyer FR, Cook JV et al. Lifestyle interventions to reduce raised blood pressure: a systematic review of randomized controlled trials. J Hypertens 2006; 24 (2): 215–233.

    Article  CAS  Google Scholar 

  28. Zhao JM, Barry PJ . Income diversification of rural households in China. Can J Agr Econ 2014; 62 (3): 307–324.

    Article  Google Scholar 

  29. Jin MJ, Chen BB, Mao YY, Zhu YM, Yu YX, Wu YY et al. Prevalence of overweight and obesity and their associations with socioeconomic status in a rural Han Chinese adult population. PLoS one 2013; 8 (11): e79946.

    Article  CAS  Google Scholar 

  30. Yang J, Lu F, Zhang C, Liu Z, Zhao Y, Gao F et al. Prevalence of prehypertension and hypertension in a Chinese rural area from 1991 to 2007. Hypertens Res 2010; 33 (4): 331–337.

    Article  Google Scholar 

  31. Janssen I, Heymsfield SB, Wang ZM, Ross R . Skeletal muscle mass and distribution in 468 men and women aged 18-88 yr. J Appl Physiol 2000; 89 (1): 81–88.

    Article  CAS  Google Scholar 

  32. James PT . Obesity: the worldwide epidemic. Clin Dermatol 2004; 22 (4): 276–280.

    Article  Google Scholar 

  33. Nyamdorj R, Grp DS . BMI compared with central obesity indicators in relation to diabetes and hypertension in Asians. Obesity 2008; 16 (7): 1622–1635.

    Article  CAS  Google Scholar 

  34. Guo X, Li Z, Guo L, Zheng L, Yu S, Yang H et al. An update on overweight and obesity in rural Northeast China: from lifestyle risk factors to cardiometabolic comorbidities. BMC Public Health 2014; 14: 1046.

    Article  Google Scholar 

  35. Li ZK, Yang X, Wang AX, Qiu J, Wang W, Song QF et al. Association between ideal cardiovascular health metrics and depression in Chinese population: a cross-sectional study. Sci Rep 2015; 5: 11564.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

This study was supported by the National Natural Science Foundation of China (Nos. 81373074 and 81402752), Science and Technology Development Foundation of Shenzhen (No. JCYJ20140418091413562) and Natural Science Foundation of Shenzhen University (No. 201404).

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Correspondence to J Zhao or D Hu.

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Zhao, Y., Zhang, M., Luo, X. et al. Association of obesity categories and high blood pressure in a rural adult Chinese population. J Hum Hypertens 30, 613–618 (2016). https://doi.org/10.1038/jhh.2016.1

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