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The prevalence of obesity and metabolic abnormalities in eastern China: a cross-sectional study

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International Journal of Diabetes in Developing Countries Aims and scope Submit manuscript

Abstract

Objective

Populations in different countries and regions have different characteristics of cardiovascular risk factors. Grasping these characteristics and developing targeted prevention and management strategies are essential to prevent cardiovascular diseases (CVD). So we conducted this study to investigate the prevalence of overweight/obesity and metabolic abnormalities of adults in eastern China.

Methods

We collected data of 103,183 adults who received routine physical examination. Compared the prevalence of overweight/obesity, metabolic indicators, and the proportion of metabolic abnormalities in different age and gender subgroups.

Results

Compared with other age and gender subgroups, middle-aged male had a significantly higher prevalence of general and abdominal overweight/obesity (48.8%/15.1% and 43%/13.3%, respectively). In addition, the prevalence of high DBP, hyperuricemia, high TC, TG, LDL, Non-HDLc, and low HDL-C were 24.6%, 15.8%, 34.5%, 45.1%, 19.4%, 23.6%, and 36.7%, respectively in midlife male.

Conclusions

Middle-aged male had higher level of CVD risk in eastern China. Government, individuals, and health care professionals should develop targeted age and gender-based intervention to prevent weight gain and manage metabolic abnormalities.

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References

  1. GBD 2015 Obesity Collaborators, Afshin A, Forouzanfar MH, Reitsma MB, Sur P, Estep K, et al. Health effects of overweight and obesity in 195 countries over 25 years. N Engl J Med. 2017;377(1):13–27.

    Article  Google Scholar 

  2. NCD Risk Factor Collaboration (NCD-RisC). Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19.2 million participants. Lancet. 2016;387(10026):1377–96.

    Article  Google Scholar 

  3. NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128.9 million children, adolescents, and adults. Lancet. 2017;390(10113):2627–42.

    Article  Google Scholar 

  4. Emerging Risk Factors Collaboration, Wormser D, Kaptoge S, Di Angelantonio E, Wood AM, Pennells L, et al. Separate and combined associations of body-mass index and abdominal adiposity with cardiovascular disease: collaborative analysis of 58 prospective studies. Lancet. 2011;377(9771):1085–95.

    Article  Google Scholar 

  5. Kollia N, Panagiotakos DB, Georgousopoulou E, Chrysohoou C, Tousoulis D, Stefanadis C, et al. Exploring the association between low socioeconomic status and cardiovascular disease risk in healthy Greeks, in the years of financial crisis (2002–2012): the ATTICA study. Int J Cardiol. 2016;223:758–63.

    Article  Google Scholar 

  6. Kershaw KN, Osypuk TL, Do DP, De Chavez PJ, Diez Roux AV. Neighborhood-level racial/ethnic residential segregation and incident cardiovascular disease: the multi-ethnic study of atherosclerosis. Circulation. 2015;131(2):141–8.

    Article  Google Scholar 

  7. Schultz WM, Kelli HM, Lisko JC, Varghese T, Shen J, Sandesara P, et al. Socioeconomic status and cardiovascular outcomes: challenges and interventions. Circulation. 2018;137(20):2166–78.

    Article  Google Scholar 

  8. Andrieieva A, Babak O, Pluzhnykova O. Influence of visfatin and endotelial nitric oxide synthase on the functional state of the vascular wall in hypertensive patients with abdominal obesity. Atherosclerosis. 2017;263:e127.

    Article  Google Scholar 

  9. Fan J, Xu JH, Wang J, Wang GZ, Zhang YQ, Liu XZ. Effects of laparoscopic adjustable gastric banding on weight loss, metabolism, and obesity-related comorbidities: 5-year results in China. Obes Surg. 2014;24(6):891–6.

    Article  Google Scholar 

  10. Chobanian AV, Bakris GL, Black HR, Cushman WC, Green LA, Izzo JL Jr, et al. The seventh report of the Joint National Committee on prevention, detection, evaluation, and treatment of high blood pressure: the JNC 7 report. JAMA. 2003;289(19):2560–72.

    Article  CAS  Google Scholar 

  11. WHO Expert Consultation. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet. 2004;363(9403):157–63.

    Article  Google Scholar 

  12. American Diabetes Association. Standards of medical care in diabetes-2018. Diabetes Care. 2018;41(Suppl 1):S144–51.

    Article  Google Scholar 

  13. Liu XZ, Gao Y, Fan J, Xu X, Zhang J, Gao J, et al. Metabolic abnormalities in rheumatoid arthritis patients with comorbid diabetes mellitus. Clin Rheumatol. 2018;37(1):219–26.

    Article  Google Scholar 

  14. Zhou J, Wang Y, Lian F, Chen D, Qiu Q, Xu H, et al. Physical exercises and weight loss in obese patients help to improve uric acid. Oncotarget. 2017;8(55):94893–9.

    PubMed  PubMed Central  Google Scholar 

  15. Johansson HE, Wåhlén A, Aldenbäck E, Haenni A. Platelet Counts counts and liver enzymes after gastric bypass surgery. Obes Surg. 2017;28(6):1526–31.

    Article  Google Scholar 

  16. Li H, Yan X, Deng X, Yang L, Zhao S, Zou J, et al. Magnitude of and gender differences in cardiovascular risk profiles among community residents in Shenzhen. China Public Health. 2017;147:59–65.

    Article  CAS  Google Scholar 

  17. Yu D, Shi J, Zhang H, Wang Z, Lu Y, Zhang B, et al. Identifying patterns of non-communicable diseases in developed eastern coastal China: a longitudinal study of electronic health records from 12 public hospitals. BMJ Open. 2017;7(10):e016007.

    Article  Google Scholar 

  18. Qasim A, Turcotte M, de Souza RJ, Samaan MC, Champredon D, Dushoff J, et al. On the origin of obesity: identifying the biological, environmental and cultural drivers of genetic risk among human populations. Obes Rev. 2018;19(2):121–49.

    Article  CAS  Google Scholar 

  19. Siljee JE, Wang Y, Bernard AA, Ersoy BA, Zhang S, Marley A, et al. Subcellular localization of MC4R with ADCY3 at neuronal primary cilia underlies a common pathway for genetic predisposition to obesity. Nat Genet. 2018;50(2):180–5.

    Article  CAS  Google Scholar 

  20. Goodarzi MO. Genetics of obesity: what genetic association studies have taught us about the biology of obesity and its complications. Lancet Diabetes Endocrinol. 2018;6(3):223–36.

    Article  CAS  Google Scholar 

  21. O’Brien EC, Alberdi G, McAuliffe FM. The influence of socioeconomic status on gestational weight gain: a systematic review. J Public Health (Oxf). 2018;40(1):41–55.

    Article  Google Scholar 

  22. Weihrauch-Blüher S, Richter M, Staege MS. Body weight regulation, socioeconomic status and epigenetic alterations. Metabolism. 2018;85:109–15.

    Article  Google Scholar 

  23. Kivimäki M, Kawachi I. Work stress as a risk factor for cardiovascular disease. Curr Cardiol Rep. 2015;17(9):630.

    Article  Google Scholar 

  24. Safar ME. Arterial stiffness as a risk factor for clinical hypertension. Nat Rev Cardiol. 2018;15(2):97–105.

    Article  Google Scholar 

  25. Lim K, Jackson KL, Sata Y, Head GA. Factors responsible for obesity-related hypertension. Curr Hypertens Rep. 2017;19(7):53.

    Article  Google Scholar 

  26. Kivimäki M, Steptoe A. Effects of stress on the development and progression of cardiovascular disease. Nat Rev Cardiol. 2018;15(4):215–29.

    Article  Google Scholar 

  27. Liu XZ, Li HH, Huang S, Zhao DB. Association between hyperuricemia and nontraditional adiposity indices. Clin Rheumatol. 2018. https://doi.org/10.1007/s10067-018-4374-x.

    Article  Google Scholar 

  28. King C, Lanaspa MA, Jensen T, Tolan DR, Sánchez-Lozada LG, Johnson RJ. Uric acid as a cause of the metabolic syndrome. Contrib Nephrol. 2018;192:88–102.

    Article  Google Scholar 

  29. Pomeranz JL, Mozaffarian D, Micha R. Can the government require health warnings on sugar-sweetened beverage advertisements? JAMA. 2018;319(3):227–8.

    Article  Google Scholar 

  30. Yan S, Shen X, Liang L, Yang L, Zhang Y, Liao M, et al. Evaluation of three BMI criteria performance to diagnose obesity in a Chinese population. Int J Diabetes Dev Ctries. 2016;36(2):158–66.

    Article  Google Scholar 

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Correspondence to Xing Zhen Liu or Shan Huang.

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Ethical approval was obtained from the ethics review boards of the Hangzhou Aeronautical Sanatorium of Chinese Air Force.

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The authors declare that they have no conflict of interest.

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Fan, J., Li, H.H., Liu, X.Z. et al. The prevalence of obesity and metabolic abnormalities in eastern China: a cross-sectional study. Int J Diabetes Dev Ctries 39, 685–691 (2019). https://doi.org/10.1007/s13410-019-00725-2

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  • DOI: https://doi.org/10.1007/s13410-019-00725-2

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