Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

Lipid accumulation product is closely associated with hypertension and prehypertension in prediabetic population in China: results from the REACTION study

Abstract

Prediabetes with hypertension or prehypertension increases the risk of cardiovascular events. Lipid accumulation product (LAP) is a powerful marker of visceral obesity. The current study aimed to explore the relationship between LAP and hypertension and prehypertension among prediabetic individuals. A total of 12,388 prediabetic participants from the REACTION study were recruited. LAP was calculated from waist circumference and fasting triglyceride levels. Multiple logistic regression models were conducted to assess the relationship between LAP and hypertension and prehypertension. Multiple logistic regression analysis showed that elevated LAP was associated with hypertension (Q2: odds ratio (OR): 1.263, P < 0.001; Q3: OR: 1.613, P < 0.001; Q4: OR: 1.754, P < 0.001) and prehypertension (Q2: OR: 1.255, P = 0.005; Q3: OR: 1.340, P = 0.002; Q4: OR: 1.765, P < 0.001). The results of the stratified analysis showed that prediabetic people with higher LAP levels and characterized by overweight, normal weight and a high waist-to-hip ratio (WHR) were more likely to have hypertension, and prediabetic people with higher LAP levels and characterized by overweight, normal weight, a high WHR, age <65, and low and high levels of physical activity were more likely to have prehypertension. In conclusion, visceral obesity assessed by LAP is significantly associated with hypertension and prehypertension in the Chinese prediabetic population.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Similar content being viewed by others

Data availability

The datasets are not freely available due to participants’ privacy protection.

References

  1. GBD 2017 Risk Factor Collaborators. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018;392:1288541106e–1931995664e.

    Google Scholar 

  2. Lewington SLBCR. The burden of hypertension and associated risk for cardiovascular mortality in China. JAMA Intern Med. 2016;4:524–32.

    Article  Google Scholar 

  3. Vasan RS, Larson MG, Leip EP, Levy D. Assessment of frequency of progression to hypertension in non-hypertensive participants in the Framingham Heart Study: a cohort study. Lancet. 2001;358:1682–6.

    Article  CAS  Google Scholar 

  4. De Marco M, de Simone G, Roman MJ, Chinali M, Lee ET, Russell M, et al. Cardiovascular and metabolic predictors of progression of prehypertension into Hypertension into hypertension: the Strong Heart Study. Hypertension. 2009;54:974–80.

    Article  Google Scholar 

  5. Huang Y, Su L, Cai X, Mai W, Wang S, Hu Y, et al. Association of all-cause and cardiovascular. mortality with prehypertension: a meta-analysis. Am Heart J. 2014;167:160–8.

    Article  Google Scholar 

  6. Yong-Jun Wang ZLHG China Stroke Statistics: an update on the 2019 report from the National Center for Healthcare Quality Management in Neurological Diseases, China National Clinical Research Center for Neurological Diseases, the Chinese Stroke Association, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention and Institute for Global Neuroscience and Stroke Collaborations. Stroke Vasc Neurol, 2022, 20: https://doi.org/10.1136/svn-2021-001374.

  7. Cheung BM, Wat NM, Tso AW, Tam S, Thomas GN, Leung GM, et al. Association between raised blood pressure and dysglycemia in Hong Kong Chinese. Diabetes care. 2008;31:1889–91.

    Article  CAS  Google Scholar 

  8. Cheung BM. The Hypertension–Diabetes Continuum. J Cardiovasc Pharm. 2010;55:333–9.

    Article  CAS  Google Scholar 

  9. Hui-Hui Liu YCSL. Impacts of prediabetes mellitus alone or plus hypertension on the coronary severity and cardiovascular outcomes. Hypertension, 2018;71:1039–46.

  10. Geva M, Shlomai G, Berkovich A, Maor E, Leibowitz A, Tenenbaum A, et al. The association between fasting plasma glucose and glycated hemoglobin in the prediabetes range and future development of hypertension. Cardiovasc Diabetol. 2019;18:53.

    Article  Google Scholar 

  11. Levin G, Kestenbaum B, Ida Chen YD, Jacobs DR Jr, Psaty BM, Rotter JI, et al. Glucose, insulin, and incident hypertension in the multi-ethnic study of atherosclerosis. Am J Epidemiol. 2010;172:1144–54.

    Article  Google Scholar 

  12. Modan M, Halkin H, Fuchs Z, Lusky A, Chetrit A, Segal P, et al. Hyperinsulinemia–a link between glucose intolerance, obesity, hypertension, dyslipoproteinemia, elevated serum uric acid and internal cation imbalance. Diabete Metab. 1987;13:375–80.

    CAS  Google Scholar 

  13. Huang Y, Cai X, Mai W, Li M, Hu Y. Association between prediabetes and risk of cardiovascular disease and all cause mortality: systematic review and meta-analysis. BMJ 2016;355:i5953.

    Article  Google Scholar 

  14. Qiu M, Shen W, Song X, Ju L, Tong W, Wang H, et al. Effects of prediabetes mellitus alone or plus hypertension on subsequent occurrence of cardiovascular disease and diabetes mellitus: longitudinal study. Hypertension 2015;65:525–30.

    Article  CAS  Google Scholar 

  15. Zhang Y, Lee ET, Devereux RB. Prehypertension, diabetes, and cardiovascular disease risk in a population-based sample: the Strong Heart Study. Hypertension. 2006;47:410–4.

    Article  CAS  Google Scholar 

  16. Liu X, Song Q, Wu S, Zhou W, Wang X. Prediabetes and risk for myocardial infarction by hypertension status in a Chinese population: a prospective cohort study. J Hypertens. 2021;39:77–83.

    Article  CAS  Google Scholar 

  17. Arnett DK, Blumenthal RS, Albert MA, Buroker AB, Goldberger ZD, Hahn EJ, et al. 2019 ACC/AHA Guideline on the Primary Prevention of Cardiovascular Disease: Executive Summary: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. J Am Coll Cardiol 2019;74:1376–414.

    Article  Google Scholar 

  18. Lavie CJ, Milani RV, Ventura HO. Obesity and cardiovascular disease: risk factor, paradox, and impact of weight loss. J Am Coll Cardiol. 2009;53:1925–32.

    Article  Google Scholar 

  19. Hotamisligil GS. Inflammation and metabolic disorders. Nature 2006;444:860–7.

    Article  CAS  Google Scholar 

  20. Gupta AK, Johnson WD. Prediabetes and prehypertension in disease free obese adults correlate with an exacerbated systemic proinflammatory milieu. J Inflamm. 2010;7:36.

    Article  Google Scholar 

  21. Bourlier V, Bouloumie A. Role of macrophage tissue infiltration in obesity and insulin resistance. Diabetes Metab. 2009;35:251–60.

    Article  CAS  Google Scholar 

  22. Sullivan CA, Kahn SE, Fujimoto WY. Change in intra-abdominal fat predicts the risk of hypertension in Japanese Americans. Hypertension. 2015;66:134–40.

    Article  CAS  Google Scholar 

  23. Luo Y, Ma X, Shen Y. Positive relationship between serum low-density lipoprotein cholesterol levels and visceral fat in a Chinese nondiabetic population. PloS one. 2014;9:e112715.

    Article  Google Scholar 

  24. Kahn HS. The “ lipid accumulation product “ performs better than the body mass index for recognizing cardiovascular risk: a population-based comparison. BMC Cardiovasc Disord. 2005;10:1–10.

    Google Scholar 

  25. Roriz AKC, Passos LCS, de Oliveira CC. Evaluation of the accuracy of anthropometric clinical indicators of visceral fat in adults and elderly. PloS one. 2014;9:e103499.

    Article  Google Scholar 

  26. Du T, Yuan G, Zhang M, Zhou X, Sun X, Yu X. Clinical usefulness of lipid ratios, visceral adiposity indicators, and the triglycerides and glucose index as risk markers of insulin resistance. Cardiovasc Diabetol. 2014;13:146.

    Article  Google Scholar 

  27. Yan S, Zheng Q, Sun D, Wu Y, Li T, Zhong P. Diagnostic and predictive values of LAP in hypertension: a cross-sectional study in chinese population older than 65 years. Int J Hypertens. 2021;2021:3066007.

    Article  Google Scholar 

  28. Song J, Zhao Y, Nie S. The effect of lipid accumulation product and its interaction with other factors on hypertension risk in Chinese Han population: a cross-sectional study. PloS one. 2018;13:e198105.

    Google Scholar 

  29. Nguyen Ngoc H, Kriengsinyos W, Rojroongwasinkul N, Aekplakorn W. Association of adiposity indices with hypertension in middle-aged and elderly Thai population: National Health Examination Survey 2009 (NHES-IV). J Cardiovasc Dev Dis. 2019;6:13.

    Article  Google Scholar 

  30. Song J, Chen X, Zhao Y, Mi J, Wu X, Gao H. Risk factors for prehypertension and their interactive effect: a cross- sectional survey in China. BMC Cardiovasc Disord. 2018;18:182.

    Article  CAS  Google Scholar 

  31. Rivera-Mancia S, Colin-Ramirez E, Cartas-Rosado R. Indicators of accumulated fat are stronger associated with prehypertension compared with indicators of circulating fat: A cross-sectional study.[J]. Medicine 2018;97:e11869.

    Article  Google Scholar 

  32. Ning G. Risk Evaluation of cAncers in Chinese diabeTic Individuals: a lONgitudinal (REACTION) study. J Diabetes. 2012;4:172–3.

    Article  Google Scholar 

  33. Li B, Wang J, Zhou X, Liu Y, Wang W, Gao Z, et al. Chinese Visceral Adiposity Index Is More Closely Associated With Hypertension and Prehypertension Than Traditional Adiposity Indices in Chinese Population: Results From the REACTION Study. Front Endocrinol. 2022;13:921997.

    Article  Google Scholar 

  34. Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF, Feldman HI, et al. A new equation to estimate glomerular filtration rate. Ann Intern Med. 2009;150:604–12.

    Article  Google Scholar 

  35. Hu F, Yu R, Han F, Li J, Zhou W, Wang T, et al. Does body mass index or waist-hip ratio correlate with arterial stiffness based on brachial-ankle pulse wave velocity in Chinese rural adults with hypertension? BMC Cardiovasc Disord. 2021;21:573.

    Article  Google Scholar 

  36. Song J, Chen X, Jiang Y, Mi J, Zhang X, Zhao Y. Association and interaction analysis of lipid accumulation product with impaired fasting glucose risk: a cross-sectional survey. J Diabetes Res. 2019;2019:9014698.

    Article  Google Scholar 

  37. Velija-Asimi Z, Burekovic A, Dujic T, Dizdarevic-Bostandzic A, Semiz S. Incidence of prediabetes and risk of developing cardiovascular disease in women with polycystic ovary syndrome. Bosn J Basic Med Sci. 2016;16:298–306.

    Google Scholar 

  38. Li HH, Wang JM, Ji YX, Lin L, Li SW, Cai D, et al. Association of visceral adiposity surrogates with impaired fasting glucose in nonobese individuals. Metab Syndr Relat Disord. 2020;18:128–33.

    Article  Google Scholar 

  39. Jung JY, Oh C, Choi J, Ryoo J, Park S. Long-term risk of hypertension in normoglycemia and prediabetes, and their relation to the change of glycemic state. Am J Hypertens. 2018;31:10413B–10423B.

    Article  Google Scholar 

  40. Zhao Y, Sun H, Wang B, Zhang M, Luo X, Ren Y, et al. Impaired fasting glucose predicts the development of hypertension over 6 years in female adults- Results from the rural Chinese cohort study. J Diabetes Complications. 2017;31:1090–5.

    Article  Google Scholar 

  41. Wang X, Wang M, Shao S, Zhang Y, Liu S, Gao Y, et al. Analysis of influencing factor of coexisting prediabetes and prehypertension in adult residents of Jilin Province. BMC Endocr Disord. 2018;18:89.

    Article  Google Scholar 

  42. Lemieux I, Pascot A, Couillard C. Hypertriglyceridemic waist: a marker of the atherogenic metabolic triad (hyperinsulinemia; hyperapolipoprotein B; small, dense LDL) in men? Circulation 2000;102:179–84.

    Article  CAS  Google Scholar 

  43. Minrui X, Mingtao H, Deren Q. Hypertriglyceridemic waist phenotype and lipid accumulation product: two comprehensive obese indicators of waist circumference and triglyceride to predict type 2 Diabetes Mellitus in Chinese population. J Diabetes Res. 2020;2020:9157430.

    Google Scholar 

  44. Sasaki N, Ozono R, Maeda R, Higashi Y. Risk of hypertension in middle-aged and elderly participants with newly diagnosed type 2 diabetes and prediabetes. BMJ Open Diabetes Res Care. 2020;8:e001500.

    Article  Google Scholar 

  45. Kahn HS, Cheng YJ. Longitudinal changes in BMI and in an index estimating excess lipids among white and black adults in the United States. Int J Obes. 2008;32:136–43.

    Article  CAS  Google Scholar 

  46. Dai H, Wang W, Chen R, Chen Z, Lu Y, Yuan H. Lipid accumulation product is a powerful tool to predict non-alcoholic fatty liver disease in Chinese adults. Nutr Metab. 2017;14:49.

    Article  Google Scholar 

  47. Blumenthal JA, Sherwood A, Gullette EC. Exercise and weight loss reduce blood pressure in men and women with mild hypertension: effects on cardiovascular, metabolic, and hemodynamic functioning. Arch Intern Med. 2000;160:1947–58.

    Article  CAS  Google Scholar 

  48. Fu J, Liu Y, Zhang L, Zhou L, Li D, Quan H, et al. Nonpharmacologic interventions for reducing blood pressure in adults with prehypertension to established hypertension. J Am Heart Assoc. 2020;9:e16804.

    Article  Google Scholar 

  49. Saz-Lara A, Cavero-Redondo I, Álvarez-Bueno C, Notario-Pacheco B, Reina-Gutiérrez S, Sequí-Domínguez I, et al. What type of physical exercise should be recommended for improving arterial stiffness on adult population? A network meta-analysis. Eur J Cardiovasc Nurs. 2021;20:696–716.

    Article  Google Scholar 

  50. Kato M, Nihei Green F, Hotta K, Tsukamoto T, Kurita Y, Kubo A, et al. The efficacy of stretching exercises on arterial stiffness in middle-aged and older adults: a meta-analysis of randomized and non-randomized controlled trials.[J]. Int J Environ Res Public Health. 2020,17:5643.

  51. Möhlenkamp S, Lehmann N, Breuckmann F, Bröcker-Preuss M, Nassenstein K, Halle M, et al. Running: the risk of coronary events: Prevalence and prognostic relevance of coronary atherosclerosis in marathon runners. Eur Heart J. 2008;29:1903–10.

    Article  Google Scholar 

  52. Ibrahim MM. Subcutaneous and visceral adipose tissue: structural and functional differences. Obes Rev. 2010;11:11–18.

    Article  Google Scholar 

  53. Blake DR, Meigs JB, Muller DC, Najjar SS, Andres R, Nathan DM. Impaired glucose tolerance, but not impaired fasting glucose, is associated with increased levels of coronary heart disease risk factors: results from the Baltimore Longitudinal Study on Aging. Diabetes. 2004;53:2095–2100.

    Article  CAS  Google Scholar 

  54. Ohishi M. Hypertension with diabetes mellitus- physiology and pathology. Hypertens Res. 2018;41:389–93.

    Article  Google Scholar 

  55. Wu J, Zhong Y, Yue S, Guan P, Zhang G, Liu L, et al. Association between lipid accumulation product and diabetic retinopathy based on a community-based survey in Chinese with type 2 diabetes. Diabetes Metab Syndr Obes. 2019;12:513–8.

    Article  Google Scholar 

Download references

Acknowledgements

We would like to thank the participants in this study.

Funding

This study is supported by the Beijing Municipal Science and Technology Commission Project (Z201100005520014).

Author information

Authors and Affiliations

Authors

Contributions

BL and JW contributed equally to this work and share first authorship. BL and JW contributed to the conception and design of the study. XZ, WW, ZG, XT, LY, QW, ZL, GQ, LC and GN recruited the subjects and supervised the study. BL analyzed the data and wrote the initial draft of the paper. YM, BL, and JW contributed to the writing, review, and revision of the manuscript. All authors contributed to the article and approved the submitted version.

Corresponding author

Correspondence to Yiming Mu.

Ethics declarations

Conflict of interest

The authors declare no competing interests.

Ethics approval and consent to participate

The Committee on Human Research at Rui-Jin Hospital affiliated with the School of Medicine, Shanghai Jiao Tong University approved the study protocol. Informed consent was provided by all participants before data collection.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, B., Wang, J., Zhou, X. et al. Lipid accumulation product is closely associated with hypertension and prehypertension in prediabetic population in China: results from the REACTION study. Hypertens Res 46, 708–719 (2023). https://doi.org/10.1038/s41440-022-01113-w

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41440-022-01113-w

Keywords

This article is cited by

Search

Quick links