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Association of lipid accumulation product with type 2 diabetes mellitus, hypertension, and mortality: a systematic review and meta-analysis

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Abstract

Purpose

Novel anthropometric measures are simple, applicable, and inexpensive tools for cardiovascular risk assessment. This study evaluates the association of lipid accumulation product (LAP) with hypertension, type 2 diabetes mellitus (T2DM), and all-cause mortality, and compares it with other anthropometric measures.

Methods

PubMed, Web of Science, EMBASE, and Scopus were systematically searched for articles published until May 15, 2021. We included all the studies that had measured LAP predictability for T2DM, all-cause mortality, and hypertension with no limitation in comorbidities and follow-up duration. We assessed the predictability measures of LAP for the aforementioned outcomes. We also performed a meta-analysis on four articles on mortality using an inverse variance method by the “meta” package in R software.

Results

Twenty-nine studies were included in the review after applying the eligibility criteria. The hazard ratio for all-cause mortality per one standard deviation increment of LAP was 1.24 (95% confidence interval [CI]: 1.00–1.53; P = 0.0463) in females, and 1.07 (95% CI: 0.74–1.57; P = 0.709) in males. All included studies found a direct association between LAP with T2DM and hypertension. However, studies used different cut-off points for LAP. Most studies found that LAP was superior in predicting T2DM and hypertension compared to conventional indices, e.g., body mass index and waist circumference. We found that LAP may have higher prognostic significance in females compared to males.

Conclusion

LAP is an inexpensive method to evaluate the risk of all-cause mortality, T2DM, and hypertension, and could outperform conventional anthropometric indices in this regard.

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Data availability

All data generated or analyzed during this study are included in this published article and its supplementary information files.

References

  1. Noncommunicable diseases: Risk factors. World Health Organization. https://www.who.int/data/gho/data/themes/topics/topic-details/GHO/ncd-risk-factors. Accessed Feb 2021.

  2. De Oliveira CC, Roriz AKC, Ramos LB, Gomes NM. Indicators of Adiposity Predictors of Metabolic Syndrome in the Elderly. Ann Nutr Metab. 2017;70(1):9–15.

    Article  PubMed  Google Scholar 

  3. Tian T, Pei H, Chen Z, Hailili G, Wang S, Sun Y, Yao H, Jianghong D. Comparison of lipid accumulation product and body mass index as indicators of diabetes diagnosis among 215,651 Chinese adults. PeerJ. 2020;8:e8483. https://doi.org/10.7717/peerj.8483.

  4. Dai H, Bragazzi NL, Younis A, Zhong W, Liu X, Wu J, et al. Worldwide Trends in Prevalence, Mortality, and Disability-Adjusted Life Years for Hypertensive Heart Disease From 1990 to 2017. Hypertension. 2021;77(4):1223–33.

    Article  CAS  PubMed  Google Scholar 

  5. Ji M, Zhang S, An R. Effectiveness of A Body Shape Index (ABSI) in predicting chronic diseases and mortality: a systematic review and meta-analysis. Obes Rev. 2018;19(5):737–59.

    Article  CAS  PubMed  Google Scholar 

  6. Goh LGH, Dhaliwal SS, Welborn TA, Lee AH, Della PR. Anthropometric measurements of general and central obesity and the prediction of cardiovascular disease risk in women: a cross-sectional study. BMJ Open. 2014;4(2):e004138.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Nuttall FQ. Body Mass Index: Obesity, BMI, and Health: A Critical Review. Nutr Today. 2015;50(3):117–28.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Abolhasani M, Maghbouli N, Karbalai Saleh S, Aghsaeifar Z, Sazgara F, Tahmasebi M, et al. Which anthropometric and metabolic index is superior in hypertension prediction among overweight/obese adults? Integr Blood Press Control. 2021;14:153–61.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Biyik Z, Guney I. Lipid accumulation product and visceral adiposity index: two new indices to predict metabolic syndrome in chronic kidney disease. Eur Rev Med Pharmacol Sci. 2019;23(5):2167–73.

    CAS  PubMed  Google Scholar 

  10. Wang F, Chen Y, Chang Y, Sun G, Sun Y. New anthropometric indices or old ones: which perform better in estimating cardiovascular risks in Chinese adults. BMC Cardiovasc Disord. 2018;18(1):14.

    Article  PubMed  PubMed Central  Google Scholar 

  11. 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;5:26.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Mirmiran P, Bahadoran Z, Azizi F. Lipid accumulation product is associated with insulin resistance, lipid peroxidation, and systemic inflammation in type 2 diabetic patients. Endocrinol Metab. 2014;29(4):443–9.

    Article  Google Scholar 

  13. Motamed N, Razmjou S, Hemmasi G, Maadi M, Zamani F. Lipid accumulation product and metabolic syndrome: a population-based study in northern Iran. Amol J Endocrinol Invest. 2016;39(4):375–82.

    Article  CAS  PubMed  Google Scholar 

  14. Abulmeaty MM, Almajwal AM, Almadani NK, Aldosari MS, Alnajim AA, Ali SB, et al. Anthropometric and central obesity indices as predictors of long-term cardiometabolic risk among Saudi young and middle-aged men and women. Saudi Med J. 2017;38(4):372–80.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Ioachimescu AG, Brennan DM, Hoar BM, Hoogwerf BJ. The lipid accumulation product and all-cause mortality in patients at high cardiovascular risk: a PreCIS database study. Obesity (Silver Spring). 2010;18(9):1836–44.

    Article  CAS  Google Scholar 

  16. Khanmohammadi S, Tavolinejad H, Aminorroaya A, Vasheghani-Farahani A. Efficacy of lipid accumulation product (LAP) in predicting cardiovascular risk modifiers, cardiovascular disease, and mortality: a systematic review and meta-analysis. PROSPERO 2019 CRD42019142239; 2019. https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=142239.

  17. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. J Clin Epidemiol. 2021;134:178–89.

    Article  PubMed  Google Scholar 

  18. NIH. Study Quality Assessment Tools 2021 [updated 7/2021. Available from: https://www.nhlbi.nih.gov/health-topics/study-quality-assessment-tools. Accessed Feb 2021.

  19. Kahn HS. The lipid accumulation product is better than BMI for identifying diabetes: a population-based comparison. Diabetes Care. 2006;29(1):151–3.

    Article  PubMed  Google Scholar 

  20. Hamsaveena SM, Cariappa KB. Lipid accumulation product as a novel index to predict diabetes in women. Res J Phar, Biol Chem Sci. 2014;5(2):760–3.

    Google Scholar 

  21. Wanderley Rocha DRT, Jorge AR, Braulio VB, Arbex AK, Marcadenti A. Visceral adiposity measurements, metabolic and inflammatory profile in obese patients with and without type 2 diabetes mellitus: A crosssectional analysis. Curr Diabetes Rev. 2017;13(1):11–8.

    Article  PubMed  Google Scholar 

  22. Ahn N, Baumeister SE, Amann U, Rathmann W, Peters A, Huth C, et al. Visceral adiposity index (VAI), lipid accumulation product (LAP), and product of triglycerides and glucose (TyG) to discriminate prediabetes and diabetes. Sci Rep. 2019;9(1):9693.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Wang Y, Liu W, Sun L, Zhang Y, Wang B, Yuan Y, et al. A novel indicator, childhood lipid accumulation product, is associated with hypertension in Chinese children and adolescents. Hypertens Res. 2020;43(4):305–12.

    Article  CAS  PubMed  Google Scholar 

  24. Bozorgmanesh M, Hadaegh F, Azizi F. Predictive performances of lipid accumulation product vs. adiposity measures for cardiovascular diseases and all-cause mortality, 8.6-year follow-up: Tehran lipid and glucose study. Lipids Health Dis. 2010;9:100. https://doi.org/10.1186/1476-511X-9-100.

  25. Wehr E, Pilz S, Boehm BO, Marz W, Obermayer-Pietsch B. The Lipid Accumulation Product Is Associated With Increased Mortality in Normal Weight Postmenopausal Women. Obesity. 2011;19(9):1873–80.

    Article  CAS  PubMed  Google Scholar 

  26. Kahn HS, Bullard KM, Barker LE, Imperatore G. Differences between adiposity indicators for predicting all-cause mortality in a representative sample of United States non-elderly adults. PLoS ONE. 2012;7(11):e50428.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Bala C, Gheorghe-Fronea O, Pop D, Pop C, Caloian B, Comsa H, et al. The association between six surrogate insulin resistance indexes and hypertension: A population-based study. Metab Syndr Relat Disord. 2019;17(6):328–33.

    Article  CAS  PubMed  Google Scholar 

  28. Gao X, Wang GY, Wang AL, Xu T, Tong WJ, Zhang YH. Comparison of lipid accumulation product with body mass index as an indicator of hypertension risk among Mongolians in China. Obes Res Clin Pract. 2013;7(4):E308–14.

    Article  PubMed  Google Scholar 

  29. Namazi Shabestari A, Asadi M, Jouyandeh Z, Qorbani M, Kelishadi R. Association of Lipid Accumulation Product with Cardio-Metabolic Risk Factors in Postmenopausal Women. Acta Med Iran. 2016;54(6):370–5.

    PubMed  Google Scholar 

  30. 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(1):13. https://doi.org/10.3390/jcdd6010013.

    Article  CAS  PubMed Central  Google Scholar 

  31. Rotter I, Ryl A, Szylinska A, Kaczmarczyk K, Laszczynska M. Can the lipid accumulation product index indicate sex hormone disorders in aging men? Andrology. 2016;4:74–5.

    Google Scholar 

  32. Song J, Zhao YY, Nie SM, Chen X, Wu XS, Mi J. 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(6):15.

    Article  Google Scholar 

  33. Wakabayashi I, Daimon T. A strong association between lipid accumulation product and diabetes mellitus in Japanese women and men. J Atheroscler Thromb. 2014;21(3):282–8.

    Article  PubMed  Google Scholar 

  34. Wang HY, Chen YT, Sun GZ, Jia PY, Qian H, Sun YX. Validity of cardiometabolic index, lipid accumulation product, and body adiposity index in predicting the risk of hypertension in Chinese population. Postgrad Med. 2018;130(3):325–33.

    Article  PubMed  Google Scholar 

  35. Huang J, Bao X, Xie Y, Zhang X, Peng X, Liu Y, et al. Interaction of lipid accumulation product and family history of hypertension on hypertension risk: a cross-sectional study in the Southern Chinese population. BMJ Open. 2019;9(11):e029253.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Wang C, Fu W, Cao S, Xu H, Tian Q, Gan Y, et al. Association of adiposity indicators with hypertension among Chinese adults. Nutr Metab Cardiovasc Dis. 2021;31(5):1391–400.

    Article  PubMed  Google Scholar 

  37. Bozorgmanesh M, Hadaegh F, Azizi F. Diabetes prediction, lipid accumulation product, and adiposity measures; 6-year follow-up: Tehran lipid and glucose study. Lipids Health Dis. 2010;9:45. https://doi.org/10.1186/1476-511X-9-45.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Brahimaj A, Rivadeneira F, Muka T, Sijbrands EJG, Franco OH, Dehghan A, et al. Novel metabolic indices and incident type 2 diabetes among women and men: the Rotterdam Study. Diabetologia. 2019;62(9):1581–90.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Kavaric N, Klisic A, Ninic A. Are visceral adiposity index and lipid accumulation product reliable indices for metabolic disturbances in patients with type 2 diabetes mellitus? J Clin Lab Anal. 2018;32(3):e22283. https://doi.org/10.1002/jcla.22283.

  40. Kim B, Choi HY, Kim W, Ahn C, Lee J, et al. The cut-off values of surrogate measures for insulin resistance in the Korean population according to the Korean Genome and Epidemiology Study (KOGES). PLOS ONE. 2018;13(11):e0206994. https://doi.org/10.1371/journal.pone.0206994.

  41. Lee JW, Lim NK, Park HY. The product of fasting plasma glucose and triglycerides improves risk prediction of type 2 diabetes in middle-aged Koreans. BMC Endocr Disord. 2018;18:33. https://doi.org/10.1186/s12902-018-0259-x.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Malavazos AE, Cereda E, Ermetici F, Caccialanza R, Briganti S, Rondanelli M, Morricone L. The “lipid accumulation product” is associated with 2-hour postload glucose outcomes in overweight/obese subjects with nondiabetic fasting glucose. Int J Endocrinol. 2015;2015:836941. https://doi.org/10.1155/2015/836941.

  43. Rotter I, Ryl A, Szylinska A, Pawlukowska W, Lubkowska A, Laszczynska M. Lipid Accumulation Product (LAP) as an Index of Metabolic and Hormonal Disorders in Aging Men. Exp Clin Endocrinol Diabetes. 2017;125(3):176–82.

    CAS  PubMed  Google Scholar 

  44. Shi WR, Wang HY, Chen S, Guo XF, Li Z, Sun YX. Estimate of prevalent diabetes from cardiometabolic index in general Chinese population: a community-based study. Lipids Health Dis. 2018;17:9.

    Article  Google Scholar 

  45. Sun K, Lin D, Feng Q, et al. Assessment of adiposity distribution and its association with diabetes and insulin resistance: a population-based study. Diabetol Metab Syndr. 2019;11:51. https://doi.org/10.1186/s13098-019-0450-x.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Wakabayashi I. Influence of age and gender on lipid accumulation product and its relation to diabetes mellitus in Japanese. Clin Chim Acta. 2014;431:221–6.

    Article  CAS  PubMed  Google Scholar 

  47. Wang Z, He S, Chen X. Capacity of different anthropometric measures to predict diabetes in a Chinese population in southwest China: a 15-year prospective study. Diabet Med. 2019;36(10):1261–7.

    Article  CAS  PubMed  Google Scholar 

  48. Wang BY, Zhang M, Liu Y, Sun XZ, Zhang L, Wang CJ, et al. Utility of three novel insulin resistance-related lipid indices for predicting type 2 diabetes mellitus among people with normal fasting glucose in rural China. J Diabetes. 2018;10(8):641–52.

    Article  CAS  PubMed  Google Scholar 

  49. Yan GY, Li F, Elia C, Zhao YT, Wang JG, Chen ZH, et al. Association of lipid accumulation product trajectories with 5-year incidence of type 2 diabetes in Chinese adults: a cohort study. Nutr Metab. 2019;16(1):8.

    Article  Google Scholar 

  50. Xu M, Huang M, Qiang D, Gu J, Li Y, Pan Y, Yao X, Xu W, Tao Y, Zhou Y, Ma H. 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. https://doi.org/10.1155/2020/9157430.

  51. Marcadenti A, Fuchs FD, Moreira LB, Gus M, Fuchs SC. Adiposity phenotypes are associated with type-2 diabetes: LAP index, body adiposity index, and neck circumference. Atherosclerosis. 2017;266:145–50.

    Article  CAS  PubMed  Google Scholar 

  52. Seong JM, Lee JH, Gi MY, Son YH, Moon AE, Park CE, Sung HH, Yoon H. Gender difference in the association of chronic kidney disease with visceral adiposity index and lipid accumulation product index in Korean adults: Korean National Health and Nutrition Examination Survey. Int Urol Nephrol. 2021;53(7):1417–25. https://doi.org/10.1007/s11255-020-02735-0.

    Article  CAS  PubMed  Google Scholar 

  53. Taverna MJ, Aranguren F, Frechtel GD. Lipid accumulation product is strongly associated with surrogates of insulin resistance, metabolic syndrome and cardiovascular disease risk in healthy men. Diabetologia. 2009;52(S1):S214.

    Google Scholar 

  54. Wakabayashi I, Daimon T. A strong association between lipid accumulation product and diabetes mellitus in japanese women and men. J Atheroscler Thromb. 2014;21(3):282–8.

    Article  PubMed  Google Scholar 

  55. Bozorgmanesh M, Hadaegh F, Azizi F. Diabetes prediction, lipid accumulation product, and adiposity measures; 6-year follow-up: Tehran lipid and glucose study. Lipids Health Dis. 2010;9:45.

    Article  PubMed  PubMed Central  Google Scholar 

  56. Bala C, Gheorghe-Fronea O, Pop D, Pop C, Caloian B, Comsa H, et al. The Association Between Six Surrogate Insulin Resistance Indexes and Hypertension: A Population-Based Study. Metab Syndr Relat Disord. 2019;17(6):328–33.

    Article  CAS  PubMed  Google Scholar 

  57. Kavaric N, Klisic A, Ninic A. Are visceral adiposity index and lipid accumulation product reliable indices for metabolic disturbances in patients with type 2 diabetes mellitus? J Clin Lab Anal. 2018;32(3).

  58. Abolhasani M, Maghbouli N, Sazgara F, Karbalai Saleh S, Tahmasebi M, Ashraf H. Evaluation of Several Anthropometric and Metabolic Indices as Correlates of Hyperglycemia in Overweight/Obese Adults. Diabetes Metab Syndr Obes. 2020;13:2327–36.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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SK was responsible for designing the review protocol, screening eligible studies, extracting data, and writing the primary draft. HT was responsible for designing the review protocol, writing the review protocol, screening the eligible studies, extracting data, and writing the draft. AA was responsible for designing the review protocol, conducting meta-analysis, interpreting results, and writing the draft. YR was responsible for conducting meta-analysis, interpreting results, and writing the draft. HA contributed to designing the review protocol and revising the draft. AV was responsible for designing the review protocol, conceptualization, revising the draft and providing feedback on the review. All the authors approved the final version of the manuscript.

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Correspondence to Ali Vasheghani-Farahani.

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Khanmohammadi, S., Tavolinejad, H., Aminorroaya, A. et al. Association of lipid accumulation product with type 2 diabetes mellitus, hypertension, and mortality: a systematic review and meta-analysis. J Diabetes Metab Disord 21, 1943–1973 (2022). https://doi.org/10.1007/s40200-022-01114-z

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