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Association between novel anthropometric indices and prevalence of kidney stones in US adults

  • Original Article
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Abstract

Background

Our aim is to evaluate the relationship between prevalence of kidney stones (KS) and novel anthropometric indices (AHIs).

Methods

Participants who participated in the KS questionnaire was extracted from the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2018.A series of covariates were also obtained. The novel AHIs include a body shape index (ABSI) and body roundness index (BRI). Weighted multivariable-adjusted logistic regression was performed to investigate the association of KS with AHIs.

Results

After relative covariates were adjusted, a greater risk of KS for each z score increase in ABSI (OR = 1.13, 95%CI 1.05–1.22), and the risk of KS augmented by 19% for every 1 BRI z score added (OR = 1.19, 95%CI 1.11–1.27). The results from subgroup analysis showed that among adults aged 20–39 (OR = 1.31, 95%CI 1.04–1.65), male (OR = 1.14, 95%CI 1.02–1.28), the risk of KS is higher with the increase of each ABSI z score. Raising each BRI z score in those who were male aged 20–39 and 40–59 resulted in a higher risk of KS (aged 20–39: OR = 1.34, 95%CI 1.06–1.69; aged 40–59: OR = 1.29, 95%CI 1.09–1.53). In female aged 40–59, increasing each BRI z score led to a higher risk of KS (OR = 1.23, 95%CI 1.07–1.41). A linear association of ABSI z score with the risk of KS and a non-linear relationship between BRI z score and the risk of KS were discovered.

Conclusion

This study found that the novel AHIs was related to the risk of kidney stones, and can be used as important indicators to evaluate the risk of KS.

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Data availability

The data used and analyzed during the present study are available from NHANES (https://www.cdc.gov/nchs/nhanes/).

Abbreviations

KS:

Kidney stone

AHIs:

Anthropometric indices

NHANES:

The National Health and Nutrition Examination Survey

ABSI:

A body shape index

BRI:

Body roundness index

ORs:

Odds ratios

RCS:

Restricted cubic spline

References

  1. Kallidonis P, Vagionis A (2022) The future of laser technology in kidney stones. Curr Opin Urol 32(4):411–414

    Article  PubMed  Google Scholar 

  2. Chen Z, Prosperi M, Bird VY (2019) Prevalence of kidney stones in the USA: the National Health and Nutrition Evaluation Survey. J Clin Urol 12(4):296–302

    Article  CAS  Google Scholar 

  3. Ferraro PM, Bargagli M, Trinchieri A, Gambaro G (2020) Risk of kidney stones: influence of dietary factors, dietary patterns, and vegetarian-vegan diets. Nutrients. 12(3):77

    Article  Google Scholar 

  4. Shang W, Li Y, Ren Y, Yang Y, Li H, Dong J (2017) Nephrolithiasis and risk of hypertension: a meta-analysis of observational studies. BMC Nephrol 18(1):344

    Article  PubMed  PubMed Central  Google Scholar 

  5. Taylor EN, Stampfer MJ, Curhan GC (2005) Diabetes mellitus and the risk of nephrolithiasis. Kidney Int 68(3):1230–1235

    Article  PubMed  Google Scholar 

  6. Spatola L, Ferraro PM, Gambaro G, Badalamenti S, Dauriz M (2018) Metabolic syndrome and uric acid nephrolithiasis: insulin resistance in focus. Metabolism 83:225–233

    Article  CAS  PubMed  Google Scholar 

  7. Ticinesi A, Guerra A, Allegri F, Nouvenne A, Cervellin G, Maggio M et al (2018) Determinants of calcium and oxalate excretion in subjects with calcium nephrolithiasis: the role of metabolic syndrome traits. J Nephrol 31(3):395–403

    Article  CAS  PubMed  Google Scholar 

  8. Taylor EN, Stampfer MJ, Curhan GC (2005) Obesity, weight gain, and the risk of kidney stones. JAMA 293(4):455–462

    Article  CAS  PubMed  Google Scholar 

  9. Curhan GC, Willett WC, Rimm EB, Speizer FE, Stampfer MJ (1998) Body size and risk of kidney stones. J Am Soc Nephrol 9(9):1645–1652

    Article  CAS  PubMed  Google Scholar 

  10. Sorensen MD, Chi T, Shara NM, Wang H, Hsi RS, Orchard T et al (2014) Activity, energy intake, obesity, and the risk of incident kidney stones in postmenopausal women: a report from the Women’s Health Initiative. J Am Soc Nephrol 25(2):362–369

    Article  PubMed  Google Scholar 

  11. Zwierzchowska A, Kantyka J, Rosołek B, Nawrat-Szołtysik A, Małecki A (2022) Sensitivity and Specificity of Anthropometric Indices in Identifying Obesity in Women over 40 Years of Age and Their Variability in Subsequent Decades of Life. Biology (Basel) 11(12):1804

    PubMed  Google Scholar 

  12. Elagizi A, Kachur S, Lavie CJ, Carbone S, Pandey A, Ortega FB et al (2018) An Overview and Update on Obesity and the Obesity Paradox in Cardiovascular Diseases. Prog Cardiovasc Dis 61(2):142–150

    Article  PubMed  Google Scholar 

  13. Krakauer NY, Krakauer JC (2012) A new body shape index predicts mortality hazard independently of body mass index. PLoS One 7(7):e39504

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Thomas DM, Bredlau C, Bosy-Westphal A, Mueller M, Shen W, Gallagher D et al (2013) Relationships between body roundness with body fat and visceral adipose tissue emerging from a new geometrical model. Obesity (Silver Spring) 21(11):2264–2271

    Article  PubMed  Google Scholar 

  15. Ji M, Zhang S, An R (2018) Effectiveness of A Body Shape Index (ABSI) in predicting chronic diseases and mortality: a systematic review and meta-analysis. Obes Rev 19(5):737–759

    Article  CAS  PubMed  Google Scholar 

  16. Krakauer NY, Krakauer JC (2014) Dynamic association of mortality hazard with body shape. PLoS One 9(2):e88793

    Article  PubMed  PubMed Central  Google Scholar 

  17. Rico-Martín S, Calderón-García JF, Sánchez-Rey P, Franco-Antonio C, Martínez Alvarez M, Sánchez Muñoz-Torrero JF (2020) Effectiveness of body roundness index in predicting metabolic syndrome: A systematic review and meta-analysis. Obes Rev 21(7):e13023

    Article  PubMed  Google Scholar 

  18. Lee M-R, Ke H-L, Huang J-C, Huang S-P, Geng J-H (2022) Obesity-related indices and its association with kidney stone disease: a cross-sectional and longitudinal cohort study. Urolithiasis 50(1):55–63

    Article  CAS  PubMed  Google Scholar 

  19. Feng X, Wu W, Zhao F, Xu F, Han D, Guo X et al (2021) Relationship Between Body Mass Index and Kidney Stones Based on Dose-Response Analyses Using Restricted Cubic Splines Applied to NHANES 2011–2016 Data. J Ren Nutr 31(3):263–269

    Article  PubMed  Google Scholar 

  20. Piqueras P, Ballester A, Durá-Gil JV, Martinez-Hervas S, Redón J, Real JT (2021) Anthropometric Indicators as a Tool for Diagnosis of Obesity and Other Health Risk Factors: A Literature Review. Front Psychol 12:631179

    Article  PubMed  PubMed Central  Google Scholar 

  21. Hou B, Shen X, He Q, Chen Y, Xu Y, Chen M et al (2022) Is the visceral adiposity index a potential indicator for the risk of kidney stones? Front Endocrinol (Lausanne) 13:1065520

    Article  PubMed  Google Scholar 

  22. Dong H, Xu Y, Zhang X, Tian S (2017) Visceral adiposity index is strongly associated with hyperuricemia independently of metabolic health and obesity phenotypes. Sci Rep 7(1):8822

    Article  PubMed  PubMed Central  Google Scholar 

  23. Ma X, Chen L, Hu W, He L (2022) Association Between a Body Shape Index and Subclinical Carotid Atherosclerosis in Population Free of Cardiovascular and Cerebrovascular Diseases. J Atheroscler Thromb 29(8):1140–1152

    Article  CAS  PubMed  Google Scholar 

  24. Lotfi K, Hassanzadeh Keshteli A, Saneei P, Afshar H, Esmaillzadeh A, Adibi P (2022) A Body Shape Index and Body Roundness Index in Relation to Anxiety, Depression, and Psychological Distress in Adults. Front Nutr 9:843155

    Article  PubMed  PubMed Central  Google Scholar 

  25. Parra-Soto S, Malcomson FC, Ho FK, Pell JP, Sharp L, Mathers JC et al (2022) Associations of A Body Shape Index (ABSI) with Cancer Incidence, All-Cause, and at 23 Sites-Findings from the UK Biobank Prospective Cohort Study. Cancer Epidemiol Biomark Prev 31(2):315–324

    Article  Google Scholar 

  26. Wang J, Wu M, Wu S, Tian Y (2022) Relationship between body roundness index and the risk of heart failure in Chinese adults: the Kailuan cohort study. ESC Heart Fail 9(2):1328–1337

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

We greatly appreciate the National Health and Nutrition Examination Survey (NHANES) for providing the open-source data, and thanks to Zhang Jing (Shanghai Tongren Hospital) for his work on the NHANES database. His outstanding work, nhanesR package and webpage, makes it easier for us to explore NHANES database.

Funding

There is no funding for supporting this study.

Author information

Author notes

  1. Gaoteng Lin, Fangfang Zhan, and Wenjun Ren have contributed equally to this work.

Authors and Affiliations

  1. Department of Urology, The 900th Hospital of Joint Logistic Support Force, Fuzhou, China

    Gaoteng Lin & Wenjun Ren

  2. Department of Rehabilitation, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, Fujian, China

    Fangfang Zhan

  3. Department of Rehabilitation, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350000, Fujian, China

    Fangfang Zhan

  4. Department of Laboratory Science, Lianshui People’s Hospital of Kangda College Affiliated to Nanjing Medical University, Jiang Su, 223400, China

    Yan Pan

  5. Department of Urology, Lianshui People’s Hospital of Kangda College Affiliated to Nanjing Medical University, Jiang Su, 223400, China

    Wanqing Wei

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  1. Gaoteng Lin
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Contributions

Conception and design were done by: WQW and GTL. Data collection were done by: GTL, FFZ, WJR, YP, and WQW. Data analysis and interpretation were done by: GTL, FFZ, WJR, YP, and WQW. Manuscript writing were done by: GTL, FFZ, and WJR. Final approval of manuscript was given by: all the authors.

Corresponding author

Correspondence to Wanqing Wei.

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The authors report no conflict of interest.

Ethical approval

The study protocols were approved by the Ethical Committee Review Board of the 900th Hospital of Joint Logistic Support Force (Fuzhou, Fujian, China).

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Lin, G., Zhan, F., Ren, W. et al. Association between novel anthropometric indices and prevalence of kidney stones in US adults. World J Urol 41, 3105–3111 (2023). https://doi.org/10.1007/s00345-023-04582-x

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  • DOI: https://doi.org/10.1007/s00345-023-04582-x

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