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Acta Clinica Belgica
International Journal of Clinical and Laboratory Medicine
Volume 78, 2023 - Issue 6
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Research Article

Inverse association between caffeine intake and albuminuria in US adults: an analysis of NHANES 2005-2016

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Pages 438-445 | Received 15 Mar 2023, Accepted 02 Jun 2023, Published online: 06 Jun 2023
 

ABSTRACT

Objectives

Albuminuria is a significant biomarker of various kidney diseases and is associated with renal outcome. Recently, caffeine intake has shown potential renoprotective effects. However, the relationship between caffeine intake and albuminuria remains profoundly elusive.

Methods

We conducted a cross-sectional study aimed to explore the association between caffeine intake and albuminuria in the American adult population using the data acquired from the National Health and Nutrition Examination Survey (NHANES) 2005–2016. Caffeine intake was assessed by 24-h dietary recalls, and albuminuria was assessed by albumin-to-creatinine ratio. Multivariate logistic regression was performed to explore the independent association between caffeine intake and albuminuria. Subgroup analysis and interaction tests were also conducted.

Results

Among 23,060 participants, 11.8% of the individuals exhibited albuminuria, and the prevalence of albuminuria decreased with higher caffeine intake tertiles (Tertile 1: 13%; Tertile 2: 11.9%; Tertile 3: 10.5%; P < 0.001). After adjusted potential confounders, the results of logistic regression indicated that a higher caffeine intake was associated with a decreased risk of albuminuria (OR = 0.903; 95% CI: 0.84, 0.97; P = 0.007), especially in females and the participants aged <60 years and chronic kidney disease stage II.

Conclusion

The present study first indicated an inverse correlation between caffeine intake and albuminuria, which further confirmed the potentially protective effects of caffeine on the kidney.

Acknowledgments

We thank all participants and staff of NHANES.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The dataset analyzed for this study can be found in online repositories at https://www.cdc.gov/nchs/nhanes/index.htm.

Additional information

Funding

This work was supported by the National Natural Science Foundation of China under Grant No. 81970583 & 82060138; the Nature Science Foundation of Jiangxi Province under Grant No. 20202BABL206025; the Key project of Jiangxi Natural Science Foundation under Grant No. 20224ACB206008

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