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Dietary fiber intake and urinary creatinine: methodological implications for epidemiological studies
Hariharan Shanmugam1,2, Ángel Mérida-Ortega1, Mariano E Cebrián3
1Center for Population Health Research, National Institute of Public Health, Av. Universidad 655, Santa María Ahuacatitlán, C.P, 62100, Cuernavaca, Morelos, Mexico.
Higher dietary fiber intake is linked to increased urinary creatinine (UCR) levels. This finding is crucial for epidemiological studies using UCR to adjust for urinary dilution and ensure accurate results.
Area of Science:
- Environmental Health
- Nutritional Epidemiology
- Biomarkers
Background:
- Urinary creatinine (UCR) is vital for estimating renal function and correcting urinary dilution in exposure studies.
- Factors like protein intake, age, and diabetes influence UCR variability, necessitating adjustments for epidemiological comparability.
- Emerging research indicates dietary fiber may positively impact renal function.
Purpose of the Study:
- To investigate the relationship between dietary fiber intake and urinary creatinine (UCR) levels.
- To assess the methodological implications of dietary fiber intake for studies employing UCR-corrected measurements.
Main Methods:
- A cross-sectional study analyzed UCR, dietary fiber intake, age, and other UCR-related factors in 801 women in Northern Mexico (2007-2009).
- Statistical analysis estimated the association between dietary fiber intake and UCR, adjusting for age.
Main Results:
- The median dietary fiber intake was 33.14 g/day, exceeding adequate intake levels for adult women.
- An estimated 10.04 mg/dL increase in UCR was associated with every 10 g/day increase in dietary fiber intake, after age adjustment.
- Primary fiber sources included corn tortillas, raw onions, flour tortillas, and beans.
Conclusions:
- Dietary fiber intake is positively associated with urinary creatinine levels.
- Epidemiological studies using UCR adjustments should consider controlling for dietary fiber intake.
- Accounting for dietary fiber intake is essential for enhancing the comparability of UCR-corrected data across diverse populations with varying dietary patterns.
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