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. 2011 Mar;21(2):140-8.
doi: 10.1053/j.jrn.2010.03.001. Epub 2010 May 26.

Impact of poverty on serum phosphate concentrations in the Third National Health and Nutrition Examination Survey

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Impact of poverty on serum phosphate concentrations in the Third National Health and Nutrition Examination Survey

Orlando M Gutiérrez et al. J Ren Nutr. 2011 Mar.

Abstract

Objective: Increased serum phosphate is associated with adverse health outcomes. High intake of inexpensive processed and fast foods is common in impoverished communities, and is linked with excessive dietary phosphorus intake and elevated serum phosphate concentrations in chronic kidney disease patients. We examined the impact of socioeconomic status on dietary phosphorus intake and serum phosphate concentrations in the general population.

Design: Cross-sectional study.

Participants: A total of 14,261 adult participants in the Third National Health and Nutrition Examination Survey. PREDICTORS AND OUTCOMES: Poverty to income ratio (PIR; family income indexed to the federal poverty level) was the primary index of socioeconomic status. Serum phosphate was the primary outcome variable.

Results: Although estimated phosphorus intake decreased with decreasing quartiles of PIR (P < .001), serum phosphate was inversely associated with PIR (P = .003). The relationship between lower PIR and higher serum phosphate remained significant after adjustment for demographic, laboratory, and dietary intake characteristics (P = .02). Compared with participants in the highest PIR quartile (income >300% of the federal poverty level), participants in the lowest quartile (income < the federal poverty level) had more than twice the odds of hyperphosphatemia (≥ 4.4 mg/dL) in unadjusted and multivariable-adjusted logistic regression analyses (OR, 2.2; 95% CI, 1.5 to 3.2).

Conclusions: Although lower income was associated with decreased estimated phosphorus intake, increasing poverty was independently linked with increased serum phosphate and higher likelihood of hyperphosphatemia. These findings may indicate that conventional dietary instruments underestimate phosphorus intake, especially among impoverished individuals. Further studies are needed to explore these possibilities.

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Figures

Figure 1
Figure 1
Unadjusted and multivariable-adjusted odds ratios of hyperphosphatemia according to quartiles of PIR (quartile 1 < 100% of federal poverty level; quartile 2, 100-200%, quartile 3, 201-300%; quartile 4 > 300%). Quartile 4 was the reference group in both models. The multivariable model was adjusted for age, gender, black race, Hispanic ethnicity, diabetes, body mass index, estimated glomerular filtration rate, total caloric intake and dietary phosphorus intake. The vertical bars represent 95% confidence intervals.

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