Literature DB >> 23576641

Dietary supplement use and smoking are important correlates of biomarkers of water-soluble vitamin status after adjusting for sociodemographic and lifestyle variables in a representative sample of U.S. adults.

Christine M Pfeiffer1, Maya R Sternberg, Rosemary L Schleicher, Michael E Rybak.   

Abstract

Biochemical indicators of water-soluble vitamin (WSV) status were measured in a nationally representative sample of the U.S. population in NHANES 2003-2006. To examine whether demographic differentials in nutritional status were related to and confounded by certain variables, we assessed the association of sociodemographic (age, sex, race-ethnicity, education, income) and lifestyle (dietary supplement use, smoking, alcohol consumption, BMI, physical activity) variables with biomarkers of WSV status in adults (aged ≥ 20 y): serum and RBC folate, serum pyridoxal-5'-phosphate (PLP), serum 4-pyridoxic acid, serum total cobalamin (vitamin B-12), plasma total homocysteine (tHcy), plasma methylmalonic acid (MMA), and serum ascorbic acid. Age (except for PLP) and smoking (except for MMA) were generally the strongest significant correlates of these biomarkers (|r| ≤ 0.43) and together with supplement use explained more of the variability compared with the other covariates in bivariate analysis. In multiple regression models, sociodemographic and lifestyle variables together explained from 7 (vitamin B-12) to 29% (tHcy) of the biomarker variability. We observed significant associations for most biomarkers (≥ 6 of 8) with age, sex, race-ethnicity, supplement use, smoking, and BMI and for some biomarkers with PIR (5 of 8), education (1 of 8), alcohol consumption (4 of 8), and physical activity (5 of 8). We noted large estimated percentage changes in biomarker concentrations between race-ethnic groups (from -24 to 20%), between supplement users and nonusers (from -12 to 104%), and between smokers and nonsmokers (from -28 to 8%). In summary, age, sex, and race-ethnic differentials in biomarker concentrations remained significant after adjusting for sociodemographic and lifestyle variables. Supplement use and smoking were important correlates of biomarkers of WSV status.

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Year:  2013        PMID: 23576641      PMCID: PMC4822996          DOI: 10.3945/jn.112.173021

Source DB:  PubMed          Journal:  J Nutr        ISSN: 0022-3166            Impact factor:   4.798


  43 in total

1.  Passive smoking in never-smokers is associated with increased plasma homocysteine levels.

Authors:  Dong-Bin Kim; Yong-Seog Oh; Ki-Dong Yoo; Jong-Min Lee; Chan Seok Park; Sang-Hyun Ihm; Sung Won Jang; Byung Ju Shim; Hee-Yeol Kim; Ki Bae Seung; Tai-Ho Rho; Jae-Hyung Kim
Journal:  Int Heart J       Date:  2010-05       Impact factor: 1.862

2.  Socioeconomic status as an independent predictor of physiological biomarkers of cardiovascular disease: evidence from NHANES.

Authors:  Peter Muennig; Nancy Sohler; Bisundev Mahato
Journal:  Prev Med       Date:  2007-04-24       Impact factor: 4.018

3.  Inflammatory markers and secondhand tobacco smoke exposure among U.S. workers.

Authors:  John D Clark; James D Wilkinson; William G LeBlanc; Noella A Dietz; Kristopher L Arheart; Lora E Fleming; David J Lee
Journal:  Am J Ind Med       Date:  2008-08       Impact factor: 2.214

4.  Estimation of trends in serum and RBC folate in the U.S. population from pre- to postfortification using assay-adjusted data from the NHANES 1988-2010.

Authors:  Christine M Pfeiffer; Jeffery P Hughes; David A Lacher; Regan L Bailey; R J Berry; Mindy Zhang; Elizabeth A Yetley; Jeanne I Rader; Christopher T Sempos; Clifford L Johnson
Journal:  J Nutr       Date:  2012-03-21       Impact factor: 4.798

5.  Serum and red blood cell folate concentrations, race, and education: findings from the third National Health and Nutrition Examination Survey.

Authors:  E S Ford; B A Bowman
Journal:  Am J Clin Nutr       Date:  1999-03       Impact factor: 7.045

6.  Interaction of body mass index and attempt to lose weight in a national sample of US adults: association with reported food and nutrient intake, and biomarkers.

Authors:  A K Kant
Journal:  Eur J Clin Nutr       Date:  2003-02       Impact factor: 4.016

7.  The CDC's Second National Report on Biochemical Indicators of Diet and Nutrition in the U.S. Population is a valuable tool for researchers and policy makers.

Authors:  Christine M Pfeiffer; Maya R Sternberg; Rosemary L Schleicher; Bridgette M H Haynes; Michael E Rybak; James L Pirkle
Journal:  J Nutr       Date:  2013-04-17       Impact factor: 4.798

8.  Folate status and homocysteine response to folic acid doses and withdrawal among young Chinese women in a large-scale randomized double-blind trial.

Authors:  Ling Hao; Quan-He Yang; Zhu Li; Lynn B Bailey; Jiang-Hui Zhu; Dale J Hu; Bo-Lan Zhang; J David Erickson; Le Zhang; Jacqueline Gindler; Song Li; Robert J Berry
Journal:  Am J Clin Nutr       Date:  2008-08       Impact factor: 7.045

9.  Vitamins A, and C and folate status in Mexican children under 12 years and women 12-49 years: a probabilistic national survey.

Authors:  Salvador Villalpando; Irene Montalvo-Velarde; Norma Zambrano; Armando García-Guerra; Claudia Ivonne Ramírez-Silva; Teresa Shamah-Levy; Juan A Rivera
Journal:  Salud Publica Mex       Date:  2003

10.  Associations between body mass index and the prevalence of low micronutrient levels among US adults.

Authors:  Joel E Kimmons; Heidi Michels Blanck; Beth Carlton Tohill; Jian Zhang; Laura Kettel Khan
Journal:  MedGenMed       Date:  2006-12-19
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  22 in total

1.  Serum cotinine and whole blood folate concentrations in pregnancy.

Authors:  Adila Prasodjo; Christine M Pfeiffer; Zia Fazili; Yingying Xu; Stacey Liddy; Kimberly Yolton; David A Savitz; Bruce P Lanphear; Joseph M Braun
Journal:  Ann Epidemiol       Date:  2014-04-24       Impact factor: 3.797

2.  Demographic, Physiologic, and Lifestyle Characteristics Observed with Serum Total Folate Differ Among Folate Forms: Cross-Sectional Data from Fasting Samples in the NHANES 2011-2016.

Authors:  Zia Fazili; Maya R Sternberg; Nancy Potischman; Chia-Yih Wang; Renee J Storandt; Lorraine Yeung; Sedigheh Yamini; Jaime J Gahche; WenYen Juan; Yan Ping Qi; Neelima Paladugula; Gwendolyn Gabey; Christine M Pfeiffer
Journal:  J Nutr       Date:  2020-04-01       Impact factor: 4.798

Review 3.  Challenges and Lessons Learned in Generating and Interpreting NHANES Nutritional Biomarker Data.

Authors:  Christine M Pfeiffer; David A Lacher; Rosemary L Schleicher; Clifford L Johnson; Elizabeth A Yetley
Journal:  Adv Nutr       Date:  2017-03-15       Impact factor: 8.701

4.  Race-ethnicity is related to biomarkers of iron and iodine status after adjusting for sociodemographic and lifestyle variables in NHANES 2003-2006.

Authors:  Christine M Pfeiffer; Maya R Sternberg; Kathleen L Caldwell; Yi Pan
Journal:  J Nutr       Date:  2013-04-17       Impact factor: 4.798

5.  Age-specific reference ranges are needed to interpret serum methylmalonic acid concentrations in the US population.

Authors:  Ekaterina M Mineva; Maya R Sternberg; Mindy Zhang; Yutaka Aoki; Renee Storandt; Regan L Bailey; Christine M Pfeiffer
Journal:  Am J Clin Nutr       Date:  2019-07-01       Impact factor: 7.045

6.  Association between serum folate and vitamin B-12 and outcomes of assisted reproductive technologies.

Authors:  Audrey J Gaskins; Yu-Han Chiu; Paige L Williams; Jennifer B Ford; Thomas L Toth; Russ Hauser; Jorge E Chavarro
Journal:  Am J Clin Nutr       Date:  2015-09-09       Impact factor: 7.045

7.  Vitamin concentrations 5 years after gastric bypass.

Authors:  E Aaseth; M W Fagerland; A-M Aas; S Hewitt; H Risstad; J Kristinsson; T Bøhmer; T Mala; E T Aasheim
Journal:  Eur J Clin Nutr       Date:  2015-06-17       Impact factor: 4.016

8.  Folate status and concentrations of serum folate forms in the US population: National Health and Nutrition Examination Survey 2011-2.

Authors:  Christine M Pfeiffer; Maya R Sternberg; Zia Fazili; David A Lacher; Mindy Zhang; Clifford L Johnson; Heather C Hamner; Regan L Bailey; Jeanne I Rader; Sedigheh Yamini; R J Berry; Elizabeth A Yetley
Journal:  Br J Nutr       Date:  2015-04-28       Impact factor: 3.718

9.  Sociodemographic and lifestyle variables are compound- and class-specific correlates of urine phytoestrogen concentrations in the U.S. population.

Authors:  Michael E Rybak; Maya R Sternberg; Christine M Pfeiffer
Journal:  J Nutr       Date:  2013-04-17       Impact factor: 4.798

10.  Maternal and early life factors of tooth emergence patterns and number of teeth at 1 and 2 years of age.

Authors:  G Ntani; P F Day; J Baird; K M Godfrey; S M Robinson; C Cooper; H M Inskip
Journal:  J Dev Orig Health Dis       Date:  2015-05-04       Impact factor: 2.401

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