Literature DB >> 10203561

Demographic, dietary and lifestyle factors differentially explain variability in serum carotenoids and fat-soluble vitamins: baseline results from the sentinel site of the Olestra Post-Marketing Surveillance Study.

C L Rock1, M D Thornquist, A R Kristal, R E Patterson, D A Cooper, M L Neuhouser, D Neumark-Sztainer, L J Cheskin.   

Abstract

Biochemical measures of nutrients or other dietary constituents can be an important component of nutritional assessment and monitoring. However, accurate interpretation of the nutrient concentration is dependent on knowledge of the determinants of the body pool measured. The purpose of this study was to identify the determinants of serum carotenoid and fat-soluble vitamin concentrations in a large, community-based sample (n = 1042). Multiple linear regression analysis was used to examine effects of demographic characteristics (age, sex, race/ethnicity, education), health-related behavior (exercise, sun exposure, smoking, alcohol consumption), and intake (diet, supplements) on serum retinol, 25-hydroxyvitamin D, alpha-tocopherol, phylloquinone, and carotenoid concentrations. Age, sex, race/ethnicity, vitamin A intake, and alcohol consumption were found to be determinants of serum retinol concentration. Race/ethnicity, vitamin D intake, body mass index, smoking status, and sun exposure were determinants of serum 25-hydroxyvitamin D concentration. Determinants of serum alpha-tocopherol were age, sex, race/ethnicity, alpha-tocopherol intake, serum cholesterol, percentage of energy from fat (inversely related), supplement use, and body mass index. Age, sex, phylloquinone intake, serum triglycerides, and supplement use were determinants of serum phylloquinone concentration. Primary determinants of serum carotenoids were age, sex, race/ethnicity, carotenoid intake, serum cholesterol, alcohol consumption, body mass index, and smoking status. Overall, the demographic, dietary, and other lifestyle factors explained little of the variability in serum concentrations of retinol (R2 = 0.20), 25-hydroxyvitamin D (R2 = 0.24), and the carotenoids (R2 = 0.15-0.26); only modest amounts of the variability in serum phylloquinone concentration (R2 = 0.40); and more substantial amounts of the variability in serum alpha-tocopherol concentration (R2 = 0.62).

Entities:  

Mesh:

Substances:

Year:  1999        PMID: 10203561     DOI: 10.1093/jn/129.4.855

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


  23 in total

1.  Weight loss is associated with increased serum 25-hydroxyvitamin D in overweight or obese women.

Authors:  Cheryl L Rock; Jennifer A Emond; Shirley W Flatt; Dennis D Heath; Njeri Karanja; Bilge Pakiz; Nancy E Sherwood; Cynthia A Thomson
Journal:  Obesity (Silver Spring)       Date:  2012-03-08       Impact factor: 5.002

2.  Lycopene consumption decreases oxidative stress and bone resorption markers in postmenopausal women.

Authors:  L G Rao; E S Mackinnon; R G Josse; T M Murray; A Strauss; A V Rao
Journal:  Osteoporos Int       Date:  2006-08-29       Impact factor: 4.507

3.  Noninvasive assessment of dermal carotenoids as a biomarker of fruit and vegetable intake.

Authors:  Susan T Mayne; Brenda Cartmel; Stephanie Scarmo; Haiqun Lin; David J Leffell; Erin Welch; Igor Ermakov; Prakash Bhosale; Paul S Bernstein; Werner Gellermann
Journal:  Am J Clin Nutr       Date:  2010-08-04       Impact factor: 7.045

4.  Predictors of serum 25-hydroxyvitamin D concentrations among postmenopausal women: the Women's Health Initiative Calcium plus Vitamin D clinical trial.

Authors:  Amy E Millen; Jean Wactawski-Wende; Mary Pettinger; Michal L Melamed; Frances A Tylavsky; Simin Liu; John Robbins; Andrea Z LaCroix; Meryl S LeBoff; Rebecca D Jackson
Journal:  Am J Clin Nutr       Date:  2010-03-10       Impact factor: 7.045

5.  Determinants of serum 25 hydroxyvitamin D levels in a nationwide cohort of blacks and non-Hispanic whites.

Authors:  Jacqueline Chan; Karen Jaceldo-Siegl; Gary E Fraser
Journal:  Cancer Causes Control       Date:  2009-12-11       Impact factor: 2.506

6.  Associations of dietary intake and physical activity with sleep disordered breathing in the Apnea Positive Pressure Long-Term Efficacy Study (APPLES).

Authors:  Monica M Vasquez; James L Goodwin; Amy A Drescher; Terry W Smith; Stuart F Quan
Journal:  J Clin Sleep Med       Date:  2008-10-15       Impact factor: 4.062

7.  Correlates of circulating 25-hydroxyvitamin D: Cohort Consortium Vitamin D Pooling Project of Rarer Cancers.

Authors:  Marjorie L McCullough; Stephanie J Weinstein; D Michal Freedman; Kathy Helzlsouer; W Dana Flanders; Karen Koenig; Laurence Kolonel; Francine Laden; Loic Le Marchand; Mark Purdue; Kirk Snyder; Victoria L Stevens; Rachael Stolzenberg-Solomon; Jarmo Virtamo; Gong Yang; Kai Yu; Wei Zheng; Demetrius Albanes; Jason Ashby; Kimberly Bertrand; Hui Cai; Yu Chen; Lisa Gallicchio; Edward Giovannucci; Eric J Jacobs; Susan E Hankinson; Patricia Hartge; Virginia Hartmuller; Chinonye Harvey; Richard B Hayes; Ronald L Horst; Xiao-Ou Shu
Journal:  Am J Epidemiol       Date:  2010-06-18       Impact factor: 4.897

8.  Correlates of 25-hydroxyvitamin D and breast cancer stage in the Women's Healthy Eating and Living Study.

Authors:  Elizabeth T Jacobs; Cynthia A Thomson; Shirley W Flatt; Vicky A Newman; Cheryl L Rock; John P Pierce
Journal:  Nutr Cancer       Date:  2013       Impact factor: 2.900

9.  Race-ethnicity is a strong correlate of circulating fat-soluble nutrient concentrations in a representative sample of the U.S. population.

Authors:  Rosemary L Schleicher; Maya R Sternberg; Christine M Pfeiffer
Journal:  J Nutr       Date:  2013-04-17       Impact factor: 4.798

10.  On the importance of using multiple methods of dietary assessment.

Authors:  Loki Natarajan; Cheryl L Rock; Jacqueline M Major; Cynthia A Thomson; Bette J Caan; Shirley W Flatt; Janice A Chilton; Kathryn A Hollenbach; Vicky A Newman; Susan Faerber; Cheryl K Ritenbaugh; Ellen Gold; Marcia L Stefanick; Lovell A Jones; James R Marshall; John P Pierce
Journal:  Epidemiology       Date:  2004-11       Impact factor: 4.822

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.