Literature DB >> 19064529

Dietary patterns, food groups, and nutrients as predictors of plasma choline and betaine in middle-aged and elderly men and women.

Svetlana V Konstantinova1, Grethe S Tell, Stein E Vollset, Arve Ulvik, Christian A Drevon, Per M Ueland.   

Abstract

BACKGROUND: Choline and betaine are linked to phospholipid and one-carbon metabolism. Blood concentrations or dietary intake of these quaternary amines have been related to the risk of chronic diseases, including cardiovascular disease and the metabolic syndrome.
OBJECTIVE: We aimed to determine dietary predictors of plasma choline and betaine among middle-aged and elderly subjects recruited from an area without folic acid fortification.
DESIGN: This is a population-based study of 5812 men and women aged 47-49 and 71-74 y, within the Hordaland Health Study cohort. Plasma concentrations per increasing quartile of intake of foods, beverages, and nutrients were assessed by multiple linear regression analysis, and dietary patterns were assessed by factor analysis.
RESULTS: Plasma choline was predicted by egg consumption (0.16 micromol/L; P < 0.0001) and cholesterol intake (0.16 micromol/L; P < 0.0001), and betaine was predicted by consumption of high-fiber bread (0.65 micromol/L; P < 0.0001); high-fat dairy products (-0.70 micromol/L; P < 0.0001); complex carbohydrates, fiber, folate, and thiamine (0.66-1.44 micromol/L; P <or= 0.0002 for all); and total energy (0.45 micromol/L; P = 0.004). Plasma choline was not significantly associated with any identified dietary patterns, whereas betaine was negatively associated with a Western dietary pattern with a high loading for meat, pizza, sugar, and fat (P < 0.0001).
CONCLUSION: In this population of middle-aged and elderly men and women, recruited from an area with relatively low folate intake, neither plasma choline nor betaine was positively associated with consumption of animal products, fruit, or vegetables, but each was positively associated with the intake of specific food items such as eggs (choline) and bread (betaine).

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Year:  2008        PMID: 19064529     DOI: 10.3945/ajcn.2008.26531

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  29 in total

1.  Choline.

Authors: 
Journal:  Adv Nutr       Date:  2010-11-16       Impact factor: 8.701

Review 2.  Choline and betaine in health and disease.

Authors:  Per Magne Ueland
Journal:  J Inherit Metab Dis       Date:  2010-05-06       Impact factor: 4.982

3.  Total choline and choline-containing moieties of commercially available pulses.

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4.  Dietary Betaine Supplementation Increases Fgf21 Levels to Improve Glucose Homeostasis and Reduce Hepatic Lipid Accumulation in Mice.

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Journal:  Diabetes       Date:  2016-02-08       Impact factor: 9.461

Review 5.  The supply of choline is important for fetal progenitor cells.

Authors:  Steven H Zeisel
Journal:  Semin Cell Dev Biol       Date:  2011-06-12       Impact factor: 7.727

6.  Plasma dimethylglycine, nicotine exposure and risk of low bone mineral density and hip fracture: the Hordaland Health Study.

Authors:  J Øyen; G F T Svingen; C G Gjesdal; G S Tell; P M Ueland; V Lysne; E M Apalset; K Meyer; S E Vollset; O K Nygård
Journal:  Osteoporos Int       Date:  2015-01-24       Impact factor: 4.507

7.  Dietary patterns associated with hypertension among Korean males.

Authors:  Young Ok Kim
Journal:  Nutr Res Pract       Date:  2009-06-30       Impact factor: 1.926

8.  Trimethylamine-N-oxide and its biological variations in vegetarians.

Authors:  Rima Obeid; Hussain M Awwad; Markus Keller; Juergen Geisel
Journal:  Eur J Nutr       Date:  2016-08-25       Impact factor: 5.614

Review 9.  Asthma, allergy, and responses to methyl donor supplements and nutrients.

Authors:  Sunita Sharma; Augusto Litonjua
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10.  Intakes of meat, fish, poultry, and eggs and risk of prostate cancer progression.

Authors:  Erin L Richman; Meir J Stampfer; Alan Paciorek; Jeanette M Broering; Peter R Carroll; June M Chan
Journal:  Am J Clin Nutr       Date:  2009-12-30       Impact factor: 7.045

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