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Predictors of Serum 25(OH)D in Elderly African‐Americans in the Health, Aging, and Body Composition (Health ABC) Study
Author(s) -
Hansen J G,
Hootman K,
Tang W,
Bran P M,
Kritchevsky S,
Houston D,
Harris T,
Garcia M,
Liu Y,
Lohman K,
Cassano P A
Publication year - 2013
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.27.1_supplement.245.4
Subject(s) - multivitamin , body mass index , medicine , vitamin d and neurology , demography , linear regression , explained variation , population , gerontology , vitamin , environmental health , sociology , machine learning , computer science
Inadequate vitamin D status is highly prevalent in elderly individuals, and has been associated with adverse health outcomes. This study's objective was to investigate predictors of serum 25(OH)D in approximately 1,000 African‐American Health ABC participants. General linear models were used to evaluate associations between predictor variables and log‐transformed serum 25(OH)D. In a multivariate model, age, gender, study site, height, season of blood draw, physical activity, multivitamin use, vitamin D supplement use, dietary patterns, and body mass index (BMI) explained 22% of the variation in serum 25(OH)D. The main explanatory variable was multivitamin use, which accounted for 11% of serum 25(OH)D variability; multivitamin users had 7.2 ng/mL higher serum concentrations compared to non‐users. BMI was inversely associated, and explained about 1.8% of the variance in serum 25(OH)D. However, the BMI—25(OH)D association was non‐linear, and mainly reflected associations in obese participants (BMI≥30); models including a quadratic BMI term explained more variability than the linear BMI model (R 2 2.5% vs. 1.8%). In this elderly population, BMI was negatively associated with serum 25(OH)D and multivitamin use was the primary contributor to variability. Grant Funding Source : NIA: N01‐AG‐6–2101, N01‐AG‐6–2103, N01‐AG‐6–2106, R01‐ AG028050 ; RC1 AG035835 ; NINR: R01‐ NR012459 ; NRSA T32‐DK‐7158–36 (JGH)