首页> 外文期刊>The Journal of Nutrition: Official Organ of the American Institute of Nutrition >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
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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

机译:在对美国成年人代表性样本中的社会人口统计学和生活方式变量进行调整之后,膳食补充剂的使用和吸烟是水溶性维生素状态的生物标志物的重要相关因素。

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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.
机译:在2003年至2006年NHANES的全国人口代表性样本中,测量了水溶性维生素(WSV)状况的生化指标。为了检查营养状况的人口差异是否与某些变量有关并受其混淆,我们评估了社会人口统计学(年龄,性别,种族,教育,收入)和生活方式(饮食补充剂使用,吸烟,饮酒,BMI,成年人(≥20岁)具有WSV状态生物标志物的变量:血清和RBC叶酸,血清吡ido醛5'-磷酸(PLP),血清4-吡啶氧酸,血清总钴胺素(维生素B-12),血浆总同型半胱氨酸(tHcy),血浆甲基丙二酸(MMA)和血清抗坏血酸。年龄(PLP除外)和吸烟(MMA除外)通常是这些生物标志物中最强的显着相关性(| r |≤0.43),并且与补充使用一起解释了与双变量分析中其他协变量相比的更多变异性。在多元回归模型中,社会人口统计学和生活方式变量共同解释了生物标志物变异的7(维生素B-12)至29%(tHcy)。我们观察到大多数生物标志物(≥6of 8)与年龄,性别,种族,种族,补充剂使用,吸烟和BMI有显着相关性,并且某些生物标志物具有PIR(8 of 5),教育程度(8 of 1),饮酒(8之4)和身体活动(8之5)。我们注意到种族族群之间(从–24到20%),补充剂使用者和非使用者之间(从–12到104%)以及吸烟者和不吸烟者之间(从–28到8%)生物标志物浓度的估计百分比变化很大。 。总之,在对社会人口统计学和生活方式变量进行调整后,生物标志物浓度的年龄,性别和种族种族差异仍然很明显。补充剂的使用和吸烟是WSV状态生物标志物的重要关联。

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