CONTRIBUTION OF COFFEE AND TEA TO ANEMIA AMONG NHANES-II PARTICIPANTS
CONTRIBUTION OF COFFEE AND TEA TO ANEMIA AMONG NHANES-II PARTICIPANTS
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DOI：
10.1016/s0271-5317(05)80727-4
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发表时间：
1992-02-01
影响因子：
4.5
通讯作者：
STEGMAN, C
中科院分区：
文献类型：
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作者：
MEHTA, SW;PRITCHARD, ME;STEGMAN, C
在 11,684 名 19 至 74 岁的 NHANES II 参与者中调查了咖啡和茶摄入量与贫血的关系。当 4 个血液学参数（TS、EP、MCV、Hb）中有 2 个低于可接受值时，5.3% 的受试者被评估为贫血。测试了两个逻辑回归模型，以检查在控制其他饮食变量和人口因素时贫血概率与咖啡和茶摄入量之间的关系。模型一研究了饮食变量（铁和抗坏血酸）以及年龄和性别时咖啡和茶消耗之间的关系。与茶和咖啡摄入量与贫血呈正相关的实验室研究结果相反，平均每天饮用 3.7 杯茶和咖啡与贫血状态显着（P < 0.05）但呈负相关。膳食铁和抗坏血酸也呈负相关，但不显着。年龄和性别比任何饮食因素都更能解释贫血的可能性。当将社会经济因素添加到上述模型中时，所有饮食变量（包括咖啡和茶的摄入量）仍然呈负相关，并且对贫血的可能性没有显着影响。根据标准化系数，种族、教育程度、性别、年龄和贫困程度对参与者的贫血状况产生了显着影响。我们对 NHANES II 数据的分析表明，当饮食中不限制后两种营养素时，人口特征可能比咖啡和茶、铁或抗坏血酸摄入量更重要地预测贫血状况。
The association of coffee and tea consumption to anemia was investigated among 11,684 19 to 74 year old NHANES II participants. Anemia was assessed among 5.3% of the subjects when 2 of the 4 haematologic parameters (TS, EP, MCV, Hb) were below the acceptable value. Two logistic regression models were tested to examine the relationship between the probability of anemia and coffee and tea consumption when controlling for other dietary variables and demographic factors. Model one examined the relationship between coffee and tea consumption when dietary variables (iron and ascorbic acid), and age and sex were included. Contrary to laboratory findings of positive association between tea and coffee intake and anemia, average daily consumption of 3.7 cups of tea and coffee was significantly (P < 0.05) but negatively associated with anaemic status. Dietary iron and ascorbate were also negatively associated but not significantly. Age and sex made a stronger contribution to explaining the likelihood of anemia than any of the dietary factors. When socioeconomic factors were added to the above model all dietary variables, including coffee and tea intake, remained negatively associated and made no significant contribution to the probability of being anaemic. Based on standardized coefficients, race, education, sex, age, and poverty made significant contributions to anaemic status of the participants in that order. Our analysis of NHANES II data suggests that demographic characteristics may be more important predictors of anaemic status than coffee and tea, iron or ascorbic acid intake of individuals when the latter two nutrients are not limiting in the diet.