Question

翻译求助

Statisticalanalysis
To corroborate the fruit and vegetable intake data from the 3-mo food-frequency questionnaire, we used Spearman rank-order correlation analysis to compare the data with data from the 24-h dietary recall.
Fruit and vegetable intake was grouped into 4 categories by intake (< 1 time/d, 1 time/d, 2 times/d, and ≥3 times/d) to identify discrete levels of consumption and to provide a sufficient number of participants at risk in each category.
For each baseline characteristic, the mean or percentage of study participants was calculated by category of fruit and vegetable intake.
The statistical significance of differences was examined by using analysis of variance (continuous variables) and the chi-square test (categorical variables).
The cumulative incidence of and mortality from cardiovascular disease by category of fruit and vegetable intake were calculated by using the Kaplan-Meier method, and differences in cumulative rates were examined by the log-rank test for trend.
Cox proportional hazards regression models were used to explore the relation between categories of fruit and vegetable intake and the risk of cardiovascular disease.
The multivariate models were adjusted for physical activity (3 categories), education level (completed or did not complete high school), regular alcohol consumption (4 categories), current cigarette smoking at baseline (yes or no), vitamin supplement use (yes or no), total energy intake (continuously), sex, race, and diabetic status (yes or no).
Age was used as the time scale in all time-to-event analyses, and all analyses were stratified by birth cohort to control for calendar period and cohort effects.
Estimation methods taking into accountsample clustering and stratification of the NHANES I were used.
Data from the small number of participantswho had reached 85 y of age were censored.
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Answer 1

　　Statisticalanalysis 统计学

　　To corroborate the fruit and vegetable intake data from the 3-mo food-frequency questionnaire, we used Spearman rank-order correlation analysis to compare the data with data from the 24-h dietary recall.

　　为了确定从三月份食品消耗频率问卷调查中收集到的水果和蔬菜摄取数据，我们用斯皮尔门（Spearman）等级序列相关分析法将这种数据与来自24小时膳食回顾得来的数据进行比较。

　　Fruit and vegetable intake was grouped into 4 categories by intake (< 1 time/d, 1 time/d, 2 times/d, and ≥3 times/d) to identify discrete levels of consumption and to provide a sufficient number of participants at risk in each category.

　　将水果和蔬菜摄取用被吸收人员组合为四种类型（< 1次/每日，1次/每日，2次/每日和≥3次/每日）以便确认消费量的离散程度并在每一种类型中大胆提供足够数量的参与人员。

　　For each baseline characteristic, the mean or percentage of study participants was calculated by category of fruit and vegetable intake.

　　对于每一个初始特征而言，研究参与人员的平均值或百分比用水果和蔬菜摄取类型计算出来。

　　The statistical significance of differences was examined by using analysis of variance (continuous variables) and the chi-square test (categorical variables).

　　差异的统计有效值用方差（连续变量）和χ平方检定法（分类变数）的分析进行检验。

　　The cumulative incidence of and mortality from cardiovascular disease by category of fruit and vegetable intake were calculated by using the Kaplan-Meier method, and differences in cumulative rates were examined by the log-rank test for trend.

　　由水果和蔬菜摄取导致死于心血管病累积发病率用卡普兰-梅尔曲线法计算出来。

　　Cox proportional hazards regression models were used to explore the relation between categories of fruit and vegetable intake and the risk of cardiovascular disease.

　　Cox 比例的不可预测因素的回归模型用于探究水果和蔬菜摄取范畴和心血管病风险范畴之间的关系。

　　The multivariate models were adjusted for physical activity (3 categories), education level (completed or did not complete high school), regular alcohol consumption (4 categories), current cigarette smoking at baseline (yes or no), vitamin supplement use (yes or no), total energy intake (continuously), sex, race, and (yes or no).

　　对于体力活动（3类）、教育程度（完成高中学业与否）、经常的酒精摄入量（4类）、总能量摄取（不间断地）、性别、种族和糖尿病状态（是或否）等，多元模型经过调整。

　　Age was used as the time scale in all time-to-event analyses, and all analyses were stratified by birth cohort to control for calendar period and cohort effects.

　　年龄用作整个时间到经历分析的时标，对历期和分组结果，所有分析都用控制出生组分成不同的等级。

　　Estimation methods taking into account sample clustering and stratification of the NHANES I were used.

　　使用了纳入“全国健康和营养检查调查I”的计算样本分组和分层的估计法。

　　Data from the small number of participants who had reached 85 y of age were censored.

　　审查了来自小部分已经达到85岁年龄的参与人员的数据。

Answer 2

统计分析
证实的水果和蔬菜摄入量数据从3钼食物频率问卷，我们用斯皮尔曼等级相关分析比较数据与数据从24小时饮食回忆。
水果和蔬菜摄入量是分为4类的摄入量（< 1次/天，1次/天，2次/天，和≥3次/天）来确定离散的消费水平，提供足够数量的参与者在每一个危险类别。
对于每一个基线特征，平均或百分比的研究参与者类别计算的水果和蔬菜摄入量。
统计意义的差异是审查通过使用方差分析（连续变量）和卡方检验（绝对变量）。
累积发病率和死亡率从心血管疾病的种类的水果和蔬菜摄入量进行了计算使用卡普兰曲线的方法，和差异累积率进行了对数秩测试的趋势。
比例风险回归模型被用来探索之间的关系类别的水果和蔬菜摄入量与心血管疾病的风险。
多变量模型调整身体活动（3类），教育程度（完成或未完成高中），经常饮酒（4类），目前的吸烟在基准（或没有），维生素补充使用（有或没有），总能量摄入量（连续），性别，种族，和糖尿病的地位（是或否）。
年龄作为时间尺度在所有时间事件分析，和所有分析分层的出生队列控制的日历期间和队列效果。
估计方法要聚类分层的健康与使用。
数据从少数已经达到85岁被删。

注：不大确定。仅作参考。

Answer 3

Answer 4

统计分析
证实的水果和蔬菜摄入量数据从3钼食物频率问卷，我们用斯皮尔曼等级相关分析比较数据与数据从24小时饮食回忆。
水果和蔬菜摄入量是分为4类的摄入量（< 1次/天，1次/天，2次/天，和≥3次/天）来确定离散的消费水平，提供足够数量的参与者在每一个危险类别。
对于每一个基线特征，平均或百分比的研究参与者类别计算的水果和蔬菜摄入量。
统计意义的差异是审查通过使用方差分析（连续变量）和卡方检验（绝对变量）。
累积发病率和死亡率从心血管疾病的种类的水果和蔬菜摄入量进行了计算使用卡普兰曲线的方法，和差异累积率进行了对数秩测试的趋势。
比例风险回归模型被用来探索之间的关系类别的水果和蔬菜摄入量与心血管疾病的风险。
多变量模型调整身体活动（3类），教育程度（完成或未完成高中），经常饮酒（4类），目前的吸烟在基准（或没有），维生素补充使用（有或没有），总能量摄入量（连续），性别，种族，和糖尿病的地位（是或否）。
年龄作为时间尺度在所有时间事件分析，和所有分析分层的出生队列控制的日历期间和队列效果。
估计方法要accountsample聚类分层的健康与使用。
数据从少数participantswho已经达到85岁被删。