Adherence to the French Programme National Nutrition Sante Guideline Score Is Associated with Better Nutrient Intake and Nutritional Status

Adherence to the French Programme National Nutrition Sante Guideline Score Is Associated with Better Nutrient Intake and Nutritional Status
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DOI:
10.1016/j.jada.2009.03.012
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发表时间:
2009-06-01
影响因子:
--
通讯作者:
Castetbon, Katia
Castetbon, Katia
中科院分区:
其他
文献类型:
--
作者:
Estaquio, Carla;Kesse-Guyot, Emmanuelle;Castetbon, Katia

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背景法国自2001年开始实施营养与健康计划(Program National Nutrition Sante),该计划包括向普通民众广泛传播的饮食和体力活动建议。目的根据对这些建议的遵守情况制定评分,并回顾评估其与人口统计和行为因素、营养摄入量和血清生物标记物的关系。《国家营养桑特方案指南评分》(PNNS-GS)包括13个组成部分。评分和分界值是利用国家指南提供的信息确定的。当报告的行为符合推荐时,至少有一分被归因于。设计/受试者参与SU.VI.MAX研究的成年人至少有三次24小时饮食记录在我们的分析中(n=5,500)。统计分析数据按性别进行分析,并估计性别特定分数的四分之一。经社会和人口统计变量调整后的多元Logistic回归模型被用来估计得分相对较高的优势比(四分位数4对其他)。多变量线性回归模型被用来检验营养摄入量或生物标志物与PNNS-GS四分位数的相关性。结果发现PNNS-GS前四分位数与年龄、较高职业类别、不吸烟状态和正常体重之间存在统计学关联(P
Background The Nutrition and Health Program (Programme National Nutrition Sante), which has been carried out in France since 2001, includes diet and physical activity recommendations that are being widely disseminated to the general population.Objectives To develop a score based on adherence to these recommendations and retrospectively estimated its association with demographic and behavior factors, nutrient intake, and serum biomarkers. The Programme National Nutrition Sante Guideline Score (PNNS-GS) includes 13 components. Scoring and cut-off values were determined using information provided by national guidelines. At least one point was attributed when the behavior reported was in accordance with the recommendation.Design/subjects Adults participating in the SU.VI.MAX study with a minimum of three 24-hour dietary records were included in our analysis (n=5,500).Statistical analysis Data were analyzed by sex, and sex-specific quartiles of scores were estimated. Multiple logistic regression models adjusted for social and demographic variables were used to estimate the odds ratios for having a relatively high score (quartile 4 vs others). Multivariate linear regression models were used to examine associations of nutrient intake or biomarkers with PNNS-GS quartiles. When applicable, we included a linear contrast to test for trend.Results The authors found statistical associations between the top PNNS-GS quartile and older age, higher occupational categories, nonsmoking status, and normal body mass (P