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Nutrient Patterns and Their Association with Socio-Demographic, Lifestyle Factors and Obesity Risk in Rural South African Adolescents

机译:南非农村青少年的营养模式及其与社会人口统计学,生活方式因素和肥胖风险的关系

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The aim of this study was to identify and describe the diversity of nutrient patterns and how they associate with socio-demographic and lifestyle factors including body mass index in rural black South African adolescents. Nutrient patterns were identified from quantified food frequency questionnaires (QFFQ) in 388 rural South African adolescents between the ages of 11–15 years from the Agincourt Health and Socio-demographic Surveillance System (AHDSS). Principle Component Analysis (PCA) was applied to 25 nutrients derived from QFFQs. Multiple linear regression and partial R2 models were fitted and computed respectively for each of the retained principal component (PC) scores on socio-demographic and lifestyle characteristics including body mass index (BMI) for age Z scores. Four nutrient patterns explaining 79% of the total variance were identified: PCI (26%) was characterized by animal derived nutrients; PC2 (21%) by vitamins, fibre and vegetable oil nutrients; PC3 (19%) by both animal and plant derived nutrients (mixed diet driven nutrients); and PC4 (13%) by starch and folate. A positive and significant association was observed with BMI for age Z scores per 1 standard deviation (SD) increase in PC1 (0.13 (0.02; 0.24); p = 0.02) and PC4 (0.10 (−0.01; 0.21); p = 0.05) scores only. We confirmed variability in nutrient patterns that were significantly associated with various lifestyle factors including obesity.
机译:这项研究的目的是确定和描述营养模式的多样性,以及它们如何与南非黑人非洲青少年的社会人口统计学和生活方式因素(包括体重指数)相关联。从定量食品频率问卷(QFFQ)中,通过Agincourt健康与社会人口统计学监测系统(AHDSS)在11-15岁之间的388个南非青少年农村中确定了营养模式。将主成分分析(PCA)应用于QFFQ衍生的25种营养素。分别针对每个保留的主人口得分(PC)的社会人口统计学和生活方式特征(包括Z年龄的体重指数(BMI))拟合并计算了多元线性回归模型和部分R 2 模型。确定了四种养分模式,解释了79%的总方差:PCI(26%)以动物性养分为特征; PC2(21%)由维生素,纤维和植物油所养分;动植物来源的营养素(混合饮食驱动的营养素)中的PC3(19%);以及PC4(13%)由淀粉和叶酸组成。 B1在PC1(0.13(0.02; 0.24); p = 0.02)和PC4(0.10(-0.01; 0.21); p = 0.05)中每增加1标准差(SD),Z年龄得分与BMI呈显着正相关和显着相关性。仅得分。我们确认了与肥胖等各种生活方式因素显着相关的营养模式变异。

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