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Application of Factor Analysis to Identify Dietary Patterns and Use of Factor Scores to Study Their Relationship with Nutritional Status of Adult Rural Populations

机译:因子分析在识别饮食模式中的应用以及利用因子得分研究其与成年农村人口营养状况的关系

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摘要

The prevalence of chronic energy deficiency (CED) among one-third of the Indian population is attributed to inadequacy of consumption of nutrients. However, considering the complexity of diets among Indians, the relationship between a particular dietary pattern and the nutritional status of the population has not been established so far. A community-based cross-sectional study was undertaken to assess estimates, at district level, of diet and nutritional status in Orissa State, India. Factor analysis was used for exploring the existence of consumption pattern of food and nutrients and their relationship with the nutritional status of rural adult population. Data on 2,864 adult men and 3,525 adult women in Orissa state revealed that there exists six patterns among food-groups explaining 59% of the total variation and three patterns among nutrients that explain 73% of the total variation among both adult men and women. The discriminant function analysis revealed that, overall, 53% of the men were correctly classified as either with chronic energy deficiency (CED) or without CED. Similarly, overall, 54% of the women were correctly classified as either with CED or without CED. The sensitivity of the model was 65% for both men and women, and the specificity was 46% and 41% respectively for men and women. In the case of classification of overweight/obesity, the prediction of the model was about 75% among both men and women, along with high sensitivity. Using factor analysis, the dietary patterns were identified from the food and nutrient intake data. There exists a strong relationship between the dietary patterns and the nutritional status of rural adults. These results will help identify the community people with CED and help planners formulate nutritional interventions accordingly.
机译:三分之一的印度人口中慢性能量缺乏症(CED)的患病率归因于营养物质消耗不足。但是,考虑到印度人饮食的复杂性,到目前为止,尚未确定特定饮食模式与人口营养状况之间的关系。进行了一项基于社区的横断面研究,以评估印度奥里萨邦地区饮食和营养状况的估计值。因子分析用于探索食物和营养物质消费模式的存在及其与农村成年人口营养状况的关系。在奥里萨邦的2,864名成年男性和3,525名成年女性的数据显示,食物组中有6种模式解释了总变异的59%,营养素中有3种模式解释了成年男性和女性的总变异的73%。判别功能分析表明,总体而言,有53%的男性被正确分类为患有慢性能量缺乏症(CED)或未患有CED。同样,总体而言,将54%的妇女正确分类为患有CED或未患有CED。该模型对男性和女性的敏感性均为65%,对男性和女性的特异性分别为46%和41%。在对超重/肥胖进行分类的情况下,该模型的预测在男性和女性中约为75%,并且具有较高的敏感性。使用因素分析,从食物和营养摄入数据中确定饮食模式。农村成年人的饮食习惯与营养状况之间存在着很强的关系。这些结果将有助于识别患有CED的社区人士,并帮助计划人员相应地制定营养干预措施。

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