Department of Public Health, College of Medicine, National Cheng Kung University, Tainan City 701, Taiwan.
Institute of Human Nutrition and Food, College of Human Ecology, University of the Philippines Los Baños, Laguna 4031, Philippines.
Nutrients. 2022 Feb 19;14(4):886. doi: 10.3390/nu14040886.
Recent studies have investigated dietary patterns to assess the overall dietary habits of specific populations. However, limited epidemiological research has been conducted to explore the unique dietary intakes in low and middle-income countries. This study aims to examine the dietary patterns of Filipino adults and their association with sociodemographic and lifestyle factors. A total of 10,025 adults (≥20 years old) who participated in the 2013 Philippine National Nutrition Survey were included in the analysis. Dietary patterns were derived using factor analysis of 18 food groups from the dietary survey component. Six dietary patterns were identified, namely (1) rice; (2) cereal, milk, sugar, and oil; (3) fruits and miscellaneous food; (4) fish; (5) vegetables and corn; and (6) meat and beverage. Generalized ordered logistic regression analysis indicated that the dietary patterns were associated with different factors, specifically sex, age, educational attainment, marital status, employment status, household size, wealth quintile, smoking status, alcohol consumption, and physical activity. Our findings showed distinct dietary patterns among Filipino adults that were influenced by various sociodemographic and lifestyle parameters. The results of this study have valuable public health implications and the dietary patterns generated can further be used to analyze the link between diet and health outcomes.
最近的研究调查了饮食模式,以评估特定人群的整体饮食习惯。然而,针对中低收入国家的独特饮食摄入,有限的流行病学研究已经开展。本研究旨在探讨菲律宾成年人的饮食模式及其与社会人口学和生活方式因素的关联。共纳入了 10025 名(≥20 岁)参与 2013 年菲律宾国家营养调查的成年人进行分析。饮食模式通过对膳食调查部分的 18 种食物组的因子分析得出。确定了六种饮食模式,分别为:(1)米饭;(2)谷物、牛奶、糖和油;(3)水果和杂项食品;(4)鱼类;(5)蔬菜和玉米;(6)肉类和饮料。广义有序逻辑回归分析表明,饮食模式与性别、年龄、教育程度、婚姻状况、就业状况、家庭规模、财富五分位数、吸烟状况、饮酒状况和身体活动等不同因素有关。我们的研究结果表明,菲律宾成年人的饮食模式存在差异,受到多种社会人口学和生活方式参数的影响。本研究的结果具有重要的公共卫生意义,生成的饮食模式可以进一步用于分析饮食与健康结果之间的联系。