摘要
目的分析浙江省城市人群膳食模式与代谢综合征(MS)之间的关系。方法采用横断面研究方法,以"中国居民营养与健康状况监测"项目资料为基础,膳食模式分析采用因子分析;膳食模式与MS及其异常组分的危险度(OR)、95%可信区间(95%CI)分析采用非条件logistic回归方法。结果 2116名研究对象提取3种膳食模式:动物性膳食模式(35.68%)、植物性膳食模式(31.00%)和沿海特色膳食模式(33.32%);在调整相关混杂因素后发现,动物性膳食模式是腹型肥胖、高甘油三酯血症、高血压、高血糖和MS的患病的危险因素(OR值分别为1.88、1.24、1.87、4.01、2.60);植物性膳食模式是低高密度指蛋白胆固醇(HDL-C)血症保护性因素(OR=0.53);沿海特色膳食模式则与腹型肥胖、低HDL-C血症、高血糖以及MS的发生呈显著负相关(OR值分别为0.83、0.49、0.75、0.72),但该模式与高血压的患病呈正相关(OR=1.46)。结论三种膳食模式与MS及其组分的患病率之间关联复杂,强调某种膳食模式或某种食物的健康意义是有限的,多样化的食物选择才有助于减少MS发病风险或减少MS代谢异常组分。
Objective To analyze the relationship between dietary patterns and metabolic syndrome in urban residents in Zhejiang Province. Methods we undertook a cross-sectional survey based on the data from "China National Nutrition and Health Status Monitoring". Factor analysis was used to identify food patterns based on the frequency of food and unconditional logistic regression model was used to estimate adjusted odd ratios (OR) and 95% confidence intervals(95% CI) between MS including its components and dietary patterns. Results Three evident dietary patterns were derived by factor analysis in these 2116 participants including " animal food pattern" ( 35.68% ) , " plant food pattern" ( 31.00% ) and " sea food pattern" ( 33.32% ). Increased risks of abdominal obesity, hypertriglyceridemia, hypertension, hyperglycemia and MS were associated with animal food pattern, while plant food pattern play an important role to prevent against lowing HDL cholesterol. An inversed association with the risks of abdominal obesity, low HDL cholesterol and hypertension were seen in the pattern of sea food. Conclusion The relationship between three kinds of dietary pattern and MS was complicated and characteristic, so it' s not appropriate to emphasize some kind of food pattern or certain food, varieties of food will help to reduce the risk of MS and its components.
出处
《卫生研究》
CAS
CSCD
北大核心
2014年第3期361-365,377,共6页
Journal of Hygiene Research
基金
卫生行业科研专项(No.201202012)
“十二五”国家科技支撑项目(No.2012BA102B03)
关键词
膳食模式
代谢综合征
因子分析
dietary pattern, metabolic syndrome, factor analysis