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50岁及以上女性心血管危险因素、饮食模式、饮酒与种族之间的关系。

The relationship among cardiovascular risk factors, diet patterns, alcohol consumption, and ethnicity among women aged 50 years and older.

作者信息

López Elsa Pinto, Rice Christopher, Weddle Dian O, Rahill Guitele J

机构信息

Stempel School of Public Health, Dietetics and Nutrition Department, Florida International University, Miami, FL, USA.

出版信息

J Am Diet Assoc. 2008 Feb;108(2):248-56. doi: 10.1016/j.jada.2007.10.043.

Abstract

BACKGROUND

Cardiovascular disease (CVD) is the leading cause of death among women of all races and ethnicities. The risk of developing the disease is greater in postmenopausal women.

OBJECTIVE

The purpose of this study was to use cluster analysis to examine diet patterns and to examine the association between diet patterns and the presence of major cardiovascular disease risk factors.

DESIGN

Data from the cross-sectional National Health and Nutrition Examination Survey (NHANES) 2001-2002 were used.

SUBJECTS/SETTING: Women aged 50 years and older were included (n=1,313).

MAIN OUTCOME MEASURES

The following major CVD risk factors were examined: being overweight or obese (body mass index >24.9), having elevated systolic blood pressure (>120 mm Hg), and having low levels of high-density lipoprotein cholesterol (<50 mg/dL [<1.30 mmol/L]). Dietary patterns were derived by cluster analysis using data from a 24-hour dietary recall.

STATISTICAL ANALYSES PERFORMED

Odds Ratios (ORs) and 95% confidence intervals (CIs) were calculated using logistic regression to determine the probability of having a risk factor according to diet pattern while accounting for race/ethnicity, physical activity, age, and smoking.

RESULTS

Cluster analysis generated six nonoverlapping diet patterns labeled: Pasta and Yellow Vegetables; Sweets; Beef, Starches, Fruits, and Milk; Frozen Meals, Burritos, and Pizza; Meat Dishes; and Soft Drinks and Poultry. The majority of the women were grouped in the Sweets diet pattern. Factors associated with adequate levels of high-density lipoprotein cholesterol included being non-Hispanic African American (OR 0.59, 95% CI 0.44 to 0.81; P<0.0001), alcohol consumption (OR 0.76, 95% CI 0.69 to 0.84; P<0.0001), and being assigned to the Sweets diet pattern (OR 0.27, 95% CI 0.14 to 0.50; P<0.0001) or Meat dishes diet pattern (OR 0.94, 95% CI 0.54 to 1.65; P<0.0075). The Sweets pattern was also associated with having normal systolic blood pressure levels (OR 0.51, 95% CI 0.34 to 0.76; P<0.0001). Individuals grouped in the Beef, Starches, and Milk diet pattern were more likely to have an adequate body mass index (OR 0.42, 95% CI 0.23 to 0.77; P<0.0032).

CONCLUSIONS

Significant associations between dietary patterns and major CVD risk factors were observed. Food and nutrition professionals can use this information to assess unhealthful food choices observed in the dietary patterns to guide nutrition recommendations and help reduce the incidence of CVD risk factors. Future research should aim to evaluate dietary intake via complementary methods (ie, dietary patterns and nutrient assessment) to better understand diet-disease relationships.

摘要

背景

心血管疾病(CVD)是所有种族和族裔女性的主要死因。绝经后女性患该病的风险更高。

目的

本研究的目的是使用聚类分析来研究饮食模式,并研究饮食模式与主要心血管疾病风险因素之间的关联。

设计

使用了2001 - 2002年横断面国家健康与营养检查调查(NHANES)的数据。

研究对象/设置:纳入了50岁及以上的女性(n = 1313)。

主要观察指标

检查了以下主要心血管疾病风险因素:超重或肥胖(体重指数>24.9)、收缩压升高(>120 mmHg)以及高密度脂蛋白胆固醇水平低(<50 mg/dL [<1.30 mmol/L])。饮食模式通过使用24小时饮食回忆数据的聚类分析得出。

进行的统计分析

使用逻辑回归计算比值比(OR)和95%置信区间(CI),以确定根据饮食模式存在风险因素的概率,同时考虑种族/族裔、身体活动、年龄和吸烟情况。

结果

聚类分析产生了六种不重叠的饮食模式,分别标记为:面食和黄色蔬菜;甜食;牛肉、淀粉类食物、水果和牛奶;冷冻食品、墨西哥玉米煎饼和披萨;肉类菜肴;以及软饮料和家禽。大多数女性被归为甜食饮食模式。与高密度脂蛋白胆固醇水平充足相关的因素包括非西班牙裔非裔美国人(OR 0.59,95% CI 0.44至0.81;P<0.0001)、饮酒(OR 0.76,95% CI 0.69至0.84;P<0.0001),以及被归为甜食饮食模式(OR 0.27,95% CI 0.14至0.50;P<0.0001)或肉类菜肴饮食模式(OR 0.94,95% CI 0.54至1.65;P<0.0075)。甜食模式还与收缩压水平正常相关(OR 0.51,95% CI 0.34至0.76;P<0.0001)。归为牛肉、淀粉类食物和牛奶饮食模式的个体更有可能有充足的体重指数(OR 0.42,95% CI 0.23至0.77;P<0.0032)。

结论

观察到饮食模式与主要心血管疾病风险因素之间存在显著关联。食品和营养专业人员可以利用这些信息来评估饮食模式中观察到的不健康食物选择,以指导营养建议并帮助降低心血管疾病风险因素的发生率。未来的研究应旨在通过补充方法(即饮食模式和营养评估)评估饮食摄入量,以更好地理解饮食与疾病的关系。

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