Saw Swee Hock School of Public Health, National University of Singapore, 117549, Singapore.
School of Population Health, Faculty of Health Sciences, Curtin University, Perth, Western Australia, 6102, Australia.
Nutr Metab Cardiovasc Dis. 2022 Sep;32(9):2093-2104. doi: 10.1016/j.numecd.2022.06.014. Epub 2022 Jun 22.
Studies examining associations between dietary patterns and Framingham risk score (FRS) and predicted 10-year cardiovascular diseases (CVD) risk in an Asian population are lacking. This study aimed to identify a posteriori dietary patterns across three major ethnic groups in Singapore and ascertain their associations with locally modified FRS and predicted 10-year CVD risk.
This cross-sectional study included 8594 Singapore residents (aged 21-75 years) from the Singapore Multi-Ethnic Cohort. Data on sociodemographic and lifestyle factors were collected via questionnaires. Food consumption was assessed using a validated Food Frequency Questionnaire. Dietary patterns were identified using principal component analysis and associations with CVD risk factors, FRS and predicted CVD risk (%) were analysed using multiple linear and logistic regression. Four dietary patterns emerged that explained 25.6% of variance. The 'processed food and sugar-sweetened beverages' pattern was significantly associated with higher FRS (β: 0.13; 95% CI: 0.04, 0.23), while the 'ethnic breads, legumes and nuts' (β: 0.13; 95% CI: 0.22, -0.04) and 'whole grains, fruit and dairy' (β: 0.17; 95% CI: 0.24, -0.10) patterns were significantly associated with lower FRS. The 'meat and vegetables' pattern was not significantly associated with FRS. Increased adherence to the 'whole grains, fruit and dairy' pattern was associated with lower odds of having predicted CVD risk of ≥10% (p-trend: 0.03).
Adherence to the 'ethnic breads, legumes and nuts' and 'whole grains, fruit and dairy' patterns was associated with a lower predicted CVD risk, and an inverse association for the 'processed food and sugar-sweetened beverages' pattern in an Asian population. These findings can inform the development of culturally sensitive dietary interventions to prevent CVD.
在亚洲人群中,研究饮食模式与弗雷明汉风险评分(FRS)和预测的 10 年心血管疾病(CVD)风险之间的关联的研究很少。本研究旨在确定新加坡三个主要种族群体的饮食模式,并确定它们与本地改良的 FRS 和预测的 10 年 CVD 风险之间的关系。
这项横断面研究包括来自新加坡多民族队列的 8594 名新加坡居民(年龄 21-75 岁)。通过问卷收集社会人口统计学和生活方式因素的数据。使用经过验证的食物频率问卷评估食物摄入量。使用主成分分析确定饮食模式,并使用多元线性和逻辑回归分析饮食模式与 CVD 风险因素、FRS 和预测的 CVD 风险(%)之间的关系。确定了四个解释 25.6%方差的饮食模式。“加工食品和含糖饮料”模式与较高的 FRS 显著相关(β:0.13;95%CI:0.04,0.23),而“民族面包、豆类和坚果”(β:0.13;95%CI:0.22,-0.04)和“全谷物、水果和乳制品”(β:0.17;95%CI:0.24,-0.10)模式与较低的 FRS 显著相关。“肉类和蔬菜”模式与 FRS 无显著相关性。增加对“全谷物、水果和乳制品”模式的依从性与预测 CVD 风险≥10%的几率较低相关(p 趋势:0.03)。
在亚洲人群中,“民族面包、豆类和坚果”和“全谷物、水果和乳制品”模式的依从性与较低的预测 CVD 风险相关,而“加工食品和含糖饮料”模式呈负相关。这些发现可以为制定文化敏感的饮食干预措施以预防 CVD 提供信息。