Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), 08007 Barcelona, Spain.
Unitat de Nutrició Humana, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, 43201 Reus, Spain.
Nutrients. 2021 Sep 27;13(10):3408. doi: 10.3390/nu13103408.
This baseline cross-sectional analysis from data acquired in a sub-sample of the PREDIMED-Plus study participants aimed to evaluate the relation between the Composite Socioeconomic Index (CSI) and lifestyle (diet and physical activity). This study involved 1512 participants (759 (52.2%) women) between 55 and 80 years with overweight/obesity and metabolic syndrome assigned to 137 primary healthcare centers in Catalonia, Spain. CSI and lifestyle (diet and physical activity) were assessed. Multiple linear regression or multinomial regression were applied to the data. Cluster analysis was performed to identify dietary patterns. The multiple linear regression model showed that a high deprivation index was related to a higher consumption of refined cereals (11.98 g/d, -value = 0.001) and potatoes (6.68 g/d, -value = 0.001), and to a lower consumption of fruits (-17.52 g/d, -value = 0.036), and coffee and tea (-8.03 g/d, -value = 0.013). Two a posteriori dietary patterns were identified by cluster analysis and labeled as "healthy" and "unhealthy". In addition, the multinomial regression model showed that a high deprivation index was related to an unhealthy dietary pattern and low physical activity (OR 1.42 [95% CI 1.06-1.89]; -value < 0.05). In conclusion, a high deprivation index was related to an unhealthy lifestyle (diet and physical activity) in PREDIMED-Plus study participants.
本基线横断面分析来自 PREDIMED-Plus 研究参与者的子样本数据,旨在评估综合社会经济指数 (CSI) 与生活方式(饮食和体育活动)之间的关系。这项研究涉及西班牙加泰罗尼亚 137 个初级保健中心的 1512 名参与者(759 名(52.2%)女性),年龄在 55 至 80 岁之间,超重/肥胖且患有代谢综合征。评估了 CSI 和生活方式(饮食和体育活动)。对数据应用了多元线性回归或多项回归。进行了聚类分析以确定饮食模式。多元线性回归模型表明,剥夺指数较高与精制谷物(11.98 克/天,-值=0.001)和土豆(6.68 克/天,-值=0.001)的摄入量较高有关,与水果(-17.52 克/天,-值=0.036)和咖啡及茶(-8.03 克/天,-值=0.013)的摄入量较低有关。通过聚类分析确定了两种后天饮食模式,并分别标记为“健康”和“不健康”。此外,多项回归模型表明,剥夺指数较高与不健康的饮食模式和低体力活动有关(OR 1.42 [95% CI 1.06-1.89];-值<0.05)。总之,在 PREDIMED-Plus 研究参与者中,较高的剥夺指数与不健康的生活方式(饮食和体育活动)有关。