Department of Clinical Sciences and Community Health, Università degli Studi di Milano, 20133Milano, Italy.
Italian National Institute of Statistics (ISTAT), Directorate for Social Statistics and Population Census, Integrated System for Health, Social Assistance and Welfare,00198Rome, Italy.
Br J Nutr. 2020 Nov 28;124(10):1076-1085. doi: 10.1017/S0007114520001087. Epub 2020 Mar 20.
The Dietary Approaches to Stop Hypertension (DASH) diet is an effective measure in the prevention and treatment of CVD. We evaluated recent trends in socio-economic differences in the DASH score in the UK population, using education, occupation and income as proxies of socio-economic position (SEP). We analysed data on 6416 subjects aged 18 years and older collected in the National Diet and Nutrition Survey (2008-2016). The DASH score was calculated using sex-specific quintiles of DASH items. Multiple linear regression and quantile regression models were used to evaluate the trend in DASH score according to SEP. The mean DASH score was 24 (sd 5). The estimated mean difference between people with no qualification and those having the highest level of education was -3·61 (95 % CI -4·00, -3·22) points. The mean difference between subjects engaged in routine occupations and those engaged in high managerial and professional occupations was -3·41 (95 % CI -3·89, -2·93) points and for those in the first fifth and last fifth of the household income distribution was -2·71 (95 % CI -3·15, -2·28) points. DASH score improved over time, and no significant differences in the trend were observed across SEP. The widest socio-economic differences emerged for consumption of fruit, vegetables, whole grains, nuts, seeds and legumes. Despite an overall increase in the DASH score, a persisting SEP gap was observed. This is an important limiting factor in reducing the high socio-economic inequality in CVD observed in the UK.
膳食限制高血压(DASH)饮食是预防和治疗心血管疾病(CVD)的有效措施。我们评估了英国人口中 DASH 评分的社会经济差异的最新趋势,使用教育、职业和收入作为社会经济地位(SEP)的替代指标。我们分析了 2008-2016 年全国饮食与营养调查中 6416 名 18 岁及以上人群的数据。DASH 评分使用 DASH 项目的性别特异性五分位数计算。采用多元线性回归和分位数回归模型,根据 SEP 评估 DASH 评分的趋势。DASH 评分的平均值为 24(标准差为 5)。无学历者与学历最高者之间的估计平均差值为-3.61(95%CI-4.00,-3.22)分。从事常规职业者与从事高管理和专业职业者之间的平均差值为-3.41(95%CI-3.89,-2.93)分,而在家庭收入分布的第一五分位数和最后五分位数之间的平均差值为-2.71(95%CI-3.15,-2.28)分。DASH 评分随时间推移而提高,SEP 之间的趋势没有显著差异。在水果、蔬菜、全谷物、坚果、种子和豆类的消费方面,社会经济差异最大。尽管 DASH 评分总体上有所增加,但仍存在持续的 SEP 差距。这是减少英国观察到的 CVD 中高社会经济不平等的一个重要限制因素。