The dietary approach to stop hypertension (DASH) diet is an effective measure in the prevention and treatment of CVD. We evaluated recent trends in socioeconomic differences in the DASH score in the UK population, using education, occupation and income as proxies of socioeconomic position (SEP). We analyzed data on 6416 subjects aged 18 and older collected in the National Diet and Nutrition Survey (NDNS 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 (standard deviation: 5). The estimated mean differences between people with no qualification and those having the highest level of education was -3.61 points (95% CI: -4.00; -3.22). The mean difference between subjects engaged in routine occupations and those engaged in high managerial and professional occupations was -3.41 points (95% CI: -3.89; -2.93) and for those in the first fifth and last fifth of the household income distribution was -2.71 points (95% CI: -3.15; -2.28). DASH score improved over time and no significant differences in the trend were observed across SEP. The widest socioeconomic differences emerged for consumption of fruit, vegetables, wholegrains, 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 socioeconomic inequality in CVD observed in the UK.
Dietary approach to stop hypertension (DASH) diet and associated socioeconomic inequalities in the United Kingdom / L. Patel, G. Alicandro, C. La Vecchia. - In: BRITISH JOURNAL OF NUTRITION. - ISSN 0007-1145. - 124:10(2020 Nov 28), pp. 1076-1085.
|Titolo:||Dietary approach to stop hypertension (DASH) diet and associated socioeconomic inequalities in the United Kingdom|
PATEL, LINIA (Corresponding)
|Parole Chiave:||Dietary Approaches to Stop Hypertension; National Diet and Nutrition Survey; Socio-economic inequalities|
|Settore Scientifico Disciplinare:||Settore MED/01 - Statistica Medica|
|Data di pubblicazione:||28-nov-2020|
|Data ahead of print / Data di stampa:||20-mar-2020|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1017/S0007114520001087|
|Appare nelle tipologie:||01 - Articolo su periodico|
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