OBJECTIVE: Poor-quality diet, regarded as an important contributor to health inequalities, is linked to adverse health outcomes. We investigated sociodemographic and lifestyle predictors of poor-quality diet in a population sample. DESIGN: A cross-sectional analysis of the Survey of Lifestyle, Attitudes and Nutrition (SLÁN). Diet was assessed using an FFQ (n 9223, response rate = 89%), from which a dietary score (the DASH (Dietary Approaches to Stop Hypertension) score) was constructed. SETTING: General population of the Republic of Ireland. SUBJECTS: The SLÁN survey is a two-stage clustered sample of 10,364 individuals aged 18 years. RESULTS: Adjusting for age and gender, a number of sociodemographic, lifestyle and health-related variables were associated with poor-quality diet: social class, education, marital status, social support, food poverty (FP), smoking status, alcohol consumption, underweight and self-perceived general health. These associations persisted when adjusted for age, gender and social class. They were not significantly altered in the multivariate analysis, although the association with social support was attenuated and that with FP was borderline significant (OR = 1·2, 95% CI 1·03, 1·45). A classical U-shaped relationship between alcohol consumption and dietary quality was observed. Dietary quality was associated with social class, educational attainment, FP and related core determinants of health. CONCLUSIONS: The extent to which social inequalities in health can be explained by socially determined differences in dietary intake is probably underestimated. The use of composite dietary quality scores such as the DASH score to address the issue of confounding by diet in the relationship between alcohol consumption and health merits further study.
OBJECTIVE: Poor-quality diet, regarded as an important contributor to health inequalities, is linked to adverse health outcomes. We investigated sociodemographic and lifestyle predictors of poor-quality diet in a population sample. DESIGN: A cross-sectional analysis of the Survey of Lifestyle, Attitudes and Nutrition (SLÁN). Diet was assessed using an FFQ (n 9223, response rate = 89%), from which a dietary score (the DASH (Dietary Approaches to Stop Hypertension) score) was constructed. SETTING: General population of the Republic of Ireland. SUBJECTS: The SLÁN survey is a two-stage clustered sample of 10,364 individuals aged 18 years. RESULTS: Adjusting for age and gender, a number of sociodemographic, lifestyle and health-related variables were associated with poor-quality diet: social class, education, marital status, social support, food poverty (FP), smoking status, alcohol consumption, underweight and self-perceived general health. These associations persisted when adjusted for age, gender and social class. They were not significantly altered in the multivariate analysis, although the association with social support was attenuated and that with FP was borderline significant (OR = 1·2, 95% CI 1·03, 1·45). A classical U-shaped relationship between alcohol consumption and dietary quality was observed. Dietary quality was associated with social class, educational attainment, FP and related core determinants of health. CONCLUSIONS: The extent to which social inequalities in health can be explained by socially determined differences in dietary intake is probably underestimated. The use of composite dietary quality scores such as the DASH score to address the issue of confounding by diet in the relationship between alcohol consumption and health merits further study.
Authors: Marcus J Claesson; Ian B Jeffery; Susana Conde; Susan E Power; Eibhlís M O'Connor; Siobhán Cusack; Hugh M B Harris; Mairead Coakley; Bhuvaneswari Lakshminarayanan; Orla O'Sullivan; Gerald F Fitzgerald; Jennifer Deane; Michael O'Connor; Norma Harnedy; Kieran O'Connor; Denis O'Mahony; Douwe van Sinderen; Martina Wallace; Lorraine Brennan; Catherine Stanton; Julian R Marchesi; Anthony P Fitzgerald; Fergus Shanahan; Colin Hill; R Paul Ross; Paul W O'Toole Journal: Nature Date: 2012-08-09 Impact factor: 49.962
Authors: Cormac Powell; Leonard D Browne; Brian P Carson; Kieran P Dowd; Ivan J Perry; Patricia M Kearney; Janas M Harrington; Alan E Donnelly Journal: Sports Med Date: 2020-01 Impact factor: 11.136
Authors: Michael W Schwartz; Randy J Seeley; Lori M Zeltser; Adam Drewnowski; Eric Ravussin; Leanne M Redman; Rudolph L Leibel Journal: Endocr Rev Date: 2017-08-01 Impact factor: 19.871
Authors: George Howard; Mary Cushman; Claudia S Moy; Suzanne Oparil; Paul Muntner; Daniel T Lackland; Jennifer J Manly; Matthew L Flaherty; Suzanne E Judd; Virginia G Wadley; D Leann Long; Virginia J Howard Journal: JAMA Date: 2018-10-02 Impact factor: 56.272