Association between alcohol dietary pattern and prevalence of dyslipidaemia: WASEDA'S Health Study

The association between a dietary pattern characterised by high alcohol intake and dyslipidaemia has not been fully investigated. Therefore, the present study aimed to investigate the association between alcohol dietary patterns and the prevalence of dyslipidaemia and its components. This cross-sectional study enrolled 2171 men and women aged >= 40 years who were alumni of a Japanese university. To identify dietary patterns, a principal component analysis was performed based on the energy-adjusted food intake estimated by a brief-type self-administered diet history questionnaire. Three dietary patterns were identified, the second of which was named the alcohol dietary pattern and was characterised by a high intake of alcoholic beverages, liver, chicken and fish. This alcohol dietary pattern was associated with reduced LDL-cholesterol levels. The fully adjusted OR (95 % CI) of high LDL-cholesterol for the lowest through highest quartile of alcohol dietary pattern score were 1 center dot 00 (reference), 0 center dot 83 (0 center dot 64, 1 center dot 08), 0 center dot 84 (0 center dot 64, 1 center dot 10) and 0 center dot 68 (0 center dot 49, 0 center dot 94), respectively. Subgroup analysis showed that the alcohol dietary pattern was inversely associated with the prevalence of dyslipidaemia in women, whereas it was positively associated with high TAG levels in men. In conclusion, the alcohol dietary pattern, characterised by a high intake of alcoholic beverages, liver, chicken and fish, was associated with the prevalence of dyslipidaemia and its components. This finding provides useful information for the prevention and treatment of dyslipidaemia by modifying the diet.

Automated summary

The study indicated an association between a dietary pattern characterized by high alcohol intake and lower LDL-cholesterol levels, especially in women. In men, the alcohol dietary pattern may be positively associated with high TAG levels.