Empirically derived dietary-lifestyle patterns and cardiometabolic health in young men: a review. Issue 3 (27th August 2020)

• Record Type: Journal Article
• Authors: Lonnie, Marta; Wadolowska, Lidia
• Is Part Of: Proceedings of the Nutrition Society. Volume 79:Issue 3(2020)
• Page Start: 324
• Page End: 330
• Publication Date: 2020-08-27
• Subjects: Cardiometabolic, -- Behavioural clusters, -- Diet, -- Lifestyle, -- Patterns, -- Young men; Nutrition -- Congresses; 612.30993
• DOI: 10.1017/S002966512000693X
• Languages: English
• ISSNs: 0029-6651

Abstract

Abstract : Sex and gender are important factors that impact cardiometabolic traits. Men have lower life expectancy and higher prevalence of fatal chronic conditions at younger age. Lifestyle risk profiles in young men have been rarely studied in the context of cardiometabolic health. This review aimed to summarise the evidence regarding the patterns of dietary-lifestyle behaviours in a population of young men (age <40years) and their associations with cardiometabolic health. Overall, unfavourable clusters of health behaviours are more prominent in men, when compared to women and more prevalent in younger adults, when compared to older age groups. Early signs of cardiometabolic health abnormalities have been reported among men with higher adherence to patterns which consistently shared poor dietary habits as a common denominator, combined with stimulant use, inadequate sleep or insufficient physical activity. In the majority of studies, dietary assessment was limited to the investigation of one or two behaviours, most frequently fruit and vegetable intake. Since young men may engage in a mixture of explicit behaviours, the examination of a singular dietary habit may not represent the overall diet quality. To conclude, the data regarding the synergistic effects of a broad spectrum of dietary and lifestyle behaviours in the context of cardiometabolic health remain scarce in this population. The inclusion of a broader range of dietary and lifestyle variables into the multicomponent pattern analysis might have a greater potential in explaining the association with cardiometabolic health. Defining behavioural clusters can help to develop interventions, tailored to the specific needs of the targeted group.