Quantifying differences in packaged food and drink purchases among households with diet-related cardiometabolic multi-morbidity: a cross-sectional analysis

• Published in: BMC public health 2022-11, Vol.22 (1), p.2101-2101, Article 2101
• Main Authors: Ricket, Iben M, Brown, Jeremiah R, MacKenzie, Todd A, Ma, Yu, Grewal, Dhruv, Ailawadi, Kusum L, Emond, Jennifer A
• Format: Article
• Language: English
• Subjects: Age; Beverages; Calories; Carbohydrates; Carbonation; Cardiovascular Diseases; Care and treatment; Chronic conditions; Chronic diseases; Chronic illnesses; Cross-Sectional Studies; Demographics; Density; Diabetes; Diagnosis; Diet; Diet and multi-morbidity; Diet therapy; Diet-related cardiometabolic multi-morbidity; Disease; Energy and nutrient-density; Family Characteristics; Food; Food Packaging; Food supply; Frozen foods; Health aspects; Health surveys; Home environment; Households; Humans; Life style; Morbidity; Multimorbidity; Nutrients; Nutrition research; Nutritive Value; Packaged food; Packaged food, and drinks; Packaging; Patient outcomes; Per capita; Proteins; Public health; Purchasing; Quality of life; Regression analysis; Regression models; Risk factors; Social aspects; Sodium; Soft drinks; Universal Product Code
• ISSN: 1471-2458; 1471-2458
• DOI: 10.1186/s12889-022-14626-3

Diet is important for chronic disease management, with limited research understanding dietary choices among those with multi-morbidity, the state of having 2 or more chronic conditions. The objective of this study was to identify associations between packaged food and drink purchases and diet-related cardiometabolic multi-morbidity (DRCMM). Cross-sectional associations between packaged food and drink purchases and household DRCMM were investigated using a national sample of U.S. households participating in a research marketing study. DRCMM households were defined as household head(s) self-reporting 2 or more diet-related chronic conditions. Separate multivariable logistic regression models were used to model the associations between household DRCMM status and total servings of, and total calories and nutrients from, packaged food and drinks purchased per month, as well as the nutrient density (protein, carbohydrates, and fat per serving) of packaged food and drinks purchased per month, adjusted for household size. Among eligible households, 3795 (16.8%) had DRCMM. On average, households with DRCMM versus without purchased 14.8 more servings per capita, per month, from packaged foods and drinks (p