Environmental sustainability of diets among children and adolescents in the German DONALD cohort study: age and time trends, and nutrient adequacy

• Published in: The American journal of clinical nutrition 2024-07, Vol.120 (1), p.92-101
• Main Authors: van de Locht, Karen, Perrar, Ines, Paris, Juliana Minetto Gellert, Schnermann, Maike Elena, Oluwagbemigun, Kolade, Alexy, Ute, Nöthlings, Ute
• Format: Article
• Language: English
• Subjects: Adequacy; Adolescent; Adolescents; Age; age trends; Beverages; Child; Children; children and adolescents; Cohort Studies; Conservation of Natural Resources; Cycle ratio; Dairy products; Diet; Emissions; environmental sustainability; Female; Food intake; Germany; greenhouse gas emissions; Greenhouse gases; Greenhouse Gases - analysis; Humans; Land use; Life cycle analysis; Life cycle assessment; Longitudinal Studies; Male; Meat; Meat products; nutrient adequacy; Nutrients; Nutritional Status; Nutritive Value; Polynomials; Regression analysis; Regression models; Sustainability; Sustainable development; Teenagers; time trends; Trends; Water use
• ISSN: 0002-9165; 1938-3207; 1938-3207
• DOI: 10.1016/j.ajcnut.2024.04.026

Identifying diets beneficial for both human and planetary health has become increasingly important. However, to date, there is limited research on sustainable diets for children and adolescents, a vulnerable population group with specific nutritional needs. We aimed to identify 1) the main determinants; 2) age and time trends of greenhouse gas emissions (GHGE), land use (LU), and water use (WU) of diets of children and adolescents; and 3) analyze the associations of dietary GHGE, LU, and WU with nutrient adequacy. A total of 5510 3-d-weighted dietary records (n = 856; 6–17 y; 48% ♀) of the DONALD (DOrtmund Nutritional and Anthropometric Longitudinally Designed) study between 2000 and 2021 were analyzed. Values of GHGE (kgCO2eq), LU (m2 × year), and WU (L) determined by life cycle assessment were assigned to all recorded foods. For nutrient adequacy, the mean adequacy ratio (MAR = ∑(nutrient intake / recommended intake) / number of nutrients) was used. Data were analyzed using polynomial mixed-effects regression models. The main contributors to GHGE and LU were meat products (GHGE: 25.6%; LU: 32.8%), dairy products (22.2%; 17.7%), and sweets and pastries (14.0%; 14.3%); to WU, nonalcoholic beverages (24.3%), meat products (18.9%), and vegetables and fruits (17.7%). GHGE, LU, and WU per 1000 kcal increased with age (P < 0.01). GHGE and LU per 1000 kcal increased between 2000 and 2010 and decreased after that in females (P < 0.01) and males (GHGE only: P = 0.02). No significant time trend was found for WU (P > 0.05). A higher MAR was directly associated with GHGE/1000 kcal (MAR: β: 0.011, 95% CI: 0.008, 0.013, P < 0.0001), LU/1000 kcal (MAR: β: 0.009, 95%CI: 0.005, 0.013, P < 0.0001), and WU/1000 kcal (MAR: β: 0.429, 95% CI: 0.325, 0.533, P < 0.0001). Our findings underscore the further need and the capacity for change toward more environmentally sustainable diets. Yet, the tradeoff between environmental sustainability and nutrient adequacy in the diets of children and adolescents requires specific attention to dietary composition.