@article{KoelmanHuybrechtsBiesbroeketal.2022,
  author    = {Koelman, Liselot A. and Huybrechts, Inge and Biesbroek, Sander and van 't Veer, Pieter and Schulze, Matthias Bernd and Aleksandrova, Krasimira},
  title     = {Dietary choices impact on greenhouse gas emissions},
  series = {Sustainability / Multidisciplinary Digital Publishing Institute (MDPI)},
  volume    = {14},
  journal   = {Sustainability / Multidisciplinary Digital Publishing Institute (MDPI)},
  number    = {7},
  publisher = {MDPI},
  address   = {Basel},
  issn      = {2071-1050},
  doi       = {10.3390/su14073854},
  pages     = {10},
  year      = {2022},
  abstract  = {The present study estimated diet-related greenhouse gas emissions (GHGE) and land use (LU) in a sample of adults, examined main dietary contributors of GHGE, and evaluated socio demographic, lifestyle, and wellbeing factors as potential determinants of high environmental impact. A cross-sectional design based on data collected from the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam cohort (2010-2012) was used. Usual diet was assessed using food frequency questionnaires. Diet-related GHGE and LU were calculated using a European-average lifecycle analyses-food-item database (SHARP-ID). Information on potential determinants were collected using self-administered questionnaires. Men (n = 404) and women (n = 401) at an average age of 66.0 +/- 8.4 years were included. Dietary-related energy-adjusted GHGE in men was 6.6 +/- 0.9 and in women was 7.0 +/- 1.1 kg CO2 eq per 2000 kcal. LU in men was 7.8 +/- 1.2 and in women was 7.7 +/- 1.2 m(2)/year per 2000 kcal. Food groups contributing to most GHGE included dairy, meat and non-alcoholic beverages. Among women, being single, having a job, being a smoker and having higher BMI were characteristics associated with higher GHGE, whereas for men these included being married, longer sleeping duration and higher BMI. Further studies are warranted to provide insights into population-specific determinants of sustainable dietary choices.},
  language  = {en}
}
@article{VolkertKiesswetterCederholmetal.2019,
  author    = {Volkert, Dorothee and Kiesswetter, Eva and Cederholm, Tommy and Donini, Lorenzo M. and Egiseer, Doris and Norman, Kristina and Schneider, Stephane M. and Stroebele-Benschop, Nanette and Torbahn, Gabriel and Wirth, Rainer and Visser, Marjolein},
  title     = {Development of a Model on Determinants of Malnutrition in Aged Persons},
  series = {Gerontology and Geriatric Medicine},
  volume    = {5},
  journal   = {Gerontology and Geriatric Medicine},
  publisher = {Sage Publ.},
  address   = {Thousand Oaks},
  issn      = {2333-7214},
  doi       = {10.1177/2333721419858438},
  pages     = {8},
  year      = {2019},
  abstract  = {In older persons, the origin of malnutrition is often multifactorial with a multitude of factors involved. Presently, a common understanding about potential causes and their mode of action is lacking, and a consensus on the theoretical framework on the etiology of malnutrition does not exist. Within the European Knowledge Hub "Malnutrition in the Elderly (MaNuEL)," a model of "Determinants of Malnutrition in Aged Persons" (DoMAP) was developed in a multistage consensus process with live meetings and written feedback (modified Delphi process) by a multiprofessional group of 33 experts in geriatric nutrition. DoMAP consists of three triangle-shaped levels with malnutrition in the center, surrounded by the three principal conditions through which malnutrition develops in the innermost level: low intake, high requirements, and impaired nutrient bioavailability. The middle level consists of factors directly causing one of these conditions, and the outermost level contains factors indirectly causing one of the three conditions through the direct factors. The DoMAP model may contribute to a common understanding about the multitude of factors involved in the etiology of malnutrition, and about potential causative mechanisms. It may serve as basis for future research and may also be helpful in clinical routine to identify persons at increased risk of malnutrition.},
  language  = {en}
}