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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-27256
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dc.contributor.authorBae, Dasom-
dc.contributor.authorWróbel, Anna-
dc.contributor.authorKaelin, Ivo-
dc.contributor.authorPestoni, Giulia-
dc.contributor.authorRohrmann, Sabine-
dc.contributor.authorSych, Janice Marie-
dc.date.accessioned2023-03-09T14:56:50Z-
dc.date.available2023-03-09T14:56:50Z-
dc.date.issued2022-06-16-
dc.identifier.issn2072-6643de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/27256-
dc.description.abstractAlcohol-drinking levels in Switzerland were investigated to identify dietary differences and explore the relationship between drinking levels and sociodemographic, lifestyle and anthropometric factors using the National Nutrition Survey menuCH (n = 2057, 18-75 years). After two 24 h dietary recalls (24HDRs), participants were categorized into four subgroups: abstainers (both self-declared alcohol avoidance and no alcohol reported); no alcohol reported; moderate drinkers (women/men < 12 g/<24 g mean daily alcohol, respectively); and heavy drinkers (women/men > 12 g/>24 g mean daily alcohol, respectively). Differences in diet between these groups were described by comparing daily total energy and non-alcohol energy intake, macronutrient energy contribution, food group intake, and diet quality (Alternate Healthy Eating Index excluding alcohol). The sociodemographic, anthropometric and lifestyle factors that determine alcohol-drinking levels were investigated using multinomial logistic regression. Abstainers reported the lowest daily energy intake (total and non-alcohol), heavy drinkers had the highest total energy intake and the lowest diet quality, and moderate drinkers had the highest non-alcohol energy intake. Sex, age, language region, body mass index, household size, smoking status, self-reported health status and following a diet were significantly associated with different alcohol-drinking subgroups. Results could facilitate interventions that target subgroups who exceed safe alcohol-drinking levels and lead unfavorable lifestyles.de_CH
dc.language.isoende_CH
dc.publisherMDPIde_CH
dc.relation.ispartofNutrientsde_CH
dc.rightshttp://creativecommons.org/licenses/by/4.0/de_CH
dc.subject24 h dietary recallde_CH
dc.subjectAlternate Healthy Eating Indexde_CH
dc.subjectAlcohol-drinking levelde_CH
dc.subjectEnergy intakede_CH
dc.subjectMacronutrientde_CH
dc.subjectmenuCHde_CH
dc.subjectAlcohol drinkingde_CH
dc.subjectFemalede_CH
dc.subjectHumande_CH
dc.subjectMalede_CH
dc.subjectSwitzerlandde_CH
dc.subjectDietde_CH
dc.subjectLife stylede_CH
dc.subject.ddc613.2: Diätetikde_CH
dc.titleInvestigation of alcohol-drinking levels in the Swiss population : differences in diet and associations with sociodemographic, lifestyle and anthropometric factorsde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementLife Sciences und Facility Managementde_CH
zhaw.organisationalunitInstitut für Computational Life Sciences (ICLS)de_CH
zhaw.organisationalunitInstitut für Lebensmittel- und Getränkeinnovation (ILGI)de_CH
dc.identifier.doi10.3390/nu14122494de_CH
dc.identifier.doi10.21256/zhaw-27256-
dc.identifier.pmid35745224de_CH
zhaw.funding.euNode_CH
zhaw.issue12de_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.start2494de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume14de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.webfeedBio-Inspired Methods & Neuromorphic Computingde_CH
zhaw.webfeedData Management & Visualisationde_CH
zhaw.webfeedErnährungde_CH
zhaw.webfeedHealth Research Hub (LSFM)de_CH
zhaw.webfeedLM-Technologiede_CH
zhaw.funding.zhawAuswertungen zum Konsum alkoholischer Getränke in der Schweiz auf Basis der Verzehrsstudie menuCHde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
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Bae, D., Wróbel, A., Kaelin, I., Pestoni, G., Rohrmann, S., & Sych, J. M. (2022). Investigation of alcohol-drinking levels in the Swiss population : differences in diet and associations with sociodemographic, lifestyle and anthropometric factors. Nutrients, 14(12), 2494. https://doi.org/10.3390/nu14122494
Bae, D. et al. (2022) ‘Investigation of alcohol-drinking levels in the Swiss population : differences in diet and associations with sociodemographic, lifestyle and anthropometric factors’, Nutrients, 14(12), p. 2494. Available at: https://doi.org/10.3390/nu14122494.
D. Bae, A. Wróbel, I. Kaelin, G. Pestoni, S. Rohrmann, and J. M. Sych, “Investigation of alcohol-drinking levels in the Swiss population : differences in diet and associations with sociodemographic, lifestyle and anthropometric factors,” Nutrients, vol. 14, no. 12, p. 2494, Jun. 2022, doi: 10.3390/nu14122494.
BAE, Dasom, Anna WRÓBEL, Ivo KAELIN, Giulia PESTONI, Sabine ROHRMANN und Janice Marie SYCH, 2022. Investigation of alcohol-drinking levels in the Swiss population : differences in diet and associations with sociodemographic, lifestyle and anthropometric factors. Nutrients. 16 Juni 2022. Bd. 14, Nr. 12, S. 2494. DOI 10.3390/nu14122494
Bae, Dasom, Anna Wróbel, Ivo Kaelin, Giulia Pestoni, Sabine Rohrmann, and Janice Marie Sych. 2022. “Investigation of Alcohol-Drinking Levels in the Swiss Population : Differences in Diet and Associations with Sociodemographic, Lifestyle and Anthropometric Factors.” Nutrients 14 (12): 2494. https://doi.org/10.3390/nu14122494.
Bae, Dasom, et al. “Investigation of Alcohol-Drinking Levels in the Swiss Population : Differences in Diet and Associations with Sociodemographic, Lifestyle and Anthropometric Factors.” Nutrients, vol. 14, no. 12, June 2022, p. 2494, https://doi.org/10.3390/nu14122494.


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