Background: Because of physiological changes, elderly people are much more exposed to the adverse effects of alcohol. Therefore, hazardous drinking is defined at lower levels as compared to younger adults. This work aimed to evaluate the validity of the current cutoff levels of the Alcohol Use Disorder Identification Test-Consumption (AUDIT-C) questions to detect hazardous drinking in the elderly by using ethyl glucuronide in hair (HEtG).
Methods: In a border region between Austria and Germany, 344 nursing home residents were included from 33 of the 107 nursing homes. Residents were asked to answer the AUDIT-C questions, hair samples were obtained, and nursing staff members were asked for their assessments of the residents' alcohol consumption. Hair samples were analyzed for HEtG using gas chromatography-mass spectrometry. Receiver-operating characteristic (ROC) curve analysis was performed to determine the validity of cutoff values for the AUDIT-C to detect an alcohol consumption of ≥10 g of alcohol/d.
Results: A total of 11.3% of the nursing home residents (n = 344) drank ≥10 g of alcohol/d (4.9% >60 g of alcohol/d, 6.4% 10 to 60 g of alcohol/d, 88.7% <10 g of alcohol/d)). For the drinking limit of ≥10 g of alcohol/d, ROC curve analysis showed a balanced sensitivity and specificity, with an AUDIT-C cutoff of ≥4 for men (sensitivity: 70%, specificity: 83.6%; AUC = 0.823, CI = 0.718 to 0.928, p < 0.001) and ≥2 for women (sensitivity: 73.7%, specificity: 81.9%; AUC = 0.783, CI = 0.653 to 0.914, p < 0.001). Nursing staff (n = 274) underestimated alcohol consumption and evaluated 40% of the chronic-excessive alcohol consumers (>60 g of alcohol/d) as being abstinent.
Conclusions: Our data suggest that an AUDIT-C cutoff of ≥4 for men and ≥2 for women can be recommended to detect the consumption of ≥10 g of alcohol/d in the elderly. Because the nursing staff to a large extent underestimates the alcohol consumption among nursing home residents, further teaching of the staff, improvement of screening instruments for the elderly, and the use of objective biomarkers might be helpful for recognizing hazardous drinking and can thus help improve the quality of life of the elderly.
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http://dx.doi.org/10.1111/acer.13449 | DOI Listing |
BMC Public Health
January 2025
Cancer Control Center, Osaka International Cancer Institute, Osaka, Japan.
Background: Remote work allows one to work free from workplace policy, but it may negatively affect health-related behaviors such as tobacco product use and alcohol drinking. Our study aimed to investigate the association of remote work with tobacco dependence and hazardous alcohol use.
Methods: This nationwide Internet-based survey was conducted in Japan in February 2023.
Alcohol Clin Exp Res (Hoboken)
January 2025
Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Background: Alcohol use is measured in diverse ways across settings. Harmonization of measures is necessary to assess effects of alcohol use in multi-cohort collaborations, such as studies of people with HIV (PWH).
Methods: Data were combined from 14 HIV cohort studies (nine European, five North American) participating in the Antiretroviral Therapy Cohort Collaboration.
Food Res Int
January 2025
Faculty of Bioscience Engineering, Department of Food Technology, Safety and Health, Ghent University, Ghent, Belgium.
While reducing the consumption of animal-source foods is recommended for planetary and human health, potential emerging food safety risks associated with the transition to dietary patterns featuring plant-based meat (PBMA) and dairy alternatives (PBDA) remain unexplored. We assessed the exposure to mycotoxins and ranked the associated health risks related to the consumption of PBMA and PBDA. We simulated diets by replacing animal-source proteins with their plant-based alternatives.
View Article and Find Full Text PDFEur Heart J
January 2025
Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, New Orleans, LA 70112, USA.
Background And Aims: To identify the patterns of coffee drinking timing in the US population and evaluate their associations with all-cause and cause-specific mortality.
Methods: This study included 40 725 adults from the National Health and Nutrition Examination Survey 1999-2018 who had complete information on dietary data and 1463 adults from the Women's and Men's Lifestyle Validation Study who had complete data on 7-day dietary record. Clustering analysis was used to identify patterns of coffee drinking timing.
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