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Lawler T, Warren Andersen S, Trentham-Dietz A, Sethi AK, Tevaarwerk AJ, Malecki KMC, Litzelman K, Pophali PA, Gangnon RE, Hampton JM, Kwekkeboom K, LoConte NK. Change in alcohol consumption during the Covid-19 pandemic and associations with mental health and financial hardship: results from a survey of Wisconsin patients with cancer. J Cancer Surviv 2023:10.1007/s11764-023-01502-1. [PMID: 38017319 PMCID: PMC11130075 DOI: 10.1007/s11764-023-01502-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 11/15/2023] [Indexed: 11/30/2023]
Abstract
PURPOSE Alcohol consumption increases health risks for patients with cancer. The Covid-19 pandemic may have affected drinking habits for these individuals. We surveyed patients with cancer to examine whether changes in drinking habits were related to mental health or financial effects of the pandemic. METHODS From October 2020 to April 2021, adult patients (age 18-80 years at diagnosis) treated for cancer in southcentral Wisconsin were invited to complete a survey. Age-adjusted percentages for history of anxiety or depression, emotional distress, and financial impacts of Covid-19 overall and by change in alcohol consumption (non-drinker, stable, decreased, or increased) were obtained via logistic regression. RESULTS In total, 1,875 patients were included in the analysis (median age 64, range 19-87 years), including 9% who increased and 23% who decreased drinking. Compared to stable drinkers (32% of sample), a higher proportion of participants who increased drinking alcohol also reported anxiety or depression (45% vs. 26%), moderate to severe emotional distress (61% vs. 37%) and viewing Covid-19 as a threat to their community (67% vs. 55%). Decreased (vs. stable) drinking was associated with higher prevalence of depression or anxiety diagnosis, emotional distress, and negative financial impacts of the pandemic. Compared to non-drinkers (36% of sample), participants who increased drinking were more likely to report emotional distress (61% vs. 48%). CONCLUSIONS Patients with cancer from Wisconsin who changed their alcohol consumption during the Covid-19 pandemic were more likely to report poor mental health including anxiety, depression, and emotional distress than persons whose alcohol consumption was stable. IMPLICATIONS FOR CANCER SURVIVORS Clinicians working with cancer survivors should be aware of the link between poor mental health and increased alcohol consumption and be prepared to offer guidance or referrals to counseling, as needed.
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Affiliation(s)
- Thomas Lawler
- School of Medicine and Public Health, University of Wisconsin Carbone Cancer Center, Madison, WI, USA.
| | - Shaneda Warren Andersen
- School of Medicine and Public Health, University of Wisconsin Carbone Cancer Center, Madison, WI, USA
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Amy Trentham-Dietz
- School of Medicine and Public Health, University of Wisconsin Carbone Cancer Center, Madison, WI, USA
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Ajay K Sethi
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | | | - Kristen M C Malecki
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
- Division of Environmental and Occupational Health Sciences, School of Public Health, University of Illinois Chicago, Chicago, IL, USA
| | - Kristin Litzelman
- School of Medicine and Public Health, University of Wisconsin Carbone Cancer Center, Madison, WI, USA
- School of Human Ecology, University of Wisconsin-Madison, Madison, WI, USA
| | - Priyanka A Pophali
- Division of Hematology, Medical Oncology and Palliative Care, University of Wisconsin Carbone Cancer Center, Madison, WI, USA
| | - Ronald E Gangnon
- School of Medicine and Public Health, University of Wisconsin Carbone Cancer Center, Madison, WI, USA
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
- Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - John M Hampton
- School of Medicine and Public Health, University of Wisconsin Carbone Cancer Center, Madison, WI, USA
| | - Kristine Kwekkeboom
- School of Medicine and Public Health, University of Wisconsin Carbone Cancer Center, Madison, WI, USA
- School of Nursing, University of Wisconsin-Madison, Madison, WI, USA
| | - Noelle K LoConte
- School of Medicine and Public Health, University of Wisconsin Carbone Cancer Center, Madison, WI, USA
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
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Rezapour M, Niazi MKK, Gurcan MN. Machine learning-based analytics of the impact of the Covid-19 pandemic on alcohol consumption habit changes among United States healthcare workers. Sci Rep 2023; 13:6003. [PMID: 37046069 PMCID: PMC10092930 DOI: 10.1038/s41598-023-33222-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Accepted: 04/10/2023] [Indexed: 04/14/2023] Open
Abstract
The COVID-19 pandemic is a global health concern that has spread around the globe. Machine Learning is promising in the fight against the COVID-19 pandemic. Machine learning and artificial intelligence have been employed by various healthcare providers, scientists, and clinicians in medical industries in the fight against COVID-19 disease. In this paper, we discuss the impact of the Covid-19 pandemic on alcohol consumption habit changes among healthcare workers in the United States during the first wave of the Covid-19 pandemic. We utilize multiple supervised and unsupervised machine learning methods and models such as decision trees, logistic regression, support vector machines, multilayer perceptron, XGBoost, CatBoost, LightGBM, AdaBoost, Chi-Squared Test, mutual information, KModes clustering and the synthetic minority oversampling technique on a mental health survey data obtained from the University of Michigan Inter-University Consortium for Political and Social Research to investigate the links between COVID-19-related deleterious effects and changes in alcohol consumption habits among healthcare workers. Through the interpretation of the supervised and unsupervised methods, we have concluded that healthcare workers whose children stayed home during the first wave in the US consumed more alcohol. We also found that the work schedule changes due to the Covid-19 pandemic led to a change in alcohol use habits. Changes in food consumption, age, gender, geographical characteristics, changes in sleep habits, the amount of news consumption, and screen time are also important predictors of an increase in alcohol use among healthcare workers in the United States.
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Affiliation(s)
- Mostafa Rezapour
- Center for Biomedical Informatics, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
| | | | - Metin Nafi Gurcan
- Center for Biomedical Informatics, Wake Forest University School of Medicine, Winston-Salem, NC, USA
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