Time series analyses reveal differential impact of the Alcohol Warning Label by drinking level |
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| Institution: | 1. Wayne State University USA;2. Hutzel Hospital USA;1. The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA;2. Evidence Synthesis Group, Prishtina, Kosovo;3. Heimerer College, Prishtina, Kosovo;4. Japan International Cooperation Agency, Mother and Child Health Project, Lahore, Punjab, Pakistan;5. Department of Hematology-Oncology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA;1. The University of Queensland, Child Health Research Centre, South Brisbane, 4101, Australia;2. The University of Queensland, School of Biomedical Sciences, St Lucia, 4067, Australia;3. Primary Care Clinical Unit, The University of Queensland, Herston, 4006, Australia;1. Department of Gastrointestinal Surgery, Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China;2. Department of Obstetrics and Gynecology, Sichuan Academy of Medical Sciences & Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China;1. WHO Regional Office for Africa, Brazzaville, Democratic Republic of the Congo;2. West African Centre for Cell Biology of Infectious Pathogens, University of Ghana, Accra, Ghana;3. Center for Epidemiological Modelling and Analysis, University of Nairobi, Nairobi, Kenya;4. Paul G. Allen School for Global Health, Washington State University, Pullman, WA, USA;5. National Institute of Health Data Science, Peking University, Beijing, China;6. Tackling Infections to Benefit Africa, University of Edinburgh, Edinburgh EH9 3FL, UK |
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| Abstract: | This paper uses time series analysis to examine the impact of the Alcoholic Beverage Warning Label on the attitudes and drinking behavior of 3,572 African American pregnant women. The results indicate that knowledge of the Warning Label increased 3 months after the implementation of the law. Drinking during pregnancy declined after a 7 month lag only among non-risk drinkers, although birthweight showed no trends. This analysis illustrates the importance of controlling for timing, history and behavior of subgroups when studying the impact of a natural experiment. |
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