{"title":"Alcohol Consumption Amount, Drinking Pattern, and the Trajectory of Multimorbidity: A Prospective Cohort Study","authors":"Weiqi Wang, Zhen Tian, Qiaoyu Wang, Qingrao Song, Yaxin Chen, Yuhua Song, Yuan Wang, Wanying Hou, Changhao Sun","doi":"10.1002/mnfr.70154","DOIUrl":null,"url":null,"abstract":"<jats:label/>This study aimed to investigate the impacts of both alcohol consumption amount and drinking pattern on the progression from healthy to first noncommunicable disease (FNCD), subsequently to multimorbidity, and ultimately to death.<jats:label/>We conducted this analysis in the UK Biobank cohort (<jats:italic>N</jats:italic> = 284 744). Multimorbidity was defined as the coexistence of at least two noncommunicable diseases, including cancer, chronic respiratory disease, cardiovascular disease, and Type 2 diabetes. Multistate model was used to estimate the impacts of alcohol consumption on the whole trajectory of multimorbidity.<jats:label/>Guidelines harmful drinkers showed increased risks of all five transitions of multimorbidity than nondrinkers, with hazard ratios (95% CI) 1.16 (1.09, 1.23) and 1.10 (1.00, 1.22) for transitions from baseline to FNCD, and then to multimorbidity, and 1.40 (1.22, 1.61), 1.37 (1.23, 1.54), and 1.41 (1.19, 1.67) for transitions from baseline, FNCD, and multimorbidity to death. Similar associations were found for spirits and beer consumption, but not red wine. For drinking patterns, drinking without food was associated with higher risks of four transitions except death from multimorbidity than drinking with food.<jats:label/>Our results indicate that both alcohol consumption amount and drinking pattern exert important effects on almost all phases of multimorbidity development.","PeriodicalId":212,"journal":{"name":"Molecular Nutrition & Food Research","volume":"147 1","pages":""},"PeriodicalIF":4.2000,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molecular Nutrition & Food Research","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1002/mnfr.70154","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
This study aimed to investigate the impacts of both alcohol consumption amount and drinking pattern on the progression from healthy to first noncommunicable disease (FNCD), subsequently to multimorbidity, and ultimately to death.We conducted this analysis in the UK Biobank cohort (N = 284 744). Multimorbidity was defined as the coexistence of at least two noncommunicable diseases, including cancer, chronic respiratory disease, cardiovascular disease, and Type 2 diabetes. Multistate model was used to estimate the impacts of alcohol consumption on the whole trajectory of multimorbidity.Guidelines harmful drinkers showed increased risks of all five transitions of multimorbidity than nondrinkers, with hazard ratios (95% CI) 1.16 (1.09, 1.23) and 1.10 (1.00, 1.22) for transitions from baseline to FNCD, and then to multimorbidity, and 1.40 (1.22, 1.61), 1.37 (1.23, 1.54), and 1.41 (1.19, 1.67) for transitions from baseline, FNCD, and multimorbidity to death. Similar associations were found for spirits and beer consumption, but not red wine. For drinking patterns, drinking without food was associated with higher risks of four transitions except death from multimorbidity than drinking with food.Our results indicate that both alcohol consumption amount and drinking pattern exert important effects on almost all phases of multimorbidity development.
期刊介绍:
Molecular Nutrition & Food Research is a primary research journal devoted to health, safety and all aspects of molecular nutrition such as nutritional biochemistry, nutrigenomics and metabolomics aiming to link the information arising from related disciplines:
Bioactivity: Nutritional and medical effects of food constituents including bioavailability and kinetics.
Immunology: Understanding the interactions of food and the immune system.
Microbiology: Food spoilage, food pathogens, chemical and physical approaches of fermented foods and novel microbial processes.
Chemistry: Isolation and analysis of bioactive food ingredients while considering environmental aspects.