Gabriel P A Costa, Rebecca Suh, Julio C Nunes, Brian Pittman, Mehmet Sofuoglu, Ismene Petrakis, Joao P De Aquino
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Primary exposures included heavy alcohol use (defined by National Institute on Alcohol Abuse and Alcoholism criteria), metabolic dysfunction (indexed by obesity status, Triglyceride-Glucose Index [TyG], and Systemic Inflammation Index [SII]), and sleep duration. Our main outcome was pain interference, measured as days in the past 30 days during which pain disrupted usual activities. We utilized survey-weighted quasi-Poisson regression models, adjusting for age, gender, and race/ethnicity.</p><p><strong>Results: </strong>Heavy alcohol use was independently associated with 34% more days of pain interference (IRR = 1.34, 95% CI = 1.16-1.55), while obesity was associated with a 50% increase (IRR = 1.50, 95% CI = 1.35-1.67). Higher TyG (IRR = 1.19, 95% CI = 1.10-1.30) and SII (IRR = 1.01, 95% CI = 1.01-1.02) were also consistently associated with increased pain interference. The interaction between heavy alcohol use and obesity suggested additive rather than synergistic effects (IRR = 0.82, 95% CI = 0.65-1.05). Each additional hour of sleep was associated with a 14% reduction in pain interference (IRR = 0.86, 95% CI = 0.83-0.88). In a secondary analysis (n = 9756), higher physical activity was associated with 10% fewer days of pain interference (IRR = 0.90, 95% CI = 0.87-0.93).</p><p><strong>Conclusions: </strong>Heavy alcohol use and metabolic dysfunction demonstrate independent, additive effects on pain interference, with concurrent conditions corresponding to maximal days of pain interference. Sleep duration and physical activity emerge as potentially modifiable protective factors. These findings support the implementation of integrated therapeutic approaches targeting multiple pathophysiological domains to optimize clinical outcomes in this complex patient population.</p>","PeriodicalId":72145,"journal":{"name":"Alcohol (Hanover, York County, Pa.)","volume":" ","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Pain interference, alcohol use, and metabolic health: Insights from a nationally representative study.\",\"authors\":\"Gabriel P A Costa, Rebecca Suh, Julio C Nunes, Brian Pittman, Mehmet Sofuoglu, Ismene Petrakis, Joao P De Aquino\",\"doi\":\"10.1111/acer.70108\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Chronic pain, heavy alcohol use, and metabolic dysfunction frequently cooccur, yet their interrelationships remain inadequately characterized, contributing to fragmented therapeutic approaches. This study quantifies independent and interactive associations between these conditions and pain interference in a nationally representative sample.</p><p><strong>Methods: </strong>We conducted a cross-sectional analysis of 30,442 adults (51.1% women) participating in the 2007-2012 National Health and Nutrition Examination Survey (NHANES), representing an estimated 301,890,165 US adults. Primary exposures included heavy alcohol use (defined by National Institute on Alcohol Abuse and Alcoholism criteria), metabolic dysfunction (indexed by obesity status, Triglyceride-Glucose Index [TyG], and Systemic Inflammation Index [SII]), and sleep duration. Our main outcome was pain interference, measured as days in the past 30 days during which pain disrupted usual activities. We utilized survey-weighted quasi-Poisson regression models, adjusting for age, gender, and race/ethnicity.</p><p><strong>Results: </strong>Heavy alcohol use was independently associated with 34% more days of pain interference (IRR = 1.34, 95% CI = 1.16-1.55), while obesity was associated with a 50% increase (IRR = 1.50, 95% CI = 1.35-1.67). Higher TyG (IRR = 1.19, 95% CI = 1.10-1.30) and SII (IRR = 1.01, 95% CI = 1.01-1.02) were also consistently associated with increased pain interference. The interaction between heavy alcohol use and obesity suggested additive rather than synergistic effects (IRR = 0.82, 95% CI = 0.65-1.05). Each additional hour of sleep was associated with a 14% reduction in pain interference (IRR = 0.86, 95% CI = 0.83-0.88). 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引用次数: 0
摘要
背景:慢性疼痛、大量饮酒和代谢功能障碍经常同时发生,但它们之间的相互关系仍然没有得到充分的描述,导致治疗方法碎片化。本研究量化了这些条件和疼痛干扰在全国代表性样本之间的独立和互动联系。方法:我们对参加2007-2012年全国健康与营养调查(NHANES)的30,442名成年人(51.1%为女性)进行了横断面分析,估计代表了301,890,165名美国成年人。主要暴露包括大量饮酒(由国家酒精滥用和酒精中毒研究所定义)、代谢功能障碍(以肥胖状况、甘油三酯-葡萄糖指数[TyG]和全身性炎症指数[SII]为指标)和睡眠时间。我们的主要结果是疼痛干扰,测量过去30天中疼痛干扰正常活动的天数。我们利用调查加权的准泊松回归模型,调整了年龄、性别和种族/民族。结果:重度饮酒与疼痛干扰天数增加34%独立相关(IRR = 1.34, 95% CI = 1.16-1.55),而肥胖与疼痛干扰天数增加50%独立相关(IRR = 1.50, 95% CI = 1.35-1.67)。较高的TyG (IRR = 1.19, 95% CI = 1.10-1.30)和SII (IRR = 1.01, 95% CI = 1.01-1.02)也与疼痛干扰增加一致相关。重度饮酒与肥胖之间的相互作用表明是叠加效应而非协同效应(IRR = 0.82, 95% CI = 0.65-1.05)。每增加一个小时的睡眠与疼痛干扰减少14%相关(IRR = 0.86, 95% CI = 0.83-0.88)。在一项次要分析中(n = 9756),较高的体力活动与10%的疼痛干扰天数减少相关(IRR = 0.90, 95% CI = 0.87-0.93)。结论:大量饮酒和代谢功能障碍对疼痛干扰表现出独立的、累加的影响,并伴有与疼痛干扰最大天数相对应的并发条件。睡眠时间和体力活动是潜在的可改变的保护因素。这些发现支持针对多个病理生理领域的综合治疗方法的实施,以优化这一复杂患者群体的临床结果。
Pain interference, alcohol use, and metabolic health: Insights from a nationally representative study.
Background: Chronic pain, heavy alcohol use, and metabolic dysfunction frequently cooccur, yet their interrelationships remain inadequately characterized, contributing to fragmented therapeutic approaches. This study quantifies independent and interactive associations between these conditions and pain interference in a nationally representative sample.
Methods: We conducted a cross-sectional analysis of 30,442 adults (51.1% women) participating in the 2007-2012 National Health and Nutrition Examination Survey (NHANES), representing an estimated 301,890,165 US adults. Primary exposures included heavy alcohol use (defined by National Institute on Alcohol Abuse and Alcoholism criteria), metabolic dysfunction (indexed by obesity status, Triglyceride-Glucose Index [TyG], and Systemic Inflammation Index [SII]), and sleep duration. Our main outcome was pain interference, measured as days in the past 30 days during which pain disrupted usual activities. We utilized survey-weighted quasi-Poisson regression models, adjusting for age, gender, and race/ethnicity.
Results: Heavy alcohol use was independently associated with 34% more days of pain interference (IRR = 1.34, 95% CI = 1.16-1.55), while obesity was associated with a 50% increase (IRR = 1.50, 95% CI = 1.35-1.67). Higher TyG (IRR = 1.19, 95% CI = 1.10-1.30) and SII (IRR = 1.01, 95% CI = 1.01-1.02) were also consistently associated with increased pain interference. The interaction between heavy alcohol use and obesity suggested additive rather than synergistic effects (IRR = 0.82, 95% CI = 0.65-1.05). Each additional hour of sleep was associated with a 14% reduction in pain interference (IRR = 0.86, 95% CI = 0.83-0.88). In a secondary analysis (n = 9756), higher physical activity was associated with 10% fewer days of pain interference (IRR = 0.90, 95% CI = 0.87-0.93).
Conclusions: Heavy alcohol use and metabolic dysfunction demonstrate independent, additive effects on pain interference, with concurrent conditions corresponding to maximal days of pain interference. Sleep duration and physical activity emerge as potentially modifiable protective factors. These findings support the implementation of integrated therapeutic approaches targeting multiple pathophysiological domains to optimize clinical outcomes in this complex patient population.