Alison Z Swartz, Kathryn Wood, Eric Farber-Eger, Alexander Petty, Heidi J Silver
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We previously identified that weight cyclers were likely to have prescribed medications for hypertension, dyslipidemia, and diabetes - suggesting high prevalence of cardiometabolic disease.</p><p><strong>Objective: </strong>No prior study has compared relationships between longitudinal weight trajectory (weight stable, weight gainer, weight loser, or weight cycler) and commonly occurring specific cardiometabolic diseases among persons with similar high baseline BMI.</p><p><strong>Methods: </strong>Using de-identified electronic health record data from all adults treated at Vanderbilt University Medical Center between 1997 to 2020 and a landmark approach, we developed multivariate cox proportional hazards regression models to determine relationships between weight trajectory and risk for ten highly prevalent cardiometabolic diseases.</p><p><strong>Results: </strong>Compared to weight stability, weight cycling associated with almost 30% increased risk for obstructive sleep apnea (HR 1.28; 95% CI 1.15-1.42), MASLD (HR 1.28; 95% CI 1.08-1.51), and T2DM (HR 1.23; 95% CI 1.10-1.38). Weight cycling also associated with more than 50% increased risk for heart failure (HR 1.54; 95% CI 1.31-1.82), although both weight gain and weight loss also showed increased risk for HF (HR 1.29; 95% CI 1.08-1.55 and HR 1.32; 95% CI 1.10-1.58, respectively).</p><p><strong>Conclusions: </strong>The relationship between weight cycling and cardiometabolic disease risk was independent of having high baseline BMI, which was similar among weight trajectory groups. The present findings support promoting either weight stability at high BMI or weight loss if able to be maintained to prevent the incidence of a variety of cardiometabolic diseases.</p>","PeriodicalId":520805,"journal":{"name":"The Journal of clinical endocrinology and metabolism","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Weight Trajectory Impacts Risk for Ten Distinct Cardiometabolic Diseases.\",\"authors\":\"Alison Z Swartz, Kathryn Wood, Eric Farber-Eger, Alexander Petty, Heidi J Silver\",\"doi\":\"10.1210/clinem/dgaf348\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Context: </strong>Repetitive bouts of weight loss and regain, termed weight cycling, may exaggerate risk for cardiometabolic disease. We previously identified that weight cyclers were likely to have prescribed medications for hypertension, dyslipidemia, and diabetes - suggesting high prevalence of cardiometabolic disease.</p><p><strong>Objective: </strong>No prior study has compared relationships between longitudinal weight trajectory (weight stable, weight gainer, weight loser, or weight cycler) and commonly occurring specific cardiometabolic diseases among persons with similar high baseline BMI.</p><p><strong>Methods: </strong>Using de-identified electronic health record data from all adults treated at Vanderbilt University Medical Center between 1997 to 2020 and a landmark approach, we developed multivariate cox proportional hazards regression models to determine relationships between weight trajectory and risk for ten highly prevalent cardiometabolic diseases.</p><p><strong>Results: </strong>Compared to weight stability, weight cycling associated with almost 30% increased risk for obstructive sleep apnea (HR 1.28; 95% CI 1.15-1.42), MASLD (HR 1.28; 95% CI 1.08-1.51), and T2DM (HR 1.23; 95% CI 1.10-1.38). Weight cycling also associated with more than 50% increased risk for heart failure (HR 1.54; 95% CI 1.31-1.82), although both weight gain and weight loss also showed increased risk for HF (HR 1.29; 95% CI 1.08-1.55 and HR 1.32; 95% CI 1.10-1.58, respectively).</p><p><strong>Conclusions: </strong>The relationship between weight cycling and cardiometabolic disease risk was independent of having high baseline BMI, which was similar among weight trajectory groups. 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引用次数: 0
摘要
背景:反复的体重减轻和恢复,称为体重循环,可能会增加心脏代谢疾病的风险。我们之前发现,体重循环者很可能有高血压、血脂异常和糖尿病的处方药,这表明心脏代谢疾病的患病率很高。目的:在相似的高基线BMI人群中,没有先前的研究比较纵向体重轨迹(体重稳定、体重增加、体重减轻或体重循环)与常见的特定心脏代谢疾病之间的关系。方法:利用1997年至2020年在范德比尔特大学医学中心接受治疗的所有成年人的去识别电子健康记录数据和一种具有里程碑意义的方法,我们建立了多变量cox比例风险回归模型,以确定体重轨迹与十种高度流行的心脏代谢疾病风险之间的关系。结果:与体重稳定相比,体重循环与阻塞性睡眠呼吸暂停的风险增加近30%相关(HR 1.28;95% ci 1.15-1.42), masld (hr 1.28;95% CI 1.08-1.51)和T2DM (HR 1.23;95% ci 1.10-1.38)。体重循环也与心力衰竭风险增加50%以上相关(HR 1.54;95% CI 1.31-1.82),尽管体重增加和体重减少也显示HF的风险增加(HR 1.29;95% CI 1.08-1.55, HR 1.32;95% CI分别为1.10-1.58)。结论:体重循环与心脏代谢疾病风险之间的关系与高基线BMI无关,这在体重轨迹组中相似。目前的研究结果支持促进高BMI体重稳定或体重减轻,如果能够维持,以防止各种心脏代谢疾病的发生。
Weight Trajectory Impacts Risk for Ten Distinct Cardiometabolic Diseases.
Context: Repetitive bouts of weight loss and regain, termed weight cycling, may exaggerate risk for cardiometabolic disease. We previously identified that weight cyclers were likely to have prescribed medications for hypertension, dyslipidemia, and diabetes - suggesting high prevalence of cardiometabolic disease.
Objective: No prior study has compared relationships between longitudinal weight trajectory (weight stable, weight gainer, weight loser, or weight cycler) and commonly occurring specific cardiometabolic diseases among persons with similar high baseline BMI.
Methods: Using de-identified electronic health record data from all adults treated at Vanderbilt University Medical Center between 1997 to 2020 and a landmark approach, we developed multivariate cox proportional hazards regression models to determine relationships between weight trajectory and risk for ten highly prevalent cardiometabolic diseases.
Results: Compared to weight stability, weight cycling associated with almost 30% increased risk for obstructive sleep apnea (HR 1.28; 95% CI 1.15-1.42), MASLD (HR 1.28; 95% CI 1.08-1.51), and T2DM (HR 1.23; 95% CI 1.10-1.38). Weight cycling also associated with more than 50% increased risk for heart failure (HR 1.54; 95% CI 1.31-1.82), although both weight gain and weight loss also showed increased risk for HF (HR 1.29; 95% CI 1.08-1.55 and HR 1.32; 95% CI 1.10-1.58, respectively).
Conclusions: The relationship between weight cycling and cardiometabolic disease risk was independent of having high baseline BMI, which was similar among weight trajectory groups. The present findings support promoting either weight stability at high BMI or weight loss if able to be maintained to prevent the incidence of a variety of cardiometabolic diseases.