Diabetes Research Centre, University of Leicester, Leicester, UK.
Novo Nordisk A/S, Søborg, Denmark.
Diabetes Obes Metab. 2023 Sep;25(9):2669-2679. doi: 10.1111/dom.15154. Epub 2023 Jun 7.
To examine associations between weight loss/gain and risk of developing 13 obesity-related complications (ORCs), stratified by baseline body mass index (BMI).
In this retrospective cohort study, we included adults with obesity (>30 kg/m ) from the UK Clinical Practice Research Datalink GOLD database with weight change (-50% to +50%) between Years 1 and 4 (N = 418 774 [median follow-up: 7 years]). Associations between weight change, baseline BMI and risk of developing ORCs during follow-up were assessed using Cox proportional hazard models.
The impact of weight change on ORCs was generally dependent on baseline BMI. Four clear patterns were seen across the 13 outcomes. Pattern 1 showed greatest weight loss benefit for people with low baseline BMI (type 2 diabetes, sleep apnoea, hypertension and dyslipidaemia); Pattern 2 showed most weight loss benefit at lower baseline BMI but no significant weight loss effect at higher baseline BMI (asthma, hip/knee osteoarthritis and polycystic ovary syndrome); Pattern 3 showed benefit in most cardiovascular diseases with weight loss (chronic kidney disease, heart failure, atrial fibrillation and venous thromboembolism), but no additional benefit with >10% weight loss; Pattern 4 showed no clear relationship between weight change and unstable angina/myocardial infarction and depression. We found similar but opposite patterns for weight gain.
Weight loss benefit is dependent on weight loss magnitude and initial BMI, and weight gain is associated with a similar risk increase. Four patterns of association were identified between degree of weight change, baseline BMI and 13 ORCs.
通过分层基线体重指数(BMI),研究体重减轻/增加与 13 种肥胖相关并发症(ORC)发病风险之间的关系。
在这项回顾性队列研究中,我们纳入了来自英国临床实践研究数据链接 GOLD 数据库的肥胖成年人(>30kg/m ),他们在第 1 年至第 4 年期间体重变化为(-50%至+50%)(N=418774[中位随访时间:7 年])。使用 Cox 比例风险模型评估体重变化、基线 BMI 与随访期间发生 ORC 风险之间的关系。
体重变化对 ORC 的影响通常取决于基线 BMI。在 13 种结果中,有 4 种明确的模式。模式 1 显示低基线 BMI 的人减肥获益最大(2 型糖尿病、睡眠呼吸暂停、高血压和血脂异常);模式 2 显示低基线 BMI 下减肥获益最大,但高基线 BMI 下无明显减肥效果(哮喘、髋/膝骨关节炎和多囊卵巢综合征);模式 3 显示大多数心血管疾病减肥有益(慢性肾脏病、心力衰竭、心房颤动和静脉血栓栓塞),但体重减轻超过 10%无额外获益;模式 4 显示体重变化与不稳定型心绞痛/心肌梗死和抑郁症之间无明确关系。我们发现体重增加也有类似但相反的模式。
体重减轻获益取决于体重减轻幅度和初始 BMI,体重增加与相似的风险增加相关。体重变化程度、基线 BMI 与 13 种 ORC 之间存在 4 种关联模式。