Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain.
Department of Cardiology, Complejo Hospitalario de Navarra, Pamplona, Spain.
Obesity (Silver Spring). 2017 Jun;25(6):997-1005. doi: 10.1002/oby.21833.
This study prospectively assessed the association of the inflammatory potential of a diet using the dietary inflammatory index (DII) with average yearly weight changes and incident overweight/obesity.
Seven thousand and twenty-seven university graduates with body mass index <25 from the Seguimiento Universidad de Navarra (SUN) cohort were followed up during a median of 8.1 years. The DII, a validated tool based on scientific evidence to appraise the relationship between dietary parameters and inflammatory biomarkers, was used. A validated food-frequency questionnaire was used to assess intake of total energy, food, and nutrients, from which DII scores were calculated at baseline and after 10 years of follow-up.
After a median follow-up of 8.1 years, 1,433 incident cases of overweight or obesity were observed. Hazard ratios for overweight/obesity were calculated, including multivariable time-dependent Cox regression models with repeated measures of diet. The hazard ratio for subjects in the highest quartile (most pro-inflammatory diet) was 1.32 (95% confidence interval 1.08-1.60) compared with participants in the lowest quartile (most anti-inflammatory diet), with a significant linear dose-response relationship (P = 0.004). Consistently, increases in average yearly weight gains were significantly associated with proinflammatory diets.
A proinflammatory diet was significantly associated with a higher annual weight gain and higher risk of developing new-onset overweight or obesity.
本研究前瞻性评估了饮食炎症指数(DII)评估的饮食炎症潜力与平均年体重变化和超重/肥胖发生率之间的关联。
纳瓦拉大学随访研究(SUN)队列中,727 名 BMI<25 的大学毕业生在中位 8.1 年的随访期间进行了随访。DII 是一种基于科学证据评估饮食参数与炎症生物标志物之间关系的验证工具。使用经过验证的食物频率问卷来评估总能量、食物和营养素的摄入量,根据基线和 10 年随访时的摄入量计算 DII 评分。
在中位随访 8.1 年后,观察到 1433 例超重或肥胖新发病例。计算超重/肥胖的风险比,包括多变量时间依赖性 Cox 回归模型和重复测量的饮食。与最低四分位数(最抗炎饮食)相比,最高四分位数(最促炎饮食)的受试者风险比为 1.32(95%置信区间 1.08-1.60),呈显著线性剂量反应关系(P=0.004)。同样,平均年体重增加与促炎饮食显著相关。
促炎饮食与年体重增加较高和超重或肥胖新发病风险增加显著相关。