Yun Kyung Eun, Nam Ga Eun, Lim Jisun, Park Hye Soon, Chang Yoosoo, Jung Hyun-Suk, Kim Chan-Won, Ko Byung-Joon, Chung Eun Chul, Shin Hocheol, Ryu Seungho
Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University, School of Medicine, Seoul, South Korea.
Department of Family Medicine, Korea University Ansan Hospital, Korea University College of Medicine, Ansan-si, South Korea.
PLoS One. 2016 Jul 15;11(7):e0158710. doi: 10.1371/journal.pone.0158710. eCollection 2016.
We examined the relationship between changes in waist circumference (WC) and the incidence of nonalcoholic fatty liver disease (NAFLD).
A cohort study of 37,130 men and women were followed-up annually or biennially. Differences in WC between baseline and subsequent measurements were categorized in quartiles: first (WC loss), second (no change in WC as the reference), third and highest quartiles (WC gain). The presence of fatty liver was determined using ultrasound. Parametric Cox modeling was used to estimate the adjusted hazard ratios (aHR) and 95% confidence intervals (CIs) of the incidence of NAFLD.
During 127,324.4 person-years of follow-up, 6249 participants developed NAFLD. Despite adjusting for possible confounders, the risk of development of NAFLD increased with increasing quartiles of WC change in a dose-response manner (p for trend < 0.001). Compared with the reference, WC loss was associated with a lower risk of NAFLD (men: aHR 0.79 [95% CI: 0.73-0.87]; women: 0.72 [0.63-0.81]), and the highest quartile (WC gain) was associated with a higher risk of NAFLD (men: 1.30 [1.19-1.42]; women: 1.48 [1.31-1.67]).
Waist gain appears to increase the risk of developing NAFLD, independently of the baseline body mass index and WC.
我们研究了腰围(WC)变化与非酒精性脂肪性肝病(NAFLD)发病率之间的关系。
对37130名男性和女性进行队列研究,每年或每两年随访一次。基线测量值与后续测量值之间的腰围差异分为四分位数:第一四分位数(腰围减少)、第二四分位数(腰围无变化作为参照)、第三和最高四分位数(腰围增加)。通过超声检查确定是否存在脂肪肝。采用参数Cox模型估计NAFLD发病率的调整后风险比(aHR)和95%置信区间(CI)。
在127324.4人年的随访期间,6249名参与者发生了NAFLD。尽管对可能的混杂因素进行了调整,但NAFLD发生风险随着腰围变化四分位数的增加呈剂量反应关系增加(趋势p<0.001)。与参照组相比,腰围减少与较低的NAFLD风险相关(男性:aHR 0.79 [95%CI:0.73 - 0.87];女性:0.72 [0.63 - 0.81]),最高四分位数(腰围增加)与较高的NAFLD风险相关(男性:1.30 [1.19 - 1.42];女性:1.48 [1.31 - 1.67])。
腰围增加似乎会增加发生NAFLD的风险,独立于基线体重指数和腰围。