Association between dietary inflammatory index and low muscle mass in diabetes/prediabetes patients

作者全名："Chen, Wei; Xiong, Bingquan; Liao, Zhiyin; Xiao, Minghan"

作者地址："[Chen, Wei] Chongqing Med Univ, Affiliated Hosp 1, Dept Emergency Med, Friendship Rd 1, Yuan Jiagang, Chongqing 400016, Peoples R China; [Xiong, Bingquan; Liao, Zhiyin] Chongqing Med Univ, Affiliated Hosp 2, Dept Cardiol, Linjiang Rd 76, Chongqing 400010, Peoples R China; [Xiao, Minghan] Chinese Acad Sci, Chongqing Hosp, Dept Cardiol, 118, Xingguang Ave, Liangjiang New Area, Chongqing 401147, Peoples R China"

通信作者："Chen, W (通讯作者)，Chongqing Med Univ, Affiliated Hosp 1, Dept Emergency Med, Friendship Rd 1, Yuan Jiagang, Chongqing 400016, Peoples R China."

来源：EXPERIMENTAL GERONTOLOGY

ESI学科分类：CLINICAL MEDICINE

WOS号：WOS:001046174600001

JCR分区：Q2

影响因子：3.3

年份：2023

卷号：179

期号：　

开始页：　

结束页：　

文献类型：Article

关键词：Diabetes; Prediabetes; Dietary inflammation index; Low muscle mass; NHANES

摘要："Background: Growing evidence has increasingly validated that individuals with diabetes/prediabetes have a higher prevalence of low skeletal muscle mass and function compared to healthy individuals. The antiinflammatory diet is considered a promising and modifiable approach to optimize skeletal muscle quality. However, current evidence on the relation of dietary inflammatory potential with low muscle mass among diabetic/prediabetic patients is limited. Methods: Dietary consumption was determined by trained staff using the 24-hour diet recall method, and the Dietary Inflammatory Index (DII) was scored based on a previously validated approach that included 26 food parameters. Dual-energy X-ray absorptiometry was used to assess the mass of skeletal muscle and low muscle mass was defined based on the sarcopenia index. Logistic regression was conducted to calculate odds ratios (ORs) and 95 % confidence intervals (CIs). Restricted cubic spline (RCS) analysis was also performed to visually represent the relationship between DII and low muscle mass. Furthermore, sensitivity and subgroup analyses were conducted. Results: In this study, a total of 4269 eligible participants were registered, comprising 1975 (46.26 %) females and 2294 (53.74 %) males. The mean age was 49.98 & PLUSMN; 0.31 years old, and the mean DII score was 1.53 & PLUSMN; 0.04. Among them, 934 (21.88 %) patients were defined as having low muscle mass, while 3335 (78.12 %) were without low muscle mass. The highest tertile (T3) of DII had an 61 % increased risk of low muscle mass (OR = 1.61, 95%CI: 1.19-2.17, p for trend = 0.004) compared to the lowest tertile. The RCS curve displayed a linear dose-response relationship between DII score and low muscle mass risk in patients with diabetes/prediabetes. Subgroup and sensitivity analyses provided robustness to our results. Conclusions: Our results indicated that a higher DII score was associated with an increased risk of low muscle mass among diabetes/prediabetes patients. These findings provided a nutritional strategy for diabetes/prediabetes patients to prevent skeletal muscle mass loss."

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