异速体形指数（ABSI）和髋部指数（HI）以及多特征体形表型与炎症标志物的关联尚未进行比较。本研究的目的是利用欧洲癌症与营养前瞻性调查 (EPIC) 和英国生物银行队列的数据，探讨新型和传统人体测量指标与炎症之间的关系。EPIC 的参与者（n = 17,943，69.1% 为女性）和英国生物银行（n = 426,223，53.2% 女性）的人体测量指数和 C 反应蛋白 (CRP) 数据包含在该横断面分析中。 EPIC 中的一部分女性还至少进行了一项白细胞介素、肿瘤坏死因子 α、干扰素 γ、瘦素和脂联素的测量。通过对身高、体重、体重指数 (BMI)、腰围 (WC) 和臀围 (HC) 以及腰臀比 (WHR) 的主成分 (PC) 分析得出四种不同的体型表型。 PC1 描述整体肥胖，PC2 高，腰臀比低，PC3 高，中心性肥胖，PC4 高 BMI 和体重，低 WC 和 HC，表明运动表型。还计算了ABSI、HI、腰高比和腰臀指数(WHI)。线性回归模型分别在 EPIC 和 UK Biobank 中按性别分层，并根据年龄、吸烟状况、教育程度和体力活动进行调整。结果还被纳入随机效应荟萃分析中。传统人体测量指标，特别是 BMI、WC 和体重，与男性和女性的 CRP 水平呈正相关。体形表型也显示出与 CRP 的明显关联。具体来说，在 EPIC 和 UK Biobank 中，PC2 在两性中都显示出与 CRP 呈负相关，与身高类似。在女性中，PC3 与 CRP 呈负相关，而在男性中则呈正相关。体型和体脂肪分布的具体指标显示与成人炎症存在差异相关性。值得注意的是，我们的结果表明，对于女性来说，身高可能会减轻较高的 WC 和 HC 对炎症的影响。这表明肥胖亚型的炎症潜力存在显着差异，这可能对炎症相关的慢性疾病产生影响。© 2024。作者。

The allometric body shape index (ABSI) and hip index (HI), as well as multi-trait body shape phenotypes, have not yet been compared in their associations with inflammatory markers. The aim of this study was to examine the relationship between novel and traditional anthropometric indexes with inflammation using data from the European Prospective Investigation into Cancer and Nutrition (EPIC) and UK Biobank cohorts.Participants from EPIC (n = 17,943, 69.1% women) and UK Biobank (n = 426,223, 53.2% women) with data on anthropometric indexes and C-reactive protein (CRP) were included in this cross-sectional analysis. A subset of women in EPIC also had at least one measurement for interleukins, tumour necrosis factor alpha, interferon gamma, leptin, and adiponectin. Four distinct body shape phenotypes were derived by a principal component (PC) analysis on height, weight, body mass index (BMI), waist (WC) and hip circumferences (HC), and waist-to-hip ratio (WHR). PC1 described overall adiposity, PC2 tall with low WHR, PC3 tall and centrally obese, and PC4 high BMI and weight with low WC and HC, suggesting an athletic phenotype. ABSI, HI, waist-to-height ratio and waist-to-hip index (WHI) were also calculated. Linear regression models were carried out separately in EPIC and UK Biobank stratified by sex and adjusted for age, smoking status, education, and physical activity. Results were additionally combined in a random-effects meta-analysis.Traditional anthropometric indexes, particularly BMI, WC, and weight were positively associated with CRP levels, in men and women. Body shape phenotypes also showed distinct associations with CRP. Specifically, PC2 showed inverse associations with CRP in EPIC and UK Biobank in both sexes, similarly to height. PC3 was inversely associated with CRP among women, whereas positive associations were observed among men.Specific indexes of body size and body fat distribution showed differential associations with inflammation in adults. Notably, our results suggest that in women, height may mitigate the impact of a higher WC and HC on inflammation. This suggests that subtypes of adiposity exhibit substantial variation in their inflammatory potential, which may have implications for inflammation-related chronic diseases.© 2024. The Author(s).