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代谢与人体测量表型与肥胖相关癌症风险之间关联的性别差异:一项前瞻性队列研究

Sex disparity in the association between metabolic-anthropometric phenotypes and risk of obesity-related cancer: a prospective cohort study

影响因子:8.30000
分区:医学1区 Top / 医学:内科1区
发表日期:2024 Sep 02
作者: Jianxiao Gong, Fubin Liu, Yu Peng, Peng Wang, Changyu Si, Xixuan Wang, Huijun Zhou, Jiale Gu, Ailing Qin, Fangfang Song

摘要

代谢性肥胖(由体重指数,BMI)表型与肥胖相关癌症(ORC)之间的性别差异尚不清楚。考虑BMI反映总体肥胖但不反映脂肪的分布,我们旨在系统地评估我们新提出的代谢性人体测量表型与性别的整体和现场特异性ORC的风险,总计141,579名男性(平均年龄:56.37岁:56.37岁:56.37岁:56.37岁,平均随访时间:12.04岁)和年龄段(年龄在131,01,04年)(56岁)(56岁)(56岁):56. 56. 56:56:56:56:56:56:56岁。包括英国生物库的11。82年),并根据代谢状态(代谢健康/不健康),BMI(非肥胖/肥胖)和身体形状(梨/Slim/Apple/Apple/Apple)指定为代谢人体测量型。 使用COX比例危害回归模型评估了不同表型与整体和现场特异性ORC的性别特异性关联,并通过危险比(HRS)和95%的置信区间(HR)和95%的置信区间(CI)评估。我们发现,与女性在整体ORC和色彩抗体癌症中的代谢不健康和/或肥胖表相比,男性的风险更高。 (Pinteraction <0.05)。值得注意的是,代谢健康的肥胖表型导致大多数兽人在男性中的风险增加(HRS:1.58〜2.91),但仅与子宫内膜的风险更高(HR = 1.89,95%CI:1.54-2.32)和绝经后乳房乳腺癌和妇女后乳腺癌(HR = 1.17,95%CI:1.17,95%CI:1。1.1.17,95%:1。1.05%:1。1.05%:1。1.05%:1。1.05%:1。1.05%:1。1.05%:1。1.05%:1。1.05%:1。1.05%:1。1.05%:1。1.05%。同样,即使在代谢健康的情况下,携带苹果和宽形状表型(代谢健康的苹果/宽和代谢健康的非肥胖苹果/宽)的男性也会增加患ORC的风险(主要是结直肠,肝脏,胃心脏心脏心脏和肾癌和肾脏癌,HRS:1.20 〜3.81)的风险(主要是与梨形状相比)。代谢人体测量表型和兽人风险。我们建议未来的预防ORC预防和控制值得考虑身体形状和性别差异。

Abstract

Sex disparity between metabolic-obesity (defined by body mass index, BMI) phenotypes and obesity-related cancer (ORC) remains unknown. Considering BMI reflecting overall obesity but not fat distribution, we aimed to systematically assess the association of our newly proposed metabolic-anthropometric phenotypes with risk of overall and site-specific ORC by sex.A total of 141,579 men (mean age: 56.37 years, mean follow-up time: 12.04 years) and 131,047 women (mean age: 56.22 years, mean follow up time: 11.82 years) from the UK Biobank was included, and designated as metabolic-anthropometric phenotypes based on metabolic status (metabolically healthy/unhealthy), BMI (non-obesity/obesity) and body shape (pear/slim/apple/wide). The sex-specific association of different phenotypes with overall and site-specific ORC was assessed by hazard ratios (HRs) and 95% confidence intervals (CIs) using Cox proportional hazards regression models.We found metabolically unhealthy and/or obesity phenotypes conveyed a higher risk in men than in women for overall ORC and colorectal cancer compared with metabolically healthy non-obesity phenotype (Pinteraction < 0.05). Of note, metabolically healthy obesity phenotype contributed to increased risks of most ORC in men (HRs: 1.58 ~ 2.91), but only correlated with higher risks of endometrial (HR = 1.89, 95% CI: 1.54-2.32) and postmenopausal breast cancers (HR = 1.17, 95% CI: 1.05-1.31) in women. Similarly, even under metabolically healthy, men carrying apple and wide shapes phenotypes (metabolically healthy apple/wide and metabolically healthy non-obesity apple/wide) suffered an increased risk of ORC (mainly colorectal, liver, gastric cardia, and renal cancers, HRs: 1.20 ~ 3.81) in comparison with pear shape or non-obesity pear shape.There was a significant sex disparity between metabolic-anthropometric phenotypes and ORC risk. We advised future ORC prevention and control worth taking body shape and sex disparity into account.