与代谢综合征及其组成部分相关的低级炎症评分 (INFLA-评分) 在轮班工人中
Suxin Jiang1, Jueqi Wang1, Xue Guan1
1College of Public Health, Xinjiang Medical University, Urumqi, Xinjiang Uygur Autonomous Region, China.
Diabetology & metabolic syndrome
|October 4, 2025
概括
较高的炎症评分 (INFLA评分) 与油田轮班工人代谢综合征 (MetS) 风险增加有关. 控制炎症因素可能有助于在这个人群中预防MetS.
科学领域:
- 职业健康 职业健康 职业健康
- 炎症研究 炎症研究
- 代谢综合征研究 代谢综合征研究
背景情况:
- 油田运营中的轮班工作带来了独特的健康挑战.
- 代谢综合征 (MetS) 是一个日益关注的问题,特别是在职业环境中.
- 低级系统性炎症越来越多地被认为是慢性疾病的贡献者.
研究的目的:
- 调查油田轮班工人炎症评分 (INFLA评分) 和MetS之间的关联.
- 通过管理炎症反应,提供支持预防MetS的数据.
- 分析INFLA得分和单个MetS组件之间的关系.
主要方法:
- 使用C反应蛋白,白细胞计数,血小板计数和中性粒细胞与淋巴细胞比率 (NLR) 计算INFLA得分.
- 分析了新疆卡拉迈市1758名轮班工人的数据.
- 采用后勤回归和限制立方线模型来评估INFLA-score和MetS关系.
主要成果:
- 在更高的INFLA得分和更高的MetS概率 (OR=1.08) 之间发现了显著的积极关联.
- 最高INFLA四分位数组与最低相比,MetS的风险增加了3.58倍.
- INFLA得分与血糖升高,血压,腰围,甘油三和较低的HDL相关,表明了剂量与反应的关系.
- 女性比男性有更高的MetS风险,性别和INFLA得分之间有显著的相互作用效应.
结论:
- 升高的INFLA-score是油田轮班工人中MetS的重要预测因素.
- 在INFLA-得分作为一个简单和成本效益的生物标志物用于METS风险.
- 向和控制炎症因子水平是预防轮班工人MetS的可行策略.
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