饮食炎症指数、经验饮食炎症模式、饮食和生活方式炎症评分与多囊卵巢综合征之间的关系:一项病例对照研究

IF 3.3 3区 医学 Q3 ENDOCRINOLOGY & METABOLISM
Fatemeh Vaziri Esfarjani, Parvin Dorfeshan, Anahita Mansouri, Farnush Bakhshimoghaddam, Roshan Nikbakht, Shahla Vaziri Esfarjani, Hadis Varaee
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引用次数: 0

摘要

背景:多囊卵巢综合征(PCOS)是影响育龄妇女的一种常见的代谢和内分泌疾病。其发病机制与慢性低度炎症有关,饮食和生活方式起关键作用。饮食炎症指数(DII)、经验饮食炎症模式(EDIP)和饮食和生活方式炎症评分(DLIS)是评估全身炎症的不同指标。DII侧重于营养成分,EDIP源自数据驱动的食物模式,而DLIS整合了饮食和生活方式因素。虽然这些炎症指数与代谢性疾病有关,但它们与多囊卵巢综合征的关系仍未得到研究。本研究旨在评估这些关联。方法:本病例对照研究包括100名新诊断为多囊卵巢综合征的妇女(经鹿特丹标准确诊,3个月内)和100名年龄匹配(±2岁)的对照,来自伊朗阿瓦士的伊玛目霍梅尼医院不孕不育中心。对照组从到同一中心进行常规生育检查的妇女中选择,排除那些有多囊卵巢综合征症状或激素失调的妇女。膳食摄入量评估采用经验证的147项食物频率问卷。计算炎症评分,并采用logistic回归分析其与PCOS的相关性。结果:在控制了年龄、BMI、能量摄入(不含DII)、体力活动、教育程度、婚姻状况、生育、就业状况、家庭收入、糖尿病史、甲状腺功能减退等因素后,多变量模型中dis (OR: 3.70; 95%CI: 1.05 ~ 5.70, P-trend = 0.002)和DII (OR: 2.82; 95%CI: 1.10 ~ 5.60, P-trend = 0.03)的五分位数中PCOS的几率更高。然而,EDIP与PCOS的可能性之间没有统计学关联。结论:促炎饮食(较高的DII)和联合饮食-生活方式模式(较高的DLIS)与PCOS的发生率相关,强调了抗炎干预的重要性。然而,病例对照设计限制了因果解释,需要未来的队列研究来确认时间性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Association between dietary inflammatory index, empirical dietary inflammatory patterns, dietary and lifestyle inflammation scores, and polycystic ovary syndrome: a case-control study.

Association between dietary inflammatory index, empirical dietary inflammatory patterns, dietary and lifestyle inflammation scores, and polycystic ovary syndrome: a case-control study.

Association between dietary inflammatory index, empirical dietary inflammatory patterns, dietary and lifestyle inflammation scores, and polycystic ovary syndrome: a case-control study.

Background: Polycystic ovary syndrome (PCOS) is a common metabolic and endocrine disorder affecting women of reproductive age. Chronic low-grade inflammation is implicated in its pathogenesis, with diet and lifestyle playing pivotal roles. The Dietary Inflammatory Index (DII), Empirical Dietary Inflammatory Pattern (EDIP), and Dietary and Lifestyle Inflammation Scores (DLIS) are distinct indices developed to assess systemic inflammation. The DII focuses on nutrient composition, EDIP derives from data-driven food patterns, and DLIS integrates both dietary and lifestyle factors. While these inflammatory indices have been linked to metabolic diseases, their associations with PCOS remain unexplored. This study aimed to evaluate these associations.

Methods: This case-control study included 100 women with newly diagnosed PCOS (confirmed by Rotterdam criteria, within 3 months) and 100 age-matched (± 2 years) controls, recruited from the Imam Khomeini Hospital Infertility Centre in Ahvaz, Iran. Controls were selected from women visiting the same center for routine fertility check-ups, excluding those with PCOS symptoms or hormonal disorders. Dietary intake was assessed using a validated 147-item Food Frequency Questionnaire. Inflammatory scores were calculated, and logistic regression was used to analyze their associations with PCOS.

Results: The results showed that the odds of PCOS were higher in the multivariable model across tertiles of DLIS (OR: 3.70; 95%CI: 1.05-5.70, P-trend = 0.002) and DII (OR: 2.82; 95%CI: 1.10-5.60, P-trend = 0.03) after controlling for age, BMI, energy intake (except for DII), physical activity, educational level, marital status, parity, employment status, household income, history of diabetes mellitus, and hypothyroidism. However, no statistical association was found between EDIP and the likelihood of PCOS.

Conclusion: Pro-inflammatory diets (higher DII) and combined diet-lifestyle patterns (higher DLIS) were associated with odds of PCOS, highlighting the importance of anti-inflammatory interventions. However, the case-control design limits causal interpretation, and future cohort studies are needed to confirm temporality.

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来源期刊
BMC Endocrine Disorders
BMC Endocrine Disorders ENDOCRINOLOGY & METABOLISM-
CiteScore
4.40
自引率
0.00%
发文量
280
审稿时长
>12 weeks
期刊介绍: BMC Endocrine Disorders is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of endocrine disorders, as well as related molecular genetics, pathophysiology, and epidemiology.
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