Shasha Liu, Zhanfang Zhu, Kai Yu, Wei Zhang, Jie Pu, Ying Lv, Zhiguo Tang, Fuqiang Liu, Yongqiang Sun
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Multivariate logistic regression analyses and restricted cubic splines (RCS) were employed to explore the association between CDAI and DR. Furthermore, subgroup analyses were conducted to further examine the relationship.In this study, a total of 2,158 participants were included, with a mean age of 58.87 years. After adjusting for all potential confounding factors, multivariate logistic regression analyses consistently demonstrated a negative correlation between CDAI and DR (OR = 0.94, 95%CI: 0.90–0.98, p = 0.007). Specifically, individuals in the highest quartile of CDAI had a significantly reduced risk of DR compared to those in the lowest quartile (OR = 0.51, 95%CI: 0.34–0.75, p < 0.001). The RCS analyses further confirmed the linear negative correlation between CDAI and DR (non-linear p = 0.101). Additionally, subgroup analyses provided further evidence for the robustness of this association across different subpopulations.Our study highlights the linear negative correlation between CDAI and DR in type 2 diabetic patients. 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引用次数: 0
摘要
虽然糖尿病视网膜病变(DR)与膳食模式和氧化应激密切相关,但有关复合膳食抗氧化剂指数(CDAI)和糖尿病视网膜病变之间关系的研究却很少。本研究旨在通过分析美国国家健康与营养调查(NHANES)的数据,探讨 2 型糖尿病患者的 CDAI 与 DR 之间的关系,从而填补这一空白,为预防 DR 的饮食指导提供依据。有关饮食摄入量的信息是通过 24 小时饮食回忆访谈收集的。采用多变量逻辑回归分析和限制性立方样条(RCS)来探讨 CDAI 与 DR 之间的关系。本研究共纳入 2,158 名参与者,平均年龄为 58.87 岁。在对所有潜在混杂因素进行调整后,多变量逻辑回归分析一致表明 CDAI 与 DR 之间存在负相关(OR = 0.94,95%CI:0.90-0.98,p = 0.007)。具体来说,CDAI 最高四分位数的人与最低四分位数的人相比,患 DR 的风险明显降低(OR = 0.51,95%CI:0.34-0.75,p < 0.001)。RCS 分析进一步证实了 CDAI 与 DR 之间的线性负相关(非线性 p = 0.101)。此外,亚组分析进一步证明了这种关联在不同亚人群中的稳健性。我们的研究强调了 CDAI 与 2 型糖尿病患者 DR 之间的线性负相关。未来仍需要进一步的前瞻性研究来证实 CDAI 在 DR 发病风险中的作用。
The association between composite dietary antioxidant index and diabetic retinopathy in type 2 diabetic patients: evidence from the NHANES
Although diabetic retinopathy (DR) is closely related to dietary patterns and oxidative stress, there is little research on the relationship between the compound dietary antioxidant index (CDAI) and DR. This study aims to fill this gap by analyzing data from the National Health and Nutrition Examination Survey (NHANES) to explore the association between CDAI and DR in patients with type 2 diabetes, in order to provide a basis for dietary guidance to prevent DR.Data for this study was obtained from NHANES conducted between 1999 and 2020. Information regarding dietary intake was collected through 24 h dietary recall interviews. Multivariate logistic regression analyses and restricted cubic splines (RCS) were employed to explore the association between CDAI and DR. Furthermore, subgroup analyses were conducted to further examine the relationship.In this study, a total of 2,158 participants were included, with a mean age of 58.87 years. After adjusting for all potential confounding factors, multivariate logistic regression analyses consistently demonstrated a negative correlation between CDAI and DR (OR = 0.94, 95%CI: 0.90–0.98, p = 0.007). Specifically, individuals in the highest quartile of CDAI had a significantly reduced risk of DR compared to those in the lowest quartile (OR = 0.51, 95%CI: 0.34–0.75, p < 0.001). The RCS analyses further confirmed the linear negative correlation between CDAI and DR (non-linear p = 0.101). Additionally, subgroup analyses provided further evidence for the robustness of this association across different subpopulations.Our study highlights the linear negative correlation between CDAI and DR in type 2 diabetic patients. Further prospective studies are still needed in the future to confirm the role of CDAI in the risk of developing DR.