Department of Psychosomatic Medicine, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China.
The First Clinical College of Shandong University of Traditional Chinese Medicine, Jinan, China.
Front Public Health. 2022 Oct 13;10:988727. doi: 10.3389/fpubh.2022.988727. eCollection 2022.
Growing evidence has shown that the antioxidant diet is a protective factor against depression. However, the relationship between the Composite Dietary Antioxidant Index (CDAI), an important measure of antioxidant diet, and depression has received little attention. Therefore, we investigated the relationship between CDAI and depression through a cross-sectional analysis of the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2018.
The association between CDAI and depression was investigated using a weighted multiple logistic regression model with subgroup analysis. Non-linear correlations were explored using fitted smoothing curves. And we used a recursive method to figure out the turning point and build a weighted two-piece linear regression model.
In the multivariate logistic regression model with full adjustment for confounding variables, the ORs (95% CI) for the association between CDAI and depression were 0.83 (0.78, 0.88). Moreover, a non-linear association was found, with 0.16 being the inflection point. Before the inflection point, each unit increase in CDAI was associated with a 30% decrease in the risk of depression. After the inflection point, the risk of depression was found to be reduced by 11% for each unit increase. None of the interactions in all subgroup analyses were statistically significant.
Our study highlighted a negative non-linear association between CDAI and depression in a nationally representative sample of US adults. Further clinical and basic research is needed to explore their association better.
越来越多的证据表明，抗氧化饮食是预防抑郁症的一个保护因素。然而，复合饮食抗氧化指数（CDAI）作为抗氧化饮食的一个重要衡量指标，与抑郁症之间的关系却很少受到关注。因此，我们通过对 2007 年至 2018 年全国健康与营养调查（NHANES）的横断面分析，研究了 CDAI 与抑郁症之间的关系。
使用加权多因素 logistic 回归模型进行分析，并进行亚组分析。采用拟合平滑曲线探索非线性相关性。并使用递归方法找出转折点并构建加权两段线性回归模型。
在经过充分调整混杂因素的多因素 logistic 回归模型中，CDAI 与抑郁症之间的 OR（95%CI）为 0.83（0.78，0.88）。此外，还发现了一种非线性关联，拐点为 0.16。在拐点之前，CDAI 每增加一个单位，患抑郁症的风险就会降低 30%。在拐点之后，CDAI 每增加一个单位，患抑郁症的风险就会降低 11%。所有亚组分析中的交互作用均无统计学意义。
本研究在具有代表性的美国成年人样本中强调了 CDAI 与抑郁症之间存在负向非线性关联。需要进一步的临床和基础研究来更好地探索它们之间的关系。
