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复合膳食抗氧化指数与中老年人群抑郁和全因死亡率的关系。

Association of composite dietary antioxidant index with depression and all-cause mortality in middle-aged and elderly population.

机构信息

University City Hospital, Affiliated Hospital of Shandong University of Chinese Medicine, Jinan, China.

Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China.

出版信息

Sci Rep. 2024 Apr 29;14(1):9809. doi: 10.1038/s41598-024-60322-0.

Abstract

Current research has shown an increasing acceptance of interventions for depression through dietary modifications. However, whether composite dietary antioxidant index (CDAI) is associated with depression and all-cause mortality in middle-aged and elderly population remains unknown. This study aimed to explore those associations in American middle-aged and elderly population. Weighted logistic regression models and weighted Cox proportional hazard regression models were used to assess the association of CDAI, covariates, depression, and all-cause mortality, respectively. The stability of the results was also determined by a linear trend test based on CDAI quintiles. Restricted cubic spline curves were employed to test for non-linear relationships. In the model adjusted for all covariates, significant associations were found with the ORs (95% CI) for CDAI and depression [0.77 (0.67, 0.89)] and the HRs (95% CI) for CDAI with all-cause mortality[0.91 (0.83, 1.00)]. Upon conducting restricted cubic spline curves, we found that the association between CDAI and depression was linear, whereas the association between CDAI and all-cause mortality was non-linear with an inflection point of -0.19. Statistical significance was only found before the inflection point. In this study of middle-aged and elderly Americans, CDAI was linearly negatively associated with depression and non-linearly negatively associated with all-cause mortality.

摘要

目前的研究表明,通过饮食调整,人们越来越接受抑郁症的干预措施。然而,复合饮食抗氧化指数(CDAI)是否与中年和老年人群的抑郁症和全因死亡率有关尚不清楚。本研究旨在探讨美国中年和老年人群中这些关联。使用加权逻辑回归模型和加权 Cox 比例风险回归模型分别评估 CDAI、协变量、抑郁症和全因死亡率之间的相关性。还通过基于 CDAI 五分位数的线性趋势检验来确定结果的稳定性。采用限制性立方样条曲线来检验非线性关系。在调整所有协变量的模型中,CDAI 与抑郁症的比值比(95%CI)[0.77(0.67,0.89)]和 CDAI 与全因死亡率的风险比(95%CI)[0.91(0.83,1.00)]之间存在显著关联。进行限制性立方样条曲线后,我们发现 CDAI 与抑郁症之间的关联呈线性,而 CDAI 与全因死亡率之间的关联呈非线性,拐点为-0.19。仅在拐点之前发现具有统计学意义。在这项对美国中年和老年人群的研究中,CDAI 与抑郁症呈线性负相关,与全因死亡率呈非线性负相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e302/11058273/6cd349e77355/41598_2024_60322_Fig1_HTML.jpg

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