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不同饮食质量评分与抑郁风险的关系:REGICOR 基于人群的队列研究。

Association between different diet quality scores and depression risk: the REGICOR population-based cohort study.

机构信息

Epidemiology and Public Health Programme, Hospital del Mar Medical Research Institute, PRBB, Carrer Doctor Aiguader 88, Barcelona, 08003, Spain.

Preventive Medicine and Public Health Training Unit PSMar-UPF-ASPB (Parc de Salut Mar - Pompeu Fabra University - Agència de Salut Pública de Barcelona), Barcelona, Spain.

出版信息

Eur J Nutr. 2024 Dec;63(8):2885-2895. doi: 10.1007/s00394-024-03466-z. Epub 2024 Aug 24.

DOI:10.1007/s00394-024-03466-z
PMID:39180556
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11519306/
Abstract

BACKGROUND

Our aim was to determine the association between diet quality and depression incidence in the population-based REGICOR cohort study, Catalonia, Spain.

METHODS

Prospective observational study using participants' baseline (2003-2006), follow-up (2007-2013) and clinical records data. Five diet quality scores were derived from a food frequency questionnaire (FFQ) at baseline: the relative Mediterranean Diet Score (rMED), the Modified Mediterranean Diet Score (ModMDS), a Dietary Approaches to Stop Hypertension (DASH) score, a Healthful Plant-based Diet Index (HPDI) and the World Health Organization Healthy Diet Indicator (WHO-HDI). Participants using pharmacological antidepressant treatment were excluded as a proxy for presence of depression at baseline. At follow-up, the Patient Health Questionnaire (PHQ-9) was applied to assess depressive symptoms (≥ 10 defining depressive disorder). A secondary outcome was depression diagnosis assessed through clinical records. Logistic regression and Cox proportional hazards models were used.

RESULTS

Main analysis included 3046 adults (50.3% women) with a mean age of 54.7 (SD = 11.6) years. After 6-years follow-up, 184 (6.04%) cases of depressive disorder were identified. There was 16% lower odds of depressive disorder per 1SD increase of rMED (OR = 0.84; 95%CI = 0.71-0.98). Secondary outcome analysis (n = 4789) identified 261 (5.45%) incident cases of clinical depression diagnosis over 12 years follow-up, and 19% lower risk of clinical depression was observed with the WHO-HDI (HR = 0.81; 95%CI = 0.70-0.93). Adjusting for BMI did not attenuate the findings.

CONCLUSIONS

A significant inverse association between diet quality and depression incidence was found in this population-based cohort study, independent of sociodemographic, health and lifestyle. Adherence to a healthy diet could be a complementary intervention for the prevention of depression.

摘要

背景

本研究旨在基于人群的 REGICOR 队列研究,评估饮食质量与抑郁发生率之间的关联,该研究在西班牙加泰罗尼亚进行。

方法

本研究为前瞻性观察研究,使用参与者的基线(2003-2006 年)、随访(2007-2013 年)和临床记录数据。在基线时使用食物频率问卷(FFQ)得出五个饮食质量评分:相对地中海饮食评分(rMED)、改良地中海饮食评分(ModMDS)、得舒饮食评分(DASH)、健康植物性饮食指数(HPDI)和世界卫生组织健康饮食指标(WHO-HDI)。排除使用抗抑郁药治疗的参与者,作为基线时存在抑郁的替代指标。在随访时,使用患者健康问卷(PHQ-9)评估抑郁症状(≥10 定义为抑郁障碍)。次要结局是通过临床记录评估的抑郁诊断。使用逻辑回归和 Cox 比例风险模型进行分析。

结果

主要分析纳入了 3046 名成年人(50.3%为女性),平均年龄为 54.7(SD=11.6)岁。随访 6 年后,共发现 184 例(6.04%)抑郁障碍病例。rMED 每增加 1SD,抑郁障碍的可能性降低 16%(OR=0.84;95%CI=0.71-0.98)。对二次结局分析(n=4789)发现,在 12 年的随访中有 261 例(5.45%)新诊断为临床抑郁症病例,WHO-HDI 与临床抑郁症风险降低 19%相关(HR=0.81;95%CI=0.70-0.93)。调整 BMI 后并未削弱研究结果。

结论

在这项基于人群的队列研究中,发现饮食质量与抑郁发生率之间存在显著的负相关,这与社会人口统计学、健康和生活方式无关。遵循健康饮食可能是预防抑郁的一种补充干预措施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ee7/11519306/08b6d8a69d75/394_2024_3466_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ee7/11519306/a956290ad4aa/394_2024_3466_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ee7/11519306/91572b3d0f2c/394_2024_3466_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ee7/11519306/c258adce2f35/394_2024_3466_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ee7/11519306/08b6d8a69d75/394_2024_3466_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ee7/11519306/a956290ad4aa/394_2024_3466_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ee7/11519306/91572b3d0f2c/394_2024_3466_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ee7/11519306/c258adce2f35/394_2024_3466_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ee7/11519306/08b6d8a69d75/394_2024_3466_Fig4_HTML.jpg

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