Zhou Wenhao, Zhang Huanting, He Jianan, Shen Jie
Key Laboratory of Micro-nano Sensing and IoT of Wenzhou, Wenzhou Institute of Hangzhou Dianzi University, Wenzhou, China; College of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou, China.
Key Laboratory of Micro-nano Sensing and IoT of Wenzhou, Wenzhou Institute of Hangzhou Dianzi University, Wenzhou, China; HDU-ITMO Joint Institute, Hangzhou Dianzi University, Hangzhou, China.
J Am Med Dir Assoc. 2025 Aug;26(8):105712. doi: 10.1016/j.jamda.2025.105712. Epub 2025 Jun 18.
Previous studies have analyzed associations between plant-based dietary patterns and depressive symptoms. However, little is known about the association of plant-based dietary patterns with the long-term trajectory of depressive symptoms in older Chinese adults.
Retrospective cohort study.
A total of 1666 individuals aged >65 years during the period from 2008 to 2018 were included, who had complete dietary data and complete evaluations of depressive symptoms in 4 waves.
Data from the Chinese Longitudinal Health and Longevity Survey (CLHLS) were used in this study. We used the simplified Food Frequency Questionnaire at baseline to assess the overall Plant-based Diet index and unhealthy Plant-based Diet Index. Depressive symptoms were assessed by participants' responses to 5 questions. We used a group-based trajectory model to determine the trajectory of depressive symptoms and used multiple logistic regression to analyze the association of plant-based dietary patterns with the long-term trajectory of depressive symptoms in older Chinese adults.
The study included 1666 older adults. We identified 3 trajectories of depressive symptoms. The results showed that participants with the highest quintile of Plant-based Diet index were less likely to be on a moderate depression trajectory [odds ratio (OR), 0.597; 95% CI, 0.358-0.994] or a highly progressive depression trajectory (OR, 0.344; 95% CI, 0.171-0.692) than those with the lowest quintile. In contrast, the odds of the highest unhealthy Plant-based Diet Index quintile being on a moderate depression trajectory (OR, 2.750; 95% CI, 1.555-4.863) or a highly progressive depression trajectory (OR, 6.168; 95% CI, 3.014-12.623) were increased.
Adherence to plant-based dietary patterns was associated with a lower likelihood of being on an unfavorable depressive trajectory, whereas an unhealthy plant-based diet was associated with an increased likelihood of being on an unfavorable depressive trajectory.
以往研究分析了植物性饮食模式与抑郁症状之间的关联。然而,关于植物性饮食模式与中国老年成年人抑郁症状的长期轨迹之间的关联,我们知之甚少。
回顾性队列研究。
纳入了2008年至2018年期间1666名年龄大于65岁的个体,他们有完整的饮食数据且在4个时间点对抑郁症状进行了完整评估。
本研究使用了中国健康与养老追踪调查(CLHLS)的数据。我们在基线时使用简化的食物频率问卷来评估总体植物性饮食指数和不健康植物性饮食指数。通过参与者对5个问题的回答来评估抑郁症状。我们使用基于群组的轨迹模型来确定抑郁症状的轨迹,并使用多元逻辑回归分析植物性饮食模式与中国老年成年人抑郁症状长期轨迹之间的关联。
该研究纳入了1666名老年人。我们确定了3种抑郁症状轨迹。结果显示,植物性饮食指数最高五分位数的参与者比最低五分位数的参与者处于中度抑郁轨迹的可能性更小[比值比(OR),0.597;95%置信区间(CI),0.358 - 0.994]或处于高度进展性抑郁轨迹的可能性更小(OR,