Correlation between Vegetable and Fruit Intake and Cognitive Function in Older Adults: A Cross-Sectional Study in Chongqing, China

被引:2
|
作者
Deng, Yingjiao [1 ,2 ,3 ,4 ]
Deng, Jiaxin [1 ,2 ,3 ,4 ]
Jiang, Ke [1 ,2 ,3 ,4 ]
Shi, Ya [1 ,2 ,3 ,4 ]
Feng, Ziling [5 ]
Wu, Rongxin [1 ,2 ,3 ,4 ]
Zhou, Ailin [1 ,2 ,3 ,4 ]
Shi, Zumin [6 ]
Zhao, Yong [1 ,2 ,3 ,4 ,7 ]
机构
[1] Chongqing Med Univ, Sch Publ Hlth, Chongqing 400016, Peoples R China
[2] Chongqing Med Univ, Res Ctr Med & Social Dev, Chongqing 400016, Peoples R China
[3] Chongqing Med Univ, Res Ctr Publ Hlth Secur, Chongqing 400016, Peoples R China
[4] Chongqing Med Univ, Sch Publ Hlth, Nutr Innovat Platform Sichuan & Chongqing, Chongqing 400016, Peoples R China
[5] Cent South Univ, Xiang Ya Sch Publ Hlth, Dept Epidemiol & Hlth Stat, Changsha 410013, Peoples R China
[6] Qatar Univ, Coll Hlth Sci, Human Nutr Dept, Doha 2713, Qatar
[7] Chongqing Med Univ, Childrens Hosp, Chongqing Key Lab Child Nutr & Hlth, Chongqing 400014, Peoples R China
关键词
food groups; older adults; cognitive function; MCI; Chongqing; ELDERLY POPULATION; IMPAIRMENT; RISK; ASSOCIATION; PERFORMANCE; DECLINE;
D O I
10.3390/nu16183193
中图分类号
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号
100403 ;
摘要
Objective: To explore the correlation between different types of vegetable and fruit intake and cognitive function among the older adults in Chongqing, China, and to provide a scientific basis for developing efficient lifestyle interventions for the prevention of Mild Cognitive Impairment (MCI). Method: Approximately 728 older adults in urban and rural areas of Chongqing were surveyed using face-to-face questionnaires. Cognitive function was assessed with the Montreal Cognitive Assessment-Basic (MoCA-B) scale, and the vegetable and fruit intake groups were investigated with the Simple Food Frequency Counting Survey Scale. Binary logistic regression was used to explore the effect of the vegetable and fruit intake group on cognitive function. Subgroup analysis was used to demonstrate the robustness of the results. Result: Of the 728 participants in the study, 36.40% were likely to have MCI, which is higher than the national average for this condition. After adjusting for confounders, compared to the Q1 group, fruit and root vegetable intake was a protective factor for MCI, showing a dose-response relationship (p < 0.05). Only lower intake (Q2) of total vegetables, medium intake (Q2, Q3) of solanaceous vegetables, and medium-high intake (Q2, Q4) of fungi and algae was protective against MCI, whereas the leafy vegetables showed no relation to MCI. Apart from this, participants who were older, female, unmarried, non-smoking, and engaged in physical labor, and who had an average monthly income of less than 3000 RMB were more likely to suffer from cognitive impairment. Conclusion: This suggested that the fruit-intake groups and some vegetable-intake groups showed a protective effect on cognitive function, and might behave differently depending on their different intake and demographic characteristics. A sensible, healthy diet can help prevent MCI.
引用
收藏
页数:16
相关论文
共 50 条
  • [21] Association Between Dependency and Cognitive Function Among Older Adults: A Combined Cross-Sectional and Longitudinal Study
    Li, Ying
    Aierken, Ayizuhere
    Ding, Xiwen
    Pan, Yiyang
    Chen, Yuan
    AGEING INTERNATIONAL, 2024, 49 (02) : 434 - 449
  • [22] The relationship between dietary complexity and cognitive function in Guangxi, China: A cross-sectional study
    Gou, Ruoyu
    Li, You
    Cai, Jiansheng
    Liu, Qiumei
    Pang, Weiyi
    Luo, Tingyu
    Xu, Min
    Xiao, Song
    He, Kailian
    Li, Tingjun
    Li, Ruiying
    Xiao, Jie
    Lin, Yinxia
    Lu, Yufu
    Qin, Jian
    Zhang, Zhiyong
    ASIA PACIFIC JOURNAL OF CLINICAL NUTRITION, 2023, 32 (01) : 133 - 148
  • [23] Higher dietary butyrate intake is associated with better cognitive function in older adults: evidence from a cross-sectional study
    Tu, Jiayu
    Zhang, Jun
    Chen, Gang
    FRONTIERS IN AGING NEUROSCIENCE, 2025, 17
  • [24] Education modifies the relationship between height and cognitive function in a cross-sectional population-based study of older adults in Rural South Africa
    Kobayashi, Lindsay C.
    Berkman, Lisa F.
    Wagner, Ryan G.
    Kahn, Kathleen
    Tollman, Stephen
    Subramanian, S. V.
    EUROPEAN JOURNAL OF EPIDEMIOLOGY, 2019, 34 (02) : 131 - 139
  • [25] The association between dietary dark green vegetable intake and cognitive function in US older adults
    Liu, Yuqian
    Liu, Wen
    Yang, Yang
    Liu, Heyin
    Liu, Jinde
    Liu, Yiming
    NUTRITION BULLETIN, 2025, 50 (01) : 69 - 81
  • [26] Correlation between blood pressure control status and cognitive impairment in older adults: A national cross-sectional study
    Yao, Junxiu
    Wang, Shengshu
    Li, Meiling
    Song, Baomei
    Lan, Cong
    Jia, Jianjun
    Yang, Yongjian
    PLOS ONE, 2025, 20 (02):
  • [27] Comprehensive assessment of fine motor movement and cognitive function among older adults in China: a cross-sectional study
    Zhang, Jie
    Zhao, Ye-Jing
    Wang, Jun-Yi
    Cui, Han
    Li, Shaojie
    Meng, Xue
    Cai, Rui-Yu
    Xie, Juan
    Sun, Su-Ya
    Yao, Yao
    Li, Jing
    BMC GERIATRICS, 2024, 24 (01)
  • [28] Daytime napping and successful aging among older adults in China: a cross-sectional study
    Xin, Chunyu
    Zhang, Baiyang
    Fang, Shu
    Zhou, Junmin
    BMC GERIATRICS, 2020, 20 (01)
  • [29] Association between blood pressure and dementia in older adults: a cross-sectional study from China
    Yi, Tingting
    Su, Zhou
    Wang, Jiyang
    Gan, Jinghuan
    Wu, Hao
    Shi, Zhihong
    Sun, Zhen
    Liu, Shuai
    Ji, Yong
    FRONTIERS IN AGING NEUROSCIENCE, 2024, 16
  • [30] Associations between multiple metals exposure and cognitive function in the middle-aged and older adults from China: A cross-sectional study
    Hong, Shiru
    Wu, Sheng
    Wan, Zhengce
    Wang, Chenming
    Guan, Xin
    Fu, Ming
    Liu, Chenliang
    Wu, Tianhao
    Zhong, Guorong
    Zhou, Yuhan
    Xiao, Yang
    You, Yingqian
    Chen, Shengli
    Wang, Yuxi
    Zhao, Hui
    Zhang, Yichi
    Lin, Jie
    Bai, Yansen
    Guo, Huan
    ENVIRONMENTAL RESEARCH, 2024, 263