Evidence map›Paper›PMID 39418751›Full record

ArticleThe journal of nutrition, health & aging2024

Associations of three healthy dietary patterns with homeostatic dysregulation: results from the China Multi-Ethnic Cohort study.

Hongmei Zhang, Quzong Deji, Ning Zhang, Yi Xiang, Yuan Zhang, Jiajie Cai, Tingting Yang, Jianzhong Yin, Yonglan Wei, Xianbin Ding and 2 more

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Article in The journal of nutrition, health & aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Hongmei ZhangWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Quzong DejiSchool of Medicine, Tibet University, Tibet, China.
Ning ZhangWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Yi XiangWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Yuan ZhangWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Jiajie CaiWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Tingting YangSchool of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China.
Jianzhong YinSchool of Public Health, Kunming Medical University, Kunming, China.
Yonglan WeiChengdu Center for Disease Control and Prevention, Chengdu, China.
Xianbin DingChongqing Municipal Center for Disease Control and Prevention, Chongqing, China.
Xiong XiaoWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China. Electronic address: xiaoxiong.scu@scu.edu.cn.
Xing ZhaoWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHomeostatic dysregulation (HD), the measure of aging-related physiological dysregulation, serves as an essential intervenable indicator of aging.

objectiveTo explore the associations of three healthy dietary patterns with HD, investigate the most recommended dietary patterns, and identify the significant beneficial and harmful food groups

methodsThis prospective cohort study included 8,288 participants aged 30-79 years from the China Multi-Ethnic Cohort (CMEC), with a female majority (61.6%). Dietary information was obtained through the baseline food frequency questionnaire (FFQ). Three dietary patterns were constructed: Dietary Approaches to Stop Hypertension (DASH), alternative Mediterranean diets (aMED), and Healthy Diet Score (HDS). HD was constructed based on clinical biomarkers and anthropometric measurements. Follow-up analyses adjusted for baseline data were employed to assess the longitudinal associations of three dietary patterns at baseline with HD at follow-up. Additionally, quantile G-computation was utilized to evaluate the relative contribution of each food group to the association with HD.

resultsOver a follow-up period of 2.0 years, all healthy dietary patterns exhibited negative associations with HD, with β

conclusionHealthy dietary patterns, especially HDS, are negatively associated with HD. Additionally, soybean products and alcohol are the most significant beneficial and detrimental food groups respectively. Developing appropriate nutritional strategies may help reduce the burden of disease and promote healthy aging.

Indexed as

Diet, HealthyDiet, MediterraneanHomeostasisAdultAgedAgingChinaCohort StudiesDietary Approaches To Stop HypertensionEthnicityFemaleHumansMaleMiddle AgedProspective StudiesDietHomeostatic dysregulationLongitudinal analysis

Identifiers

PMID39418751
PMCPMC12877226

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.