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Plant-based Diets and Healthy Aging - the Tzu Chi Aging Study (TCAS)
This prospective study investigates the health effects of vegetarian and plant-based diets in middle-aged and older adults in Taiwan, specifically, recruiting 5000 Tzu Chi volunteers. Previous Tzu Chi cohorts found vegetarian diets were protectively associated with incidences of diabetes, stroke, gout, cataracts, insomnia, and gallstones, while reducing healthcare costs. The study also aims to clarify dietary patterns-particularly plant-based and vegetarian diets-and determine how potential deficiencies or excesses of various nutrients influence common aging-related health issues, including healthy cognitive decline, sarcopenia, and the risk of age-related diseases, in order to inform dietary and lifestyle recommendations that promote healthy aging and maintain physical function.
This study establishes a new cohort to investigate the role of vegetarian and plant-based diets in healthy aging, integrating functional, nutritional, and genetic data. The primary objective is to clarify how dietary patterns and nutrient intake influence aging-related health conditions, including sarcopenia, cognitive function, physical function, and psychological well-being, and investigate how the associations between diet and these health conditions may be modified by genetic risk factors. Participants are Tzu Chi volunteers aged 40 years and older who undergo comprehensive health evaluations at Dalin Tzu Chi Hospital every three years. This population consists of a uniquely high proportion of vegetarians, non-smoking non-alcohol drinking individuals, and older adults who are active in communities and social engagement and community services; providing a unique opportunity to examine the role of plant-based diets and community services on aging related conditions without confounding by smoking and alcohol. Diet data are collected through a previously validated food frequency questionnaire, a short newly developed questionnaire - Taiwan Diet Quality Calculator - that will be validated within a subcohort of the current study, and food diaries for participants who are willing to provide such details. Nutritional biomarkers (e.g., serum vitamin B12, vitamin D, skin carotenoids), along with routine health examination values (complete blood counts, lipid profiles, renal and liver functions, bone mineral density) will also be collected. When funding permits, genome-wide genotyping, metabolomics, and other aging-related biomarkers will also be examined. For cohort follow-up, study participants will be invited back for follow-up health examination every three years. In addition, data will also be linked to National Health Insurance Claim database, National Cancer registry, and National Mortality Registry in Taiwan to further ascertain relevant health outcomes. By integrating comprehensive dietary assessments, nutritional biomarkers, health examination and genetic data, and aging-related functional outcomes, this cohort will provide an unique opportunity to examine dietary patterns, nutrient requirements, and lifestyle that best support healthy aging. The inclusion of genomic and metabolomic analyses will further enable the investigation of diet-gene interactions, supporting the development of precision nutrition strategies for individuals at elevated genetic risk. This research is expected to inform strategies for disease prevention and the maintenance of functional independence in older adults.
Age
40 - No limit years
Sex
ALL
Healthy Volunteers
Yes
Dalin Tzu Chi Hospital.
Dalin, Chiayi, Taiwan
Start Date
September 1, 2025
Primary Completion Date
December 31, 2028
Completion Date
December 31, 2028
Last Updated
September 3, 2025
5,000
ESTIMATED participants
Lead Sponsor
National Health Research Institutes, Taiwan
NCT05884138
NCT07469761
Data Source & Attribution
This clinical trial information is sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.
Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.
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