Sarcopenia
Conditions
Brief summary
Based on the analysis of dietary characteristics, gut microbiota diversity, and composition, this study investigates the relationships between the dietary inflammatory potential, gut microbiota, and sarcopenia. Furthermore, it explores the mediating role of gut microbiota in the association between the dietary inflammatory index and the risk of sarcopenia. The findings are expected to provide insights into the mechanisms through which dietary inflammation influences the development and progression of sarcopenia, and to offer a basis for dietary and nutritional interventions aimed at preventing or managing this condition.
Interventions
OTHERNo Intervention: Observational Cohort
No Intervention
Sponsors
Jianhua Ma
Study design
Observational model
CASE_CONTROL
Time perspective
CROSS_SECTIONAL
Eligibility
Sex/Gender
ALL
Age
60 Years to No maximum
Healthy volunteers
Yes
Inclusion criteria
* Permanent residents of the community aged 60 years or older. * Continuous residence duration in the community for more than 5 years.
Exclusion criteria
* Taking medications known to affect muscle function (e.g., corticosteroids, protein supplements, muscle enhancers). * Requiring walking assistance or having severe cognitive impairment that would preclude successful completion of assessments including bioelectrical impedance analysis (BIA), gait speed measurement, and handgrip strength testing. * Presence of a cardiac pacemaker, which contraindicates BIA measurement. * Diagnosis of one or more chronic diseases that significantly limit dietary intake.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| The prevalence of sarcopenia | Through study completion, an average of 1 year | The diagnosis of sarcopenia is confirmed according to the AWGS 2019 criteria, which requires the assessment of muscle strength, physical performance, and muscle mass. |
| Change in absolute abundance of Faecalibacterium prausnitzii | Through study completion, an average of 1 year | 16S rRNA absolute quantification was used to detect the microbial composition of the fecal samples. |
| Dietary Characteristics | Through study completion, an average of 1 year | Dietary data were collected using a food frequency questionnaire (FFQ) to analyze dietary patterns and nutrient intake. |
Countries
China
Contacts
Primary ContactJianhua Ma Doctor of Medicine
Outcome results
None listed