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Feasibility of Estimating the Prevalence of Malnutrition, Frailty and Sarcopenia in Older People in UK Biobank, Cross-sectional Study: A Study Protocol

NCT04655456 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 381000

Last updated 2021-04-30

No results posted yet for this study

Summary

Background: measuring the prevalence of malnutrition, frailty and sarcopenia in same group of older adults is effective in understanding the relation between these conditions. This could support diagnosing, treatment and prevention in future practice. The research is aiming to measure the estimate prevalence of malnutrition, frailty, sarcopenia and their overlap in older adults, using the UK Biobank. In addition, it will aim to compare the two models of frailty the phenotype and deficit accumulation using the UK Biobank database, as data comparing these models is limited.

Methods/design: This is a cross-sectional study design that will use the UK Biobank database, which includes 381,000 participants males and females, aged 50 years and above, who completed the UK Biobank baseline assessments were included that is a subset from the main sample size from the UK Biobank. For baseline, details of participant's characteristics will be included. All three conditions will be identified as malnutrition by using GLIM criteria, while frailty by using two models; the first model will be the 36 deficits model and phenotype model. Finally, sarcopenia condition will be judge according to EWGSOP standard. All these models will be determining the feasibility to apply it using the available database in the UK Biobank.

Discussion: This proposed study will help in understanding the relation between malnutrition, frailty and sarcopenia. As in worldwide, there is little published research on the overlap between malnutrition, frailty and sarcopenia. Despite definitions and diagnostic criteria were developed for these conditions. There is conflict extend to the definitions and identification criteria's. This study will use UK Biobank database to measuring the estimate prevalence in older people and determine the overlap between three conditions.

Conditions

Sponsors & Collaborators

  • University of Manchester

    lead OTHER

Principal Investigators

  • Sorrel Burden · University of Manchester

Eligibility

Min Age
50 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2007-04-01
Primary Completion
2020-11-20
Completion
2020-11-20

Countries

  • United Kingdom

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04655456 on ClinicalTrials.gov