Feasibility of Estimating the Prevalence of Malnutrition, Frailty and Sarcopenia in Older People in UK Biobank, Cross-sectional Study: A Study Protocol
Study Details
Study Description
Brief 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.
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Detailed Description
The UK Biobank is a population-based study of a large prospective longitudinal cohort with information on 500,000 people, who were aged 40-69 when recruited in 2006-2010 from England, Scotland and Wales. The database includes demographic data, online questionnaires, X-rays and scan image of (brain, heart, abdomen, bones and carotid artery), as well as urine and saliva samples and blood biochemistry including: hormones and blood lipid. The online questionnaires (about: diet, cognitive function, work history and digestive health). It aims to improve the following: prevention, diagnosis and treatment for a broad number of diseases including cancer, heart diseases, stroke, diabetes, arthritis, osteoporosis, eye disorders, depression and forms of dementia. This detailed information on participants provide a resource for investigators to conduct research related a particular diseases.
There are four phases of assessment in UK Biobank. The first phase was the UK Biobank Pilot assessment that included 3798 participants from Stockport only in 2006. Then, the second phase was the initial assessment visit that started in 2007 until 2010. This was the baseline assessment and included approximately 500000 participants. After that, the third phase was conducted and called the first repeat assessment visit which took place between 2012-2013 and included 20346 participants. Lastly, the imaging visit which is considered the fourth phase started in 2014 until present.
Study Design
Outcome Measures
Primary Outcome Measures
- Determine the feasibility of obtaining variables to be able to determine malnutrition, frailty and sarcopenia in the UK Biobank. [cross sectional, 2007]
Determine if the variables in the UK biobank would be able to use different models to investigating malnutrition by mapping GLIM criteria, frailty by mapping it with two models 36 deficits and phenotype model. while sarcopenia will be matched with EWGSOP standard.
- Measuring the prevalence of the three conditions by applying the models in UK Biobank. [cross sectional, 2007]
Measuring the estimate prevalence of malnutrition, frailty and sarcopenia in older people using UK Biobank database.
Secondary Outcome Measures
- Determine the overlap between three conditions in the baseline assessment [cross sectional, 2007]
Frailty overlaps with sarcopenia and malnutrition due to similarities of outcome related to body weight. In addition, frailty and sarcopenia have recently had set definitions and diagnostic criteria
- Compare prevalence results between different models [cross sectional, 2007]
Estimating the frailty prevalence using two different measurement techniques the phenotype model with cumulative deficits model. In order to draw conclusion by comparing the results from each model.
Eligibility Criteria
Criteria
Inclusion Criteria:
The inclusion criteria will be both genders, age more than or equal to 50 years old, who completed the touchscreen questionnaire, 24-hour recall and physical measurements to enable the identification of malnutrition, frailty and sarcopenia.
Exclusion Criteria:
Any participant who is under 50 or with incomplete information will be excluded.
Contacts and Locations
Locations
| Site | City | State | Country | Postal Code | |
|---|---|---|---|---|---|
| 1 | Nada Almohaisen | Manchester | United Kingdom | M1 5GB |
Sponsors and Collaborators
- University of Manchester
Investigators
- Study Director: Sorrel Burden, University of Manchester
Study Documents (Full-Text)
None provided.More Information
Additional Information:
- UK biobank, which is the database will be use in this study
- Hereditary Hemochromatosis Associations with Frailty, SarcopThis is the title of a study used UK Biobank for two conditions frailty and sarcopenia. We are aiming to have similar method in measuring the conditions
- This study used UK Biobank in measuring the frailty condition for different age groups. We aimed using similar method in measuring frailty
- This study point out the overlap and evidence gaps in the diagnosis and treatment of frailty and malnutrition.
- This is evidence that shows differences between two models in measuring frailty. As this study has one object in comparing the results from both models.
- In this study we used the definition of sarcopenia and criteria of diagnosed in measuring the prevalence.
- This study we used their definition of malnutrition and criteria of diagnosed.
Publications
None provided.- Manchester1