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Clinical Trials/NCT04140864
NCT04140864CompletedNot Applicable

Prevalence of Sarcopenic Obesity Among Community Dwelling Elderly: A Pilot Study

Universiti Tunku Abdul Rahman1 site in 1 country65 target enrollmentStarted: December 3, 2018Last updated:
Conditions

Trial Snapshot

Phase
Not Applicable
Status
Completed
Enrollment
65
Locations
1
Primary Endpoint
Muscle Mass

Study Overview

Brief Summary

Sarcopenic obesity (SO) is a geriatric syndrome, characterized by reduced muscle mass and function, and increase in body fat. It is classified as a new category of obesity in elderly. It found to be associated with higher risk of physical disability, hospitalization, metabolic syndrome, cardiovascular disorders and mortality. According to the United Nations Economic and Social Commission for Asia and The Pacific's (UNESCAP) 2016 population data, Malaysians aged sixty and above contribute to 9.5% of the population. The aging individuals are estimated to reach 23.5% of the population by 2050. In the matter of human health, SO increases the risk of falls and fracture, deteriorates the performance of activities of daily living, enhances the risk of getting multiple health-related outcomes and results in physical disability. Eventually, the quality of life is adversely affected. In financial terms, SO cause significant burden to health care systems. Both hospitalization and cost of care during hospitalization are increased. Therefore, study of SO has experienced a revitalized research interest due to its negative impact on public health. In addition, there is significant lack of literature related to prevalence of SO in community-dwelling elderly in Malaysia, hence, a need to investigate this phenomenon.

Detailed Description

Pilot study design was employed to determine the prevalence of sarcopenic obesity among community-dwelling elderly living in Kajang, Selangor. The sampling method used for recruitment of subjects was non-probability, convenient sampling. Sample size was calculated based on the work carrrid by Viechtbauer in 2015.

n=(In (1-y))/(In (1-π) ) where n = sample size π = problem probability y = level of confidence

The population of Kajang is approximately 428,131. The elderly population made up of about 9.5% of the total population in Malaysia based on the UNESCAP's 2016 population data. With confidence interval of 95% and margin of error 5%, The targeted sample size for this research study was set to be 59. Investigators recruited 65 subjects.

Measurements of the four diagnostic criteria for sarcopenic obesity were:

  1. Muscle mass (skeletal muscle index - SMI) 2. Body Fat (percent body fat). Bioelectrical Impedance Analysis (BIA) device was used to measure muscle mass and percent body fat 3. Muscle strength (handgrip strength), and 4. Physical performance (usual gait speed).

Study Design

Study Type
Observational
Observational Model
Case Only
Time Perspective
Cross Sectional

Eligibility Criteria

Ages
60 Years to — (Adult, Older Adult)
Sex
All
Accepts Healthy Volunteers
Yes

Inclusion Criteria

  • Aged 60 and above
  • Either gender
  • Able to ambulate independently with or without walking aids

Exclusion Criteria

  • Individuals who are wheelchair bound.
  • Individuals with metal implant (eg. Artificial pacemaker, joint arthroplasty)
  • Individuals with skin lesions that restrict the use of BIA
  • Individuals with amputation of limbs
  • Individuals with hearing impairment and not using hearing aid
  • Individuals with visual impairment and not using spectacles
  • Individuals with fear of fall

Outcomes

Primary Outcomes

Muscle Mass

Time Frame: Through Study completion, an average of 6 months.

Gait speed

Time Frame: Through Study completion, an average of 6 months.

Body fat percent

Time Frame: Through Study completion, an average of 6 months.

Hand-grip strength

Time Frame: Through Study completion, an average of 6 months.

Secondary Outcomes

No secondary outcomes reported

Investigators

Sponsor Class
Other
Responsible Party
Principal Investigator
Principal Investigator

Imtiyaz Ali Mir

Principal Investigator

Universiti Tunku Abdul Rahman

Study Sites (1)

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