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Low physical activity is the strongest factor associated with frailty phenotype and frailty index: data from baseline phase of Birjand Longitudinal Aging Study (BLAS)

Overview of attention for article published in BMC Geriatrics, June 2022
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

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Title
Low physical activity is the strongest factor associated with frailty phenotype and frailty index: data from baseline phase of Birjand Longitudinal Aging Study (BLAS)
Published in
BMC Geriatrics, June 2022
DOI 10.1186/s12877-022-03135-y
Pubmed ID
Authors

Ameneh Sobhani, Farshad Sharifi, Reza Fadayevatan, Ahmad Ali Akbari Kamrani, Mitra Moodi, Masoumeh Khorashadizadeh, Toba Kazemi, Huriye Khodabakhshi, Hossein Fakhrzadeh, Masoud Arzaghi, Seyedeh Zahra Badrkhahan, Raziye Sadat Hosseini, Hadi Monji, Amirabbas Nikkhah

Abstract

Frailty is the most complicated expression of aging that is related to disability or multi-morbidity. The aim of the present study was to estimate the prevalence of frailty and its associated factors among community-dwelling aged population. A total of 1529 eligible community- dwelling older adults (≥ 60 years) were enrolled in the baseline phase of Birjand Longitudinal Aging Study (BLAS) from 2019 to 2020. Their frailty status was assessed using the Fried's frailty phenotype and frailty index. Sociodemographic factors, including sex, age, marital status, and education level, were collected. Health status assessment included the history of hypertension, diabetes mellitus, cardiovascular disease, Alzheimer's diseases and dementia, and other health conditions. Furthermore, functional assessment (ADL, IADL) and anthropometric measurements including height, weight, waist, calf, and mid-arm circumference were made and the body mass index was calculated. The nutrition status and polypharmacy (use 3 or more medication) were also evaluated. The prevalence of frailty was 21.69% according to the frailty phenotype and 23.97% according to the frailty index. A multiple logistic regression model showed a strong association between low physical activity and frailty phenotype (OR = 36.31, CI = 16.99-77.56, P < 0.01), and frailty index (OR = 15.46, CI = 5.65-42.34, P < 0.01). Other factors like old age (≥80), female sex, malnutrition, polypharmacy, obesity, and arthritis were also associated with frailty. The Kappa coefficient of the agreement between these two instruments was 0.18. It seems that low physical activity is the most important determinant of frailty. Low physical activity and some other factors may be preventable or modifiable and thus serve as clinically relevant targets for intervention.

X Demographics

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The data shown below were collected from the profiles of 21 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 10%
Other 3 6%
Student > Postgraduate 3 6%
Lecturer 2 4%
Professor 2 4%
Other 7 15%
Unknown 26 54%
Readers by discipline Count As %
Medicine and Dentistry 7 15%
Nursing and Health Professions 5 10%
Sports and Recreations 3 6%
Biochemistry, Genetics and Molecular Biology 2 4%
Business, Management and Accounting 1 2%
Other 3 6%
Unknown 27 56%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 June 2022.
All research outputs
#2,787,654
of 25,149,126 outputs
Outputs from BMC Geriatrics
#736
of 3,574 outputs
Outputs of similar age
#59,606
of 437,643 outputs
Outputs of similar age from BMC Geriatrics
#27
of 155 outputs
Altmetric has tracked 25,149,126 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,574 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has done well, scoring higher than 79% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 437,643 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 155 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.