Evidence map›Paper›PMID 36119235›Full record

ArticleJournal of family medicine and primary care2022

Body mass index among elderly population and its association with neurological and musculoskeletal diseases in Aseer, Saudi Arabia.

Yara Mofarih Ahmed Assiri, Roqayya Mohammed Ahmed Alhayyani, Afnan Muslah Mushabab Alshahrany, Lujain Mohammed Abdullah Bin Othman, Nouf Abdulrahman Alqahtani

Open access · goldAbstract read
In one paragraph

Article in Journal of family medicine and primary care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 88% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yara Mofarih Ahmed AssiriFamily Medicine Resident (PGY3), Joint Program of Family, Abha, Saudi Arabia.
Roqayya Mohammed Ahmed AlhayyaniFamily Medicine Resident (PGY4), Joint Program of Family, Abha, Saudi Arabia.
Afnan Muslah Mushabab AlshahranyFamily Medicine Resident (PGY3), Joint Program of Family, Abha, Saudi Arabia.
Lujain Mohammed Abdullah Bin OthmanFamily Medicine Resident (PGY3), Joint Program of Family, Abha, Saudi Arabia.
Nouf Abdulrahman AlqahtaniFamily Medicine Resident (PGY3), Joint Program of Family, Abha, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: An increase in BMI in the elderly may reduce life expectancy and increase the risk of death, cardiovascular disease, and metabolic syndrome. Frailty index, body weight, and pain levels all seem to be linked. Excessively low or high body weight may cause muscle weakness and decrease physical activity, placing the elderly at risk for frailty. Methodology: This was a cross-sectional study to investigate BMI among the elderly and neurological and musculoskeletal diseases in the Aseer region, Saudi Arabia conducted during the period from 5 January, 2020 to 26 February, 2020. The data were collected using a self-administered pre-designed questionnaire, and 503 full forms of eligible subjects were included. Results: A total of 503 participants were included in this study, 61.2% of them were female, with a mean age of 67 ± 9. The mean BMI was 31.1 ± 7.5. Parkinsonism and hemiplegia were significantly associated with BMI ( Conclusion: We found a significant association between Parkinsonism and hemiplegia and BMI as these conditions were more common among overweight patients. Moreover, osteoporosis was also significantly associated with BMI, and most of the patients with osteoporosis were underweight.

Indexed as

BMIdeathriskunderweight

Identifiers

PMID36119235
PMCPMC9480713
OpenAlexW4285241004

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.