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Record W4396534250 · doi:10.7759/cureus.59343

Functional Disability Due to Chronic Low Back Pain in the Geriatric Population of a Tertiary Care Hospital in North India: A Cross-Sectional Study

2024· article· en· W4396534250 on OpenAlexaboutno aff
Harshanand Popalwar, Suman Badhal, Nitish Dhiman, Swapnil Sonune, K Chinchu

Bibliographic record

VenueCureus · 2024
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsCross-sectional studyTertiary careMedicineLow back painPopulation ageingChronic painPhysical therapyPopulationFamily medicineAlternative medicineEnvironmental health

Abstract

fetched live from OpenAlex

Background Chronic low back pain (CLBP) is one of the painful and disabling conditions affecting the young as well as the geriatric population. There is a limited body of research to find out the impact of CLBP and functional disability on geriatric adults in the Indian region. Aim This study aims to determine the prevalence of functional disability due to CLBP in the geriatric population and to investigate the correlation between functional disability due to CLBP and other sociodemographic factors. Methodology A total of 157 geriatric adults were enrolled in the study, fulfilling the inclusion and exclusion criteria. Basic sociodemographic data, along with a clinical-radiological examination, was recorded. The Numeric Pain Rating Scale (NPRS), the Roland and Morris Disability Questionnaire, and the Quebec Back Pain Disability Scale were used as study tools. Summary measures (frequency, mean, median, etc.) are calculated according to the level of measurement of variables. The point prevalence of functional disability due to CLBP in the geriatric population, along with 95% confidence intervals, has been calculated. The prevalence estimates were estimated and calculated with SD variables using a t-test, chi-square test, or Fisher's exact test under bivariate analysis. The linear/logistic regression analysis was used to control for the effects of covariates. A significance level of 5% was set for all analyses due to the exploratory nature of the study. Statistical significance was considered at p < 0.05. Results According to the Roland and Morris Disability Questionnaire, 29% (N = 46) of the study geriatric participants had a severe disability, 45% (N = 70) had a moderate disability, and 26% (N = 41) had a mild disability. According to the Quebec Back Pain Disability Scale, 34% (N = 53) had scored more than 50, and 66% (N = 104) had scored less than 50. Statistically significant correlations have been found between the level of functional disability and intensity of pain (NPRS score), gender, associated illness, current and past occupation, and clinical diagnosis of CLBP (p < 0.05). Conclusion The prevalence of functional disability due to CLBP is higher in the geriatric population. It is associated with many influencing sociodemographic factors like gender, occupation, associated musculoskeletal illness, the intensity of low back pain, and clinico-radiological diagnosis. Early identification and timely interventions to reduce functional disability due to CLBP and associated risk factors are the need of the hour. Regular back muscle exercises, ergonomic modifications, and modification of activities of daily life are recommended to prevent functional disability due to CLBP.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.284
Teacher spread0.275 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2024
Admission routes1
Has abstractyes

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