ArticleJournal of family medicine and primary care2024
Body composition parameters as predictors of low back pain in rural homemakers of North India.
Article in Journal of family medicine and primary care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed, 1 citations in OpenAlex.
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Homemakers are the backbones of families, but in rural India, females suffer from many musculoskeletal problems due to excessive workload in their houses. The objective of the present study is to compare body composition parameters as predictors of low back pain (LBP) in nonworking rural homemakers of North India. Materials and Methods: The study was conducted among 296 homemakers from rural areas of Lucknow district in Uttar Pradesh. Details of LBP and body composition parameters (body mass index, body fat, visceral fat) were taken. Results: The prevalence of LBP among homemakers was found to be 15.54%. BMI was found to be a better predictor of LBP than body fat and visceral fat. The risk of LBP is 7.24 times higher in BMI ≥23 than in women with BMI <23. The risk of LBP is 3.67 times more in visceral fat % ≥10% than in women with visceral fat % <10%. Conclusion: Age, type of family, socioeconomic status income was identified as risk factors in this population. Maintaining an adequate BMI is essential for the prevention of LBP.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.