Evidence map›Paper›PMID 37083655›Full record

ArticlePloS one2023

Prevalence and predictors of musculoskeletal health complaints among sedentary, monotonous urban workers: A survey in Bangladesh.

Mohammad Ali, Md Abu Bakar Siddiq, Nujaim Khan Pranto, Naheean Hossain Amran, Marium Akter, Marjan Akter Munny, Md Imran Hossain, Saffat Sabbir Khan, Md Murad Hossain Mehedi

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Trial
  2. Article
  3. Global, regional, and national burden of disease in neck pain: statistical analysis of incidence, prevalence, and DALYS, with projections to 2036.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
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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

9 authors at 3 institutions in 1 country.

Mohammad AliDepartment of Physiotherapy and Rehabilitation, Uttara Adhunik Medical College and Hospital, Uttara Model Town, Dhaka, Bangladesh.ORCID 0000-0002-4685-5050
Md Abu Bakar SiddiqDepartment of Physiotherapy, National Institute of Traumatology and Orthopaedic Rehabilitation (NITOR), Sher-E-Bangla Nagar, Dhaka, Bangladesh.
Nujaim Khan PrantoDepartment of Physiotherapy, National Institute of Traumatology and Orthopaedic Rehabilitation (NITOR), Sher-E-Bangla Nagar, Dhaka, Bangladesh.
Naheean Hossain AmranDepartment of Physiotherapy, National Institute of Traumatology and Orthopaedic Rehabilitation (NITOR), Sher-E-Bangla Nagar, Dhaka, Bangladesh.
Marium AkterCare for Stroke & Geriatric Disabilities, Mohammadpur, Dhaka, Bangladesh.
Marjan Akter MunnyBangladesh Institute of Health Sciences (BIHS), Darussalam, Dhaka, Bangladesh.
Md Imran HossainDepartment of Physiotherapy, National Institute of Traumatology and Orthopaedic Rehabilitation (NITOR), Sher-E-Bangla Nagar, Dhaka, Bangladesh.
Saffat Sabbir KhanOffice of the Upazilla Health and Family Planning Officer, Gazipur Sadar, Gazipur, Bangladesh.
Md Murad Hossain MehediMayfair Wellness Clinic, Dhaka, Bangladesh.
National Institute of Traumatology & Orthopaedic Rehabilitation · BDBangladesh University of Health Sciences · BDUttara University · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMonotonous and sedentary work is significantly associated with the worst health of workers. There is a scarcity of data investigating the musculoskeletal health of sedentary workers working in low-income and middle-income settings. This study aimed to measure the prevalence and predictors of musculoskeletal health complaints (MHC) among Bangladeshi shopkeepers.

methodsThis cross-sectional study was conducted in Dhaka, Bangladesh. Data from 1553 Bangladeshi shopkeepers aged 18 years and above were analyzed. MHC was measured using the musculoskeletal subscale of the subjective health complaints scale. The descriptive analysis helped to compute MHC prevalence and compare the prevalence across groups. Regression analysis revealed the predictors of MHC for the shopkeepers.

resultsThe prevalence of MHC among shopkeepers was 58.0%. The prevalence of low back pain was the highest (55.5%), followed by neck pain (48.0%) and upper back pain (43.5%). Regression analysis identified sex (aOR 1.301, CI 0.996 to 1.700), age (aOR 1.405, CI 1.047 to 1.886), body mass index (aOR 0.495, CI 0.397 to 0.617), and substance abuse (aOR 1.998, CI 1.136 to 3.514) as independent predictors of MHC among the shopkeepers. Furthermore, significantly higher odds of MHC have been found among tobacco users (OR 1.234, CI 1.009 to 1.510).

conclusionThis study revealed a high prevalence of MHC and unhealthy lifestyles among shopkeepers in Bangladesh. Shopkeepers should be provided with better health literacy to follow healthy lifestyles and prevent MHC among this cohort.

Indexed as

Back PainMusculoskeletal DiseasesBangladeshCross-Sectional StudiesHumansNeck PainPrevalenceRisk Factors

Identifiers

PMID37083655
PMCPMC10120926
OpenAlexW4366602587

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.