Evidence map›Paper›PMID 37064955›Full record

ArticleJournal of pain research2023

Residents of Mountainous Areas Have a Higher Low Back Pain Prevalence Than Flat Areas of Chongqing, China: A Cross-Sectional Study.

Xiaomin Ren, Dingqun Bai, Yuan Zhang, Haidan Lin, Shu Zhang, Danyang Li, Hui Wei, Shouwei Yue

Open access · goldAbstract read
In one paragraph

Article in Journal of pain research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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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

8 authors at 3 institutions in 1 country.

Xiaomin RenRehabilitation Center, Qilu Hospital of Shandong University, Jinan, People's Republic of China.
Dingqun BaiDepartment of Physical Medicine & Rehabilitation, the First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.
Yuan ZhangClinical Epidemiology Unit, Qilu Hospital of Shandong University, Jinan, People's Republic of China.
Haidan LinDepartment of Physical Medicine & Rehabilitation, the First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.
Shu ZhangDepartment of Physical Medicine & Rehabilitation, the First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.
Danyang LiRehabilitation Center, Qilu Hospital of Shandong University, Jinan, People's Republic of China.
Hui WeiRehabilitation Center, Qilu Hospital of Shandong University, Jinan, People's Republic of China.
Shouwei YueRehabilitation Center, Qilu Hospital of Shandong University, Jinan, People's Republic of China.
Qilu Hospital of Shandong University · CNThe Affiliated Yongchuan Hospital of Chongqing Medical University · CNChongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Purpose: Epidemiological studies on low back pain in residents living in mountainous areas are scarce. The study was aimed at investigating the prevalence and associated factors of low back pain in Chongqing, relatively impoverished mountainous areas of China. Materials and Methods: This was a cross-sectional study conducted at selected community or village health service centers in Chongqing over a 2-month period (May 2021 to June 2021), which included adults of Chongqing aged >18 years with or without low back pain (N=1820) chosen by stratified, cluster-sampling. Associated factors of low back pain including sociodemographic characteristics, lifestyle, and occupational features were collected, along with medical history, Oswestry Disability Questionnaire (ODI), and Numerical Rating Scale (NRS) of patients with low back pain, and carried out for at least 20 minutes per respondent. Univariate and multivariate logistic regression models were utilized for statistical analysis. Results: Overall, 30.5% of 1704 respondents presented with low back pain, with 26.3% living in flat areas and 35.6% in mountainous areas. The associated factors of low back pain were mountainous area residence (OR 1.4, 95% CI 1.1-1.8), advanced age (OR 1.8, 95% CI 1.3-2.5 for those aged 45-59 years, OR 2.3, 95% CI 1.6-3.4 for those aged 60-74 years, and OR 2.1, 95% CI 1.2-3.6 for those aged ≥75 years), married or remarried (OR 1.9, 95% CI 1.1-3.2), divorced or widowed (OR 2.7, 95% CI 14-5.4), moderate labor intensity (OR 1.4, 95% CI 1.1-1.8), frequent stoop (OR 1.6, 95% CI 1.1-2.4), and depressed mood (OR 1.6, 95% CI 1.2-2.1). Residents in the mountainous areas had a higher score on Oswestry Disability Questionnaire (8.3 [SD 6.3] vs 6.2 [SD 4.3]) than those in flat areas. Conclusion: Mountainous areas in Chongqing had higher prevalence of low back pain as 35.6%, compared with 26.3% in flat areas, with more severe dysfunction in low back pain patients. Multifactorial analysis found that the factors associated with low back pain in Chongqing residents included mountain residence, labor intensity, stoop, psychological factors and frequency of exercise.

Indexed as

associated factorsChinalow back painprevalence

Identifiers

PMID37064955
PMCPMC10095945
OpenAlexW4362697477

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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.