Evidence map›Paper›PMID 39402466›Full record

ArticleBMC public health2024

Correlation analysis of exercise volume and musculoskeletal disorders in people with income level differences: research based on the 2011-2018 NHANES dataset.

Xiangjun Pan, Shibo Liu, Bo Chen, Zehao Yu, Wang Hao, Xiongfeng Tang, Yanguo Qin

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Xiangjun PanThe Orthopaedic Medical Center, Second Hospital of Jilin University, Changchun, Jilin Province, China.
Shibo LiuThe Orthopaedic Medical Center, Second Hospital of Jilin University, Changchun, Jilin Province, China.
Bo ChenThe Orthopaedic Medical Center, Second Hospital of Jilin University, Changchun, Jilin Province, China.
Zehao YuThe Orthopaedic Medical Center, Second Hospital of Jilin University, Changchun, Jilin Province, China.
Wang HaoThe Orthopaedic Medical Center, Second Hospital of Jilin University, Changchun, Jilin Province, China.
Xiongfeng TangThe Orthopaedic Medical Center, Second Hospital of Jilin University, Changchun, Jilin Province, China. tangxf921@gmail.com.
Yanguo QinThe Orthopaedic Medical Center, Second Hospital of Jilin University, Changchun, Jilin Province, China. qinyg@jlu.edu.cn.

Funding

Jilin Provincial Scientific and Technological Development Program 20230204075YYJilin Provincial Scientific and Technological Development Program 20240305034YYthe Graduate Innovation Program of Jilin University 2024CX280the Hunan Social Science Fund 23YBA093the Key Project of the National Natural Science Foundation of China U21A20390
6 · The paper itself

Abstract

objectivesSocioeconomic factors significantly impact human health; however, the impact of exercise and income on musculoskeletal system health remains unclear. Our study aims to explore the relationship between exercise and income with musculoskeletal system health in young and middle-aged adults.

designThis cross-sectional study used data from 7,515 adults aged 20-59 years, which were obtained from the US NHANES, 2011-2018. Participants' musculoskeletal system health was evaluated on the basis of them having osteopenia, osteoporosis, or sarcopenia.

methodsOrdinal regression was used to explore the correlation between income level, exercise volume, and musculoskeletal system health. Mediating effect analysis was used to assess whether the exercise volume affected the impact of income levels on musculoskeletal system health. Ordinal regression and restricted cubic spline curve were used to further analyze the relationship between exercise and income level.

resultsIn the analysis of adjusted all covariates, the probability of having good musculoskeletal system health in high-income participants was higher than that of low- or middle-income participants. The probability of having good musculoskeletal system health in the actively exercising group higher than that of the participants exercised insufficiently or sufficiently. Mediating effect of exercise masked the effect of income on musculoskeletal system health. Participants with low income levels tended to spend more time exercising that those who had high income levels; exercise volume and income level had a significant non-linear relationship.

conclusionThe findings presented will help identify young and middle-aged adults who are most at risk of developing musculoskeletal health problem and will likely benefit from certain lifestyle interventions.

Indexed as

ExerciseIncomeMusculoskeletal DiseasesNutrition SurveysAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedSocioeconomic FactorsUnited StatesYoung AdultIncomeMusculoskeletal healthPhysical activity

Identifiers

PMID39402466
PMCPMC11476496

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.