Evidence map›Paper›PMID 37559076›Full record

ArticleBMC musculoskeletal disorders2023

Risk factors associated with the prevalence of neck and shoulder pain among high school students: a cross-sectional survey in China.

Ruilong Wang, Yue Yin, Haoliang Zhang, Letian Pan, Yuanting Zhu, Mingxiu Wang, Ziyin Huang, Weiheng Wang, Guoying Deng

Open access · goldAbstract read
In one paragraph

Article in BMC musculoskeletal disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
12.3field-weighted citation impact, top 1% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

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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 4 institutions in 1 country.

Ruilong Wang *Trauma Center, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China.
Yue Yin *Department of Laboratory Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China.
Haoliang ZhangShanghai General Hospital, Shanghai Jiao Tong University School of Medicine, No. 650 Xin Songjiang Road, Shanghai, 201620, China.
Letian PanShanghai General Hospital, Shanghai Jiao Tong University School of Medicine, No. 650 Xin Songjiang Road, Shanghai, 201620, China.
Yuanting ZhuShanghai General Hospital, Shanghai Jiao Tong University School of Medicine, No. 650 Xin Songjiang Road, Shanghai, 201620, China.
Mingxiu WangShanghai General Hospital, Shanghai Jiao Tong University School of Medicine, No. 650 Xin Songjiang Road, Shanghai, 201620, China.
Ziyin HuangShanghai General Hospital, Shanghai Jiao Tong University School of Medicine, No. 650 Xin Songjiang Road, Shanghai, 201620, China.
Weiheng WangDepartment of Orthopaedics, Second Affiliated Hospital of Naval Medical University, NO.415 Fengyang Road, Shanghai, China. wangweiheng01@163.com.
Guoying DengTrauma Center, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, China. parisdeng2012@hotmail.com.
Shanghai Jiao Tong University · CNShanghai First People's Hospital · CNSecond Affiliated Hospital of Anhui Medical University · CNXinHua Hospital · CN

Funding

Medical-Engineering Funding of Shanghai Jiao Tong University ZH2018QNA20
6 · The paper itself

Abstract

backgroundAfter the COVID-19 outbreak, many Chinese high school students have increased their dependence on electronic devices for studying and life, which may affect the incidence of neck and shoulder pain (NSP) in Chinese adolescents.

methodsTo evaluate the prevalence of NSP in high school students and its associated risk factors during COVID-19, a survey was conducted among 5,046 high school students in Shanghai, Qinghai, Henan and Macao during the second semester and summer vacation of the 2019-2020 academic year. The questionnaire included questions regarding demographic characteristics, the prevalence of NSP and lifestyle factors such as sedentary behavior, poor posture and electronic device usage. Univariable and multivariable logistic regression was used to analyze the possible influencing factors for neck and shoulder pain.

resultsA total of 4793 valid questionnaires (95.0%) were collected. The results indicated that the prevalence of NSP was 23.7% among high school students. Binary logistic regression analysis revealed that female gender (P < 0.05, OR = 1.82), grade (P < 0.05, range OR 1.40-1.51) and subject selection (P < 0.05, range OR 0.49-0.68) were risk factors for NSP in high school students. Sedentary behavior (P < 0.05, range OR 1.74-2.36), poor posture (P < 0.05, range OR 1.19-2.56), backpack weight (P < 0.05, range OR 1.17-1.88), exercise style and frequency (P < 0.05, range OR 1.18-1.31; P < 0.05, range OR 0.76-0.79, respectively), and the time spent using electronic devices (P < 0.05, range OR 1.23-1.38)had a significant correlation with NSP in high school students.

conclusionsNSP is currently very common among high school students during the outbreak of COVID-19. Sedentary behavior, poor posture and other factors have a great impact on the occurrence of NSP in high school students. Education regarding healthy lifestyle choices should be advocated for to decrease NSP among high school students, such as more physical activity, changing poor postures and reducing the amount of time spent using electronic devices.

Indexed as

COVID-19Shoulder PainAdolescentChinaCross-Sectional StudiesFemaleHumansNeck PainPrevalenceRisk FactorsStudentsSurveys and QuestionnairesDemographic factorsHigh school studentsLifestyle habitsNeck and shoulder painRisk factors

Identifiers

PMID37559076
PMCPMC10410815
OpenAlexW4385706944

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.