Evidence map›Paper›PMID 35058986›Full record

ArticleComputational and mathematical methods in medicine2022

Subhealth Risk Perception Scale: Development and Validation of a New Measure.

Jiangjie Sun, Xueli Jiang, Yufei Gao, Chengsen He, Mingxin Wang, Xiaohua Wang, Zhengzhi Yu, Xiaomao Si, Xiuyan Shi, Liping Zhang

Abstract readValidation Study
In one paragraph

Article in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

10 authors.

Jiangjie SunHealth Management College, Anhui Medical University, Hefei 230032, China.ORCID https://orcid.org/0000-0002-8185-0802
Xueli JiangHealth Management College, Anhui Medical University, Hefei 230032, China.ORCID https://orcid.org/0000-0002-4780-0991
Yufei GaoHealth Management College, Anhui Medical University, Hefei 230032, China.
Chengsen HeSchool of Marxism Studies, Anhui Medical University, Hefei, Anhui 230032, China.
Mingxin WangMedical Examination Center, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China.
Xiaohua WangMedical Examination Center, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China.
Zhengzhi YuNursing Department, The First Affiliated Hospital of Wannan Medical College, Wuhu 241001, China.
Xiaomao SiDepartment of General Surgery, The Traditional Chinese Medicine Hospital of Nanling County Wuhu City, Wuhu 241300, China.
Xiuyan ShiNanjing Prevention and Treatment Center for Occupational Diseases, Nanjing 231000, China.
Liping ZhangSchool of Marxism Studies, Anhui Medical University, Hefei, Anhui 230032, China.ORCID https://orcid.org/0000-0002-3242-0822

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo develop an individual's physical subhealth risk perception scale and evaluate its reliability and validity, so as to provide a measurement tool for individual physical health risk.

methodsA questionnaire on the perception risk of physical subhealth was developed. Using a random sampling method, 785 people in the Anhui provincial physical examination centre were selected as the research participants. Of the questionnaires returned, 770 were valid, giving an effective rate of 98%. Firstly, the Pearson correlation coefficient method was used to study the correlation of 35 items in the initial scale, and then, polychoric factor structure analysis was carried out by using the Pratt

resultsAll the data of 35 items were significantly correlated at the 0.01 level. The correlation coefficients between a1 and a2, a3 and a4, b1 and b2, b2 and b3, c4 and c5, c5 and c6, c6 and c7, c8 and c9, d1 and d2, d2 and d3, e5 and e6, g1 and g2, g2 and g3, and g2 and g4 were greater than 0.6. The items with correlation coefficients greater than 0.6 were reduced by a Pratt

conclusionsWe propose a physical subhealth risk perception scale amounting to 18 items, which includes five dimensions: health knowledge (2 items), risk perception (5 items), trust selection (4 items), information channel (4 items), and social groups (3 items). The reliability and validity of the physical subhealth risk perception scale are acceptable. Applying the scale into practice has potential to improve the overall public health level.

Indexed as

Attitude to HealthPerceptionRiskAdolescentAdultAgedChinaComputational BiologyDecision Support TechniquesFactor Analysis, StatisticalFemaleHumansMaleMiddle AgedPsychometricsReproducibility of Results

Identifiers

PMID35058986
PMCPMC8764275

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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.