ArticleComputational and mathematical methods in medicine2022
Subhealth Risk Perception Scale: Development and Validation of a New Measure.
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.
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Who cites it
7 citing papers in PubMed.
- Strengthening the first antenatal visit to improve maternal health: results from a cross-sectional study in Bantul, Indonesia.BMC pregnancy and childbirth · 2025Article
- Development of a measurement of doctor-patient communication quality scale.Frontiers in public health · 2025Article
- Efficacy of Fufang E'jiao Jiang in the Treatment of Patients with Qi and Blood Deficiency Syndrome: A Real-World Prospective Multicenter Study with a Patient Registry.Evidence-based complementary and alternative medicine : eCAM · 2023Article
- Acceptance Factors and Psychological Investigation of Clinical Trials in Cancer Patients.Behavioural neurology · 2023Article
- Analysis of the Influencing Factors of Seeking Intention on COVID-19 Risk Information: A Cross-Sectional Study.Risk management and healthcare policy · 2023Article
- An Empirical Study on Physical Subhealth Risk Perception: A Physical Examination Data of Tertiary Grade-A Hospitals in Anhui Province, China.Journal of environmental and public health · 2023Article
- Questionnaire development on measuring parents' anxiety about their children's education: Empirical evidence of parental perceived anxiety data for primary and secondary school students in China.Frontiers in psychology · 2022Article
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10 authors.
Funding
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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.
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