Observational studyMedicine2019
Role of the physical fitness test in risk prediction of diabetes among municipal in-service personnel in Guangxi.
Observational study in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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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.
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Who cites it
1 citing paper in PubMed.
- Use of Handgrip Strength as a Health Indicator in Public Sector Workers: A Cross-Sectional Study.Journal of functional morphology and kinesiology · 2025Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To explore the relationship between risk prediction of diabetes mellitus (DM) and different physical fitness parameters in municipal in-service personnel in Guangxi.This was a cross-sectional study conducted in China from July 2015 to December 2016. We enrolled in-service adults (20-65 year of age) from public institutions. All subjects underwent National Physical Fitness Test (NPFT) and EZSCAN screening.The 5668 subjects were 42.9±12.3 years; 2984 (52.6%) were male; 3998 (70.5%), 1579 (27.9%) and 85 (1.6%) were Han, Zhuang, and other ethnicities, respectively. The multivariable analysis showed that systolic blood pressure (odds ratio [OR] = 1.013, 95% confidence interval [CI]: 1.003-1.022, P = .01), Harvard step test index (OR = 0.958, 95% CI: 0.941-0.976, P <.001), bend-ahead in sitting (OR = 0.945, 95% CI: 0.926-0.963, P <.001), hand grip strength (OR = 0.981, 95% CI: 0.966-0.997, P = .02), vertical jump height (OR = 0.969, 95% CI: 0.944-0.996, P = .02), time of single-leg standing with eyes closed (OR = 0.981, 95% CI: 0.968-0.995, P = .007), choice reaction time (OR = 2.103, 95% CI: 1.261-3.507, P = .004), and body composition minerals (OR = 1.649, 95% CI: 1.261-1.813, P < .001) were independently associated with DM. The resulting equation for the prediction of DM had an area under the receiver operating characteristic curve of 0.808, indicating good predictive ability.NPFT and EZSCAN could help predict the risk of diabetes and give early warnings to undertake preventive actions such as changing diet and performing physical activity.
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