ArticleJournal of exercise rehabilitation2020
Effects of risk factor numbers on the development of the metabolic syndrome.
Article in Journal of exercise rehabilitation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
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Who cites it
4 citing papers in PubMed, 5 citations in OpenAlex.
- Effect of treadmill walking on cardiometabolic risk factors and liver function markers in older adults with MASLD: a randomized controlled trial.BMC sports science, medicine & rehabilitation · 2025Article
- Early Identification of Metabolic Syndrome in Adults of Jiaxing, China: Utilizing a Multifactor Logistic Regression Model.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024Article
- Anthropometric indices and cut-off points for screening of metabolic syndrome among South African taxi drivers.Frontiers in nutrition · 2022Article
- Associations and pathways between residential greenness and metabolic syndromes in Fujian Province.Frontiers in public health · 2022Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study was performed to identify the factors affecting the develop-ment of metabolic syndrome by comparing the numbers of risk factors of the syndrome and by identifying the factors influencing the develop-ment of metabolic syndrome. Two hundred forty-eight health screening of examinee were used for the study (101 males, 147 females). Diagnostic basis ratio of metabolic syndrome risk factors showed that 35.1% of the subjects had abdominal obesity, 32.7% for high blood pressure, 66.1% for high insulin blood sugar, 43.1% for high triglyceride lipidemia, and 7.3% for low high-density lipoprotein lipidemia. No significant difference of the incidence of metabolic syndrome was found between gender. The diagnostic number for male was the highest with 1 risk factor (31.7%) while the highest with 2 factors (30.6%) in female. Significant differences were found in age and body mass index (BMI) between normal group with no risk factor and metabolic syndrome group. There was significant difference in BMI between the syndrome group with 1 risk factor and 3 risk factors. BMI was significantly higher (5.282 times) compared to their counterpart (
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Registered trials
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