ArticleHigh blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension2021
Metabolic Age, an Index Based on Basal Metabolic Rate, Can Predict Individuals That are High Risk of Developing Metabolic Syndrome.
Article in High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
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- A body composition-based clustering study and its association with metabolic phenotypes among the general population in China.Frontiers in nutrition · 2025Article
- The Effect of a Program to Improve Adherence to the Mediterranean Diet on Cardiometabolic Parameters in 7034 Spanish Workers.Nutrients · 2024Article
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- The effect of intermittent fasting on preventing obesity-related early aging from a molecular and cellular perspective.Journal of medicine and life · 2024Review
- Factors affecting aesthetic results in patients undergoing craniofacial reconstruction following maxillofacial trauma.American journal of translational research · 2024Article
- Graft rejection in paediatric congenital heart disease.Translational pediatrics · 2023Review
- The causal relationship between sarcopenic obesity factors and benign prostate hyperplasia.Frontiers in endocrinology · 2023Article
- Body Composition Profiles of Applicants to a Physical Education and Sports Major in Southeastern Mexico.International journal of environmental research and public health · 2022Article
- Levels of Plasma Coenzyme QAntioxidants (Basel, Switzerland) · 2022Article
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9 authors.
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Abstract
introductionEvery 10 years, an adult's basal metabolic rate (BMR), independent of their BMI, decreases 1-2% due to skeletal muscle loss, thus decreasing an adult's energy requirement and promoting obesity. Increased obesity augments the risk of developing Metabolic Syndrome (MetS); however, an adult's healthy lifestyle, which increases BMR, can mitigate MetS development. To compare different BMRs for certain ages, Metabolic age (Met-age) was developed.
aimTo assess the association between Met-age and MetS and to determine if Met-age is an indicator of high-risk individuals for MetS.
methodsFour hundred thirty-five attendees at 2 clinics agreed to participate and gave signed informed consent. MetS risk was assessed by the ESF-I questionnaire. Met-age was determined using a TANITA bio-analyzer. Strengthen of association was determined by calculating Spearman's rho and predictability was evaluated by the area-under-a-receiver-operating characteristic curve (AUC). Difference-in-age (DIA) = [chronological age - Met-age].
resultsThere was a difference between the low-risk (n = 155) and the high-risk (n = 280) groups' Met-age (37.8±16.7 v. 62.9±17.3) and DIA (1.3±17.4 v. - 10.5±20.8, p < 0.001). There was a positive correlation between the ESF-I questionnaire and Met-age (rho = - 0.624, p < 0.001) and a negative correlation for DIA (rho = - 0.358, p < 0.001). Met-age was strongly predictive (AUC = 0.84, 95% CI 0.80-0.88), suggesting a 45.5 years cutoff (sensitivity = 83.2%, specificity = 72.3%). DIA was a good predictor (AUC = 0.68, 95% CI 0.63-0.74) with a - 11.5 years cutoff (sensitivity = 52.5%, specificity = 82.8%).
conclusionMet-age highly associated with and is an indicator of high-risk individuals for MetS. This would suggest that increases in Met-age are associated with augmented MetS severity, independent of the individual's chronological age.
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