Metabolic Age, an Index Based on Basal Metabolic Rate, Can Predict Individuals That are High Risk of Developing Metabolic Syndrome
Introduction Every 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 adul...
Saved in:
Published in | High blood pressure & cardiovascular prevention Vol. 28; no. 3; pp. 263 - 270 |
---|---|
Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Cham
Springer International Publishing
01.05.2021
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | Introduction
Every 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.
Aim
To assess the association between Met-age and MetS and to determine if Met-age is an indicator of high-risk individuals for MetS.
Methods
Four 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].
Results
There 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%).
Conclusion
Met-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. |
---|---|
ISSN: | 1120-9879 1179-1985 |
DOI: | 10.1007/s40292-021-00441-1 |