Metabolic Age and Phase Angle in Iranian Population: How Is Their Health Status?

Abstract

Background: Non-communicable diseases are the main causes of mortality and morbidity. Metabolic age (MA) explains overall fitness, and if it is higher than chronological age (CA), it is necessary to improve general health. The phase angle (PA) is a direct measurement of the cell membranes and is a remarkable window to describe how the body responds to changes in health status. Objectives: The aim of this study is to estimate the health status of the sample population. Methods: A total of 445 healthy individuals participated, who were selected through convenience sampling from a health promotion clinic in a general hospital in Tehran. A body composition analyzer was applied using bioelectrical impedance analysis (BIA). We used SPSS version 25 to describe statistics. The bivariate Pearson Correlation, R, measured linear relationships between pairs of age, MA, and PA. A linear regression method for predicting MA and PA was related to the dependent variables, age and MA, respectively. A P-value less than 0.05 was considered statistically significant. Results: 59.3% of participants were female, and 40.7% were male. There was no significant difference between the mean age and MA of men and women (P > 0.05). There was a significant difference between PA in men and women (P < 0.05). There was a strong correlation between increasing age and MA in Iranians, indicating their unhealthy lifestyle. Conclusions: The PA is a prognostic marker in several health conditions. Based on the new technology, clinicians can look for changes in health status with healthy lifestyle interventions, prevention, and health promotion in public and private clinical settings.