Biological Indicators of High Levels of Air Pollution from Endocrine, Nutritional and Metabolic Diseases

Abstract

Aim: The aim of this work is to study the endocrine, nutritional and metabolic diseases in Cyprus and their relationship to smoking and air pollution. Methods: The statistical methods were used to derive the results of this work are Student t-test in order to check the statistical significance of the endocrine, nutritional and metabolic diseases in relation to gender, One-Way ANOVA test in order to check the statistical significance of endocrine, nutritional and metabolic diseases in relation to age and the Pearson correlation coefficient for the relationship between these disorders of both predisposing factors of smoking and air pollution. Results: The results showed that there is no statistically significant difference in the number of endocrine, nutritional and metabolic diseases in relation to gender, there is a statistically significant relationship between these disorders and age, and in particular they occur mainly at ages 65 and over. Finally, there is a statistically significant relationship between the numbers of incidents of endocrine, nutritional and metabolic diseases with air pollution and there is no statistically significant relationship with smoking. Conclusions: This study has shown that human endocrine, nutritional and metabolic diseases differ in the incidence in terms of age while air pollution is a significant predisposition. Moreover, from all endocrine, nutritional and metabolic diseases, diabetes mellitus holds the first place in deaths of both men and women.