摘要
BACKGROUND Both obesity and vitamin D deficiency are important health issues in Pakistan.The connection between body composition, Vitamin D and leptin in young adults is important to be studied as body composition may affect bone health and therefore the possibility of osteoporosis in later life. Few studies have attempted to investigate the effect of body composition and leptin with vitamin D in adolescence.AIM To investigate the association of serum leptin with body composition, lipids and25-hydroxyvitamin D(25 OHD) in adults.METHODS This cross-sectional study was conducted on 167 apparently healthy adults.Demographics were recorded, bioelectrical impedance analysis was performed and clinical history noted. Serum leptin was measured using DIA source kit on ELISA and total 25 OHD was measured on ADVIA-Centaur; Siemens. Total cholesterol and high density lipoprotein cholesterol were quantified using Enzymatic Endpoint Method and Cholesterol Oxidase-Phenol Aminophenazone method respectively. Biochemical analysis was done in the Departments of Pathology and Laboratory Medicine and Biological and Biomedical Sciences, Aga Khan University Hospital Karachi Pakistan.RESULTS Median age of the group(n = 167) was 20 years(IQR 27-20); 55.7% were females.Majority(89.2%, n = 149) of the study group was 25 OHD deficient, 6%(n = 10)had insufficient serum 25 OHD levels and 4.8%(n = 8) had sufficient D levels.Females, had higher median leptin levels [2.71(IQR 4.76-1.66 ng/mL)] compared to their counterparts [1.3(3.60-0.54 ng/mL), P < 0.01]. Multiple regression analysis suggested that basal metabolic rate, muscle mass, body fat percent, bone mass and serum 25 OHD were the most contributing factors to serum leptin levels. Bone mass and serum 25 OHD in fact bore a negative correlation with leptin.CONCLUSION The results indicate that basal metabolic rate, muscle mass, body fat percent, bone mass and serum 25 OHD have an impact on serum leptin. Being a cross sectional study causal relationship between leptin and other variables could not be determined.
BACKGROUND Both obesity and vitamin D deficiency are important health issues in Pakistan.The connection between body composition, Vitamin D and leptin in young adults is important to be studied as body composition may affect bone health and therefore the possibility of osteoporosis in later life. Few studies have attempted to investigate the effect of body composition and leptin with vitamin D in adolescence.AIM To investigate the association of serum leptin with body composition, lipids and25-hydroxyvitamin D(25 OHD) in adults.METHODS This cross-sectional study was conducted on 167 apparently healthy adults.Demographics were recorded, bioelectrical impedance analysis was performed and clinical history noted. Serum leptin was measured using DIA source kit on ELISA and total 25 OHD was measured on ADVIA-Centaur; Siemens. Total cholesterol and high density lipoprotein cholesterol were quantified using Enzymatic Endpoint Method and Cholesterol Oxidase-Phenol Aminophenazone method respectively. Biochemical analysis was done in the Departments of Pathology and Laboratory Medicine and Biological and Biomedical Sciences, Aga Khan University Hospital Karachi Pakistan.RESULTS Median age of the group(n = 167) was 20 years(IQR 27-20); 55.7% were females.Majority(89.2%, n = 149) of the study group was 25 OHD deficient, 6%(n = 10)had insufficient serum 25 OHD levels and 4.8%(n = 8) had sufficient D levels.Females, had higher median leptin levels [2.71(IQR 4.76-1.66 ng/mL)] compared to their counterparts [1.3(3.60-0.54 ng/mL), P < 0.01]. Multiple regression analysis suggested that basal metabolic rate, muscle mass, body fat percent, bone mass and serum 25 OHD were the most contributing factors to serum leptin levels. Bone mass and serum 25 OHD in fact bore a negative correlation with leptin.CONCLUSION The results indicate that basal metabolic rate, muscle mass, body fat percent, bone mass and serum 25 OHD have an impact on serum leptin. Being a cross sectional study causal relationship between leptin and other variables could not be determined.
