|
|
||||||||
| ||||||||||||||||||||||||||||||||||||||||||||||||
RESEARCH |
L Ritland, Food Science and Human Nutrition, Iowa State University, Ames, United States
D Alekel, Food Science and Human Nutrition, Iowa State University, Ames, 50011, United States
O Matvienko, School of Health, Physical Education, and Leisure Services, University of Northern Iowa, Cedar Falls, United States
K Hanson, Food Science and Human Nutrition, Iowa State University, Ames, United States
J Stewart, Food Science and Human Nutrition, Iowa State University, Ames, United States
L Hanson, Food Science and Human Nutrition, Iowa State University, Ames, United States
M Reddy, Food Science and Human Nutrition, Iowa State University, Ames, United States
M Van Loan, USDA ARS, Western Human Nutrition Research Center, University of California-Davis, Davis, United States
U Genschel, Department of Statistics, Iowa State University, Ames, United States
Correspondence: D. Alekel, Email: alekel{at}iastate.edu
Abstract
Objective: Body composition and energy homeostasis are thought to affect the appetitive hormones: adiponectin, leptin, insulin, and ghrelin. This study examined whether centrally-located fat and/or overall adiposity were related to these appetitive hormones in healthy postmenopausal women.
Design: Overall and regional body composition was assessed by dual-energy X-ray absorptiometry in relation to plasma adiponectin, serum leptin, serum insulin, and plasma ghrelin in 242 postmenopausal women.
Results: Regression analyses revealed that the androidal-to-gynoidal fat mass ratio (18.0%), age (3.2%), and white blood cell count (1.8%) accounted for 28% of the variability in adiponectin (F=22.2; P
0.0001); androidal (waist + hip) fat mass (66.0%), androidal fat mass2 (6.2%), whole body lean mass (2.2%), and age (0.8%) accounted for 69% of the variability in leptin (F=102.5; P
0.0001). Regression analyses revealed that sagittal abdominal diameter (8.4%), glucose (5.4%), white blood cell count (2.6%), and dietary omega-3 fatty acids (2.0%) accounted for 32% of the variability in insulin (F=20.8; P
0.0001); waist circumference (12.7%), hip lean mass (2.0%), and white blood cell count (1.9%) accounted for 26% of the variability in ghrelin (F=20.7; P
0.0001). Our results indicated that centralized fat mass was the primary contributor to these appetitive hormones in healthy postmenopausal women.
Conclusion: Since central adiposity in postmenopausal women was related to appetitive hormones, minimizing weight gain during the menopausal transition may optimize appetitive hormones, thereby facilitating appetite control and weight maintenance.
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH |