Research Topics
| Sofiya AlhassanSummaryAffiliation: University of Massachusetts Country: USA Publications
| Collaborators
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Detail Information
Publications
Metabolic syndrome: do clinical criteria identify similar individuals among overweight premenopausal women?Sofiya Alhassan
Stanford Prevention Research Center, Stanford University School of Medicine, Stanford, CA 94305, USA
Metabolism 57:49-56. 2008..Regardless of MetSyn clinical criteria, >/=7% reduction in body weight has a beneficial impact on variables used to define MetSyn...
Dietary adherence and weight loss success among overweight women: results from the A TO Z weight loss studyS Alhassan
Department of Kinesiology, University of Massachusetts Amherst, Amherst, MA 01003 9258, USA
Int J Obes (Lond) 32:985-91. 2008..Dietary adherence has been implicated as an important factor in the success of dieting strategies; however, studies assessing and investigating its association with weight loss success are scarce...
Objectively measured physical activity and cardiovascular disease risk factors in African American girlsSofiya Alhassan
Stanford Prevention Research Center, Stanford University School of Medicine, Stanford, California, USA
Ethn Dis 18:421-6. 2008..This study examines the associations between objectively measured physical activity and cardiovascular disease (CVD) risk factors in preadolescent African American girls...
Comparison of the Atkins, Zone, Ornish, and LEARN diets for change in weight and related risk factors among overweight premenopausal women: the A TO Z Weight Loss Study: a randomized trialChristopher D Gardner
Stanford Prevention Research Center and the Department of Medicine, Stanford University Medical School, Stanford, Calif, USA
JAMA 297:969-77. 2007..Popular diets, particularly those low in carbohydrates, have challenged current recommendations advising a low-fat, high-carbohydrate diet for weight loss. Potential benefits and risks have not been tested adequately...
A randomized controlled trial of culturally tailored dance and reducing screen time to prevent weight gain in low-income African American girls: Stanford GEMSThomas N Robinson
Division of General Pediatrics and Stanford Prevention Research Center, Stanford University School of Medicine, 1070 Arastradero Road, Palo Alto, CA 94304, USA
Arch Pediatr Adolesc Med 164:995-1004. 2010..To test a 2-year community- and family-based obesity prevention program for low-income African American girls: Stanford GEMS (Girls' health Enrichment Multi-site Studies)...
Defining accelerometer thresholds for physical activity in girls using ROC analysisSofiya Alhassan
Department of Kinesiology, University of Massachusetts, Amherst, MA, USA
J Phys Act Health 7:45-53. 2010..The purpose of this analysis was to use ROC analysis to determine the optimal accelerometer-measured physical activity (PA) thresholds for predicting selective cardiovascular disease (CVD) risk factors...
The effects of increasing outdoor play time on physical activity in Latino preschool childrenSofiya Alhassan
Stanford Prevention Research Center, Department of Medicine and Division of General Pediatrics, University School of Medicine, Stanford, California 94305 5705, USA
Int J Pediatr Obes 2:153-8. 2007..A randomized controlled pilot study to test the hypothesis that increasing preschool children's outdoor free play time increases their daily physical activity levels...
Blood lipid responses after continuous and accumulated aerobic exerciseMichael L Mestek
Dept of Health and Human Performance, Auburn University, AL 36849, USA
Int J Sport Nutr Exerc Metab 16:245-54. 2006..These findings suggest that three smaller bouts accumulated on the same day may have a modestly greater effect for achieving transient increases in HDL-C compared to a continuous bout of similar caloric expenditure...
Estimating physical activity from incomplete accelerometer data in field studiesSofiya Alhassan
Dept of Kinesiology, University of Massachusetts, Amherts, MA 01003 0258, USA
J Phys Act Health 5:S112-25. 2008..The purpose of this study was to develop a data-driven approach for analyzing incomplete accelerometer data from field-base studies...
