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Bernhart, John A.; Fellers, Ashley W.; Turner-McGrievy, Gabrielle; Wilson, Mary J.; Hutto, Brent – Health Education & Behavior, 2022
Introduction: Electronic Bluetooth scales (e-scales) may be useful for remote weight assessment. This study analyzed predictors of engagement with e-scales and feasibility for remote weight assessment. Method: Due to COVID-19 restrictions, participants (n = 150, 100% African American, 79% female, average age 48.2 ± 10.6 years) in an ongoing trial…
Descriptors: Data Collection, Body Weight, Measurement Equipment, Measurement Techniques
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Simons, Leslie Gordon; Sutton, Tara E.; Landor, Antoinette M.; Barr, Ashley B.; Bryant, Chalandra M.; Granberg, Ellen M. – Youth & Society, 2021
Past research has documented that structural factors produce a skewed dating market in African American communities that advantages men over women. Using data collected from a sample of 495 African American young adults (55.8% women, M[subscript age] = 22), we tested the idea that African American men can be more selective when choosing dating…
Descriptors: Dating (Social), Gender Differences, African Americans, Preferences
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Leone, Lucia A.; Allicock, Marlyn; Pignone, Michael P.; Walsh, Joan F.; Johnson, La-Shell; Armstrong-Brown, Janelle; Carr, Carol C.; Langford, Aisha; Ni, Andy; Resnicow, Ken; Campbell, Marci K. – Health Education & Behavior, 2016
Action Through Churches in Time to Save Lives (ACTS) of Wellness was a cluster randomized controlled trial developed to promote colorectal cancer screening and physical activity (PA) within urban African American churches. Churches were recruited from North Carolina (n = 12) and Michigan (n = 7) and were randomized to intervention (n = 10) or…
Descriptors: Churches, Peer Groups, Counseling Services, Gender Differences
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Sanderson, Jennifer M.; Desai, Mayur M.; White, Marney A. – American Journal of Health Education, 2015
Background: Overweight adolescents engage in risk behaviors at different rates than healthy-weight peers. Most extant research has focused on white or regional samples. Purpose: This article examined associations between weight and risk behaviors and determined whether associations differ by race/ethnicity. Methods: Youth Risk Behavior Survey data…
Descriptors: Obesity, Adolescents, At Risk Persons, Body Weight
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Wickrama, Thulitha; Bryant, Chalandra M. – Journal of Family Issues, 2012
This study examined (a) associations between body mass index (BMI) and depressive symptoms in African American husbands and wives, (b) transactional associations between husbands and wives in this relationship, and (c) mediating and moderating role of couples' behavioral closeness in this association. Data came from a sample of 450 African…
Descriptors: Spouses, Body Weight, Body Composition, Depression (Psychology)
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Ailshire, Jennifer A.; House, James S. – Social Forces, 2011
The implications of recent weight gain trends for widening social disparities in body weight in the United States are unclear. Using an intersectional approach to studying inequality, and the longitudinal and nationally representative American's Changing Lives study (1986-2001/2002), we examine social disparities in body mass index trajectories…
Descriptors: Body Weight, Body Composition, Income, Racial Differences
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Franko, Debra L.; Thompson-Brenner, Heather; Thompson, Douglas R.; Boisseau, Christina L.; Davis, Angela; Forbush, Kelsie T.; Roehrig, James P.; Bryson, Susan W.; Bulik, Cynthia M.; Crow, Scott J.; Devlin, Michael J.; Gorin, Amy A.; Grilo, Carlos M.; Kristeller, Jean L.; Masheb, Robin M.; Mitchell, James E.; Peterson, Carol B.; Safer, Debra L.; Striegel, Ruth H.; Wilfley, Denise E.; Wilson, G. Terence – Journal of Consulting and Clinical Psychology, 2012
Objective: Recent studies suggest that binge eating disorder (BED) is as prevalent among African American and Hispanic Americans as among Caucasian Americans; however, data regarding the characteristics of treatment-seeking individuals from racial and ethnic minority groups are scarce. The purpose of this study was to investigate racial/ethnic…
Descriptors: Eating Disorders, Minority Groups, Racial Differences, Body Composition
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Park, Eunkyung – Journal of School Health, 2011
Background: Weight perception has been studied with a limited focus on "feeling overweight." This study, using a more inclusive definition of overestimation and underestimation, examines adolescents' weight perception focusing on how accurate it is in relation to body mass index (BMI)-based weight status and how it varies across socio-demographic…
Descriptors: Obesity, Body Composition, Females, Ethnicity
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Kowaleski-Jones, Lori; Christie-Mizell, C. Andre – Youth & Society, 2010
Using data from the 1994-1998 waves of the National Longitudinal Survey of Youth merged Mother and Young Adult file, this article examines the relationship between depressive symptoms and body mass index (BMI) in adolescence. The authors also examine whether this relationship varies by race and gender. Their findings indicate that over a 4-year…
Descriptors: Body Weight, Body Composition, Income, Family (Sociological Unit)
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Vogt Yuan, Anastasia S. – Journal of Youth and Adolescence, 2010
This study used the National Longitudinal Study of Adolescent Health to explore gender differences in the relationship between body perceptions and behavior and changes in adolescents' psychological well-being over a one-year time period. The sample included 12,814 adolescents (51% girls) aged 11-20 comprised of 68% Non-Hispanic White, 15% African…
Descriptors: Females, Self Concept, Developmental Stages, Body Weight
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Merten, Michael J.; Wickrama, K. A. S.; Williams, Amanda L. – Journal of Youth and Adolescence, 2008
Using a sample of 7,881 African American (915 males and 1,073 females) and White (2,864 males and 3,029 females) adolescents from Waves 1 and 3 of the National Longitudinal Study of Adolescent Health, this study examined the psychosocial consequences that obese adolescents encounter as they reach young adulthood. Results indicate that obesity…
Descriptors: Race, Obesity, Gender Differences, Young Adults
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Chang, Virginia W.; Hillier, Amy E.; Mehta, Neil K. – Social Forces, 2009
Recent research suggests that racial residential segregation may be detrimental to health. This study investigates the influence of neighborhood racial isolation on obesity and considers the role of neighborhood disorder as a mediator in this relationship. For the city of Philadelphia, we find that residence in a neighborhood with high black…
Descriptors: Neighborhoods, Obesity, Body Composition, Females
Bragg, Marie A.; Tucker, Carolyn M.; Kaye, Lily B.; Desmond, Frederic – American Journal of Health Education, 2009
Background: Obesity rates are rising in the United States, especially among low-income and racial/ethnic minority individuals. Exploring motivators and barriers relative to engaging in physical activity is imperative. Purpose: The purpose of this study was to identify motivators and barriers relative to engagement in physical activity as reported…
Descriptors: Ethnicity, Race, Qualitative Research, Obesity
Gleason, Philip; Briefel, Ronette; Wilson, Ander; Dodd, Allison Hedley – Mathematica Policy Research, Inc., 2009
We used data from the School Nutrition Dietary Assessment III Study to examine the dietary patterns of school meal program participants and nonparticipants and the relationship between school meal participation and children's BMI and risk of overweight or obesity. School Breakfast Program (SBP) participants consumed more low nutrient energy dense…
Descriptors: Obesity, International Schools, Lunch Programs, Breakfast Programs
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Nelson, Toben F.; Gortmaker, Steven L.; Subramanian, S. V.; Cheung, Lilian; Wechsler, Henry – American Journal of Health Behavior, 2007
Objectives: To examine social disparities and behavioral correlates of overweight and obesity over time among college students. Methods: Multilevel analyses of BMI, physical activity, and television viewing from 2 representative surveys of US college students (n=24,613). Results: Overweight and obesity increased over time and were higher among…
Descriptors: College Students, Television Viewing, Obesity, Physical Activities
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