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Susan Aguiñaga, Diane K. Ehlers, Elizabeth A. Salerno, Jason Fanning, Robert W. Motl and Edward McAuley

balance exercises, which are fundamental to maintaining independence in old age. Our study also had several limitations. Despite recruitment efforts, the majority of our participants were non-Latino white women, and thus, our results cannot be generalized to other populations. Future interventions may

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Kayla E. Boehm, Blaine C. Long, Mitchell T. Millar and Kevin C. Miller

Demographic Information Number of Respondents Response Rate a Sex  Males 84 51%  Females 79 48%  Prefer not to answer 1 <1% Age (years)  18–24 11 8%  25–34 81 48%  35–44 42 26%  45–54 18 11%  55–64 12 7%  >65 3 2% Ethnicity  African American/Black 5 3%  Asian/Pacific Islander 2 1%  Caucasian 144 88%  Hispanic/Latino

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Frances Bevington, Katrina L. Piercy, Kate Olscamp, Sandra W. Hilfiker, Dena G. Fisher and Elizabeth Y. Barnett

57  Female 57 71 52 43 Race  White 36 74 45 46  Hispanic/Latino 36 6 36 14  Black/African American 26 13 15 32  Other 3 7 4 7 Income  Less than $20,000 8 11 3 7  $20,000–$34,999 22 13 23 18  $35,000–$49,999 33 15 22 29  $50,000–$74,999 18 23 26 18  $75,000–$99,999 7 16 15 14  $100,000 or more 13 24

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Akira Asada, Yong Jae Ko and Wonseok (Eric) Jang

was male. The average age of the participants was 38.37 years ( SD  = 12.93). The majority of the participants were White (86.3%), followed by African American (5.3%), Asian (5.3%), Hispanic/Latino (2.1%), and other (1.0%). Manipulation check To test whether the manipulations successfully affected the

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Shaun M. Anderson and Matthew M. Martin

realm with underresourced Latino and Black youth. I think that they will come along and eventually become life-long fans through our programs.” In addition, some program managers explained that former African American MLB players were tired of seeing non-Black kids play the game of baseball. In regard

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Jaclyn P. Maher and David E. Conroy

to 125 scale). Table 1 Descriptive Statistics of Key Variables n (%) M ( SD ) Sex      Female 66 (67%)   Ethnicity      Non-Hispanic/Latino 97 (99%)   BMI      Underweight/Normal weight 38 (39%)    Overweight 36 (37%)    Obese 24 (24%)   Age (years)   73.6 (7.9) Physical Function   99.1 (19

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Mariana Luciano de Almeida, Francine Golghetto Casemiro, Camila Tiome Baba, Diana Monteiro, Mariana Fornazieri, Natália Cerri, Daniele Frascá Martins Fernandes and Grace Angélica de Oliveira Gomes

, São João TM , Gallani MCBJ , Cornélio ME , Alexandre NMC . “Programa Coração em Movimento”: intervenção para promover atividade física entre pacientes com doença arterial coronária . Rev Latino-Am Enfermagem . 2013 ; 21 ( Spec ):[ 11 telas ]. 40. Jaime PC , Bandoni DH , Sarno F

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Byron L. Zamboanga, Nathan T. Kearns, Janine V. Olthuis, Heidemarie Blumenthal and Renee M. Cloutier

.7%)    Hispanic/Latino 2 (4.0%)    Other 2 (4.1%)   General Alcohol Consumption a,b 4.42 ± 1.91 4.76 ± 2.00 Frequency of Drinking Games Participation  Less than monthly 24 (49.0%) 24 (49.0%)  Monthly 15 (30.6%) 12 (24.5%)  Weekly 9 (18.4%) 9 (18.4%)  Daily or almost daily 1 (2.0%) 3 (6.1%) Drinking Games

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Xihe Zhu and Justin A. Haegele

.9% female) from 152 elementary schools in an eastern state of the United States. The participants’ ages were, on average, 10.58 ± 0.90 years, ranging from 8 to 13 years old. At the school level, the ethnic/racial breakdown consisted of 8.1% Asian/Asian American, 23.1% Black/African American, 19.3% Latino

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You Fu and Ryan D. Burns

P , Xiang P , Stodden DF , Valdez VE . Video game-based exercise, Latino children’s physical health, and academic achievement . Am J Prev Med . 2013 ; 44 : 240 – 246 . PubMed doi:10.1016/j.amepre.2012.11.023 10.1016/j.amepre.2012.11.023 6. Cairney J , Kwan MYW , Velduizen S