Development practitioners and agencies consider sport to play a valuable role in social development; however, the emerging evidence does not yet adequately describe sport’s contribution to social development. Lyras (2009, 2012a) proposed a sport for development theory (SFDT) as a specific model to increase understanding of the processes and conditions involved in sport for development (SFD) programs. In our study, SFD practitioners of the Kicking AIDS Out Network were interviewed to identify project elements perceived as significant for achieving development objectives, and their perceptions were examined in relation to SFDT to test its applicability to their particular development context. The findings suggest SFDT offers an appropriate framework to enhance project design and delivery that integrates the features of sport, education, life skills development, use of leaders as change agents, and participation that are key to Kicking AIDS Out programs and other community sport programs promoting behavior and social change.
Sara K. Marshall and Paul Barry
Edward H. Ip, Santiago Saldana, Grisel Trejo, Sarah A. Marshall, Cynthia K. Suerken, Wei Lang, Thomas A. Arcury and Sara A. Quandt
Obesity disproportionately affects children of Latino farmworkers. Further research is needed to identify patterns of physical activity (PA) in this group and understand how PA affects Body Mass Index (BMI) percentile.
Two hundred and forty-four participants ages 2.5 to 3.5 in the Niños Sanos longitudinal study wore accelerometers that measured daily PA. Several PA-related parameters formed a profile for conducting hidden Markov modeling (HMM), which identified different states of PA.
Latino farmworker children were generally sedentary. Two different states were selected using HMM—less active and more active. In the more active state; members spent more minutes in moderate-vigorous physical activity (MVPA). Most children were in the less active state at any given time; however, switching between states occurred commonly. One variable—mother’s concern regarding lack of PA—was a marginally significant predictor of membership in the more active state. State did not predict BMI or weight percentile after adjusting for caloric intake.
Most children demonstrated high amounts of sedentary behavior, and rates of MVPA fell far below recommended levels for both states. The lack of statistically significant results for risk factors and PA state on weight-related outcomes is likely due to the homogeneous behaviors of the children.