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Full-Text Articles in Life Sciences

Adolescent Physical Activity And The Built Environment: A Latent Class Analysis Approach, Kelsey Mcdonald, Mary Hearst, Kian Farbakhsh, Carrie Patnode, Ann Forsyth, John Sirard, Leslie Lytle Mar 2012

Adolescent Physical Activity And The Built Environment: A Latent Class Analysis Approach, Kelsey Mcdonald, Mary Hearst, Kian Farbakhsh, Carrie Patnode, Ann Forsyth, John Sirard, Leslie Lytle

John Sirard

This study used latent class analysis to classify adolescent home neighborhoods (n=344) according to built environment characteristics, and tested how adolescent physical activity, sedentary behavior, and screen time differ by neighborhood type/class. Four distinct neighborhood classes emerged: 1) low-density retail/transit, low walkability index (WI), further from recreation; 2) high-density retail/transit, high WI, closer to recreation; 3) moderate-high-density retail/transit, moderate WI, further from recreation; and 4) moderate-low-density retail/transit, low WI, closer to recreation. We found no difference in adolescent activity by neighborhood class. These results highlight the difficulty of disentangling the potential effects of the built environment on adolescent physical activity.


Comparison Of Three Measures Of Physical Activity And Associations With Blood Pressure, Hdl And Body Composition In A Sample Of Adolescents, Mo Hearst, John Sirard, La Lytle, Dr Dengel, D Berrigan Jan 2012

Comparison Of Three Measures Of Physical Activity And Associations With Blood Pressure, Hdl And Body Composition In A Sample Of Adolescents, Mo Hearst, John Sirard, La Lytle, Dr Dengel, D Berrigan

John Sirard

Background—The association of physical activity (PA), measured three ways, and biomarkers were compared in a sample of adolescents. Methods—PA data were collected on two cohorts of adolescents (N=700) in the Twin Cities, Minnesota, 2007–2008. PA was measured using two survey questions (Modified Activity Questionnaire (MAQ)), the 3-Day Physical Activity Recall (3DPAR), and accelerometers. Biomarkers included systolic (SBP) and diastolic blood pressure (DBP), lipids, percent body fat (%BF) and body mass index (BMI) percentile. Bivariate relationships among PA measures and biomarkers were examined followed by generalized estimating equations for multivariate analysis. Results—The three measures were significantly correlated with each other (r=0.22–0.36, …


Obesogenic Family Types Identified Through Latent Profile Analysis, Brian Martinson, Gabriela Vazquezbenitez, Carrie Patnode, Mary Hearst, Nancy Sherwood, Emily Parker, John Sirard, Keryn Pasch, Leslie Lytle Oct 2011

Obesogenic Family Types Identified Through Latent Profile Analysis, Brian Martinson, Gabriela Vazquezbenitez, Carrie Patnode, Mary Hearst, Nancy Sherwood, Emily Parker, John Sirard, Keryn Pasch, Leslie Lytle

John Sirard

Background—Obesity may cluster in families due to shared physical and social environments. Purpose—This study aims to identify family typologies of obesity risk based on family environments. Methods—Using 2007–2008 data from 706 parent/youth dyads in Minnesota, we applied latent profile analysis and general linear models to evaluate associations between family typologies and body mass index (BMI) of youth and parents. Results—Three typologies described most families with 18.8% “Unenriched/Obesogenic,” 16.9% “Risky Consumer,” and 64.3% “Healthy Consumer/Salutogenic.” After adjustment for demographic and socioeconomic factors, parent BMI and youth BMI Z-scores were higher in unenriched/obesogenic families (BMI difference=2.7, p<0.01 and BMI Z-score difference=0.51, p<0.01, respectively) relative to the healthy consumer/salutogenic typology. In contrast, parent BMI and youth BMI Z-scores were similar in the risky consumer families relative to those in healthy consumer/salutogenic type. Conclusions—We can identify family types differing in obesity risks with implications for public health interventions.


Physical Activity And Sedentary Activity Patterns Among Children And Adolescents: A Latent Class Analysis Approach, Carrie Heitzler, Leslie Lytle, Darin Erickson, John Sirard, Daheia Barr-Anderson, Marry Story May 2011

Physical Activity And Sedentary Activity Patterns Among Children And Adolescents: A Latent Class Analysis Approach, Carrie Heitzler, Leslie Lytle, Darin Erickson, John Sirard, Daheia Barr-Anderson, Marry Story

John Sirard

Background—While much is known about the overall levels of physical activity and sedentary activity among youth, few studies have attempted to define clusters of such behaviors. The purpose of this study was to identify and describe unique classes of youth based on their participation in a variety of physical activity and sedentary behaviors. Methods—Latent class analysis was used to characterize segments of youth based on patterns of self-reported and accelerometer-measured participation in 12 behaviors. Children and adolescents (N=720) from 6th–11th grade were included in the analysis. Differences in class membership were examined using multinomial logistic regression. Results—Three distinct classes emerged …


Dog Ownership And Adolescent Physical Activity, John R. Sirard, Carrie D. Patnode, Mary O. Hearst, Melissa N. Laska Mar 2010

Dog Ownership And Adolescent Physical Activity, John R. Sirard, Carrie D. Patnode, Mary O. Hearst, Melissa N. Laska

John Sirard

Background—Positive associations between dog ownership and adult health outcomes have been observed, but research involving youth is lacking. Purpose—The purpose of this study was to assess the relationship of family dog ownership to adolescent and parent physical activity, weight status, and metabolic risk factors. Methods—Data were collected on dog ownership in 618 adolescent/parent pairs between 9/2006 and 6/2008 and analyzed in 2010. Adolescent physical activity was assessed by ActiGraph accelerometers. Trained staff measured blood pressure, height and weight, and percentage body fat was calculated by impedance. A subsample of adolescents (n=318) opted for a fasting blood draw used to derive …


Changes In Physical Activity From Walking To School, John Sirard, Sofiya Alhassan, Tirzah Spencer, Thomas Robinson Jan 2008

Changes In Physical Activity From Walking To School, John Sirard, Sofiya Alhassan, Tirzah Spencer, Thomas Robinson

John Sirard

No abstract provided.


A Preliminary Test Of A Student-Centered Intervention On Increasing Physical Activity In Underserved Adolescents, Dawn Wilson, Alexandra Evans, Joel Williams, Gary Mixon, John Sirard, Russell Pate Oct 2005

A Preliminary Test Of A Student-Centered Intervention On Increasing Physical Activity In Underserved Adolescents, Dawn Wilson, Alexandra Evans, Joel Williams, Gary Mixon, John Sirard, Russell Pate

John Sirard

Background—Previous studies have shown that choice and self-initiated behavior change are important for increasing intrinsic motivation and physical activity (PA), however, little of this research has focused on underserved adolescents. Purpose—This study examined the effects of a 4-week student-centered intervention on increasing PA in underserved adolescents. Methods—Twenty-eight students in the intervention school were matched (on race, percentage on free or reduced-price lunch program, gender, and age) with 20 students from another school who served as the comparison group (30 girls, 18 boys; ages 10–12 years; 83% African American; 83% on free or reduced-price lunch). The student-centered intervention was consistent with …


Prevalence Of Active Commuting At Urban And Suburban Elementary Schools In Columbia, Sc, John Sirard, Barbara Ainsworth, Kerri Mclver, Russell Pate Feb 2005

Prevalence Of Active Commuting At Urban And Suburban Elementary Schools In Columbia, Sc, John Sirard, Barbara Ainsworth, Kerri Mclver, Russell Pate

John Sirard

We directly observed the prevalence of walking and bicycling (active commuting) to 8 randomly selected urban and suburban elementary schools. When school was used as the unit of analysis, only 5.0% of the students actively commuted to or from school across all observed trips. Active commuting was not affected (P ≥.18) by school urbanization level, school socioeconomic status, time of day, day of week, weather conditions, or temperature. These results indicate a need for school- and community- based interventions.