Motivation and planning as mediators of the relation between social support and physical activity among U.S. adolescents: a nationally representative study

Li, Kaigang; Iannotti, Ronald J.; Haynie, Denise L.; Perlus, Jessamyn G.; Simons-Morton, Bruce G.

doi:10.1186/1479-5868-11-42

Cited by 41 publications

(30 citation statements)

References 39 publications

(55 reference statements)

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“…This finding may be a result of social support having not only a direct, but also an indirect, effect on PA through mediators, such as motivation, planning, and commitment. 17,45 Although no significant correlation with PA was found for the Peer Norms Scale, a significant moderate correlation with social support, as implied by the Health Promotion Model, 17 did support its criterion-related validity. Findings that girls who selected friends as a source of social support had greater positive peer norms supported the construct validity of the Peer Norms Scale.…”

Section: Discussionmentioning

confidence: 94%

Social Support and Peer Norms Scales for Physical Activity in Adolescents

Ling¹,

Robbins²,

Resnicow³

et al. 2014

Am J Hlth Behav

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Objectives To evaluate psychometric properties of a Social Support and Peer Norms Scale in 5th-7th grade urban girls. Methods Baseline data from 509 girls and test-retest data from another 94 girls in the Midwestern US were used. Results Cronbach's alpha was .83 for the Social Support Scale and .72 for the Peer Norms Scale, whereas test-re-test reliability was .78 for both scales. Exploratory factor analysis suggested a single factor structure for the Social Support Scale, and a 3-factor structure for the Peer Norms Scale. Social support was correlated with accelerometer-measured physical activity (r = .13, p = .006), and peer norms (r = .50, p < .0001). Conclusions Both scales have adequate psychometric properties.

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Section: Discussionmentioning

confidence: 94%

Social Support and Peer Norms Scales for Physical Activity in Adolescents

Ling¹,

Robbins²,

Resnicow³

et al. 2014

Am J Hlth Behav

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“…Data for this study was from waves 3 (W3) and 4 (W4) (12 th grade and one year after HS) of the NEXT Generation Health Study, a nationally-representative, longitudinal study with a probability cohort starting in the 2009–10 school year in the US (Kaigang Li, Iannotti, Haynie, Perlus, & Simons-Morton, 2014; K. Li, Simons-Morton, Brooks-Russell, Ehsani, & Hingson, 2014). Primary sampling units were stratified by the nine census divisions.…”

Section: Methodsmentioning

confidence: 99%

Marijuana-, alcohol-, and drug-impaired driving among emerging adults: Changes from high school to one-year post-high school

Simons-Morton

Gee

et al. 2016

Journal of Safety Research

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Introduction Driving while impaired (DWI) increases the risk of a motor vehicle crash by impairing performance. Few studies have examined the prevalence and predictors of marijuana, alcohol, and drug specific DWI among emerging adults. Methods The data from wave 3 (W3, high-school seniors, 2012, N=2407) and wave 4 (W4, one year after high school, N=2178) of the NEXT Generation Health Study with a nationally-representative cohort. W4 DWI (≥1 day of past 30 days) was specified for alcohol-specific, marijuana-specific, alcohol/marijuana-combined, illicit drug-related DWI. Multinomial logistic regression models estimated the association of W4 DWI with W3 covariates (perceived peer/parent influence, drinking/binge drinking, marijuana/illicit drug use), and W4 environmental-status variables (work/school/residence) adjusting for W3 overall DWI, demographic and complex-survey variables. Results Overall DWI prevalence from W3 to W4 changed slightly (14% to 15%). W4 DWI consisted of 4.34% drinking-specific, 5.02% marijuana-specific, 2.41% drinking/marijuana-combined, and 3.37% illicit drug-related DWI. W3 DWI was significantly associated with W4 alcohol-related and alcohol/marijuana-combined DWI, but not other DWI. W3 marijuana use, binge drinking, and illicit drug use were positively associated with W4 marijuana-specific, alcohol/marijuana-combined, and illicit drug-related DWI respectively. W3 friend drunkenness and marijuana use were positively associated with W4 alcohol-specific and marijuana-related DWI respectively. W3 peer marijuana use was negatively associated with W4 alcohol-specific DWI. Conclusions Driving under the influence of alcohol, marijuana, and illicit drugs is a persistent, threatening public health concern among emerging US adults. High-school seniors’ binge drinking as well as regular alcohol drinking and marijuana/illicit drug use were independently associated with respective DWI one year after high school. Peer drunkenness and marijuana use in high school may be related to subsequent DWI of emerging adults. Practical applications The results support the use of injunctive peer norms about getting drunk and smoking marijuana in guiding the development of prevention programs to reduce youth DWI.

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“…Tanto niños como niñas, al tener un elevado número de amigos activos aumenta la probabilidad de estos de también serlo, confirmando la hipótesis 7 del estudio, al igual que se demuestra en otros estudios recientes (Isorna, Ruiz, & Rial, 2013;Leggett, Irwin, Griffith, Xue, & Fradette, 2012;Li, Iannotti, Haynie, Perlus, & Simons-Morton, 2014).…”

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Multifactorial Identification of physical activity predictors in schoolchildren according to a socio-ecological model using multifactorial analysis

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2016

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ResumenConocer qué factores y en qué grado pueden predecir que un joven sea físicamente activo es de alto interés para poder diseñar intervenciones de promoción de la actividad física más eficaces e incrementar su nivel de adherencia. El objetivo del estudio era analizar los posibles predictores de actividad física en escolares de entre 10 y 16 años mediante un modelo multifactorial. En el estudio participaron 3.479 escolares, de los cuales 1.945 eran niños (55.9%) y 1.534 niñas (44.1%), con una edad media de 13.2 años (SD 0.043). Para la recogida de información se utilizó un cuestionario de hábitos de práctica deportiva en jóvenes. Para los análisis descriptivos se utilizaron tablas de contingencia, prueba de chicuadrado y de t-student. Para el estudio de predictores de actividad física se realizaron análisis de regresión logística multivariante. Los resultados mostraron que el 78.5% de los niños y el 62.4% de las niñas se consideraban físicamente activos al realizar práctica deportiva al margen de las clases de educación física en el centro escolar. El género, el tiempo de pantalla, el entorno familiar y el entorno amistades, aparecieron como fuertes predictores del estilo de vida de los jóvenes. Las niñas presentaron mayores índices de inactividad física, aunque tanto niños como niñas no alcanzaron los valores recomendados de actividad física diaria. El predictor de entorno familiar pone de manifiesto la necesidad de integrar a las familias en los programas de promoción de hábitos de vida saludables.Palabras clave: Ejercicio físico, adolescencia, salud escolar, determinantes. AbstractTo know what factors can predict a teen to be physically active is of great interest to the design of interventions to promote physical activity more efficiently and to achieve adherence. The aim of this study was to analyze potential predictors of physical activity in schoolchildren between 10 and 16 years using a multifactorial model. The study included 3,479 students aged 10 -16 years (1,945 boys -55.9% -and 1,534 girls -44.1% -) with a mean age of 13.2 years (SD 0.043). A healthy habits questionnaire including questions regarding physical activity habits was administered to the students. Descriptive data analysis was carried out using cross tables, chi-square and t-tests. A multivariate logistic regression analysis was performed to study predictors of physical activity. Results showed that 78.5% of boys and 62.4% of girls were considered physically active, not considering physical education classes at school. The influence of factors such as gender, screen time, family and friendship environment appeared as strong predictors of lifestyle among youth. Girls had higher rates of physical inactivity, although both boys and girls did not reach the recommended daily physical activity values. The influence of family environment highlights the need to integrate families into programs to promote healthy lifestyles.

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Motivation and planning as mediators of the relation between social support and physical activity among U.S. adolescents: a nationally representative study

Cited by 41 publications

References 39 publications

Social Support and Peer Norms Scales for Physical Activity in Adolescents

Social Support and Peer Norms Scales for Physical Activity in Adolescents

Marijuana-, alcohol-, and drug-impaired driving among emerging adults: Changes from high school to one-year post-high school

Multifactorial Identification of physical activity predictors in schoolchildren according to a socio-ecological model using multifactorial analysis

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