Convergent Validity of the Physical Activity Questionnaire for Adolescents

1997 ◽  
Vol 9 (4) ◽  
pp. 342-352 ◽  
Author(s):  
Kent C. Kowalski ◽  
Peter R.E. Crocker ◽  
Nanette P. Kowalski

This study assessed the convergent validity of the Physical Activity Questionnaire for Adolescents (PAQ-A). The PAQ-A is a modified version for high school students of the Physical Activity Questionnaire for Older Children (PAQC). The PAQ-A is a 7-day recall used to assess general physical activity levels during the school year. Eighty-five high school students in Grades 8 through 12 filled out the PAQ-A and other physical activity measures. The PAQ-A was moderately related to an activity rating (r = .73), the Leisure Time Exercise Questionnaire (r = .57), a Caltrac motion sensor (r = .33), and the 7-day physical activity recall interview (r = .59). The results of this study support the convergent validity of the PAQ-A as a measure of general physical activity level for high school students.

Retos ◽  
2021 ◽  
Vol 43 ◽  
pp. 1056-1064
Author(s):  
Pablo José Borges Hernández ◽  
Judith Hernández Sánchez ◽  
Gabriela Iglesias López ◽  
Adelto Hernández Álvarez

  The decrease in physical activity among adolescents has become a global health problem. From the educational point of view, preventing sedentarism is of uttermost importance to avoid repercussions on economic and social levels. This study aims to analyze the characteristics and time dedicated to physical and leisure activities by adolescent during the lockdown caused by COVID-19 (2019, April 1 to May 1). The Minnesota Lesuire Time Physical Activity Questionnaire was used telematically on 4070 Canarian high school students (M=15.01; SD=3.53 years) during lockdown. 83.13% of the sample did not follow the WHO recommendations regarding physical activity, 63.64% did not keep ACSM recommendations to passive leisure, and 37% did not respect those regarding sleeping time. Likewise, as age increased there was a decrease in the amount of time dedicated to physical activity and thus failure to follow the recommendations of the relevant institutions. Also the time allotted to passive leisure was M=3.55 (SD=2.75) hours per day. It is concluded that the time dedicated to physical activity is insufficient according to the official bodies like as the use of screens acquires great predominance in the employment of adolescents’ free time, causing the need to consider future interventions to mitigate the sedentarism level and its consequences.  Resumen. La disminución de los hábitos de práctica física entre adolescentes se ha convertido en un problema de salud mundial. Desde el punto de vista educativo, la prevención del sedentarismo es de vital importancia por sus repercusiones tanto a nivel económico, social, como para la salud en general. Este estudio describe y analiza las características y el tiempo dedicado por escolares a actividad física y entretenimiento, durante el período de confinamiento por Covid-19 (1 de abril a 1 de mayo de 2019). Mediante el Minnesota Lesuire Time Physical Activity Questionnaire administrado de manera telemática a 4070 escolares (M=15,01; DT=3,53 años), se encontró que el 83,13% de la muestra no cumplieron las recomendaciones respecto a actividades físicas, el 63,64% las del tiempo de pantallas, y el 37% las horas de sueño. Asimismo, a medida que aumentaba la edad disminuían las horas de práctica física y por ende el incumplimiento de las recomendaciones de los organismos pertinentes. El tiempo destinado a ocio pasivo durante el confinamiento fue de 3,55 (DT=2,75) horas al día. Se concluye que el tiempo de actividad física es insuficiente según los parámetros establecidos, predominando el uso de pantallas en la ocupación del tiempo libre de los adolescentes, por tanto urge plantear intervenciones para mitigar los elevados niveles de sedentarismo.


2006 ◽  
Vol 28 (2) ◽  
pp. 171-192 ◽  
Author(s):  
Andrew J. Martin ◽  
David V. Tipler ◽  
Herbert W. Marsh ◽  
Garry E. Richards ◽  
Melinda R. Williams

This study presents a new, multidimensional approach to physical activity motivation that is operationalized through four primary factors: adaptive cognitive dimensions, adaptive behavioral dimensions, impeding cognitive dimensions, and maladaptive behavioral dimensions. Among 171 Australian high school students, the study assessed the structure of this four-factor framework (a within-network construct validity approach) and also examined the relationships between motivation and three key correlates: flow in physical activity, physical self-concept, and physical activity level (a between-network construct validity approach). The four-factor framework demonstrated within-network validity in the form of reliable subscales and a sound factor structure. In terms of between-network validity, relationships between the adaptive behavioral and cognitive aspects of motivation and physical self-concept, flow, and activity levels were found to be positive and significant, whereas significant inverse relationships were found between impeding and maladaptive motivation dimensions and flow and physical self-concept. Additional analysis utilizing multiple-indicator multiple-cause (MIMIC) modeling showed that during earlier adolescence girls are more motivated than boys to engage in physical activity, but by later adolescence boys are more motivated to do so. Results are interpreted in terms of future directions for possible physical activity interventions aimed at increasing both the uptake and continuation of activity.


2021 ◽  
Vol 9 (2) ◽  
pp. 474-480
Author(s):  
Nimet Haşıl Korkmaz ◽  

The goal of this study is to investigate whether or not the attention level of middle school students’ changes depends on their physical activity. Fourty middle-school students who have been taking education in Yalova province joined the study as a volunteer. Fifty percent of the participants are male and the others are female. The experimental and the control groups have been formed and each of these groups consisted of 10 male and 10 female students. International physical activity questionnaire short form and Burdon concentration test were used as the information gathering instruments. To compare the experimental groups with the control groups, a T-test was used for independent groups. To compare one to another participant in each group, also T-test was used for dependent groups. Using the international physical activity questionnaire short form, preliminary and final tests were applied to each participant. According to the results of the questionnaire, weekly MET values of each participant were calculated. At the beginning of the study, the Burdon concentration test applied to each participant. Our study has finished in eight weeks. The physical activity levels of the control group were kept constant and no information was given. Twenty pieces of Xiaomi-mi-band-3 smart bracelets were supplied to the experimental group and they were informed about the features of these devices. At the end of 8 weeks period, the international physical activity questionnaire short form and Burdon concentration test were applied to each participant again. According to the physical activity levels of the control group, no significant difference has been found between the results of the Burdon concentration test (p > 0.05). But according to the physical activity levels of the experimental group, a significant difference has been found between the results of the Burdon concentration test (p < 0.05). As a result, it has been observed that an increase in levels of physical activity provides an increase in concentration. In conclusion, it is seen that many students and young people have low levels of physical activity due to both lifestyle and virtual world dependence. Although there are many factors, the decrease in physical activity causes low levels of attention. The better the attention levels of our students and young people, the more successful they will be in their lives. Our study and most of the mentioned studies reveal that attention is a developable skill and a situational factor that is open to influence. Therefore, attention development in children who are directed to recreational activities should be emphasized, especially during periods of rapid physical growth. If we want our students and young people to be more successful, they should be encouraged and supported more about physical activity.


Author(s):  
Seungho Ryu ◽  
Paul Loprinzi ◽  
Heontae Kim ◽  
Minsoo Kang

The purpose of this study was to assess trends in physical education and physical activity among U.S. high school students from 2011 to 2017, respectively, and to evaluate temporal trends in the relationship between physical education class participation and physical activity levels. Data from a total of 51,616 high school students who participated in the Youth Risk Behavior Surveillance System (YRBSS) from 2011 to 2017 were analyzed for this study. Physical education was measured as follows: In an average week when you are in school, on how many days do you go to physical education classes? Physical activity was measured as follows: During the past 7 days, on how many days were you physically active for a total of at least 60 min per day? Meeting physical activity guideline was defined as engaging in 7 days per week of at least 60 min per day. Across the 2011–2017 YRBSS, there were no linear (p = 0.44)/quadratic trends (p = 0.37) in physical education and linear (p = 0.27)/quadratic trends (p = 0.25) in physical activity, respectively. Regarding the trends in the association between physical education and physical activity, there were no statistically significant linear (unstandardized regression coefficient (b) = 0.013, p = 0.43) or quadratic (p = 0.75) trends; however, at the sample level, there was a slight increase in the odds ratio effect sizes from 2011 to 2017 (ES = 1.80–1.98). The pooled association between physical education participation and physical activity was statistically significant, OR = 1.88, 95% CI = 1.75–2.03, p < 0.001. That is, on average across the four YRBSS cycles, students who participated in physical education had 1.88 times higher odds of meeting physical activity guideline when compared to students who did not participate in physical education. The trends of physical education and physical activity did not change between 2011 and 2017. Overall, we observed a significant relationship between participation in physical education and physical activity. There was a non-significant yet stable trend of association between participation in physical education and physical activity over time.


2004 ◽  
Vol 16 (1) ◽  
pp. 44-53 ◽  
Author(s):  
Bridgette E. Wilde ◽  
Charles B. Corbin ◽  
Guy C. Le Masurier

The purpose of this study was to examine the pedometer-measured physical activity levels of high school students (Grades 9–12). Comparisons were made between sexes, among grades, among groups based on level of participation in sport and physical education, and among groups based on levels of self-reported physical activity (based on questions from the National Youth Risk Behavior Surveillance System). Participants wore sealed pedometers for 4 consecutive school days. Results indicated no differences among days of monitoring but did show significant differences in mean steps per day between sexes, among grades, and among activity levels. Males took more steps per day than females did, and 10th graders took more steps than 12th graders did. Teens involved in sport and physical education took more steps than did those not involved. Teens who reported meeting both moderate and vigorous activity recommendations were most active, followed by teens meeting recommendations for moderate activity.


2004 ◽  
Vol 36 (Supplement) ◽  
pp. S183
Author(s):  
Markus V. Nahas ◽  
Mauro V.G. Barros ◽  
Maria Ferminia L. De Bem ◽  
Elusa S. Oliveira

2018 ◽  
Vol 22 (5) ◽  
pp. 486-492
Author(s):  
Kelly Pandolfo ◽  
Tatiane Minuzzi ◽  
Cati Azambuja ◽  
Daniela Dos Santos

There are still doubts about the real benets of physical activity on the academic performance of adolescents. The aim of this study was to determine whether the physical activity (PA) interferes in the academic performance of high school students.The study included 348 adolescents from one fed- eral public school. For information regarding PA, the International Physical Activity Questionnaire (IPAQ short-version) was used. For PAL classication the adolecents who had 300 minutes/week or more of physical activity were considered as active. The information related to the participation in sports schools was obtained through a question inserted in IPAQ. For the academic performance, the average grades of the rst semester of 2015 were used, within the three major Knowledge Areas, as dened by the National Curriculum Standards. ere was no signicant correlation between academic performance and PA (r= 0.06; p= 0.28). Higher minimum scores were found among active high school students and higher average school for areas 1 – Languages, Codes and its Technologies (7.2±0.8) and 2 – Natural Sciences, Mathematics and its Technologies (6.6±1.3) among participants in sports schools, with statistical signicance (p= 0.017; p= 0.014). In conclusion, PAL did not relate to the academic performance of pupils in this study and participants of sports schools achieved better academic performance demonstrating that sports activities can cause benecial eects in their cognitive performances.


2021 ◽  
Vol 26 ◽  
pp. 1-7
Author(s):  
Eduardo Lucia Caputo ◽  
Natan Feter ◽  
Ricardo Alt ◽  
Jayne Santos Leite ◽  
Alysson Nogueira Rodrigues ◽  
...  

This pilot study aimed to evaluate the effectiveness of a Gamification-based intervention on physical activity levels of High School students. This quasi experimental study was conducted in two federal high schools in Southern Brazil. One class from each school was selected to be either intervention (INT) or control (CON) group. Experiment duration was two weeks, and both groups downloaded My Active Life app. INT group (n = 69) participants received daily app alerts with messages of encouragement to practice physical activity. They also received a score based on the percentage of goal achieved. CON group (n = 35) only had access to total number of steps per day. INT group showed a lower decrease in physical activity at school compared to CON group (p = 0.024). No effect of intervention was observed in physical activity out of school (p = 0.911). Gamification-based intervention prevented a decrease in physical activity at school among male (F = 10.680; p = 0.004), students at first half of high school (F = 12.668; p = 0.002), and adequate body mass index (F = 4.640; p = 0.037), and with lower perception of barriers to physical activity (F = 5.437; p = 0.024). Although we did not observe an increase in physical activity at school, gamification-based intervention may mitigate its decrease among adolescents.


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