Literature DB >> 27759968

Cut-off values for classifying active children and adolescentes using the Physical Activity Questionnaire: PAQ-C and PAQ-ACut-off values for classifying active children and adolescents using the Physical Activity Questionnaire: PAQ-C and PAQ-A.

Javier Benítez-Porres1, José Ramón Alvero-Cruz, Luis B Sardinha, Iván López-Fernández, Elvis A Carnero.   

Abstract

INTRODUCTION: The Physical Activity Questionnaire for children and adolescents (PAQ-C & PAQ-A) has been widely used in research and field settings. However, there is a lack of information about its final score meaning.
OBJECTIVE: To determine PAQ-C and PAQ-A score cut-off values using physical activity (PA) thresholds objectively measured as reference criteria.
METHODS: 146 children (n = 83 boys, n = 63 girls) and 234 adolescents (n = 115 boys, n = 119 girls) participated in this study. Accelerometers (Actigraph GT3X) were used to assess objectively PA during one-week, afterwards PAQ was filled by the participants. As participants met or not the international PA recommendations for total, moderate-vigorous (MVPA) or light PA, three categorical variables of two levels were created. ROC curves procedure were carried out to obtain score cut-off points for identifying the positive category recommendation.
RESULTS: ROC curves analysis estimated 2.75 and 2.73 score cut-off points to discriminate > 60 minutes of MVPA for PAQ-A and PAQ-C respectively (PAQ-A AUC = 0.68, p < 0.001 and PAQ-C; AUC = 0.55, p > 0.05). Also 60 minutes of MVPA was achieved with a total volume of 10,664 steps/day in children and 9,701 steps/day in adolescents.
CONCLUSIONS: Our results suggest that PAQ-A can be a useful tool to classify adolescents as active or inactive following international recommendations as criteria. However, we could not find a significant cut-off for PAQ-C score.

Entities:  

Keywords:  ROC curves. Adolescence. Childhood. Sensitivity. Specificity.

Mesh:

Year:  2016        PMID: 27759968     DOI: 10.20960/nh.564

Source DB:  PubMed          Journal:  Nutr Hosp        ISSN: 0212-1611            Impact factor:   1.057


  17 in total

1.  Daily Step-Based Recommendations Related to Moderate-to-Vigorous Physical Activity and Sedentary Behavior in Adolescents.

Authors:  Daniel Mayorga-Vega; Carolina Casado-Robles; Jesús Viciana; Iván López-Fernández
Journal:  J Sports Sci Med       Date:  2019-11-19       Impact factor: 2.988

2.  Validity and reliability of the Physical Activity Questionnaire for Children (PAQ-C) and Adolescents (PAQ-A) in individuals with congenital heart disease.

Authors:  Christine Voss; Paige H Dean; Ross F Gardner; Stephanie L Duncombe; Kevin C Harris
Journal:  PLoS One       Date:  2017-04-26       Impact factor: 3.240

3.  Relationship Between Obesity, Physical Activity, and Cardiorespiratory Fitness Levels in Children and Adolescents in Bosnia and Herzegovina: An Analysis of Gender Differences.

Authors:  Haris Pojskic; Bahareh Eslami
Journal:  Front Physiol       Date:  2018-11-28       Impact factor: 4.566

4.  Analysis of the Relationship between Tobacco Smoking and Physical Activity in Adolescence: A Gender Specific Study.

Authors:  Dora Maric; Antonino Bianco; Ivan Kvesic; Damir Sekulic; Natasa Zenic
Journal:  Medicina (Kaunas)       Date:  2021-02-27       Impact factor: 2.430

5.  Assessing the Physical Activity Questionnaire for Adolescents (PAQ-A): Specific and General Insights from an Ethiopian Context.

Authors:  Eshetu Andarge; Robert Trevethan; Teshale Fikadu
Journal:  Biomed Res Int       Date:  2021-07-14       Impact factor: 3.411

6.  Basic Psychological Needs, Physical Self-Concept, and Physical Activity Among Adolescents: Autonomy in Focus.

Authors:  Raúl Fraguela-Vale; Lara Varela-Garrote; Miriam Carretero-García; Eva María Peralbo-Rubio
Journal:  Front Psychol       Date:  2020-03-20

7.  Accelerometer-Measured Physical Activity and Sedentary Behavior Patterns in Taiwanese Adolescents.

Authors:  Wen-Yi Wang; Yu-Ling Hsieh; Ming-Chun Hsueh; Yang Liu; Yung Liao
Journal:  Int J Environ Res Public Health       Date:  2019-11-10       Impact factor: 3.390

8.  Effects of school-based physical activity and multi-micronutrient supplementation intervention on growth, health and well-being of schoolchildren in three African countries: the KaziAfya cluster randomised controlled trial protocol with a 2 × 2 factorial design.

Authors:  Markus Gerber; Serge A Ayekoé; Johanna Beckmann; Bassirou Bonfoh; Jean T Coulibaly; Dao Daouda; Rosa du Randt; Lina Finda; Stefanie Gall; Getrud J Mollel; Christin Lang; Kurt Z Long; Sebastian Ludyga; Honorati Masanja; Ivan Müller; Siphesihle Nqweniso; Fredros Okumu; Nicole Probst-Hensch; Uwe Pühse; Peter Steinmann; Sylvain G Traoré; Cheryl Walter; Jürg Utzinger
Journal:  Trials       Date:  2020-01-06       Impact factor: 2.279

9.  Waist-to-height ratio and skipping breakfast are predictive factors for high blood pressure in adolescents.

Authors:  C Aparicio-Cercós; M Alacreu; L Salar; L Moreno Royo
Journal:  Sci Rep       Date:  2020-10-07       Impact factor: 4.379

Review 10.  Subjective versus Objective Measure of Physical Activity: A Systematic Review and Meta-Analysis of the Convergent Validity of the Physical Activity Questionnaire for Children (PAQ-C).

Authors:  Danilo Marasso; Corrado Lupo; Simone Collura; Alberto Rainoldi; Paolo Riccardo Brustio
Journal:  Int J Environ Res Public Health       Date:  2021-03-25       Impact factor: 3.390

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