To develop and evaluate the reliability of a 24-hour movement behavior questionnaire for physical activity, sedentary behavior, and sleep for youth in South Korea.
Mixed-methods study using literature review, expert panels, pilot tests, and test-retest reliability.
Seoul and Gyeongg-do, South Korea.
A convenience sample of middle and high school students for a pilot test (n = 120) and reliability testing (n = 147).
Main Outcome Measures
The reliability of a 24-hour movement behavior questionnaire.
Cohen's kappa, Spearman, and intraclass correlation coefficients for test-retest reliability testing.
The questionnaire consisted of 19 questions in 5 categories: general information, sleep and nap, active transportation-related activity, school life, and free-time activities. The 24-hour movement behavior questionnaire achieved moderate reliability for all sleep, physical activity, and sedentary (r = 0.79, 0.61, 0.56). The amount of sleep, physical activity, and sedentary behavior indicated moderate-to-good rest-retest reliability, with intraclass correlation coefficients ranging from 0.54 to 0.79 (P < 0.01).
Conclusions and Implications
The 24-hour movement behavior questionnaire was reliable for measuring sleep, physical activity, and sedentary behavior in Korean adolescents aged 13–17 years. The development of this questionnaire could facilitate more accurate and useful measurements of adolescent's activities and lifestyles in South Korea.
To read this article in full you will need to make a payment
Purchase one-time access:Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
SNEB Member LoginSNEB Members, full access to the journal is a member benefit. Login via the SNEB Website to access all journal content and features.
Subscribe:Subscribe to Journal of Nutrition Education and Behavior
Already a print subscriber? Claim online access
Already an online subscriber? Sign in
Register: Create an account
Institutional Access: Sign in to ScienceDirect
- Measurement issues and poor adjustments for physical activity and sleep undermine sedentary behaviour research—the focus should shift to the balance between sleep, sedentary behaviour, standing and activity.Kinesiology. 2014; 46: 135-146
- Combined effects of time spent in physical activity, sedentary behaviors and sleep on obesity and cardio-metabolic health markers: a novel compositional data analysis approach.PLoS One. 2015; 10e0139984
- Systematic review of sedentary behaviour and health indicators in school-aged children and youth: an update.Appl Physiol Nutr Metab. 2016; 41: S240-S265
- Systematic review of the relationships between sleep duration and health indicators in school-aged children and youth.Appl Physiol Nutr Metab. 2016; 41: S266-S282
- Systematic review of the relationships between objectively measured physical activity and health indicators in school-aged children and youth.Appl Physiol Nutr Metab. 2016; 41: S197-S239
- Combinations of physical activity, sedentary behaviour and sleep: relationships with health indicators in school-aged children and youth.Appl Physiol Nutr Metab. 2016; 41: S283-S293
- Introduction to the Canadian 24-hour movement guidelines for children and youth: an integration of physical activity, sedentary behaviour, and sleep.Appl Physiol Nutr Metab. 2016; 41: iii-iiv
- Physical activity assessment in children and adolescents.Sports Med. 2001; 31: 439-454
- Using accelerometers in youth physical activity studies: a review of methods.J Phys Act Health. 2013; 10: 437-450
- Wearable-device-measured physical activity and future health risk.Nat Med. 2020; 26: 1385-1391
- Comparability of published cut-points for the assessment of physical activity: implications for data harmonization.Scand J Med Sci Sports. 2019; 29: 566-574
- Physical Activity Assessments for Health-Related Research.Human Kinetics, 2002
- Physical activity questionnaires for youth: a systematic review of measurement properties.Sports Med. 2010; 40: 539-563
- Sedentary Behavior Research Network. (SBRN) - Terminology Consensus Project process and outcome.Int J Behav Nutr Phys Act. 2017; 14: 1-17
- Results from South Korea's 2018 Report Card on physical activity for children and youth.J Exerc Sci Fit. 2019; 17: 26-33
- Results of Analysis of Quality of Life Indicators for Children and Adolescents.2019 (KOSTAT Statistics Plus; 2019.)http://kostat.go.kr/sri/srikor/srikor_pbl/4/index.board?bmode=read&aSeq=379575&pageNo=1&rowNum=10&amSeq=&sTarget=title&sTxt=Date accessed: March 20, 2021
- Canadian 24-Hour Movement Guidelines for Children and Youth. CSEP;.2016https://csepguidelines.ca/childrenandyouth517/Date accessed: May 15, 2021
- Preferred leisure type, value orientations, and psychological well-being among East Asian youth.Leis Sci. 2017; 39: 355-375
- AM last page: survey development guidance for medical education researchers.Acad Med. 2010; 85: 925
- Designing and Analysing Questionnaires and Surveys: A Manual for Health Professionals and Administrators.Whurr Publishers, 2000
- Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA statement.PLoS Med. 2009; 6e1000097
- Qualitative attributes and measurement properties of physical activity questionnaires: a checklist.Sports Med. 2010; 40: 525-537
- Developing questionnaires for educational research: AMEE Guide No. 87.Med Teach. 2014; 36: 463-474
- Applied Statistics for the Behavioral Sciences.Houghton Mifflin College Division;. 2003;
- A guideline of selecting and reporting intraclass correlation coefficients for reliability research.J Chiropr Med. 2016; 15: 155-163
- Characteristics and capabilities of self-report instruments in measuring physical activity used for Korean children and adolescents - a systematic review.Korean J Meas Eval Phys Educ Sport Sci. 2009; 11: 53-68
- A systematic review of validity and reliability evidences of sedentary behavior measures.Korean J Meas Eval Phys Educ Sport Sci. 2014; 16: 87-102
- Age-related changes in sleep/wake patterns among Korean teenagers.Pediatrics. 2005; 115: 250-256
- Reliability and validity of a questionnaire for physical activity assessment in South American children and adolescents: the SAYCARE study.Obesity. 2018; 26: S23-S30
- Design and objectives of the South American youth/child cardiovascular and environmental (SAYCARE) study.Obesity. 2018; 26: S5-S13
Hardy LL, Mihrshahi S, Drayton BA, Bauman A. NSW Schools Physical Activity and Nutrition Survey (SPANS) 2015: Full Report. NSW Department of Health; 2016.
- Methods of the NSW schools physical activity and nutrition survey (SPANS).J Sci Med Sport. 2005; 8: 284-293
- The Children's Report of Sleep Patterns (CRSP): a self-report measure of sleep for school-aged children.J Clin Sleep Med. 2013; 9: 235-245
- Reliability and validity of the Youth Leisure-Time Sedentary Behavior Questionnaire (YLSBQ).J Sci Med Sport. 2018; 21: 69-74
- Reproducibility of Adolescent Sedentary Activity Questionnaire (ASAQ) in Brazilian Adolescents.RBCDH. 2013;
- Validity and reliability of a modified English version of the physical activity questionnaire for adolescents.Arch Public Health. 2016; 74: 3
- Measuring enjoyment of physical activity in children: validation of the physical activity enjoyment scale.J Appl Sport Psychol. 2009; 21: S116-S129
- Reliability and validity of a single-item physical activity measure for adolescents.J Paediatr Child Health. 2015; 51: 787-793
- Physical Activity Epidemiology.2nd ed. Human Kinetics, 2012
- Measurement and Evaluation in Human Performance.5th ed. Human Kinetics, 2015
Published online: October 21, 2021
Accepted: August 22, 2021
Conflict of Interest Disclosure: The authors have not stated any conflicts of interest.
© 2021 Society for Nutrition Education and Behavior. Published by Elsevier Inc. All rights reserved.
ScienceDirectAccess this article on ScienceDirect
- Targeted Questionnaire DevelopmentJournal of Nutrition Education and BehaviorVol. 53Issue 12
- PreviewLast year we implemented a new article type category for Questionnaire Development. These can be found under the Collections tab on the jneb.org website. The Development and Validation of a Military Eating Survey includes 43 eating habits and 90 mediating behavior items.1 The 14 habit scales include hunger, satiety, food craving, meal pattern, restraint, diet rigidity, emotional eating, fast/slow eating rate, environmental triggers, situational eating, supplement use, and food choice; the 8 mediating factor scales include body composition strategy, perceived stress, food access, sleep habits, military fitness, physical activity, military body image, and nutrition knowledge.