Agreement Between Self-Reported and Device-Based Sedentary Time among Eight Countries: Findings from the ELANS.

Accelerometry Epidemiology Questionnaire Sedentary lifestyle

Journal

Prevention science : the official journal of the Society for Prevention Research
ISSN: 1573-6695
Titre abrégé: Prev Sci
Pays: United States
ID NLM: 100894724

Informations de publication

Date de publication:
11 2021
Historique:
accepted: 04 01 2021
pubmed: 28 1 2021
medline: 26 11 2021
entrez: 27 1 2021
Statut: ppublish

Résumé

The purpose of this study was to analyze the agreement between self-reported and device-based sedentary time among eight countries in Latin America. As part of the Latin American Study of Nutrition and Health (ELANS), data were collected from 2524 participants (18-65 years) across eight countries. Participants reported time spent sedentary in different activities (computer use at home, videogame use, reading, sitting down to chat with friends/relatives or listening to music, speaking on the phone, watching TV, and riding in a car). Overall sitting time was assessed using a single item from the International Physical Activity Questionnaire (IPAQ). Device-based sedentary time was assessed using Actigraph GT3X accelerometers. Self-reported overall sitting time (227.1 min/day) produced the lowest values of the three assessment methods, followed by self-reported sum of different types of sedentary behavior (364.1 min/day) and device-based sedentary time (568.6 min/day). Overall, correlation coefficients and ICC varied from weak to moderate (rho: 0.25-0.39; ICC: 0.21:0.39) between self-reported sum of different types of sedentary behavior, self-reported overall sitting time, and device-based sedentary time. The Bland-Altman plots indicated low to moderate agreement between self-reported overall sitting time and device-based sedentary time by sex. Self-report measures underestimate sedentary behavior and overall sitting time when compared with device-based measures. The weak and moderate level of agreement between methods indicates that caution is required when comparing associations between different self-report and device-based measures of sedentary behavior with health outcomes.

Identifiants

pubmed: 33502675
doi: 10.1007/s11121-021-01206-x
pii: 10.1007/s11121-021-01206-x
doi:

Banques de données

ClinicalTrials.gov
['NCT02226627']

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1036-1047

Informations de copyright

© 2021. Society for Prevention Research.

Références

Bakker, E. A., Hopman, M. T. E., Lee, D. C., Verbeek, A. L. M., Thijssen, D. H. J., & Eijsvogels, T. M. H. (2020). Correlates of Total and domain-specific sedentary behavior: A cross-sectional study in Dutch adults. BMC Public Health, 20, 220. https://doi.org/10.1186/s12889-020-8316-6 .
doi: 10.1186/s12889-020-8316-6 pubmed: 32050958 pmcid: 7017477
Bauman, A., Ainsworth, B. E., Sallis, J. F., Hagstromer, M., Craig, C. L., Bull, F. C., et al. (2011). The descriptive epidemiology of sitting. A 20-country comparison using the international physical activity questionnaire (IPAQ). American Journal of Preventive Medicine, 41, 228–235. https://doi.org/10.1016/j.amepre.2011.05.003 .
doi: 10.1016/j.amepre.2011.05.003 pubmed: 21767731
Biswas, A., Oh, P. I., Faulkner, G. E., Bajaj, R. R., Silver, M. A., Mitchell, M. S., et al. (2015). Sedentary time and its association with risk for disease incidence, mortality, and hospitalization in adults: A systematic review and meta-analysis. Annals of Internal Medicine, 162, 123–132. https://doi.org/10.7326/M14-1651 .
doi: 10.7326/M14-1651 pubmed: 25599350
Bland, J. M., & Altman, D. G. (1999). Measuring agreement in method comparison studies. Statistical Methods in Medical Research, 8, 135–160. https://doi.org/10.1177/096228029900800204 .
doi: 10.1177/096228029900800204 pubmed: 10501650
Brond, J. C., & Arvidsson, D. (2016). Sampling frequency affects the processing of Actigraph raw acceleration data to activity counts. Journal of Applied Physiology (Bethesda, MD: 1985), 120, 362–369. https://doi.org/10.1152/japplphysiol.00628.2015 .
doi: 10.1152/japplphysiol.00628.2015
Chastin, S. F. M., Dontje, M. L., Skelton, D. A., Cukic, I., Shaw, R. J., Gill, J. M. R., et al. (2018). Systematic comparative validation of self-report measures of sedentary time against an objective measure of postural sitting (activPAL). International Journal of Behavioral Nutrition and Physical Activity, 15, 21. https://doi.org/10.1186/s12966-018-0652-x .
doi: 10.1186/s12966-018-0652-x
Chau, J. Y., van der Ploeg, H. P., Dunn, S., Kurko, J., & Bauman, A. E. (2011). A tool for measuring workers' sitting time by domain: The workforce sitting questionnaire. British Journal of Sports Medicine, 45, 1216–1222. https://doi.org/10.1136/bjsports-2011-090214 .
doi: 10.1136/bjsports-2011-090214 pubmed: 21947817
Chau, J. Y., Grunseit, A. C., Chey, T., Stamatakis, E., Brown, W. J., Matthews, C. E., et al. (2013). Daily sitting time and all-cause mortality: A meta-analysis. PLoS One, 8, e80000. https://doi.org/10.1371/journal.pone.0080000 .
doi: 10.1371/journal.pone.0080000 pubmed: 24236168 pmcid: 3827429
Clark, B., Winkler, E., Sugiyama, T., Matthews, C.E., & Owen, N. E. A.. Television viewing as a marker of overall objectively measured sedentary time in working and non-working women and men. NHANES. . Journal of Science and Medicine in Sport 2010; 12:e205–e206.
Clark, B. K., Lynch, B. M., Winkler, E. A., Gardiner, P. A., Healy, G. N., Dunstan, D. W., et al. (2015). Validity of a multi-context sitting questionnaire across demographically diverse population groups: AusDiab3. International Journal of Behavioral Nutrition and Physical Activity, 12, 148. https://doi.org/10.1186/s12966-015-0309-y .
doi: 10.1186/s12966-015-0309-y
Colley, R. C., Butler, G., Garriguet, D., Prince, S. A., & Roberts, K. C. (2018). Comparison of self-reported and accelerometer-measured physical activity in Canadian adults. Health Reports, 29, 3–15.
pubmed: 30566204
Corp, I. B. M. (2013). IBM SPSS statistics for windows, version 22.0. Armonk, NY: IBM Corp.
Craig, C. L., Marshall, A. L., Sjostrom, M., Bauman, A. E., Booth, M. L., Ainsworth, B. E., et al. (2003). International physical activity questionnaire: 12-country reliability and validity. Medicine and Science in Sports and Exercise, 35, 1381–1395. https://doi.org/10.1249/01.MSS.0000078924.61453.FB .
doi: 10.1249/01.MSS.0000078924.61453.FB pubmed: 12900694
Ekelund, U., Steene-Johannessen, J., Brown, W. J., Fagerland, M. W., Owen, N., Powell, K. E., et al. (2016). Does physical activity attenuate, or even eliminate, the detrimental association of sitting time with mortality? A harmonised meta-analysis of data from more than 1 million men and women. Lancet, 388, 1302–1310. https://doi.org/10.1016/S0140-6736(16)30370-1 .
doi: 10.1016/S0140-6736(16)30370-1 pubmed: 27475271
Ekelund, U., Tarp, J., Steene-Johannessen, J., Hansen, B. H., Jefferis, B., Fagerland, M. W., et al. (2019). Dose-response associations between accelerometry measured physical activity and sedentary time and all cause mortality: Systematic review and harmonised meta-analysis. BMJ, 366, l4570. https://doi.org/10.1136/bmj.l4570 .
doi: 10.1136/bmj.l4570 pubmed: 31434697 pmcid: 6699591
Ferrari, G. L. M., Kovalskys, I., Fisberg, M., Gomez, G., Rigotti, A., Sanabria, L. Y. C., et al. (2020a). Socio-demographic patterning of objectively measured physical activity and sedentary behaviours in eight Latin American countries: Findings from the ELANS study. European Journal of Sport Science, 20, 670–681. https://doi.org/10.1080/17461391.2019.1678671 .
doi: 10.1080/17461391.2019.1678671 pubmed: 31603392
Ferrari, G. L. M., Kovalskys, I., Fisberg, M., Gomez, G., Rigotti, A., Sanabria, L. Y. C., et al. (2020b). Comparison of self-report versus accelerometer - measured physical activity and sedentary behaviors and their association with body composition in Latin American countries. PLoS One, 15, e0232420. https://doi.org/10.1371/journal.pone.0232420 .
doi: 10.1371/journal.pone.0232420 pubmed: 32343753 pmcid: 7188285
Ferrari, G. L. M., Kovalskys, I., Fisberg, M., Gomez, G., Rigotti, A., Sanabria, L. Y. C., et al. (2020c). Methodological design for the assessment of physical activity and sedentary time in eight Latin American countries - the ELANS study. MethodsX, 7, 100843. https://doi.org/10.1016/j.mex.2020.100843 .
doi: 10.1016/j.mex.2020.100843 pubmed: 32211304 pmcid: 7082600
Fisberg, M., Kovalskys, I., Gomez, G., Rigotti, A., Cortes, L. Y., Herrera-Cuenca, M., et al. (2016). Latin American study of nutrition and health (ELANS): Rationale and study design. BMC Public Health, 16, 93. https://doi.org/10.1186/s12889-016-2765-y .
doi: 10.1186/s12889-016-2765-y pubmed: 26829928 pmcid: 4736497
Guthold, R., Stevens, G. A., Riley, L. M., & Bull, F. C. (2018). Worldwide trends in insufficient physical activity from 2001 to 2016: A pooled analysis of 358 population-based surveys with 1.9 million participants. The Lancet Global Health, 6, e1077–e1086. https://doi.org/10.1016/S2214-109X(18)30357-7 .
doi: 10.1016/S2214-109X(18)30357-7 pubmed: 30193830
Hinkle, D. E., Wiersma, W., Jurs, S.G. (2002). Applied Statistics for the Behavioral Sciences: CENGAGE learning.
Ishii, K., Shibata, A., Kurita, S., Yano, S., Inoue, S., Sugiyama, T., et al. (2018). Validity and reliability of Japanese-language self-reported measures for assessing adults domain-specific sedentary time. Journal of Epidemiology, 28, 149–155. https://doi.org/10.2188/jea.JE20170002 .
doi: 10.2188/jea.JE20170002 pubmed: 29093359 pmcid: 5821692
Kerr, J., Marshall, S. J., Godbole, S., Chen, J., Legge, A., Doherty, A. R., et al. (2013). Using the SenseCam to improve classifications of sedentary behavior in free-living settings. American Journal of Preventive Medicine, 44, 290–296. https://doi.org/10.1016/j.amepre.2012.11.004 .
doi: 10.1016/j.amepre.2012.11.004 pubmed: 23415127
Koo, T. K., & Li, M. Y. (2016). A guideline of selecting and reporting Intraclass correlation coefficients for reliability research. Journal of Chiropractic Medicine, 15, 155–163. https://doi.org/10.1016/j.jcm.2016.02.012 .
doi: 10.1016/j.jcm.2016.02.012 pubmed: 27330520 pmcid: 4913118
Landis, J. R., & Koch, G. G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33, 159–174.
doi: 10.2307/2529310
Lohman, T. G., Roche, A. F., & Martorell, R. (1988). Anthropometric standardization reference manual. Vol. 24 (3rd ed.). Champaign: Human Kinetics Press.
Loyen, A., Clarke-Cornwell, A. M., Anderssen, S. A., Hagstromer, M., Sardinha, L. B., Sundquist, K., et al. (2017). Sedentary time and physical activity surveillance through accelerometer pooling in four European countries. Sports Medicine, 47, 1421–1435. https://doi.org/10.1007/s40279-016-0658-y .
doi: 10.1007/s40279-016-0658-y pubmed: 27943147
Matthews, C. E., Chen, K. Y., Freedson, P. S., Buchowski, M. S., Beech, B. M., Pate, R. R., et al. (2008). Amount of time spent in sedentary behaviors in the United States, 2003-2004. American Journal of Epidemiology, 167, 875–881. https://doi.org/10.1093/aje/kwm390 .
doi: 10.1093/aje/kwm390 pubmed: 18303006
NCHS (1996). National Center for Health Statistics (NCHS). Analytic and reporting guidelines: The third national health and nutrition examination survey, NHANES III (1988–94). Prevention, 1–47.
de Onis, M., Onyango, A. W., Borghi, E., Siyam, A., Nishida, C., & Siekmann, J. (2007). Development of a WHO growth reference for school-aged children and adolescents. Bulletin of the World Health Organization, 85, 660–667. https://doi.org/10.2471/blt.07.043497 .
doi: 10.2471/blt.07.043497 pubmed: 18026621 pmcid: 2636412
Owen, N., Healy, G. N., Dempsey, P. C., Salmon, J., Timperio, A., Clark, B. K., et al. (2020). Sedentary behavior and public health: Integrating the evidence and identifying potential solutions. Annual Review of Public Health, 41, 265–287. https://doi.org/10.1146/annurev-publhealth-040119-094201 .
doi: 10.1146/annurev-publhealth-040119-094201 pubmed: 31913771
Pandey, A., Salahuddin, U., Garg, S., Ayers, C., Kulinski, J., Anand, V., et al. (2016). Continuous dose-response association between sedentary time and risk for cardiovascular disease: A meta-analysis. JAMA Cardiology, 1, 575–583. https://doi.org/10.1001/jamacardio.2016.1567 .
doi: 10.1001/jamacardio.2016.1567 pubmed: 27434872
Parsons, T. J., Sartini, C., Ellins, E. A., Halcox, J. P. J., Smith, K. E., Ash, S., et al. (2016). Objectively measured physical activity, sedentary time and subclinical vascular disease: Cross-sectional study in older British men. Preventive Medicine, 89, 194–199. https://doi.org/10.1016/j.ypmed.2016.05.031 .
doi: 10.1016/j.ypmed.2016.05.031 pubmed: 27261410 pmcid: 4976831
Patterson, R., McNamara, E., Tainio, M., de Sa, T. H., Smith, A. D., Sharp, S. J., et al. (2018). Sedentary behaviour and risk of all-cause, cardiovascular and cancer mortality, and incident type 2 diabetes: A systematic review and dose response meta-analysis. European Journal of Epidemiology, 33, 811–829. https://doi.org/10.1007/s10654-018-0380-1 .
doi: 10.1007/s10654-018-0380-1 pubmed: 29589226 pmcid: 6133005
Prince, S. A., LeBlanc, A. G., Colley, R. C., & Saunders, T. J. (2017). Measurement of sedentary behaviour in population health surveys: A review and recommendations. PeerJ, 5, e4130. https://doi.org/10.7717/peerj.4130 .
doi: 10.7717/peerj.4130 pubmed: 29250468 pmcid: 5729819
Prince, S. A., Cardilli, L., Reed, J. L., Saunders, T. J., Kite, C., Douillette, K., et al. (2020). A comparison of self-reported and device measured sedentary behaviour in adults: A systematic review and meta-analysis. International Journal of Behavioral Nutrition and Physical Activity, 17, 31. https://doi.org/10.1186/s12966-020-00938-3 .
doi: 10.1186/s12966-020-00938-3
Ross, R., Chaput, J. P., Giangregorio, L. M., Janssen, I., Saunders, T. J., Kho, M. E., et al. (2020). Canadian 24-hour movement guidelines for adults aged 18-64 years and adults aged 65 years or older: An integration of physical activity, sedentary behaviour, and sleep. Appl Physiol Nutr Metab, 45, S57-S102, https://doi.org/10.1139/apnm-2020-0467 .
Salmon, J., Owen, N., Crawford, D., Bauman, A., & Sallis, J. F. (2003). Physical activity and sedentary behavior: A population-based study of barriers, enjoyment, and preference. Health Psychology, 22, 178–188. https://doi.org/10.1037//0278-6133.22.2.178 .
doi: 10.1037//0278-6133.22.2.178 pubmed: 12683738
Scholes, S., Bridges, S., Ng Fat, L., & Mindell, J. S. (2016). Comparison of the physical activity and sedentary behaviour assessment questionnaire and the short-form international physical activity questionnaire: An analysis of health survey for England data. PLoS One, 11, e0151647. https://doi.org/10.1371/journal.pone.0151647 .
doi: 10.1371/journal.pone.0151647 pubmed: 26990093 pmcid: 4798726
Tremblay, M. S., Aubert, S., Barnes, J. D., Saunders, T. J., Carson, V., Latimer-Cheung, A. E., et al. (2017). Sedentary behavior research network (SBRN) - terminology consensus project process and outcome. International Journal of Behavioral Nutrition and Physical Activity, 14, 75. https://doi.org/10.1186/s12966-017-0525-8 .
doi: 10.1186/s12966-017-0525-8
Troiano, R. P., Berrigan, D., Dodd, K. W., Masse, L. C., Tilert, T., & McDowell, M. (2008). Physical activity in the United States measured by accelerometer. Medicine and Science in Sports and Exercise, 40, 181–188. https://doi.org/10.1249/mss.0b013e31815a51b3 .
doi: 10.1249/mss.0b013e31815a51b3 pubmed: 18091006
Van Dyck, D., Cerin, E., Akram, M., Conway, T. L., Macfarlane, D., Davey, R., et al. (2020). Do physical activity and sedentary time mediate the association of the perceived environment with BMI? The IPEN adult study. Health & Place, 64, 102366. https://doi.org/10.1016/j.healthplace.2020.102366 .
doi: 10.1016/j.healthplace.2020.102366
World Health Organization (1998). Obesity: preventing and managing the global epidemic. WHO Technical Report Series, 894. Geneva.
World Health Organization (2019). Process of translation and adaptation of instruments. Accessed on 26 Diciember 2019, at: https://www.who.int/substance_abuse/research_tools/translation/en/ . .
Young, D. R., Hivert, M. F., Alhassan, S., Camhi, S. M., Ferguson, J. F., Katzmarzyk, P. T., et al. (2016). Sedentary behavior and cardiovascular morbidity and mortality: A science advisory from the American Heart Association. Circulation, 134, e262–e279. https://doi.org/10.1161/CIR.0000000000000440 .
doi: 10.1161/CIR.0000000000000440 pubmed: 27528691

Auteurs

Gerson Ferrari (G)

Laboratorio de Ciencias de la Actividad Física, el Deporte y la Salud, Facultad de Ciencias Médicas, Universidad de Santiago de Chile, USACH, Las Sophoras 175, Estación Central, Santiago, Chile. gerson.demoraes@usach.cl.

André O Werneck (AO)

Department of Nutrition, School of Public Health, Universidade de São Paulo (USP), São Paulo, Brazil.

Danilo R Silva (DR)

Department of Physical Education, Federal University of Sergipe - UFS, São Cristóvão, Brazil.

Irina Kovalskys (I)

Carrera de Nutrición, Facultad de Ciencias Médicas, Pontificia Universidad Católica Argentina, Buenos Aires, Argentina.

Georgina Gómez (G)

Departamento de Bioquímica, Escuela de Medicina, Universidad de Costa Rica, San José, Costa Rica.

Attilio Rigotti (A)

Centro de Nutrición Molecular y Enfermedades Crónicas, Departamento de Nutrición, Diabetes y Metabolismo, Escuela de Medicina, Pontificia Universidad Católica, Santiago, Chile.

Lilia Yadira Cortés (LY)

Departamento de Nutrición y Bioquímica, Pontificia Universidad Javeriana, Bogotá, Colombia.

Martha Yépez García (MY)

Colégio de Ciencias de la Salud, Universidad San Francisco de Quito, Quito, Ecuador.

María Liria (M)

Instituto de Investigación Nutricional, La Molina, Lima, Peru.

Marianella Herrera-Cuenca (M)

Centro de Estudios del Desarrollo, Universidad Central de Venezuela (CENDES-UCV)/Fundación Bengoa, Caracas, Venezuela.

Ioná Zalcman Zimberg (IZ)

Departamento de Psicobiologia, Universidade Federal de São Paulo, São Paulo, Brazil.

Viviana Guajardo (V)

Carrera de Nutrición, Facultad de Ciencias Médicas, Pontificia Universidad Católica Argentina, Buenos Aires, Argentina.

Michael Pratt (M)

Institute for Public Health, University of California San Diego, La Jolla, CA, USA.

Carlos Cristi-Montero (C)

IRyS Group, Physical Education School, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile.

Adilson Marques (A)

CIPER, Faculty of Human Kinetics, University of Lisbon, Lisbon, Portugal.
ISAMB, University of Lisbon, Lisbon, Portugal.

Miguel Peralta (M)

CIPER, Faculty of Human Kinetics, University of Lisbon, Lisbon, Portugal.
ISAMB, University of Lisbon, Lisbon, Portugal.

Cristian Cofre Bolados (CC)

Laboratorio de Ciencias de la Actividad Física, el Deporte y la Salud, Facultad de Ciencias Médicas, Universidad de Santiago de Chile, USACH, Las Sophoras 175, Estación Central, Santiago, Chile.

Ana Carolina B Leme (ACB)

Department of Nutrition, School of Public Health, Universidade de São Paulo (USP), São Paulo, Brazil.
Family Relations and Applied Nutrition, University of Guelph, Guelph, Canada.
Instituto Pensi, Fundação José Luiz Egydio Setubal, Hospital Infantil Sabará, São Paulo, Brazil.

Scott Rollo (S)

Healthy Active Living and Obesity (HALO) Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada.
School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada.

Mauro Fisberg (M)

Instituto Pensi, Fundação José Luiz Egydio Setubal, Hospital Infantil Sabará, São Paulo, Brazil.
Departamento de Pediatria da Universidade Federal de São Paulo, São Paulo, Brazil.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH