Predictors of perceived barriers to physical activity in the general adult population: a cross-sectional study
Background: The perception of personal barriers to physical activity varies according to the sociodemographic characteristics of individuals. Objective: To determine the predictors of the perception of barriers to physical activity in the adult population. Method: A cross-sectional study with 1066 a...
- Autores:
-
Herazo-Beltrán, Yaneth
Pinillos, Yisel
Vidarte, José
Crissien, Estela
Suarez, Damaris
García, Rafael
- Tipo de recurso:
- Fecha de publicación:
- 2017
- Institución:
- Universidad Simón Bolívar
- Repositorio:
- Repositorio Digital USB
- Idioma:
- eng
- OAI Identifier:
- oai:bonga.unisimon.edu.co:20.500.12442/1898
- Acceso en línea:
- http://hdl.handle.net/20.500.12442/1898
- Palabra clave:
- Motor activity
Social support
Socioeconomic factors
Health resources
Motivation
Physical therapy
- Rights
- License
- Licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional
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Repositorio Digital USB |
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|
dc.title.eng.fl_str_mv |
Predictors of perceived barriers to physical activity in the general adult population: a cross-sectional study |
title |
Predictors of perceived barriers to physical activity in the general adult population: a cross-sectional study |
spellingShingle |
Predictors of perceived barriers to physical activity in the general adult population: a cross-sectional study Motor activity Social support Socioeconomic factors Health resources Motivation Physical therapy |
title_short |
Predictors of perceived barriers to physical activity in the general adult population: a cross-sectional study |
title_full |
Predictors of perceived barriers to physical activity in the general adult population: a cross-sectional study |
title_fullStr |
Predictors of perceived barriers to physical activity in the general adult population: a cross-sectional study |
title_full_unstemmed |
Predictors of perceived barriers to physical activity in the general adult population: a cross-sectional study |
title_sort |
Predictors of perceived barriers to physical activity in the general adult population: a cross-sectional study |
dc.creator.fl_str_mv |
Herazo-Beltrán, Yaneth Pinillos, Yisel Vidarte, José Crissien, Estela Suarez, Damaris García, Rafael |
dc.contributor.author.none.fl_str_mv |
Herazo-Beltrán, Yaneth Pinillos, Yisel Vidarte, José Crissien, Estela Suarez, Damaris García, Rafael |
dc.subject.eng.fl_str_mv |
Motor activity Social support Socioeconomic factors Health resources Motivation Physical therapy |
topic |
Motor activity Social support Socioeconomic factors Health resources Motivation Physical therapy |
description |
Background: The perception of personal barriers to physical activity varies according to the sociodemographic characteristics of individuals. Objective: To determine the predictors of the perception of barriers to physical activity in the adult population. Method: A cross-sectional study with 1066 adult women and 1036 adult men. The sociodemographic variables (age, gender, marital status, socioeconomic level, level of education), the perception of barriers that do not allow performance of physical activity (i.e. lack of time, social support, energy, motivation, skill, resources, and fear of injury during practice); and the level of physical activity through the International Physical Activity Questionnaire in its short-form version were evaluated. Results: Individuals from low socioeconomic level (1 and 2) have higher risks of perceiving barriers such as lack of motivation [OR 1.76 (95% CI (1.4---2.1))] and lack of resources [OR 1.37 (95% CI (1.1---1.6))]; individuals with partners did not perceive the lack of social support [OR 0.29 (95% CI (0.2---0.4))] and lack of motivation [OR 0.54 (95% CI (0.4---0.7))] as barriers to physical activity. Individuals with low schooling perceived lack of social support [OR 3.81 (95% CI (3---4.7))], lack of resources [OR 2.78 (95% CI (2.2---3.3))], and fear of injury [OR 2.70 (95% CI (2.2---3.3))] as barrier to physical activity. Conclusion: Factors such as socioeconomic level, marital status, level of education, and selfperception of health are predictors of barriers to physical activity. |
publishDate |
2017 |
dc.date.issued.none.fl_str_mv |
2017-01 |
dc.date.accessioned.none.fl_str_mv |
2018-03-22T14:41:39Z |
dc.date.available.none.fl_str_mv |
2018-03-22T14:41:39Z |
dc.type.eng.fl_str_mv |
article |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
dc.identifier.issn.none.fl_str_mv |
14133555 |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/20.500.12442/1898 |
identifier_str_mv |
14133555 |
url |
http://hdl.handle.net/20.500.12442/1898 |
dc.language.iso.eng.fl_str_mv |
eng |
language |
eng |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.license.spa.fl_str_mv |
Licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional |
rights_invalid_str_mv |
Licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional http://purl.org/coar/access_right/c_abf2 |
dc.publisher.eng.fl_str_mv |
Elsevier Editora Ltda. |
dc.source.eng.fl_str_mv |
Revista Brazilian Journal of Physical Therapy Vol. 21, No.1 (2017) |
institution |
Universidad Simón Bolívar |
dc.source.uri.none.fl_str_mv |
https://ac.els-cdn.com/S1413355516300065/1-s2.0-S1413355516300065-main.pdf?_tid=6f5d15e5-c5d2-44ad-8289-dcc6781b0a52&acdnat=1521672341_04215951df60dba13b5f6fda24c04742 |
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bitstream.checksumAlgorithm.fl_str_mv |
MD5 |
repository.name.fl_str_mv |
DSpace UniSimon |
repository.mail.fl_str_mv |
bibliotecas@biteca.com |
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1814076146584649728 |
spelling |
Licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2Herazo-Beltrán, Yaneth83c937eb-4d7d-46f1-8cac-4395b21a049c-1Pinillos, Yiseldbc5906e-181b-4dea-824f-163442ab1905-1Vidarte, José091b0858-ca9d-4239-81b1-c90e1db3f1dd-1Crissien, Estela6cc0222d-de56-4b88-bcee-159d548450e6-1Suarez, Damarise737de91-b368-4a7a-890f-a247609d7c98-1García, Rafaelc58bf6c2-1044-4cee-8c78-e0789a4fa34e-12018-03-22T14:41:39Z2018-03-22T14:41:39Z2017-0114133555http://hdl.handle.net/20.500.12442/1898Background: The perception of personal barriers to physical activity varies according to the sociodemographic characteristics of individuals. Objective: To determine the predictors of the perception of barriers to physical activity in the adult population. Method: A cross-sectional study with 1066 adult women and 1036 adult men. The sociodemographic variables (age, gender, marital status, socioeconomic level, level of education), the perception of barriers that do not allow performance of physical activity (i.e. lack of time, social support, energy, motivation, skill, resources, and fear of injury during practice); and the level of physical activity through the International Physical Activity Questionnaire in its short-form version were evaluated. Results: Individuals from low socioeconomic level (1 and 2) have higher risks of perceiving barriers such as lack of motivation [OR 1.76 (95% CI (1.4---2.1))] and lack of resources [OR 1.37 (95% CI (1.1---1.6))]; individuals with partners did not perceive the lack of social support [OR 0.29 (95% CI (0.2---0.4))] and lack of motivation [OR 0.54 (95% CI (0.4---0.7))] as barriers to physical activity. Individuals with low schooling perceived lack of social support [OR 3.81 (95% CI (3---4.7))], lack of resources [OR 2.78 (95% CI (2.2---3.3))], and fear of injury [OR 2.70 (95% CI (2.2---3.3))] as barrier to physical activity. Conclusion: Factors such as socioeconomic level, marital status, level of education, and selfperception of health are predictors of barriers to physical activity.engElsevier Editora Ltda.Revista Brazilian Journal of Physical TherapyVol. 21, No.1 (2017)https://ac.els-cdn.com/S1413355516300065/1-s2.0-S1413355516300065-main.pdf?_tid=6f5d15e5-c5d2-44ad-8289-dcc6781b0a52&acdnat=1521672341_04215951df60dba13b5f6fda24c04742Motor activitySocial supportSocioeconomic factorsHealth resourcesMotivationPhysical therapyPredictors of perceived barriers to physical activity in the general adult population: a cross-sectional studyarticlehttp://purl.org/coar/resource_type/c_6501World Health Organization. Global Recommendations on Physical Activity for Health; 2010. 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Percepción de dificultades para la práctica de actividad física en chicas adolescentes y su evolución con la edad. Apunts Educ Fís Deport. 2010;99(1):92---99.Bandura A. Health promotion by social cognitive means. Health Educ Behav. 2004;31(2):143---164. PMID: 15090118.Reichert FF, Barros AJ, Domingues MR, Hallal PC. The role of perceived personal barriers to engagement in leisure-time physical activity. Am J Public Health. 2007;97(3):515---519. PMID: 17267731.Arango EF, Patino FA, Quintero MA, Arenas MM. Physical activity levels, barriers, and stage of change in an urban population from a municipality in Colombia. Colomb Med. 2011;42(3):352---361.International Physical Activity Questionnaire. Guidelines for Data Processing and Analysis of the International Physical Activity Questionnaire (IPAQ), in Short and Long Forms; 2005:1---15.Ibrahim S, Karim NA, Oon LN, Ngah Z. Perceived physical activity barriers related to body weight status and sociodemographic factors among Malaysian men in Klang Valley. BMC Public Health. 2013;13(275):1---10. PMID: 23530696.Bouma A, Wilgen P, Dijkstra A. The barrier-belief approach in the counseling of physical activity. Patient Educ Couns. 2015;98(2):129---136. PMID: 25455791.Moore SC, Patel AV, Matthews CE, et al. Leisure time physical activity of moderate to vigorous intensity and mortality: a large pooled cohort analysis. PLoS Med. 2012;9(11):1---14. PMID: 23139642.Costello E, Kafchinski M, Vrazel J, Sullivan P. Motivators, barriers, and beliefs regarding physical activity in an older adult population. J Geriatr Phys Ther. 2011;34(3):138---147. PMID: 21937904.Brinthaupt T, Kang M, Anshel M. A delivery model for overcoming psycho-behavioral barriers to exercise. Psychol Sport Exerc. 2010;11:259---266.Instituto Colombiano de Bienestar Familiar. Encuesta Nacional de la Situación Nutricional en Colombia 2010. Bogotá: ENSIN; 2010 http://www.icbf.gov.co/portal/page/portal/ PortalICBF/Bienestar/ENSIN1/ENSIN2010/LibroENSIN2010.pdf.Uribe BX, Agudelo CC. Inactividad física y factores de riesgo: aproximación a un modelo interpretativo para Bogotá. Rev Salud Pública. 2011;13(4):597---609.Triviño VZ. Conductas promotoras de salud en estudiantes de una institución de educación superior. Aquichan. 2012;12(3):275---285.Martínez J, Jiménez BJ, Campos A, Del Hierro D, Martín M, González MD. Barreras organizativas y sociales para la práctica de actividad física en la vejez. Motricidad: Eur J Hum Mov. 2007;19:13---35.Serra Puyal JR, Generedlo E, Zaragoza J. Barreras para la realización de la actividad física en adolescentes en la provincia de Huesca. Rev Int Med Act Fis Deporte. 2010;10(39):470---482.Herazo BA, Crissien QE, Vidarte CJ, Pinillos YP, Suárez PD. Factores asociados a la inactividad física en personas de 18 a 69 a˜nos del Distrito de Barranquilla. 1a ed. Barranquilla: Ediciones Universidad Simón Bolívar; 2013.Pinillos YP, Herazo BA, Vidarte CJ, Suárez PD, Crissien QE, Rodríguez PC. Factores asociados a la inactividad física en personas adultas de Barranquilla (Colombia). Salud Uninorte Barranquilla. 2014;30(3):418---430.LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://bonga.unisimon.edu.co/bitstreams/0b076d70-37d3-4cef-a72f-016db0ff933a/download8a4605be74aa9ea9d79846c1fba20a33MD5220.500.12442/1898oai:bonga.unisimon.edu.co:20.500.12442/18982019-04-11 21:51:29.858metadata.onlyhttps://bonga.unisimon.edu.coDSpace UniSimonbibliotecas@biteca.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 |