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Variations in area-level disadvantage of Australian registered fitness trainers usual training locations
BACKGROUND: Leisure-time physical activity and strength training participation levels are low and socioeconomically distributed. Fitness trainers (e.g. gym/group instructors) may have a role in increasing these participation levels. However, it is not known whether the training location and characte...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4940718/ https://www.ncbi.nlm.nih.gov/pubmed/27400710 http://dx.doi.org/10.1186/s12889-016-3250-3 |
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author | Bennie, Jason A. Thornton, Lukar E. van Uffelen, Jannique G. Z. Banting, Lauren K. Biddle, Stuart J. H. |
author_facet | Bennie, Jason A. Thornton, Lukar E. van Uffelen, Jannique G. Z. Banting, Lauren K. Biddle, Stuart J. H. |
author_sort | Bennie, Jason A. |
collection | PubMed |
description | BACKGROUND: Leisure-time physical activity and strength training participation levels are low and socioeconomically distributed. Fitness trainers (e.g. gym/group instructors) may have a role in increasing these participation levels. However, it is not known whether the training location and characteristics of Australian fitness trainers vary between areas that differ in socioeconomic status. METHODS: In 2014, a sample of 1,189 Australian trainers completed an online survey with questions about personal and fitness industry-related characteristics (e.g. qualifications, setting, and experience) and postcode of their usual training location. The Australian Bureau of Statistics ‘Index of Relative Socioeconomic Disadvantage’ (IRSD) was matched to training location and used to assess where fitness professionals trained and whether their experience, qualification level and delivery methods differed by area-level disadvantage. Linear regression analysis was used to examine the relationship between IRSD score and selected characteristics adjusting for covariates (e.g. sex, age). RESULTS: Overall, 47 % of respondents worked in areas within the three least-disadvantaged deciles. In contrast, only 14.8 % worked in the three most-disadvantaged deciles. In adjusted regression models, fitness industry qualification was positively associated with a higher IRSD score (i.e. working in the least-disadvantaged areas) (Cert III: ref; Cert IV β:13.44 [95 % CI 3.86-23.02]; Diploma β:15.77 [95 % CI: 2.17-29.37]; Undergraduate β:23.14 [95 % CI: 9.41-36.86]). CONCLUSIONS: Fewer Australian fitness trainers work in areas with high levels of socioeconomic disadvantaged areas than in areas with low levels of disadvantage. A higher level of fitness industry qualifications was associated with working in areas with lower levels of disadvantage. Future research should explore the effectiveness of providing incentives that encourage more fitness trainers and those with higher qualifications to work in more socioeconomically disadvantaged areas. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12889-016-3250-3) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4940718 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-49407182016-07-13 Variations in area-level disadvantage of Australian registered fitness trainers usual training locations Bennie, Jason A. Thornton, Lukar E. van Uffelen, Jannique G. Z. Banting, Lauren K. Biddle, Stuart J. H. BMC Public Health Research Article BACKGROUND: Leisure-time physical activity and strength training participation levels are low and socioeconomically distributed. Fitness trainers (e.g. gym/group instructors) may have a role in increasing these participation levels. However, it is not known whether the training location and characteristics of Australian fitness trainers vary between areas that differ in socioeconomic status. METHODS: In 2014, a sample of 1,189 Australian trainers completed an online survey with questions about personal and fitness industry-related characteristics (e.g. qualifications, setting, and experience) and postcode of their usual training location. The Australian Bureau of Statistics ‘Index of Relative Socioeconomic Disadvantage’ (IRSD) was matched to training location and used to assess where fitness professionals trained and whether their experience, qualification level and delivery methods differed by area-level disadvantage. Linear regression analysis was used to examine the relationship between IRSD score and selected characteristics adjusting for covariates (e.g. sex, age). RESULTS: Overall, 47 % of respondents worked in areas within the three least-disadvantaged deciles. In contrast, only 14.8 % worked in the three most-disadvantaged deciles. In adjusted regression models, fitness industry qualification was positively associated with a higher IRSD score (i.e. working in the least-disadvantaged areas) (Cert III: ref; Cert IV β:13.44 [95 % CI 3.86-23.02]; Diploma β:15.77 [95 % CI: 2.17-29.37]; Undergraduate β:23.14 [95 % CI: 9.41-36.86]). CONCLUSIONS: Fewer Australian fitness trainers work in areas with high levels of socioeconomic disadvantaged areas than in areas with low levels of disadvantage. A higher level of fitness industry qualifications was associated with working in areas with lower levels of disadvantage. Future research should explore the effectiveness of providing incentives that encourage more fitness trainers and those with higher qualifications to work in more socioeconomically disadvantaged areas. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12889-016-3250-3) contains supplementary material, which is available to authorized users. BioMed Central 2016-07-11 /pmc/articles/PMC4940718/ /pubmed/27400710 http://dx.doi.org/10.1186/s12889-016-3250-3 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Bennie, Jason A. Thornton, Lukar E. van Uffelen, Jannique G. Z. Banting, Lauren K. Biddle, Stuart J. H. Variations in area-level disadvantage of Australian registered fitness trainers usual training locations |
title | Variations in area-level disadvantage of Australian registered fitness trainers usual training locations |
title_full | Variations in area-level disadvantage of Australian registered fitness trainers usual training locations |
title_fullStr | Variations in area-level disadvantage of Australian registered fitness trainers usual training locations |
title_full_unstemmed | Variations in area-level disadvantage of Australian registered fitness trainers usual training locations |
title_short | Variations in area-level disadvantage of Australian registered fitness trainers usual training locations |
title_sort | variations in area-level disadvantage of australian registered fitness trainers usual training locations |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4940718/ https://www.ncbi.nlm.nih.gov/pubmed/27400710 http://dx.doi.org/10.1186/s12889-016-3250-3 |
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