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Predictors of weight stigma experienced by middle-older aged, general-practice patients with obesity in disadvantaged areas of Australia: a cross-sectional study

BACKGROUND: Rates of obesity have increased globally and weight stigma is commonly experienced by people with obesity. Feeling stigmatised because of one’s weight can be a barrier to healthy eating, physical activity and to seeking help for weight management. The aim of this study was to identify pr...

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Autores principales: Spooner, Catherine, Jayasinghe, Upali W., Faruqi, Nighat, Stocks, Nigel, Harris, Mark F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5963137/
https://www.ncbi.nlm.nih.gov/pubmed/29783962
http://dx.doi.org/10.1186/s12889-018-5556-9
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author Spooner, Catherine
Jayasinghe, Upali W.
Faruqi, Nighat
Stocks, Nigel
Harris, Mark F.
author_facet Spooner, Catherine
Jayasinghe, Upali W.
Faruqi, Nighat
Stocks, Nigel
Harris, Mark F.
author_sort Spooner, Catherine
collection PubMed
description BACKGROUND: Rates of obesity have increased globally and weight stigma is commonly experienced by people with obesity. Feeling stigmatised because of one’s weight can be a barrier to healthy eating, physical activity and to seeking help for weight management. The aim of this study was to identify predictors of perceived weight among middle-older aged patients with obesity attending general practices in socioeconomically disadvantaged urban areas of Australia. METHODS: As part of a randomised clinical trial in Australia, telephone interviews were conducted with 120 patients from 17 general practices in socioeconomically disadvantaged of Sydney and Adelaide. Patients were aged 40–70 years with a BMI ≥ 30 kg/m(2). The interviews included questions relating to socio-demographic variables (e.g. gender, language spoken at home), experiences of weight-related discrimination, and the Health Literacy Questionnaire (HLQ). Multi-level logistic regression data analysis was undertaken to examine predictors of recent experiences of weight-related discrimination (“weight stigma”). RESULTS: The multi-level model showed that weight stigma was positively associated with obesity category 2 (BMI = 35 to < 40; OR 4.47 (95% CI 1.03 to 19.40)) and obesity category 3 (BMI = ≥ 40; OR 27.06 (95% CI 4.85 to 150.95)), not being employed (OR 7.70 (95% CI 2.17 to 27.25)), non-English speaking backgrounds (OR 5.74 (95% CI 1.35 to 24.45)) and negatively associated with the HLQ domain: ability to actively engage with healthcare providers (OR 0.12 (95% CI 0.05 to 0.28)). There was no association between weight stigma and gender, age, education or the other HLQ domains examined. CONCLUSIONS: Weight stigma disproportionately affected the patients with obesity most in need of support to manage their weight: those with more severe obesity, from non-English speaking backgrounds and who were not in employment. Additionally, those who had experienced weight stigma were less able to actively engage with healthcare providers further compounding their disadvantage. This suggests the need for a more proactive approach to identify weight stigma by healthcare providers. Addressing weight stigma at the individual, system and population levels is recommended. TRIAL REGISTRATION: The trial was registered with the Australian Clinical Trials Registry ACTRN126400102162.
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spelling pubmed-59631372018-06-25 Predictors of weight stigma experienced by middle-older aged, general-practice patients with obesity in disadvantaged areas of Australia: a cross-sectional study Spooner, Catherine Jayasinghe, Upali W. Faruqi, Nighat Stocks, Nigel Harris, Mark F. BMC Public Health Research Article BACKGROUND: Rates of obesity have increased globally and weight stigma is commonly experienced by people with obesity. Feeling stigmatised because of one’s weight can be a barrier to healthy eating, physical activity and to seeking help for weight management. The aim of this study was to identify predictors of perceived weight among middle-older aged patients with obesity attending general practices in socioeconomically disadvantaged urban areas of Australia. METHODS: As part of a randomised clinical trial in Australia, telephone interviews were conducted with 120 patients from 17 general practices in socioeconomically disadvantaged of Sydney and Adelaide. Patients were aged 40–70 years with a BMI ≥ 30 kg/m(2). The interviews included questions relating to socio-demographic variables (e.g. gender, language spoken at home), experiences of weight-related discrimination, and the Health Literacy Questionnaire (HLQ). Multi-level logistic regression data analysis was undertaken to examine predictors of recent experiences of weight-related discrimination (“weight stigma”). RESULTS: The multi-level model showed that weight stigma was positively associated with obesity category 2 (BMI = 35 to < 40; OR 4.47 (95% CI 1.03 to 19.40)) and obesity category 3 (BMI = ≥ 40; OR 27.06 (95% CI 4.85 to 150.95)), not being employed (OR 7.70 (95% CI 2.17 to 27.25)), non-English speaking backgrounds (OR 5.74 (95% CI 1.35 to 24.45)) and negatively associated with the HLQ domain: ability to actively engage with healthcare providers (OR 0.12 (95% CI 0.05 to 0.28)). There was no association between weight stigma and gender, age, education or the other HLQ domains examined. CONCLUSIONS: Weight stigma disproportionately affected the patients with obesity most in need of support to manage their weight: those with more severe obesity, from non-English speaking backgrounds and who were not in employment. Additionally, those who had experienced weight stigma were less able to actively engage with healthcare providers further compounding their disadvantage. This suggests the need for a more proactive approach to identify weight stigma by healthcare providers. Addressing weight stigma at the individual, system and population levels is recommended. TRIAL REGISTRATION: The trial was registered with the Australian Clinical Trials Registry ACTRN126400102162. BioMed Central 2018-05-21 /pmc/articles/PMC5963137/ /pubmed/29783962 http://dx.doi.org/10.1186/s12889-018-5556-9 Text en © The Author(s). 2018 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
Spooner, Catherine
Jayasinghe, Upali W.
Faruqi, Nighat
Stocks, Nigel
Harris, Mark F.
Predictors of weight stigma experienced by middle-older aged, general-practice patients with obesity in disadvantaged areas of Australia: a cross-sectional study
title Predictors of weight stigma experienced by middle-older aged, general-practice patients with obesity in disadvantaged areas of Australia: a cross-sectional study
title_full Predictors of weight stigma experienced by middle-older aged, general-practice patients with obesity in disadvantaged areas of Australia: a cross-sectional study
title_fullStr Predictors of weight stigma experienced by middle-older aged, general-practice patients with obesity in disadvantaged areas of Australia: a cross-sectional study
title_full_unstemmed Predictors of weight stigma experienced by middle-older aged, general-practice patients with obesity in disadvantaged areas of Australia: a cross-sectional study
title_short Predictors of weight stigma experienced by middle-older aged, general-practice patients with obesity in disadvantaged areas of Australia: a cross-sectional study
title_sort predictors of weight stigma experienced by middle-older aged, general-practice patients with obesity in disadvantaged areas of australia: a cross-sectional study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5963137/
https://www.ncbi.nlm.nih.gov/pubmed/29783962
http://dx.doi.org/10.1186/s12889-018-5556-9
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