Cargando…
The relationship between BMI and the prescription of anti-obesity medication according to social factors: a population cross sectional study
BACKGROUND: Obesity is a global public health problem. There are a range of treatments available with varying short and long term success rates. One option is the use of anti-obesity medication the prescription of which has increased dramatically in recent years. Despite this, little is known about...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3914727/ https://www.ncbi.nlm.nih.gov/pubmed/24472650 http://dx.doi.org/10.1186/1471-2458-14-87 |
_version_ | 1782302454601220096 |
---|---|
author | Patterson, Lynsey Kee, Frank Hughes, Carmel O’Reilly, Dermot |
author_facet | Patterson, Lynsey Kee, Frank Hughes, Carmel O’Reilly, Dermot |
author_sort | Patterson, Lynsey |
collection | PubMed |
description | BACKGROUND: Obesity is a global public health problem. There are a range of treatments available with varying short and long term success rates. One option is the use of anti-obesity medication the prescription of which has increased dramatically in recent years. Despite this, little is known about the individual and GP practice factors that influence the prescription of anti-obesity medication. METHODS: Multi-level logistic regression analysis was used to investigate factors associated with the prescription of anti-obesity medication in Northern Ireland using a population primary care prescribing database (~1.5 million people aged 16+ years) during 2009/10. RESULTS: While 25.0% of people are obese, only 1.3% (2.1% of females, 0.6% of males) received anti-obesity medication. The relationship between medication rates and age differed by gender (P < 0.001) with prescriptions higher in younger females and older males. Prescribing of anti-obesity medication reflected obesity prevalence across urban/rural areas and deprivation. There was an unexplained two-fold difference, between the 25(th) and 75(th) percentile, in the GP practice prescription of anti-obesity medication. CONCLUSIONS: There is evidence of relative under-prescribing in males compared to females despite a similar prevalence of obesity. While the prevalence (and presumably the health consequences) of obesity worsens with age, younger females are more likely to be prescribed anti-obesity medication. This suggests an element of patient demand. Educational material to improve the understanding of the role of anti-obesity medication, for patients and practitioners, is recommended. But further study is needed to understand the factors responsible for the variation in prescribing between GP practices. |
format | Online Article Text |
id | pubmed-3914727 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-39147272014-02-06 The relationship between BMI and the prescription of anti-obesity medication according to social factors: a population cross sectional study Patterson, Lynsey Kee, Frank Hughes, Carmel O’Reilly, Dermot BMC Public Health Research Article BACKGROUND: Obesity is a global public health problem. There are a range of treatments available with varying short and long term success rates. One option is the use of anti-obesity medication the prescription of which has increased dramatically in recent years. Despite this, little is known about the individual and GP practice factors that influence the prescription of anti-obesity medication. METHODS: Multi-level logistic regression analysis was used to investigate factors associated with the prescription of anti-obesity medication in Northern Ireland using a population primary care prescribing database (~1.5 million people aged 16+ years) during 2009/10. RESULTS: While 25.0% of people are obese, only 1.3% (2.1% of females, 0.6% of males) received anti-obesity medication. The relationship between medication rates and age differed by gender (P < 0.001) with prescriptions higher in younger females and older males. Prescribing of anti-obesity medication reflected obesity prevalence across urban/rural areas and deprivation. There was an unexplained two-fold difference, between the 25(th) and 75(th) percentile, in the GP practice prescription of anti-obesity medication. CONCLUSIONS: There is evidence of relative under-prescribing in males compared to females despite a similar prevalence of obesity. While the prevalence (and presumably the health consequences) of obesity worsens with age, younger females are more likely to be prescribed anti-obesity medication. This suggests an element of patient demand. Educational material to improve the understanding of the role of anti-obesity medication, for patients and practitioners, is recommended. But further study is needed to understand the factors responsible for the variation in prescribing between GP practices. BioMed Central 2014-01-28 /pmc/articles/PMC3914727/ /pubmed/24472650 http://dx.doi.org/10.1186/1471-2458-14-87 Text en Copyright © 2014 Patterson et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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 Patterson, Lynsey Kee, Frank Hughes, Carmel O’Reilly, Dermot The relationship between BMI and the prescription of anti-obesity medication according to social factors: a population cross sectional study |
title | The relationship between BMI and the prescription of anti-obesity medication according to social factors: a population cross sectional study |
title_full | The relationship between BMI and the prescription of anti-obesity medication according to social factors: a population cross sectional study |
title_fullStr | The relationship between BMI and the prescription of anti-obesity medication according to social factors: a population cross sectional study |
title_full_unstemmed | The relationship between BMI and the prescription of anti-obesity medication according to social factors: a population cross sectional study |
title_short | The relationship between BMI and the prescription of anti-obesity medication according to social factors: a population cross sectional study |
title_sort | relationship between bmi and the prescription of anti-obesity medication according to social factors: a population cross sectional study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3914727/ https://www.ncbi.nlm.nih.gov/pubmed/24472650 http://dx.doi.org/10.1186/1471-2458-14-87 |
work_keys_str_mv | AT pattersonlynsey therelationshipbetweenbmiandtheprescriptionofantiobesitymedicationaccordingtosocialfactorsapopulationcrosssectionalstudy AT keefrank therelationshipbetweenbmiandtheprescriptionofantiobesitymedicationaccordingtosocialfactorsapopulationcrosssectionalstudy AT hughescarmel therelationshipbetweenbmiandtheprescriptionofantiobesitymedicationaccordingtosocialfactorsapopulationcrosssectionalstudy AT oreillydermot therelationshipbetweenbmiandtheprescriptionofantiobesitymedicationaccordingtosocialfactorsapopulationcrosssectionalstudy AT pattersonlynsey relationshipbetweenbmiandtheprescriptionofantiobesitymedicationaccordingtosocialfactorsapopulationcrosssectionalstudy AT keefrank relationshipbetweenbmiandtheprescriptionofantiobesitymedicationaccordingtosocialfactorsapopulationcrosssectionalstudy AT hughescarmel relationshipbetweenbmiandtheprescriptionofantiobesitymedicationaccordingtosocialfactorsapopulationcrosssectionalstudy AT oreillydermot relationshipbetweenbmiandtheprescriptionofantiobesitymedicationaccordingtosocialfactorsapopulationcrosssectionalstudy |