Cargando…
A cross-sectional study of geographic differences in health risk factors among young Australian adults: The role of socioeconomic position
BACKGROUND: It remains unclear why living outside of an urban environment affects aspects of health, particularly whether these differences can be explained by other factors such as socioeconomic position (SEP). The aim of this study was to compare health risk factors between metropolitan and non-me...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4300821/ https://www.ncbi.nlm.nih.gov/pubmed/25512127 http://dx.doi.org/10.1186/1471-2458-14-1278 |
_version_ | 1782353567462457344 |
---|---|
author | Patterson, Kira AE Cleland, Verity Venn, Alison Blizzard, Leigh Gall, Seana |
author_facet | Patterson, Kira AE Cleland, Verity Venn, Alison Blizzard, Leigh Gall, Seana |
author_sort | Patterson, Kira AE |
collection | PubMed |
description | BACKGROUND: It remains unclear why living outside of an urban environment affects aspects of health, particularly whether these differences can be explained by other factors such as socioeconomic position (SEP). The aim of this study was to compare health risk factors between metropolitan and non-metropolitan young Australian adults and examine whether socioeconomic position (SEP) mediates any differences. METHODS: Cross-sectional data came from an Australia-wide sample of 26–36 year-olds (n = 2567). Information on demographic characteristics, smoking, alcohol consumption, diet, physical activity (PA, mins/week) and mental health were collected by questionnaire, BMI from measured height and weight and daily steps using pedometers. Metropolitan versus non-metropolitan residence was classified from addresses. SEP included individual-level (education, occupation) and area-level measures. Prevalence ratios and ratio of means were calculated using log binomial, log multinomial and linear regression techniques. RESULTS: Non-metropolitan residents were less likely to meet 2 or more dietary guidelines, reported less leisure-time PA and active commuting but more occupational and domestic PA than metropolitan residents. Non-metropolitan women were more likely to smoke and be obese. No differences in mental health were found. After adjusting for SEP, differences remained significant except for leisure-time PA (men and women) and smoking (women). CONCLUSIONS: Living outside metropolitan areas was associated with more risk factors in these young adults. Individual SEP and area-level disadvantage generally did not explain these differences, suggesting that a focus on geographic location as its own social determinant of health, beyond SEP, is warranted. |
format | Online Article Text |
id | pubmed-4300821 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43008212015-01-22 A cross-sectional study of geographic differences in health risk factors among young Australian adults: The role of socioeconomic position Patterson, Kira AE Cleland, Verity Venn, Alison Blizzard, Leigh Gall, Seana BMC Public Health Research Article BACKGROUND: It remains unclear why living outside of an urban environment affects aspects of health, particularly whether these differences can be explained by other factors such as socioeconomic position (SEP). The aim of this study was to compare health risk factors between metropolitan and non-metropolitan young Australian adults and examine whether socioeconomic position (SEP) mediates any differences. METHODS: Cross-sectional data came from an Australia-wide sample of 26–36 year-olds (n = 2567). Information on demographic characteristics, smoking, alcohol consumption, diet, physical activity (PA, mins/week) and mental health were collected by questionnaire, BMI from measured height and weight and daily steps using pedometers. Metropolitan versus non-metropolitan residence was classified from addresses. SEP included individual-level (education, occupation) and area-level measures. Prevalence ratios and ratio of means were calculated using log binomial, log multinomial and linear regression techniques. RESULTS: Non-metropolitan residents were less likely to meet 2 or more dietary guidelines, reported less leisure-time PA and active commuting but more occupational and domestic PA than metropolitan residents. Non-metropolitan women were more likely to smoke and be obese. No differences in mental health were found. After adjusting for SEP, differences remained significant except for leisure-time PA (men and women) and smoking (women). CONCLUSIONS: Living outside metropolitan areas was associated with more risk factors in these young adults. Individual SEP and area-level disadvantage generally did not explain these differences, suggesting that a focus on geographic location as its own social determinant of health, beyond SEP, is warranted. BioMed Central 2014-12-15 /pmc/articles/PMC4300821/ /pubmed/25512127 http://dx.doi.org/10.1186/1471-2458-14-1278 Text en © Patterson et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), 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, Kira AE Cleland, Verity Venn, Alison Blizzard, Leigh Gall, Seana A cross-sectional study of geographic differences in health risk factors among young Australian adults: The role of socioeconomic position |
title | A cross-sectional study of geographic differences in health risk factors among young Australian adults: The role of socioeconomic position |
title_full | A cross-sectional study of geographic differences in health risk factors among young Australian adults: The role of socioeconomic position |
title_fullStr | A cross-sectional study of geographic differences in health risk factors among young Australian adults: The role of socioeconomic position |
title_full_unstemmed | A cross-sectional study of geographic differences in health risk factors among young Australian adults: The role of socioeconomic position |
title_short | A cross-sectional study of geographic differences in health risk factors among young Australian adults: The role of socioeconomic position |
title_sort | cross-sectional study of geographic differences in health risk factors among young australian adults: the role of socioeconomic position |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4300821/ https://www.ncbi.nlm.nih.gov/pubmed/25512127 http://dx.doi.org/10.1186/1471-2458-14-1278 |
work_keys_str_mv | AT pattersonkiraae acrosssectionalstudyofgeographicdifferencesinhealthriskfactorsamongyoungaustralianadultstheroleofsocioeconomicposition AT clelandverity acrosssectionalstudyofgeographicdifferencesinhealthriskfactorsamongyoungaustralianadultstheroleofsocioeconomicposition AT vennalison acrosssectionalstudyofgeographicdifferencesinhealthriskfactorsamongyoungaustralianadultstheroleofsocioeconomicposition AT blizzardleigh acrosssectionalstudyofgeographicdifferencesinhealthriskfactorsamongyoungaustralianadultstheroleofsocioeconomicposition AT gallseana acrosssectionalstudyofgeographicdifferencesinhealthriskfactorsamongyoungaustralianadultstheroleofsocioeconomicposition AT pattersonkiraae crosssectionalstudyofgeographicdifferencesinhealthriskfactorsamongyoungaustralianadultstheroleofsocioeconomicposition AT clelandverity crosssectionalstudyofgeographicdifferencesinhealthriskfactorsamongyoungaustralianadultstheroleofsocioeconomicposition AT vennalison crosssectionalstudyofgeographicdifferencesinhealthriskfactorsamongyoungaustralianadultstheroleofsocioeconomicposition AT blizzardleigh crosssectionalstudyofgeographicdifferencesinhealthriskfactorsamongyoungaustralianadultstheroleofsocioeconomicposition AT gallseana crosssectionalstudyofgeographicdifferencesinhealthriskfactorsamongyoungaustralianadultstheroleofsocioeconomicposition |