Cargando…

Multilevel Analysis of Socioeconomic Determinants on Diabetes Prevalence, Awareness, Treatment and Self-Management in Ethnic Minorities of Yunnan Province, China

Objectives: The objective of this manuscript is to investigate socioeconomic differences in prevalence, awareness, treatment and self-management of diabetes among ethnic minority groups in Yunnan Province, China. Methods: We conducted a cross-sectional survey in a sample of 5532 Na Xi, Li Su, Dai an...

Descripción completa

Detalles Bibliográficos
Autores principales: Su, Rong, Cai, Le, Cui, Wenlong, He, Jianhui, You, Dingyun, Golden, Allison
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4997437/
https://www.ncbi.nlm.nih.gov/pubmed/27463725
http://dx.doi.org/10.3390/ijerph13080751
_version_ 1782449773963378688
author Su, Rong
Cai, Le
Cui, Wenlong
He, Jianhui
You, Dingyun
Golden, Allison
author_facet Su, Rong
Cai, Le
Cui, Wenlong
He, Jianhui
You, Dingyun
Golden, Allison
author_sort Su, Rong
collection PubMed
description Objectives: The objective of this manuscript is to investigate socioeconomic differences in prevalence, awareness, treatment and self-management of diabetes among ethnic minority groups in Yunnan Province, China. Methods: We conducted a cross-sectional survey in a sample of 5532 Na Xi, Li Su, Dai and Jing Po ethnic minorities. Multilevel modeling was used to estimate odds ratios (OR) and 95% confidence intervals (CI) for diabetes prevalence, as well as the other outcomes. Results: Higher individual educational level was associated with a higher rate of awareness, treatment, adherence to medicines and monitoring of blood glucose (OR = 1.87, 4.89, 4.83, 6.45; 95% CI: 1.26–2.77, 1.87–12.7, 1.95–11.9, 2.23–18.6, respectively). Diabetic respondents with better household assets tended to receive more treatment (OR = 2.81, 95% CI: 1.11–7.12) and to monitor their blood glucose (OR = 3.29, 95% CI: 1.48–7.30). Diabetic patients with better access to medical services were more likely to treat (OR = 7.09, 95% CI: 2.46–20.4) and adhere to medication (OR = 4.14, 95% CI: 1.46–11.7). Income at the contextual level was significantly correlated with diabetes prevalence, treatment and blood glucose monitoring (OR = 1.84, 3.04, 4.34; 95% CI: 1.20–2.83, 1.20–7.73, 1.45–13.0, respectively). Conclusions: Future diabetes prevention and intervention programs should take both individual and township-level socioeconomic factors into account in the study regions.
format Online
Article
Text
id pubmed-4997437
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-49974372016-08-26 Multilevel Analysis of Socioeconomic Determinants on Diabetes Prevalence, Awareness, Treatment and Self-Management in Ethnic Minorities of Yunnan Province, China Su, Rong Cai, Le Cui, Wenlong He, Jianhui You, Dingyun Golden, Allison Int J Environ Res Public Health Article Objectives: The objective of this manuscript is to investigate socioeconomic differences in prevalence, awareness, treatment and self-management of diabetes among ethnic minority groups in Yunnan Province, China. Methods: We conducted a cross-sectional survey in a sample of 5532 Na Xi, Li Su, Dai and Jing Po ethnic minorities. Multilevel modeling was used to estimate odds ratios (OR) and 95% confidence intervals (CI) for diabetes prevalence, as well as the other outcomes. Results: Higher individual educational level was associated with a higher rate of awareness, treatment, adherence to medicines and monitoring of blood glucose (OR = 1.87, 4.89, 4.83, 6.45; 95% CI: 1.26–2.77, 1.87–12.7, 1.95–11.9, 2.23–18.6, respectively). Diabetic respondents with better household assets tended to receive more treatment (OR = 2.81, 95% CI: 1.11–7.12) and to monitor their blood glucose (OR = 3.29, 95% CI: 1.48–7.30). Diabetic patients with better access to medical services were more likely to treat (OR = 7.09, 95% CI: 2.46–20.4) and adhere to medication (OR = 4.14, 95% CI: 1.46–11.7). Income at the contextual level was significantly correlated with diabetes prevalence, treatment and blood glucose monitoring (OR = 1.84, 3.04, 4.34; 95% CI: 1.20–2.83, 1.20–7.73, 1.45–13.0, respectively). Conclusions: Future diabetes prevention and intervention programs should take both individual and township-level socioeconomic factors into account in the study regions. MDPI 2016-07-25 2016-08 /pmc/articles/PMC4997437/ /pubmed/27463725 http://dx.doi.org/10.3390/ijerph13080751 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Su, Rong
Cai, Le
Cui, Wenlong
He, Jianhui
You, Dingyun
Golden, Allison
Multilevel Analysis of Socioeconomic Determinants on Diabetes Prevalence, Awareness, Treatment and Self-Management in Ethnic Minorities of Yunnan Province, China
title Multilevel Analysis of Socioeconomic Determinants on Diabetes Prevalence, Awareness, Treatment and Self-Management in Ethnic Minorities of Yunnan Province, China
title_full Multilevel Analysis of Socioeconomic Determinants on Diabetes Prevalence, Awareness, Treatment and Self-Management in Ethnic Minorities of Yunnan Province, China
title_fullStr Multilevel Analysis of Socioeconomic Determinants on Diabetes Prevalence, Awareness, Treatment and Self-Management in Ethnic Minorities of Yunnan Province, China
title_full_unstemmed Multilevel Analysis of Socioeconomic Determinants on Diabetes Prevalence, Awareness, Treatment and Self-Management in Ethnic Minorities of Yunnan Province, China
title_short Multilevel Analysis of Socioeconomic Determinants on Diabetes Prevalence, Awareness, Treatment and Self-Management in Ethnic Minorities of Yunnan Province, China
title_sort multilevel analysis of socioeconomic determinants on diabetes prevalence, awareness, treatment and self-management in ethnic minorities of yunnan province, china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4997437/
https://www.ncbi.nlm.nih.gov/pubmed/27463725
http://dx.doi.org/10.3390/ijerph13080751
work_keys_str_mv AT surong multilevelanalysisofsocioeconomicdeterminantsondiabetesprevalenceawarenesstreatmentandselfmanagementinethnicminoritiesofyunnanprovincechina
AT caile multilevelanalysisofsocioeconomicdeterminantsondiabetesprevalenceawarenesstreatmentandselfmanagementinethnicminoritiesofyunnanprovincechina
AT cuiwenlong multilevelanalysisofsocioeconomicdeterminantsondiabetesprevalenceawarenesstreatmentandselfmanagementinethnicminoritiesofyunnanprovincechina
AT hejianhui multilevelanalysisofsocioeconomicdeterminantsondiabetesprevalenceawarenesstreatmentandselfmanagementinethnicminoritiesofyunnanprovincechina
AT youdingyun multilevelanalysisofsocioeconomicdeterminantsondiabetesprevalenceawarenesstreatmentandselfmanagementinethnicminoritiesofyunnanprovincechina
AT goldenallison multilevelanalysisofsocioeconomicdeterminantsondiabetesprevalenceawarenesstreatmentandselfmanagementinethnicminoritiesofyunnanprovincechina