Cargando…
The Health Literacy Status and Influencing Factors of Older Population in Xinjiang
BACKGROUND: This study was to investigate the health literacy and influencing factors of older population in pension institution of Xinjiang, China. METHODS: Elderly people were selected from 44 pension institutions in Urumqi, Changji, Karamay and Shihezi and from September 2011 to June 2012 using r...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Tehran University of Medical Sciences
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4645762/ https://www.ncbi.nlm.nih.gov/pubmed/26576369 |
_version_ | 1782400859605303296 |
---|---|
author | LIU, Yongbing WANG, Yanru LIANG, Fang CHEN, Yanli LIU, Liu LI, Yanfei YAO, Hua CHU, Qingquan |
author_facet | LIU, Yongbing WANG, Yanru LIANG, Fang CHEN, Yanli LIU, Liu LI, Yanfei YAO, Hua CHU, Qingquan |
author_sort | LIU, Yongbing |
collection | PubMed |
description | BACKGROUND: This study was to investigate the health literacy and influencing factors of older population in pension institution of Xinjiang, China. METHODS: Elderly people were selected from 44 pension institutions in Urumqi, Changji, Karamay and Shihezi and from September 2011 to June 2012 using random layer sampling method. The investigation was carried out by Chinese citizen health literacy questionnaire prepared by the China Health Education Center. Data were analyzed by Oneway ANOVA, multiple linear regression and Pearson correlation analysis. RESULTS: A total of 1396 elderly people met the inclusion criteria and their average age was (77.37 ± 8.48) years. Their average health literacy score was (77.37 ± 8.48) points, which was at a low level. There was significant difference in health literacy score among the factors of age, gender, race, education, household income, marital status and occupation (P<0.05). The independent influencing factors of health literacy were education, race, occupation, household income, age and marital status (P < 0.05). Correlation analysis was conducted between the scores of health knowledge, health belief, health behavior, health skill and total scores of health literacy. Health knowledge scores and total scores had highest correlation (r=0.95), followed by health belief scores and total scores (r=0.81). CONCLUSION: The correlation between health behavior scores and health skill scores was the lowest (r=0.33). The major factors that lead to low health literacy in elderly people are femininity, minority and low levels of education. |
format | Online Article Text |
id | pubmed-4645762 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Tehran University of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-46457622015-11-16 The Health Literacy Status and Influencing Factors of Older Population in Xinjiang LIU, Yongbing WANG, Yanru LIANG, Fang CHEN, Yanli LIU, Liu LI, Yanfei YAO, Hua CHU, Qingquan Iran J Public Health Original Article BACKGROUND: This study was to investigate the health literacy and influencing factors of older population in pension institution of Xinjiang, China. METHODS: Elderly people were selected from 44 pension institutions in Urumqi, Changji, Karamay and Shihezi and from September 2011 to June 2012 using random layer sampling method. The investigation was carried out by Chinese citizen health literacy questionnaire prepared by the China Health Education Center. Data were analyzed by Oneway ANOVA, multiple linear regression and Pearson correlation analysis. RESULTS: A total of 1396 elderly people met the inclusion criteria and their average age was (77.37 ± 8.48) years. Their average health literacy score was (77.37 ± 8.48) points, which was at a low level. There was significant difference in health literacy score among the factors of age, gender, race, education, household income, marital status and occupation (P<0.05). The independent influencing factors of health literacy were education, race, occupation, household income, age and marital status (P < 0.05). Correlation analysis was conducted between the scores of health knowledge, health belief, health behavior, health skill and total scores of health literacy. Health knowledge scores and total scores had highest correlation (r=0.95), followed by health belief scores and total scores (r=0.81). CONCLUSION: The correlation between health behavior scores and health skill scores was the lowest (r=0.33). The major factors that lead to low health literacy in elderly people are femininity, minority and low levels of education. Tehran University of Medical Sciences 2015-07 /pmc/articles/PMC4645762/ /pubmed/26576369 Text en Copyright© Iranian Public Health Association & Tehran University of Medical Sciences This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License which allows users to read, copy, distribute and make derivative works for non-commercial purposes from the material, as long as the author of the original work is cited properly. |
spellingShingle | Original Article LIU, Yongbing WANG, Yanru LIANG, Fang CHEN, Yanli LIU, Liu LI, Yanfei YAO, Hua CHU, Qingquan The Health Literacy Status and Influencing Factors of Older Population in Xinjiang |
title | The Health Literacy Status and Influencing Factors of Older Population in Xinjiang |
title_full | The Health Literacy Status and Influencing Factors of Older Population in Xinjiang |
title_fullStr | The Health Literacy Status and Influencing Factors of Older Population in Xinjiang |
title_full_unstemmed | The Health Literacy Status and Influencing Factors of Older Population in Xinjiang |
title_short | The Health Literacy Status and Influencing Factors of Older Population in Xinjiang |
title_sort | health literacy status and influencing factors of older population in xinjiang |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4645762/ https://www.ncbi.nlm.nih.gov/pubmed/26576369 |
work_keys_str_mv | AT liuyongbing thehealthliteracystatusandinfluencingfactorsofolderpopulationinxinjiang AT wangyanru thehealthliteracystatusandinfluencingfactorsofolderpopulationinxinjiang AT liangfang thehealthliteracystatusandinfluencingfactorsofolderpopulationinxinjiang AT chenyanli thehealthliteracystatusandinfluencingfactorsofolderpopulationinxinjiang AT liuliu thehealthliteracystatusandinfluencingfactorsofolderpopulationinxinjiang AT liyanfei thehealthliteracystatusandinfluencingfactorsofolderpopulationinxinjiang AT yaohua thehealthliteracystatusandinfluencingfactorsofolderpopulationinxinjiang AT chuqingquan thehealthliteracystatusandinfluencingfactorsofolderpopulationinxinjiang AT liuyongbing healthliteracystatusandinfluencingfactorsofolderpopulationinxinjiang AT wangyanru healthliteracystatusandinfluencingfactorsofolderpopulationinxinjiang AT liangfang healthliteracystatusandinfluencingfactorsofolderpopulationinxinjiang AT chenyanli healthliteracystatusandinfluencingfactorsofolderpopulationinxinjiang AT liuliu healthliteracystatusandinfluencingfactorsofolderpopulationinxinjiang AT liyanfei healthliteracystatusandinfluencingfactorsofolderpopulationinxinjiang AT yaohua healthliteracystatusandinfluencingfactorsofolderpopulationinxinjiang AT chuqingquan healthliteracystatusandinfluencingfactorsofolderpopulationinxinjiang |