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Survey on Quality Of Life related factors in patients with Peptic Ulcer based on PRECEDE Model in Yazd, Iran
Background: Peptic ulcer is one of the most prevalent diseases. Its prevalence is estimated between 6-15% and, about 10% of the people, experience its symptom in a period of their life. Studies showed that quality of life and health status of peptic ulcer patients is affected by disease. Objectives:...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Carol Davila University Press
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3227165/ https://www.ncbi.nlm.nih.gov/pubmed/22514574 |
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author | Baghianimoghadam, MH Mohamadi, S Baghianimoghadam, M Falahi, A Roghani, HS |
author_facet | Baghianimoghadam, MH Mohamadi, S Baghianimoghadam, M Falahi, A Roghani, HS |
author_sort | Baghianimoghadam, MH |
collection | PubMed |
description | Background: Peptic ulcer is one of the most prevalent diseases. Its prevalence is estimated between 6-15% and, about 10% of the people, experience its symptom in a period of their life. Studies showed that quality of life and health status of peptic ulcer patients is affected by disease. Objectives: The aim of this study was to determine the Quality of life Related Factors in patients with peptic ulcer based on Precede Model. Context: A cross-sectional study with 120 subject patients, who were referred to Shahid Sadoghi Hospital of Yazd. Methods: The patients were selected by simple Random sampling and data were collected by researchers making questionnaire. The validity and reliability of the questionnaire was approved. The data collected were transferred directly into SPSS. For data analysis, correlations, T–test, One way – ANOVA were used. Results and Conclusion: Results showed that there was a significant difference between the Quality of Life and Self-Management (p=0.05) and Quality of Life with Health Status (p=0.01). Pearson correlation showed that there was a significant correlation between the Quality of Life and Reinforcing factors (P=0.01). Totally, it was found that the health status, Self–Management, Predisposing and Enabling factors predicted 0.64 of the quality of life variance, among which, the Health Status was the strongest predictor (β=0.575). What should be taken into account is the cultural situation of Iran and the fact that the PRECEDE model is a model for planning intervention. It can be used as a framework for planning intervention in order to promote the quality of life of ulcer peptic patients in Iran. |
format | Online Article Text |
id | pubmed-3227165 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Carol Davila University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-32271652012-04-18 Survey on Quality Of Life related factors in patients with Peptic Ulcer based on PRECEDE Model in Yazd, Iran Baghianimoghadam, MH Mohamadi, S Baghianimoghadam, M Falahi, A Roghani, HS J Med Life Case Presentation Background: Peptic ulcer is one of the most prevalent diseases. Its prevalence is estimated between 6-15% and, about 10% of the people, experience its symptom in a period of their life. Studies showed that quality of life and health status of peptic ulcer patients is affected by disease. Objectives: The aim of this study was to determine the Quality of life Related Factors in patients with peptic ulcer based on Precede Model. Context: A cross-sectional study with 120 subject patients, who were referred to Shahid Sadoghi Hospital of Yazd. Methods: The patients were selected by simple Random sampling and data were collected by researchers making questionnaire. The validity and reliability of the questionnaire was approved. The data collected were transferred directly into SPSS. For data analysis, correlations, T–test, One way – ANOVA were used. Results and Conclusion: Results showed that there was a significant difference between the Quality of Life and Self-Management (p=0.05) and Quality of Life with Health Status (p=0.01). Pearson correlation showed that there was a significant correlation between the Quality of Life and Reinforcing factors (P=0.01). Totally, it was found that the health status, Self–Management, Predisposing and Enabling factors predicted 0.64 of the quality of life variance, among which, the Health Status was the strongest predictor (β=0.575). What should be taken into account is the cultural situation of Iran and the fact that the PRECEDE model is a model for planning intervention. It can be used as a framework for planning intervention in order to promote the quality of life of ulcer peptic patients in Iran. Carol Davila University Press 2011-11-14 2011-11-24 /pmc/articles/PMC3227165/ /pubmed/22514574 Text en ©Carol Davila University Press http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Case Presentation Baghianimoghadam, MH Mohamadi, S Baghianimoghadam, M Falahi, A Roghani, HS Survey on Quality Of Life related factors in patients with Peptic Ulcer based on PRECEDE Model in Yazd, Iran |
title | Survey on Quality Of Life related factors in patients with Peptic Ulcer based on PRECEDE Model in Yazd, Iran
|
title_full | Survey on Quality Of Life related factors in patients with Peptic Ulcer based on PRECEDE Model in Yazd, Iran
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title_fullStr | Survey on Quality Of Life related factors in patients with Peptic Ulcer based on PRECEDE Model in Yazd, Iran
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title_full_unstemmed | Survey on Quality Of Life related factors in patients with Peptic Ulcer based on PRECEDE Model in Yazd, Iran
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title_short | Survey on Quality Of Life related factors in patients with Peptic Ulcer based on PRECEDE Model in Yazd, Iran
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title_sort | survey on quality of life related factors in patients with peptic ulcer based on precede model in yazd, iran |
topic | Case Presentation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3227165/ https://www.ncbi.nlm.nih.gov/pubmed/22514574 |
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