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Factors affecting the quality of life in women with gestational diabetes mellitus: a path analysis model
BACKGROUND: Quality of life (QoL) is the most important indicator for assessing the status of health care in chronic diseases. The present study aimed to determine the pathway determinants model of QoL in patients with gestational diabetes mellitus (GDM). METHODS: This cross-sectional study was cond...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7027238/ https://www.ncbi.nlm.nih.gov/pubmed/32070359 http://dx.doi.org/10.1186/s12955-020-01293-4 |
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author | Ansarzadeh, Soheila Salehi, Leili Mahmoodi, Zohreh Mohammadbeigi, Abolfazl |
author_facet | Ansarzadeh, Soheila Salehi, Leili Mahmoodi, Zohreh Mohammadbeigi, Abolfazl |
author_sort | Ansarzadeh, Soheila |
collection | PubMed |
description | BACKGROUND: Quality of life (QoL) is the most important indicator for assessing the status of health care in chronic diseases. The present study aimed to determine the pathway determinants model of QoL in patients with gestational diabetes mellitus (GDM). METHODS: This cross-sectional study was conducted on 329 women with GM referred to health care centers in Qom, Iran during 2018. Convenience sampling methods was used. Inclusion criteria were: afflicted by GM and received pregnancy care services from health center. Several questionnaires (Knowledge, attitude, self-efficacy (SE), social support (SS), pregnancy distress, self-management(SM) and QoL) were used for data collection. Data were analyzed with SPSS-21 and Lisrel-8.8 software using statistical path analysis. RESULTS: The mean age of participants was 30.93 ± 5.42 years. The final path model fitted well (CFI =1, RMSEA = 0.0003) and showed that, only age variable from both direct and indirect path had an impact on QoL (B = 0.51). Among variables that directly affected the QoL, SS had the highest effect (B = 1.02) and SE (B = 0.01) had the lowest effect. In the indirect path, only the knowledge variable by affecting the SE had an impact on the QoL (B = 0.0045). CONCLUSION: SS had the greatest impact on the QoL. Obviously, providing all the requirements to support patients can help them overcome problems and improve their QoL. Distress negatively affects the QoL through SM and it should be noticed in interventional studies. |
format | Online Article Text |
id | pubmed-7027238 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-70272382020-02-24 Factors affecting the quality of life in women with gestational diabetes mellitus: a path analysis model Ansarzadeh, Soheila Salehi, Leili Mahmoodi, Zohreh Mohammadbeigi, Abolfazl Health Qual Life Outcomes Research BACKGROUND: Quality of life (QoL) is the most important indicator for assessing the status of health care in chronic diseases. The present study aimed to determine the pathway determinants model of QoL in patients with gestational diabetes mellitus (GDM). METHODS: This cross-sectional study was conducted on 329 women with GM referred to health care centers in Qom, Iran during 2018. Convenience sampling methods was used. Inclusion criteria were: afflicted by GM and received pregnancy care services from health center. Several questionnaires (Knowledge, attitude, self-efficacy (SE), social support (SS), pregnancy distress, self-management(SM) and QoL) were used for data collection. Data were analyzed with SPSS-21 and Lisrel-8.8 software using statistical path analysis. RESULTS: The mean age of participants was 30.93 ± 5.42 years. The final path model fitted well (CFI =1, RMSEA = 0.0003) and showed that, only age variable from both direct and indirect path had an impact on QoL (B = 0.51). Among variables that directly affected the QoL, SS had the highest effect (B = 1.02) and SE (B = 0.01) had the lowest effect. In the indirect path, only the knowledge variable by affecting the SE had an impact on the QoL (B = 0.0045). CONCLUSION: SS had the greatest impact on the QoL. Obviously, providing all the requirements to support patients can help them overcome problems and improve their QoL. Distress negatively affects the QoL through SM and it should be noticed in interventional studies. BioMed Central 2020-02-18 /pmc/articles/PMC7027238/ /pubmed/32070359 http://dx.doi.org/10.1186/s12955-020-01293-4 Text en © The Author(s) 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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 Ansarzadeh, Soheila Salehi, Leili Mahmoodi, Zohreh Mohammadbeigi, Abolfazl Factors affecting the quality of life in women with gestational diabetes mellitus: a path analysis model |
title | Factors affecting the quality of life in women with gestational diabetes mellitus: a path analysis model |
title_full | Factors affecting the quality of life in women with gestational diabetes mellitus: a path analysis model |
title_fullStr | Factors affecting the quality of life in women with gestational diabetes mellitus: a path analysis model |
title_full_unstemmed | Factors affecting the quality of life in women with gestational diabetes mellitus: a path analysis model |
title_short | Factors affecting the quality of life in women with gestational diabetes mellitus: a path analysis model |
title_sort | factors affecting the quality of life in women with gestational diabetes mellitus: a path analysis model |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7027238/ https://www.ncbi.nlm.nih.gov/pubmed/32070359 http://dx.doi.org/10.1186/s12955-020-01293-4 |
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