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Factors associated with quality of life among joint and nuclear families: a population-based study
BACKGROUND: Advantages and disadvantages associated with joint and nuclear family systems can affect quality of life (QOL). However, there is scarcity of literature about QOL among joint and nuclear family systems. This study aimed to assess the factors associated with QOL in joint and nuclear famil...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7845136/ https://www.ncbi.nlm.nih.gov/pubmed/33509153 http://dx.doi.org/10.1186/s12889-021-10265-2 |
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author | Lodhi, Fahad Saqib Rabbani, Unaib Khan, Adeel Ahmed Raza, Owais Holakouie-Naieni, Kourosh Yaseri, Mehdi Farooq, Umer Montazeri, Ali |
author_facet | Lodhi, Fahad Saqib Rabbani, Unaib Khan, Adeel Ahmed Raza, Owais Holakouie-Naieni, Kourosh Yaseri, Mehdi Farooq, Umer Montazeri, Ali |
author_sort | Lodhi, Fahad Saqib |
collection | PubMed |
description | BACKGROUND: Advantages and disadvantages associated with joint and nuclear family systems can affect quality of life (QOL). However, there is scarcity of literature about QOL among joint and nuclear family systems. This study aimed to assess the factors associated with QOL in joint and nuclear family systems. METHODS: We conducted a population based cross sectional study in all 52 Union Councils (UCs) of District Abbottabad, Khyber Pakhtunkhwa province, Pakistan from March 2015 to August 2015. Multistage cluster sampling technique was used to select participants from both nuclear and joint family houses. The validated Urdu version of World Health Organization Quality of Life Questionnaire-Brief Version (WHOQOL-BREF) was used to assess quality of life among participants. Univariate and multivariate analyses were performed to explore the associations of different socio demographic variables with QOL among both family systems. Also a multilevel linear regression using backward analysis to obtain final model for each domain was performed to find out the variables that are associated with QOL score in each of family systems. RESULTS: A total of 2063 participants were included in this study (51.0% joint family, 49.0% nuclear family) with the response rate of 97.4%. In multiple linear regression analysis of each domain for joint and nuclear family systems, rural residence compared to urban (p < 0.001), being female (p < 0.001), older age (p < 0.001), having comorbidity (p < 0.001) and lower socioeconomic status (p < 0.001) were found to be a strong predictor of poorer QOL. Furthermore, social capital (p < 0.001) had a positive effect on joint and nuclear family QOL scores. CONCLUSION: This study was the first of its kind which determined the factors of QOL in joint and nuclear families using the validated Urdu version of WHOQOL-BREF in Pakistan. Male gender, urban residence, younger age, higher socioeconomic status and social capital were positive predictors of QOL score while older age and presence of illness were associated with lower QOL scores among both family systems. |
format | Online Article Text |
id | pubmed-7845136 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-78451362021-02-01 Factors associated with quality of life among joint and nuclear families: a population-based study Lodhi, Fahad Saqib Rabbani, Unaib Khan, Adeel Ahmed Raza, Owais Holakouie-Naieni, Kourosh Yaseri, Mehdi Farooq, Umer Montazeri, Ali BMC Public Health Research Article BACKGROUND: Advantages and disadvantages associated with joint and nuclear family systems can affect quality of life (QOL). However, there is scarcity of literature about QOL among joint and nuclear family systems. This study aimed to assess the factors associated with QOL in joint and nuclear family systems. METHODS: We conducted a population based cross sectional study in all 52 Union Councils (UCs) of District Abbottabad, Khyber Pakhtunkhwa province, Pakistan from March 2015 to August 2015. Multistage cluster sampling technique was used to select participants from both nuclear and joint family houses. The validated Urdu version of World Health Organization Quality of Life Questionnaire-Brief Version (WHOQOL-BREF) was used to assess quality of life among participants. Univariate and multivariate analyses were performed to explore the associations of different socio demographic variables with QOL among both family systems. Also a multilevel linear regression using backward analysis to obtain final model for each domain was performed to find out the variables that are associated with QOL score in each of family systems. RESULTS: A total of 2063 participants were included in this study (51.0% joint family, 49.0% nuclear family) with the response rate of 97.4%. In multiple linear regression analysis of each domain for joint and nuclear family systems, rural residence compared to urban (p < 0.001), being female (p < 0.001), older age (p < 0.001), having comorbidity (p < 0.001) and lower socioeconomic status (p < 0.001) were found to be a strong predictor of poorer QOL. Furthermore, social capital (p < 0.001) had a positive effect on joint and nuclear family QOL scores. CONCLUSION: This study was the first of its kind which determined the factors of QOL in joint and nuclear families using the validated Urdu version of WHOQOL-BREF in Pakistan. Male gender, urban residence, younger age, higher socioeconomic status and social capital were positive predictors of QOL score while older age and presence of illness were associated with lower QOL scores among both family systems. BioMed Central 2021-01-28 /pmc/articles/PMC7845136/ /pubmed/33509153 http://dx.doi.org/10.1186/s12889-021-10265-2 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data. |
spellingShingle | Research Article Lodhi, Fahad Saqib Rabbani, Unaib Khan, Adeel Ahmed Raza, Owais Holakouie-Naieni, Kourosh Yaseri, Mehdi Farooq, Umer Montazeri, Ali Factors associated with quality of life among joint and nuclear families: a population-based study |
title | Factors associated with quality of life among joint and nuclear families: a population-based study |
title_full | Factors associated with quality of life among joint and nuclear families: a population-based study |
title_fullStr | Factors associated with quality of life among joint and nuclear families: a population-based study |
title_full_unstemmed | Factors associated with quality of life among joint and nuclear families: a population-based study |
title_short | Factors associated with quality of life among joint and nuclear families: a population-based study |
title_sort | factors associated with quality of life among joint and nuclear families: a population-based study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7845136/ https://www.ncbi.nlm.nih.gov/pubmed/33509153 http://dx.doi.org/10.1186/s12889-021-10265-2 |
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