Factors associated with quality of life among joint and nuclear families using the World Health Organization's quality of life instrument (WHOQOL-BREF).

Abstract Background Family system has been found to affect the quality of life (QOL) among joint and nuclear family systems. In Pakistan, there is scarcity of literature about QOL among joint and nuclear family systems. We determined the factors associated with QOL scores in joint and nuclear family systems in Pakistani general population in District Abbottabad, Pakistan. 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 2063 participants from both nuclear and joint family houses. A validated Urdu version of WHO QOL-BREF was used to assess level of quality of life among participants. Univariate and multivariate analysis was done to find out the association of different socio demographic variables with QOL among both family systems. A multilevel linear regression using backward analysis allowing to obtain final model for each domain was done to find out the variables that affect QOL score among both 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 as compare to urban residence (p < 0.001), being female as compare to males (p < 0.001), increasing age as unit a decade (p < 0.001), having any disease as compare to absence of disease (p < 0.001) low socioeconomic status (SES) as compare to high SES (p < 0.001) were found out to be strong predictor of poorer QOL. Furthermore social capital (p < 0.001) had a positive effect on joint and nuclear family QOL scores. Conclusion Our study was the first of its kind which determined the factors of QOL scores in joint and nuclear families using validated WHO QOL-BREF in Pakistan. Male gender, urban residence, younger age, higher socio-economic status and social capital were positive predictors of QOL score while increasing age and presence of illness were associated with lower QOL scores among both family systems.

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Factors associated with quality of life among joint and nuclear families: A population-based study

10.21203/rs.3.rs-33471/v2 ◽

2021 ◽

Author(s):

Fahad Saqib Lodhi ◽

Unaib Rabbani ◽

Adeel Ahmed Khan ◽

Owais Raza ◽

Kourosh Holakouie Naieni ◽

...

Keyword(s):

Quality Of Life ◽

Social Capital ◽

Socioeconomic Status ◽

Linear Regression ◽

Family Systems ◽

Nuclear Family ◽

Population Based ◽

Nuclear Families ◽

Factors Associated

Abstract Background: Family affects the quality of life (QOL) of an individual. 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.

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Factors associated with quality of life among joint and nuclear families: a population-based study

BMC Public Health ◽

10.1186/s12889-021-10265-2 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Fahad Saqib Lodhi ◽

Unaib Rabbani ◽

Adeel Ahmed Khan ◽

Owais Raza ◽

Kourosh Holakouie-Naieni ◽

...

Keyword(s):

Quality Of Life ◽

Social Capital ◽

Socioeconomic Status ◽

Linear Regression ◽

Family Systems ◽

Nuclear Family ◽

Population Based ◽

Nuclear Families ◽

Factors Associated

Abstract 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.

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Factors associated with quality of life among joint and nuclear families: A population-based study

10.21203/rs.3.rs-33471/v3 ◽

2021 ◽

Author(s):

Fahad Saqib Lodhi ◽

Unaib Rabbani ◽

Adeel Ahmed Khan ◽

Owais Raza ◽

Kourosh Holakouie Naieni ◽

...

Keyword(s):

Quality Of Life ◽

Social Capital ◽

Socioeconomic Status ◽

Linear Regression ◽

Family Systems ◽

Nuclear Family ◽

Population Based ◽

Nuclear Families ◽

Factors Associated

Abstract 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.

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Higher Income and Integration into the Workforce Are the Main Factors Associated with Quality of Life in Acromegalic Patients in Northeastern Brazil

International Journal of Endocrinology ◽

10.1155/2018/6135080 ◽

2018 ◽

Vol 2018 ◽

pp. 1-10

Author(s):

Adriana Maria GuimarãesSá ◽

Pedro Antônio Muniz Ferreira ◽

Marinilde Teles Souza ◽

Gilvan Cortês Nascimento ◽

Sabrina da Silva Pereira Damianse ◽

...

Keyword(s):

Quality Of Life ◽

Linear Regression ◽

Positive Association ◽

Multivariate Linear Regression ◽

Personal Relationship ◽

Northeastern Brazil ◽

Job Market ◽

Factors Associated ◽

Psychological Domain

Objective. To identify the factors associated with quality of life in patients with acromegaly with follow-up at the referral service in neuroendocrinology of the state of Maranhão, northeast Brazil. Methods. The Acromegaly Quality of Life Questionnaire (Acro-QoL) was used. Factors independently associated with quality of life were identified using multivariate linear regression, with p values < 0.05 considered significant. Results. The multivariate linear regression analysis indicated a positive association between being integrated into the job market and quality of life scores in the overall domain (β=0.288, p=0.003), psychological domain (β=0.291, p=0.032), and personal relationship domain (β=0.314, p=0.019). We also observed a positive association with income and the quality of life scores in all domains as follows: overall domain (β=0.037, p=0.003), physical domain (β=0.988, p=0.001), psychological domain (β=0.342, p=0.008), physical appearance domain (β=0.270, p=0.049), and personal relationship domain (β=0.315, p=0.012). Conclusion. For patients with acromegaly living in one of the least developed regions of Brazil, integration into the job market and a higher income were associated with a better quality of life.

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Social Capital Associated with Quality of Life among People Living with HIV/AIDS in Nanchang, China

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph16020276 ◽

2019 ◽

Vol 16 (2) ◽

pp. 276 ◽

Cited By ~ 4

Author(s):

Fei Xie ◽

Huilie Zheng ◽

Ling Huang ◽

Zhaokang Yuan ◽

Yuanan Lu

Keyword(s):

Quality Of Life ◽

Social Capital ◽

Linear Regression ◽

Multiple Linear Regression ◽

People Living With Hiv ◽

Bonding Social Capital ◽

Bridging Social Capital ◽

Living With Hiv ◽

Hiv Aids

Background: This study aims to explore the relationship between quality of life (QOL) and social capital factors among “people living with HIV/AIDS” (PLWHA), in order to improve their quality of life and help them to release AIDS discrimination. Methods: A cross-sectional survey with 225 PLWHA was done in Nanchang, China, between January and June of 2015. Questionnaires consisted of a socio-demographic questionnaire, Personal Social Capital Scale and Medical Outcomes Study HIV Health Survey. To identify social capital factors influencing QOL among PLWHA, t-test and multiple linear regression were used as statistical tools. The analysis of data was conducted using SPSS 22.0 with a significant value of p < 0.05. Results: The scores of total social capital, bonding social capital and bridging social capital were 23.68 ± 5.55, 14.11 ± 3.40 and 9.46 ± 3.43 respectively. The scores of Physical Health Summary (PHS) and Mental Health Summary (MHS) were 51.88 ± 7.04 and 49.29 ± 6.60. Multiple linear regression analysis showed that age (B = −0.137, p = 0.020), income (B = 0.2170, p ≤ 0.001), employment (B = 0.112, p = 0.043) and bonding social capital (B = 0.178, p = 0.001) had significant effects on PHS. Bonding social capital was the most important influencing factor for MHS (B = 0.506, p < 0.001). There was no significant relationship between bridging social capital and QOL (p > 0.05). Conclusions: The PLWHA community has low social capital and a poor QOL in Nanchang. Bonding social capital had a positive impact on the QOL of PLWHA. There is an urgent need to build a better social support system based on bonding social capital for PLWHA. It is worth further exploring to identify how to make full use of bridging social capital for improving QOL among PLWHA.

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