Dataset Information

Assessing the quality of life among Pakistani general population and their associated factors by using the World Health Organization's quality of life instrument (WHOQOL-BREF): a population based cross-sectional study.

ABSTRACT:

Background

Measuring quality of life (QOL) in a population is important for the predictions of health and social care needs. In Pakistan, health related quality of life data exist but there are no quality of life data of general population. In this study, quality of life was assessed among the Pakistani general population and their associated factors by using the World Health Organization's quality of life instrument (WHOQOL-BREF).

Methodology

A population-based cross-sectional study was carried out in all 52 Union Councils of District Abbottabad, Khaber Pkutunkhua province, Pakistan from March 2015 to August 2015. Multi-stage cluster sampling technique was employed in this study. Quality of life was measured by using the validated WHOQOL-BREF instrument, along with socioeconomic, demographic, and World Bank social capital questions in this population- based study. The data were collected through households, utilizing face to face interviews. The association between socio-demographic variables and quality of life domains were determined by using both univariate and multivariate analysis. Descriptive statistics were derived, and a multilevel linear regression using backward analysis allowing to obtain final model for each domain was achieved to recognize the variables that affect quality of life score.

Results

A total of 2063 participants were included in this study (51.2% male, 48.2% female). Mean age of participants was 37.9, SD?=?13.2; ranging from 18 to 90. Mean score of quality of life domains (physical, psychological, social relationship and environmental domains) were 65.0 (SD?=?15.2), 67.4 (SD?=?15.0), 72.0 (SD?=?16.5), 55.5 (SD?=?15.0), respectively. Overall, socioeconomic status was established to be the strongest predictor of poorer quality of life for all domains as a change in SES from high to low results in reduction about (??=?-?5.85, ??=?-?9.03, ??=?-?8.33, ??=?-?9.98, p?ConclusionsIncreasing age, having average and lower socioeconomic status and living in the rural area were found to be the strong predictor of poorer quality of life in all domains, while total social capital score had a positive effect on Pakistani quality of life scores.

SUBMITTER: Lodhi FS

PROVIDER: S-EPMC6332637 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature

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Publications

Assessing the quality of life among Pakistani general population and their associated factors by using the World Health Organization's quality of life instrument (WHOQOL-BREF): a population based cross-sectional study.

Lodhi Fahad Saqib FS Montazeri Ali A Nedjat Saharnaz S Mahmoodi Mahmoud M Farooq Umer U Yaseri Mehdi M Kasaeian Amir A Holakouie-Naieni Kourosh K

Health and quality of life outcomes 20190114 1

<h4>Background</h4>Measuring quality of life (QOL) in a population is important for the predictions of health and social care needs. In Pakistan, health related quality of life data exist but there are no quality of life data of general population. In this study, quality of life was assessed among the Pakistani general population and their associated factors by using the World Health Organization's quality of life instrument (WHOQOL-BREF).<h4>Methodology</h4>A population-based cross-sectional st ...[more]

PMID: 30642360

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Project description:The objective of this study is to obtain population norms and to assess test-retest reliability of EQ-5D-5L and WHOQOL-BREF for the Indonesian population.A representative sample of 1056 people aged 17-75 years was recruited from the Indonesian general population. We used a multistage stratified quota sampling method with respect to residence, gender, age, education level, religion and ethnicity. Respondents completed EQ-5D-5L and WHOQOL-BREF with help from an interviewer. Norms data for both instruments were reported. For the test-retest evaluations, a sub-sample of 206 respondents completed both instruments twice.The total sample and test-retest sub-sample were representative of the Indonesian general population. The EQ-5D-5L shows almost perfect agreement between the two tests (Gwet's AC: 0.85-0.99 and percentage agreement: 90-99%) regarding the five dimensions. However, the agreement of EQ-VAS and index scores can be considered as poor (ICC: 0.45 and 0.37 respectively). For the WHOQOL-BREF, ICCs of the four domains were between 0.70 and 0.79, which indicates moderate to good agreement. For EQ-5D-5L, it was shown that female and older respondents had lower EQ-index scores, whilst rural, younger and higher-educated respondents had higher EQ-VAS scores. For WHOQOL-BREF: male, younger, higher-educated, high-income respondents had the highest scores in most of the domains, overall quality of life, and health satisfaction.This study provides representative estimates of self-reported health status and quality of life for the general Indonesian population as assessed by the EQ-5D-5L and WHOQOL-BREF instruments. The descriptive system of the EQ-5D-5L and the WHOQOL-BREF have high test-retest reliability while the EQ-VAS and the index score of EQ-5D-5L show poor agreement between the two tests. Our results can be useful to researchers and clinicians who can compare their findings with respect to these concepts with those of the Indonesian general population.

Project description:Background Diabetes mellitus (DM) is rising at a rapid rate worldwide. As a chronic, incurable metabolic disease, diabetes affects a person’s life in all ways. Studies thus far have focused on the impact of diabetes on the physical and mental health of persons affected by the quality of life (QoL). This study aimed to explore the whole range of QoL deficits using the World Health Organization Quality of Life brief version (WHOQOL-BREF) in type-2 diabetic patients. Methods This cross-sectional study was carried out among individuals aged at or above 15 years with type 2 diabetes (T2DM). Patients with prior mental health illness and unwillingness to give consent were excluded. A pretested structured questionnaire including the 26-item WHOQOL-BREF questionnaire was used for face-to-face interviews. Appropriate ethical measures were ensured. All statistical analyses were carried out using the statistical software STATA (Version 16.1). Graphs were created using R (Version 4.0.0). Results A total of 500 T2 DM patients with a mean age of 55.8 ± 13.2 years (± SD) and a female proportion of 50.8% were included. Overall, 22.2% of participants rated their QoL as poor, and 25% were dissatisfied with their health (as assessed by questions 1 and 2 of the WHOQOL-BREF questionnaire). More than half (54% and 51.2%, respectively) had an average evaluation of their QoL and health. The QoL scores were below average, with mean scores (± SD) for the physical health, psychological, social relationship, and environmental domains of 37.2 ± 20.5, 44.2 ± 21.0, 39.6 ± 23.2, and 41.6 ± 19.5, respectively. Multiple regression analysis revealed that the patient’s level of education and monthly family income were significant positive modifiers and that complications (nephropathy, retinopathy, and peripheral artery disease) were significant negative determinants of the QoL score in different domains. Conclusion This study found the overall quality of life among T2DM patients below average. Health authorities and clinicians should take these findings into account and incorporate necessary measures to ameliorate negative modifiers of the quality of life of sufferers. Supplementary Information The online version contains supplementary material available at 10.1186/s12902-022-01072-w.

Project description:BACKGROUND:Health-related quality of life (HRQOL) is used as a measure of treatment outcomes, in addition to seizure control. Hence, the study was aimed to assess HRQOL and its determinants among adult patients with epilepsy (PWE). METHOD:A hospital-based cross-sectional study was conducted from April 20 to June 27/2019, through patient interviews and patient's chart review (medication and clinical information). Data were analyzed using SPSS version 20. The psychometric property was done using Cronbach's alpha test value of >0.7 as accepted internal consistency and Kaiser-Meyer-Olkin (KMO) measure of sample size adequacy value of ≥0.5 as acceptable construct validity, for Afaan Oromo version questionnaire. Multivariate linear logistic regression analysis was done to find predictors for the HRQOL score. RESULTS:Of 121 PWE included in the study, 24.4% had overall poor HRQOL with the overall mean ±SD score of 56.42±10.96. The predictors for low overall HRQOL score were: presence of co-morbidity (B = -5.620, SE = 1.531, p<0.0001, 95% C.I = -8.656 to -2.584), uncontrolled seizure for at least 2 years (B = -4.239, SE = 1.296, p = 0.001, 95% C.I = -6.809 to -1.670), divorced (B = -8.423, SE = 2.241, p<0.0001, 95%C.I = -12.867 to -3.978) relative to married, and no education (B = -8.715, SE = -8.15, SE = 2.604, p = 0.001, 95%C.I = -9.648 to -1.316) relative to who had level of education above tertiary. In addition, uncontrolled seizure (irrespective of time since seizure-free) (B = -10.083, SE = 2.104, p<0.0001, 95%C.I = -14.256 to -5.910), being widowed (B = -9.300, SE = 3.594, p = 0.011, 95%C.I = -16.429-2.170) relative to married and being illiterate/no education (B = -13.004, SE = 3.910, p = 0.001, 95%C.I = -20.760 to -5.248) relative to educational level of tertiary and above were found to be the strongest negative predictors of HRQOL of physical health. Moreover, uncontrolled seizure (irrespective of time since seizure-free) (B = -12.668, SE = 2.019, p<0.0001, 95%C.I = -16.671 to -8.664) and being divorced (B = -10.153, SE = 3.228, p = 0.002, 95%C.I = -16.556 to -3.751) compared to married were strong predictors for low HRQOL score of psychological health. Absence of Poly-pharmacy (B = 9.050, SE = 3.027, P = 0.003, 95%C.I = 3.047 to 15.054), being single (B = -9.551, SE = 2.095, p<0.0001, 95%C.I = -14.419 to -4.683), and divorced (B = -11.022, SE = 3.351, P = 0.001, 95%C.I = -17.668 to -4.376) relative to married were found to be strong predictors for HRQOL score of social health. Moreover, low HRQOL score of environmental health was predicted by rural residence (B = -5.795, SE = 2.101, p = 0.007, 95%C.I = -9.962 to -1.628), co-morbidity (B+ -4.230, SE = 2.125, p = 0.049, 95%C.I = -8.444 to -0.015) & uncontrolled seizure irrespective of time since seizure-free (B = -6.907, SE = 1.945, p = 0.001, 95%C.I = -10.765 to -3.049) and uncontrolled seizure of at least 2 years (B = -4.520, SE = 1.798, p = 0.014, 95%C.I = -8.088 to -0.953). CONCLUSIONS:The majority of the study participants had a good overall HRQOL. In general, a low level of HRQOL score was significantly associated with the marital status of single/widowed/divorced, low level of education, low level of monthly income, co-morbidity, uncontrolled seizure, and poly-pharmacy; irrespective of HRQOL domains. Therefore, it is required to improve HRQOL, by avoiding modifiable factors for PWE to achieve the optimum HRQOL.

Dataset Information

Assessing the quality of life among Pakistani general population and their associated factors by using the World Health Organization's quality of life instrument (WHOQOL-BREF): a population based cross-sectional study.

Background

Methodology

Results

Publications

Assessing the quality of life among Pakistani general population and their associated factors by using the World Health Organization's quality of life instrument (WHOQOL-BREF): a population based cross-sectional study.

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