BackgroundMeasuring 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).MethodologyA 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.ResultsA 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 (β = − 5.85, β = − 9.03, β = − 8.33, β = − 9.98, p < 0.001). Similarly, type of residency was negatively associated with physical, psychological and environmental domains while age and sex were negatively associated with physical, psychological and relationship domains in final model. Furthermore social capital (β = 0.09, β = 0.13, β =0.14, β =0.15, p < 0.001) had a positive effect on Pakistani quality of life. Overall, subjective quality of life was found to be low in our population and extremely varied by socio-demographic variables.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.Electronic supplementary materialThe online version of this article (10.1186/s12955-018-1065-x) contains supplementary material, which is available to authorized users.

Background and Objectives: In order to curb the spread of coronavirus disease 2019 (COVID-19), the countries took preventive measures such as lockdown and restrictions of movements. This can lead to effects on mental health of the population. We studied the impact of COVID-19 on psychological well-being and associated factors among the Pakistani general population.Methods: An online cross-sectional survey was conducted between 26th April and 15th May and included participants from all over the Pakistan. Attitudes and worriedness about COVID-19 pandemic were assessed using a structured questionnaire. A validated English and Urdu version of the World Health Organization Well-Being Index (WHO-5) was used to assess the well-being. Factor analysis was done to extract the attitude item domains. Logistic regression was used to assess the factors associated with poor well-being.Results: A total of 1,756 people participated in the survey. Almost half 50% of the participants were male, and a similar proportion was employed. About 41% of the participants were dependent on financial sources other than salary. News was considered a source of fear as 72% assumed that avoiding such news may reduce the fear. About 68% of the population was worried about contracting the disease. The most common coping strategies used during lockdown were spending quality time with family, eating healthy food, adequate sleep, and talking to friends on phone. Prevalence of poor well-being was found to be 41.2%. Female gender, being unemployed, living in Sindh and Islamabad Capital Territory (ICT), fear of COVID-19, and having chronic illness were significantly associated with poor well-being. Similarly, coping strategies during lockdown (doing exercise; spending time with family; eating healthy food; having good sleep; contributing in social welfare work and spending time on hobbies) were also significantly associated with mental well-being.Conclusion: We found a high prevalence 41.2% of poor well-being among the Pakistani general population. We also investigated risk factors of poor well-being which included female gender, unemployment, being resident of ICT and Sindh, fear, chronic illness, and absence of coping strategies. This calls for immediate action at population level in the form of targeted mass psychological support programs to improve the mental health of population during the COVID-19 crises.

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.

Background: The present study was conducted to translate and validate the World Health Organization’s Quality-of-Life Scale - BREF into local language of Pakistan. Methods: A forward- backward translation procedure was followed to develop the Pakistani version of the questionnaire. Through a multi- stage clustered sampling technique, a sample of individuals aged 18 years and above completed the questionnaire in Abbottabad district, Pakistan. Psychometric properties of the instrument including reliability (internal consistency and test-retest analysis), validity (known group comparison and items’ correlation) and their domains were assessed. Satisfactory results were also shown in the correlation matrix in all domains. Results: A total of 2060 participants were recruited in this study. Participants’ mean age was 35.51 (SD= 14.31) years in healthy individuals and 39.29 (SD= 14.31) years in diseased individuals. The internal consistency of the WHOQOL-BREF (Pakistani Version) was 0.86. Moreover, the physical, psychological, and environmental domains had acceptable reliability (alpha= 0.78, 0.75, and 0.73, respectively), but reliability was low (alpha= 0.56) in the social domain. Reproducibility of the WHOQOL-BREF was as follows: ICC range: 0.72–0.92 at 2-week retest interval. After performing comparison analysis, the results indicated that the questionnaire significantly segregated the study groups in all QoL domains, except for social relationship. Conclusion: The study provided strong exploratory evidence for the reliability and validity of the WHOQOL-BREF for use in Pakistan. However, more exploration is needed to improve the reliability results in the social domain.

BackgroundThe Hospital Anxiety and Depression Scale (HADS) is a widely used instrument to measure anxiety and depression symptoms.AimsThis study aimed to translate, validate and test the applicability of the Urdu version of the Hospital Anxiety and Depression Scale (HADS/UV) among pregnant women.MethodsThe original English version of the HADS was translated into Urdu by three bilingual experts and retranslated to English using the forward–backward approach. The questionnaire was administered to a sample of 200 pregnant women availing obstetrics and gynaecology services for routine prenatal check-ups of Ayub Teaching Hospital, Abbottabad, Pakistan. Psychometric properties of the instrument, including reliability (internal consistency, test–retest analysis and interitems correlation), were tested. Face and content validity were also assessed. Content Validity Index (CVI) was determined using the average approach and Item-Level Content Validity Index (I-CVI) and Scale-Level Content Validity Index (S-CVI) were calculated accordingly. Construct validity was examined through exploratory factor analysis.ResultsCronbach’s alpha coefficient has been found to be 0.82 for the anxiety subscale and 0.64 for the depression subscale, while overall alpha of the HADS/UV is 0.84. The Urdu version is content valid, and the S-CVI of anxiety subscale, depression subscale and HADS/UV are 0.947, 948 and 0.947, respectively. Test–retest reliability is 0.884 and 0.934 as measured by Pearson correlation and intraclass correlation, respectively. HADS/UV items correlated positively with the whole scale (p<0.001). Factor analysis with varimax rotation revealed that two factors explained 42.75% of the variance. Items’ distribution was quite similar to the original HADS.ConclusionThe HADS/UV is a psychometrically sound instrument with satisfactory measurement, including good internal consistency. The instrument shows promise to be a sound tool to assess anxiety and depression in pregnancy.

BackgroundChildhood immunization is one of the most cost-effective interventions for child health. Still, many children are not able to receive completed immunization status. Wealth – related inequality in immunization is considered a major reason for equitable coverage of immunization in Pakistan. Therefore, we examine wealth-related inequality in completed childhood immunization and to assess achievement indices across geographical regions in Pakistan.MethodsThe analysis was based on a nationally representative demographic and health survey (DHS) of Pakistan, conducted in 2012–13. We examined completed childhood (12–23 months) immunization in the various regions of the country and we used concentration, extended concentration and achievement indices to demonstrate inequality across geographical regions in Pakistan.ResultsInequality in completed childhood immunization was seen in Pakistan with concentration index (CI) of 0.181 (95% CI: 0.164–0.209). Regions with high average of complete immunization showed lower inequality except for Sindh. Despite having better average immunization coverage in Kyber Pakhtunkhwa, the relative change of 128% in concentration index (CI) from C2 (standard CI) to C5 (when poorer quantile received highest weights) shows this to be also the most inequitable regions. Four parameters of inequality aversion (v = 2, 3, 4 & 5) demonstrated that ‘dis – achievement’ in completed immunization is densely concentrated among the poorer regions. Balochistan, Sindh and Gilgit Baltistan exhibited broader inequality gaps (93.75%, 83.35%, and 54.93%, respectively) at higher aversion parameter.ConclusionsAs hypothesized, achievement index uncovers ‘penalized’ immunization coverage amongst the poorest population. Thus any policy that stringently focuses on improving average immunization rate without any strategy to deal with inequality will only improve immunization rate within wealthier groups. Based on these results, it is advisable to public health policy makers to use both aspect of information: average and degree of inequality in immunization coverage.Electronic supplementary materialThe online version of this article (10.1186/s12939-018-0837-6) contains supplementary material, which is available to authorized users.

Objective: We determined the frequency and risk factors of anxiety and depression in pregnant patients at an Abbottabad tertiary care hospital district of Khyber Pakhtunkhwa, Pakistan. Methods: Using the validated Urdu version of the Hospital Anxiety and Depression Scale, we conducted a cross-sectional study among 200 pregnant women from April to August 2019 at Ayub Teaching Hospital, a tertiary care hospital (HADS). Unadjusted and adjusted odds ratios for independent factors related with anxiety and depression were calculated using univariate and multivariable logistic regression. Results: Around 70% of the pregnant women were classified as anxious, while 57.5% were depressed. About half of the pregnant women had both depression and anxiety. Multivariate regression analysis showed that combined pregnant women were more likely to experience anxiety and despair belonging to Urdu ethnicity, having low level of education, household income of greater than 30 thousand PKR, husband’s higher level of managerial and professional position, and in 3rd trimester of pregnancy. Conclusion: Depression and anxiety are prevalent throughout pregnancy, according to our research. We suggest that interventions should be designed and implemented through mental health integration at all level of health care by taking into account the associated risk factors can lessen prenatal depression and anxiety among expecting mothers. Keywords: Anxiety, depression, risk factors, pregnant women, Pakistan.

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