Assessing the quality of life among Pakistani general population and their associated factors by using the World Health Organization’s quality ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Fahad Saqib Lodhi, Ali Montazeri, Saharnaz Nedjat, Mahmoud Mahmoodi, Umer Farooq, Mehdi Yaseri, Amir Kasaeian, Kourosh Holakouie-Naieni

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 (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. CONCLUSIONS: Increasing 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. More... »

PAGES

9

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12955-018-1065-x

DOI

http://dx.doi.org/10.1186/s12955-018-1065-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111402058

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30642360


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Tehran University of Medical Sciences", 
          "id": "https://www.grid.ac/institutes/grid.411705.6", 
          "name": [
            "Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lodhi", 
        "givenName": "Fahad Saqib", 
        "id": "sg:person.01203177015.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01203177015.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Academic Center for Education, Culture and Research", 
          "id": "https://www.grid.ac/institutes/grid.417689.5", 
          "name": [
            "Academic Center for Education, Culture and Research, Institute for health Sciences Research, Tehran, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Montazeri", 
        "givenName": "Ali", 
        "id": "sg:person.01340765103.70", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01340765103.70"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tehran University of Medical Sciences", 
          "id": "https://www.grid.ac/institutes/grid.411705.6", 
          "name": [
            "Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nedjat", 
        "givenName": "Saharnaz", 
        "id": "sg:person.01200744016.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01200744016.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tehran University of Medical Sciences", 
          "id": "https://www.grid.ac/institutes/grid.411705.6", 
          "name": [
            "Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mahmoodi", 
        "givenName": "Mahmoud", 
        "id": "sg:person.014572371677.67", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014572371677.67"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ayub Medical College", 
          "id": "https://www.grid.ac/institutes/grid.414124.6", 
          "name": [
            "Community Medicine Department, Ayub Medical College, Abbottabad, Pakistan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Farooq", 
        "givenName": "Umer", 
        "id": "sg:person.01323306501.42", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01323306501.42"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tehran University of Medical Sciences", 
          "id": "https://www.grid.ac/institutes/grid.411705.6", 
          "name": [
            "Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yaseri", 
        "givenName": "Mehdi", 
        "id": "sg:person.01327641743.26", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01327641743.26"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tehran University of Medical Sciences", 
          "id": "https://www.grid.ac/institutes/grid.411705.6", 
          "name": [
            "Non-communicable Diseases Research Center, Tehran University of Medical Sciences, Tehran, Iran", 
            "Hematology-Oncology and Stem Cell Transplantation Research Center, Tehran University of Medical Sciences, Tehran, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kasaeian", 
        "givenName": "Amir", 
        "id": "sg:person.01100500352.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01100500352.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tehran University of Medical Sciences", 
          "id": "https://www.grid.ac/institutes/grid.411705.6", 
          "name": [
            "Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Holakouie-Naieni", 
        "givenName": "Kourosh", 
        "id": "sg:person.0723011021.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0723011021.44"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1002/sim.2808", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000012408"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11205-010-9724-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000194967", 
          "https://doi.org/10.1007/s11205-010-9724-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0048888", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009552701"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bjo.2007.124859", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010059211"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/b:qure.0000025583.28948.5b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012058682", 
          "https://doi.org/10.1023/b:qure.0000025583.28948.5b"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0898264306286198", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012632516"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0898264306286198", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012632516"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11205-013-0559-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017277728", 
          "https://doi.org/10.1007/s11205-013-0559-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0141385", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017534663"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/b:qure.0000018486.91360.00", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020939794", 
          "https://doi.org/10.1023/b:qure.0000018486.91360.00"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0895-4356(99)00123-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021128147"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s113874160000158x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021189321"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2288-12-37", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021408417", 
          "https://doi.org/10.1186/1471-2288-12-37"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11136-011-9845-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022393472", 
          "https://doi.org/10.1007/s11136-011-9845-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00038-010-0174-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023017924", 
          "https://doi.org/10.1007/s00038-010-0174-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.12669/pjms.305.5239", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026663185"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4236/health.2013.56128", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032094362"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1756-0500-5-346", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035144405", 
          "https://doi.org/10.1186/1756-0500-5-346"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2458-11-745", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036443870", 
          "https://doi.org/10.1186/1471-2458-11-745"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.328.7443.794", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042433850"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00127-008-0477-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044128676", 
          "https://doi.org/10.1007/s00127-008-0477-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00127-008-0477-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044128676", 
          "https://doi.org/10.1007/s00127-008-0477-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.sbspro.2013.06.636", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049831471"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1477-7525-5-61", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050594785", 
          "https://doi.org/10.1186/1477-7525-5-61"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(07)61446-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051033648"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0033291798006667", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054007361"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0033291798006667", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054007361"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1192/bjp.170.5.473", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064173179"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.15410/aijm/2016/v5i1/90352", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1067812651"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2340/16501977-0150", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070752817"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7860/jcdr/2014/6996.3917", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074080012"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077469309", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077665568", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1590/s0120-53072014000300005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079013262"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.17533/udea.iee.v32n3a05", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079013262"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.14196/mjiri.31.129", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103757175"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.30541/v46i4iipp.1137-1153", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1106480840"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1596/0-8213-5661-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1109731262"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "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).\nMETHODOLOGY: 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.\nRESULTS: A total of 2063 participants were included in this study (51.2% male, 48.2% female). Mean age of participants was 37.9, SD\u2009=\u200913.2; ranging from 18 to 90. Mean score of quality of life domains (physical, psychological, social relationship and environmental domains) were 65.0 (SD\u2009=\u200915.2), 67.4 (SD\u2009=\u200915.0), 72.0 (SD\u2009=\u200916.5), 55.5 (SD\u2009=\u200915.0), 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 (\u03b2\u2009=\u2009-\u20095.85, \u03b2\u2009=\u2009-\u20099.03, \u03b2\u2009=\u2009-\u20098.33, \u03b2\u2009=\u2009-\u20099.98, p\u2009<\u20090.001). 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 (\u03b2\u2009=\u20090.09, \u03b2\u2009=\u20090.13, \u03b2 =0.14, \u03b2 =0.15, p\u2009<\u20090.001) 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.\nCONCLUSIONS: Increasing 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.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s12955-018-1065-x", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1031326", 
        "issn": [
          "1477-7525"
        ], 
        "name": "Health and Quality of Life Outcomes", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "17"
      }
    ], 
    "name": "Assessing the quality of life among Pakistani general population and their associated factors by using the World Health Organization\u2019s quality of life instrument (WHOQOL-BREF): a population based cross-sectional study", 
    "pagination": "9", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "2c254803bd78c947b62d94cbbbabe676311f0a391e11762b37e23f0edb583c2d"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30642360"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101153626"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12955-018-1065-x"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1111402058"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12955-018-1065-x", 
      "https://app.dimensions.ai/details/publication/pub.1111402058"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T08:41", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000320_0000000320/records_101370_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs12955-018-1065-x"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s12955-018-1065-x'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12955-018-1065-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12955-018-1065-x'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12955-018-1065-x'


 

This table displays all metadata directly associated to this object as RDF triples.

239 TRIPLES      21 PREDICATES      64 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12955-018-1065-x schema:about anzsrc-for:11
2 anzsrc-for:1117
3 schema:author N36ead18626a746fb8cd337414cc9ad71
4 schema:citation sg:pub.10.1007/s00038-010-0174-z
5 sg:pub.10.1007/s00127-008-0477-z
6 sg:pub.10.1007/s11136-011-9845-3
7 sg:pub.10.1007/s11205-010-9724-2
8 sg:pub.10.1007/s11205-013-0559-5
9 sg:pub.10.1023/b:qure.0000018486.91360.00
10 sg:pub.10.1023/b:qure.0000025583.28948.5b
11 sg:pub.10.1186/1471-2288-12-37
12 sg:pub.10.1186/1471-2458-11-745
13 sg:pub.10.1186/1477-7525-5-61
14 sg:pub.10.1186/1756-0500-5-346
15 https://app.dimensions.ai/details/publication/pub.1077469309
16 https://app.dimensions.ai/details/publication/pub.1077665568
17 https://doi.org/10.1002/sim.2808
18 https://doi.org/10.1016/j.sbspro.2013.06.636
19 https://doi.org/10.1016/s0140-6736(07)61446-9
20 https://doi.org/10.1016/s0895-4356(99)00123-7
21 https://doi.org/10.1017/s0033291798006667
22 https://doi.org/10.1017/s113874160000158x
23 https://doi.org/10.1136/bjo.2007.124859
24 https://doi.org/10.1136/bmj.328.7443.794
25 https://doi.org/10.1177/0898264306286198
26 https://doi.org/10.1192/bjp.170.5.473
27 https://doi.org/10.12669/pjms.305.5239
28 https://doi.org/10.1371/journal.pone.0048888
29 https://doi.org/10.1371/journal.pone.0141385
30 https://doi.org/10.14196/mjiri.31.129
31 https://doi.org/10.15410/aijm/2016/v5i1/90352
32 https://doi.org/10.1590/s0120-53072014000300005
33 https://doi.org/10.1596/0-8213-5661-5
34 https://doi.org/10.17533/udea.iee.v32n3a05
35 https://doi.org/10.2340/16501977-0150
36 https://doi.org/10.30541/v46i4iipp.1137-1153
37 https://doi.org/10.4236/health.2013.56128
38 https://doi.org/10.7860/jcdr/2014/6996.3917
39 schema:datePublished 2019-12
40 schema:datePublishedReg 2019-12-01
41 schema:description 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 (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. CONCLUSIONS: Increasing 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.
42 schema:genre research_article
43 schema:inLanguage en
44 schema:isAccessibleForFree true
45 schema:isPartOf N1b6b996963214042b558fce4cb3ba49d
46 N3048505b66d1477ea83070dcb7cac9e4
47 sg:journal.1031326
48 schema:name 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
49 schema:pagination 9
50 schema:productId N198b3fb8ea1745edbce30d43b570a747
51 N74bb542ccd2642359e6da20d6802316c
52 N917f621c8470431bb9180a2cc221b656
53 N9b4faffffab1424e86041e58a38f172a
54 Ndf3e6b3fbadb448e8b30008b51b35a02
55 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111402058
56 https://doi.org/10.1186/s12955-018-1065-x
57 schema:sdDatePublished 2019-04-11T08:41
58 schema:sdLicense https://scigraph.springernature.com/explorer/license/
59 schema:sdPublisher N3759e922236847bda78891840b938205
60 schema:url https://link.springer.com/10.1186%2Fs12955-018-1065-x
61 sgo:license sg:explorer/license/
62 sgo:sdDataset articles
63 rdf:type schema:ScholarlyArticle
64 N198b3fb8ea1745edbce30d43b570a747 schema:name dimensions_id
65 schema:value pub.1111402058
66 rdf:type schema:PropertyValue
67 N1b6b996963214042b558fce4cb3ba49d schema:volumeNumber 17
68 rdf:type schema:PublicationVolume
69 N279ae895b3044817841dc4ed6a5f8172 rdf:first sg:person.01323306501.42
70 rdf:rest N6ab3ea0f503a4a8aa879959fe9687f95
71 N3048505b66d1477ea83070dcb7cac9e4 schema:issueNumber 1
72 rdf:type schema:PublicationIssue
73 N36ead18626a746fb8cd337414cc9ad71 rdf:first sg:person.01203177015.19
74 rdf:rest N7ab16c8821bc4d4e8eb747b412d02ade
75 N3759e922236847bda78891840b938205 schema:name Springer Nature - SN SciGraph project
76 rdf:type schema:Organization
77 N6ab3ea0f503a4a8aa879959fe9687f95 rdf:first sg:person.01327641743.26
78 rdf:rest Nab1262c0638a4365a55d606e06cfac3c
79 N74bb542ccd2642359e6da20d6802316c schema:name nlm_unique_id
80 schema:value 101153626
81 rdf:type schema:PropertyValue
82 N7ab16c8821bc4d4e8eb747b412d02ade rdf:first sg:person.01340765103.70
83 rdf:rest Na40dc922593244b48825707ba6704017
84 N8bb341114c4f4038b6bfe1c3bbfa96c2 rdf:first sg:person.014572371677.67
85 rdf:rest N279ae895b3044817841dc4ed6a5f8172
86 N917f621c8470431bb9180a2cc221b656 schema:name pubmed_id
87 schema:value 30642360
88 rdf:type schema:PropertyValue
89 N98ebb050fd5f4ca0b376c21307b48048 rdf:first sg:person.0723011021.44
90 rdf:rest rdf:nil
91 N9b4faffffab1424e86041e58a38f172a schema:name doi
92 schema:value 10.1186/s12955-018-1065-x
93 rdf:type schema:PropertyValue
94 Na40dc922593244b48825707ba6704017 rdf:first sg:person.01200744016.11
95 rdf:rest N8bb341114c4f4038b6bfe1c3bbfa96c2
96 Nab1262c0638a4365a55d606e06cfac3c rdf:first sg:person.01100500352.04
97 rdf:rest N98ebb050fd5f4ca0b376c21307b48048
98 Ndf3e6b3fbadb448e8b30008b51b35a02 schema:name readcube_id
99 schema:value 2c254803bd78c947b62d94cbbbabe676311f0a391e11762b37e23f0edb583c2d
100 rdf:type schema:PropertyValue
101 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
102 schema:name Medical and Health Sciences
103 rdf:type schema:DefinedTerm
104 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
105 schema:name Public Health and Health Services
106 rdf:type schema:DefinedTerm
107 sg:journal.1031326 schema:issn 1477-7525
108 schema:name Health and Quality of Life Outcomes
109 rdf:type schema:Periodical
110 sg:person.01100500352.04 schema:affiliation https://www.grid.ac/institutes/grid.411705.6
111 schema:familyName Kasaeian
112 schema:givenName Amir
113 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01100500352.04
114 rdf:type schema:Person
115 sg:person.01200744016.11 schema:affiliation https://www.grid.ac/institutes/grid.411705.6
116 schema:familyName Nedjat
117 schema:givenName Saharnaz
118 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01200744016.11
119 rdf:type schema:Person
120 sg:person.01203177015.19 schema:affiliation https://www.grid.ac/institutes/grid.411705.6
121 schema:familyName Lodhi
122 schema:givenName Fahad Saqib
123 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01203177015.19
124 rdf:type schema:Person
125 sg:person.01323306501.42 schema:affiliation https://www.grid.ac/institutes/grid.414124.6
126 schema:familyName Farooq
127 schema:givenName Umer
128 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01323306501.42
129 rdf:type schema:Person
130 sg:person.01327641743.26 schema:affiliation https://www.grid.ac/institutes/grid.411705.6
131 schema:familyName Yaseri
132 schema:givenName Mehdi
133 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01327641743.26
134 rdf:type schema:Person
135 sg:person.01340765103.70 schema:affiliation https://www.grid.ac/institutes/grid.417689.5
136 schema:familyName Montazeri
137 schema:givenName Ali
138 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01340765103.70
139 rdf:type schema:Person
140 sg:person.014572371677.67 schema:affiliation https://www.grid.ac/institutes/grid.411705.6
141 schema:familyName Mahmoodi
142 schema:givenName Mahmoud
143 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014572371677.67
144 rdf:type schema:Person
145 sg:person.0723011021.44 schema:affiliation https://www.grid.ac/institutes/grid.411705.6
146 schema:familyName Holakouie-Naieni
147 schema:givenName Kourosh
148 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0723011021.44
149 rdf:type schema:Person
150 sg:pub.10.1007/s00038-010-0174-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1023017924
151 https://doi.org/10.1007/s00038-010-0174-z
152 rdf:type schema:CreativeWork
153 sg:pub.10.1007/s00127-008-0477-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1044128676
154 https://doi.org/10.1007/s00127-008-0477-z
155 rdf:type schema:CreativeWork
156 sg:pub.10.1007/s11136-011-9845-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022393472
157 https://doi.org/10.1007/s11136-011-9845-3
158 rdf:type schema:CreativeWork
159 sg:pub.10.1007/s11205-010-9724-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000194967
160 https://doi.org/10.1007/s11205-010-9724-2
161 rdf:type schema:CreativeWork
162 sg:pub.10.1007/s11205-013-0559-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017277728
163 https://doi.org/10.1007/s11205-013-0559-5
164 rdf:type schema:CreativeWork
165 sg:pub.10.1023/b:qure.0000018486.91360.00 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020939794
166 https://doi.org/10.1023/b:qure.0000018486.91360.00
167 rdf:type schema:CreativeWork
168 sg:pub.10.1023/b:qure.0000025583.28948.5b schema:sameAs https://app.dimensions.ai/details/publication/pub.1012058682
169 https://doi.org/10.1023/b:qure.0000025583.28948.5b
170 rdf:type schema:CreativeWork
171 sg:pub.10.1186/1471-2288-12-37 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021408417
172 https://doi.org/10.1186/1471-2288-12-37
173 rdf:type schema:CreativeWork
174 sg:pub.10.1186/1471-2458-11-745 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036443870
175 https://doi.org/10.1186/1471-2458-11-745
176 rdf:type schema:CreativeWork
177 sg:pub.10.1186/1477-7525-5-61 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050594785
178 https://doi.org/10.1186/1477-7525-5-61
179 rdf:type schema:CreativeWork
180 sg:pub.10.1186/1756-0500-5-346 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035144405
181 https://doi.org/10.1186/1756-0500-5-346
182 rdf:type schema:CreativeWork
183 https://app.dimensions.ai/details/publication/pub.1077469309 schema:CreativeWork
184 https://app.dimensions.ai/details/publication/pub.1077665568 schema:CreativeWork
185 https://doi.org/10.1002/sim.2808 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000012408
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1016/j.sbspro.2013.06.636 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049831471
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1016/s0140-6736(07)61446-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051033648
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1016/s0895-4356(99)00123-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021128147
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1017/s0033291798006667 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054007361
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1017/s113874160000158x schema:sameAs https://app.dimensions.ai/details/publication/pub.1021189321
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1136/bjo.2007.124859 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010059211
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1136/bmj.328.7443.794 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042433850
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1177/0898264306286198 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012632516
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1192/bjp.170.5.473 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064173179
204 rdf:type schema:CreativeWork
205 https://doi.org/10.12669/pjms.305.5239 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026663185
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1371/journal.pone.0048888 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009552701
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1371/journal.pone.0141385 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017534663
210 rdf:type schema:CreativeWork
211 https://doi.org/10.14196/mjiri.31.129 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103757175
212 rdf:type schema:CreativeWork
213 https://doi.org/10.15410/aijm/2016/v5i1/90352 schema:sameAs https://app.dimensions.ai/details/publication/pub.1067812651
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1590/s0120-53072014000300005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079013262
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1596/0-8213-5661-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1109731262
218 rdf:type schema:CreativeWork
219 https://doi.org/10.17533/udea.iee.v32n3a05 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079013262
220 rdf:type schema:CreativeWork
221 https://doi.org/10.2340/16501977-0150 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070752817
222 rdf:type schema:CreativeWork
223 https://doi.org/10.30541/v46i4iipp.1137-1153 schema:sameAs https://app.dimensions.ai/details/publication/pub.1106480840
224 rdf:type schema:CreativeWork
225 https://doi.org/10.4236/health.2013.56128 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032094362
226 rdf:type schema:CreativeWork
227 https://doi.org/10.7860/jcdr/2014/6996.3917 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074080012
228 rdf:type schema:CreativeWork
229 https://www.grid.ac/institutes/grid.411705.6 schema:alternateName Tehran University of Medical Sciences
230 schema:name Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
231 Hematology-Oncology and Stem Cell Transplantation Research Center, Tehran University of Medical Sciences, Tehran, Iran
232 Non-communicable Diseases Research Center, Tehran University of Medical Sciences, Tehran, Iran
233 rdf:type schema:Organization
234 https://www.grid.ac/institutes/grid.414124.6 schema:alternateName Ayub Medical College
235 schema:name Community Medicine Department, Ayub Medical College, Abbottabad, Pakistan
236 rdf:type schema:Organization
237 https://www.grid.ac/institutes/grid.417689.5 schema:alternateName Academic Center for Education, Culture and Research
238 schema:name Academic Center for Education, Culture and Research, Institute for health Sciences Research, Tehran, Iran
239 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...