ArticleInternational journal of preventive medicine2013
Application of WHOQOL-BREF in Measuring Quality of Life in Health-Care Staff.
Article in International journal of preventive medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.
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Who cites it
57 citing papers in PubMed, 97 citations in OpenAlex.
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- Efficacy of Virtual Reality Program for Mental Health Promotion in Pregnant Women.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2025Article
- Nurse Managers' Toxic Leadership Behaviors and Their Influence on Nurses' Quality of Life: A Cross-Sectional Study.Journal of nursing management · 2025Article
- Effects of physical training on coagulation parameters, interleukin-6, and angiotensin-converting enzyme-2 in COVID-19 survivors.Scientific reports · 2024Article
- Yoga and its effect on sperm genomic integrity, gene expression, telomere length and perceived quality of life in early pregnancy loss.Scientific reports · 2024Article
- Sexual dysfunction, marital relationship, and subjective quality of life among women with schizophrenia: Analytical case-control study.Indian journal of psychiatry · 2024Article
- Development and validation of a quality of healthy work environment instrument for shift nurses.BMC nursing · 2024Article
- Health-related quality of life and associated factors among health care providers in the northwest of Ethiopia: a multicenter cross-sectional study, 2023.Frontiers in public health · 2024Article
- Medication adherence and quality of life among geriatric patients: Insights from a hospital-based cross-sectional study in India.PloS one · 2024Article
- Article
- Living with and without an intestinal stoma: Factors that promote psychological well-being and self-care: A cross-sectional study.Nursing open · 2023Article
- Factors Associated with the Quality of Life among Family Caregivers of Cholangiocarcinoma Survivors in Northeastern Thailand.Asian Pacific journal of cancer prevention : APJCP · 2023Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe objective of this study was to evaluate the quality of life of Neyshabur health-care staff and some factors associated with it with use of WHOQOL-BREF scale.
methodsThis cross-sectional study was conducted on 522 staff of Neyshabur health-care centers from May to July 2011. Cronbach's alpha coefficient was applied to examine the internal consistency of WHOQOL-BREF scale; Pearson's correlation coefficient was used to determine the level of agreement between different domains of WHOQOL-BREF. Paired t-test was used to compare difference between score means of different domains. T-independent test was performed for group analysis and Multiple Linear Regression was used to control confounding effects.
resultsIn this study, a good internal consistency (α = 0.925) for WHOQOL-BREF and its four domains was observed. The highest and the lowest mean scores of WHOQOL-BREF domains was found for physical health domain (Mean = 15.26) and environmental health domain (Mean = 13.09) respectively. Backward multiple linear regression revealed that existence chronic disease in staff was significantly associated with four domains of WHOQOL-BREF, education years was associated with two domains (Psychological and Environmental) and sex was associated with psychological domain (P < 0.05).
conclusionsThe findings from this study confirm that the WHOQOL-BREF questionnaire is a reliable instrument to measure quality of life in health-care staff. From the data, it appears that Neyshabur health-care staff has WHOQOL-BREF scores that might be considered to indicate a relatively moderate quality of life.
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Identifiers
24049600PMC3775221W1595364980What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.