ArticleBMC public health2024
Psychometric properties of the social determinants of health questionnaire (SDH-Q): development and validation.
Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Person-Job Fit and Communication with Angry Patients Among Frontline Administrative Healthcare Staff: The Moderating Role of Job Tenure.Healthcare (Basel, Switzerland) · 2026Article
- Measurement and structural invariance of the social determinants of health questionnaire (SDH-Q) across countries.PloS one · 2026Article
- Exploring the determinants of wellbeing in university athletes: roles of athletic identity, mental energy, and social support.Frontiers in psychology · 2026Article
- Article
- Scale of employees' initiative for proactive health: development and validity testing.BMC psychology · 2025Article
- Development and psychometric properties of the nursing ethical decision-making ability scale.BMC medical ethics · 2025Article
- Motivational factors influencing radiography students' career choices: A survey study.Journal of education and health promotion · 2025Article
- Impact of Social Determinants on Quality of Life in Socioeconomically Disadvantaged Cancer Survivors: A Mixed-Methods Study.Cancer management and research · 2025Article
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6 authors.
Funding
Abstract
backgroundThe influence of social determinants of health (SDH) on sustainable development goals (SDG) has gained attention in recent years. However, there is a scarcity in the availability of valid and reliable instruments to assess the multiple aspects of SDH. Hence, this study was conducted to develop a brief self-reported measure for assessing SDH.
methodA cross-sectional survey was conducted among university undergraduate students in Nigeria. The study consisted of 300 participants in the EFA (males 55.7%, females 44.3%) and 430 participants in the CFA (males 54.0%, females 46.0%). Participants were selected using a convenience sampling approach to assess their perceptions regarding SDH. Content Validity Index (CVI), Face Validity Index (FVI), Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), Composite Reliability (CR), Average Variance Extracted (AVE), Cronbach's alpha, and Intraclass Correlation Coefficient (ICC) were computed to determine the psychometric properties of the newly developed SDH scale.
resultsIn the EFA, two factors were extracted (structural determinants of SDH and intermediary determinants of SDH), with all 20 items retained. The total variance explained by the EFA model was 61.8%, and the factor correlation was 0.178. The Cronbach's alpha values of the two factors were 0.917 and 0.939. In the CFA, the initial model did not fit the data well based on fit indices. After several re-specification of the model, the final re-specified measurement model demonstrated adequate fit factor structure of the SDH scale with two factors and 20 items (CFI = 0.943, TLI = 0.930, SRMR = 0.056, RMSEA = 0.053, RMSEA p-value = 0.220). The CR was 0.797 for structural determinants of SDH and 0.794 for intermediary determinants of SDH. The ICC was 0.938 for structural determinants of SDH and 0.941 for intermediary determinants of SDH.
conclusionThe findings indicate that the SDH scale has adequate psychometric properties and can be used to assess the perceived level of SDH. We recommended that this tool be tested in other populations with diverse age groups and other demographic characteristics.
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