Validity evaluation of the Health Information Preferences Questionnaire among college students
Bibliographic Data
| ID | 22091383 |
|---|---|
| Authors | Kaiqi Tang (Guizhou Normal University), Junfeng Yuan (0009-0008-6744-725X, Guizhou Normal University), Lin Luo (0000-0002-2662-3324, Guizhou Normal University, corresponding author) |
| Year | 2024 |
| Volume | 12 |
| Pages | 1249621-1249621 |
| Publication date | 2024-03-27 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2024.1249621 |
| PMID | 38601501 |
| OpenAlex | W4393231284 |
| Language | EN |
| References cited | 38 |
Objective: This study aims to explore the association between health information preferences and specific health behaviors and outcomes, such as preventive measures and chronic disease management among college students. It assesses how different levels of health information preference influence individuals' utilization, perception, and self-efficacy within healthcare and health information contexts. Given the rising prevalence of non-communicable chronic diseases among younger populations in China, this research seeks to understand how tailored health information preferences can support effective health education and behavioral interventions. The development of the Health Information Preference Questionnaire (HIPQ) aims to bridge the existing gap in tools for assessing health information preferences among Chinese college students, with a focus on collecting validity evidence to confirm the HIPQ's applicability in this group. Methods: = 1,593 for validation) and characteristics (age, major, urban vs. rural background) to enhance the understanding of the study's generalizability. Results: The HIPQ, comprising 25 items across five dimensions-prevention-oriented approaches, relationship with healthcare providers, self-efficacy in obtaining health information, perception of the importance of health information, and health information behavior-demonstrated excellent content validity (ICVI ranged from 0.72 to 0.86). Factor analysis confirmed significant loadings for each item across the anticipated factors, with fit indices (RMSEA = 0.065, CFI = 0.942) supporting good model fit. The HIPQ's reliability was underscored by Cronbach's alpha coefficients (>0.8) for each subscale, with significant correlations across all subscales, indicating strong internal consistency and construct validity. Conclusion: The HIPQ proves to be a reliable and valid instrument for assessing health information preferences among Chinese college students, highlighting its potential for broader application in health education and intervention strategies. Recognizing the study's focus on a specific demographic, future research should investigate the HIPQ's adaptability and utility in broader populations and different cultural settings. The study's limitations, including its concentrated demographic and context, invite further exploration into the HIPQ's applicability across diverse groups. Additionally, potential future research directions could include longitudinal studies to assess the impact of tailored health information on actual health outcomes and behaviors
CLARITY · Generalizability theory · Health care · Health education · Medical education · Moderation · Preference · Psychological intervention · Public health · Applied Psychology · Health Education and Validation · Health Literacy and Information Accessibility · Health Sciences Research and Education · Medicine · Nursing · Psychology · Social Psychology
Information Seeking Upon Exposure to Risk Messages
Current Concepts in Validity and Reliability for Psychometric Instruments
Guidance on how to develop complex interventions to improve health and healthcare
Validity
Impact of Covid-19 pandemic on utilisation of healthcare services
Cutoff criteria for fit indexes in covariance structure analysis
The content validity index
Online Health Information Seeking
Cultural Diversity in Health and Illness
Health information generation and utilization for informed decision-making in equitable health service management
These issues aren’t talked about at home”
Principles and Practice of Structural Equation Modeling
The digital divide
Alternative Ways of Assessing Model Fit
| Citation velocity | historical |
|---|---|
| Highly cited | No |