Irrational health beliefs as barriers to health behaviors: development and validation of a brief scale in a Japanese population

Health communication and public health research has shown that providing accurate, evidence-based information does not necessarily lead to appropriate health decisions or behaviors. Cognitive biases and irrational health beliefs may contribute to this gap by shaping how individuals interpret health information. However, practical tools for assessing such beliefs in population-based research remain limited. This study aimed to validate a Japanese version of the Irrational Health Belief Scale (IHBS) and to develop and validate a short form suitable for use in public health research. An online survey was conducted among 408 Japanese adults aged 20 to 69 years. Participants completed a Japanese version of the IHBS, as well as measures of health literacy, health locus of control, and health behaviors. Exploratory factor analysis (EFA) was used to examine the scale structure and to develop a short form based on factor loadings, conceptual coverage, and item distribution. Confirmatory factor analysis (CFA) of the 20-item IHBS was subsequently conducted to evaluate the fit of the proposed unidimensional structure. Internal consistency was assessed using Cronbach’s alpha, and construct and criterion-related validity were examined by exploring the associations with health literacy, health locus of control, and health-related behaviors. EFA indicated a largely unidimensional structure of the Japanese IHBS, and CFA showed a generally acceptable fit for the one-factor model. A 5-item short form of the IHBS was developed. Both the full scale and the short form showed acceptable internal consistency (Cronbach’s alpha = 0.91 and 0.78, respectively), and the two versions were highly correlated ( r = .90). Higher irrational health belief scores were associated with lower health literacy, lower internal health locus of control, higher chance health locus of control, and less favorable health behaviors. Irrational health beliefs appear to be a measurable and potentially modifiable cognitive determinant of health behaviors. The brief scale provides a concise tool for identifying individuals who may be more likely to misinterpret health information and may be useful in studies examining barriers to effective public health communication.

Authors

Institutions

Publication Details

Journal
BMC Public Health
Published
2026-10-09
DOI
https://doi.org/10.1186/s12889-026-29822-8
Primary Topic
Health and Wellbeing Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Irrational health beliefs as barriers to health behaviors: development and validation of a brief scale in a Japanese population

Alan J. Christensen, Hirono Ishikawa, Mio Kato, Satoru Kikuchi
BMC Public Health
Health and Wellbeing Research
article

Irrational health beliefs as barriers to health behaviors: development and validation of a brief scale in a Japanese population

Alan J. Christensen, Hirono Ishikawa, Mio Kato, Satoru Kikuchi
article en

Abstract

Health communication and public health research has shown that providing accurate, evidence-based information does not necessarily lead to appropriate health decisions or behaviors. Cognitive biases and irrational health beliefs may contribute to this gap by shaping how individuals interpret health information. However, practical tools for assessing such beliefs in population-based research remain limited. This study aimed to validate a Japanese version of the Irrational Health Belief Scale (IHBS) and to develop and validate a short form suitable for use in public health research. An online survey was conducted among 408 Japanese adults aged 20 to 69 years. Participants completed a Japanese version of the IHBS, as well as measures of health literacy, health locus of control, and health behaviors. Exploratory factor analysis (EFA) was used to examine the scale structure and to develop a short form based on factor loadings, conceptual coverage, and item distribution. Confirmatory factor analysis (CFA) of the 20-item IHBS was subsequently conducted to evaluate the fit of the proposed unidimensional structure. Internal consistency was assessed using Cronbach’s alpha, and construct and criterion-related validity were examined by exploring the associations with health literacy, health locus of control, and health-related behaviors. EFA indicated a largely unidimensional structure of the Japanese IHBS, and CFA showed a generally acceptable fit for the one-factor model. A 5-item short form of the IHBS was developed. Both the full scale and the short form showed acceptable internal consistency (Cronbach’s alpha = 0.91 and 0.78, respectively), and the two versions were highly correlated ( r = .90). Higher irrational health belief scores were associated with lower health literacy, lower internal health locus of control, higher chance health locus of control, and less favorable health behaviors. Irrational health beliefs appear to be a measurable and potentially modifiable cognitive determinant of health behaviors. The brief scale provides a concise tool for identifying individuals who may be more likely to misinterpret health information and may be useful in studies examining barriers to effective public health communication.

BMC Public Health
Shinshu University (JP), East Carolina University (US), National Institute of Infectious Diseases (JP), Shinshu University Hospital (JP), Teikyo University (JP)
Japan Society for the Promotion of Science
Good health and well-being
Openalex Percentile: Top 9%
Health and Wellbeing Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.