A Health Belief Model-Based Measurement for Profiling Vulnerability to Brucellosis

Purpose To develop and validate a health belief model-based Brucellosis Health Beliefs Scale (BHBS) and identify belief profiles and demographic correlates. Method From June to December 2021, a cross-sectional survey included 261 convenience-sampled livestock keepers ( M age = 47.26, SD = 12.90; 65.90% male) from rural communities in Anhui, Ningxia, Xinjiang, and Liaoning in China. Exploratory structural equation modeling (ESEM) and multigroup ESEM assessed structure and invariance; latent profile analysis identified profiles; Bolck–Croon–Hagenaars and robust three-step procedure tested profile differences and correlates. Results A six-factor 30-item scale showed acceptable reliability and invariance across gender, age, education, and working years. Three profiles emerged: “passive protectors” (20.69%), “constrained protectors” (67.82%), and “active protectors” (11.49%). Older age ( OR = 1.030, p = .03) and higher income ( OR = 1.272, p = .03) were associated with higher odds of passive versus constrained membership. Discussion The BHBS identifies prevention-belief profiles to inform targeted public health social work interventions.

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Publication Details

Journal
Research on Social Work Practice
Published
2026-09-06
DOI
https://doi.org/10.1177/10497315261485278
Primary Topic
Brucella: diagnosis, epidemiology, treatment
Type
article
Field-Weighted Citation Impact
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A Health Belief Model-Based Measurement for Profiling Vulnerability to Brucellosis

Yujing Liao, Wenjie Duan, Yao Tang, Xue Chai
Research on Social Work Practice
Brucella: diagnosis, epidemiology, treatment
article

A Health Belief Model-Based Measurement for Profiling Vulnerability to Brucellosis

Yujing Liao, Wenjie Duan, Yao Tang, Xue Chai
article en

Abstract

Purpose To develop and validate a health belief model-based Brucellosis Health Beliefs Scale (BHBS) and identify belief profiles and demographic correlates. Method From June to December 2021, a cross-sectional survey included 261 convenience-sampled livestock keepers ( M age = 47.26, SD = 12.90; 65.90% male) from rural communities in Anhui, Ningxia, Xinjiang, and Liaoning in China. Exploratory structural equation modeling (ESEM) and multigroup ESEM assessed structure and invariance; latent profile analysis identified profiles; Bolck–Croon–Hagenaars and robust three-step procedure tested profile differences and correlates. Results A six-factor 30-item scale showed acceptable reliability and invariance across gender, age, education, and working years. Three profiles emerged: “passive protectors” (20.69%), “constrained protectors” (67.82%), and “active protectors” (11.49%). Older age ( OR = 1.030, p = .03) and higher income ( OR = 1.272, p = .03) were associated with higher odds of passive versus constrained membership. Discussion The BHBS identifies prevention-belief profiles to inform targeted public health social work interventions.

Research on Social Work Practice
Shihezi University (CN), East China University of Science and Technology (CN), Dalian Maritime University (CN)
Openalex Percentile: Top 9%
Brucella: diagnosis, epidemiology, treatment
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A Health Belief Model-Based Measurement for Profiling Vulnerability to Brucellosis — Yujing Liao, Wenjie Duan, et al. · Research on Social Work Practice (2026) | TGRS Research Map | TGRS