Characteristics and influencing factors of self-management behaviors of hypertensive patients in areas with concentrated ethnic minorities on plateau: a latent profile analysis

BACKGROUNDS: Hypertension remains a major public health challenge in China, especially in high-altitude ethnic minority areas where prevalence is high but awareness, treatment, and control rates remain low. Self-management is crucial for delaying complications and improving quality of life, yet previous studies have mainly focused on low-altitude areas and Han Chinese populations and have largely relied on total-score comparisons. Because self-management is multidimensional, such approaches may obscure population heterogeneity. Latent profile analysis (LPA) can identify subgroups with distinct behavior patterns, but evidence in hypertensive patients from high-altitude ethnic minority areas is scarce. This study aimed to identify latent profiles of self-management behaviors in this population and to examine factors associated with profile membership. METHODS: A cross-sectional study was conducted between December 2024 and May 2025 among hypertensive patients attending Gannan Tibetan Autonomous Prefecture People's Hospital. Latent profile analysis was performed to identify distinct self-management behavior profiles. Multinomial logistic regression was subsequently used to examine factors associated with profile membership, including self-efficacy, social support, chronic disease health literacy, age, ethnicity, smoking, and drinking. RESULTS: Three distinct profiles of self-management behaviors were identified: 1) a comprehensive management type, characterized by consistently good performance across all behavioral dimensions; 2) a low treatment management type, marked by poor medication adherence and inadequate blood pressure monitoring; and 3) a low risk factor management type, characterized by weak control of smoking, alcohol use, and work-related stress. Multiple logistic regression analyses demonstrated that self-efficacy played a role in each patient group, while social support, chronic disease-related health literacy, ethnicity, and dietary habits only exerted corresponding effects in specific patient subgroups. CONCLUSIONS: Self-management behaviors among patients with hypertension in high-altitude ethnic minority regions exhibited substantial heterogeneity, yielding three distinct latent profiles with clearly differentiated characteristics. The study found that self-efficacy played a role across all three behavioral categories, facilitating early identification of individuals who require intervention. Concurrently, clinical practice and public health interventions can implement stratified, precision-based management strategies tailored to the primary factors that influence different patient populations.

Authors

Institutions

Publication Details

Journal
BMC Public Health
Published
2026-06-12
DOI
https://doi.org/10.1186/s12889-026-27956-3
Primary Topic
High Altitude and Hypoxia
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Characteristics and influencing factors of self-management behaviors of hypertensive patients in areas with concentrated ethnic minorities on plateau: a latent profile analysis

Dongli She, Lin Han, Jinjiu Hu, Haixia Wu et al.
BMC Public Health
High Altitude and Hypoxia
article

Characteristics and influencing factors of self-management behaviors of hypertensive patients in areas with concentrated ethnic minorities on plateau: a latent profile analysis

Dongli She, Lin Han, Jinjiu Hu, Haixia Wu, Zhuoya Zhang
article en

Abstract

BACKGROUNDS: Hypertension remains a major public health challenge in China, especially in high-altitude ethnic minority areas where prevalence is high but awareness, treatment, and control rates remain low. Self-management is crucial for delaying complications and improving quality of life, yet previous studies have mainly focused on low-altitude areas and Han Chinese populations and have largely relied on total-score comparisons. Because self-management is multidimensional, such approaches may obscure population heterogeneity. Latent profile analysis (LPA) can identify subgroups with distinct behavior patterns, but evidence in hypertensive patients from high-altitude ethnic minority areas is scarce. This study aimed to identify latent profiles of self-management behaviors in this population and to examine factors associated with profile membership. METHODS: A cross-sectional study was conducted between December 2024 and May 2025 among hypertensive patients attending Gannan Tibetan Autonomous Prefecture People's Hospital. Latent profile analysis was performed to identify distinct self-management behavior profiles. Multinomial logistic regression was subsequently used to examine factors associated with profile membership, including self-efficacy, social support, chronic disease health literacy, age, ethnicity, smoking, and drinking. RESULTS: Three distinct profiles of self-management behaviors were identified: 1) a comprehensive management type, characterized by consistently good performance across all behavioral dimensions; 2) a low treatment management type, marked by poor medication adherence and inadequate blood pressure monitoring; and 3) a low risk factor management type, characterized by weak control of smoking, alcohol use, and work-related stress. Multiple logistic regression analyses demonstrated that self-efficacy played a role in each patient group, while social support, chronic disease-related health literacy, ethnicity, and dietary habits only exerted corresponding effects in specific patient subgroups. CONCLUSIONS: Self-management behaviors among patients with hypertension in high-altitude ethnic minority regions exhibited substantial heterogeneity, yielding three distinct latent profiles with clearly differentiated characteristics. The study found that self-efficacy played a role across all three behavioral categories, facilitating early identification of individuals who require intervention. Concurrently, clinical practice and public health interventions can implement stratified, precision-based management strategies tailored to the primary factors that influence different patient populations.

BMC Public Health
Lanzhou University of Technology (CN), Gansu Provincial Hospital (CN), Tibet Autonomous Region People's Hospital (CN), Children's Hospital of Chongqing Medical University (CN), Lanzhou University (CN), Chongqing Medical University (CN)
National Natural Science Foundation of China
Quality Education
Openalex Percentile: Top 6%
High Altitude and Hypoxia
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.