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February 22, 2026Discover Public Health0 citationsOpen Access

Cluster analysis of national survey data identifies biopsychosocial profiles of adults with diabetes in Chile

RCRosario Callejas-CalvoMCMartín J. Campos-SilvaAIAndrés Iturriaga-Jofré

Key Points

  • This study aims to categorize adults with diabetes in Chile based on biological and psychosocial factors.
  • Cross-sectional secondary analysis of the Chilean National Health Survey 2016–2017 data.
  • Inclusion of 652 adults aged 15 and older diagnosed with diabetes.
  • Twenty-two questions assessed diabetes onset, health conditions, and psychosocial factors.
  • Cluster analysis was used to create typologies based on the selected variables.
  • Seven distinct clusters were identified, representing various biopsychosocial profiles of participants with diabetes.
  • Two contrasting clusters were highlighted, showing significant differences in health, life habits, education, and socioeconomic status.
  • Findings indicate that psychosocial and structural determinants are important for understanding diabetes risk.

Abstract

Abstract Purpose To characterize participants with diabetes in the Chilean National Health Survey (ENS) 2016–2017 by grouping them into different typologies based on their biological and psychosocial factors. Methods A cross-sectional secondary analysis of ENS 2016–2017 data was conducted. The records of 652 participants aged 15 years old and older who reported having a health-professional diagnosis of diabetes were included. Twenty-two questions were chosen to represent factors associated with diabetes onset, health conditions, and psychosocial variables. Participants were grouped into typologies using cluster analysis, which were characterized statistically. Results 7 clusters were identified and interpreted as typologies of participants with diabetes distinguished by the distribution of the selected biopsychosocial variables. Two remarkably contrasting clusters were described in detail, highlighting differences in general health, life habits, educational level, and socioeconomic situation. Conclusion Participants with diabetes in ENS 2016–2017 exhibit heterogeneous biopsychosocial profiles. The contrast between high-risk and lower-risk clusters highlights that psychosocial and structural determinants co-occur with biological risk, supporting their inclusion in diabetes stratification and generating hypotheses for targeted prevention and management strategies.

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Cite This Study

Callejas-Calvo et al. (2026) studied this question.

synapsesocial.com/papers/699a9d7a482488d673cd3518https://doi.org/10.1186/s12982-026-01558-1
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