Share:
Peer-Reviewed Publication
PLOS Glob Public Health2026;6(6):e0006472.January 1, 2026Journal Article

Happiness and hypertension prevalence: A global analysis.

Moosa Tatar1, Amir Habibdoust2, Soheila Farokhi3, Mohammad Reza Faraji4, José A Pagán5, Xing Song6
1Department of Pharmaceutical Health Outcomes and Policy, University of Houston, Houston, Texas, United States of America.
2Institute for Data Science and Informatics, University of Missouri-Columbia, Columbia, Missouri, United States of America.
3Department of Computer Science, Utah State University, Salt Lake City, Utah, United States of America.
4Strive Health, Denver, Colorado, United States of America.
5Department of Public Health Policy and Management, School of Global Public Health, New York University, New York, New York, United States of America.
6Department of Biomedical Informatics, Biostatistics, and Medical Epidemiology, University of Missouri-Columbia, Columbia, Missouri, United States of America.

Abstract

The prevalence of hypertension around the world is high while hypertension control is relatively low. The objective of this study is to investigate the association between happiness and hypertension prevalence across countries. We used World Happiness Report (WHR) data, NCD (non-communicable disease) Risk Factor Collaboration (NCD-RisC) data, and machine learning methods (K-means clustering, XGBoo…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.