ArticleScientific reports2019
Efficiency score from data envelopment analysis can predict the future onset of hypertension and dyslipidemia: A cohort study.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
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- Development of a future prediabetes risk assessment model for individuals with normal glucose levels using data envelopment analysis.PNAS nexus · 2026Article
- Hybrid quantum-classical stochastic programming for co-planning 5G base stations and photovoltaic power stations in urban communities.Scientific reports · 2025Article
- Response: Commentary: The ME-BYO index: a development and validation project of a novel comprehensive health index.Frontiers in public health · 2025Article
- Holistic Evaluation of the Gut Microbiota through Data Envelopment Analysis: A Cross-Sectional Study.Current developments in nutrition · 2024Article
- Is the Efficiency Score an Indicator for Incident Hypertension in the Community Population of Western China?International journal of environmental research and public health · 2021Article
- A Proposed Multi-Criteria Optimization Approach to Enhance Clinical Outcomes Evaluation for Diabetes Care: A Commentary.Health services research and managerial epidemiologyArticle
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Authors and funding
11 authors.
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Abstract
Primary prevention focuses on ensuring that healthy people remain healthy. As it is practically difficult to provide intervention for an entire healthy population, it is essential to identify and target the at risk of risks population. We aimed to distinguish at risk of risks population using data envelopment analysis (DEA). Efficiency score was calculated from the DEA using a cohort sample and its association with the onset of hypertension and dyslipidemia was analyzed. A stratification analysis was performed according to the number of conventional risk factors in participants. The adjusted odds ratios (aORs) of the incidence of hypertension and dyslipidemia according to a 0.1-point increase in efficiency score were 0.66 (90% confidence interval [CI] 0.55-0.78, p < 0.0001) and 0.84 (90% CI 0.75-0.94, p = 0.01), respectively. In the stratification analysis, aOR of the incidence of hypertension according to a 0.1-point increase in efficiency score was 0.57 (90% CI 0.37-0.89, p = 0.04) in participants with no conventional risk factors. Participants with lower efficiency score were suggested to be at high risk for future onset of hypertension and dyslipidemia. The DEA might enable us to identify the risk of hypertension where conventional methods might fail.
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