Evaluation of low-and middle-income countries according to cardiovascular disease risk factors by using pythagorean fuzzy AHP and TOPSIS methods.

IF 3.3 3区医学 Q2 MEDICAL INFORMATICS

BMC Medical Informatics and Decision Making Pub Date : 2024-11-28 DOI:10.1186/s12911-024-02769-9

Gizem Zevde Aydın, Barış Özkan

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引用次数: 0

Abstract

Background: Cardiovascular disease risk factors play a crucial role in determining individuals' future health status and significantly affect health. This paper aimed to address cardiovascular disease risk factors in low- and middle-income countries using multi-criteria decision-making methods.

Methods: In line with this objective, 22 evaluation criteria were identified. Due to the unequal importance levels of the criteria, the interval-valued Pythagorean Fuzzy AHP (PF-AHP) method was employed for weighting. The TOPSIS method was utilized to rank the countries.

Results: The application of interval-valued PF-AHP revealed that metabolic, behavioral, and economic factors are more important in contributing to disease risk. Among adults, tobacco use prevalence was identified as the most significant risk factor. According to the TOPSIS method, Lebanon, Jordan, Solomon Islands, Serbia, and Bulgaria ranked highest, while Timor Leste, Benin, Ghana, Niger, and Ethiopia ranked lowest.

Conclusions: Identifying disease risk factors and preventing or reducing risks are crucial in combating cardiovascular diseases. Therefore, it is recommended that countries ranking higher take remedial actions to reduce disease risk.

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运用毕达哥拉斯模糊层次分析法和TOPSIS法对中低收入国家心血管疾病危险因素进行评价。

背景：心血管疾病危险因素在决定个体未来健康状况中起着至关重要的作用，并显著影响健康。本文旨在解决心血管疾病的危险因素在低收入和中等收入国家使用多标准决策方法。方法：根据这一目的，确定22项评价标准。由于各指标的重要程度不等，采用区间值毕达哥拉斯模糊层次分析法（PF-AHP）进行加权。TOPSIS方法被用来对国家进行排名。结果：区间值PF-AHP的应用表明，代谢、行为和经济因素对疾病风险的影响更为重要。在成年人中，烟草使用流行被确定为最重要的危险因素。根据TOPSIS方法，黎巴嫩、约旦、所罗门群岛、塞尔维亚、保加利亚排名最高，而东帝汶、贝宁、加纳、尼日尔、埃塞俄比亚排名最低。结论：识别疾病危险因素，预防或减少危险因素对防治心血管疾病至关重要。因此，建议排名较高的国家采取补救行动，减少疾病风险。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

BMC Medical Informatics and Decision Making 医学-医学：信息

CiteScore

7.20

自引率

5.70%

发文量

297

审稿时长

1 months

期刊介绍： BMC Medical Informatics and Decision Making is an open access journal publishing original peer-reviewed research articles in relation to the design, development, implementation, use, and evaluation of health information technologies and decision-making for human health.