Evidence map›Paper›PMID 31586378›Full record

ArticleJournal of research in health sciences2019

Clustering of the Deadliest Diseases among Iranian Men from 1990 to 2016: A Growth Mixture Model Approach.

Nasrin Borumandnia, Hamid Alavi Majd, Naghmeh Khadembashi, Serveh Heidary

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Article in Journal of research in health sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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3 · Its place in the literature

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3 citing papers in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Nasrin BorumandniaUrology and Nephrology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Hamid Alavi MajdDepartment of Biostatistics, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran. alavimajd@gmail.com.
Naghmeh KhadembashiDepartment of English Language, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Serveh HeidaryDepartment of Biostatistics, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPaying attention to men's health seems quite important for a variety of reasons. We evaluated the change of mortality rates due to various causes in Iranian men over the past decades. STUDY

designA cross-sectional study.

methodsThe mortality rates for deadliest causes of diseases among Iranian men during 1990-2016 were extracted from the Global Burden of Disease (GBD) study. Latent Growth Mixture Models (LGMM) were applied to determine subgroups' cause of death. In this way, the causes within each group showed similar trends of mortality rates over time.

resultsThe LGMM clustered causes into 4 classes. Diabetes mellitus, hypertensive heart disease and neurological disorders have had increasing trend. Causes in class 2, including diarrhea, lower respiratory and other common infectious diseases, ischemic heart disease, ischemic stroke, neonatal disorders, and other non-communicable diseases manifested a slow decreasing trend. Most causes were allocated to 3rd class with a slow increase in mortality rates over time. Finally, within the last class, transport injuries and unintentional injuries revealed a decreasing trend.

conclusionMost factors have rising trend, despite the fact that some have shown a very slight downward trend. Consequently, according to the four distinguished clusters resulting from LGMM, it is essential to provide programs to attain the goal of access to prevention, treatment, and support for high-risk mortality factors.

Indexed as

Models, StatisticalAdultAgedCause of DeathCluster AnalysisCommunicable DiseasesCross-Sectional StudiesDiabetes MellitusHumansHypertensionIranLatent Class AnalysisMaleMiddle AgedNervous System DiseasesNoncommunicable DiseasesDisease clusteringGlobal burden of diseaseIranMen's health

Identifiers

PMID31586378
PMCPMC7183556

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