Evidence map›Paper›PMID 32080215›Full record

ArticleScientific reports2020

The patterns of Non-communicable disease Multimorbidity in Iran: A Multilevel Analysis.

Zahra Khorrami, Maysam Rezapour, Koorosh Etemad, Shahin Yarahmadi, Soheila Khodakarim, Alireza Mahdavi Hezaveh, Mohammadesmail Kameli, Narges Khanjani

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Zahra KhorramiNeurology Research Center, Kerman University of Medical Sciences, Kerman, Iran.
Maysam RezapourSchool of Nursing and Midwifery Amol, Mazandaran University of Medical Sciences, Sari, Iran.
Koorosh EtemadDepartment of Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Shahin YarahmadiEndocrine and Metabolic Diseases Office, Center for Noncommunicable Disease Control, Ministry of Health and Medical Education, Tehran, Iran.
Soheila KhodakarimSchool of Allied Medical Sciences, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Alireza Mahdavi HezavehCenter for Noncommunicable Disease Control, Ministry of Health and Medical Education, Tehran, Iran.
Mohammadesmail KameliDepartment of Community Medicine, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Narges KhanjaniNeurology Research Center, Kerman University of Medical Sciences, Kerman, Iran. n_khanjani@kmu.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevalence of non-communicable diseases is increasing worldwide. Multimorbidity and long-term medical conditions is common among these patients. This study aimed to investigate the patterns of non-communicable disease multimorbidity and their risk factors at the individual and aggregated level. Data was inquired from the nationwide survey performed in 2011, according to the WHO stepwise approach on NCD risk factors. A latent class analysis on multimorbidity components (11 chronic diseases) was performed and the association of some individual and aggregated risk factors (urbanization) with the latent subclasses was accessed using multilevel multinomial logistic regression. Latent class analysis revealed four distinct subclasses of multimorbidity among the Iranian population (10069 participants). Musculoskeletal diseases and asthma classes were seen in both genders. In males, the odds of membership in the diabetes class was 41% less by increasing physical activity; but with increased BMI, the odds of membership in the diabetes class was 1.90 times higher. Tobacco smoking increased the odds of membership in the musculoskeletal diseases class, 1.37 and 2.30 times for males and females, respectively. Increased BMI and low education increased the chances of females' membership in all subclasses of multimorbidity. At the province level, with increase in urbanization, the odds of membership in the diabetes class was 1.28 times higher among males (P = 0.027). Increased age, higher BMI, tobacco smoking and low education are the most important risk factors associated with NCD multimorbidity among Iranians. Interventions and policies should be implemented to control these risk factors.

Indexed as

Multilevel AnalysisMultimorbidityAdolescentAdultAgedChildConfidence IntervalsFemaleHumansIranLatent Class AnalysisLogistic ModelsMaleMiddle AgedNoncommunicable DiseasesOdds Ratio

Identifiers

PMID32080215
PMCPMC7033095

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.