Evidence map›Paper›PMID 40842938›Full record

ReviewJournal of multimorbidity and comorbidity

Review of multimorbidity in Saudi Arabia: Prevalence, gender differences, and common chronic diseases.

Nawaf Alnuwaysir, Haifa Alturki, Basem Almalki, Lujain Bin Amer, Reem Alotaibi

Abstract readReview
In one paragraph

Review in Journal of multimorbidity and comorbidity. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
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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

5 authors.

Nawaf AlnuwaysirDepartment of Community Health Sciences, King Saud University, Riyadh, Saudi Arabia.ORCID https://orcid.org/0009-0007-6869-5274
Haifa AlturkiDepartment of Health Sciences, College of Health and Rehabilitation Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.ORCID https://orcid.org/0009-0000-6048-8528
Basem AlmalkiIndependent Researcher in Epidemiology and Biostatistics, Graduate of Jazan University, Riyadh, Saudi Arabia.
Lujain Bin AmerCollege of Public Health, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.
Reem AlotaibiDepartment of Community Health Sciences, King Saud University, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Multimorbidity, defined as the coexistence of two or more chronic diseases in a single individual, is a growing public health challenge globally and particularly in Saudi Arabia. Aims: This narrative review aims to synthesize existing literature on multimorbidity in Saudi Arabia by examining its prevalence, identifying gender-based differences, and highlighting the most commonly associated chronic diseases. Methods: A structured search was conducted using PubMed, Google Scholar, and institutional databases, including Scopus and Web of Science, for English-language studies on multimorbidity in Saudi Arabia published between 2015 and 2025. Boolean operators were applied, and reference lists were screened to ensure comprehensive coverage while minimizing duplication. A total of 17 studies were included, and data were extracted on study design, population, sample size, multimorbidity prevalence, and gender-specific findings. These were analyzed thematically to identify patterns, disparities in gender, and disease clusters. Results: Multimorbidity prevalence in Saudi Arabia ranged from 7.1% to 77.6%, with notably higher rates among women, especially in older age groups. Among the five studies that reported disease-specific patterns, diabetes mellitus was the most frequently cited chronic condition, ranking first in three studies. Other frequently reported conditions included hypertension and dyslipidemia, though their ranking varied across studies. Conclusion: This review highlights the evolving landscape of multimorbidity in Saudi Arabia. Findings call for gender-sensitive, integrated care models that address the clustering of chronic conditions. To address persistent gaps, future research should prioritize mental health integration, early-onset multimorbidity, and ensuring better representation of rural populations. Policymakers should invest in national screening programs, strengthen data systems, and embed equity into care delivery in line with Vision 2030 reforms.

Indexed as

chronic diseasesgender differencesmultimorbidityprevalenceSaudi Arabia

Identifiers

PMID40842938
PMCPMC12365373

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.