Evidence map›Paper›PMID 37050950›Full record

SynthesisFrontiers in public health2023

Social determinants of multimorbidity patterns: A systematic review.

Javier Álvarez-Gálvez, Esther Ortega-Martín, Jesús Carretero-Bravo, Celia Pérez-Muñoz, Víctor Suárez-Lledó, Begoña Ramos-Fiol

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
111citing papers in PubMed, 6 pooled it
28.3field-weighted citation impact, top 1% of its field
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

111 citing papers in PubMed, 6 syntheses or guidelines pooled it, 132 citations in OpenAlex.

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51 more citing papers are in PubMed but not listed here.

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

6 authors at 1 institution in 1 country.

Javier Álvarez-GálvezDepartment of Biomedicine, Biotechnology and Public Health, University of Cadiz, Cádiz, Spain.
Esther Ortega-MartínDepartment of Biomedicine, Biotechnology and Public Health, University of Cadiz, Cádiz, Spain.
Jesús Carretero-BravoDepartment of Biomedicine, Biotechnology and Public Health, University of Cadiz, Cádiz, Spain.
Celia Pérez-MuñozDepartment of Nursing and Physiotherapy, University of Cadiz, Cádiz, Spain.
Víctor Suárez-LledóDepartment of Biomedicine, Biotechnology and Public Health, University of Cadiz, Cádiz, Spain.
Begoña Ramos-FiolDepartment of Biomedicine, Biotechnology and Public Health, University of Cadiz, Cádiz, Spain.
Universidad de Cádiz · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Social determinants of multimorbidity are poorly understood in clinical practice. This review aims to characterize the different multimorbidity patterns described in the literature while identifying the social and behavioral determinants that may affect their emergence and subsequent evolution. We searched PubMed, Embase, Scopus, Web of Science, Ovid MEDLINE, CINAHL Complete, PsycINFO and Google Scholar. In total, 97 studies were chosen from the 48,044 identified. Cardiometabolic, musculoskeletal, mental, and respiratory patterns were the most prevalent. Cardiometabolic multimorbidity profiles were common among men with low socioeconomic status, while musculoskeletal, mental and complex patterns were found to be more prevalent among women. Alcohol consumption and smoking increased the risk of multimorbidity, especially in men. While the association of multimorbidity with lower socioeconomic status is evident, patterns of mild multimorbidity, mental and respiratory related to middle and high socioeconomic status are also observed. The findings of the present review point to the need for further studies addressing the impact of multimorbidity and its social determinants in population groups where this problem remains invisible (e.g., women, children, adolescents and young adults, ethnic groups, disabled population, older people living alone and/or with few social relations), as well as further work with more heterogeneous samples (i.e., not only focusing on older people) and using more robust methodologies for better classification and subsequent understanding of multimorbidity patterns. Besides, more studies focusing on the social determinants of multimorbidity and its inequalities are urgently needed in low- and middle-income countries, where this problem is currently understudied.

Indexed as

Cardiovascular DiseasesMultimorbidityAdolescentAgedChildFemaleHumansMaleSocial ClassSocial Determinants of HealthSocioeconomic FactorsYoung Adultbehavioral determinantschronic conditionschronicitycomorbiditymultimorbiditysocial determinants

Identifiers

PMID37050950
PMCPMC10084932
OpenAlexW4360983064

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.