96 Prevalence and patterns of multiple long-term conditions amongst migrants in high-income countries: a systematic review

Abstract OP 33: Diseases and Interventions 1, B304 (FCSH), September 5, 2025, 09:00 - 10:00 Background Little is known about multiple long-term conditions (MLTCs) patterns in migrants. To aimed to synthesise evidence on the burden of MLTCs among migrant populations in high-income countries. Methods We searched five databases for studies reporting the prevalence of two or more health conditions among migrants in high-income countries between 2012 and 2024. The identified conditions were grouped into three categories: communicable, non-communicable-physical, and mental health. We explored the most commonly reported combined patterns of MLTCs (clusters) and summarised the findings using narrative synthesis and forest plots. Findings We included 165 studies reporting co-prevalence of two or more conditions in 3,491,883 migrants. The migrants were from a wide range of countries, but most studies were conducted in 22 countries mostly in Europe (97/165, 58.8%) and North America (53/165, 32.1%). 61.2% (101/165) reported on communicable-related clusters, 44.8% (74/165) on non-communicable-physical conditions clusters, and 33.3% (55/165) on mental health clusters. The most common clusters were communicable conditions: HIV-tuberculosis (TB) (32/101, 32%) and HIV-viral hepatitis (29/101, 29%). Highest in the non-communicable-physical cluster were diabetes-TB (10/74, 14%) and diabetes-hypertension (8/74, 11%). Mental health conditions were not often reported alongside non-communicable or communicable conditions, and common clusters were depression-PTSD (18/55, 32%) and depression-anxiety (17/55, 31%). Narrative review showed that migrant status, poor living conditions, time to diagnosis, and length of stay in the resident country were significant risk factors for developing and managing several conditions. Conclusions Migrants experience a significant burden of MLTCs, particularly a high burden of long-term communicable diseases. Mental health disorders appeared to be under-investigated in the context of other health needs. Interventions to address MLTCs in migrants must consider communicable diseases and mental health needs in addition to non-communicable diseases and integrate a holistic approach acknowledging the structural, systemic, and social determinants of health driving comorbid health needs.

Authors

Institutions

Publication Details

Journal
European Journal of Public Health
Published
2025-12-01
DOI
https://doi.org/10.1093/eurpub/ckaf180.206
Primary Topic
Migration, Health and Trauma
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

96 Prevalence and patterns of multiple long-term conditions amongst migrants in high-income countries: a systematic review

Manish Pareek, Winifred Ekezie, Ellen Hopwood, Rebecca F. Baggaley et al.
European Journal of Public Health
Migration, Health and Trauma
article

96 Prevalence and patterns of multiple long-term conditions amongst migrants in high-income countries: a systematic review

Manish Pareek, Winifred Ekezie, Ellen Hopwood, Rebecca F. Baggaley, Shirley Sze, Aiden Smith, Joshua Nazareth, Sian Jenkins, Ayesha Butt, Yogini Chudasama, Anneka Welford, Laura B Nellums, Dan Pan
article en

Abstract

Abstract OP 33: Diseases and Interventions 1, B304 (FCSH), September 5, 2025, 09:00 - 10:00 Background Little is known about multiple long-term conditions (MLTCs) patterns in migrants. To aimed to synthesise evidence on the burden of MLTCs among migrant populations in high-income countries. Methods We searched five databases for studies reporting the prevalence of two or more health conditions among migrants in high-income countries between 2012 and 2024. The identified conditions were grouped into three categories: communicable, non-communicable-physical, and mental health. We explored the most commonly reported combined patterns of MLTCs (clusters) and summarised the findings using narrative synthesis and forest plots. Findings We included 165 studies reporting co-prevalence of two or more conditions in 3,491,883 migrants. The migrants were from a wide range of countries, but most studies were conducted in 22 countries mostly in Europe (97/165, 58.8%) and North America (53/165, 32.1%). 61.2% (101/165) reported on communicable-related clusters, 44.8% (74/165) on non-communicable-physical conditions clusters, and 33.3% (55/165) on mental health clusters. The most common clusters were communicable conditions: HIV-tuberculosis (TB) (32/101, 32%) and HIV-viral hepatitis (29/101, 29%). Highest in the non-communicable-physical cluster were diabetes-TB (10/74, 14%) and diabetes-hypertension (8/74, 11%). Mental health conditions were not often reported alongside non-communicable or communicable conditions, and common clusters were depression-PTSD (18/55, 32%) and depression-anxiety (17/55, 31%). Narrative review showed that migrant status, poor living conditions, time to diagnosis, and length of stay in the resident country were significant risk factors for developing and managing several conditions. Conclusions Migrants experience a significant burden of MLTCs, particularly a high burden of long-term communicable diseases. Mental health disorders appeared to be under-investigated in the context of other health needs. Interventions to address MLTCs in migrants must consider communicable diseases and mental health needs in addition to non-communicable diseases and integrate a holistic approach acknowledging the structural, systemic, and social determinants of health driving comorbid health needs.

European Journal of Public HealthVol. 35(Supplement_6)
Population Council (IN), University of Leicester (GB), Aston University (GB), Glenfield Hospital (GB), University Hospitals of Leicester NHS Trust (GB), National Institute for Health and Care Research (GB), Farr Institute (GB), NIHR Research Delivery Network (GB), NIHR Leicester Biomedical Research Centre (GB), University College London (GB)
Openalex Percentile: Top 49%
Migration, Health and Trauma
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.