Socioeconomic determinants of multimorbidity among migrants undergoing regularization in Geneva, Switzerland - EP3.5 - Study aims, methods, results and conclusions

Sep 30, 2026

Assessing how socioeconomic factors before and after migration influence multimorbidity among undocumented migrants and migrants undergoing regularization in Geneva across four follow-up waves. Data come from the Parchemins prospective cohort, using 18 self-reported health disorders grouped by body system to construct basic multimorbidity and complex multimorbidity. Longitudinal logistic regression links material, psycho-social, behavioural, and structural determinants to multimorbidity development, highlighting education, employment type, salary and savings, accommodation, physical activity, and regularization effects.

LanguageEnglish

CategoryHealthcare

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Pages1

Reading Time3 min

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Abstract overview

Aims and objectives

Methods

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Conclusions

vi150 European Journal of Public Health, Vol. 35, Supplement 6, 2025 Abstract citation ID: ckaf180.417 147 Socioeconomic determinants of multimorbidity among migrants undergoing regularization in Geneva, Switzerland Janeth Tenorio Mucha1 and Yves Jackson2 1LIVES, Swiss Centre of Expertise in Life Course Research, University of Geneva, Geneva, Switzerland 2Division of Primary Care Medicine, Geneva University Hospital and University of Geneva, Geneva, Switzerland, Geneva, Switzerland EP3.5, e-Poster Terminal 3, September 5, 2025, 13:05-13:30 Aims: We aimed to assess the influence of pre-and post-migration socioeconomic determinants and the likelihood of developing multimorbidity in a cohort of undocumented migrants and migrants undergoing regularization over four follow-up waves. Methods: We used data from the “Parchemins study”, a prospective cohort study that followed migrants as they are regularized in Geneva, Switzerland. We used data on 18 self-reported health disorders, grouped them by body system, and then created the variables of basic multimorbidity (co-occurrence of two or more health disorders) and complex multimorbidity (disorders affecting three or more body systems) . We used longitudinal logistic regression to assess the association of the material, psycho-social, behavioural, and structural determinants distinguished by migration stage (preand-post) with the development of multimorbidity. Results: The presence of basic multimorbidity is 50.1%, 55.6%, 54.2% and 54.2% in waves 1, 2, 3, and 4, respectively, while for complex multimorbidity is 21.0% 27.3%, 25.0%, and 26.9%, respectively. Higher education attainment is associated with less probability of developing complex multimorbidity compared with less than secondary. Participants who work in food preparation are less likely to develop complex multimorbidity, circulatory and musculoskeletal disorders compared to those who work as cleaners and helpers. Higher salary, having emergency savings and good accommodation status are protective factors for the development of multimorbidity outcomes. There is a clear association between being physically active with less likelihood of developing multimorbidity. Undergoing regularization showed a protective effect for developing multimorbidity outcomes, cardiovascular, musculoskeletal and mental disorders, but no for metabolic disorders. Conclusions: Post-migration determinants are more influential for the development of multimorbidity than pre-migration determinants. To prevent multimorbidity among irregular migrants, we need to improve work conditions for high-risk jobs, support regularization, and promote physical activity.

FAQs

What population and follow-up design does the study use?

The study analyzes a cohort of undocumented migrants and migrants undergoing regularization in Geneva, tracked over four follow-up waves.

How is multimorbidity defined and measured?

Multimorbidity is derived from 18 self-reported health disorders grouped by body system, forming basic multimorbidity (two or more disorders) and complex multimorbidity (three or more body systems).

Which factors are associated with lower or higher risk of multimorbidity?

Higher education and higher salary, having emergency savings, good accommodation, physical activity, and undergoing regularization are protective. Certain work types, compared with cleaners and helpers, show lower odds for complex multimorbidity and specific disorder categories.

Sep 30, 2026

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