Contrary to beliefs that old age is plagued by frailty,

growing old while maintaining good health is possible.

Defined as the process of developing and maintaining functional ability that enables well-being in old age,

healthy ageing is a global priority.

Global demographic ageing.

Proposed sustainable solutions through digital health technology.

The success of a “healthy ageing agenda” is however conditional on strategies that work for everyone.

Older migrants

experience age-related changes while facing migrant-specific challenges,

represent a category of older adults whose specific risk factors are insufficiently addressed.

flowchart LR

    A["🌍 Ecological Factors<br/>• Culture<br/>• Social norms<br/>• Policies & regulations<br/>• Discrimination<br/>• Health systems"]
    
    B["🧠 Individual Factors<br/>• Mental health<br/>• Cellular changes<br/>• Socioeconomic resources<br/>• Coping & resilience<br/>• Language skills"]

    A <--> B

    D["🏥 Access & Quality of Care<br/>• Healthcare access<br/>• Cultural competence<br/>• Outreach & communication<br/>• Insurance coverage"]

    A --> D
    B --> D

    E["❤️ Individual Health Outcomes<br/>• Healthy ageing<br/>• Functional independence<br/>• Well-being<br/>• Disease risk"]

    F["📊 Population Health Outcomes<br/>• Health disparities<br/>• Unequal prevalence<br/>• System blind spots"]

    D --> E
    D --> F

    G["🚶 Migrant-Specific Challenges<br/>• Cultural mismatch<br/>• Isolation<br/>• Help-seeking barriers<br/>• Unmet expectations"]

    G --> D

Situations of complex vulnerability are responsible for health outcomes at individual and population levels.

Predicted probability of health insurance coverage. ‘More assimilated’ = citizens, speak English well, in the US for 29 years. ‘Less assimilated’ = noncitizens, poor English skills, in the US for 12 years

Predicted probability of health insurance coverage.

‘More assimilated’ = citizens, speak English well, in the US for 29 years.
‘Less assimilated’ = noncitizens, poor English skills, in the US for 12 years

Digital health associated with healthy ageing but

socio-economic-demographic disparities,
digital literacy gaps,
technology design limitations as well as
privacy and security concerns


remain insufficiently addressed.

There is inconsistent evidence regarding

which structural, psychological, technical, and ethical factors promote

the adoption, use, and effectiveness of digital technology for healthy ageing in migrant populations.

Essential is the knowledge, validation, and accommodation of diverse experiences.

The risk of being left behind otherwise grows exponentially for the individual.

Older migrants face unique challenges which are insufficiently addressed.

Inclusive solutions are delayed because of fragmented, unfocused and uncoordinated efforts.

One way forward is a collaborative-integrative strategy to longitudinally assess

health risk factors,
individual decision-making processes,
contextually relevant intervening factors,
and technological solutions meaningful to migrant older populations.

For each pillar,

challenges will be highlighted first
followed by set goals
and proposed solutions.

Challenges

Over-representation of WEIRD populations in the literature.

Low generalizability and limited clinical relevance of accessible samples.

Shifted standard to online modes of data collection favors individuals with technology access and digital skills.

Goals

Increase research participation among older migrants through cost-effective data collection methods.

Complementary recruitment and sampling strategies.

Special attention given to socially isolated, (pre-)frail, homeless and substance-abusing older migrants.

Solutions

Combine active recruitment and one of sampling strategies: social media, time-location, respondent driven.

Join efforts with community leaders and family members.

Adress travel logistics and costs.

Sampling from social media.

Sampling from social media.

Challenges

Older migrants treated as a homogeneous group.

Fragmented theory.

The unique effects of time, age, and cohort remain blurred.

Efficiency in disease diagnosis, prevention, and treatment is hindered by the pending integration of diverse perspectives.

Goals

Obtain longitudinal data that capture the complexity and diversity of risk factors and health needs of older migrants.

Solutions

Address the ‘when, how, why’ notions of ethnicity and culture in a social-constructivist paradigm.

Develop theory that integrates lifespan developmental and cultural adaptation explanations.

Leverage biographical insights to inform and complement quantitative assessment.

Apply the ‘convoy model’ and ‘social network theory’ to describe lifespan implications of changing social environment.

Address biases in self reports of individuals with cognitive impairment by involving family members and friends.

Integrate the perspective of health professionals.

Integrate biological and physiological explanations.

Effects on health of intersecting factors.

Effects on health of intersecting factors.

Challenges

Self-reports often yield low data quality which leads to fragmented theory.

Self-reports do not capture short-term fluctuations in risk factors and health outcomes.

Un-known solutions to complementing cognitive-demanding self-reports with more objective and non-invasive methods.

Complex pathology remains understudied.

Goals

Collect longitudinal data that integrate self-reports and digital data to continuously document the multimodal, intersectional, and evolving nature of ageing in a foreign country.

Solutions

Digital phenotyping (use personal digital devices to enhance accuracy of self-reports).

Reduce recall and selection biases, mitigate linguistic and cultural barriers through integration of passive sensing devices into study designs.

Improve digital literacy as a integral research strategy.

Digital phenotyping: a) learn then implement, b) continuous learning

Digital phenotyping: a) learn then implement, b) continuous learning

Challenges

Proposed solutions realistically integrate into existing systems and infrastructure that, overall, are non-inclusive.

An inclusive strategy tailored to older migrants will generate complex observations.

Migrant older populations may face hidden ethical risks.

Specific individuals may risk violations of their rights.

Goals

Develop an ecosystem that facilitates and promotes longitudinal assessment, evaluation, and intervention tailored to the health needs and constraints of older migrants.

Protect individuals from exacerbated vulnerabilities.

Coordination with policymakers and health and healthcare institutions.

Solutions

Leverage expertise and build on existent infrastructure.

Improve synergies by creating panels targeting migrant populations.

Address unknown ethical threats in processes of research co-production.

Include target populations and significant others in decision-making and research processes.

Involve law and policy makers to ensure the protection of indiviudals in situations of vulneratbility.

Create outreach campaigns to facilitate the research committed in the wider population.

An online series of expert talks and interviews to bridge knowledge gaps between recent scientific findings and the general public.

Conclusion

Older migrants represent one of the most overlooked yet rapidly growing segments of ageing societies, and their exclusion from mainstream healthy ageing research carries real consequences for their well-being, for health system equity, and for science itself.

Old age dependency 60+ in the world

Old age dependency 60+ in the world

Demographic pyramid EU countries after migration status

Demographic pyramid EU countries after migration status

This agenda is not merely a call for more research.

It is also a call for better research

Participatory, culturally responsive, and built on sustained partnerships with stakeholders and the communities it seeks to serve.

The inclusion of digital health technology in an inclusive fashion
is promising for extending the reach of health promotion and personalizing care.

Research, policies, technologies, and interventions must be developed with,

and not simply for, older migrants,

recognizing their diversity, agency, and rights.

Co-authors

Ana C. Teixeira-Santos, Bernd Weiß, Christin-Melanie Vauclair, Gabriela Christofoletti, Isabelle Albert, Ivana Paccoud, Jean-Paul Steinmetz, Juliana Ferreira, Klaus Boehnke, Niovi Vavoula

Contributors

Annika Heinz, Charles Agyemang, Celine Gaillard, Helena Korjonen, Jochen Klucken, Maria Noel Pi Alperin

Managing team

Dalia Dirmaite, Dominic Harion, Sofie van Herzeele

Funding

Institute of Advanced Studies (IAS) at the University of Luxembourg (U-AGR-6185-00-Z)

Fonds National de la Recherche Luxembourg (C23/SC/17995805)

Bibliography

Bosnjak, M., Dannwolf, T., Enderle, T., Schaurer, I., Struminskaya, B., Tanner, A., & Weynandt, K. W. (2018). Establishing an open probability-based mixed-mode panel of the general population in germany: The GESIS panel. Social Science Computer Review, 36(1), 103–115. https://doi.org/10.1177/0894439317697949
Chen, C., Ding, S., & Wang, J. (2023). Digital health for aging populations. Nature Medicine, 29, 1623–1630. https://doi.org/10.1038/s41591-023-02391-8
Dollmann, J., Mayer, S. J., Lietz, A., Siegel, M., & Köhler, J. (2023). DeZIM.panel – data from germany’s post-migrant society. Journal of Economics and Statistics, 243(1), 93–108. https://doi.org/10.1515/jbnst-2022-0025
Ekoh, P. C., Okolie, T. J., Nnadi, F. B., Oyinlola, O., & Walsh, C. A. (2023). Understanding the impact of digital technology on the well-being of older immigrants and refugees: A scoping review. Digital Health, 9, 1–11. https://doi.org/10.1177/20552076231194947
Feldman, S., Radermacher, H., Browning, C., Bird, S., & Thomas, S. (2008). Challenges of recruitment and retention of older people from culturally diverse communities in research. Ageing and Society, 28(4), 473–493. https://doi.org/10.1017/S0144686X07006976
Fuller, H. R., Ajrouch, K. J., & Antonucci, T. C. (2020). The convoy model and later-life family relationships. Journal of Family Theory & Review, 12(2), 126–146. https://doi.org/10.1111/jftr.12376
Gilodi, A., Albert, I., & Nienaber, B. (2022). Vulnerability in the context of migration: A critical overview and a new conceptual model. Human Arenas, 7, 620–640. https://doi.org/10.1007/s42087-022-00288-5
Huckvale, K., Venkatesh, S., & Christensen, H. (2019). Toward clinically digital phenotyping: A timing opportunity to consider purpose, quality, and safety. Npj Digital Medicine, 2(88), 1–11. https://doi.org/10.1038/s41746-019-0166-1
Leonard, M. M. (2025). Conducting respondent-driven sampling with ethnic minority populations: The state of the field. Survey Practice, 19(S1), 1–19. https://doi.org/10.29115/SP-2024-0020
Lu, H., Shi, Y., Wylie-Rosett, J., Sevick, M. A., Xu, X., Lieu, R., Wang, C., Li, H., Bao, H., Jiang, Y., Zhu, Z., Yeh, M. C., & Islam, N. (2024). Feasibility of a family-oriented mHealth intervention for chinese americans with type 2 diabetes: A pilot randomized control trial. PLoS ONE, 19(3), e0299799. https://doi.org/10.1371/journal.pone.0299799
Luca, G. de, & Lipps, O. (2005). Fieldwork and survey management in SHARE. In A. Börsch-Supan & H. Jürgens (Eds.), The survey of health, aging, and retirement in europe – methodology (pp. 75–81). Mannheim Research Institute for the Economics of Aging (MEA). https://share-eric.eu/fileadmin/user_upload/Methodology_Volumes/Methodology_2005.pdf
MacKellar, D. A., Gallagher, K. M., Finlayson, T., Sanchez, T., Lansky, A., & Sullivan, P. S. (2007). Surveillance of HIV risk and prevention behaviors of men who have sex with men: A national application of venue-based, time-space sampling. Public Health Reports, 122(1 Suppl), 39–47. https://doi.org/10.1177/00333549071220S107
McAdams, D. P. (2001). The psychology of life stories. Review of General Psychology, 5(2), 100–122. https://doi.org/10.1037/1089-2680.5.2.100
Mikolajczyk, B. (2023). Universal human rights instruments and digital literacy of older persons. The International Journal of Human Rights, 27(3), 403–424. https://doi.org/10.1080/13642987.2022.2131772
Nwanaji-Enwerem, J. C., Rodriguez Espinosa, P., Khodasevich, D., Gladish, N., Shen, H., Bozack, A. K., Daredia, S., Needham, B. L., Rehkopf, D. H., & Cardenas, A. (2025). Immigrant status and citizenship relationships with epigenetic aging in a representative sample of united states adults. Epigenomics, 17(5), 309–316. https://doi.org/10.1080/17501911.2025.2476378
Office of the High Commissioner for Human Rights. (2018). United nations human rights report 2018. Office of the High Commissioner for Human Rights. https://www.ohchr.org/en/publications/annual-report/ohchr-report-2018
Reyes, A. M., & Hardy, M. (2015). Health insurance instability among older immigrants: Region of origin disparities in coverage. The Journals of Gerontology: Series B, 70(2), 303–313. https://doi.org/10.1093/geronb/gbu218
Shi, L., & Stevens, G. D. (2021). Vulnerable populations in the United States (3rd ed.). Jossey-Bass.
Smith, K. P., & Christakis, N. A. (2008). Social networks and health. Annual Review of Sociology, 34, 405–429. https://doi.org/10.1146/annurev.soc.34.040507.134601
Spilsbury, K., Hewitt, C., Stirk, L., & Bowman, C. (2011). The relationship between nurse staffing and quality of care in nursing homes: A systematic review. International Journal of Nursing Studies, 48(6), 732–750. https://doi.org/10.1016/j.ijnurstu.2011.02.014
Stanciu, A., Rodriguez, A. D., & Westerhof, G. J. (2025). Multidimensional determinants to adoption, use and effectiveness of digital technologies for healthy ageing in migrant populations: A scoping review protocol. BMJ Open, 15, e096196. https://doi.org/10.1136/bmjopen-2024-096196
Stanciu, A., Teixeira-Santos, A. C., Paccoud, I., Christofoletti, G., Ferreira, J., Albert, I., Boehnke, K., Steinmetz, J.-P., Vavoula, N., Vauclair, C.-M., & Weiß, B. (2026). Towards inclusive healthy ageing: The case of older migrants. University of Luxembourg.
Teixeira-Santos, A. C., Gomes, L., Pereira, D. R., Ribeiro, F., Carvalheiro, J., Godinho, C., Silva-Fernandes, A., Le Bihan, E., Federspiel, C., Steinmetz, J.-P., & Leist, A. K. (2025). A randomized clinical trial of mindfulness training versus a health promotion program: Impact on cognitive and mental health in older immigrants. International Journal of Clinical and Health Psychology, 25(4), 100642. https://doi.org/10.1016/j.ijchp.2025.100642
Tezcan-Güntekin, H., Özer-Erdogdu, I., Yilmaz-Aslan, Y., Aksakal, T., & Bird, R. (2021). Ethical and methodological challenges in research with hard-to-reach groups: Examples from research on family caregivers for migrant older adults living with dementia. The Gerontologist, 62(6), 823–831. https://doi.org/10.1093/geront/gnab179
Vauclair, C.-M., & Rudnev, M. (2023). Multiple jeopardy, national wealth and perceived discrimination: Subjective health of intersecting minority groups across 28 countries. Acta Sociologica, 67(3), 352–370. https://doi.org/10.1177/00016993231210650
World Health Organization. (2012). Framework to implement a life course approach in practice. World Health Organization. https://iris.who.int/bitstream/handle/10665/381791/9789240112575-eng.pdf?sequence=1
Yameogo, A. R., Deletroz, C., Sasseville, M., Amil, S., Da, S. M. A. R., Plaisimond, J., Bergeron, F., Tadlaoui, S., Bodenmann, P., & Gagnon, M.-P. (2025). Effectiveness of interventions to improve digital health literacy in forced migrant populations: Mixed methods systematic review. Journal of Medical Internet Research, 27, e69880. https://doi.org/10.2196/69880
Zindel, Z. (2023). Social media recruitment in online survey research: A systematic literature review. Methods, Data, Analyses, 17. https://doi.org/10.12758/MDA.2022.15