This study explores the association between agency in migration decision-making and post-migration well-being among older residents of Hulhumalé, a planned artificial island city in the Maldives. Face-to-face survey data were collected in 2024 from Maldivian nationals aged 65 years and older who had relocated to Hulhumalé. Based on the reported primary decision-maker, 189 respondents were classified as self-determined or family-led migrants. Life satisfaction before and after migration, post-migration experiences, and perceived living conditions were analyzed using non-parametric tests and multiple regression. The results revealed distinct patterns between the two groups. Current life satisfaction did not differ significantly; however, self-determined migrants reported lower pre-migration satisfaction and a subsequent increase following relocation, whereas family-led migrants reported higher pre-migration satisfaction and little overall change. Statistical significance for non-parametric comparisons was determined using false discovery rate (FDR)-adjusted p-values. In an extended regression model controlling for socio-demographic factors (N=145), agency in migration decision-making remained significantly associated with changes in life satisfaction. Family-led migrants also reported greater difficulty in social integration and urban adaptation. While these exploratory findings should be interpreted with caution due to a retrospective baseline assessment and missing data for some socioeconomic variables, they suggest that perceived agency is more clearly associated with subjective well-being trajectories and post-migration social adaptation than with current life satisfaction. Supporting meaningful participation in relocation decisions, while addressing the social needs of family-led migrants, may contribute to more inclusive outcomes for the older population in rapidly urbanizing island contexts.

1. [1] A. Chapman, W. Davies, C. Downey, and D. Dookie, “Climate risk country profile: Maldives,” Asian Development Bank, 2021.
2. [2] “UNDP climate change adaptation.” https://www.adaptation-undp.org/explore/asia-and-pacific/maldives [Accessed January 21, 2026]
3. [3] A. Sakamoto, M. Maekawa, A. Aslam, A. Laila, K. Kikuchi, T. Kaku, K. Kataoka, M. Matsuda, K. Taiko, and M. Nakayama, “Life satisfaction and migration motivations of the residents of Hulhumalé from Malé and other atolls,” J. Disaster Res., Vol.20, No.1, pp. 15-24, 2025. https://doi.org/10.20965/jdr.2025.p0015
4. [4] F. Scheibl, M. Farquhar, J. Buck, S. Barclay, C. Brayne, and J. Fleming, “When frail older people relocate in very old age, who makes the decision?,” Innov. Aging, Vol.3, Issue 4, Article No.igz030, 2019. https://doi.org/10.1093/geroni/igz030
5. [5] H. H. Ewen and J. Chahal, “Influence of late life stressors on the decisions of older women to relocate into congregate senior housing,” J. Hous. Elderly, Vol.27, No.4, pp. 392-408, 2013. https://doi.org/10.1080/02763893.2013.813428
6. [6] K. Costlow, P. A. Parmelee, S. L. Choi, and B. Roskos, “When less is more: Downsizing, sense of place, and well-being in late life,” J. Environ. Psychol., Vol.71, Article No.101478, 2020.
7. [7] S. Chaulagain, “Unveiling the relocation journey: A qualitative study of key factors influencing older adults’ decisions to relocate to senior living communities,” J. Ageing Longev., Vol.5, Issue 2, Article No.13, 2025. https://doi.org/10.3390/jal5020013
8. [8] J. Xu, G. Liu, H. Li, X. Jiang, S. Zhou, J. Wang, M. Pang, S. Li, and F. Kong, “Association between social integration and loneliness among the female migrant older adults with children: The mediating effect of social support,” BMC Geriatr., Vol.24, No.1, Article No.4, 2024. https://doi.org/10.1186/s12877-023-04569-8
9. [9] Y. Bao, J. Tao, and Q. Liu, “‘Embedding’ and ‘pulling back’: Spatial transformations and urban assimilation of migrant elderlies following their children,” Front. Public Health, Vol.10, Article No.1009274, 2022. https://doi.org/10.3389/fpubh.2022.1009274
10. [10] R. M. Ryan and E. L. Deci, “Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being,” Am. Psychol., Vol.55, No.1, pp. 68-78, 2000. https://psycnet.apa.org/doi/10.1037/0003-066X.55.1.68
11. [11] Y. Jibiki, D. Pelupessy, and K. Iuchi, “Exploratory analysis of the relationship between livelihood disruptions and displacement intentions following a volcanic eruption: A case from the 2014 Mt. Kelud eruption,” J. Disaster Res., Vol.14, No.8, pp. 1066-1071, 2019. https://doi.org/10.20965/jdr.2019.p1066
12. [12] J. Cohen, “Statistical power analysis for the behavioral sciences (2nd ed),” Routledge, 1988. https://doi.org/10.4324/9780203771587
13. [13] G. Norman, “Likert scales, levels of measurement and the ‘laws’ of statistics,” Adv. Health Sci. Educ. Theory Pract., Vol.15, No.5, pp. 625-632, 2010. https://doi.org/10.1007/s10459-010-9222-y
14. [14] Y. Benjamini and Y. Hochberg, “Controlling the false discovery rate: A practical and powerful approach to multiple testing,” J. R. Stat. Soc.: Series B (Methodol.), Vol.57, No.1, pp. 289-300, 1995. https://doi.org/10.1111/j.2517-6161.1995.tb02031.x
15. [15] S. Tsukada and T. Morita, “Impression of the reconstruction and satisfaction with life after the Great East Japan Earthquake: Tago Nishi’s disaster restoration public housing,” J. Disaster Res., Vol.14, No.8, pp. 1059-1065, 2019. https://doi.org/10.20965/jdr.2019.p1059
16. [16] M. Orui, “Establishment of training system to cope with mental health and social issues in disaster recovery public housing after the Great East Japan Earthquake,” J. Disaster Res., Vol.18, No.5, pp. 485-491, 2023. https://doi.org/10.20965/jdr.2023.p0485