Loneliness Among Migrants in Italy: Risks and Protectors

Eralba Cela and Elisa Barbiano di Belgiojoso
Additional contact information
Eralba Cela: Department of Social and Political Sciences, University of Milan, Italy.
Elisa Barbiano di Belgiojoso: Department of Statistics and Quantitative Methods, University of Milan-Bicocca, Italy.

Migration Letters, 2021, vol. 18, issue 6, 637-648

Abstract: In this study we focused on migrants’ loneliness, in order to unpack risks for, and protective factors against, loneliness among migrants in Italy. Our data come from the ‘Social Condition and Integration among Foreign Citizens’ survey conducted by ISTAT during 2011–2012 on a sample of 25,000 individuals living in a household with at least one foreign-born member. Our results show that economic resources and employment protect from loneliness feelings, whereas education does not. Family and social embeddedness and satisfaction with life are protective factors, whereas discrimination, language barriers, deprived neighbourhoods and poor health are associated with a higher risk of loneliness. Gender is a key lens to consider when analysing loneliness especially in relation to fragile populations like those with a migratory background.

Keywords: Loneliness; migration; Italy (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
https://journals.tplondon.com/ml/article/view/1330/1284 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:mig:journl:v:18:y:2021:i:6:p:637-648

Ordering information: This journal article can be ordered from
https://migrationletters.com/

DOI: 10.33182/ml.v18i6.1330

Access Statistics for this article

Migration Letters is currently edited by Kittisak Jermsittiparsert

More articles in Migration Letters from Migration Letters
Bibliographic data for series maintained by ML ().