Abstract:
Copyright © Cambridge University Press 2017 This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. This article tests the fit of a social support network typology developed for collectivist cultures to six migrant populations living in England and Wales. We examine the predictive utility of the typology to identify networks most vulnerable to poor quality of life and loneliness. Variables representing network size, and the proportion of the network classified by gender, age, kin and proximity, were used in confirmatory and exploratory latent profile analysis to fit models to the data (N = 815; Black African, Black Caribbean, Indian, Pakistani, Bangladeshi and Chinese). Multinomial logistic regression examined associations between demographic variables and network types. Linear regression examined associations between network types and wellbeing outcomes. A four-profile model was selected. Multigenerational Household: Younger Family networks were most robust with lowest levels of loneliness and greatest quality of life. Restricted Non-kin networks were least robust. Multigenerational Household: Younger Family networks were most prevalent for all but the Black Caribbean migrants. The typology is able to differentiate between networks with multigenerational households and can help identify vulnerable networks. There are implications for forecasting formal services and variation in networks between cultures. The use of a culturally appropriate typology could impact on the credibility of gerontological research.
