The Bangladeshi Migrants Pilot Study establishes the feasibility of applying the methods used in studying the informal support networks of older people in the majority population of Britain, specifically the Wenger support networks typology, to the elders of an immigrant group, and to elders who have remained in the region of origin. The sample consists of Bangladeshis aged 55+ in Tower Hamlets, London, United Kingdom (N=98), and Sylhet in Bangladesh (N=51) (see Table 1). The paper provides an ethnohistory of Bangladeshi immigration to the United Kingdom, a comparison of the support networks of Bangladeshis living in Sylhet and Tower Hamlets, and a comparison of support networks of Bangladeshis with rural and urban dwellers in the United Kingdom. The Practitioners Assessment of Network Typology (PANT) algorithm produces support network types in 99% of cases and demonstrates that the instrument is applicable in different cultures. Results show little difference between the support networks of Bangladeshis in Sylhet compared with London. There are significant differences between support networks of the Bangladeshi samples and the rural and urban United Kingdom samples.
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Review Article|
December 01 2000
Bangladeshi immigration to the United Kingdom: Older people's support networks in the sending and receiving countries
Vanessa Burholt;
Vanessa Burholt
Centre for Social Policy Research and Development
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Clare Wenger;
Clare Wenger
Centre for Social Policy Research and Development
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Bashar Yahya;
Bashar Yahya
Centre for Social Policy Research and Development
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Sibani Roy
Sibani Roy
Centre for Social Policy Research and Development
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Publisher: Emerald Publishing
Online ISSN: 2042-8766
Print ISSN: 1471-7794
© MCB UP Limited
2000
Quality of Ageing (2000) 1 (2): 18–30.
Citation
Burholt V, Wenger C, Scott A, Yahya B, Roy S (2000), "Bangladeshi immigration to the United Kingdom: Older people's support networks in the sending and receiving countries". Quality of Ageing, Vol. 1 No. 2 pp. 18–30, doi: https://doi.org/10.1108/14717794200000011
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