475
Views
2
CrossRef citations to date
0
Altmetric
Articles

Predicting attitudes towards seeking medical care among Nigerian immigrants in the UK

, &
Pages 810-824 | Received 18 Nov 2018, Accepted 19 Nov 2018, Published online: 08 Feb 2019
 

ABSTRACT

This study investigates the relationships between acculturation, religion, and coping styles; as well as their predictive potentials in relation to socio-demographic factors, on access to medical help among Nigerians in the UK. This is a cross-sectional study using questionnaires for data collection (N = 297). Results revealed negative correlations between assimilative behaviours and religious behaviours and between religious behaviours, denial and religious coping. High levels of religiosity and coping through behavioural disengagement and self-blame predicted poor attitudes to medical help; but those who used instrumental support, emotional support, and active coping showed more positive attitudes to medical help-seeking. No gender differences in medical help-seeking were found, but older people sought medical help more than those who were younger; while affiliation to the Christian religion predicted positive attitudes towards medical help seeking. These findings have implications for policy development towards tailored interventions that can enhance healthcare utilisation among immigrants.

Disclosure statement

No potential conflict of interest was reported by the authors.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 286.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.