OBJECTIVE: Inequalities between immigrant and native populations in terms of access and use of health services have been described. The objective is to compare knowledge, attitudes, vulnerabilities, benefits and barriers related to breast cancer (BC) and screening mammography among women from different countries resident in Barcelona. METHODS: A cross-sectional survey carried out in Barcelona in 2009. The study population consisted of female residents in Barcelona between 45 and 69 years of age; participants were Spanish nationals or immigrants from low-income countries. 960 participants were asked 72 questions, mainly with Likert responses. The dependent variables were five quantitative scales: (1) knowledge of BC and early detection, (2) attitude towards health and BC, (3) vulnerability to BC, (4) barriers to mammography, (5) benefits of mammography. The independent variables were country of origin, social class, setting, cohabitation, age, mammography use, length of residence and fluency of the language. Analyses compared scale scores stratified by the independent variables. Multivariable linear regression models were fitted to determine the relationship between the scales and the independent variables. RESULTS: We observed inequalities according to country of origin on all scales after adjustment for independent variables. Chinese women presented the greatest differences with respect to native women, followed by Maghrebi and Filipino women. Inequalities exist on the vulnerability and barriers scales according to social class and urban/rural setting, and on the attitude scale according to social class. CONCLUSIONS: Country of origin, social class and urban/rural setting are key contributors to inequality in these scales.
OBJECTIVE: Inequalities between immigrant and native populations in terms of access and use of health services have been described. The objective is to compare knowledge, attitudes, vulnerabilities, benefits and barriers related to breast cancer (BC) and screening mammography among women from different countries resident in Barcelona. METHODS: A cross-sectional survey carried out in Barcelona in 2009. The study population consisted of female residents in Barcelona between 45 and 69 years of age; participants were Spanish nationals or immigrants from low-income countries. 960 participants were asked 72 questions, mainly with Likert responses. The dependent variables were five quantitative scales: (1) knowledge of BC and early detection, (2) attitude towards health and BC, (3) vulnerability to BC, (4) barriers to mammography, (5) benefits of mammography. The independent variables were country of origin, social class, setting, cohabitation, age, mammography use, length of residence and fluency of the language. Analyses compared scale scores stratified by the independent variables. Multivariable linear regression models were fitted to determine the relationship between the scales and the independent variables. RESULTS: We observed inequalities according to country of origin on all scales after adjustment for independent variables. Chinese women presented the greatest differences with respect to native women, followed by Maghrebi and Filipino women. Inequalities exist on the vulnerability and barriers scales according to social class and urban/rural setting, and on the attitude scale according to social class. CONCLUSIONS: Country of origin, social class and urban/rural setting are key contributors to inequality in these scales.
Authors: Nora Hamdiui; Mart L Stein; Aura Timen; Danielle Timmermans; Albert Wong; Maria E T C van den Muijsenbergh; Jim E van Steenbergen Journal: BMC Med Date: 2018-03-29 Impact factor: 8.775
Authors: Jennifer J Salinas; Theresa Byrd; Charmaine Martin; Alok K Dwivedi; Adam Alomari; Rebekah Salaiz; Navkiran K Shokar Journal: Breast Cancer (Auckl) Date: 2018-06-18
Authors: Rachel Mary Anderson de Cuevas; Pooja Saini; Deborah Roberts; Kinta Beaver; Mysore Chandrashekar; Anil Jain; Eleanor Kotas; Naheed Tahir; Saiqa Ahmed; Stephen L Brown Journal: BMJ Open Date: 2018-07-07 Impact factor: 2.692
Authors: Sophia Y Liu; Lin Lu; Dan Pringle; Mary Mahler; Chongya Niu; Rebecca Charow; Kyoko Tiessen; Christine Lam; Oleksandr Halytskyy; Hiten Naik; Henrique Hon; Margaret Irwin; Vivien Pat; Christina Gonos; Catherine W T Chan; Jodie Villeneuve; Ravi M Shani; Maha Chaudhry; M Catherine Brown; Peter Selby; Doris Howell; Wei Xu; Shabbir M H Alibhai; Jennifer M Jones; Geoffrey Liu; Lawson Eng Journal: Cancer Med Date: 2019-03-21 Impact factor: 4.452
Authors: Sebastià March; Barbara Villalonga; Carmen Sanchez-Contador; Clara Vidal; Aina Mascaro; Maria de Lluc Bennasar; Magdalena Esteva Journal: BMJ Open Date: 2018-11-18 Impact factor: 2.692