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Original Article

Developing and testing an instrument for identifying culture-specific barriers to breast cancer screening in Israeli Arab women

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Pages 1570-1577 | Received 21 Aug 2007, Published online: 08 Jul 2009

Figures & data

Table I.  Participants’ demographic characteristics and breast examination rate (N = 300).

Table II.  Factor loadingsa, Eigen valuesb, means and reliability scores in the final factor-analysis model (N = 300).

Table III.  Pearson correlations between ACSB subscales and barriers and benefits subscales of the health belief questionnaire (N = 300).

Table IV.  Logistic regression analysis with breast examination performance as dependent variable and ACSB scales as independent variables (N = 300).

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