Published 2018 | Version v1
Dataset Open

Adapting a religious health fatalism measure for use in Muslim populations

Description

Objective: Fatalism has been shown to influence health behaviors and outcomes among different populations. Our study reports on the adaptation of the Religious Health Fatalism Questionnaire for a Muslim population (RHFQ-M). Design: The original RHFQ wording was modified for a Muslim context and cognitively tested in 6 focus groups (FG). Items were revised by Muslim and non-Muslim healthcare researchers based on FG responses regarding the theological "accurateness" of the questions. The revised 9-item measure was administered to 58 English-speaking Muslim women (≥40 years old) recruited from two mosques in the Chicago area in order to assess psychometric properties. Main Outcome Measures: Cronbach's alpha and exploratory factor analyses were used to assess internal consistency and measure dimensionality, respectively. Statistical correlations with several fatalism and religiosity measures were computed to assess convergent and discriminant validity. Results: After testing with an ethnically and racially diverse group of Muslims, the RHFQ-M was found to be reliable (Cronbach's α is 0.79), comprised of two distinct underlying subscales, and is correlated with, but distinct from, other measures of fatalism and Islamic religiosity. Conclusion: Our adapted measure, RHFQ-M, appears to accurately assess Islamic dimensions of fatalism and is ready for use in the health literature.

Abstract

This project was embedded within a larger community-engaged research project titled "Developing a Religiously-Tailored Mammography Intervention for American Muslims." The overall project aims to fill critical gaps in knowledge about how Islam influences Cancer screening behaviors and provides a model for how to partner with mosque communities to conduct a culturally-tailored mammography promoting program. It is a collaboration between the Initiative on Islam and Medicine at the University of Chicago and the Council of Islamic Organizations of Greater Chicago with support from the American Cancer Society. Please contact Dr. Aasim I. Padela for further details.

Files

BC_Repository_Data.txt

Files (61.7 kB)

Name Size Download all
md5:d086fddd1af2d225b62a11aa9e95865c
5.7 kB Preview Download
md5:3fe5935bf7ca15d2f02ab5138e124fda
53.1 kB Download
md5:81a7c3520a5e3d420435a96e35a8e47d
1.9 kB Preview Download
md5:934f4ca17e109e0a05eaeaba504d7ce4
1.0 kB Download

Additional details

Identifiers

Other
oai:knowledge.uchicago.edu:463

Funding

Unknown funder
This project was supported by a Mentored Research Scholar Grant (MRSG-14-032-01-CPPB) from the American Cancer Society, an Institutional Research Grant (no. 58-004) from the American Cancer Society, and a Cancer Center Support Grant (no. P30 CA14599) from the National Cancer Institute. Data warehousing was supported by the REDCap project at the University of Chicago, managed by the Center for Research Informatics, and funded by the Biological Sciences Division and the Institute for Translational Medicine CTSA Grant (UL1 RR024999).

UChicago Information

Division(s)
Biological Sciences Division
Department(s)
Medicine