Inadequate functional health literacy and its associated gender inequality among an ethnic population: A social survey

Document Type : Original Article

Authors

1 Social Determinant of Health Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran

2 Tabriz University of Medical Sciences

3 Department of Epidemiology, Faculty of Health, Arak University of Medical Sciences, Arak, Iran

4 Department of Health Education and Promotion, Faculty of Health, Tabriz University of Medical Sciences, Tabriz, Iran

5 Department of Public Health, Faculty of Health, Neyshabur University of Medical Sciences, Neyshabur

6 6Kawsar Hospital, Kurdistan University of Medical Sciences, Sanandaj, Iran

7 Department of Health Education and Promotion, Faculty of Health, Kerman University of Medical Sciences, Kerman, Iran

8 The Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, Australia

9 Department of Epidemiology and International Health, Pôle Universitaire euclide Intergovernmental UN Treaty 49006/49007, Bangui, Central African Republic

Abstract

Background and Objective: Our objective was to determine the frequency of inadequate functional health literacy (FHL) among adult Kurd population, and infer the contribution index of sociodemographic factors for FHL across gender. 

Materials and Methods: In this cross-sectional study, multistage cluster sampling was employed to recruit 1000 people older than 18 years from 38 urban and 14 rural healthcare centers in Sanandaj, Iran. Data on FHL was collected from May to July 2019, through face-to-face interviews by using the validated Persian version of the Test of functional health literacy in adults (TOFHLA). The concentration index method was used to measure inequality in FHL. 

Results: Overall, 869 respondents (response rate: 86.9%) with a mean age of 33.68 (±13.0) completed the TOFHLA questionnaire. The average TOFHLA score was 51.9, which was 52.2 (±0.46) among males and 50.7 (±0.40) among females, p<0.001. Among females, the place of residence, monthly income, age, education level, and being head of the household contributed to 43%, 32%, 13%, 11.5%,  and 11% of FHL inequality, respectively. While, among males, the place of residence (45.2%), household size (15.1%), and monthly income (13.5%) contributed most to inequality in FHL.

Conclusion:  FHL has disparities by gender and location. Males and rural people are at particular risk for poor FHL. For ease and better resolution of poor FHL, each population, gender, and area type should be considered as a stand-alone, which may help in identifying tailored interventions for males and females with low levels of FHL. 

Keywords


Availability of data and materials: The datasets used and analyzed during the current study is included in this article

Conflicts of interest: There is no Conflicts of interest.

Ethical considerations: The study was approved by Ethics Committee in Islamic Azad University-Sanandaj Branch (Ethics Code: IR.IAU-SB.1397.469). Written informed consent was taken from all participants, and all signed consent form.

Funding: No financial support was received for this study.

Authors ‘contributions: All authors contributed to this project and article equally. All authors read and approved the final manuscript.

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