Volume 21, Issue 4 (3-2024)
sjsph 2024, 21(4): 443-454 |
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Izadi Rad H, Narouei F, Mohammadi P. Socio-Demographic Predictors of Health Literacy Among Women Referring to Comprehensive Health Service Centers in Zahedan in 2022. sjsph 2024; 21 (4) :443-454
URL: http://sjsph.tums.ac.ir/article-1-6288-en.html
URL: http://sjsph.tums.ac.ir/article-1-6288-en.html
1- Ph.D. Assistant Professor, of Health Education and Promotion , Health Promotion Research Center, Zahedan University of Medical Sciences, Zahedan, Iran
2- BSc. Student Research Center, Zahedan University of Medical Sciences, Zahedan, Iran ,F.narouei70@gmail.com
3- BSc. Student Research Center, Zahedan University of Medical Sciences, Zahedan, Iran
2- BSc. Student Research Center, Zahedan University of Medical Sciences, Zahedan, Iran ,
3- BSc. Student Research Center, Zahedan University of Medical Sciences, Zahedan, Iran
Abstract: (315 Views)
Background and Aim: Women referring to health centers are one of the most important groups at risk of disease. Thus, in order to enjoy a high level of health, it is necessary for them to have health literacy. The purpose of this research was to find the demographic predictors of health literacy in women referring to comprehensive health service centers in Zahedan, Iran.
Materials and Methods: This was a descriptive-analytical study including 400 women selected by random cluster sampling from health centers under coverage of Zahedan University of Medical Sciences in 2022. The short form of the HELIA standard questionnaire was used to measure health literacy of the women. Data were analyzed using SPSS-22 software, the statistical tests being ANOVA, Kendall's correlation, and multiple regression.
Results: The subjects were between 18 and 60 years old. They were found to have obtained most of the information related to health and disease by asking doctors and healthcare workers (about 52.25%). The scores of the components of the subjects’ health literacy were as follows: average health literacy 69.91±23.34, reading 72.17±29.80, access 34.73±27.91, understanding 71.41±29.43, assessment 62.10±25.51, and the scope of decision-making and behavior 71.49±20.27. The strongest predictor of health literacy was found to be education, such that with an increase in the level of education, the health literacy of a woman would increase by 0.53 units. In addition, education variables, income level, age and ethnicity would predict 55% of the health literacy of the women.
Conclusion: This study shows that the health literacy score is related to age, education level, marital status, occupation, economic status and ethnicity, the strongest predictor of health literacy being the a high level of education. Therefore, considering the available evidence on the importance of health literacy and factors related to it and the low level of health literacy of women in this study, it is clear that women need to acquire, process and understand the basic information on health and therapeutic services in order to be able to make appropriate decisions. Briefly, women need to receive simple and understandable information and have more time to communicate with the health service personnel to understand health information.
Materials and Methods: This was a descriptive-analytical study including 400 women selected by random cluster sampling from health centers under coverage of Zahedan University of Medical Sciences in 2022. The short form of the HELIA standard questionnaire was used to measure health literacy of the women. Data were analyzed using SPSS-22 software, the statistical tests being ANOVA, Kendall's correlation, and multiple regression.
Results: The subjects were between 18 and 60 years old. They were found to have obtained most of the information related to health and disease by asking doctors and healthcare workers (about 52.25%). The scores of the components of the subjects’ health literacy were as follows: average health literacy 69.91±23.34, reading 72.17±29.80, access 34.73±27.91, understanding 71.41±29.43, assessment 62.10±25.51, and the scope of decision-making and behavior 71.49±20.27. The strongest predictor of health literacy was found to be education, such that with an increase in the level of education, the health literacy of a woman would increase by 0.53 units. In addition, education variables, income level, age and ethnicity would predict 55% of the health literacy of the women.
Conclusion: This study shows that the health literacy score is related to age, education level, marital status, occupation, economic status and ethnicity, the strongest predictor of health literacy being the a high level of education. Therefore, considering the available evidence on the importance of health literacy and factors related to it and the low level of health literacy of women in this study, it is clear that women need to acquire, process and understand the basic information on health and therapeutic services in order to be able to make appropriate decisions. Briefly, women need to receive simple and understandable information and have more time to communicate with the health service personnel to understand health information.
Type of Study: Research |
Subject:
Public Health
Received: 2024/07/24 | Accepted: 2024/03/19 | Published: 2024/03/19
Received: 2024/07/24 | Accepted: 2024/03/19 | Published: 2024/03/19
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