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<p>The purpose of this study is to use binary logistic regression analysis to investigate the factors associated with online health information–seeking behaviours by gender in Türkiye. This analysis utilises microdata from the Turkish Statistical Institute’s (TurkStat) 2024 Household Information Technology (IT) Usage Survey. The odds of an individual aged 35–44 searching for online health information are higher than those of an individual aged 16–24 (OR = 1.840; 95% CI = 1.571–2.157). Among men, those who did not complete high school have higher odds of searching for health information online compared to those with only a primary school education (OR = 2.018; 95% CI = 1.365–2.982). In today’s technologically advanced healthcare environment, it is important to understand how gender dynamics and demographic characteristics are associated with responses to digital health content. The findings of this study may help educators, policymakers, and healthcare professionals develop gender-sensitive digital health literacy initiatives and reduce anxiety associated with online health information.</p>

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Gender differences in online health ınformation seeking behavior in Türkiye

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年6月27日

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  • Şeyda Ünver

摘要

The purpose of this study is to use binary logistic regression analysis to investigate the factors associated with online health information–seeking behaviours by gender in Türkiye. This analysis utilises microdata from the Turkish Statistical Institute’s (TurkStat) 2024 Household Information Technology (IT) Usage Survey. The odds of an individual aged 35–44 searching for online health information are higher than those of an individual aged 16–24 (OR = 1.840; 95% CI = 1.571–2.157). Among men, those who did not complete high school have higher odds of searching for health information online compared to those with only a primary school education (OR = 2.018; 95% CI = 1.365–2.982). In today’s technologically advanced healthcare environment, it is important to understand how gender dynamics and demographic characteristics are associated with responses to digital health content. The findings of this study may help educators, policymakers, and healthcare professionals develop gender-sensitive digital health literacy initiatives and reduce anxiety associated with online health information.