<sec>
<title>Objectives</title>
<p>This study aimed to identify the educational needs of people with type 2 diabetes according to risk perceptions and the level of severity of complications.</p></sec>
<sec>
<title>Methods</title>
<p>There were 177 study participants who were outpatients of the internal medicine department at a university hospital located in the Republic of Korea, who consented to participate in the survey from December 10, 2016 to February 10, 2017. The data were analyzed using descriptive statistics, Pearson correlation, ANOVA with post-hoc comparison, and multiple regression analysis. Type 2 diabetes complications were classified into 3 groups: no complications, common complications, and severe complications.</p></sec>
<sec>
<title>Results</title>
<p>There were statistically significant positive correlations between educational needs and comparative risk perceptions, and the level of complication and comparative risk perception. Multiple regression analysis revealed that the factor predicting educational needs of type 2 diabetes people was their comparative risk perceptions, rather than the severity of diabetes complications or sociodemographic variables.</p></sec>
<sec>
<title>Conclusion</title>
<p>Since risk perception is the factor that indicates the educational needs of people with type 2 diabetes, there is a need to explore factors which increase risk perception, in order to meet educational needs. The findings suggest that a more specific and individualized educational program, which focuses on each person's risk perceptions, should be developed.</p></sec>
Citations
Citations to this article as recorded by
Fear of Complications Among Patients with Type 2 Diabetes: A Latent Profile Analysis Yuqing Liang, Ya’ning Yang, Xingruo Zhang, Lili Chen, Dan Su Patient Preference and Adherence.2026; Volume 20: 1. CrossRef
Added value of an online education intervention among patients with type 2 diabetes mellitus in Acapulco, Mexico: a non-randomised parallel group comparison Guadalupe Aguilar-Hernández, Sergio Paredes-Juárez, Baltazar Joanico-Morales, Janet Saldaña-Almazán, Claudia Erika Rios-Rivera, Miguel Flores-Moreno, Sergio Paredes-Solís, Neil Andersson IJQHC Communications.2026;[Epub] CrossRef
Assessment tools for disease risk perception in chronic patients: theoretical frameworks, psychometric properties, and clinical applications Fei Yang, Jiaojian Lv, Qiaoling Ye, Lihong Jin, Yuanliang Gu, Jinxiang Wu Frontiers in Public Health.2026;[Epub] CrossRef
Associations between Diabetes Self-Management and Microvascular Complications among Patients Living in Rural Areas, in Kenya Rachael Ireri, Gideon Kikuvi, Susan Mambo, Betsy C. Rono Cheriro Open Journal of Epidemiology.2025; 15(01): 88. CrossRef
Determinants of Complications of Diabetic Among Adult with Type 2 Diabetic Patients at Hubaal Specialist Hospital and Libaan Hospital in Mogadishu: Case Control Study Ahmed Mohamed, Ali Mohamed, Ahmed Guled, Mohamed Fuji, Abdullahi Qoryoley, Abdirahman Hassan American Journal of Internal Medicine.2024; 12(5): 82. CrossRef
<sec>
<title>Objectives</title>
<p>Harmful alcohol consumption is associated with considerable social and economic damage to individuals and society. Because gender and ethnic background influence alcohol intake differently, examining gender specific factors influencing harmful drinking is necessary. This study investigated gender differences in alcohol consumption, harmful drinking, and the associated factors among Korean adults.</p></sec>
<sec>
<title>Methods</title>
<p>We analyzed the data from the 2012–2015 Korean National Health and Nutrition Examination Survey. Data from survey participants aged 20–64 years (<italic>N</italic> = 18,581) were included. The Alcohol Use Disorders Identification Test was used for alcohol dependence, and pooled weights were used. Chi-squared tests and multiple logistic regression analyses were conducted.</p></sec>
<sec>
<title>Results</title>
<p>The prevalence of harmful alcohol use (Alcohol Use Disorders Identification Test score ≥ 16) was 10.7% in the total sample; 18.4% in men and 3.4% in women, which constituted a significant difference. Education, marital status, smoking, perceived stress, and depressive feeling were associated with harmful drinking in both genders. However, household income, occupation, and perceived health status were associated with harmful drinking only in men.</p></sec>
<sec>
<title>Conclusion</title>
<p>Since there are gender differences in harmful drinking and alcohol dependence, gender tailored prevention and intervention strategies for alcohol dependence are necessary including consideration of smoking, stress, and depressive feeling.</p></sec>
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