The role of gender in determining the level of health literacy in Korean adults is unclear. This study aimed to investigate the level of health literacy in Korean adults and identify factors associated with health literacy by gender. This study employed a cross-sectional survey design with a convenient sample of 585 community-dwelling Korean adults age19 years and older. Health literacy was measured by using eight items selected from Chew et al.’s 16-question self-reported health literacy measure. In accordance with Andersen’s health behavior model, predisposing, enabling, and need factors were included in the multiple regression model. Women indicated a higher level of health literacy than men in understanding medical forms, directions on medication bottles, and written information offered by health care providers. Additionally, for Korean women, a higher level of health literacy was associated with attaining a higher education level and having a consistent place to receive care. Unmarried men and men who had higher self-rated health reported a higher level of health literacy compared with their counterparts. Lower level of depression and higher monthly income were significantly linked to a higher level of health literacy in both men and women. This study has established the importance of gender differences in health literacy and suggests gender-specific intervention may be warranted to reduce the existing gap in health literacy in both Korean men and women. Future research should replicate this study to confirm whether or not our finding is an international phenomenon.
27 January 2021 in Journal of Medical Internet Research
Background: The internet has emerged as a main venue of health information delivery and health-related activities. However, few studies have examined how health literacy determines online health-related behavior. Objective: The aim of this study was to investigate the current level of health-related information-seeking using the internet and how health literacy, access to technology, and sociodemographic characteristics impact health-related information-seeking behavior. Methods: We conducted a cross-sectional study through a survey with Minnesotan adults (N=614) to examine their health literacy, access to technology, and health-related information-seeking internet use. We used multivariate regression analysis to assess the relationship between health-related information-seeking on the internet and health literacy and access to technology, controlling for sociodemographic characteristics. Results: Better health literacy (β=.35, SE 0.12) and greater access to technological devices (eg, mobile phone and computer or tablet PC; β=.06, SE 0.19) were both associated with more health-related information-seeking behavior on the internet after adjusting for all other sociodemographic characteristics. Possession of a graduate degree (β=.28, SE 0.07), female gender (β=.15, SE 0.05), poor health (β=.22, SE 0.06), participation in social groups (β=.13, SE 0.05), and having an annual health exam (β=.35, SE 0.12) were all associated with online health-related information-seeking. Conclusions: Our findings indicate that access to online health-related information is not uniformly distributed throughout the population, which may exacerbate disparities in health and health care. Research, policy, and practice attention are needed to address the disparities in access to health information as well as to ensure the quality of the information and improve health literacy.
Background and Objectives: Existing literature presents a widening digital divide among older adults in addition to the consideration of the potential adverse impacts of ageism on internet use among the older adult population. Our study aimed to investigate (a) whether older adults’ perceived ageism will be associated with their use of the internet and (b) whether the relationship between perceived ageism and internet use will be moderated by age groups and binary gender. Research Design and Methods: Using the data from the 2016 Health and Retirement Study, regression analyses were separately performed by gender. Two measures of perceived ageism were considered: (a) self-perception of aging and (b) perceived age discrimination. Results: Our findings suggested that greater exposure to ageism is generally related to less use of the internet. In addition, we found divergent patterns in the relationship between ageism and internet use by gender. For women, a lower level of internet use was predicted by more negative perceptions of aging, whereas men’s internet use was associated with the experience of age discrimination. Furthermore, interaction effects between age groups and ageism varied across gender. The negative perception of aging was more strongly associated with less internet use in older women than middle-aged women. In comparison, the perceived age discrimination predicted less internet use in middle-aged men than older men. Discussion and Implications: Our findings suggest that perceived ageism is significantly associated with internet use, and its association differs by gender.
27 August 2014 in Journal of Medical Internet Research
Objectives: In the current study, we aimed to compare the levels of and factors associated with mental health attitude between males and females. Of particular interest was ascertaining the degree to which mental health literacy was related to mental health attitude and whether this relationship would vary by gender. Methods: A total of 732 participants aged 18 years or more were recruited from attendees at the 2016 Minnesota State Fair. We used the Mental Health Literacy Scale (MHLS) to measure attitude toward and literacy of mental health. Results: Our multivariate analysis reported that males' mental health attitude was significantly lower than females. Some factors associated with mental health attitude differed by gender as well. Among men, receiving more social support, experiencing higher levels of depression, and being married predicted greater mental health attitude. Among women, older age was associated with lower mental health attitude levels. However, mental health literacy was the strongest factor regardless of gender. Men and women with greater mental health literacy had a more positive mental health attitude. Conclusions: Provision of tailored mental health literacy education both for males and females could potentially improve the public's mental health attitude toward mental illness.