Association of eHealth Literacy With Lifestyle Behaviors in University Students: Questionnaire-Based Cross-Sectional Study

Associations Between Sociodemographic Characteristics, eHealth Literacy, and Health-Promoting Lifestyle Among University Students in Taipei: Cross-Sectional Validation Study of the Chinese Version of the eHealth Literacy Scale

BACKGROUND

The popularization of the internet and rapid development of mobile devices have led to an increased inclination and opportunities to obtain health-related information online. The eHealth Literacy Scale (eHEALS), widely used for measuring eHealth literacy, assesses an individual's ability to search, understand, appraise, and use eHealth information. However, the Chinese version of the eHEALS multiple-factor model remains to be validated, and the correlation between eHEALS and the health-promoting lifestyle profile (HPLP) among university students is rarely explored in Taiwan.

OBJECTIVE

This study aimed to examine the fit, validity, and reliability of the Chinese eHEALS multiple-factor model and to clarify the predictive effects of eHEALS on the HPLP among university students.

METHODS

University students in Taipei, the capital of Taiwan, were recruited, and 406 valid questionnaires including sociodemographic characteristics, eHEALS, and HPLP responses were collected. Confirmatory factor analysis was performed to validate the Chinese eHEALS. Independent sample t test, 1-way ANOVA, and multiple linear regression analyses were conducted to examine the relationship between sociodemographic variables and the HPLP. Pearson product-moment correlation and binary logistic regression analyses were performed to ascertain the predictive effects of eHEALS on the HPLP.

RESULTS

The Chinese eHEALS exhibited an optimal fit when delineated into the search, usage, and evaluation 3-factor model (comparative fit index=0.991, Tucker-Lewis index=0.984, root mean square error of approximation=0.062), and its validity and reliability were confirmed. The mean eHEALS score of university students was 3.17/4.00 (SD 0.48) points, and the score for the evaluation subscale was the lowest (mean 3.08, SD 0.56 points). Furthermore, there were significant sex, institution orientation, daily reading time, daily screen time, primary information channel, and perceived health status differences in the HPLP: male participants (t404=2.346, P=.02), participants attending general university (t404=2.564, P=.01), those reading ≥1 hour daily (F2,403=17.618, P<.001), those spending <3 hours on mobile devices or computers daily (F2,403=7.148, P<.001), those acquiring information from others (t404=3.892, P<.001), and those with a good perceived health status (F2,403=24.366, P<.001) had a significantly higher score. After adjusting for sociodemographic variables, the eHEALS score remained an independent predictor of the HPLP. Compared to students with relatively high eHEALS scores, those with relatively low eHEALS scores had a 3.37 times risk of a negative HPLP (adjusted odds ratio [OR]=3.37, 95% CI 1.49-7.61), which could explain 14.7%-24.4% of the variance (Cox-Snell R2=0.147, Nagelkerke R2=0.244, P=.004).

CONCLUSIONS

There is room for improvement in eHealth literacy among university students in Taipei. eHEALS may be used to screen students who require HPLP improvement, thereby providing appropriate eHealth literacy training programs, particularly those targeting evaluation literacy. Additionally, the 3-factor model of the Chinese eHEALS used in this study results in more definite scale content, thus increasing the practicality and applicability of this scale in health-promoting studies.

Associations of eHealth Literacy with Social Activity among Community-Dwelling Older Adults: A Cross-Sectional Study

Older adults who use digital technology are desired to adapt to digitalization and literacy. One required aspect is eHealth literacy, measured with the eHealth Literacy Scale (eHEALS). Many studies on eHealth literacy have used the eHEALS to examine the health behaviors of college students, relatively younger adults, and Internet users. However, the relevance of eHealth literacy to social activity has not yet been studied in older adults. The purposes of this study were to examine the relationship between eHealth literacy and health behaviors and social activities (community, cultural, and sports activities) and to investigate the factors associated with eHEALS scores among community-dwelling older adults. The mean eHEALS score was 12.4 points (SD 8.2), with the majority (73.3%) having the lowest score (the lowest score is 8 points). Males (17.6, SD 10.5) scored significantly higher than females (11.8, SD 7.7). The eHEALS score had a significant relationship with both cultural and community activity. Five factors significantly associated with having the lowest eHEALS score were cultural activity at least once a week, no cultural activity, no community activity, total IADL score, and intellectual activity. These results suggest that eHealth literacy is associated with community activity and cultural activity among older adults.

Assessing Electronic Health Literacy in Individuals With the Post-COVID-19 Condition Using the German Revised eHealth Literacy Scale: Validation Study

BACKGROUND

The eHealth Literacy Scale (eHEALS) is a widely used instrument for measuring eHealth literacy (eHL). However, little is known so far about whether the instrument is valid for the assessment of eHL in persons who are affected by the post-COVID-19 condition. This is particularly important as people with the post-COVID-19 condition are frequently affected by false information from the internet.

OBJECTIVE

The objective of our study was to evaluate the validity and reliability of the German Revised eHealth Literacy Scale (GR-eHEALS) in individuals with the post-COVID-19 condition.

METHODS

A cross-sectional study was conducted from January to May 2022. The self-assessment survey consisted of the GR-eHEALS, health status- and internet use-related variables, sociodemographic data, and (post)-COVID-19-related medical data. Confirmatory factor analysis (CFA), correlational analyses, and tests of measurement invariance were deployed.

RESULTS

In total, 330 participants were included in the statistical analyses. CFA revealed that the 2-factor model reached an excellent model fit (comparative fit index=1.00, Tucker-Lewis index=0.99, root mean square error of approximation=0.036, standardized root mean square residual=0.038). Convergent validity was confirmed by significant positive correlations between eHL and knowledge of internet-based health promotion programs, experience in using these programs, and the duration of private internet use. In addition, a significantly negative relationship of eHL with internet anxiety supported convergent validity. Further, significant relationships of eHL with mental health status and internal health locus of control confirmed the criterion validity of the instrument. However, relationships of eHL with physical health status and quality of life could not be confirmed. The 2-factor model was fully measurement invariant regarding gender. Regarding age and educational level, partial measurement invariance was confirmed. The subscales as well as the overall GR-eHEALS reached good-to-excellent reliability (Cronbach α≥.86).

CONCLUSIONS

The GR-eHEALS is a reliable and largely valid instrument for assessing eHL in individuals with the post-COVID-19 condition. Measurement invariance regarding gender was fully confirmed and allows the interpretation of group differences. Regarding age and educational level, group differences should be interpreted with caution. Given the high likelihood that individuals with the post-COVID-19 condition will be confronted with misinformation on the Internet, eHL is a core competency that is highly relevant in this context, in both research and clinical practice. Therefore, future research should also explore alternative instruments to capture eHL to overcome shortcomings in the validity of the GR-eHEALS.

Digital Health Literacy of the Population in Germany and Its Association With Physical Health, Mental Health, Life Satisfaction, and Health Behaviors: Nationally Representative Survey Study

BACKGROUND

Digital health literacy, also known as eHealth literacy, describes the ability to seek, find, understand, and apply health information from the internet to address health problems. The World Health Organization calls for actions to improve digital health literacy. To develop target group-specific digital health literacy interventions, it is necessary to know the digital health literacy of the general population and relevant subgroups.

OBJECTIVE

This study aims to representatively assess the digital health literacy of the population in Germany and relevant subgroups. The results are meant to facilitate the development of target group-specific digital health literacy interventions. Additionally, this study further explores the associations between digital health literacy and physical health, mental health, life satisfaction, and diverse health behaviors.

METHODS

Study participants were drawn from a representative panel of the German-speaking population with internet access. To further increase the representativeness of the sample, survey weights were calculated using an iterative proportional fitting procedure. Participants answered a series of questionnaires regarding their digital health literacy, physical health, mental health, life satisfaction, and diverse health behaviors. Two-sided independent sample t tests were conducted to determine the significant differences between societal subgroups. Pearson correlation coefficients were calculated to explore the correlates of digital health literacy.

RESULTS

Digital health literacy is unevenly distributed within German society. The results of this study suggest that people with a low level of formal education and people with a low social status would benefit from digital health literacy interventions that address their competencies in the domains of information seeking and information appraisal. Furthermore, the results suggest that older people would likely benefit from digital health literacy interventions that address their competencies in the domains of information seeking and also information appraisal. Regarding sex, this study suggests that men might benefit from digital health literacy interventions that specifically address their competencies in the domain of information seeking. Furthermore, digital health literacy is weakly positively correlated with physical health, mental health, life satisfaction, exercise routines, fruit consumption, and vegetable consumption.

CONCLUSIONS

Overall, the results of this study demonstrate that digital health literacy is associated with diverse health outcomes and behaviors. Furthermore, the results provide a starting point for the development of target group-specific digital health literacy interventions.

Topics Included in Health Literacy Studies in Asia: A Systematic Review

The study aimed to review general and specific health literacy studies in different countries in Asia to understand the progress of health literacy researches in the region. English-published studies with quantitative measurements of health literacy were collected through a systematic search in PubMed, Cochrane Library, Embase, and Web of Science, without publication dates limitation. A total of 156 articles on general health literacy, oral, mental, disease-specific health literacy, and eHealth literacy were collected. General health literacy was the most covered topic in 89 articles, followed by eHealth Literacy. Health literacy studies have been conducted in 16 countries and have been increasingly concerned in most of the countries in Asia. China had the largest number of articles, followed by Taiwan. Four studies had participants from more than one country. Education, age, health status, incomes, and living/residential area were significantly associated with health literacy levels in 156 studies, with the prevalence of 55.8%, 28.2%, 20.5%, 17.9%, and 10.9%, respectively. Lower health literacy was related to poorer health outcomes or lower quality of life in 71 studies.

Correlation between Health and eHealth Literacy and a Healthy Lifestyle: A Cross-Sectional Study of Spanish Primary Healthcare Patients

BACKGROUND

Health literacy and eHealth literacy play a crucial role in improving a community's ability to take care of themselves, ultimately leading to a reduction in disparities in health. Embracing a healthy way of living is vital in lessening the impact of illnesses and extending one's lifespan. This research delves into the link between the health and eHealth literacy levels of individuals accessing primary healthcare services and investigates how this relates to adopting a health-conscious lifestyle.

METHODS

The approach involves a cross-sectional examination carried out at a healthcare facility in the Madrid region of Spain, focusing on adult patients who are in need of primary care nursing services. Health and eHealth literacy and a healthy lifestyle were measured using the Health Literacy Questionnaire (HLQ), the eHealth Literacy Questionnaire (eHLQ), and the "PA100" questionnaire, respectively.

RESULTS

Only some of the dimensions of the HLQ and eHLQ were significantly related to a healthy lifestyle, predominantly with a very low or low relationship. Dimension three of the HLQ and dimension five of the eHLQ acquired more importance and were positioned as positive predictors of a healthy lifestyle.

CONCLUSIONS

This study helps comprehend the relationship between health and eHealth literacy and a healthy lifestyle, which provides information that contributes to understanding the factors that might have a higher impact on lifestyles.

Determinants and outcomes of eHealth literacy in healthy adults: A systematic review

BACKGROUND

eHealth has shown many benefits in health promotion and disease prevention. For engaging in and taking advantage of eHealth, eHealth literacy is essential. This systematic review aims to summarise and examine the existing evidence on determinants and outcomes of eHealth literacy in healthy adults.

METHODS

We searched the relevant peer-reviewed articles published in English in six databases: MEDLINE, EMBASE, PsycINFO, CINAHL, Cochrane Library and ProQuest. The inclusion criteria of the review were: 1) studies examining 'eHealth literacy', which refers to the ability to search, select, judge and apply online health information to address or solve health problems and to improve wellbeing; 2) the type of study included observational and experimental studies, mixed method studies or qualitative studies; 3) the participants were healthy adults; 4) the main outcomes were the determinants (i.e. influencing or associated factors) and outcomes (i.e. benefits and disadvantages) of eHealth literacy. Articles were assessed by two reviewers using the Joanna Briggs Institute critical appraisal tool. A conceptual model to map the determinants and outcomes of eHealth literacy in healthy adults into the non-modifiable, individual, social and community networks and structural layers was developed to classify the identified determinants and outcomes.

RESULTS

Forty-four studies were included in this review, of which 43 studies were cross-sectional and one was qualitative. eHealth literacy determinants included age, sex, literacy factors, socioeconomic factors and language. eHealth literacy outcomes included better general health promotion behavior, COVID-19 preventive behaviors, psychological wellbeing, social support, self-rated health and health service utilisation.

CONCLUSIONS

Our results showed that eHealth literacy has multi-layered determinants and positive outcomes. Different strategies at different policy levels are needed to improve the eHealth literacy levels of healthy adults.

Effects of Physical Activity on Mobile Phone Addiction Among College Students: The Chain-Based Mediating Role of Negative Emotion and E-Health Literacy

Background

Smartphones have become an important tool for college students' study and life, but mobile phone addiction caused by excessive dependence use of cell phones can have serious negative impacts on college students' mental health, life behaviors, and so on. It is urgent to explore the causes and influence mechanisms of college students' cell phone addiction.

Purpose

The purpose of this study was to investigate the relationship between physical exercise and mobile phone addiction among Chinese college students and the mediating role of negative affect and e-health literacy between the two.

Methods

The stratified sampling method was used to investigate the physical activity, mobile phone addiction, negative emotion and e-health literacy of 4621 university students in Jiangsu Province using the Physical Activity Rating scale, Mobile Phone Addiction scale, Depression-anxiety-stress scale and E-Health Literacy scale, Thus the data were statistically analysed using SPSS 26.0 and AMOS 23.0.

Results

(1) Physical exercise was significantly negatively correlated with mobile phone addiction and negative emotion among college students (r=-.713, P<0.01; r=-.571, P<0.01), and physical exercise was significantly positively correlated with e-health literacy (r=0.616, P<0.01); (2) Negative emotion and e-health literacy played independent mediating roles between physical exercise and mobile phone addiction, respectively; (3) Negative emotion and e-health literacy played chain mediating roles between physical exercise and mobile phone addiction.

Conclusion

This study explored the potential mechanisms of cell phone addiction in college students and found that physical activity can influence Internet addiction through the independent mediating effect including the chain mediating effect of negative emotions and e-health literacy. This study further reveals the mechanism of action of physical exercise affecting college students' cell phone addiction, and provides some reference value for the prevention and intervention of college students cell phone addiction.

Childhood environmental harshness and unpredictability negatively predict eHealth literacy through fast life-history strategy

Background

eHealth literacy-the ability to obtain, understand, evaluate, and use health information from the Internet-is important to maintaining and improving personal health. Prior research found that people differ notably in the levels of eHealth literacy, and this study tests a theoretical account of some of those individual differences. Drawing on life history theory, we propose that low eHealth literacy is partly the outcome of people adopting a resource-allocation strategy emphasizing early and fast reproduction, namely, a fast life-history strategy.

Methods

We conducted a cross-sectional survey study (N = 1,036) that measured Chinese adult respondents' eHealth literacy, childhood environmental harshness and unpredictability, and fast life-history strategy. Covariates included health-information seeking online, self-rated health, sex, age, education level, and monthly income.

Results

Supporting a life-history explanation of eHealth literacy, childhood environmental harshness and unpredictability negatively predicted eHealth literacy through fast life-history strategy and mainly the insight-planning-control dimension of it. Harshness, not unpredictability, also directly and negatively predicted eHealth literacy after fast life-history strategy was controlled for.

Conclusion

Our findings suggest that the psychological mechanisms associated with human life-history strategies produce at least some of the individual differences in levels of eHealth literacy, including those related to neuroticism, socioeconomic status, self-rated health and social capital. Thus, a possible way to increase future generation's eHealth literacy and thereby their health is to reduce the harshness and unpredictability of the environment in which they grow up, thereby making them more likely to adopt a relatively slow life-history in their adulthood.

eHEALS as a predictive factor of digital health information seeking behavior among Brazilian undergraduate students

This study aimed to perform the cross-cultural adaptation and validation of the eHealth Literacy Scale (eHEALS) for Brazilian Portuguese. The cross-cultural adaptation was conducted through conceptual equivalence, verbatim translation, semantic, item and operational equivalence, and back-translation. Subsequently, 521 undergraduate students answered the adapted version of the eHEALS, the General Perceived Self-Efficacy Scale (GSES), the Oral Health Impact Profile-14 (OHIP-14) and sociodemographic and health-related questions. Statistical analysis was performed to determine the dimensionality, internal consistency, stability and concurrent/convergent/discriminant/predictive validities of the eHEALS (p < 0.05). The adequacy of sample size was confirmed by a non-identity correlation matrix (Bartlett's test of sphericity, p < 0.001), without influence of multicollinearity (determinant = 0.026). The confirmatory factor analysis identified four factors in agreement to the constructs namely as online searching self-efficacy, awareness of available sources, information usage ability, and critical analysis of useful information. The eHEALS displayed an excellent internal consistency (Cronbach's alpha = 0.88), a good stability (ICC = 0.71, 95% CI: 0.49-0.84), and it was significantly correlated with GSES (concurrent validity). Higher eHEALS scores were identified among (i) white and (ii) younger students, (iii) from health sciences courses, (iv) with more years of graduation, (v) who their fathers were working in specialized functions (discriminant validity), and (vi) among those who were frequently interested in digital health information (convergent validity). The students with higher eHealth literacy levels were more likely to seek health information in the last 24 h (predictive validity). In conclusion, the eHEALS demonstrated adequate psychometric properties to be applied for the Brazilian population.

Multidimensional background examination of young underweight Japanese women: focusing on their dieting experiences

Introduction

This study examines the background of underweight young women in Japan from multiple perspectives, focusing on whether they have ever dieted.

Methods

A screening survey was administered to 5,905 underweight (BMI < 18.5 kg/m2) women aged 18-29 years, who could report their birth weight recorded in their mother-child handbook. Valid responses were obtained from 400 underweight and 189 normal-weight women. The survey collected data regarding height, weight (BMI), body image and perception of weight, dieting experience, exercise habits from elementary school age onwards, and current eating habits. Additionally, five standardized questionnaires were used (EAT-26, eHEALTH, SATAQ-3 JS, TIPI-J, and RSES). The primary analysis was a comparative analysis (t-test/χ2)-with the presence or absence of underweight and diet experience as independent variables, and each questionnaire as a dependent variable.

Results

The screening survey revealed that approximately 24% of the total population was underweight, with a low mean BMI. Of the respondents, more than half reported their body image as skinny and a small percentage as obese. Compared with the non-diet-experienced group (NDG), the diet-experienced group (DG) had a significantly higher proportion of past to current exercise habits. There was a significantly higher percentage of disagreement responses from the DG for weight and food gain than for the NDG. The NDG weighed significantly less than the DG in terms of birth weight, and lost weight easier than the DG. Additionally, the NDG was significantly more likely to agree with increasing weight and food intake. The NDG's exercise habits were below 40% from elementary school age to the present, predominantly owing to a dislike for exercise and a lack of opportunity to implement it. In the standardized questionnaire, the DG was significantly higher for EAT-26, eHEALTH, SATAQ-3 JS, and Conscientiousness (TIPI-J), whereas the NDG was only significantly higher for Openness (TIPI-J).

Discussion

The results suggest the need for different health education programs for underweight women who desire to lose weight and experience dieting and for those who do not. This study's results are reflected in the development of sports opportunities optimized for each individual, and in the development of measures to ensure adequate nutritional intake.

Analysis of Japanese consumers' attitudes toward the digital transformation of OTC medicine purchase behavior and eHealth literacy: an online survey for digital experience design

Introduction

Since the enactment of the revised Pharmaceutical Affairs Act in Japan in 2009, self-medication practices have increased in the country. However, studies report that consumers pay little attention to the medication facts and risks indicated on the packages of over-the-counter (OTC) medicines, which could be a potential risk. Since the COVID-19 pandemic, the digital transformation of purchasing OTC medicines has progressed. As an appropriate design for the digital transformation is likely to improve consumers' literacy and them obtaining medical information, this study systematically examines Japanese consumers' attitudes toward the digital transformation of OTC medicine purchase behavior and its correlation to eHealth literacy, exploring an appropriate digital experience design in purchasing OTC medicine.

Methods

Participants from the Greater Tokyo Area of Japan participated in an online survey. Consumers' current behavior and preferences in accessing OTC medicine, receiving medication guidance, and obtaining medical information were examined. eHealth literacy was assessed using the J-eHEALS. Descriptive statistics, text mining, and thematic analysis were conducted to answer research questions.

Results

Over 89% of the respondents who had experience in purchasing OTC medicines preferred local pharmacies or stores rather than online purchasing, p < 0.001. Obtaining medicine guidance in pharmacies or stores was the main preference over other approaches, p < 0.001. Furthermore, most of the participants accepted selecting medicine on shelves and digital screens in-store. However, they were accustomed to using smartphones to obtain additional information at the pharmacy or drug store, p < 0.001; this behavior was positively correlated with eHealth literacy, p < 0.001.

Conclusions

Japanese consumers are seeking a combination of conventional and digital behaviors for purchasing OTC medicine rather than opting for a particular method. Most consumers prefer purchasing and receiving instructions in-store while searching for additional decision-making information online. eHealth literacy is positively associated with digital behaviors of OTC medicine information acquisition but less associated with medicine purchases and selections. The hybrid digital experience design may enhance the OTC medicine purchase experience and reduce potential risks by providing appropriate information.

Health-promoting lifestyle and its predictors among health-related and non-health-related university students in Taiwan: a cross-sectional quantitative study

BACKGROUND

University students majoring in different disciplines are believed to have different personality traits, courses exposure, and future roles, which may further affect their health behaviors and health status. The purpose of this study was to investigate the differences in health-promoting lifestyle (HPL) and its predictors among health-related and non-health-related students.

METHODS

The research participants were university students in the main island of Taiwan, and a two-stage sampling approach was adopted to obtain the samples from November 2020 to March 2021. First, 37 universities were randomly selected based on the ratio of public and private universities in each region of Taiwan. Then, based on the ratio of health-related and non-health-related majors of selected university, 25-30 students were randomly drawn from each university according to the student ID number to complete self-administered questionnaires, which included items for personal factors, perceived health status (PHS), health conception (HC), and health-promoting lifestyle profile (HPLP). A total of 1062 valid questionnaires were recovered, including 458 from health-related students and 604 from non-health-related students. Chi-squared test, independent samples t-test, one-way ANOVA, Pearson product-moment correlation analysis, and multiple regression analysis were performed.

RESULTS

The results showed that gender (p < 0.001), residential status (p = 0.023), body mass index (p = 0.016), and daily sleep duration (p = 0.034) of the students majoring in different disciplines were different. Health-related students having better HC (p = 0.002) and HPLP (p = 0.040) than non-health-related students. In addition, for both majors, females, low PHS scores, and low scores for functional/role, clinical, and eudaimonistic dimensions of HC were important indicators of a relatively negative HPLP, while health-related students who exercised 75 min or less per week and non-health-related students with a monthly disposable income of 15,000 TWD or less or who dined out 15 times or more per week also required attention in the promotion of HPL (health-related majors: adjusted R² = 0.481, p < 0.001; non-health-related majors: adjusted R² = 0.443, p < 0.001).

CONCLUSIONS

Students majoring in each discipline who had poor HPLP which is mentioned above should be prioritized in the provision of appropriate exercise or nutritional support programs on campus to promote their awareness and ability to pay attention to their health.

Health Literacy among Japanese College Students: Association with Healthy Lifestyle and Subjective Health Status

The improvement of health literacy (HL) is a critical issue for college students who are in the transitional period to adulthood and are establishing their subsequent lifestyles. The present study aimed to evaluate the current state of HL among college students and to explore the factors that influence HL. Moreover, it investigated the relationship between HL and health conditions. For this study, the researchers conducted an online survey of college students. The questionnaire consisted of the Japanese version of the 47-item European Health Literacy Survey Questionnaire (HLS-EU-Q47), which is a self-assessment tool for HL that covers the major health issues of college students and health-related quality of life. The study analyzed 1049 valid responses. Based on the HLS-EU-Q47 total score, 85% of the participants exhibited problematic or unsatisfactory HL levels. Participants who reported high levels of healthy lifestyles obtained high HL scores. High levels of HL were associated with high levels of subjective health. Results from quantitative text analysis suggested that specific mindsets were correlated with high levels of competency in appraising health information among male students. In the future, educational intervention programs for college students need to be established to improve HL levels.

The Relation Between eHealth Literacy and Health-Related Behaviors: Systematic Review and Meta-analysis

BACKGROUND

With widespread use of the internet and mobile devices, many people have gained improved access to health-related information online for health promotion and disease management. As the health information acquired online can affect health-related behaviors, health care providers need to take into account how each individual's online health literacy (eHealth literacy) can affect health-related behaviors.

OBJECTIVE

To determine whether an individual's level of eHealth literacy affects actual health-related behaviors, the correlation between eHealth literacy and health-related behaviors was identified in an integrated manner through a systematic literature review and meta-analysis.

METHODS

The MEDLINE, Embase, Cochrane, KoreaMed, and Research Information Sharing Service databases were systematically searched for studies published up to March 19, 2021, which suggested the relationship between eHealth literacy and health-related behaviors. Studies were eligible if they were conducted with the general population, presented eHealth literacy according to validated tools, used no specific control condition, and measured health-related behaviors as the outcomes. A meta-analysis was performed on the studies that could be quantitatively synthesized using a random effect model. A pooled correlation coefficient was generated by integrating the correlation coefficients, and the risk of bias was assessed using the modified Newcastle-Ottawa Scale.

RESULTS

Among 1922 eHealth literacy-related papers, 29 studies suggesting an association between eHealth literacy and health-related behaviors were included. All retrieved studies were cross-sectional studies, and most of them used the eHealth Literacy Scale (eHEALS) as a measurement tool for eHealth literacy. Of the 29 studies, 22 presented positive associations between eHealth literacy and health-related behaviors. The meta-analysis was performed on 14 studies that presented the correlation coefficient for the relationship between eHealth literacy and health-related behaviors. When the meta-analysis was conducted by age, morbidity status, and type of health-related behavior, the pooled correlation coefficients were 0.37 (95% CI 0.29-0.44) for older adults (aged ≥65 years), 0.28 (95% CI 0.17-0.39) for individuals with diseases, and 0.36 (95% CI 0.27-0.41) for health-promoting behavior. The overall estimate of the correlation between eHealth literacy and health-related behaviors was 0.31 (95% CI 0.25-0.34), which indicated a moderate correlation between eHealth literacy and health-related behaviors.

CONCLUSIONS

Our results of a positive correlation between eHealth literacy and health-related behaviors indicate that eHealth literacy can be a mediator in the process by which health-related information leads to changes in health-related behaviors. Larger-scale studies with stronger validity are needed to evaluate the detailed relationship between the proficiency level of eHealth literacy and health-related behaviors for health promotion in the future.

Impact of Online-Delivered eHealth Literacy Intervention on eHealth Literacy and Health Behavior Outcomes among Female College Students during COVID-19

This study examined the effects of a novel online-delivered eHealth literacy intervention to improve eHealth literacy and positive health behaviors among female college students during COVID-19. Female college students taking a physical education class were allocated to either an online-based eHealth literacy intervention group (n = 62) or a physical education class (n = 58). Weekly two-hour sessions were implemented through Zoom videoconferencing over six weeks. We measured eHealth literacy, exercise self-schemata, and health behavior outcomes (eating, sleep, and exercise) before and after the intervention. A two-way repeated measures ANOVA was conducted to examine within- and between-group differences in all outcomes. The ANOVA (2 × 2) for the interaction effect of group and time showed a statistical significance in eHealth literacy and cognitive-emotional exercise self-schemata. There was a marginally significant interaction effect for exercise but none for eating and sleep. This was the first trial to examine the impact of the online eHealth literacy intervention on eHealth literacy and health behavior outcomes for college students during COVID-19. Preliminary findings indicated that the intervention showed promising effectiveness for improving eHealth literacy and promoting health behaviors among female college students.

Psychometric properties of the German revised version of the eHealth literacy scale in individuals with cardiac diseases: Validation and test of measurement invariance

Background

The internet is most people's primary source of (health) information. However, no validated instrument exists to assess eHealth literacy in the group of patient with cardiac diseases.

Objective

The objective of this study was the evaluation of the psychometric properties of the German revised version of the eHealth literacy scale (GR-eHEALS) in individuals with coronary artery disease (CAD) and congestive heart failure (CHF).

Methods

A cross-sectional study was conducted. N = 455 were included in the statistical analyses. The assessment compromised the GR-eHEALS, medical history, sociodemographic data, and technology-related data. Confirmatory factor analyses, correlational analyses, and tests of measurement invariance were performed.

Results

The two-factorial model reached a good model fit. The sub-scales information seeking and information appraisal, as well as the eHealth literacy total score, reached high reliability coefficients. Construct and criterion validity was fully confirmed For the two-factorial model, measurement invariance up to the scalar level could be confirmed regarding the sociodemographic characteristics sex, age, and educational level.

Conclusions

This study confirmed the two-factor structure, construct, and criterion validity as well as measurement invariance at the scalar level for sex, age, and educational level of the GR-eHEALS scale in a sample of individuals with CAD and CHF.

The association among eHealth literacy, depressive symptoms and health-related quality of life among older people: A cross-section study

BACKGROUND

eHealth literacy can facilitate the uptake of benefits of health for older persons. The aim of this study was to examine the association of eHealth literacy with depression, health-related quality of life (HRQoL) among older persons.

METHODS

A survey of 6183 participants (aged 60 years and above) from 17 communities was conducted in June 2019. Participants answered questions related to basic information, eHealth literacy scale (eHEALS), geriatric depression scale and the short-form health survey (SF-36). Mediation model and a linear regression analysis were performed to explore the association between the eHEALS scores and related factors.

RESULTS

The mean score of eHEALS was 21.17 (SD = 8.25). eHEALS was significant higher in men, those with living in the city, those with high educated and stable income and those with living with children, as compared to their counterparts, respectively. Moreover, chronic diseases and depressive symptoms negatively associated with eHEALS, while actively obtaining health information and physical activity positively influenced eHEALS. Furthermore, depressive symptoms had direct and indirect effects on HRQoL, as mediated by eHealth literacy.

CONCLUSIONS

The eHEALS acts as a mediator between depressive symptoms and HRQoL. As eHealth literacy is a protector for older people, efforts to improve the older persons' eHealth literacy could help to maintain health status. Therefore, healthcare providers formulate effective programs to improve eHealth literacy for older persons, which can bring benefits for health ageing.

The association and intervention effect between eHealth literacy and lifestyle behaviors among Chinese university students

OBJECTIVE

Our aim was to evaluate the association between eHealth literacy and lifestyle behaviors to intervene among Chinese university students.

METHOD

The Chinese eHealth Literacy Scale (C-eHEALS) questionnaire was used to investigate the eHealth literacy level and association with lifestyle behaviors among Chinese university students. Independent sample t-test and Pearson's correlation coefficient were used by statistical software SPSS v20.

RESULTS

In the first round, 5,151 university students participated in the study, including 71.46% female and 28.54% male, aged 18-22 (93.13%).The average eHealth literacy score was 26.81 ± 5.83. Four lifestyle behaviors (e.g., exercise, smoking, drinking and sleeping) were all significantly correlated with eHealth literacy scores and demonstrated significant differences. In the second investigation (N = 2,939), the average eHealth literacy score was 31.64 ± 6.44, a notable improvement compared with the first investigation.

CONCLUSION

Those in the group with high eHealth literacy scores have a healthier lifestyle than those in the low-score group. Training in eHealth-related resources is a positive measure to improve university students' eHealth literacy.

COVID-19-related fear, stress and depression in school principals: impacts of symptoms like COVID-19, information confusion, health-related activity limitations, working hours, sense of coherence and health literacy

BACKGROUND

School principals have been reported to have a higher prevalence of burnout and psychological problems than their colleagues. During the pandemic, extra workload and pressure from unprecedented situations potentially cause fear, stress and depression. Therefore, we aimed to explore associated factors of stress, fear of COVID-19 (F-CoV-19S) and depressive symptoms among school principals.

METHODS

A cross-sectional online survey was conducted in Taiwan from 23 June to 16 July 2021. Data of 413 school principals were collected, including socio-demographic factors, COVID-19-related factors, work-related information, health status, sense of coherence (SoC), health literacy (HL), F-CoV-19S, stress and depression. Multiple linear and logistic regression models were utilized to explore associations.

RESULTS

School principals with symptoms like COVID-19 (S-COVID-19-S), or with health-related activity limitations had a higher score of stress (B = 0.92; p = .039) (B = 1.52; p < .001) and a higher depression likelihood (OR = 3.38; p < .001) (OR = 3.06; p < .001), whereas those with a better SoC had a lower stress score (B = -1.39; p < .001) and a lower depression likelihood (OR = 0.76; p = .020). School principals confusing about COVID-19-related information had a higher score of stress (B = 2.47; p < .001) and fear (B = 3.77; p < .001). The longer working time was associated with a higher fear score (B = 1.69; p = .006). Additionally, school principals with a higher HL score had a lower stress score (B = -1.76; p < .001), a lower fear score (B = -1.85; p < .001) and a lower depression likelihood (OR = 0.53; p = .043).

CONCLUSIONS

Health-related activity limitations, S-COVID-19-S, COVID-19-related information confusion and longer working hours were positively associated with at least one mental health problem (e.g. stress, fear and depression), whereas better SoC and HL showed the benefits to mitigate fear, stress and depressive symptoms in school principals. Our study provides evidence for appropriate strategies to improve principals' mental health during the pandemic.Key messages:School principals with health-related activity limitations or with symptoms like COVID-19 were more likely to be stressed and depressed.Higher levels of stress and fear were observed in school principals who confused about COVID-19-related information, and who had longer working time than before the pandemic.Better sense of coherence and higher health literacy could potentially mitigate the fear, stress and depressive symptoms in school principals.

Factors Influencing eHealth Literacy among Spanish Primary Healthcare Users: Cross-Sectional Study

BACKGROUND

Adequate eHealth literacy levels empower people to make informed decisions, enhancing their autonomy. The current study assessed a group using primary care services for their eHealth literacy and examined its relationship with sociodemographic characteristics.

METHODS

Adult patients in need of primary care nursing services participated in this cross-sectional study, which was carried out in a healthcare center in the Madrid region of Spain. Through systematic random sampling, 166 participants were chosen for the study. The eHealth Literacy Questionnaire was used to assess eHealth literacy (eHLQ).

RESULTS

The studied population showed higher eHealth literacy scores in dimensions 2 ("understanding of health concepts and language") and 4 ("feel safe and in control"); the lowest scores were recorded for dimensions 1 ("using technology to process health information"), 3 ("ability to actively engage with digital services"), and 7 ("digital services that suit individual needs"). People with completed secondary education and a better-perceived health status who were younger and employed showed a higher level of eHealth literacy.

CONCLUSIONS

The findings advance our knowledge of the variables affecting eHealth literacy. We may be able to understand patients' needs and provide them with greater support if we can pinpoint the areas where they demonstrate the lowest eHealth literacy.

Beliefs, emotions, and usage of information and communication technologies in distance learning during the COVID-19 pandemic: Health sciences students' perspectives

Objectives

First, to examine Health Sciences students' discipline, educational level, number of online courses taken, and emotions regarding distance learning; second, to explore a model in which information and communication technologies' (ICT) beliefs serve as mediators among ICT's emotions and ICT usage.

Methods

This is a cross-sectional study. Participants consisted of 210 students from the School of Health Sciences at the University. Perceptions toward ICTs in Teaching-Learning Process Scale and Computer Emotion Scale were used.

Results

Nursing students report significantly more ICT-related negative emotions than Management of Health Systems students. Students who took a low or medium number of online courses report significantly more ICT-related positive emotions than students who took a high number of online courses. In addition, ICT-related beliefs did not mediate the effects of ICT-related positive emotions and ICT usage but did mediate ICT-related negative emotions and ICT usage.

Conclusions

The digital tools in online courses should be appropriately combined with the learning method, and course content. It requires not only a solid technical foundation but also an educational mentality, as well as an adjustment period.

eHealth Literacy of Australian Undergraduate Health Profession Students: A Descriptive Study

Rapid growth in digital health technologies has increased demand for eHealth literacy of all stakeholders within health and social care environments. The digital future of health care services requires the next generation of health professionals to be well-prepared to confidently provide high-quality and safe health care. The aim of this study was to explore the eHealth literacy of undergraduate health profession students to inform undergraduate curriculum development to promote work-readiness. A cross-sectional survey was undertaken at an Australian university using the seven-domain eHealth Literacy Questionnaire (eHLQ), with 610 students participating. A one-way Multivariate Analysis of Variance (MANOVA) with follow-up univariate analysis (ANOVA) was used to determine if there were differences in eHLQ scores across 11 sociodemographic variables. Students generally had good knowledge of health (Scale 2); however, they had concerns over the security of online health data (Scale 4). There were also significant differences in age and ownership of digital devices. Students who were younger reported higher scores across all seven eHLQ scales than older students. This research provided an understanding of eHealth literacy of health profession students and revealed sub-groups that have lower eHealth literacy, suggesting that digital health skills should be integrated into university curriculums, especially related to practice-based digital applications with special focus to address privacy and security concerns. Preparation of health profession students so they can efficiently address their own needs, and the needs of others, is recommended to minimise the digital divide within health and social care environments.

The Longitudinal Relationship Between eHealth Literacy, Health-Promoting Lifestyles, and Health-Related Quality of Life Among College Students: A Cross-Lagged Analysis

Objectives

This study aimed to explore the longitudinal associations between eHealth literacy, health-promoting lifestyles, and health-related quality of life (HRQoL) among college students.

Methods

From December 2019 (T1) to December 2020 (T2), we administered the eHealth literacy scale, Short-Form Health Survey (SF-12), and Short-Form Health-Promoting Lifestyle Profile Scale to 1,181 college students in Jinan, China. Participants were recruited for 12 months for the two-stage survey.

Results

Stable positive correlations were shown between eHealth literacy, health-promoting lifestyles, and HRQoL across time. The cross-lagged analysis showed that eHealth literacy at T1 predicted health-promoting lifestyles at T2 (β = 0.080, P = 0.006); however, health-promoting lifestyles at T1 did not predict eHealth literacy at T2 (β = −0.026, P = 0.499). HRQoL at T1 predicted health-promoting lifestyles at T2 (β = 0.147, P < 0.001); however, similar to the eHealth literacy finding, health-promoting lifestyles at T1 did not predict HRQoL at T2 (β = 0.045, P = 0.142). eHealth literacy was also bi-directionally associated with HRQoL, and the prediction effect of eHealth literacy at T1 to HRQoL at T2 (β = 0.078, P = 0.008) was slightly higher than the prediction effect of HRQoL at T1 to eHealth literacy at T2 (β = 0.074, P = 0.023).

Conclusion

eHealth literacy and HRQoL may be antecedents for college students' health-promoting lifestyles. There may be significant bi-directional relationships between eHealth literacy and HRQoL.

How to predict the electronic health literacy of Chinese primary and secondary school students?: establishment of a model and web nomograms

Background

The internet has become an important resource for the public to obtain health information. Therefore, the ability to obtain and use such resources has become important for health literacy. This study aimed to establish a prediction model of Chinese students’ electronic health literacy (EHL) to guide government policymaking and parental interventions, identify the predictors of EHL in Chinese students using random forests, and establish a corresponding prediction model to help policymakers and parents determine whether primary and secondary school students have high EHL.

Methods

This is a cross-sectional study. From June to August 2021, a cluster sample survey was conducted with 1,300 students from seven primary and secondary schools in Shaanxi Province, China. We evaluated 1,235 primary and secondary school students using the e-health literacy scale. The data were divided into training and testing datasets in a 70:30 ratio for further analysis using random forest. The predictive accuracy of the score was measured using the area under the receiver operating characteristic curve. We also used decision curve analysis to determine the usefulness of the prediction model by quantifying the net benefits at different threshold probabilities in the validation dataset. 

Results

We found that 33.6% of students had high EHL. The univariate analysis showed that age (P < 0.001), grade (P < 0.001), employment status (P < 0.001), household location (P < 0.001), parental phubbing behavior (P < 0.001), and general self-efficacy (P < 0.001) were significantly associated with EHL. A random forest classification model was developed with the training dataset (872 students), and seven variables were confirmed as important: age, grade, employment status, father education level, game time, parental phubbing behavior, and general self-efficacy. The validation of the model showed good discrimination, with an area under the curve of 0.975 in the training dataset and 0.738 in the testing dataset. The model was translated into an online risk calculator, which is freely available (https://xietao.shinyapps.io/DynNomapp/).

Conclusions

In this study, an intuitive tool to predict the EHL of Chinese primary and secondary school students was developed and validated.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-13421-4.

Understanding undergraduate students’ eHealth usage and views of the patient-provider relationship

eHealth has grown exponentially alongside technology and has become widely accessed by some populations, but little is documented about how undergraduate students use eHealth or perceive their eHealth literacy. As access to online information and non-traditional options for interacting with providers has increased, patient views of the provider-patient relationship may also be changing. This study evaluates how frequently undergraduates use eHealth, how they perceive their ability to use eHealth appropriately, and how they view their patient-provider relationships. A mixed methods approach was used to address the research questions, with quantitative data from a survey and qualitative data from follow-up interviews of twelve of the survey respondents. The survey was distributed to over 650 undergraduate students in introductory biology laboratory courses for students of all fields of interest at one university. Based on 527 survey responses and 12 interviews, students reported commonly using eHealth but being skeptical of telehealth appointments. Although students generally felt capable of finding and interpreting eHealth sources, they were not strongly confident in their ability to do so. Use of eHealth was not seen as altering the patient-provider relationship, but students expressed a desire for their physician to act more as a counselor or advisor than a guardian. Students from minority populations were more likely to use eHealth in comparison to their peers. In addition, student comfort with their provider differed by race and ethnicity, as well as whether they shared the same gender identity as their provider. This research highlights how undergraduate students, who are often making medical decisions for themselves for the first time as adults, access health information and view the patient-provider relationship differently than the traditional guardian or paternalistic model. In addition, having diverse, culturally competent medical providers are critical for students to develop the relationship with their provider that they desire.

Medical Students' Perceptions towards Digitization and Artificial Intelligence: A Mixed-Methods Study

Digital technologies in health care, including artificial intelligence (AI) and robotics, constantly increase. The aim of this study was to explore attitudes of 2020 medical students’ generation towards various aspects of eHealth technologies with the focus on AI using an exploratory sequential mixed-method analysis. Data from semi-structured interviews with 28 students from five medical faculties were used to construct an online survey send to about 80,000 medical students in Germany. Most students expressed positive attitudes towards digital applications in medicine. Students with a problem-based curriculum (PBC) in contrast to those with a science-based curriculum (SBC) and male undergraduate students think that AI solutions result in better diagnosis than those from physicians (p < 0.001). Male undergraduate students had the most positive view of AI (p < 0.002). Around 38% of the students felt ill-prepared and could not answer AI-related questions because digitization in medicine and AI are not a formal part of the medical curriculum. AI rating regarding the usefulness in diagnostics differed significantly between groups. Higher emphasis in medical curriculum of digital solutions in patient care is postulated.

Predictors of eHealth Literacy and Its Associations with Preventive Behaviors, Fear of COVID-19, Anxiety, and Depression among Undergraduate Nursing Students: A Cross-Sectional Survey

Background: The infodemic has been co-existing with the COVID-19 pandemic with an influx of misinformation and conspiracy theories. These affect people’s psychological health and adherence to preventive measures. eHealth literacy (eHEALS) may help with alleviating the negative effects of the infodemic. As nursing students are future healthcare professionals, having adequate eHEALS skills is critically important in their clinical practice, safety, and health. This study aimed to (1) explore the eHEALS level and its associated factors, and (2) examine the associations of eHEALS with preventive behaviors, fear of COVID-19 (FCV-19S), anxiety, and depression among nursing students. Methods: We surveyed 1851 nursing students from 7 April to 31 May 2020 from eight universities across Vietnam. Data were collected, including demographic characteristics, eHEALS, adherence to preventive behaviors (handwashing, mask-wearing, physical distancing), FCV-19S, anxiety, and depression. Linear and logistic regression analyses were performed appropriately to examine associations. Results: The mean score of eHEALS was 31.4 ± 4.4. The eHEALS score was significantly higher in males (unstandardized regression coefficient, B, 0.94; 95% confidence interval, 95% CI, 0.15 to 1.73; p = 0.019), and students with a better ability to pay for medication (B, 0.79; 95% CI, 0.39 to 1.19; p < 0.001), as compared to their counterparts. Nursing students with a higher eHEALS score had a higher likelihood of adhering to hand-washing (odds ratio, OR, 1.18; 95% CI, 1.15 to 1.22; p < 0.001), mask-wearing (OR, 1.15; 95% CI, 1.12 to 1.19; p < 0.001), keeping a safe physical distance (OR, 1.20; 95% CI, 1.15 to 1.25; p < 0.001), and had a lower anxiety likelihood (OR, 0.95; 95% CI, 0.92 to 0.99; p = 0.011). Conclusions: Nursing students who were men and with better ability to pay for medication had higher eHEALS scores. Those with higher eHEALS scores had better adherence to preventive measures, and better psychological health. The development of strategies to improve eHEALS of nursing students may contribute to COVID-19 containment and improve their psychological health.

Exploring the eHealth literacy and mobile health application utilisation amongst Malaysian pharmacy students

Introduction

Pharmacy students should be eHealth literate by being skilful in searching, evaluating and applying online health information. Mobile health applications should be utilised when making clinical decisions to achieve optimal patient care with the ever-changing pharmacy practice. This study aims to explore the eHealth literacy and mobile health application utilisation amongst pharmacy undergraduates.

Methods

A cross-sectional study was conducted from March to April 2021. An online survey, consisting of socio-demographic characteristics, Internet use, eHealth Literacy Scale and mobile health application utilisation, was distributed amongst pharmacy undergraduates in public and private universities in Malaysia. Data analysis included descriptive statistics, one-way analysis of variance test, Mann–Whitney U test and Kruskal–Wallis test

Results

A total of 415 participants completed the survey (response rate    =    82.5%). The median eHealth Literacy Scale score (out of 40) was 31.0    ±    3.0 (interquartile range). More than one-third of participants (34.7%) were found to have low eHealth literacy. Many lacked confidence in making health decisions from online information (42.4%) and skills in distinguishing between high-quality and low-quality health resources (35.2%). Only 70.4% of the participants had mobile health applications installed on their smartphones and/or tablets. Some students felt that they were neither knowledgeable nor skilful enough to utilise mobile health applications (24.8%), whereas 23.9% were unaware of the mobile health applications available.

Conclusion

In summary, the eHealth literacy of Malaysian pharmacy students can be further enhanced by incorporating eHealth literacy-focused programmes into the curriculum. Moreover, pharmacy students’ mobile health application utilisation can be improved through increased awareness and support from universities.

Measuring Electronic Health Literacy: Development, Validation, and Test of Measurement Invariance of a Revised German Version of the eHealth Literacy Scale

Background

The World Wide Web has become an essential source of health information. Nevertheless, the amount and quality of information provided may lead to information overload. Therefore, people need certain skills to search for, identify, and evaluate information from the internet. In the context of health information, these competencies are summarized as the construct of eHealth literacy. Previous research has highlighted the relevance of eHealth literacy in terms of health-related outcomes. However, the existing instrument assessing eHealth literacy in the German language reveals methodological limitations regarding test development and validation. The development and validation of a revised scale for this important construct is highly relevant.

Objective

The objective of this study was the development and validation of a revised German eHealth literacy scale. In particular, this study aimed to focus on high methodological and psychometric standards to provide a valid and reliable instrument for measuring eHealth literacy in the German language.

Methods

Two internationally validated instruments were merged to cover a wide scope of the construct of eHealth literacy and create a revised eHealth literacy scale. Translation into the German language followed scientific guidelines and recommendations to ensure content validity. Data from German-speaking people (n=470) were collected in a convenience sample from October to November 2020. Validation was performed by factor analyses. Further, correlations were performed to examine convergent, discriminant, and criterion validity. Additionally, analyses of measurement invariance of gender, age, and educational level were conducted.

Results

Analyses revealed a 2-factorial model of eHealth literacy. By item-reduction, the 2 factors information seeking and information appraisal were measured with 8 items reaching acceptable-to-good model fits (comparative fit index [CFI]: 0.942, Tucker Lewis index [TLI]: 0.915, root mean square error of approximation [RMSEA]: 0.127, and standardized root mean square residual [SRMR]: 0.055). Convergent validity was comprehensively confirmed by significant correlations of information seeking and information appraisal with health literacy, internet confidence, and internet anxiety. Discriminant and criterion validity were examined by correlation analyses with various scales and could partly be confirmed. Scalar level of measurement invariance for gender (CFI: 0.932, TLI: 0.923, RMSEA: 0.122, and SRMR: 0.068) and educational level (CFI: 0.937, TLI: 0.934, RMSEA: 0.112, and SRMR: 0.063) were confirmed. Measurement invariance of age was rejected.

Conclusions

Following scientific guidelines for translation and test validation, we developed a revised German eHealth Literacy Scale (GR-eHEALS). Our factor analyses confirmed an acceptable-to-good model fit. Construct validation in terms of convergent, discriminant, and criterion validity could mainly be confirmed. Our findings provide evidence for measurement invariance of the instrument regarding gender and educational level. The newly revised GR-eHEALS questionnaire represents a valid instrument to measure the important health-related construct eHealth literacy.

Seniors’ eHealth literacy, health and education status and personal health knowledge

Background

The COVID-19 pandemic made eHealth literacy skills and online health activities essential for seniors.

Research aims

(a) To examine the differences in eHealth literacy dimensions (awareness of sources, recognizing quality and meaning, understanding information, perceived efficiency, validating information) as related to participants’ health status and education level. (b) To explore the effect of eHealth literacy dimensions on participants’ personal health knowledge.

Methods

We used a cross-sectional design with a convenience sample of 298 Israeli seniors aged 65 or over during the second lockdown. The questionnaire was composed of three sections: (a) background characteristics, (b) an eHealth Literacy scale, and (c) perceived personal health knowledge.

Results

Participants with an excellent health status reported higher levels of awareness of sources and perceived efficiency than participants with poor or good health statuses. Furthermore, participants with a graduate degree understand online information better than participants with a high school education. Moreover, it was found that participants with a high school education sense that they are being smart on the net more than participants with an undergraduate degree. Finally, we found that eHealth literacy dimensions influenced the participants’ personal health knowledge.

Conclusion

As the population ages, it becomes more at risk for disease, and as a result, its health status weakens. Therefore, it is important to provide seniors with appropriate intervention programs for improving their eHealth literacy, which may eliminate health inequality. In addition, caregivers need to develop patients’ eHealth literacy skills—finding, evaluation, and interpretation of online health knowledge relevant to them.

A Comprehensive Analysis of E-Health Literacy Research Focuses and Trends

Objective: To sort out the research focuses in the field of e-health literacy, analyze its research topics and development trends, and provide a reference for relevant research in this field in the future. Methods: The literature search yielded a total of 431 articles retrieved from the core dataset of Web of Science using the keywords “ehealth literacy”, “E-health literacy” and “electronic health literacy”. A bibliometric analysis was performed by using CiteSpace to explore the development history, hot themes, and trends of future research in the field of e-health literacy. Results: The thematic evolution path in e-health literacy was divided into three stages. The research focuses were inspected from four aspects: evaluation, correlation with health-promotion behaviors, influencing factors, and intervention measures for improvement. Conclusion: E-health literacy research faces challenges such as the development of the connotation of the term, the objectivity of evaluation methods, and the long-term impact of interventions. Future research themes in e-health literacy will include the standardization of evaluation instruments and the individualization of therapeutic strategies.

Negative Impacts of COVID-19 Induced Lockdown on Changes in Eating Behavior, Physical Activity, and Mental Health as Modified by Digital Healthy Diet Literacy and eHealth Literacy

Background: The COVID-19-induced lockdown has been implemented in many countries, which may cause unfavorable changes in lifestyles and psychological health. People's health literacy, healthy diet, and lifestyles play important roles in mitigating the negative impacts of the pandemic. Therefore, we aimed to examine associations of COVID-19 lockdown with changes in eating behavior, physical activity, and mental health; and the modification effects by digital healthy diet literacy (DDL) and eHealth literacy (eHEALS) on the associations.

Methods: We conducted an observational study on 4,348 outpatients from 7th April to 31st May 2020. Data from 11 hospitals in Vietnam included demographic characteristics, DDL, eHEALS, eating behavior, physical activity, and mental health changes. Multiple logistic regression and interaction models were performed to examine associations.

Results: Patients under lockdown had a lower likelihood of having “unchanged or healthier” eating behavior (odds ratio, OR, 0.38; 95% confidence interval, 95%CI, 0.29 to 0.51; p < 0.001), “unchanged or more” physical activity (OR, 0.79; 95% CI, 0.69 to 0.90; p < 0.001), and “stable or better” mental health (OR, 0.77; 95% CI, 0.67 to 0.89; p < 0.001), as compared to those after lockdown. In interaction models, as compared to patients after lockdown and with the lowest DDL score, those under lockdown and with a one-score increment of DDL had a higher likelihood of having “unchanged or healthier” eating behavior (OR, 1.05; 95% CI, 1.02 to 1.07; p < 0.001), and “stable or better” mental health (OR, 1.02; 95% CI, 1.01 to 1.04; p < 0.001). Similarly, as compared to patients after lockdown and with the lowest eHEALS score, those under lockdown and with a one-score increment of eHEALS had a higher likelihood of having an “unchanged or more” physical activity (OR, 1.03; 95% CI, 1.01 to 1.05; p < 0.001).

Conclusion: The COVID-19 lockdown measure could negatively affect eating behavior, physical activity, and mental health among outpatients. Better DDL and eHEALS were found to mitigate the negative impacts of the lockdown, which may empower outpatients to maintain healthy lifestyles and protect mental health. However, this study holds several limitations that may undermine the certainty of reported findings.

Association between Regular Exercise and Self-Rated Health and Sleep Quality among Adults in Japan during the COVID-19 Pandemic

Regular exercise may be associated with better self-rated health and sleep status. However, this correlation among various age groups, such as young, middle-aged, and older people, as well as during the COVID-19 pandemic, has not been examined. This study examined the correlation between regular exercise and self-rated health and sleep quality among adults in Japan during the COVID-19 pandemic. Data were collected using an online survey conducted between February 26 and 27, 2021. A total of 1410 adults in Japan (age range, 20–86 years) completed the online survey. Regular exercise was divided into: (1) more than 30 min of moderate exercise a day, (2) more than 2 days per week, and (3) continuous for 1 year or longer. Self-rated health and sleep quality were assessed using the Likert scale. After adjusting for multiple confounders, regular exercise was correlated with decreased poor self-rated health and poor sleep quality in middle-aged adults; however, no significant correlation was observed among young and older adults. The promotion of regular exercise among middle-aged people during the COVID-19 pandemic may contribute to better self-rated health and sleep quality status.

Is Electronic Health Literacy Associated with Learning Outcomes among Medical Students in the First Clinical Year?: A Cross-Sectional Study

Medical students tend to use the internet as a primary resource when seeking health information. This study aims to assess the patterns of internet use, eHL level, and learning outcomes with eHL among medical students at Chiang Mai University. A cross-sectional study was conducted among 88 medical students in the first clinical year. The eHL level was determined using the Thai version of the electronic Health Literacy Scale or eHEALS. The patient case report scores were obtained representing the learning outcome. Linear regression was used to identify factors influencing their eHL level and case report scores. Students recognized the importance and usefulness of the internet. The mean eHEALS score was 33.45. There was a lower degree of agreement on questions regarding internet usage, having skills to evaluate the resources, and confidence in using health information to make health decisions. The eHEALS score had no statistically significant association with most variables and case report scores, but with the longer time of internet use (p-value = 0.014). Although medical students perceived that they have high eHL levels, they report lower confidence in using the information. Including critical thinking skills for electronic health information in the medical curriculum could be useful.

Effect of e-Health Literacy on COVID-19 Infection-Preventive Behaviors of Undergraduate Students Majoring in Healthcare

This study examined and verified the level of e-health literacy (e-HL) and infection preventive behaviors related to COVID-19 among undergraduate students majoring in healthcare. An online survey was conducted with 274 university students majoring in nursing, clinical pathology, and occupational therapy in South Korea. The e-HL consisted of functional, communicational, and critical literacy, and preventive behaviors were based on the Prevention Guideline on Droplet Infection. The mean score for e-HL was 3.62, with nursing students obtaining the highest scores. The overall e-HL score and the scores on its three sub-dimensions were related to infection-preventive behaviors. Moreover, e-HL affected infection-preventive behaviors (p < 0.001). Findings from this study highlight the necessity of education for improving the e-HL of undergraduate students majoring in healthcare to strengthen infection-preventive behaviors and protect patients from infectious diseases.

Associations Between Health Literacy, eHealth Literacy, and COVID-19-Related Health Behaviors Among Chinese College Students: Cross-sectional Online Study

Background

During the COVID-19 pandemic, the internet has significantly spread information, providing people with knowledge and advice about health protection regarding COVID-19. While a previous study demonstrated that health and eHealth literacy are related to COVID-19 prevention behaviors, few studies have focused on the relationship between health literacy, eHealth literacy, and COVID-19–related health behaviors. The latter includes not only preventative behaviors but also conventional health behaviors.

Objective

The objective of this study was to develop and verify a COVID-19–related health behavior questionnaire, explore its status and structure, and examine the associations between these behaviors and participants’ health literacy and eHealth literacy.

Methods

A snowball sampling method was adopted to recruit participants to complete anonymous cross-sectional questionnaire surveys online that assessed sociodemographic information, self-reported coronavirus knowledge, health literacy, eHealth literacy, and COVID-19–related health behaviors.

Results

Of 1873 college students who were recruited, 781 (41.7%) had adequate health literacy; the mean eHealth literacy score was 30.16 (SD 6.31). The COVID-19–related health behavior questionnaire presented a two-factor structure—COVID-19–specific precautionary behaviors and conventional health behaviors—with satisfactory fit indices and internal consistency (Cronbach α=.79). The mean score of COVID-19–related health behaviors was 53.77 (SD 8.03), and scores differed significantly (P<.05) with respect to residence, college year, academic major, family economic level, self-reported health status, having a family member or friend infected with coronavirus, and health literacy level. Linear regression analysis showed that health literacy and eHealth literacy were positively associated with COVID-19–specific precautionary behaviors (β_{health literacy}=.149, β_{eHealth literacy}=.368; P<.001) and conventional health behaviors (β_{health literacy}=.219, β_{eHealth literacy}=.277; P<.001).

Conclusions

The COVID-19–related health behavior questionnaire was a valid and reliable measure for assessing health behaviors during the pandemic. College students with higher health literacy and eHealth literacy can more actively adopt COVID-19–related health behaviors. Additionally, compared to health literacy, eHealth literacy is more closely related to COVID-19–related health behaviors. Public intervention measures based on health and eHealth literacy are required to promote COVID-19–related health behaviors during the pandemic, which may be helpful to reduce the risk of COVID-19 infection among college students.

Willingness to Adopt mHealth Among Chinese Parents During the COVID-19 Outbreak: Cross-sectional Questionnaire Study

Background

Parental involvement in mobile health (mHealth) to consult with medical professionals appears to be prevalent in China with the rapid development of the internet. More parents with busy jobs have chosen to use mHealth. During the ongoing COVID-19 outbreak, mHealth can assist with health promotion, directions for medication use, and disease diagnosis via online chat and video consultation without contacting others. To our knowledge, no studies have been performed to explore the role of mHealth in parents’ attitudes toward child health care at home during the COVID-19 outbreak.

Objective

This study aims to identify the associated factors of willingness to adopt mHealth among Chinese parents during the COVID-19 outbreak and to explore the correlation between the frequency of adopting mHealth and parents’ attitudes toward child health care at home.

Methods

Chinese parents were asked to complete an online survey from January 25 to February 15, 2020. The questionnaire comprised of two parts with a total of 16 items, including parents’ demographic variables and attitudes toward child health care at home. By multivariate logistic regression, we explored factors associated with parents’ willingness to adopt mHealth during the COVID-19 outbreak. Pearson chi-square tests were used to reveal the correlation between the frequency of adopting mHealth and parents’ attitudes toward child health care at home.

Results

A total of 254 parents enrolled, and 202 (79.5%) parents were willing to adopt mHealth during the COVID-19 outbreak. Parents’ age (26-35 years: adjusted odds ratio [AOR] 8.114, 95% CI 1.471-44.764), parents’ interest in the COVID-19 pandemic (moderate: AOR 8.753, 95% CI 2.009-38.127; high: AOR 22.194, 95% CI 5.509-89.411), the source that recommended mHealth (medical health providers: AOR 4.257, 95% CI 1.439-12.596), the presence of chronic disease in their children (yes: AOR 20.844, 95% CI 4.600-94.443), parents’ duration of daily internet use (4-6 hours: AOR 6.487, 95% CI 1.870-22.495; >6 hours: AOR 8.766, 95% CI 1.883-40.804), and adoption of mHealth before the COVID-19 outbreak (yes: AOR 3.413, 95% CI 1.234-9.444) were significantly correlated with the parents’ willingness to adopt mHealth during the COVID-19 outbreak. The frequency of mHealth use among parents was correlated with their behaviors in regard to handwashing (χ²₆=18.967, P=.004), mask wearing (χ²₆=45.364, P<.001), frequency of leaving the home (χ²₆=16.767, P=.01), room disinfection and ventilation (χ²₆=19.515, P=.003), temperature checking (χ²₆=17.47, P=.007), and mental health care of children (χ²₆=63.810, P<.001) during the COVID-19 pandemic.

Conclusions

We found various objective factors that were associated with parents’ willingness to adopt mHealth during the COVID-19 outbreak. Overall, parents’ willingness to adopt mHealth was high. The frequency of mHealth use among parents was correlated with their attitudes toward child health care at home. The option of mHealth to patients at home during the COVID-19 outbreak would be beneficial for education and improvement in self-management of child health care at home.