The Associations between Individual Factors, eHealth Literacy, and Health Behaviors among College Students

From Validation to Assessment of e-Health Literacy: A Study among Higher Education Students in Portugal

Despite their familiarity with technology, higher education students often lack the critical skills needed to assess the credibility of online health information, potentially impacting their health decisions and well-being. This study aims to validate and assess the e-Health Literacy Scale among those in Portuguese higher education. In addition, this study focused on measuring their e-health literacy levels and investigating how these skills relate to different sociodemographic variables. This cross-sectional study was conducted in two phases. Initially, the test-retest reliability and reproducibility of measured e-health literacy were assessed with a convenience sample of 20 participants. Subsequently, the e-health scale was applied to a group of 245 Portuguese higher education students. The research took place from January 2023 to April 2024. The scale exhibited robust internal consistency and reproducibility. Male gender consistently correlates with higher levels of e-health literacy. Students demonstrate good levels of e-health literacy (24/40), reflecting their ability to effectively navigate and utilize health information online. By integrating strategies to further enhance this literacy into university health programs, students can develop essential skills necessary for making informed decisions about their health. This proactive approach not only empowers students to access reliable health resources but also fosters a culture of health literacy that can positively impact their well-being both during their academic journey and beyond graduation.

Mediterranean Diet Information on TikTok and Implications for Digital Health Promotion Research: Social Media Content Analysis

BACKGROUND

The Mediterranean diet has been linked to reduced risk for several cardiometabolic diseases. The lack of a clear definition of the Mediterranean diet in the scientific literature and the documented proliferation of nutrition misinformation on the internet suggest the potential for confusion among consumers seeking web-based Mediterranean diet information.

OBJECTIVE

We conducted a social media content analysis of information about the Mediterranean diet on the influential social media platform, TikTok, to examine public discourse about the diet and identify potential areas of misinformation. We then analyzed these findings in the context of health promotion to identify potential challenges and opportunities for the use of TikTok in promoting the Mediterranean diet for healthy living.

METHODS

The first-appearing 202 TikTok posts that resulted from a search of the hashtag #mediterraneandiet were downloaded and qualitatively examined. Post features and characteristics, poster information, and engagement metrics were extracted and synthesized across posts. Posts were categorized as those created by health professionals and those created by nonhealth professionals based on poster-reported credentials. In addition to descriptive statistics of the entire sample, we compared posts created by professionals and nonprofessionals for content using chi-square tests.

RESULTS

TikTok posts varied in content, but posts that were developed by health professionals versus nonprofessionals were more likely to offer a definition of the Mediterranean diet (16/106, 15.1% vs 2/96, 2.1%; P=.001), use scientific citations to support claims (26/106, 24.5% vs 0/96, 0%; P<.001), and discuss specific nutrients (33/106, 31.1% vs 6/96, 6.3%; P<.001) and diseases related to the diet (27/106, 25.5% vs 5/96, 5.2%; P<.001) compared to posts created by nonhealth professionals.

CONCLUSIONS

Social media holds promise as a venue to promote the Mediterranean diet, but the variability in information found in this study highlights the need to create clear definitions about the diet and its components when developing Mediterranean diet interventions that use new media structures.

Exploring students' perception of subjective food literacy: A model of educational practice

Introduction

Latest research showed that lower levels of food literacy led to poorer health outcomes and highlighted the importance of nutrition education to improve food literacy for the population. Although evidence at the global level exists, the scientific literature on food literacy in Romania is scarce; therefore, this article aims to explore the perception of subjective food literacy as an outcome of an educational model in a sample of university students from Romania.

Methods

The present study used a qualitative inductive approach using focus groups to explore the results from an educational "learning-by-doing" model regarding the perception of subjective food literacy. The sample consisted of 64 second-year students who participated in a class taught by one of the authors between October 2019 and February 2020 and later agreed to participate in the focus groups. All focus groups were audiotaped following participants' permission and transcribed verbatim. Data was analyzed with the QSR Nvivo 12 Pro software package using an inductive thematic analysis.

Results

Several themes and sub-themes emerged from the focus groups discussing prior information of participants regarding nutrition, change in nutrition knowledge (information about plant protein, information about soy and soy products, information about sugar and its effects on health, and additional nutrition information), modified perception of nutrition and food, dietary habits, short-term behavior changes, and aspects that helped them to have more information about nutrition (construction of the health campaign, pre-testing materials, and support offered by the professors). All participants reported acquiring new information about food and nutrition, modified perceptions about nutritional habits, and even reported short-term behavioral change as an outcome of the educational model.

Conclusions

Educational models using a learning-by-doing approach and combining formal and non-formal education can potentially affect students' subjective food literacy. Future research should explore university students' food literacy using evidence-based educational models.

Associations and gender differences between OHI-seeking behaviors and eHealth literacy among Chinese university students

OBJECTIVE

to explore associations and gender differences between OHI-seeking (online health information seeking) behaviors and eHealth (electronic health) literacy among Chinese university students.

METHODS

Online questionnaires of eHealth literacy scale and OHI-seeking behaviors created in software Wenjunxing were used in this survey. Chi-squared tests, t-test, and Pearson correlation analysis were performed using SPSS for data analysis.

RESULTS

Among 5,383 participants, 72.4% were girls, 77.5% lived in rural areas, 51.2% majored in liberal arts, 76.6% with low education parents. The average C-eHEALS scores of boys and girls were 26.53 ± 5.861 and 26.84 ± 5.816, respectively, with no significant difference (P = 0.084). The top three OHI-seeking behaviors for boys and girls, as well as for the C-eHEALS low and high groups, were "finding information about physical exercises" "reading or sharing health information via social media" "finding information about nutrition and diet", all of which had significant gender and eHealth literacy differences.

CONCLUSIONS

Gender and eHealth literacy differences should be focused for intervention when developing and implementing eHealth intervention training for parents and adolescents in schools and communities.

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.

Are health promotion activities and preventive health practices predictors of adolescent eHealth literacy?

Adolescents' general health status and health behaviors have been closely monitored in recent years. It is estimated that adolescents comprise one-sixth of the world's population. This study examined whether eHealth literacy was predicted via health promotion activities and preventive health practices among Turkish adolescents. This cross-sectional study was conducted between March and May 2022 with 706 adolescents in Çorum, Turkey. A face-to-face questionnaire form was used, including socio-demographic characteristics, preventive health practices, eHealth literacy scale and Adolescent Health Promotion Scale. The data of the research were analyzed with the SPSS 22.0 program. Percentage, mean, Pearson Correlation analysis, and multiple regression analysis were used in the analyzes. The p < 0.05 value was considered statistically significant in the evaluations. In the study, 55.8% were female, and the mean age of the whole group was 16.09 ± 2.63 years. The mean score on the eHealth literacy scale was 29.40 ± 6.29. The mean of the total scores obtained from the Adolescent Health Promotion Scale was 137.97 ± 21.87. There was a significant positive correlation between eHealth literacy and the Adolescent Health Promotion Scale (p < 0.001). Multiple linear regression analysis was performed to predict eHealth literacy using the variables of Adolescent Health Promotion and preventive health practices. eHealth literacy positively and significantly predicts health promotion activities (β = 0.27, t (695) = 7.54, p < 0.001). eHealth literacy increased annual weight measurement by more than 0.13 (β = 0.13), annual blood iron measurement by more than 0.16 (β = 0.16) and annual dental examination by more than 0.11 (β = 0.11). Developing eHealth literacy interventions will be necessary for environments with a high concentration of adolescents (schools and courses). Also, primary health care services should be integrated with the school environment.

Cyberchondria and its Association with Smartphone Addiction and Electronic Health Literacy among a Saudi Population

Background

Cyberchondria is a recent phenomenon characterized by the excessive/frequent searching of the internet for health-related information (HRI) that results in concerns/anxiety over health and wellness. Studies have shown an increase in the prevalence of cyberchondria and that it is associated with smartphone addiction and eHealth literacy, but few such studies are available from Saudi Arabia.

Methods

This cross-sectional study included adult Saudis living in Jeddah, Saudi Arabia, and was conducted between May 1 and June 30, 2022. A four-section questionnaire was distributed using Google Forms, and included the Cyberchondria Severity Scale (CSS), Smartphone Addiction Scale-Short Version (SAS), and Electronic Health Literacy scale (eHEALS). The scales were translated into Arabic using the forward-backward technique, and then evaluated for content validity, face validity, and reliability.

Results

The reliability of the translated versions was satisfactory: CSS Cronbach's alpha = 0.882; SAS = 0.887; eHEALS = 0.903. A total of 518 participants were inlcuded, of which the majority were female (64.1%). The prevalence of cyberchondria was 2.1% (95% CI: 1.1-3.8), 83.4% (79.9-86.5), and 14.5% (11.6-17.8) for low, moderate, and high grades, respectively. Two-thirds of the participants (66.6%) had smartphone addiction, while three-fourths (72.6%) had a high level of eHealth literacy. There were significant correlations between cyberchondria and smartphone addiction (r = 0.395, CI = 0.316/0.475, P = 0.0001) and high eHealth literacy (r = 0.265, CI = 0.182/0.349, P = 0.0001).

Conclusion

The study revealed a high prevalence of cyberchondria in a Saudi population, and this was associated with smartphone addiction and high eHealth literacy.

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.

What factors can support students' deep learning in the online environment: The mediating role of learning self-efficacy and positive academic emotions?

Introduction

In 2020, COVID-19 forced higher education institutions in many countries to turn to online distance learning. The trend of using online education has accelerated across the world. However, this change in the teaching mode has led to the decline of students' online learning quality and resulted in students being unable to do deep learning. Therefore, the current research, aimed at promoting deep learning in the online environment, constructed a theoretical model with learning self-efficacy and positive academic emotions as mediators, deep learning as the dependent variable, perceived TPACK support, peer support, technical usefulness, and ease of use as independent variables.

Methods

The theoretical model was verified by SPSS26.0 and smartPLS3.0, and to assess the measurement and structural models, the PLS approach to structural equation modeling (SEM) was performed.

Results

The study found that (a) positive academic emotions play a mediating role between perceived TPACK support and deep learning, perceived peer support and deep learning, and perceived technology usefulness and ease of use and deep learning; (b) learning self-efficacy plays a mediating role between perceived TPACK support and deep learning, perceived peer support and deep learning, and perceived technology usefulness and ease of use and deep learning.

Discussion

The findings of this study fill the gaps in the research on the theoretical models of deep learning in the online environment and provide a theoretical basis for online teaching, learning quality, and practical improvement strategies.

Analysis model of college students' mental health based on online community topic mining and emotion analysis in novel coronavirus epidemic situation

Under the epidemic situation of COVID-19, university students have different levels of anxiety, depression, and other psychological problems, and these differing levels present different challenges. Therefore, universities and relevant departments should carry out accurate psychological health education for university students. Through research, this paper found that students' psychological problems during the COVID-19 epidemic were mainly reflected in four aspects: depression, interpersonal relationship, sleep and eating disorders, and compulsive behavior. Through the discussion of family of origin, self-awareness and motivation attribution, and social pressure, this paper analyzed the causes of psychological problems. The information resources of the network are usually unstructured data, and the text information, as the most typical unstructured data, occupies a large proportion. Moreover, this text information often contains users' emotional response to major events. In this paper, a data preprocessing system is designed, and three data preprocessing rules are defined: expression data conversion rules, data deduplication rules and invalid data cleaning rules. The characteristics of online community text data are analyzed, and the text feature extraction method is selected according to its characteristics. The results of this study show that the proportion of university students with psychological problems is about 23%, which is slightly higher than the research results during the non-epidemic period. This paper suggests that college students should master methods of self-regulation, improve their levels of physical exercise, improve their physical fitness, and establish and improve their defense mechanisms to alleviate psychological conflicts and pressures.

eHealth literacy and socioeconomic and demographic characteristics of parents of children needing paediatric surgery in Sweden

AIM

The aim of the study was to describe different eHealth literacy domains among parents of children needing paediatric surgery in Sweden, and the correlation between these eHealth literacy domains and parents' socioeconomic factors and demographic characteristics.

DESIGN

Descriptive correlational design.

METHOD

Thirty-five Swedish-speaking parents participated as a historical control group within an ongoing Swedish clinical trial developing eHealth solutions for families after hospital care; of these, 30 completed the eHealth Literacy Questionnaire and the socioeconomic and demographic questionnaire.

RESULTS

Of the seven eHealth literacy domains assessed, parents' strengths lay in those pertaining to their own digital competence, control and safety, while their weakness concerned their motivation to engage with digital services, and their ability to access eHealth platforms that work. Overall, parents presented adequate eHealth literacy. Of the five socioeconomic and demographic variables assessed (i.e. monthly wages, education levels, age, gender and residency), monthly wages correlated the strongest, and positively, with the seven eHealth literacy domains.

Perceived Information Distortion about COVID-19 Vaccination and Addictive Social Media Use among Social Media Users in Hong Kong: The Moderating Roles of Functional Literacy and Critical Literacy

During the COVID-19 pandemic, distorted information about the COVID-19 vaccination is widely disseminated through social media. The present study examined the association between perceived information distortion about COVID-19 vaccination on social media, individuals’ functional and critical literacy, and addictive social media use (SMU), as well as the moderating roles of functional and critical literacy in the association between perceived information distortion and addictive SMU among social media users in Hong Kong. A web-based, cross-sectional survey was conducted among 411 Chinese citizens from June to August 2021. Findings showed that after adjusting for significant background variables, including age, gender, marital status, education, occupation, and income, functional literacy was negatively associated with addictive SMU. In addition, significant moderation effects of functional literacy and critical literacy were also observed, such that a positive association between perceived information distortion on social media and addictive SMU was significant among participants with lower functional literacy or higher critical literacy. Findings highlight the importance of improving functional literacy in addictive SMU prevention for social media users. Special attention should also be paid to the potential influence of critical literacy on addictive SMUs.

The Online Cancer Nutrition Misinformation: A framework of behavior change based on exposure to cancer nutrition misinformation

BACKGROUND

Patients with cancer and caregivers increasingly use the internet to find health and lifestyle information, yet online recipes, diet, and nutrition content are unregulated and may be confusing or even misleading. We describe cancer-related nutrition and meal planning information from Pinterest.

METHODS

In June 2020, we searched Pinterest using "cancer recipe" and "recipe for cancer" at 3 times daily for 2 weeks. Duplicates were removed for a final sample of n = 103 pins. Each pin was coded for 58 variables including descriptives, cancer claims (eg, treatment, prevention, and cure), and nutrition claims (eg, "turmeric cures cancer"). We summarized each variable to describe the content of cancer nutrition claims on Pinterest and examined associations between claim types and contextual factors, including the use of academic citations, disclaimers, and personal anecdotes.

RESULTS

Pinners had on average 116,767 followers (range, 0-1.5 million). Almost half of content sites were for profit (48.5%) and 34% were selling a product. Health claims were common, with content that purported to prevent (41.8%), treat (27.2%), or cure (10.7%) cancer. Vague phrases such as "anti-cancer," "cancer-fighting," or "cancer-busting" were also used. The inclusion of validity indicators including academic citations, disclaimers, and personal anecdotes varied significantly by the types of claims made. Together, these analyses informed the development of a conceptual framework of cancer-related nutrition misinformation.

CONCLUSIONS

There are clear financial incentives for the promotion of cancer nutrition information online. More research is needed to understand how exposure to nutrition information can influence patient/caregiver behavior and downstream clinical and psychosocial outcomes.

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.

Associations of COVID-19 Risk Perception, eHealth Literacy, and Protective Behaviors Among Chinese College Students Following Vaccination: A Cross-Sectional Study

Background

In spite of strict regulation of coronavirus disease 2019 (COVID-19) preventive measures and containment in China, there are still confirmed cases sporadically occurring in many cities. College students live in groups and have active social activities so that it will trigger a serious public health event once an infection event occurs. Thus, identifying the status and related factors of protective behaviors among them after receiving vaccination will be crucial for epidemic control. This study aimed to gather information on the protective behaviors and to identify the associations of COVID-19 risk perception, eHealth literacy, and protective behaviors for Chinese college students following vaccination.

Methods

A cross-sectional survey of college students engaged in protective behaviors post vaccination was conducted using the COVID-19 risk perception scale, eHealth literacy scale, and protective behaviors following vaccination questionnaire in one of the groups. Multiple linear regression analysis was used to confirm the correlation among the COVID-19 risk perception, eHealth literacy, and protective behaviors for Chinese college students.

Results

A total of 5,641 Chinese college students were included. Male students comprised 59.01% with an average age of (21.39 ± 2.75) years and most students rating their health as very good (44.85%) or pretty good (46.98%). A smaller percentage (13.76%) believed that they would likely or most likely be infected with COVID-19 after getting vaccinated. In addition, more than 1 in 10 (10.35%) college students had ever suspected to suffer from post-vaccination reactions following the COVID-19 vaccination. The mean score of protective behaviors was 26.06 ± 3.97. Approximately one-third (30.42%) of the students always or often did not wear a mask when going out. Some college students (29.25%) did not maintain distance of at least 1 m from others in social situations. Older female college students who were in good health and perceived as being at a low risk of getting infected with COVID-19, and those never suspected to suffer from post-vaccination reactions expected to engage in post-vaccination protective measures. Those with a higher level of perceived risk, severe risk perception and eHealth literacy, and a lower level of unknown risk perception were more likely to engage in further protective behaviors after getting vaccinated.

Conclusions

Overall, the level of protective behaviors among the Chinese college students following vaccination could be improved, especially for male, younger college students in poor health. This study revealed the predictive effects of risk perception and eHealth literacy on protective behaviors, recommending that the negative and positive effects of risk perception should be balanced in epidemic risk management, and eHealth literacy promotion should also be emphasized for public health and social measures.

Factors associated with eHealth literacy focusing on digital literacy components: A cross-sectional study of middle-aged adults in South Korea

Background

Digital technology has dramatically changed the world in which we live, and the ability to access and understand information through these new technologies is becoming increasingly important. eHealth literacy is closely related to digital literacy, and some concepts may overlap to a certain extent. Identifying personal and digital-related factors related to eHealth literacy levels in middle-aged adults would be useful for planning tailored interventions and health promotion strategies.

Objective

We aimed to identify the differences in digital literacy and eHealth literacy levels according to demographic features, and to elucidate the factors associated with eHealth literacy in the middle-aged population.

Methods

We conducted a cross-sectional, observational study from 4th to 8th February 2021. A total of 320 South Korean participants aged 40–64 years were recruited and completed an online questionnaire, where demographic features, chronic disease status, frequency of Internet use, digital skills, digital competence, and eHealth literacy were measured. eHealth literacy was measured with the eHEALS. We used multiple regression analysis to elucidate the factors associated with eHealth literacy.

Results

Multiple regression analysis revealed that digital competence was the highest contributor to an individual's eHealth literacy (β = 0.330, P < 0.001), while digital skills was not significantly associated with eHealth literacy (β = 0.086, P = 0.267). In addition, eHealth literacy was positively associated with increasing age (β = 0.258, P < 0.001), female gender (β = −0.118, P = 0.022), and higher education levels (β = 0.114, P = 0.041), while marital state, chronic disease, and frequency of internet use were not significantly associated with eHealth literacy.

Conclusions

Our study provides valuable information on digital literacy and eHealth literacy in middle-aged adults and may be used to guide tailored interventions for improving eHealth literacy. Future studies should consider the differences in digital literacy levels across generations when assessing eHealth literacy or planning digital health interventions.

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.

The Status and Influencing Factors of Cyberchondria During the COVID-19 Epidemic. A Cross-Sectional Study in Nanyang City of China

Cyberchondria is considered “the anxiety-amplifying effects of online health-related searches.” During the COVID-19 pandemic, people are likely to search health-related information online for reassurance because of fear and related physical symptoms, while cyberchondria may be triggered due to the escalation of health anxiety, different online seeking behavior preference, information overload, and insufficient e-health literacy. This study aimed to investigate the status and influencing factors of cyberchondria in residents in China during the epidemic period of COVID-19. The participants were 674 community residents of Nanyang city surveyed from February 1 to 15, 2020. We administered online measures, including the Chinese Short Form of the Cyberchondria Severity Scale (C-CSS-12), Short Health Anxiety Inventory (SHAI), eHealth Literacy Scale (eHEALS), Patient Health Questionnaire-15 (PHQ-15), and COVID-19-related online information seeking behavior questionnaire. In our study, the average C-CSS-12 total score of residents was 30.65 ± 11.53 during the virus epidemic; 25% of participants scored 22 or below, 50% scored 23 to 38, and 21.9% scored 39 to 60. The SHAI total score (β = 0.598 > 0, P < 0.001), the use of general search engines (β = 1.867 > 0, P = 0.039), and searching for information on how to diagnose COVID-19 (β = 2.280 > 0, P = 0.020) were independent risk factors for cyberchondria, while searching lasting less than 10 min each (β = −2.992 < 0, P = 0.048), the use of traditional media digital platforms (β = −1.650 < 0, P = 0.024) and professional medical communication platforms (β = −4.189 < 0, P = 0.007) were independent protective factors. Our findings showed that nearly a quarter of the participants scored 39 or higher on the C-CSS-12 in Nanyang city during the pandemic, which should be taken seriously. Health anxiety and COVID-19-related online information seeking behavior including online duration, topics and choice on different information channels were important influencing factors of cyberchondria. These findings have implications for further research and clinical practice on cyberchondria in China.

Self-Reported Behavior Change and Predictors of Engagement With a Multidomain Brain Health Intervention for Midlife and Older Adults: A Pilot Clinical Trial

OBJECTIVES

This study evaluated the efficacy of a multidomain brain health intervention on health behavior change and sought to understand whether health literacy or brain health knowledge predicted engagement with the intervention.

METHODS

One-hundred thirty midlife and older adults were assigned to one of three intervention conditions: brain fitness (B-Fit) utilizing education and goal setting, education-only, or waitlist. Questionnaires were completed at baseline and post-intervention.

RESULTS

Both B-Fit and education-only conditions reported improvements in health behaviors over time. Although effect size for the education-only condition was moderate, only the B-Fit condition differed significantly in health behaviors from the waitlist post-intervention. Lower baseline brain health knowledge predicted improvements in health behaviors for education-only condition.

DISCUSSION

The multidomain brain health intervention was successful in helping participants change their behaviors, but it was not more effective than the education-only condition. For those with lower brain health knowledge, an education-only intervention may be sufficient to encourage behavior change.

Examining the determinants of eHealth usage among elderly people with disability: The moderating role of behavioural aspects

BACKGROUND

Existing studies have demonstrated that behavioural barriers impede eHealth usage among senior citizens. However, thus far, no analysis of how such barriers affect elderly people with disabilities (PwD) has been conducted. Thus, the study investigates the predictors of eHealth usage among elderly PwD.

METHODS

Using data from a 2018 nationwide disability survey comprising 14,798 respondents in Australia, multivariate logistic regression models are used to predict the relationship between eHealth usage and the various characteristics of respondents, including access to information and communication technologies (ICTs), socioeconomic status, and level of education.

RESULTS

Although most participants (approximately 88%) have access to ICTs, few (only around 9%) have used eHealth services. The results show a number of factors are associated with an increased likelihood of using eHealth services, including higher educational attainment (odds ratio [OR] = 3.12, 95% confidence interval [CI]: 2.38, 4.24), employment (OR = 1.43, 95% CI: 1.06, 1.94), higher household income (OR = 1.39, 95% CI: 1.00, 1.96), and ICT access (OR = 15.92, 95% CI: 10.51, 27.01). The probability of eHealth use is lower for the oldest-old (OR = 0.35, 95% CI: 0.22, 0.45). In addition, the estimates from interaction effects suggest the effect of ICT penetration on use of eHealth falls by a negligible amount because of resistive attitudinal barriers (OR = 0.01, 95% CI: 0.01, 0.06).

CONCLUSION

Given the challenges of ageing populations and pandemics, such as COVID-19, eHealth services are a vital part of an effective, inclusive, and robust health care system. This study demonstrates the presence of a significant digital divide among elderly PwD and suggests that public and private efforts should be made to increase the availability of ICT infrastructure. Training could also increase inclusion in this regard.

The Prevalence and Awareness Concerning Dietary Supplement Use among Saudi Adolescents

Current dietary supplement (DS) use among Saudi school students is not well described. In this study, we aim to investigate the prevalence and predictors of DS use among adolescents. This cross-sectional study collected data via self-administered questionnaire from 1221 students (12 to 18 years). The overall prevalence of DS use was 26.2%, significantly higher in females than males (33% vs. 17.9%, p < 0.001). High proportion of female DS users demonstrated normal BMI than males (84% vs. 56.5%, p < 0.001). High percentage of male DS users were engaged in vigorous and/or high physical activity (PA) levels than female DS users (58.2% vs. 43%, p = 0.022; and 57.1% vs. 20.7%, p < 0.001, respectively). The main reasons for DS use among females were vitamin deficiency (63.3%), hair condition (37.6%) and nail health (23.5%) while in males, the main reasons were vitamin deficiency (58.4%) and body building (34.4%). The predictors of DS use in Saudi adolescents included being female, having high family income and being physically active. In conclusion, the overall prevalence and preference of DS use, though low among Saudi adolescents, was driven mostly by gender, physical activity levels and socioeconomic factors like family income. DS use guidelines and counselling among Saudi adolescents are warranted to improve public health.