Using the Internet to help with diet, weight, and physical activity: results from the Health Information National Trends Survey (HINTS)

Internet use, spatial variation and its determinants among reproductive age women in Ethiopia

BACKGROUND

The Internet is the preferred source of health information for retrieving relevant information. In Ethiopia, the Internet penetration rate is improving year to year, but it is still at a low level compared to the rest of the world and neighboring African countries. Due to a lack of adequate information, it is important to assess Internet use, spatial variation, and determinants of Internet use among reproductive-age group women in Ethiopia.

METHOD

Secondary data from EDHS 2016 were used to analyze 15,683 women aged 15-49 years. Spatial analysis was performed using ArcGIS 10.7. The Bernoulli model was used by applying Kuldorff's methods using SaTScan 10.1.2 software to analyze the purely spatial clusters of Internet use. A multilevel mixed-effect logistic regression was applied to estimate community variance to identify individual- and community-level factors associated with Internet use. All models were fitted in STATA version 17.0, and finally, the adjusted odds ratio (AOR) with a corresponding 95% confidence interval (CI) was reported.

RESULT

The magnitude of Internet use was 4.97% ± 95% CI (4.63-5.32). The overall average age of women was 24.21 ± 8.06 years, with the age range 15-24 years constituting the larger group (39.2%). Women with secondary and above education [AOR = 6.47; 95% CI (5.04, 8.31)], unmarried [AOR = 2.60; 95% CI (1.89, 3.56)], rich [AOR = 1.95; 95% CI (1.00, 3.80)], own a mobile phone [AOR = 3.74; 95% CI (2.75, 5.09)], media exposure [AOR = 2.63; 95% CI (2.03, 3.42)], and urban [AOR = 1.80; 95% CI (1.08, 3.01)] had higher odds of Internet use. The spatial variation in Internet use was found to be nonrandom (global Moran's I = 0.58, p value < 0.001). Fifty-seven primary clusters were identified that were located in Addis Ababa city with a relative likelihood of 10.24 and a log-likelihood ratio of 425.16.

CONCLUSIONS

Internet use among reproductive-age women in Ethiopia is 4.97 and has significant spatial variation across the country. Both community- and individual-level factors affect Internet use in Ethiopia. Therefore, educating women, improving access to media, encouraging women to use family planning, and supporting household wealth could improve women's Internet use.

Sociodemographic Factors Associated With Using eHealth for Information Seeking in the United States: Cross-Sectional Population-Based Study With 3 Time Points Using Health Information National Trends Survey Data

BACKGROUND

Despite the potential benefits of using eHealth, sociodemographic disparities exist in eHealth use, which threatens to further widen health equity gaps. The literature has consistently shown age and education to be associated with eHealth use, while the findings for racial and ethnic disparities are mixed. However, previous disparities may have narrowed as health care interactions shifted to web-based modalities for everyone because of the COVID-19 pandemic.

OBJECTIVE

This study aims to provide an updated examination of sociodemographic disparities that contribute to the health equity gap related to using eHealth for information seeking using 3 time points.

METHODS

Data for this study came from the nationally representative 2018 (n=3504), 2020 (n=3865), and 2022 (n=6252) time points of the Health Information National Trends Survey. Logistic regression was used to regress the use of eHealth for information seeking on race and ethnicity, sex, age, education, income, health status, and year of survey. Given the consistent association of age with the dependent variable, analyses were stratified by age cohort (millennials, Generation X, baby boomers, and silent generation) to compare individuals of similar age.

RESULTS

For millennials, being female, attaining some college or a college degree, and reporting an annual income of US $50,000-$74,999 or >US $75,000 were associated with the use of eHealth for information seeking. For Generation X, being female, having attained some college or a college degree, reporting an annual income of US $50,000-$74,999 or >US $75,000, better self-reported health, and completing the survey in 2022 (vs 2018; odds ratio [OR] 1.80, 95% CI 1.11-2.91) were associated with the use of eHealth for information seeking. For baby boomers, being female, being older, attaining a high school degree, attaining some college or a college degree, reporting an annual income of US $50,000-$74,999 or >US $75,000, and completing the survey in 2020 (OR 1.56, 95% CI 1.15-2.12) and 2022 (OR 4.04, 95% CI 2.77-5.87) were associated with the use of eHealth for information seeking. Among the silent generation, being older, attaining some college or a college degree, reporting an annual income of US $50,000-$74,999 or >US $75,000, and completing the survey in 2022 (OR 5.76, 95% CI 3.05-10.89) were associated with the use of eHealth for information seeking.

CONCLUSIONS

Baby boomers may have made the most gains in using eHealth for information seeking over time. The race and ethnicity findings, or lack thereof, may indicate a reduction in racial and ethnic disparities. Disparities based on sex, education, and income remained consistent across all age groups. This aligns with health disparities literature focused on individuals with lower socioeconomic status, and more recently on men who are less likely to seek health care compared to women.

Mediating Effect of Digital Information Utilization Ability and Interpersonal Contact on the Relationship between Cognitive Function and Depression in Korean Older Adults

Background

As Korea rapidly enters a super-aged society, interest in depression, a change in psychological function that occurs with aging, is increasing. Although previous studies have suggested a relationship between depression and cognitive decline in older adults, they have not clarified how cognitive decline leads to depression. We aimed to examine the mediating effects of digital information utilization ability (DIUA) and interpersonal contact (IC) in the relationship between cognitive function and depression in older adults.

Methods

This descriptive cross-sectional study used data from the 2020 Korean Elderly Survey. The participants were 9,920 seniors aged 65 years and older. Descriptive statistics, t-test, and one-way ANOVA correlation analysis were performed using SPSS 24.0 and the dual mediation effect was analyzed using PROCESS Macro for SPSS v.3.5 model 6.

Results

Depression had a negative correlation with cognitive function (r=-.26, P<.001), DIUA (r=-.20, P<.001), and IC (r=-.13, P<.001). Cognitive function was positively correlated with DIUA (r=.40, P<.001) and IC (r=.08, P<.001). There was a positive correlation between DIUA and IC (r=.10, P<.001). Finally, the mediating effect of cognitive function on depression through the dual parameters of DIUA and IC was also statistically significant (B=.-001, 95% CI [-.002, -.001).

Conclusion

The depression caused by cognitive decline can be reduced by improving older adults' ability to use digital information and interact with others. Therefore, social interventions to increase the interpersonal contact of older adults is required, and education programs for improving older adults' ability to utilize digital information may be developed to increase indirect contact using digital devices as well as direct contact.

Trust in Mass Media as Sources of Cancer Information: Findings from a Nationally Representative Cross-Sectional Survey in Japan

Trust is a major factor in effective public dissemination and use of relevant health information to guide important health decisions. To examine mass media as a communication channel for delivering cancer information among Japanese adults, we identified the level of trust in various types of mass media as sources of cancer information, and examined factors associated with trust, including exposure to mass media, sociodemographic factors, and cancer history. Data were analyzed for 3,109 Japanese adults who responded to a nationally representative cross-sectional mail survey. Data included trust in cancer information sources, sociodemographic variables, cancer history, and exposure to mass media. Logistic regression analysis was used. The prevalence of high trust in cancer information sources was highest for physicians (94.7%). Among mass media, Internet (47.2%) was the most trusted source of cancer-related information, followed by television (44.3%), newspapers/magazines (42.7%), and radio (32.7%). The high-exposure group for newspapers (AOR = 1.28, 95%CI = 1.07-1.54) was more likely to trust newspapers. Similarly, high-exposure groups for radio (1.22, 1.02-1.45), Internet (1.21, 1.01-1.45), and television (1.30, 1.10-1.53) were positively associated with trust in each media type. Although trust in mass media was lower than trust in physicians, the study found that a large group of respondents had high levels of trust in mass media sources. Trust in cancer information from each mass media type was mainly related to the level of exposure to each mass media type. Developing health communication strategies using mass media may be effective for disseminating relevant cancer information in Japan.

Patterns of digital health access and use among US adults: A latent class analysis

Background Digital technologies allow users to engage in health-related behaviors associated with positive outcomes. We aimed to identify classes of US adults with distinct digital technologies access and health use patterns and characterize class composition. Data came from Health Information National Trends Survey Wave 5 Cycles 1-4, a nationally representative cross-sectional survey of US adults ( N  = 13,993). We used latent class analysis to identify digital technologies access and health use patterns based on 32 behaviors and access to requisite technologies and platforms that include the internet, internet-enabled devices, health monitors, and electronic health records (EHRs). We ran a multinomial logistic regression to identify sociodemographic and health correlates of class membership ( n  = 10,734). Results Ten classes captured patterns of digital technology access and health use among US adults. This included a digitally isolated, a mobile-dependent, and a super user class, which made up 8.9%, 7.8%, and 13.6% of US adults, respectively, and captured access patterns from only basic cellphones and health monitors to near complete access to web-, mobile-, and EHR-based platforms. Half of US adults belonged to classes that lacked access to EHRs and relied on alternative web-based tools typical of patient portals. The proportion of class members who used digital technologies for health purposes varied from small to large. Older and less educated adults had lower odds of belonging to classes characterized by access or engagement in health behaviors. Hispanic and Asian adults had higher odds of belonging to the mobile-dependent class. Individuals without a regular healthcare provider and those who had not visited a provider in the past year were more likely to belong to classes with limited digital technologies access or health use. Discussion Only one third of US adults belonged to classes that had near complete access to digital technologies and whose members engaged in almost all health behaviors examined. Sex, age, and education were associated with membership in classes that lacked access to 1 + digital technologies or exhibited none to limited health uses of such technologies. Results can guide efforts to improve access and health use of digital technologies to maximize associated health benefits and minimize disparities.

Associations of online health information seeking with health behaviors of cancer survivors

Objective

To examine the effects of online health information seeking (OHIS) behavior on five health behaviors (regular physical activity, less sedentary, calorie checking, no alcohol consumption, and no smoking) among adult cancer survivors in the United States.

Methods

A cross-sectional analysis was conducted with adult cancer survivors (≥18 years old) from Cycles 2, 3, and 4 of the Health Information National Trends Survey (HINTS). The respondents self-reported OHIS, and the data on the five health behaviors were pooled to perform descriptive and multivariable logistic regression analyses using Stata 17.0.

Results

Of the 1245 adult cancer survivors, approximately 74% reported OHIS behavior for themselves within the previous year of the survey. We found that OHIS was significantly and positively associated with the level of physical activity (odds ratio [OR] = 1.53, p = .002) and calorie checking (OR = 1.64, p = .001), but not with sedentary behavior, smoking, and alcohol consumption after adjusting for age, sex, race/ethnicity, education, income, body mass index (BMI), marital status, depression, and general health.

Conclusions

Findings from this study suggest that most cancer survivors used various forms of digital tools and platforms to seek health information. The study also demonstrated an independent impact of OHIS behavior on physical activity and calorie checking. Healthcare professionals may need to encourage and guide cancer survivors to seek credible eHealth information and further utilize digital health tools as a platform for care delivery, promoting health behaviors and preventing adverse health outcomes among cancer survivors.

Use Patterns of Smartphone Apps and Wearable Devices Supporting Physical Activity and Exercise: Large-Scale Cross-Sectional Survey

Background

Physical inactivity is a global health issue, and mobile health (mHealth) apps are expected to play an important role in promoting physical activity. Empirical studies have demonstrated the efficacy and efficiency of app-based interventions, and an increasing number of apps with more functions and richer content have been released. Regardless of the success of mHealth apps, there are important evidence gaps in the literature; that is, it is largely unknown who uses what app functions and which functions are associated with physical activity.

Objective

This study aims to investigate the use patterns of apps and wearables supporting physical activity and exercise in a Japanese-speaking community sample.

Methods

We recruited 20,573 web-based panelists who completed questionnaires concerning demographics, regular physical activity levels, and use of apps and wearables supporting physical activity. Participants who indicated that they were using a physical activity app or wearable were presented with a list of app functions (eg, sensor information, goal setting, journaling, and reward), among which they selected any functions they used.

Results

Approximately one-quarter (n=4465) of the sample was identified as app users and showed similar demographic characteristics to samples documented in the literature; that is, compared with app nonusers, app users were younger (odds ratio [OR] 0.57, 95% CI 0.50-0.65), were more likely to be men (OR 0.83, 95% CI 0.77-0.90), had higher BMI scores (OR 1.02, 95% CI 1.01-1.03), had higher levels of education (university or above; OR 1.528, 95% CI 1.19-1.99), were more likely to have a child (OR 1.16, 95% CI 1.05-1.28) and job (OR 1.28, 95% CI 1.17-1.40), and had a higher household income (OR 1.40, 95% CI 1.21-1.62). Our results revealed unique associations between demographic variables and specific app functions. For example, sensor information, journaling, and GPS were more frequently used by men than women (ORs <0.84). Another important finding is that people used a median of 2 (IQR 1-4) different functions within an app, and the most common pattern was to use sensor information (ie, self-monitoring) and one other function such as goal setting or reminders.

Conclusions

Regardless of the current trend in app development toward multifunctionality, our findings highlight the importance of app simplicity. A set of two functions (more precisely, self-monitoring and one other function) might be the minimum that can be accepted by most users. In addition, the identified individual differences will help developers and stakeholders pave the way for the personalization of app functions.

Assessing the readability and quality of online information on Bell's palsy

OBJECTIVE

This study aimed to evaluate the readability and quality of current online information on Bell's palsy.

METHOD

A Google search using the terms 'Bell's palsy' and 'facial palsy' was performed separately. The first three pages of results were analysed. Readability was assessed using Flesch Reading Ease Score, Flesch-Kincaid Grade Level, the Gunning-Fog Index and the Simple Measure of Gobbledygook. Quality was assessed using the Discern tool. Spearman's correlation between quality and readability was calculated.

RESULTS

A total of 31 websites met the inclusion criteria. The mean Flesch Reading Ease Score, Flesch-Kincaid Grade Level, the Gunning Fox Index and the Simple Measure of Gobbledygook scores were 52.45 (95 per cent confidence interval = 47.01-57.86), 10.50 (95 per cent confidence interval = 9.42-11.58), 12.76 (95 per cent confidence interval = 11.68-13.85) and 9.36 (95 per cent confidence interval = 8.52-10.20), respectively. The average Discern score was 44 (95 per cent confidence interval = 40.88-47.12). A negligible correlation was noted between the Discern and Flesch Reading Ease Score (rs = -0.05, p = 0.80).

CONCLUSION

Online information on Bell's palsy is generally of fair quality but is written above the recommended reading age guidance in the UK.

Susceptibility to COVID-19 Nutrition Misinformation and Eating Behavior Change during Lockdowns: An International Web-Based Survey

To understand the susceptibility to nutrition-health misinformation related to preventing, treating, or mitigating the risk of COVID-19 during the initial lockdowns around the world, the present international web-based survey study (15 April-15 May 2020) gauged participants' (n = 3707) level of nutrition-health misinformation discernment by presenting them with 25 statements (including unfounded or unproven claims circulated at the time), alongside the influence of information sources of varying quality on the frequency of changes in their eating behavior and the extent of misinformation held, depending on the source used for such changes. Results revealed widespread misinformation about food, eating, and health practices related to COVID-19, with the 25 statements put to participants receiving up to 43% misinformed answers (e.g., 'It is safe to eat fruits and vegetables that have been washed with soap or diluted bleach'). Whereas higher quality information sources (nutrition scientists, nutrition professionals) had the biggest influence on eating behavior change, we found greater misinformation susceptibility when relying on poor quality sources for changing diet. Appropriate discernment of misinformation was weakest amongst participants who more frequently changed their eating behavior because of information from poor quality sources, suggesting disparities in the health risks/safety of the changes performed.

Impact of health-related internet use on disease management behavior of chronic patients: Mediating role of perceived credibility of online information

During the last two decades, Internet use has increased in all parts of the world. Although, the trend of actively using the Internet for seeking health-related information was already on the rise, it accelerated soon after the COVID-19 pandemic. Along with the increased use of the Internet for health decisions, serious concerns have been raised due to fake or misinformation. This study aims to determine the impact of Internet use for gathering health-related information on the disease management behavior of patients and to identify the mediating role of perceived credibility of online information. The study surveyed 200 chronic disease patients with diabetes and hypertension from the Pakistan Institute of Medical Sciences (PIMS), Islamabad, Pakistan. It is concluded that overall health-related Internet use has a positive impact on the disease management behavior of chronic disease patients. The study further confirms the mediating role of the perceived credibility of online information. Patients who are frequent users of the Internet for health information, who perceive online information more credible, reported better disease management behavior as compared to the less frequent users and those who perceive online information less credible.

The Association between Internet Use and Physical Exercise among Middle-Aged and Older Adults-Evidence from China

BACKGROUND

In an aging and digital society, Internet use is significantly associated with residents' physical exercise. This study aimed to explore the association between Internet use and physical exercise among Chinese middle-aged and older adults in two respects: Internet use and the purpose of Internet use.

METHODS

The data used in this study were obtained from the 2018 China Health and Retirement Longitudinal Study (CHARLS) conducted by Peking University. The logit model and the ordered probit model were used to analyze the association between Internet use and physical exercise, and the substitution variable method was used to examine the robustness of the results.

RESULTS

(1) Internet use and the frequency of Internet use significantly increased the probability and frequency of middle-aged and older adults' participation in physical exercise (p < 0.001). (2) "Watching news", "chatting" and "watching videos" via the Internet were positively associated with physical exercise, while "playing games" had no impact. (3) Internet use had a greater impact on physical exercise participation among middle-aged adults and those living in urban areas than among older adults and those living in rural areas.

CONCLUSIONS

This study suggests that Internet use among middle-aged and older adults is positively associated with their participation in physical exercise; the government should try to increase the popularity of Internet use to encourage their participation in physical exercise.

Can internet use change sport participation behavior among residents? Evidence from the 2017 Chinese General Social Survey

Purpose

The popularization of the internet has promoted the implementation of China's national fitness strategy and created conditions for Chinese residents to participate in sports. The internet is an essential medium for disseminating sports knowledge, and the use of the internet can change sport participation behaviors. Therefore, the internet can be used to popularize sports knowledge and promote the participation of all people in sports and thus improve the health of the entire population. This study attempts to empirically analyse how the use of the internet changes sport participation behavior.

Method

Utilizing data from the 2017 China General Social Survey, a probit model, ivprobit model, and bias-corrected non-parametric percentile bootstrap test were used to analyse the impact of internet use on sport participation behavior.

Results

The empirical results show that internet use significantly increased the probability of participation in sports by Chinese residents. Heterogeneity test results showed that internet use was more effective in promoting sport participation in middle-aged groups, groups of older persons, unmarried groups, and groups with a high school education or above. The mediating effect test results showed that internet use influenced residents' participation in sports by promoting social interaction, leisure and entertainment, and learning and recharging.

Conclusions

The internet has changed participation in sports; specifically, the use of the internet promotes sport participation. Additionally, internet use has a more obvious impact on improving the sport participation behavior of middle-aged, older, unmarried, and middle- and higher-educated individuals. Internet social interaction, internet entertainment and internet learning are effective channels to encourage Chinese residents to participate in sports and improve their health.

Perceived Effects of Socio-Economics and Social Media Variables on Body Mass Index in Saudi Young Adults

This study aimed to measure the extent to which Saudi young adults used social media as a source for nutrition information and assess the perception of those networks on their dietary behaviors. The study also investigated the association between participants' socio-economic variables, social media variables, and body mass index. A cross-sectional survey was used and distributed via social media. This study included 228 participants (20-24 years old) who lived in AL-Ahssa Province. Over 50% of the participants were single females with bachelor's degrees. Among the participants, 70% were interested in increasing their nutrition knowledge, and 95% agreed that they obtained their nutrition information through social media. The participants surfed social media for at least one hour per day. Over 70% responded that exposure to social media had influenced their dietary behaviors (adopting new positive dietary behaviors, including selecting healthy foods and reading nutrition labels). Instagram was the most used application of all social media networks, with over 50% of the participants following 2-4 Instagram accounts related to nutrition. A majority of participants (78%) preferred obtaining nutrition information through visual methods, such as videos (49.1%) and infographic images (28.9%). Challenges to using nutrition information on social media were unproven or misleading topics and provided by non-nutrition experts. Social media may therefore be an effective tool to increase nutrition awareness and assist in disseminating nutrition intervention programs by nutrition educators and experts.

Eating disorder risks and awareness among female elite cyclists: an anonymous survey

Background

Eating disorders (EDs) are an increasingly recognized concern in professional sports. Previous studies suggests that both female gender and endurance sports put athletes at risk. Female elite cyclists are hence of specific interest. The present study aimed at evaluating the distribution of the individual risk of ED in this group. Further the association between individual risk and both the awareness for the topic ED and the deviation from “normal” weight was depicted.

Methods

Female cyclists registered with the Union Cycliste Internationale were contacted via email or facebook and asked to complete a survey comprising age, weight, the Eating-Attitude-Test (EAT-26), and questions regarding ED awareness. The observed distribution of the EAT-26 score was compared to results from previous studies in normal subjects and athletes. The distribution of the ED awareness was described and ED awareness was correlated with the EAT-26 score. Both the deviation from ideal weight and the body mass index (BMI) were correlated with the EAT-26 score.

Results

Of the 409 registered athletes 386 could be contacted, 122 completed the questionnaire. Age ranged from 20-44yrs, BMI from 17.0 to 24.6 kg/m². In the EAT-26, 39 cyclists (32.0%) scored above 20 points indicating a potential benefit from clinical evaluation, 34 cyclists (27.9%) scored 10–19 points suggesting disordered eating. Sixteen athletes (13.2%) had been treated for an ED. About 70% of athletes had been pressured to lose weight. The mean EAT-26 score was above the average observed in normal female populations. It was also above the average observed in many female athlete populations, but lower than in other leanness focussed sports. More than 80%of athletes perceived elite cyclists at risk for developing ED. Increased ED awareness and deviation from the ideal weight were associated with higher EAT-26 scores, but not the body mass index.

Conclusion

Female cyclists are at risk of developing ED and they are aware of this risk. To improve their health and well-being, increased efforts to support elite cyclists and their teams in preventive activities and early detection are crucial.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13102-022-00563-6.

Food Blogs to Family Meals: A Brief Evaluation of Blogs as Resources for Home Cooking During COVID-19

This study examined the quality and healthfulness of articles and recipes on food blogs to inform nurses, other health professionals, and patients using these as resources. Recipes from 50 blogs on Feedspot.com were analyzed for nutrient content and congruency of nutrition information. Of the 178 recipes, 5.6% were low calorie, 7.3% were low in total fat, 15.2% were low sodium, and 89.3% had ≤100 kcal of total sugar. Snack recipes contained significantly less mean sodium (P = .001), and 21% of blogs provided nutrition tips with incongruent or mixed congruency recommendations. Nurses, other health professionals, and consumers should evaluate cooking blogs carefully when using them for nutrition and recipe advice.

Smartphone non-users experience disproportionately higher psychological distress than their counterparts: Mediations via psychosocial resources in a large sample of college students in China

BACKGROUND

Despite growing adoption of digital technologies, the gap between users and non-users (aka digital divide) persists. It is imperative to determine whether and how such a gap can lead to disparities in mental health outcomes among populations. However, few empirical studies have explored the effect of smartphone non-use on psychological well-being.

METHODS

A large-scale cross-sectional survey was conducted among 26,951 college students in Shaanxi Province, China. Levels of depression and loneliness were first compared between smartphone non-users and their user counterparts. Based on the Conservation of Resources theory, structural equation modeling was then used to test the mediating roles of social support, quality of peer relationship, and self-esteem.

RESULTS

Around 56.8% of smartphone non-users had probable depression and they reported significantly higher depressive symptoms (Cohen's d = 0.52) and loneliness (Cohen's d = 0.30) than users. The hypothesized mediation model was well supported with good model fit. Lower levels of social support, quality of peer relationship, and self-esteem fully mediated the total effect of smartphone non-use status on loneliness and explained 69.4% of the total effect on depression.

LIMITATIONS

Findings might be subject to self-reporting bias and limitations due to a cross-sectional design.

CONCLUSIONS

The study adds new evidence that the minority group of smartphone non-users exhibited disproportionately greater psychological distress than users resulting from lower supportive social relationships and positive sense of self. The findings inform the future investigation into digital divide in smartphone use/access and its negative impact on population's psychological well-being.

Are lifestyle changes from online information associated with discussing the information with a doctor? A cross -sectional study

BACKGROUND

The prevalence of diabetes and the use of electronic health (eHealth) are increasing. Lifestyle changes in a positive direction may reduce morbidity and mortality in patients with diabetes. The main objective of this study was to test the association between lifestyle changes based on online information seeking and discussing the information with a doctor.

METHODS

In this cross-sectional study we used e-mail survey data from 1250 members of The Norwegian Diabetes Association, collected in 2018. Included in the analyses were 847 men and women aged 18 to 89 years diagnosed with diabetes and who reported use of eHealth within the previous year. We used descriptive statistics to estimate lifestyle changes based on information from the internet. Logistic regressions were used to estimate the associations between lifestyle changes after online information seeking and discussing the information with a doctor. Analyses were adjusted for gender, age, education, and self-rated health.

RESULTS

Lifestyle changes accomplished after online information seeking was reported by 46.9% (397/847) of the participants. The odds of changing lifestyle were more than doubled for those who had discussed information from the internet with a doctor (odds ratio 2.54, confidence interval 1.90-3.40). The odds of lifestyle changes were lower in the age groups 30-39 years and 60 years and over, compared to those aged 18-29 years (the reference group). Lifestyle changes were not associated with gender, education, or self-rated health.

CONCLUSIONS

Our findings indicate that health-care professionals can play an important role in lifestyle changes additional to health-advice found on the internet. This study underlines the importance of easily accessible high-quality online information, as well as the importance of making room for discussing lifestyle in the clinical encounter.

Frequency of Online Health Information Seeking and Types of Information Sought Among the General Chinese Population: Cross-sectional Study

BACKGROUND

The internet is one of the most popular health information resources, and the Chinese constitute one-fifth of the online users worldwide. As internet penetration continues to rise, more details on the Chinese population seeking online health information need to be known based on the current literature.

OBJECTIVE

This study aims to explore the sociodemographic differences in online health information seeking (OHIS), including the frequency of OHIS and the types of online health information sought among the general Chinese population in mainland China.

METHODS

A cross-sectional study for assessing the residents' health care needs with self-administered questionnaires was implemented in 4 counties and districts in China from July 2018 to August 2018. Pearson's chi-square test was used to identify the sociodemographic differences between infrequent and frequent online health information seekers. We also performed binary logistic regression for the 4 types of online health information as the dependent variables and the sociodemographic factors as the independent variables.

RESULTS

Compared with infrequent online health information seekers, frequent seekers were more likely to be female (infrequent: 1654/3318; 49.85%; frequent: 1015/1831, 55.43%), older (over 60 years old; infrequent: 454/3318, 13.68%; frequent: 282/1831, 15.40%), married (infrequent: 2649/3318, 79.84%; frequent: 1537/1831, 83.94%), and better educated (bachelor's or above; infrequent: 834/3318, 25.14%; frequent: 566/1831, 30.91%). They were also more likely to earn a higher income (over RMB ¥50k [RMB ¥1=US $0.15641]; infrequent: 1139/3318, 34.33%; frequent: 710/1831, 34.78%), have commercial health insurance (infrequent: 628/3318, 18.93%; frequent: 470/1831, 25.67%), and have reported illness in the past 12 months (infrequent: 659/3318, 19.86%; frequent: 415/1831, 22.67%). Among the 4 health information types, health science popularization was the most searched for information by Chinese online health information seekers (3654/5149, 70.79%), followed by healthy behaviors (3567/5149, 69.28%), traditional Chinese medicine (1931/5149, 37.50%), and medical concerns (1703/5149, 33.07%). The binary logistic regression models showed that males were less likely to seek information on healthy behaviors (adjusted odds ratio [AOR] 0.69, 95% CI 0.61-0.78) and traditional Chinese medicine (AOR 0.64, 95% CI 0.57-0.73), and respondents who had at least 1 chronic disease were more likely to seek information on medical concerns (AOR 1.27, 95% CI 1.07-1.51) and traditional Chinese medicine (AOR 1.26, 95% CI 1.06-1.49).

CONCLUSIONS

Sociodemographic factors were associated with the frequency of OHIS and types of information sought among the general Chinese population. The results remind providers of online health information to consider the needs of specific population groups when tailoring and presenting health information to the target population.

Patient-Reported Outcomes in a Nationally Representative Sample of Older Internet Users: Cross-sectional Survey

BACKGROUND

The rapid diffusion of the internet has decreased consumer reliance on health care providers for health information and facilitated the patients' ability to be an agent in control of their own health. However, empirical evidence is limited regarding the effects of health-related internet use among older adults, which is complicated by the proliferation of online health and medical sources of questionable scientific accuracy.

OBJECTIVE

We explore the effects of health-related internet use, education, and eHealth literacy on medical encounters and patient-reported outcomes. Patient-reported outcomes are categorized into two dimensions: (1) self-reported health problem and (2) affective distress (feeling worried and anxious) due to information obtained. We were particularly interested in whether education and eHealth literacy moderate the association between perceived strain in medical encounters and patient-reported outcomes.

METHODS

Our study sample consisted of online panel members who have used the internet as a resource for health information, randomly drawn from one of the largest probability-based online research panels. This paper specifically reports results obtained from older panel members (age≥60 years: n=194). First, we examined descriptive statistics and bivariate associations (Pearson correlations and independent samples t tests). We used hierarchical ordinary least squares regression analyses by running separate regressions for each patient-reported outcome. In model 1, we entered the main effects. In model 2, technology and medical encounter variables were included. Model 3 added the statistical interaction terms.

RESULTS

Age (β=-.17; P=.02), gender (β=-.22; P=.01), and medical satisfaction (β=-.28; P=.01) were significant predictors of self-reported health problems. Affective distress was positively predicted by gender (β=.13; P=.05) and satisfaction with medical encounters (β=.34; P<.001) but negatively predicted by education (β=-.18; P=.03) and eHealth literacy (β=-.32; P=.01). The association between experiencing a health problem in relation to health-related internet use and perception of strained medical encounters was greater among respondents with lower levels of education (β=-.55; P=.04). There was also a significant interaction between education and eHealth literacy in predicting the level of affective distress (β=-.60; P=.05), which indicated that higher levels of education predicted lower averages of feeling anxiety and worry despite lower eHealth literacy. Older women reported higher averages of affective distress (β=.13; P=.05), while older men reported higher averages of experiencing a self-reported health problem (β=-.22; P=.01).

CONCLUSIONS

This study provides evidence for the effect of health-related internet use on patient-reported outcomes with implications for medical encounters. The results could be used to guide educational and eHealth literacy interventions for older individuals.

Studying health-related internet and mobile device use using web logs and smartphone records

Many people use the internet to seek information that will help them understand their body and their health. Motivations for such behaviors are numerous. For example, users may wish to figure out a medical condition by searching for symptoms they experience. Similarly, they may seek more information on how to treat conditions they have been diagnosed with or seek resources on how to live a healthy life. With the ubiquitous availability of the internet, searching and finding relevant information is easier than ever before and a widespread phenomenon. To understand how people use the internet for health-related information, we use data from a sample of 1,959 internet users. A unique combination of data containing four months of users' browsing histories and mobile application use on computers and mobile devices allows us to study which health websites they visited, what information they searched for and which health applications they used. Survey data inform us about users' socio-demographic background, medical conditions and other health-related behaviors. Results show that women, young users, users with a university education and nonsmokers are most likely to use the internet and mobile applications for health-related purposes. On search engines, internet users most frequently search for pharmacies, symptoms of medical conditions and pain. Moreover, users seem most interested in information on how to live a healthy life, alternative medicine, mental health and women's health. With this study, we extend the field's understanding of who seeks and consumes health information online, what users look for as well as how individuals use mobile applications to monitor their health. Moreover, we contribute to methodological research by exploring new sources of data for understanding humans, their preferences and behaviors.

The experts' perspective of "ask-an-expert": An interview-based study of online nutrition and vaccination outreach

Social media allow experts to form communities and engage in direct dialogue with publics, which can promote mutual understanding between sciences and publics. However, little is known about experts' participation in online communities, or effective ways to prepare them for public engagement. Here, we explored these issues with experts who voluntarily engage with publics on social media, to understand their public engagement practices. Stimulated recall interviews were conducted with 20 experts who participate in question-and-answer Facebook groups dedicated to vaccines and nutrition. The findings suggest that experts employ diverse considerations in their outreach, partly to establish epistemic trustworthiness. These can be grouped into three goals and two constraints: countering misinformation, establishing benevolence, and establishing competence while maintaining integrity and clarity. Empathic failure and burnout both emerged as factors that impair establishing benevolence. We discuss implications for community-level science literacy and for preparing scientists for "bounded engagement with publics."

Internet Use in Relation to Overweight and Obesity: A Systematic Review and Meta-Analysis of Cross-Sectional Studies

Although several studies have investigated the association between Internet use and odds of overweight and obesity, results are inconsistent. This systematic review and meta-analysis was performed to summarize evidence on the association between Internet use and odds of overweight and obesity. A systematic literature search was conducted in PubMed/Medline, Web of Science, Scopus, and Google Scholar up to February 2019 to identify relevant publications. Finally, 9 cross-sectional studies were considered in this systematic review and meta-analysis. Combining 11 effect sizes from 9 studies, we found a significant, positive association between the highest Internet use, compared to the lowest (ranged from ≥5 h/d to no use among studies), and odds of overweight and obesity (OR: 1.47; 95% CI: 1.21-1.78; I2, 69.6%; P < 0.001), such that Internet users had 47% greater odds of being overweight or obese. We also observed a significant, positive association between the highest Internet use, compared to the lowest (ranged from ≥5 h/d to no use among studies), and overweight/obesity (OR: 1.15; 95% CI: 1.06-1.25; I2, 0.0%; P = 0.426), obesity (OR: 2.58; 95% CI: 1.88-3.54; I2, 0.0%; P = 0.637), and overweight (OR: 1.38; 95% CI: 1.16-1.64; I2, 13.1%; P = 0.330). A linear dose-response meta-analysis revealed that each additional 1 h/d of Internet use was associated with 8% increased odds of overweight and obesity (OR: 1.08; 95% CI: 1.05-1.11; I2, 3.8%; P = 0.403). Findings of this systematic review and meta-analysis indicated that Internet use was positively associated with increased odds of being overweight and obese.

Assessment of eHealth behaviors in national surveys: a systematic review of instruments

Objectives

To conduct a systematic review of instruments used in national surveys of eHealth behaviors.

Materials and Methods

Major databases and websites of federal agencies were searched with pre-determined inclusion and exclusion criteria. National surveys with measures of eHealth behaviors were identified. The survey instruments were retrieved, and their measures of eHealth behaviors were categorized and critiqued.

Results

We located 13 national surveys containing eHealth behavior assessment questions that were administered from 1999 to 2017. Most surveys were conducted annually or biennially and typically covered topics on searching health information, obtaining social support, communicating with healthcare providers, and buying medicine online; recent surveys included items related to personal health management and use of mobile tools. There were redundant measures of searching health information online but insufficient measures of use of mobile apps, social media, and wearable devices.

Discussion

Future assessment of eHealth behaviors should reflect the growing varieties of behaviors enabled by technology development and reflect the current mobile ownership patterns in diverse social groups. More studies also need to include longitudinal surveys, integrative and standardized measures, and better designs to allow data linkage and comparison.

Conclusion

The existing survey instruments covering eHealth behaviors are rather limited compared to fast technological progress. We call for more national surveys on eHealth behaviors that are more responsive to technology development; we also advocate for more analysis and dissemination of existing national data on eHealth behaviors for evidence-based health policies.

Social Media as a Nutrition Resource for Athletes: A Cross-Sectional Survey

Social media contains a wealth of nutrition information and proposes a cost-effective, highly engaging platform to deliver nutrition information to athletes. This study used an online questionnaire to determine whether New Zealand athletes are using social media as a source of nutrition information and to understand perceptions of social media as a nutrition resource. Quantitative data were analyzed using t tests, chi-squared tests, and logistic regression analysis. Inductive thematic analysis was adopted for the qualitative data. From the 306 athletes who completed the questionnaire, 65% reported social media use for nutrition purposes in the past 12 months. Social media use was predicted by both athlete status and gender. Female athletes were more likely to have used social media for nutrition purposes (odds ratio = 2.7, 95% confidence interval [1.52, 4.62], p = .001) than males. Elite athletes were less likely to have used social media for nutrition (odds ratio = 0.44, 95% confidence interval [0.24, 0.83], p = .011) than recreational athletes. Athletes commonly used social media for practical nutrition purposes, including recipes and information about restaurants/cafes. Perceived advantages of social media as a nutrition resource included ease of access, well-presented information, personal connectedness, and information richness. Athletes' primary concern for obtaining nutrition information from social media was information unreliability.

Supporting Engagement, Adherence, and Behavior Change in Online Dietary Interventions

INTRODUCTION

Poor diet is a leading cause of death and disease globally. This epidemic requires effective and accessible interventions to stop the increasing number of diet-related deaths and the health and economic impacts of diet-related disease. Online interventions provide flexibility and accessibility. With the ubiquitous use of smartphones, they can be intertwined with daily activities such as shopping and eating. The aim of this review is to determine what features and behavior change techniques employed in online dietary interventions for adult populations promoting dietary behavior change.

METHODS

The researchers conducted a systematic search of Cumulative Index of Nursing and Allied Health, Cochrane Library, Global Health, MEDLINE, PsychINFO, and psychological and behavioral sciences electronic bibliography databases, and specialist electronic health (e-health) journals from database inception to January, 2018. Studies were included if they were randomized controlled trials of online dietary interventions with active comparator conditions in adult populations, and with reported dietary change measures. A quality score was applied to each study calculated by a developed scoring system. The review analyzed intervention dietary change measures, attrition (nonuse and dropout), engagement (metrics and intensity of use), adherence (defined as compliance to the treatment protocol), behavior change techniques employed to achieve dietary change, and techniques employed in successful (those who achieved significant results in the targeted dietary behavior) vs unsuccessful interventions as reported by the studies.

RESULTS

A total of 21 studies composed of a total of 7,455 adults and reporting on 19 different e-health interventions were included from 1,237 records. These studies targeted dietary change as measured by reduced energy intake (5) or changes in specific dietary components (15) and overall diet quality (4). Dietary change was a behavior target in general healthy populations (12) and for managing diseases such as obesity and cardiovascular disease (7), or for improving quality of life for those with chronic conditions (1). Improvements in dietary behavior were seen in 14 of the 19 interventions reported.

DISCUSSION

The results suggest that online interventions can be successful in achieving dietary behavior change across a range of defined populations. However, disparate reporting of engagement and limited reporting of nonuse attrition rates limited the analysis of which behavior change techniques were most effective in achieving this change.

IMPLICATIONS FOR RESEARCH AND PRACTICE

The results of this review support the potential of online and smartphone dietary interventions as a method to achieve change in diet in defined populations. However, further work needs to be done in examining how users engage with interventions, and thus which behavior change techniques are most effective.

Sociodemographic, Attitudinal, and Behavioral Correlates of Using Nutrition, Weight Loss, and Fitness Websites: An Online Survey

Background

Nutrition, diet, and fitness are among the most searched health topics by internet users. Besides that, health-related internet users are diverse in their motivations and individual characteristics. However, little is known about the individual characteristics associated with the usage of nutrition, weight loss, and fitness websites.

Objective

The aim of this study was to examine the individual factors associated with the usage of nutrition, weight loss, and fitness websites.

Methods

An invitation to an online survey was published on 65 websites and discussion forums. In total, we employed data from 623 participants (aged 13 to 39 years, mean 24.11 [SD 5.26]). The measures included frequency of usage of nutrition, weight loss and fitness websites, excessive exercise, eating disorder symptomatology, internalization of the beauty ideal, weight status, and perceived online social support. Participants’ data were used as predictors in a base linear regression model.

Results

The final model had an acceptable fit (χ²₁₀ =14.1; P=.17; root mean square error of approximation=0.03; comparative fit index=0.99; Tucker-Lewis index=0.99). Positive associations were found between usage of (1) nutrition websites and being female, higher levels of excessive exercise, and perceived online social support; (2) weight loss websites and excessive exercise, internalization, being female, eating disorder symptomatology, and being overweight or obese; and (3) fitness websites and levels of excessive exercise, internalization, and frequency of internet use.

Conclusions

The results highlighted the importance of individual differences in the usage of health-related websites.

The QUEST for quality online health information: validation of a short quantitative tool

BACKGROUND

Online health information is unregulated and can be of highly variable quality. There is currently no singular quantitative tool that has undergone a validation process, can be used for a broad range of health information, and strikes a balance between ease of use, concision and comprehensiveness. To address this gap, we developed the QUality Evaluation Scoring Tool (QUEST). Here we report on the analysis of the reliability and validity of the QUEST in assessing the quality of online health information.

METHODS

The QUEST and three existing tools designed to measure the quality of online health information were applied to two randomized samples of articles containing information about the treatment (n = 16) and prevention (n = 29) of Alzheimer disease as a sample health condition. Inter-rater reliability was assessed using a weighted Cohen's kappa (κ) for each item of the QUEST. To compare the quality scores generated by each pair of tools, convergent validity was measured using Kendall's tau (τ) ranked correlation.

RESULTS

The QUEST demonstrated high levels of inter-rater reliability for the seven quality items included in the tool (κ ranging from 0.7387 to 1.0, P < .05). The tool was also found to demonstrate high convergent validity. For both treatment- and prevention-related articles, all six pairs of tests exhibited a strong correlation between the tools (τ ranging from 0.41 to 0.65, P < .05).

CONCLUSIONS

Our findings support the QUEST as a reliable and valid tool to evaluate online articles about health. Results provide evidence that the QUEST integrates the strengths of existing tools and evaluates quality with equal efficacy using a concise, seven-item questionnaire. The QUEST can serve as a rapid, effective, and accessible method of appraising the quality of online health information for researchers and clinicians alike.

Trends of infodemiology studies: a scoping review

INTRODUCTION

The health care industry is rich in data and information. Web technologies, such as search engines and social media, have provided an opportunity for the management of user generated data in real time in the form of infodemiology studies. The aim of this study was to investigate infodemiology studies conducted during 2002-2016, and compare them based on developed, developing and in transition countries.

METHODS

This scoping review was conducted in 2017 with the help of the PRISMA guidelines. PubMed, Scopus, Science Direct, Web of Knowledge, Google Scholar, Wiley and Springer databases were searched between the years 2002 and 2016. Finally, 56 articles were included in the review and analysed.

RESULTS

The initial infodemiology studies pertain to the quality assessment of the hospital's websites. Most of the studies were on developed countries, based on flu, and published in the Journal of Medical Internet Research.

CONCLUSION

The infodemiology approach provides unmatched opportunities for the management of health data and information generated by the users. Using this potential will provide unique opportunities for the health information need assessment in real time by health librarians and thereby provide evidence based health information to the people.

Plain Language to Communicate Physical Activity Information: A Website Content Analysis

Plain language techniques are health literacy universal precautions intended to enhance health care system navigation and health outcomes. Physical activity (PA) is a popular topic on the Internet, yet it is unknown if information is communicated in plain language. This study examined how plain language techniques are included in PA websites, and if the use of plain language techniques varies according to search procedures (keyword, search engine) and website host source (government, commercial, educational/organizational). Three keywords ("physical activity," "fitness," and "exercise") were independently entered into three search engines (Google, Bing, and Yahoo) to locate a nonprobability sample of websites ( N = 61). Fourteen plain language techniques were coded within each website to examine content formatting, clarity and conciseness, and multimedia use. Approximately half ( M = 6.59; SD = 1.68) of the plain language techniques were included in each website. Keyword physical activity resulted in websites with fewer clear and concise plain language techniques ( p < .05), whereas fitness resulted in websites with more clear and concise techniques ( p < .01). Plain language techniques did not vary by search engine or the website host source. Accessing PA information that is easy to understand and behaviorally oriented may remain a challenge for users. Transdisciplinary collaborations are needed to optimize plain language techniques while communicating online PA information.

Help-Seeking on Facebook Versus More Traditional Sources of Help: Cross-Sectional Survey of Military Veterans

BACKGROUND

The media has devoted significant attention to anecdotes of individuals who post messages on Facebook prior to suicide. However, it is unclear to what extent social media is perceived as a source of help or how it compares to other sources of potential support for mental health problems.

OBJECTIVE

This study aimed to evaluate the degree to which military veterans with depression use social media for help-seeking in comparison to other more traditional sources of help.

METHODS

Cross-sectional self-report survey of 270 adult military veterans with probable major depression. Help-seeking intentions were measured with a modified General Help-Seeking Questionnaire. Facebook users and nonusers were compared via t tests, Chi-square, and mixed effects regression models. Associations between types of help-seeking were examined using mixed effects models.

RESULTS

The majority of participants were users of social media, primarily Facebook (n=162). Mean overall help-seeking intentions were similar between Facebook users and nonusers, even after adjustment for potential confounders. Facebook users were very unlikely to turn to Facebook as a venue for support when experiencing either emotional problems or suicidal thoughts. Compared to help-seeking intentions for Facebook, help-seeking intentions for formal (eg, psychologists), informal (eg, friends), or phone helpline sources of support were significantly higher. Results did not substantially change when examining users of other social media, women, or younger adults.

CONCLUSIONS

In its current form, the social media platform Facebook is not seen as a venue to seek help for emotional problems or suicidality among veterans with major depression in the United States.

Peer-Based Social Media Features in Behavior Change Interventions: Systematic Review

Background

Incorporating social media features into digital behavior change interventions (DBCIs) has the potential to contribute positively to their success. However, the lack of clear design principles to describe and guide the use of these features in behavioral interventions limits cross-study comparisons of their uses and effects.

Objective

The aim of this study was to provide a systematic review of DBCIs targeting modifiable behavioral risk factors that have included social media features as part of their intervention infrastructure. A taxonomy of social media features is presented to inform the development, description, and evaluation of behavioral interventions.

Methods

Search terms were used in 8 databases to identify DBCIs that incorporated social media features and targeted tobacco smoking, diet and nutrition, physical activities, or alcohol consumption. The screening and review process was performed by 2 independent researchers.

Results

A total of 5264 articles were screened, and 143 articles describing a total of 134 studies were retained for full review. The majority of studies (70%) reported positive outcomes, followed by 28% finding no effects with regard to their respective objectives and hypothesis, and 2% of the studies found that their interventions had negative outcomes. Few studies reported on the association between the inclusion of social media features and intervention effect. A taxonomy of social media features used in behavioral interventions has been presented with 36 social media features organized under 7 high-level categories. The taxonomy has been used to guide the analysis of this review.

Conclusions

Although social media features are commonly included in DBCIs, there is an acute lack of information with respect to their effect on outcomes and a lack of clear guidance to inform the selection process based on the features’ suitability for the different behaviors. The proposed taxonomy along with the set of recommendations included in this review will support future research aimed at isolating and reporting the effects of social media features on DBCIs, cross-study comparisons, and evaluations.

The Association Between Commonly Investigated User Factors and Various Types of eHealth Use for Self-Care of Type 2 Diabetes: Case of First-Generation Immigrants From Pakistan in the Oslo Area, Norway

Background

Sociodemographic and health-related factors are often investigated for their association with the active use of electronic health (eHealth). The importance of such factors has been found to vary, depending on the purpose or means of eHealth and the target user groups. Pakistanis are one of the biggest immigrant groups in the Oslo area, Norway. Due to an especially high risk of developing type 2 diabetes (T2D) among this population, knowledge about their use of eHealth for T2D self-management and prevention (self-care) will be valuable for both understanding this vulnerable group and for developing effective eHealth services.

Objective

The aim of this study was to examine how commonly were the nine types of eHealth for T2D self-care being used among our target group, the first-generation Pakistani immigrants living in the Oslo area. The nine types of eHealth use are divided into three broad categories based on their purpose: information seeking, communication, and active self-care. We also aimed to investigate how sociodemographic factors, as well as self-assessment of health status and digital skills are associated with the use of eHealth in this group.

Methods

A survey was carried out in the form of individual structured interviews from September 2015 to January 2016 (N=176). For this study, dichotomous data about whether or not an informant had used each of the nine types of eHealth in the last 12 months and the total number of positive answers were used as dependent variables in a regression analysis. The independent variables were age, gender, total years of education, digital skills (represented by frequency of asking for help when using information and communication technology [ICT]), and self-assessment of health status. Principal component analyses were applied to make categories of independent variables to avoid multicollinearity.

Results

Principal component analysis yielded three components: knowledge, comprising total years of education and digital skills; health, comprising age and self-assessment of health status; and gender, as being a female. With the exception of closed conversation with a few specific acquaintances about self-care of T2D (negatively associated, P=.02) and the use of ICT for relevant information-seeking by using search engines (not associated, P=.18), the knowledge component was positively associated with all the other dependent variables. The health component was negatively associated with the use of ICT for closed conversation with a few specific acquaintances about self-care of T2D (P=.01) but not associated with the other dependent variables. Gender component showed no association with any of the dependent variables.

Conclusions

In our sample, knowledge, as a composite measure of education and digital skills, was found to be the main factor associated with eHealth use regarding T2D self-care. Enhancing digital skills would encourage and support more active use of eHealth for T2D self-care.

The Digital Divide and Health Disparities in China: Evidence From a National Survey and Policy Implications

Background

The digital divide persists despite broad accessibility of mobile tools. The relationship between the digital divide and health disparities reflects social status in terms of access to resources and health outcomes; however, data on this relationship are limited from developing countries such as China.

Objective

The aim of this study was to examine the current rates of access to mobile tools (Internet use and mobile phone ownership) among older Chinese individuals (aged ≥45 years), the predictors of access at individual and community levels, and the relationship between access to mobile tools and health outcomes.

Methods

We drew cross-sectional data from a national representative survey, the China Health and Retirement Longitudinal Study (CHARLS), which focused on the older population (aged ≥45 years). We used two-level mixed logistic regression models, controlling for unobserved heterogeneity at the community and individual levels for data analysis. In addition to individual-level socioeconomic status (SES), we included community-level resources such as neighborhood amenities, health care facilities, and community organizations. Health outcomes were measured by self-reported health and absence of disability based on validated scales.

Results

Among the 18,215 participants, 6.51% had used the Internet in the past month, and 83% owned a mobile phone. In the multivariate models, Internet use was strongly associated with SES, rural or urban residence, neighborhood amenities, community resources, and geographic region. Mobile phone ownership was strongly associated with SES and rural/urban residence but not so much with neighborhood amenities and community resources. Internet use was a significant predictor of self-reported health status, and mobile phone ownership was significantly associated with having disability even after controlling for potential confounders at the individual and community levels.

Conclusions

This study is one of the first to examine digital divide and its relationship with health disparities in China. The data showed a significant digital divide in China, especially in the older population. Internet access is still limited to people with higher SES; however, the mobile phone has been adopted by the general population. The digital divide is associated with not only individual SES but also community resources. Future electronic health (eHealth) programs need to consider the accessibility of mobile tools and develop culturally appropriate programs for various social groups.

Has the Digital Health Divide Widened? Trends of Health-Related Internet Use Among Older Adults From 2003 to 2011

Objectives

To examine the trend of health-related Internet use (HRIU) among older adults.

Methods

We analyzed data from the 2003, 2005, and 2011-2012 iterations of the National Cancer Institute (NCI)-sponsored Health Information National Trends Survey (HINTS). HRIU was measured by 4 online behaviors: seeking health information, buying medicine, connecting with people with similar health problems, and communicating with doctors.

Results

Internet use and HRIU among older adults increased substantially from 2003 to 2011 with more significant increases in seeking health information and communicating with doctors online. Overall, the digital health divide between different demographic groups has narrowed, especially in terms of gender, racial/ethnic group, rural/urban residence, and various health statuses; however, age, education, and household income remain persistent predictors of the digital divide. Those in the oldest group (75 or older), those with less than a high school education, and those with very low income (<$25,000/year) continuously lagged behind their counterparts in all aspects of HRIU.

Conclusions

Despite an overall increase in HRIU and a narrowed digital divide, significant variations in HRIU in different demographic groups persisted; therefore, we call for more senior-friendly online resources and culturally appropriate interventions to bridge the digital health divide for vulnerable older adults.

Who Uses Mobile Phone Health Apps and Does Use Matter? A Secondary Data Analytics Approach

Background

Mobile phone use and the adoption of healthy lifestyle software apps (“health apps”) are rapidly proliferating. There is limited information on the users of health apps in terms of their social demographic and health characteristics, intentions to change, and actual health behaviors.

Objective

The objectives of our study were to (1) to describe the sociodemographic characteristics associated with health app use in a recent US nationally representative sample; (2) to assess the attitudinal and behavioral predictors of the use of health apps for health promotion; and (3) to examine the association between the use of health-related apps and meeting the recommended guidelines for fruit and vegetable intake and physical activity.

Methods

Data on users of mobile devices and health apps were analyzed from the National Cancer Institute’s 2015 Health Information National Trends Survey (HINTS), which was designed to provide nationally representative estimates for health information in the United States and is publicly available on the Internet. We used multivariable logistic regression models to assess sociodemographic predictors of mobile device and health app use and examine the associations between app use, intentions to change behavior, and actual behavioral change for fruit and vegetable consumption, physical activity, and weight loss.

Results

From the 3677 total HINTS respondents, older individuals (45-64 years, odds ratio, OR 0.56, 95% CI 0.47-68; 65+ years, OR 0.19, 95% CI 0.14-0.24), males (OR 0.80, 95% CI 0.66-0.94), and having degree (OR 2.83, 95% CI 2.18-3.70) or less than high school education (OR 0.43, 95% CI 0.24-0.72) were all significantly associated with a reduced likelihood of having adopted health apps. Similarly, both age and education were significant variables for predicting whether a person had adopted a mobile device, especially if that person was a college graduate (OR 3.30). Individuals with apps were significantly more likely to report intentions to improve fruit (63.8% with apps vs 58.5% without apps, P=.01) and vegetable (74.9% vs 64.3%, P<.01) consumption, physical activity (83.0% vs 65.4%, P<.01), and weight loss (83.4% vs 71.8%, P<.01). Individuals with apps were also more likely to meet recommendations for physical activity compared with those without a device or health apps (56.2% with apps vs 47.8% without apps, P<.01).

Conclusions

The main users of health apps were individuals who were younger, had more education, reported excellent health, and had a higher income. Although differences persist for gender, age, and educational attainment, many individual sociodemographic factors are becoming less potent in influencing engagement with mobile devices and health app use. App use was associated with intentions to change diet and physical activity and meeting physical activity recommendations.

Assessing the Quality of Mobile Exercise Apps Based on the American College of Sports Medicine Guidelines: A Reliable and Valid Scoring Instrument

BACKGROUND

Regular physical activity can not only help with weight management, but also lower cardiovascular risks, cancer rates, and chronic disease burden. Yet, only approximately 20% of Americans currently meet the physical activity guidelines recommended by the US Department of Health and Human Services. With the rapid development of mobile technologies, mobile apps have the potential to improve participation rates in exercise programs, particularly if they are evidence-based and are of sufficient content quality.

OBJECTIVE

The goal of this study was to develop and test an instrument, which was designed to score the content quality of exercise program apps with respect to the exercise guidelines set forth by the American College of Sports Medicine (ACSM).

METHODS

We conducted two focus groups (N=14) to elicit input for developing a preliminary 27-item scoring instruments based on the ACSM exercise prescription guidelines. Three reviewers who were no sports medicine experts independently scored 28 exercise program apps using the instrument. Inter- and intra-rater reliability was assessed among the 3 reviewers. An expert reviewer, a Fellow of the ACSM, also scored the 28 apps to create criterion scores. Criterion validity was assessed by comparing nonexpert reviewers' scores to the criterion scores.

RESULTS

Overall, inter- and intra-rater reliability was high with most coefficients being greater than .7. Inter-rater reliability coefficients ranged from .59 to .99, and intra-rater reliability coefficients ranged from .47 to 1.00. All reliability coefficients were statistically significant. Criterion validity was found to be excellent, with the weighted kappa statistics ranging from .67 to .99, indicating a substantial agreement between the scores of expert and nonexpert reviewers. Finally, all apps scored poorly against the ACSM exercise prescription guidelines. None of the apps received a score greater than 35, out of a possible maximal score of 70.

CONCLUSIONS

We have developed and presented valid and reliable scoring instruments for exercise program apps. Our instrument may be useful for consumers and health care providers who are looking for apps that provide safe, progressive general exercise programs for health and fitness.

Cost evaluation of providing evidence-based dietetic services for weight management in adults: In-person versus eHealth delivery

AIM

To compare the theoretical costs of best-practice weight management delivered by dietitians in a traditional, in-person setting compared to remote consultations delivered using eHealth technologies.

METHODS

Using national guidelines, a framework was developed outlining dietitian-delivered weight management for in-person and eHealth delivery modes. This framework mapped one-on-one patient-dietitian consultations for an adult requiring active management (BMI ≥ 30 kg/m² ) over a one-year period using both delivery modes. Resources required for both the dietitian and patient to implement each treatment mode were identified, with costs attributed for material, fixed, travel and personnel components. The resource costs were categorised as either establishment or recurring costs associated with the treatment of one patient.

RESULTS

Establishment costs were higher for eHealth compared to in-person costs ($1394.21 vs $90.05). Excluding establishment costs, the total (combined dietitian and patient) cost for one patient receiving best-practice weight management for 12 months was $560.59 for in-person delivery, compared to $389.78 for eHealth delivery. Compared to the eHealth mode, a higher proportion of the overall recurring delivery costs was attributed to the patient for the in-person mode (46.4% and 33.9%, respectively).

CONCLUSIONS

Although it is initially more expensive to establish an eHealth service mode, the overall reoccurring costs per patient for delivery of best-practice weight management were lower compared to the in-person mode. This theoretical cost evaluation establishes preliminary evidence to support alternative obesity management service models using eHealth technologies. Further research is required to determine the feasibility, efficacy and cost-effectiveness of these models within dietetic practice.

Interactions and user-perceived helpfulness in diet information social questions & answers

BACKGROUND

Online health information seeking using social questions and answers (Social Q&A) sites has been increasingly popular in recent years. It calls for better understanding of health information seeking behaviour and interactions between information seekers and information providers.

OBJECTIVES

The study investigates how diet information seekers interact with information providers on WebMD Answers, which is a Social Q&A site devoted to health-related topics, and examines the factors that constitute a 'helpful' answer from an information seeker's perspective.

METHODS

Bales' interaction process analysis was applied as the framework to analyse 568 diet-related Q&As from WebMD Answers to identify interaction patterns.

RESULTS

Most diet information seekers post questions anonymously and without any detailed description. Individual experts or health organisations provide most answers. Overall, answers are positively received and had a high satisfaction rating. It was also found that information seeker-perceived helpfulness does not depend on who answered the question but to how an information seeker posted the question.

CONCLUSIONS

This study indicates that answers at WebMD Answers are helpful for diet information seekers. It sheds new light on the interactions during the Q&A process, preferred site functions and important factors that contribute to perceived helpful answers.

Accuracy of weight loss information in Spanish search engine results on the internet

OBJECTIVE

To systematically assess the quality of online information related to weight loss that Spanish speakers in the U.S. are likely to access.

METHODS

This study evaluated the accessibility and quality of information for websites that were identified from weight loss queries in Spanish and compared this with previously published results in English. The content was scored with respect to five dimensions: nutrition, physical activity, behavior, pharmacotherapy, and surgical recommendations.

RESULTS

Sixty-six websites met eligibility criteria (21 commercial, 24 news/media, 10 blogs, 0 medical/government/university, 11 unclassified sites). Of 16 possible points, mean content quality score was 3.4 (SD = 2.0). Approximately 1.5% of sites scored greater than 8 (out of 12) on nutrition, physical activity, and behavior. Unsubstantiated claims were made on 94% of the websites. Content quality scores varied significantly by type of website (P < 0.0001) with unclassified websites scoring the highest (mean = 6.3, SD = 1.4) and blogs scoring the lowest (mean = 2.2, SD = 1.2). All content quality scores were lower for Spanish websites relative to English websites.

CONCLUSIONS

Weight loss information accessed in Spanish Web searches is suboptimal and relatively worse than weight loss information accessed in English, suggesting that U.S. Spanish speakers accessing weight loss information online may be provided with incomplete and inaccurate information.

Practice Paper of the Academy of Nutrition and Dietetics: Social Media and the Dietetics Practitioner: Opportunities, Challenges, and Best Practices

Social media tools, including blogs, social networks, and media-sharing sites, help nutrition and dietetics practitioners reach broader audiences and connect directly with the public. In many ways, social media has transformed the practice of dietetics and has opened up new avenues for communicating food and nutrition information. Social media has been an effective tool for virtual nutrition counseling, patient education, peer-to-peer support, and public health campaigns. Increasingly, nutrition and dietetics practitioners are using social media to network and collaborate with colleagues, conduct a job search, stay current with new research, champion a cause, promote products or services, and build a business. The potential role of social media in the profession is far reaching, yet there are important guidelines to follow related to ethics and professionalism. When using social media, nutrition and dietetics practitioners must remember that they are governed by the same Code of Ethics that guides all other aspects of practice. In addition, it is critical to have a thorough understanding of all the factors related to social media professionalism, including disclosure rules from the Federal Trade Commission, patient/client privacy and confidentiality as covered by the Health Insurance Portability and Accountability Act, and copyright laws that protect intellectual property. In today's digital age, it is essential for nutrition and dietetics practitioners to recognize the professional opportunities and challenges of social media. Failing to effectively and ethically use social media can reflect poorly on the individual practitioner and the profession. Certain violations may have legal implications. The purpose of this Academy of Nutrition and Dietetics practice paper is to provide guidance on social media's relevance, potential applications, best practices, benefits, and risks.

"Obesity is the New Major Cause of Cancer": Connections Between Obesity and Cancer on Facebook and Twitter

Social media interactions can inform public health risk perceptions. While research has examined the risk relationships between obesity and cancer, public attitudes about their associations remain largely unknown. We explored how these constructs were discussed together on two social media platforms. Publicly accessible Facebook and Twitter posts from a 2-month period in 2012 containing references to obesity ("obese/obesity," "overweight," and "fat") and cancer-related words were extracted (N = 3702 posts). Data cleaning yielded a final set of 1382 posts (Facebook: N = 291; Twitter: N = 1091). Using a mixed-methods approach, themes were inductively generated, and sentiment valence, structural elements, and epistemic stance were coded. Seven relational themes emerged: obesity is associated with cancer (n = 389), additional factors are associated with both obesity and cancer (n = 335), obesity causes cancer (n = 85), cancer causes obesity (n = 6), obesity is not linked to cancer (n = 13), co-occurrence (n = 492), and obesity is valued differently than cancer (n = 60). Fifty-nine percent of posts focused on an associative or causal link between obesity and cancer. Thirty-one percent of posts contained positive and/or negative sentiment. Facebook was more likely to contain any sentiment, but Twitter contained proportionately more negative sentiment. Concurrent qualitative analysis revealed a dominance of individual blame for overweight/obese persons and more support and empathy for cancer survivors. Our study reflects wide recognition of the evidence linking obesity to increased risk of cancer, a diverse set of factors perceived to be dually associated with both conditions and differing attribution of responsibility. We demonstrate that social media monitoring can provide an important gauge of public health risk perception.

Pasos Hacia La Salud: a randomized controlled trial of an internet-delivered physical activity intervention for Latinas

Background

Internet access has grown markedly in Latinos during the past decade. However, there have been no Internet-based physical activity interventions designed for Latinos, despite large disparities in lifestyle-related conditions, such as obesity and diabetes, particularly in Latina women. The current study tested the efficacy of a 6-month culturally adapted, individually tailored, Spanish-language Internet-based physical activity intervention.

Methods

Inactive Latinas (N = 205) were randomly assigned to the Tailored Physical Activity Internet Intervention or the Wellness Contact Control Internet Group. Participants in both groups received emails on a tapered schedule over 6 months to alert them to new content on the website. The primary outcome was minutes/week of moderate to vigorous physical activity (MVPA) at 6 months as measured by the 7-Day Physical Activity Recall; activity was also measured by accelerometers. Data were collected between 2011 and 2014 and analyzed in 2015 at the University of California, San Diego.

Results

Increases in minutes/week of MVPA were significantly greater in the Intervention Group compared to the Control Group (mean difference = 50.00, SE = 9.5, p < 0.01). Increases in objectively measured MVPA were also significantly larger in the Intervention Group (mean differences = 31.0, SE = 10.7, p < .01). The Intervention Group was also significantly more likely to meet national physical activity guidelines at 6 months (OR = 3.12, 95 % CI 1.46–6.66, p < .05).

Conclusion

Findings from the current study suggest that this Internet-delivered individually tailored intervention successfully increased MVPA in Latinas compared to a Wellness Contact Control Internet Group.

Trial registration

NCT01834287.

The McMaster Optimal Aging Portal: Usability Evaluation of a Unique Evidence-Based Health Information Website

Background

Increasingly, older adults and their informal caregivers are using the Internet to search for health-related information. There is a proliferation of health information online, but the quality of this information varies, often based on exaggerated or dramatic findings, and not easily comprehended by consumers. The McMaster Optimal Aging Portal (Portal) was developed to provide Internet users with high-quality evidence about aging and address some of these current limitations of health information posted online. The Portal includes content for health professionals coming from three best-in-class resources (MacPLUS, Health Evidence, and Health Systems Evidence) and four types of content specifically prepared for the general public (Evidence Summaries, Web Resource Ratings, Blog Posts, and Twitter messages).

Objective

Our objectives were to share the findings of the usability evaluation of the Portal with particular focus on the content features for the general public and to inform designers of health information websites and online resources for older adults about key usability themes.

Methods

Data analysis included task performance during usability testing and qualitative content analyses of both the usability sessions and interviews to identify core themes.

Results

A total of 37 participants took part in 33 usability testing sessions and 21 focused interviews. Qualitative analysis revealed common themes regarding the Portal’s strengths and challenges to usability. The strengths of the website were related to credibility, applicability, browsing function, design, and accessibility. The usability challenges included reluctance to register, process of registering, searching, terminology, and technical features.

Conclusions

The study reinforced the importance of including end users during the development of this unique, dynamic, evidence-based health information website. The feedback was applied to iteratively improve website usability. Our findings can be applied by designers of health-related websites.

Using Web-Based Technology to Promote Physical Activity in Latinas: Results of the Muévete Alabama Pilot Study

Latinas in the US report high levels of physical inactivity and are disproportionally burdened by related health conditions (eg, type 2 diabetes, obesity), highlighting the need for innovative strategies to reduce these disparities. A 1-month single-arm pretest-posttest design was utilized to assess the feasibility and acceptability of a culturally and linguistically adapted Internet-based physical activity intervention for Spanish-speaking Latinas. The intervention was based on the Social Cognitive Theory and the Transtheoretical Model. Changes in physical activity and related psychosocial variables were measured at baseline and the end of the 1-month intervention. The sample included 24 Latina adults (mean age, 35.17±11.22 years). Most (83.3%) were born outside the continental US. Intent-to-treat analyses showed a significant increase (P=.001) in self-reported moderate- to vigorous-intensity physical activity from a median of 12.5 min/wk at baseline to 67.5 min/wk at the 1-month assessment. Participants reported significant increases in self-efficacy as well as cognitive and behavioral processes of change. Nearly half of the participants (45.8%) reported advancing at least one stage of change during the course of the 1-month intervention. Findings support the feasibility and acceptability of using interactive Internet-based technology to promote physical activity among Latinas in Alabama.

Disparities in perceived patient-provider communication quality in the United States: Trends and correlates

OBJECTIVE

This study aimed to describe disparities and temporal trends in the level of perceived patient-provider communication quality (PPPCQ) in the United States, and to identify sociodemographic and health-related factors associated with elements of PPPCQ.

METHODS

A cross-sectional analysis was conducted using nationally-representative data from the 2011-2013 iterations of the Health Information National Trends Survey (HINTS). Descriptive statistics, multivariable linear and logistic regression analyses were conducted to examine associations.

RESULTS

PPPCQ scores, the composite measure of patients' ratings of communication quality, were positive overall (82.8; 95% CI: 82.1-83.5). However, less than half (42-46%) of respondents perceived that providers always addressed their feelings, spent enough time with them, or helped with feelings of uncertainty about their health. Older adults and those with a regular provider consistently had higher PPPCQ scores, while those with poorer perceived general health were consistently less likely to have positive perceptions of their providers' communication behaviors.

CONCLUSIONS

Disparities in PPPCQ can be attributed to patients' age, race/ethnicity, educational attainment, employment status, income, healthcare access and general health.

PRACTICE IMPLICATIONS

These findings may inform educational and policy efforts which aim to improve patient-provider communication, enhance the quality of care, and reduce health disparities.

Seeking health- and nutrition-related information on the Internet in a large population of French adults: results of the NutriNet-Santé study

The Internet has become a major source of health and nutrition information. Little is known about the type of consulted websites (institutional v. non-institutional) and the tendency to discuss with a healthcare professional (HCP) the information found on the Internet. The aim of this cross-sectional study was to investigate health- and nutrition-related Internet use in a large French population-based study. Data were collected in 2013 using self-administered, web-based questionnaires from 42 113 participants of the NutriNet-Santé study (mean age=51·2 years, 76 % women). Unconditional multivariate logistic regression analyses and χ 2 tests were used for comparisons. In total, 85·1 % of the subjects used the Internet to search for health and/or nutrition information, and 23·6 % used the Internet to read or post messages on health/nutrition forums. Only 16·0 % discussed with a HCP the information found online. This proportion was lower in subjects with lower educational level (OR 0·77; 95 % CI 0·72, 0·82) and lower computer skills (OR 0·70; 95 % CI 0·65, 0·76). In total, 8038 health/nutrition websites were cited, with institutional websites representing only 12·9 % of that number. Only one institutional website was present in the top 10. Older subjects (OR 1·49; 95 % CI 1·28-1·74), those with lower educational level (OR 2·08; 95 % CI 1·75, 2·50) and lower nutritional knowledge (OR 1·33; 1·12, 1·59) were more likely to cite non-institutional websites. This large population-based study showed that institutional websites were infrequently accessed and that a few participants discussed the information found online with their HCP. This particular trend was especially visible among individuals who were more vulnerable regarding misleading information. This supports the need to increase awareness of high-quality websites providing reliable health/nutrition information.

Garbage in, Garbage Out: Data Collection, Quality Assessment and Reporting Standards for Social Media Data Use in Health Research, Infodemiology and Digital Disease Detection

Background

Social media have transformed the communications landscape. People increasingly obtain news and health information online and via social media. Social media platforms also serve as novel sources of rich observational data for health research (including infodemiology, infoveillance, and digital disease detection detection). While the number of studies using social data is growing rapidly, very few of these studies transparently outline their methods for collecting, filtering, and reporting those data. Keywords and search filters applied to social data form the lens through which researchers may observe what and how people communicate about a given topic. Without a properly focused lens, research conclusions may be biased or misleading. Standards of reporting data sources and quality are needed so that data scientists and consumers of social media research can evaluate and compare methods and findings across studies.

Objective

We aimed to develop and apply a framework of social media data collection and quality assessment and to propose a reporting standard, which researchers and reviewers may use to evaluate and compare the quality of social data across studies.

Methods

We propose a conceptual framework consisting of three major steps in collecting social media data: develop, apply, and validate search filters. This framework is based on two criteria: retrieval precision (how much of retrieved data is relevant) and retrieval recall (how much of the relevant data is retrieved). We then discuss two conditions that estimation of retrieval precision and recall rely on—accurate human coding and full data collection—and how to calculate these statistics in cases that deviate from the two ideal conditions. We then apply the framework on a real-world example using approximately 4 million tobacco-related tweets collected from the Twitter firehose.

Results

We developed and applied a search filter to retrieve e-cigarette–related tweets from the archive based on three keyword categories: devices, brands, and behavior. The search filter retrieved 82,205 e-cigarette–related tweets from the archive and was validated. Retrieval precision was calculated above 95% in all cases. Retrieval recall was 86% assuming ideal conditions (no human coding errors and full data collection), 75% when unretrieved messages could not be archived, 86% assuming no false negative errors by coders, and 93% allowing both false negative and false positive errors by human coders.

Conclusions

This paper sets forth a conceptual framework for the filtering and quality evaluation of social data that addresses several common challenges and moves toward establishing a standard of reporting social data. Researchers should clearly delineate data sources, how data were accessed and collected, and the search filter building process and how retrieval precision and recall were calculated. The proposed framework can be adapted to other public social media platforms.

Nutrition Interventions for Prevention and Management of Childhood Obesity: What Do Parents Want from an eHealth Program?

With the growth of Internet technologies, offering interventions for child and family weight management in an online format may address barriers to accessing services. This study aimed to investigate (i) whether an eHealth family healthy lifestyle program would be of interest to parents; and (ii) preferences and/or expectations for program components and features. Parents of children aged four to18 years were recruited through social media and completed an online survey (54 items) including closed and open-ended questions. Responses were collated using descriptive statistics and thematic analysis. Seventy-five participants were included (92% mothers, mean age 39.1 ± 8.6 years, mean BMI 27.6 ± 6.3 kg/m²). The index child had a mean age of 11 ± 6.2 years with 24% overweight/obese. The majority of parents (90.3%) reported interest in an online program, with preference expressed for a non-structured program to allow flexibility users to log-on and off as desired. Parents wanted a program that was easy to use, practical, engaging, endorsed by a reputable source, and able to provide individual tailoring and for their children to be directly involved. The current study supports the need for online delivery of a healthy lifestyle program that targets greater parental concerns of diet rather than child weight.