Advertisement: Preregister now for the Medicine 2.0 Congress
User Perceptions of a Dementia Risk Reduction Website and Its Promotion of Behavior Change
Maree Farrow1,2, BAppSc, PhD
1Alzheimer's Australia, Hawthorn, Australia
2Centre for Research on Ageing, Health and Wellbeing, The Australian National University, Canberra, Australia
98-104 Riversdale Rd
Phone: 61 398165795
Fax: 61 398165733
Background: Several modifiable health and lifestyle factors are consistently associated with dementia risk and it is estimated that significantly fewer people would develop dementia if the incidence of risk factors could be reduced. Despite this, Australians’ awareness of the health and lifestyle factors associated with dementia risk is low. Within a national community education campaign, Alzheimer’s Australia developed a dementia risk reduction website providing information about modifiable risk or protective factors for dementia.
Objective: This study aimed to assess the usefulness of the website content in improving knowledge and enabling adoption of recommended strategies, and to examine what additional resources consumers need.
Methods: Visitors to the website over a 3 month period were invited to complete an online survey, which asked them to rate their knowledge of dementia risk reduction before and after visiting the site, how important monitoring their health related behavior was to them before and after visiting the site, their current behavior related to health and lifestyle factors associated with dementia risk, their intentions to change behavior, and the usefulness of potential additional resources to help them do so.
Results: For this study, 123 Australian adults responded to the survey. 44.7% (55/122) were aged over 60 and 82.1% (98/119) were female. Respondents’ ratings and comments indicated they generally found the content interesting, informative, and helpful to them. Respondents’ ratings of their knowledge about the links between health and lifestyle factors and dementia risk significantly increased after visiting the website (P<.001). Their ratings of how important monitoring what they do in relation to their health and lifestyle factors were also significantly increased after visiting the website (P<.001). Average ratings for how well respondents felt they were doing at the time in relation to specific risk or protective factors were generally high, suggesting many website visitors already had high levels of health motivation and healthy lifestyle behaviors. 55.6% (45/81) said that after visiting the website their intention to make lifestyle changes was strong. Only 27.1% (22/81) said their intention to visit their doctor to discuss dementia risk reduction was strong. Potential additional resources that would help people assess and address their personal dementia risk factors were rated as more helpful than general information resources.
Conclusions: A dementia risk reduction website providing information about the current evidence and practical strategies was of interest and was useful to the Australian community. Benefits for visitors included increased knowledge and increased motivation to address relevant behaviors. Many visitors to the site were already health conscious, indicating that more needs to be done to get dementia risk reduction messages to the wider community. More interactive and personalized resources in future interventions may offer additional benefits to individuals.
(JMIR Res Protoc 2013;2(1):e15)
dementia; Alzheimer's disease; risk reduction behavior; health communication; evaluation studies
The prevalence of dementia worldwide is increasing with the ageing population. In Australia, it is projected to increase four-fold to around 1 million people by 2050 , with significant impacts on the health system and economy. While dementia remains incurable, preventative health approaches to address dementia risk factors offer some hope of reducing this impact. Efforts to provide a preventative health strategy for dementia are increasingly seen as worthwhile, and vital to curbing the growing number of people who are affected [2-6].
Several modifiable health and lifestyle factors are consistently associated with the risk of developing dementia from all causes, including Alzheimer’s disease [7-9]. Midlife hypertension , midlife high total cholesterol , diabetes , midlife obesity , high saturated fat consumption , head injury , and smoking  are associated with greater risk of developing dementia. Odds ratios vary between studies and meta-analyses, but generally these factors are associated with 1.5-3 times increased risk of dementia. Regular physical exercise , mental and social activity [18,19], and higher fruit and vegetable and unsaturated fat consumption  are associated with reduced risk of developing dementia. These factors are typically associated with 30-70% reduced risk of dementia.
Preventative health approaches that facilitate lifelong mental, physical, and social activity, healthy eating and lifestyles, and prevention or control of vascular risk factors have the potential to reduce the number of people developing dementia . Barnes and Yaffe recently estimated that 3 million cases of Alzheimer’s disease could be prevented worldwide by reducing by 25% the incidence of 7 risk factors (diabetes, midlife hypertension, midlife obesity, depression, physical inactivity, smoking, and cognitive inactivity, ). Computer modelling based on population growth estimates and dementia prevalence data showed that significant impacts could be achieved by modifying the risk factor profile in the Australian population. For example, a decline in the physical inactivity rate by 5% every 5 years would reduce dementia prevalence by 11% in 2051 .
Despite this potential, most people have little knowledge about dementia risk factors . A 2008 review of surveys revealed that, on average, 51% of Australians believed risk reduction is possible, while 20% believed nothing can be done to reduce dementia risk, and the remainder were unsure . When asked how risk could be reduced, or when presented with possible reduction factors and asked which would reduce risk, mental activity was nominated by more Australians than any other strategy, followed by a healthy diet and physical exercise. The majority of people did not agree that reducing vascular risk factors (smoking, high blood pressure, and high cholesterol) could reduce dementia risk, highlighting a pressing need to educate the public that preventing or managing vascular risk factors can reduce risk of developing dementia in addition to heart disease and stroke .
Mind Your Mind
To improve public awareness, Alzheimer’s Australia (Australia’s national dementia association) developed a community education program about dementia risk reduction called Mind your Mind (MYM). The program provides information about health and lifestyle behaviors associated with lower risk of developing dementia. The 7 MYM “signposts” (body, brain, diet, habits, head, health checks, social life) deal with aspects of behavior related to modifiable risk factors for dementia. The program initially relied on community education forums and printed resources, but these have limited reach. To improve accessibility to MYM, the program now includes online resources as described in the Methods section below.
In developed countries including Australia, the vast majority of people are Internet users (in 2011 an estimated 89.8% of Australians were Internet users ). The use of the Internet for health information is increasing, in part because people like the convenience and anonymity it provides [23-25]. Web-based health information therefore has the potential to reach large audiences at low cost [26,27]. Web-based interventions are also found to be effective at increasing awareness and enabling healthy behavior changes. Many studies report positive changes in knowledge, attitude, awareness, and healthy behavior for participants using Web-based health interventions, suggesting that Web-based health resources are capable of promoting healthy lifestyles [28,29].
In 2010, a MYM website was launched . By assessing user perceptions of this website, this study aimed to determine whether evidence-based advice provided online is effective in promoting the uptake of dementia risk reduction approaches by individuals. Specifically, the study aimed to evaluate the effectiveness of the information provided in improving knowledge about dementia risk factors and the lifestyle and health strategies that may reduce risk, the effectiveness of the information provided in motivating and enabling individuals to adopt healthy behaviors, and what additional resources might assist individuals in adopting dementia risk reduction behaviors.
The MYM Website
The MYM website was developed to provide the Australian community with accessible and engaging information about the current evidence for lifestyle and medical factors associated with dementia risk. Figure 1 shows a screenshot of the MYM website home page. Table 1 describes the website sections and their contents at the time of this study. The main section of the website described the modifiable risk or protective factors associated with dementia, grouped under the 7 MYM signposts. For each factor, the current state of evidence was described in lay language and the strength of the evidence was rated using a 5-star system, and practical advice and links to relevant resources were provided. In developing the site content, Alzheimer’s Australia reviewed relevant literature, and used external experts’ advice on the recommendations being made regarding dementia risk reduction. The content was designed to be understood by Australian adults with average literacy and was not personalized for particular groups with differing levels of prior knowledge. Feedback from Alzheimer’s Australia staff and consumer advisors about the appropriateness of the content for the general public was incorporated into the final content design.
An online survey was developed using SurveyMonkey . Feedback from Alzheimer’s Australia staff and consumer advisors was incorporated into the final survey design. At the commencement of the study, a brief notice and link were provided on the MYM website homepage to a dedicated internal page that provided detailed participant information and a link to the survey. Participants were instructed to read through the website before completing the survey, both on the information page on the website and on the survey itself, to minimize the chance of completing the survey without having viewed the website. The survey consisted of 48 items including demographics and questions about knowledge of dementia risk reduction before and after visiting the website, motivation to do something to reduce dementia risk before and after visiting the website, current behavior, intentions to change lifestyle behaviors to adopt risk reduction strategies, and what additional resources people feel they need to be able to improve their risk reduction behaviors.
Most items asked respondents to rate a specific attribute of the information provided on the website using a 5-point rating scale. Respondents were also able to enter additional comments. Where items asked respondents to rate attributes of the various sections of the website or of the information provided about specific risk or protective factors, respondents were instructed to select “not applicable” for any sections or factors they had not looked at. The survey also included open questions about what lifestyle changes respondents intended to make and what additional resources might help them.
Users of the website from April to June, 2011, were invited to participate in the study via an information page on the MYM website with a link to the survey. Eligible participants included adults 18 years of age and over residing in Australia. Participants were anonymous but the survey asked for demographic information including age, gender, place of residence, medical status, education, and occupation. 123 people responded to the survey, however not everyone completed all questions.
For items rating attributes of the website using a 5-point scale, the mean rating across participants who provided a rating was calculated. Non-responders to individual questions were excluded from the analysis of those questions. t tests were conducted to examine differences in ratings between before and after visiting the website, for knowledge about the links between specific risk or protective factors and dementia, and for the importance of monitoring actions in relation to specific risk or protective factors. To correct for multiple comparisons, a significance level of P<.001 was applied.
[view this table]
|Table 1. Description of the contents of each section of the MYM website.|
[view this figure]
|Figure 1. Screenshot of the Mind your Mind website home page.|
The majority of respondents were 50-69 years of age (see Table 2). There were 98/119 (82.4%) female respondents and 86/120 (71.7%) lived in urban areas. There were 32/117 (27.0%) respondents born outside Australia and 28/121 (23.1%) reported speaking a language other than English at home. Some form of post-secondary education was completed by 76/121 (62.9%) respondents, and 39/121 (32.2 %) respondents were retired. Reported current or previous occupations were grouped according to the Australian and New Zealand Standard Classification of Occupations  and 57/118 (48.3%) respondents worked in management or professional roles. Chronic medical conditions affecting day-to-day function were reported by 10/120 (8.3%) respondents, but none had dementia.
There were no significant differences between responders and non-responders to each section of the survey regarding age group (P>.009), gender (P>.3), highest education level (P>.7), occupation classification (P>.3), or language spoken at home (English or non-English; P>.4). Older respondents were more likely to drop out of the survey earlier and not complete all questions, but not significantly so. The P values shown are representative of the lowest significance obtained from 3 t tests for each variable. The variables were compared between responders and non-responders to the 3 sections of the survey that followed the first section on demographics. For questions relating to the sections of the website, P=.03 for age, P=.66 for gender, P=.99 for education, P=.37 for occupation, and P=.43 for language. For questions relating to the specific risk or protective factors, P=.009 for age, P=.52 for gender, P=.75 for education, P=.45 for occupation, and P=.91 for language. For questions relating to potential additional resources, P=.01 for age, P=.37 for gender, P=.74 for education, P=.36 for occupation, and P=.99 for language.
[view this table]
|Table 2. Characteristics of respondents.a|
Reasons for Interest in the Website
Respondents were asked what made them interested in dementia risk reduction and visiting the website. Table 3 shows the numbers of respondents who selected given reasons. Being worried about their memory or thinking was the most selected reason. Respondents were also asked what they hoped to learn from the website. Table 4 shows the numbers of respondents who selected given topics. What to do to reduce dementia risk was the most selected topic.
Impressions of the Website and Content
Respondents overall impressions of the website were generally positive. Comments indicated that people found the content interesting, useful, and enlightening. For example, a female respondent past 70 years of age wrote,
Thank you for providing such a wealth of information on the subject. To have so much info on one site is fantastic.
However, a few respondents commented that the layout of the site could be made more interesting or that there was too much text. As shown in Table 5, the average rating of interest and appeal for most sections was between 4 (quite interesting) and 5 (very interesting), with a mean rating across sections of 4.07 (SD 0.33). The “MYM” section was rated the highest and the “blog” the lowest.
Respondents found the website easy to navigate. As shown in Table 5, average ratings for ease of navigation for each section were between 4 (somewhat easy) and 5 (very easy), with an average of 4.28 (SD 0.05) across sections. Comments about the navigation suggested that some people, while not finding it difficult, found using the drop down menus to navigate to another page annoying.
Respondents generally reported that the information provided was helpful to them, with ratings for most sections between 4 (quite helpful) and 5 (very helpful), as shown in Table 5, and a mean rating of 4.05 (SD 0.25) across sections. The “about dementia” section was rated the highest and the “blog” the lowest. Two people who felt they already knew a lot about dementia through having affected family members said that the website was not so helpful to them.
Respondents generally found the information provided easy to read and understand. As shown in Table 5, ease of understanding of website sections was rated between 3 (just right) and 4 (somewhat simplistic), with a mean rating across sections of 3.34 (SD 0.07). As shown in Table 6, ease of understanding of the information provided on specific risk or protective factors was also rated between 3 and 4, with an average rating across factors of 3.39 (SD 0.02). The information on alcohol was rated the closest to “just right” at 3.35. Comments indicated a high degree of satisfaction with understanding the content provided. For example, a female respondent in her 70s wrote, “The website is very good to read and understand specially for the people with English as a second language [sic]”. However, a male respondent in his 80s felt “the pertinent information is scattered around and not easily readable”.
Impact on Dementia Risk Reduction Knowledge
As shown in Figure 2, average ratings of how much respondents knew about the links between specific risk or protective factors and dementia risk before reading the website were between 3 (a little) and 4 (quite a bit) for most factors. The average rating across factors was 3.20 (SD 0.25). Respondents rated their prior knowledge as lowest for diabetes (mean 2.81, SD 1.11) and highest for mental activity (mean 3.66, SD 0.90). Also shown in Figure 2, average ratings of how much respondents knew about the links between specific factors and dementia risk after reading the website were between 4 (quite a bit) and 5 (a lot), with an average rating across factors of 4.32 (SD 0.08). The largest improvement in knowledge was for diabetes (increase in mean rating of 1.41) and the smallest was for mental activity (increase in mean rating of 0.80). All factors showed significantly improved knowledge (P<.001) and the average increase in rating across factors was 1.12 (SD 0.02).
On average, respondents rated how much they learned from the website sections between 3 (something) and 4 (a fair bit), as shown in Table 5, with an average rating across sections of 3.75 (SD 0.17). Learning was rated highest for the “Research” section and lowest for the “Blog”. Some respondents commented that they had previous knowledge of the topics and so personally did not learn a lot. One female respondent in her 70s commented that she felt “someone with not much knowledge about dementia would learn a fair amount about it”, while a male respondent in his 60s felt that “most people will understand that they are actions which should be taken in any case for overall wellbeing”.
[view this table]
|Table 3. Proportion of respondents who selected the given reasons for their interest in the website (N=116).|
[view this table]
|Table 4. Proportion of respondents who selected the given options for what they hoped to learn from the website (N=116).|
[view this table]
|Table 5. Mean (SD) ratings for questions asked in relation to website sections.|
[view this table]
|Table 6. Mean (SD) ratings for questions asked in relation to specific risk or protective factors.|
[view this figure]
|Figure 2. Mean ratings of knowledge about the link between risk or protective factors and dementia risk before and after visiting the Mind your Mind website (n=68). Ratings: 1=nothing at all; 2=not much; 3=a little; 4=quite a bit; 5=a lot.|
Impact on Dementia Risk Reduction Importance
As shown in Figure 3, average ratings of how important monitoring what they do in relation to specific risk or protective factors was to respondents before reading the website were between 3 (somewhat important) and 4 (quite important). The average rating across factors was 3.35 (SD 0.21). Respondents rated the importance of monitoring what they do as lowest for head injury (mean 3.03, SD 1.34) and highest for physical activity (mean 3.63, SD 1.22). Also shown in Figure 3, average ratings of how important monitoring what they do in relation to specific risk or protective factors was to respondents after reading the website were between 4 (quite important) and 5 (very important), with an average rating across factors of 4.28 (SD 0.15). The largest increase in rating of importance was for diabetes (increase in mean rating of 1.11) and the smallest was for smoking (increase in mean rating of 0.61). All factors except smoking (P=.02) showed significantly increased rating of importance (P<.001) and the average increase in rating across factors was 0.93 (SD 0.13). The information provided overall motivated 54/82 respondents (65.9%) to want to do something about reducing their dementia risk “quite a bit” or “a lot”. The mean rating for motivation was between “a little” and “quite a bit” (mean 3.66, SD 0.88).
Practicality of the Information Provided
The average rating of how well respondents (n=81) felt the information provided equipped them to do something about reducing their risk of dementia was 3.78 (SD 0.89), between “a little” and “quite well”. 56 (69.1%) said the information provided equipped them “quite well” or “very well”. Average ratings of how well the information provided for specific risk or protective factors equipped respondents to improve what they do in relation to the factors are shown in Table 6. Mean ratings were between 4 (quite well) and 5 (very well) for most factors, with an average rating across factors of 4.05 (SD 0.08). The lowest average rating was for smoking and the highest was for diabetes.
As shown in Table 6, respondents rated whether the practical tips, activities, strategies, and resources provided for specific risk or protective factors were generally relevant and useful to them between 4 (somewhat useful) and 5 (very useful) for most factors. The average rating across factors was 4.12 (SD 0.19). The usefulness of the tips for mental activity was rated highest and that for smoking was rated lowest.
Average ratings for how well respondents felt they were currently doing in relation to specific risk or protective factors were between 3 (could do better) and 4 (pretty well) or 4 and 5 (very well), as shown in Table 6, with an average rating across factors of 4.09 (SD 0.31). Current behavior was rated highest for smoking and lowest for physical activity.
Intention to Change Behavior
Of the 81 respondents, 45 (55.6%) rated their intention to make lifestyle changes to reduce their risk of dementia as 4 (somewhat strong) or 5 (very strong), and 28 (34.6%) rated their intention as 3 (considering it). The mean rating was 3.68 (SD 1.01). Only 22 (27.1%) said their intention to visit their doctor to discuss dementia risk reduction was “somewhat strong” or “very strong”, and a 21 (25.9%) were “considering it”. The mean rating was 2.63 (SD 1.29). Of those who felt they needed to change, respondents on average rated their intention to make changes to improve what they do in relation to specific risk or protective factors between 4 (somewhat strong) and 5 (very strong) for most factors, as shown in Table 6, with a mean rating across factors of 4.18 (SD 0.19). Intention to change was rated lowest for alcohol and highest for smoking.
When asked to specify what changes they intend to make, 35 people provided a response. As shown in Figure 4, the most common intended change was to increase physical activity (23 respondents), followed by improving diet (15 respondents). Only one person said they intended to try to quit smoking, but among those for whom smoking was an issue, intention to change was rated very highly as stated above.
Additional Resources Needed
Respondents rated how helpful they felt 12 suggested resources would be to them, if provided in addition to the information on the website. As shown in Table 7, average ratings were between 3 (somewhat helpful) and 4 (quite helpful) or 4 and 5 (very helpful). An online assessment to identify personal risk factors was rated highest and regular reminders to see a general practitioner was rated lowest. Several respondents commented that an online assessment to determine your individual percentage risk could be confronting, and that assessing and providing information about risk factors was a better approach. Some commented that a personalized dementia risk reduction program would need to involve their doctor. Others commented that regular reminders might be seen as “information overload”.
Respondents were asked an open question about what other information, advice, or resources they would like to see on the website and 18 people provided a response. Suggestions included opportunities to volunteer for research, information on local groups and clubs, diet and supplement information, personal stories, and information on other risk factors such as age and drugs. Respondents were also asked what else they needed to help them make changes in relation to specific risk or protective factors. The responses from 18 respondents are summarized in Table 8. Suggestions included fact sheets summarizing the important information and providing more tips to make it easier for people to take up the recommended strategies.
[view this figure]
|Figure 3. Mean ratings of importantance of monitoring behavior in relation to risk or protective factors before and after visiting the Mind your Mind website (n=67). Ratings: 1=not at all; 2=only mildly; 3=somewhat; 4=quite; 5=very (important).|
[view this figure]
|Figure 4. Number of respondents who stated intentions to make improvements in specific areas of behavior.|
[view this table]
|Table 7. Mean (SD) ratings of how useful respondents felt suggested additional resources would be to them (n=65). Ratings: 1=not at all; 2=not very; 3=somewhat; 4=quite; 5=very (helpful).|
[view this table]
|Table 8. Selected responses to the open question “What else do you think you need to help you to make changes to improve what you do in relation to the factors listed? Are there any particular resources, facilities, information, services, etc, that you think would help you?”|
This study aimed to evaluate users’ perceptions of a website providing information and resources related to health and lifestyle factors associated with the risk of developing dementia. An online survey revealed that the MYM website was viewed as being helpful and the majority of respondents perceived the website content to be interesting, informative, easy to understand, and useful.
The “MYM” and “About Dementia” sections were rated as the most interesting and helpful, suggesting visitors to the website were most interested in information about reducing dementia risk. This was supported by the finding that the most selected reasons given for visiting the website were concerns about memory or thinking and wanting to know what to do to reduce dementia risk. A recent Australian community survey found that the fear of developing dementia was second only to the fear of having cancer . The fear increased with age, with 75% of people over 60 agreeing that they are afraid of developing dementia . These findings suggest that there is much community interest in understanding what individuals can do to reduce their risk of dementia.
A study investigating the preferences of potential users of websites providing physical activity interventions found that ease of use was considered essential to the design of an appealing website . Respondents found the MYM website easy to navigate and the content easy to understand. Ratings for how easy to understand the content was averaged between “just right” and “somewhat simplistic”, suggesting the site achieved the aim of providing complex information in simple, easy to understand user-friendly terms. Respondents also had no difficulty with navigation, suggesting the layout of information was appropriate to most users’ needs.
One of the principal aims of the MYM website was to improve knowledge about dementia risk factors and what individuals can do to reduce their risk. Respondents’ ratings of their knowledge about the links between given risk or protective factors and dementia risk significantly increased after visiting the website for all factors. Prior knowledge was rated highest for mental activity and physical activity, and lowest for diabetes and cholesterol. This was consistent with previous community survey findings that there was some awareness of the links between mental stimulation and dementia risk reduction, and physical health and dementia risk reduction, but there was very little awareness of the association with cardiovascular risk factors . Encouragingly, knowledge about diabetes and cholesterol improved the most after visiting the website. Respondents’ subjective impression of how much they learned from the website was also encouraging, with an average rating approaching learned “a fair bit”.
Another principal aim of the MYM website was to promote behavior change by providing users with information and resources to assist them to adopt lifestyle and health strategies that may reduce their dementia risk. In this cross-sectional study, we did not measure actual behavior change, but assessed perceived importance of monitoring behavior and intentions to change behavior. Respondents’ ratings of how important to them monitoring what they do in relation to given risk or protective factors significantly increased after visiting the website for all factors except smoking. The smaller increase in importance for smoking was likely due to very few respondents being smokers (the highest average rating for how well respondents were currently doing in relation to risk or protective factors was for smoking).
The majority of respondents rated how much the information provided overall motivated them to do something about reducing their dementia risk as “quite a bit” or “a lot”, suggesting the website content was able to encourage users to consider behavior change. This was also supported by the finding that 73/81 (90.2%) respondents rated their intention to make lifestyle changes as “very strong”, “somewhat strong”, or “considering it’. Of course, intentions do not always translate into actions and it is well recognized that raising awareness and motivation are only part of the process of behavior change. Only 43/81 (53.1%) respondents rated their intention to visit their doctor as “very strong”, “somewhat strong”, or “considering it’. This may suggest that people do not see medical support in this area as important. The older age group making up the majority of respondents may already be having the recommended regular checks of cardiovascular risk factors, and therefore do not see the necessity to visit to the doctor another time.
Among those who felt they needed to change, the highest rating for intention to change was for smoking, followed by physical activity. There are many public messages about the dangers of smoking. Perhaps the association with increased dementia risk could help motivate smokers to try to quit. Physical activity is an issue many people think about given its prominence in public health messages and the media. More people specified increasing physical activity as a change they intended to make than any other factor.
The personal relevance and applicability of Web-based health information has previously been shown to be important to users [35,36]. On average, respondents rated whether the practical advice and resources provided for specific risk or protective factors were relevant and useful to them between “somewhat useful” and “very useful” for most factors, suggesting they did see the information as applicable to them as individuals. Mental activity was rated highest, suggesting users saw the tips for being more mentally active as particularly relevant to them. Smoking was rated lowest, likely due to few respondents being smokers. Respondents also on average rated the information provided in sections of the website to be helpful to them.
Potential additional resources that might help people to adopt the healthy behaviors recommended on the MYM website were suggested, and respondents were asked to rate how helpful these would be to them. The high ratings given suggested that respondents’ motivation to address their health related to dementia risk was high, and that in general people were looking for practical resources to assist them. Personalized assessments of their risk factors, tailored advice to address risk factors, and assessment results to take to their doctor were rated highest. Previous studies have similarly found that health website users would like to see more interactivity and more specific practical information that tells them exactly what they need to do, making it easy for them to adopt healthier behaviors .
Survey respondents were predominantly female and well-educated, consistent with findings that these demographic characteristics were associated with more frequent health-related Internet use [25,27,37,38]. Respondents were also predominantly older, with 86/122 (70.5%) aged over 50 and 55/122 (45.1%) aged over 60. This was likely related to community survey findings which suggested that more people over age 50 worry about developing dementia , and to the most selected reasons for interest in the MYM website being related to concerns about dementia. Nevertheless, this self-selected sample limits the generalizability of the findings to other sectors of the community, younger people and males in particular. Perhaps future research and development of Web-based health resources could address promotion strategies aimed specifically at men [27,39].
Respondents rated their current healthy behavior related to the risk or protective factors on average as doing “pretty well”, suggesting the people most likely to access the MYM website and respond to the survey felt that they were already leading a healthy life. This was consistent with previous findings and suggests that another important target group for future Web-based health interventions is those with weak health motivation [27,39]. While people who are more committed to a healthy lifestyle are more likely to seek and use Web-based health information, it is important to reach those who could benefit the most from these Internet interventions, that is, those who engage in unhealthy risk behaviors. However, as people will pursue information sources in relation to their own interests and needs, this is not straightforward.
Limitations and Future Studies
Generalizability of the findings from the current study to the general community was limited by the use of a self-selected sample, and a lack of data on visitors to the website who did not complete the survey. Because an opt-in survey was used, it was not possible to calculate a response rate for the survey or to determine any demographic differences between survey respondents and visitors who did not participate in the survey. While the resulting sample size was modest, the study was able to detect significant positive effects of visiting the MYM website.
A further limitation of the current study was that knowledge about risk or protective factors for dementia and the importance ascribed to them were not assessed before participants viewed the website. Their subjective report of prior knowledge and importance were assessed with the survey after they had read the website. The study was also unable to measure whether participants actually made lifestyle changes. Nevertheless, respondents’ felt their knowledge had increased, as had the importance they ascribed to monitoring their health-related behavior.
Further longitudinal studies are required to better assess knowledge prior to exposure to the MYM information, and any lifestyle modifications after exposure. Future research should also examine whether the beneficial effects of providing dementia risk reduction information can be enhanced by also providing interactive and personalized Web-based features. Enhancements to the MYM website are in development which will include the ability for users to assess their dementia risk and be provided with tailored advice and resources. Research is also underway to evaluate whether such an interactive program results in better health outcomes for users than an information website alone. This ongoing research program aims to inform future developments of dementia prevention initiatives for Australia .
This study has demonstrated that a dementia risk reduction website successfully increased users’ knowledge and the importance they attributed to monitoring their health behavior. Positive ratings of the website content suggest it was relevant to users and presented in a manner they easily understood. Users felt well-equipped to improve their behavior and found the practical tips provided useful. They also felt that suggested additional resources would be helpful, such as interactive and personalized resources on the website to further engage people to enable behavior change. These findings will inform future developments of the MYM program and website.
This research was funded by the Australian Dementia Collaborative Research Centres. Kaarin Anstey, Henry Brodaty, and Michael Woodward provided helpful advice on the website content. The Alzheimer’s Australia Consumer Dementia Research Network provided helpful comment on the survey design.
Conflicts of Interest
The author is an employee of Alzheimer’s Australia, the trademark and copyright owner of Mind your Mind and the Mind your Mind website.
- Deloitte Access Economics. Canberra: Alzheimer's Australia; 2011. Dementia across Australia: 2011-2050 URL: http://www.fightdementia.org.au/common/files/NAT/20111014_Nat_Access_DemAcrossAust.pdf [accessed 2012-07-15] [WebCite Cache]
- Barnes DE, Yaffe K. The projected effect of risk factor reduction on Alzheimer's disease prevalence. Lancet Neurol 2011 Sep;10(9):819-828. [CrossRef] [Medline]
- Burke D, Hickie I, Breakspear M, Götz J. Possibilities for the prevention and treatment of cognitive impairment and dementia. Br J Psychiatry 2007 May;190:371-372 [FREE Full text] [CrossRef] [Medline]
- Centers for Disease Control and Prevention and the Alzheimer's Association. Chicago, IL: Alzheimer's Association; 2007. The healthy brain initiative: a national public health road map to maintaining cognitive health URL: http://www.cdc.gov/aging/pdf/TheHealthyBrainInitiative.pdf [accessed 2012-07-15] [WebCite Cache]
- Rabins PV. Do we know enough to begin prevention interventions for dementia? Alzheimers Dement 2007 Apr;3(2 Suppl):S86-S88. [CrossRef] [Medline]
- Ritchie K, Carrière I, Ritchie CW, Berr C, Artero S, Ancelin ML. Designing prevention programmes to reduce incidence of dementia: prospective cohort study of modifiable risk factors. BMJ 2010;341:c3885 [FREE Full text] [Medline]
- Hughes TF, Ganguli M. Modifiable midlife risk factors for late-life cognitive impairment and dementia. Curr Psychiatry Rev 2009 May 1;5(2):73-92 [FREE Full text] [Medline]
- Middleton LE, Yaffe K. Promising strategies for the prevention of dementia. Arch Neurol 2009 Oct;66(10):1210-1215 [FREE Full text] [CrossRef] [Medline]
- Farrow M, O'Connor E. Targeting brain, body and heart for cognitive health and dementia prevention: Current evidence and future directions. Alzheimer's Australia Paper 29. Canberra: Alzheimer's Australia; 2012 Sep. URL: http://www.fightdementia.org.au/common/files/YBM_evidence_paper_29_lores.pdf [accessed 2013-03-05] [WebCite Cache]
- Kennelly SP, Lawlor BA, Kenny RA. Blood pressure and dementia - a comprehensive review. Ther Adv Neurol Disord 2009 Jul;2(4):241-260 [FREE Full text] [CrossRef] [Medline]
- Anstey KJ, Lipnicki DM, Low LF. Cholesterol as a risk factor for dementia and cognitive decline: a systematic review of prospective studies with meta-analysis. Am J Geriatr Psychiatry 2008 May;16(5):343-354. [CrossRef] [Medline]
- Lu FP, Lin KP, Kuo HK. Diabetes and the risk of multi-system aging phenotypes: a systematic review and meta-analysis. PLoS One 2009;4(1):e4144 [FREE Full text] [CrossRef] [Medline]
- Anstey KJ, Cherbuin N, Budge M, Young J. Body mass index in midlife and late-life as a risk factor for dementia: a meta-analysis of prospective studies. Obes Rev 2011 May;12(5):e426-e437. [CrossRef] [Medline]
- Solfrizzi V, Panza F, Frisardi V, Seripa D, Logroscino G, Imbimbo BP, et al. Diet and Alzheimer's disease risk factors or prevention: the current evidence. Expert Rev Neurother 2011 May;11(5):677-708. [CrossRef] [Medline]
- Fleminger S, Oliver DL, Lovestone S, Rabe-Hesketh S, Giora A. Head injury as a risk factor for Alzheimer's disease: the evidence 10 years on; a partial replication. J Neurol Neurosurg Psychiatry 2003 Jul;74(7):857-862 [FREE Full text] [Medline]
- Anstey KJ, von Sanden C, Salim A, O'Kearney R. Smoking as a risk factor for dementia and cognitive decline: a meta-analysis of prospective studies. Am J Epidemiol 2007 Aug 15;166(4):367-378 [FREE Full text] [CrossRef] [Medline]
- Hamer M, Chida Y. Physical activity and risk of neurodegenerative disease: a systematic review of prospective evidence. Psychol Med 2009 Jan;39(1):3-11. [CrossRef] [Medline]
- Valenzuela MJ, Sachdev P. Brain reserve and dementia: a systematic review. Psychol Med 2006 Apr;36(4):441-454. [CrossRef] [Medline]
- Karp A, Paillard-Borg S, Wang HX, Silverstein M, Winblad B, Fratiglioni L. Mental, physical and social components in leisure activities equally contribute to decrease dementia risk. Dement Geriatr Cogn Disord 2006;21(2):65-73. [CrossRef] [Medline]
- Nepal B, Brown L, Ranmuthugala G. Modelling the impact of modifying lifestyle risk factors on dementia prevalence in Australian population aged 45 years and over, 2006-2051. Australas J Ageing 2010 Sep;29(3):111-116. [CrossRef] [Medline]
- Farrow M. Dementia risk reduction: what do Australians know?. Canberra: Alzheimer's Australia; 2008 Sep. URL: http://www.yourbrainmatters.org.au/sites/default/files/Dementia%20Risk%20Reduction-What%20do%20Australians%20know.pdf [accessed 2013-04-09] [WebCite Cache]
- Internet World Stats. 2012. URL: http://www.internetworldstats.com/stats6.htm [accessed 2012-07-15] [WebCite Cache]
- Anderson-Bill ES, Winett RA, Wojcik JR, Winett SG. Web-based guide to health: relationship of theoretical variables to change in physical activity, nutrition and weight at 16-months. J Med Internet Res 2011;13(1):e27 [FREE Full text] [CrossRef] [Medline]
- Korp P. Health on the Internet: implications for health promotion. Health Educ Res 2006 Feb;21(1):78-86 [FREE Full text] [CrossRef] [Medline]
- Powell J, Inglis N, Ronnie J, Large S. The characteristics and motivations of online health information seekers: cross-sectional survey and qualitative interview study. J Med Internet Res 2011;13(1):e20 [FREE Full text] [CrossRef] [Medline]
- Papadaki A, Scott JA. Process evaluation of an innovative healthy eating website promoting the Mediterranean diet. Health Educ Res 2006 Apr;21(2):206-218 [FREE Full text] [CrossRef] [Medline]
- Van 't Riet J, Crutzen R, De Vries H. Investigating predictors of visiting, using, and revisiting an online health-communication program: a longitudinal study. J Med Internet Res 2010;12(3):e37 [FREE Full text] [CrossRef] [Medline]
- Maon S, Edirippulige S, Ware R, Batch J. The use of Web-based interventions to prevent excessive weight gain. J Telemed Telecare 2012 Jan;18(1):37-41. [CrossRef] [Medline]
- Wantland DJ, Portillo CJ, Holzemer WL, Slaughter R, McGhee EM. The effectiveness of Web-based vs. non-Web-based interventions: a meta-analysis of behavioral change outcomes. J Med Internet Res 2004 Nov 10;6(4):e40 [FREE Full text] [CrossRef] [Medline]
- Alzheimer's Australia. Mind your Mind. 2010. URL: http://www.mindyourmind.org.au/ [accessed 2012-07-15] [WebCite Cache]
- SurveyMonkey. 2011. URL: http://www.surveymonkey.com/ [accessed 2012-07-15] [WebCite Cache]
- Australian Bureau of Statistics and Statistics New Zealand. First edition, revision 1. 2009. Australian and New Zealand standard classification of occupations URL: http://www.abs.gov.au/ausstats/abs@.nsf/mf/1220.0 [accessed 2013-03-05] [WebCite Cache]
- Alzheimer's Australia and Pfizer Australia. Pfizer Health Report, Issue 45. Sydney: Pfizer Australia; 2011. Dementia is everybody's business URL: http://www.fightdementia.org.au/common/files/NAT/20110314_Nat_report_Pfizer-Health-Report-2011.pdf [accessed 2012-07-15] [WebCite Cache]
- Ferney SL, Marshall AL. Website physical activity interventions: preferences of potential users. Health Educ Res 2006 Aug;21(4):560-566 [FREE Full text] [CrossRef] [Medline]
- Glenton C, Nilsen ES, Carlsen B. Lay perceptions of evidence-based information-a qualitative evaluation of a website for back pain sufferers. BMC Health Serv Res 2006;6:34 [FREE Full text] [CrossRef] [Medline]
- Williams P, Nicholas D, Huntington P, McLean F. Surfing for health: user evaluation of a health information website. Part one: Background and literature review. Health Info Libr J 2002 Jun;19(2):98-108. [Medline]
- Atkinson NL, Saperstein SL, Pleis J. Using the internet for health-related activities: findings from a national probability sample. J Med Internet Res 2009;11(1):e4 [FREE Full text] [CrossRef] [Medline]
- Baker L, Wagner TH, Singer S, Bundorf MK. Use of the Internet and e-mail for health care information: results from a national survey. JAMA 2003 May 14;289(18):2400-2406. [CrossRef] [Medline]
- Brouwer W, Oenema A, Raat H, Crutzen R, de Nooijer J, de Vries NK, et al. Characteristics of visitors and revisitors to an Internet-delivered computer-tailored lifestyle intervention implemented for use by the general public. Health Educ Res 2010 Aug;25(4):585-595 [FREE Full text] [CrossRef] [Medline]
|MYM: Mind your Mind|
|Edited by G Eysenbach; submitted 30.09.12; peer-reviewed by A Jansen; comments to author 09.02.13; revised version received 05.03.13; accepted 11.03.13; published 18.04.13|
Please cite as:
User Perceptions of a Dementia Risk Reduction Website and Its Promotion of Behavior Change
JMIR Res Protoc 2013;2(1):e15
BibTeX, compatible with BibDesk, LaTeX
RIS, compatible with RefMan, Procite, Endnote, RefWorks
Refer, compatible with Endnote
Add this article to your Mendeley library
Add this article to your CiteULike library
Add this article to your Connotea library
Copyright©Maree Farrow. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 18.04.2013.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on http://www.researchprotocols.org, as well as this copyright and license information must be included.