Fear of dementia, also referred to as “dementia worry” [1] and “anticipatory dementia” [2], describes the fear that perceived changes in one’s memory are indicative of dementia [3]. Many older adults worry about developing dementia, with evidence suggesting that dementia has become the most feared health condition among people over the age of 50, ranking higher than cancer and heart disease [4]. The number of people living with dementia worldwide is expected to triple from approximately 50 million to 152 million by 2050. Given this projected increase, the incidence of fear of dementia is also certain to increase [5]. The anticipated growth in dementia cases, coupled with improved societal awareness of the disease and the knowledge that as of yet there is no cure for dementia, has contributed to increased dementia-related fear in older adults [1,6].

Fear of dementia has been associated with poor health outcomes, lower levels of psychological well-being, memory failures, and lower quality of life in older adults [3,7]. Emerging evidence suggests that dementia-related fears perpetuate harmful cognitive–behavioral cycles [3,8,9]; for example, individuals who worry about developing dementia might fixate on what they perceive to be symptoms of neurodegeneration, such as when they forget someone’s name. This excessive self-monitoring is fatiguing and can increase the frequency of cognitive failures, compounding the initial fear. In addition to self-monitoring, individuals can develop unnecessary and unproductive behavioral strategies to mitigate psychological distress and cognitive failures. These maladaptive strategies could include social withdrawal and avoidance of cognitive effort. In a recent study, Farina et al [3] showed that fear and avoidance of memory loss symptoms were associated with lower quality of life and greater self-reported memory failures in a community sample of older adults. Building on this, we posit that psychological distress and everyday cognitive failures may trigger maladaptive behavioral responses that undermine motivation and engagement in healthy activities, which could, in turn, accelerate cognitive decline.

Although many studies have investigated factors associated with dementia-related fear, only few have investigated ways to mitigate this fear. Interventions that disrupt the fear cycle have potential to reduce distress, while also accruing long-term benefits such as preventing the onset of cognitive decline [10]. One promising avenue is mindfulness-based training, which has been shown to improve health and well-being outcomes in other health-related difficulties, such as chronic pain and fatigue [11,12]. These outcomes may be driven by improvements in individuals’ ability to acknowledge negative thoughts and feelings without fixating on them [13-15]. To our knowledge, no studies have investigated the efficacy of mindfulness-based interventions for dementia-related fear. Another promising avenue for tackling dementia-related fear is approach-oriented exercises, in which people practice behaviors that allow them to exercise their cognitive abilities even in the face of emotional distress. Although approach-oriented activities (eg, behavioral activation, exposure therapy) are widespread in behavior therapy, specific techniques for dementia-related fear warrant further exploration [16,17]. Further, a person with a clinically elevated level of dementia-related fear might be referred to clinical care (eg, working with a psychologist or social worker), but scalable interventions for subclinical fears are also needed.

This study will leverage web-based technology to deliver and compare 2 low-intensity, self-guided approaches to help older people manage dementia-related fears in daily life: (1) mindfulness and meditation exercises, and (2) mindfulness and meditation exercises combined with behavioral therapy exercises to facilitate approach, rather than avoidance. This research will contribute to existing knowledge of dementia-related fear and improve our understanding of how to effectively address and reduce these fears.

The purpose of this study is to compare web-based programs to reduce fear of memory loss and increase quality of life in older adults experiencing dementia-related fear. This program (REFRAME) will focus on 3 components across 3 weeks. These include psychoeducation (Week 1), mindfulness-based exercises to identify and monitor dementia-related fears (Week 2), and behavioral activation to overcome unnecessary and maladaptive avoidance behaviors (Week 3). Further, we propose that maladaptive avoidance behaviors are a critical factor in maintaining dementia-related anxiety. Therefore, REFRAME will be tested against an active comparison group receiving psychoeducation and mindfulness only. The overarching goals of the project are to (1) determine the impact of REFRAME on dementia-related fear and maladaptive avoidance, (2) determine the feasibility of the low-cost web-based intervention program, and (3) investigate broad health-related secondary outcomes in older adults.

Inclusion and exclusion criteria for the study as presented in Textbox 1.

Eighty participants will be recruited (40 in each group). Power was estimated using a mixed ANOVA framework to detect a between-within interaction in G*Power with the following assumptions: medium effect size (f)=0.25, Type I error rate=0.05, sample size=80, groups=2, repeated measures=6 (Table 1), correlation among repeated measures=0.5, and nonsphericity correction epsilon=1.0 (ie, no correction) [18]. These assumptions yielded high power (99%). We anticipate losing some participants to follow-up and investigated a nonsphericity epsilon of 0.5; power remained at 92% even with the more conservative epsilon and with n=40. Although these power estimates are high, a goal of this study is to determine the effect sizes (within-subjects and across groups) for future randomized controlled trials.

Participants will be recruited through community-based outreach methods, digital and print advertising (eg, flyers, postcards, email outreach, web postings, advertisements on transit lines, newspaper advertisements, radio advertisements), and official registries (eg, Research Match). One of the study PIs (JG) also has a list of participants from previous research studies that have agreed to be contacted for future projects. If a participant is interested, he/she can complete an online screening survey in REDCap to assess initial eligibility before a longer screening phone call. Potential participants can express their interest to take part by means of direct contact with the researchers via phone or email, after which they would be invited to complete the screening and consent process.

Because the study will be conducted remotely, we will obtain e-consent from participants via REDCap. Participants will be able to access the consent form as soon as they enter the study and they will only be redirected to the main study if they give their consent. Participants can review the consent form, sign their name, and provide other basic demographic information required if they agree to take part. They will also receive a read-only copy of the consent form, which they can review, download, or print. Participants will be explicitly informed that signing the electronic copy is equivalent to signing a physical document.

The study design is a randomized controlled trial with a between-groups experimental comparison of 2 groups: REFRAME versus psychoeducation plus mindfulness only. The REFRAME program group will participate in psychoeducation, mindfulness, and behavioral activation activities. The comparison group will participate in psychoeducation and mindfulness, but not in behavioral activation activities. Thus, the study will allow us to determine the impact of psychoeducation and mindfulness (within-subjects in the comparison group) on fear reduction, in addition to approach-oriented exercises. The study will consist of 6 time points (2 baselines, 2 midtreatment, after treatment, and follow-up). At each time point, participants will complete outcome questionnaires.

Participants will be asked to complete questionnaires 2 weeks before commencing the intervention, at baseline, during the intervention (before Week 2 and Week 3), 1-week after the intervention, and at 4-week follow-up. All assessments will be completed using the REDCap platform with follow-up assessments carried out online via an email link [19]. The primary outcome measure will be the 23-item Fear and Avoidance of Memory Loss (FAM-23) Scale [3], which will assess fear and avoidance of memory loss. This will be administered 2 weeks before commencing the intervention. The Montreal Cognitive Assessment for blind individuals (MoCA BLIND) will also be administered at this time point to screen for cognitive impairment. Secondary outcome measures include the Fear of Alzheimer’s Disease Scale (FADS [20]); World Health Organization-Five Well-Being Index (WHO-5); NIH Patient-Reported Outcomes Measurement Information System, 29-item (PROMIS-29 version 2.0); and Memory Failure Scale (MFS [21]). These assessments will be completed at baseline, after the intervention, and at follow-up. Depression will be measured using the 15-item Geriatric Depression Scale (GDS-15 [22]) 2 weeks after the intervention and at 1-week follow-up. Participants will also complete the 5-item Coronavirus Anxiety Scale (CAS [23]) at baseline, 1-week after the intervention, and at 4-week follow-up. Finally, participants will complete the 1-item Patient Global Impression of Change (PGIC) and brief qualitative interviews at 4-week follow-up. Upon completion of the study, participants will receive a 1-page handout written in lay terms explaining ways to promote brain health, with information for mental health services provided if needed.

The intervention will be delivered over 3 weeks for both groups. The REFRAME group will receive a modular intervention, which is divided into psychoeducation, mindfulness, and behavioral activation. In the first week, participants will learn about concepts such as memory lapses, dementia, fear of memory loss, and causes of fear of memory loss through psychoeducation. Week 1 psychoeducation is divided into 4 modules and participants will be able to complete the modules by listening to the audio clips and completing short online workbook exercises. Week 2 is focused on mindfulness. Participants will learn introductory concepts about mindfulness, meditations (eg, the body scan), noticing thoughts, and grounding through audio and text-based exercises. The final week is focused on delivering behavioral techniques for overcoming avoidance; this involves exercises to increase awareness about avoidance and safety behaviors and identifying ways to challenge them. The comparison group will receive the same intervention during Weeks 1 and 2. For Week 3, they will receive a second week of mindfulness training, which includes additional novel exercises. Audio clips are provided in Multimedia Appendices 1-15.

Fidelity of the intervention will be checked by reviewing online activities. This will provide a proxy of intervention completion. Finally, postintervention interviews will be used to debrief participants about the intervention.

The intervention was developed by postgraduate students enrolled in an Applied Psychology Master’s Program (PO’L, PP, and JR) under the direct supervision of experienced clinicians (JG, a psychologist, and RS, a geriatrician and behavioral neurologist) and senior researchers in clinical psychology with expertise in mindfulness (MB) and older adult brain health (FF).

We will specify a mixed model with a random intercept for each person, as well as fixed effects for treatment (1=REFRAME, 0=otherwise) and 5 dummy codes for the 6 time points. The mixed model will only include treatment–time interactions for the 4 time points after the baseline (for the 2 baselines, treatment should have no effect because the intervention has not yet begun). The primary effects of interest will be the interaction terms for post-treatment and follow-up, tested at α=.05. We will also compare the FAM-23 Scale with baseline using within-subjects t tests for all midtreatment, post-treatment, and follow-up time points.

The secondary analysis will evaluate if fear of Alzheimer disease, well-being, general anxiety, and memory failures are affected by either intervention. As such, mixed models, similar to above, will be used to analyze scores on the FADS, WHO-5, PROMIS-29, and MFS across time in both groups. In particular, the construct of fear of Alzheimer disease will be examined and compared with the construct of fear of memory loss. The relationship between scores on the FAM-23 Scale and the FADS will be examined through use of a Pearson correlation.

Further information on the data analysis plan is available on the ClinicalTrials registry (Trial Registration Number NCT04821960).

Upon completion of the study, we will use an open-ended REDCap survey to explore participants’ experiences. We will measure their experience of using the intervention materials, what they found most beneficial, if they plan on continuing to use the skills they have learned, and if they have any recommendations for how we can improve the intervention.

As per STROBE (Strengthening the Reporting of Observational studies in Epidemiology) guidelines, the total number of participants who take part in each stage of the study will be recorded [24]. Should a participant not take part in a certain wave, reasons will be reported for the absence, if available. Reasons for missing data will be discussed in terms of the intervention group that they were assigned to and the timepoint at which participation ceased. Furthermore, there may be important differences between participants who completed the intervention and those who dropped out. This will be investigated and reported along with the results.

The model does not require complete or imputed data to be estimated. Thus, we anticipate doing an intent-to-treat analysis in which all participants are included in the analysis.

The primary study limitation is the self-guided nature of the intervention. The intervention will be delivered through an online platform comprising weekly audio clips and written passages. This method of delivery could inflate the risk of attrition, as the researchers will not be present while participants engage with the materials. Remote delivery also makes it more difficult to determine if participants comprehended the materials as intended. To mitigate these potential effects, we will measure participants’ engagement with the weekly exercises and questionnaires throughout the study. We will also explicitly ask about accessibility of the materials in the debriefing interviews. A psychologist and geriatrician from the study team will also be available to troubleshoot any issues as they arise. A second limitation is recruitment of the small sample size from a single metropolitan area. Although the sample may limit generalization, the data collected here will help to guide future interventions with larger, more diverse cohorts.

Fear of dementia is associated with a range of negative outcomes including poorer physical health, reduced well-being, and increased perceived memory failures. As such, it is vital that we establish evidence-based interventions to mitigate this fear. Similar to other health anxieties, excessive fear and avoidance of dementia are malleable psychological processes that can be reduced through low-cost interventions. By identifying and effectively treating maladaptive fear early, we may be able to reduce dementia risk, or prevent cases, in later life by fostering healthy lifestyle behaviors (eg, continued cognitive and social engagement). Reducing fear may also encourage people who may be experiencing changes with their memory to seek support from their doctor earlier, which could lead to improved assessment and treatment options.

Future scope of the research will include administering the intervention to a larger, more representative group. In line with the recent push toward early interventions, this research could also be expanded to include midlife (ie, 45+ years). Finally, future work should also aim to identify specific groups who are at a higher risk of experiencing maladaptive fear and avoidance behaviors and design tailored interventions for them; for example, people who are (or have been) a care partner for someone with dementia, or those with a family history of the disease.