Abstract
Introduction
Subjectively experienced cognitive decline in older adults is an indicator of increased risk for dementia and is also associated with increased levels of anxiety symptoms. As anxiety is itself emerging as a risk factor for cognitive decline and dementia, the primary question of the present study is whether an 8-week mindfulness-based intervention can significantly reduce anxiety symptoms in patients with subjective cognitive decline (SCD). The secondary questions pertain to whether such changes extend to other domains of psychological, social, and biological functioning (including cognition, self-regulation, lifestyle, well-being and quality of life, sleep, and selected blood-based biomarkers) associated with mental health, older age, and risk for dementia.
Methods
SCD-Well is a multicenter, observer-blinded, randomized, controlled, superiority trial, which is part of the Horizon 2020 European Union-funded “Medit-Ageing” project. SCD-Well compares an 8-week mindfulness- and compassion-based intervention specifically adapted for older adults with SCD with a validated 8-week health education program. Participants were recruited from memory clinics in four European sites (Cologne, Germany; London, United Kingdom; Barcelona, Spain; and Lyon, France) and randomized with a 1:1 allocation, stratified by site.
Results
The primary outcome, change in anxiety symptoms, and secondary outcomes reflecting psychological, cognitive, social, and biological functioning are assessed at baseline, postintervention, and 4 months after the end of the intervention.
Discussion
The study will provide evidence on whether a mindfulness-based intervention can effect changes in anxiety and other risk factors for cognitive decline and dementia in older adults with SCD and will inform the establishment of intervention strategies targeted at improving mental health in older adults.
Keywords: Dementia, Meditation, Subjective cognitive decline, Alzheimer's disease, Anxiety, Cognition, Emotion, Mindfulness, Compassion, Psychoeducation, Medit-Ageing, Silver Santé Study
Highlights
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Mindfulness may benefit older adults with subjective cognitive decline (SCD).
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SCD-Well compares an 8-week mindfulness intervention to a health education course.
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Patients with SCD were recruited from memory clinics in four countries.
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Outcomes include anxiety symptoms, psychosocial, cognitive, and biological function.
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Results will inform future prevention studies and strategies in SCD.
1. Introduction
1.1. Background
Owing to aging populations, incidence of dementia is estimated to triple by 2050, representing the greatest challenge for health care in the 21st century [1]. In addition to affecting the individual living with dementia, there are considerable consequences for wider society given the associated emotional, health, and social care costs. Effective approaches to treating the underlying illnesses that cause dementia are still largely absent, thus emphasizing the need for prevention.
Most neuropathological processes start years before the onset of dementia [2], [3]; hence, there is a growing need to target modifiable risk factors in individuals in the earliest stages for intervention when neurodegeneration is still limited [4]. In support of advancing preventative strategies, research shows that approximately a third of dementia cases worldwide might be attributable to potentially modifiable risk factors [5]. Indeed, the risk of dementia increases when adverse factors, including anxiety, depression, stress, and sleep disturbances, are present. Sleep disorders are known to promote dementia-related pathological processes [6], and in older adults, each depressive symptom increases dementia risk by approximately 20% [7]. Importantly, longitudinal studies show that anxiety increases the rate of cognitive decline in individuals at risk of dementia [8], and a recent meta-analysis implicated late-life levels of anxiety symptoms as a predictor of dementia [9]. Increasing evidence supports that subjectively experienced cognitive decline, even when performance on cognitive tests is in the normal range, is also associated with an increased risk for future cognitive decline and dementia [10], [11]. A high level of anxiety is a characteristic feature of patients living with subjective cognitive decline (SCD) [12], which may further exacerbate risk for dementia and reduced well-being.
1.2. Mindfulness-based intervention
Although mindfulness-based research in older adults is still in its infancy, there is considerable evidence that these interventions can reduce anxiety in a number of populations, including preliminary studies in older adults [13], [14]. Mindfulness-based interventions (MBIs), derived from the generic mindfulness-based stress reduction program developed by Dr. Jon Kabat-Zinn [15], combine intensive training in mindfulness meditation with psychoeducational components and provide individuals with sustainable skills that remain at their disposal beyond the intervention period. MBIs use a secular form of meditation training that emphasizes focused, nonjudgmental awareness of present moment experiences. Participants typically meet for weekly group-based sessions for 8 weeks and engage in home practices between sessions.
In addition to reducing anxiety, promising evidence also shows that MBIs improve cognitive function in areas most sensitive to aging and dementia (such as attention and memory) [16], [17]. Further research shows that these interventions can reduce stress, depression, insomnia, feelings of loneliness, and social exclusion [14], [18], [19], as well as cardiovascular risk factors [20]—all of which are associated with increased risk for dementia [21], [22]. Indeed, recent evidence suggests that an MBI altered levels of a blood-based biological marker associated with both stress and dementia in at-risk older adults [23]. Importantly, mindfulness-based training is a scalable, community-based, and low-cost intervention that is broadly available.
1.3. Choice of comparator
Many of the previous studies of MBIs have suffered from a lack of an adequate comparison condition and lack of follow-up to know whether initial benefits are maintained. As MBIs contain a number of nonspecific elements, such as social interaction, light exercise, or the provision of treatment expectancies, the use of active control or comparison interventions is important. Based on the assumption that training in mindfulness is the crucial active component of the intervention and to control for effects due to other aspects of the program, we selected a health education program as the comparison condition. The health education program is structurally equivalent to the mindfulness-based training in overall course length, class time and home activities, and matched to the training in administration, dosage, and duration. It is a facilitator-led, group-based program, based on a published book [24], and developed and validated in an SCD population by colleagues in the United States [25]. The program was designed to equalize treatment expectancy across conditions, parallel psychoeducational components, and to control for the nonspecific effects of increased social interaction and light physical activity. Moreover, the health education program may have a positive impact on well-being in the SCD population by fostering self-efficacy. Participants with SCD and comorbid clinical anxiety and/or depression in the trial by Wetherell et al. believed this program was a credible intervention and showed nonsignificant improvements in memory, as expected in a comparison condition [25]. However, participants in this condition did not show significant improvement in anxiety symptoms compared with those in the mindfulness-based condition [26].
1.4. Trial objectives and purpose
The SCD-Well trial is part of the “Medit-Ageing” project (public name: Silver Santé Study; www.silversantestudy.eu) funded through the European Union as part of the Horizon 2020 program. SCD-Well will use an MBI that is specifically tailored to the needs of older adults building on modifications suggested by Zellner Keller et al. [27] together with a particular focus on compassion and loving kindness practices. This upgrade takes into account emerging clinical evidence showing a complementary and beneficial role of this style of meditation on anxiety and depression [27], [28], [29], [30].
The primary objective of the trial is to test whether an 8-week MBI is superior to an 8-week health education program on reducing anxiety in older adults with SCD in a multicenter randomized controlled trial. We will further examine whether any changes in anxiety symptoms are maintained 4 months after the end of the intervention, and whether the intervention affects a series of outcomes including mental health and cognitive functions, social relations, and biological markers.
2. Methods/design
2.1. Trial design and setting
SCD-Well is a European multicenter, observer-blind, randomized, controlled, superiority trial with two parallel groups: an MBI or a validated health-educational program. The trial includes 8 weeks of intervention and 16 weeks of follow-up (total of 24 weeks) and is designed to compare outcomes from the two intervention groups. The intervention takes place in group settings at four sites, and randomization is performed with a 1:1 allocation, stratified by study site. The study schedule is summarized in Table 1, and detailed descriptions of participant visits are provided in Supplementary Material 1. Briefly, participants are recruited from medical facilities, prescreened, and then invited to a screening visit (V0) where the diagnostic battery is performed (Table 2) and eligibility is assessed. Participants fulfilling eligibility criteria (Table 3) are invited to the baseline visit (V1) and then randomized to one of the two intervention groups. Allocation and assignment of interventions are described in Supplementary Material 1. A postintervention visit (V2) is conducted after the end of the intervention, and a follow-up visit (V3) is held 4 months after the end of the intervention. The primary outcome is change in symptoms of anxiety from V1 to V2. For secondary outcomes, treatment effects are assessed as change from V1 to V2 or V3.
Table 1.
Study schedule
| Schedule of events | Screening |
Baseline assessment and randomization |
Intervention period (8 weeks) | Postintervention assessment |
4-month follow-up assessment |
|---|---|---|---|---|---|
| V0 | V1 | V2 | V3 | ||
| Enrollment | |||||
| Eligibility screen | X | X | |||
| Oral and written information | X | ||||
| Signed informed consent | X | ||||
| Randomization | X | ||||
| Assessments | |||||
| Baseline characteristics | X | ||||
| Primary outcome | |||||
| State-Trait Anxiety Inventory (STAI) | X | X | X | ||
| Secondary and exploratory outcomes (see Supplementary Table 1 for detailed measures) | |||||
| Medical background | X | X | X | ||
| Global cognition | X | X | X | ||
| Thinking and reasoning | X | ||||
| Attention/executive function | X | X | X | ||
| Memory | X | X | X | ||
| Language | X | X | X | ||
| Psychoaffective/emotion | X | X | X | ||
| Compassion, support, mindfulness | X | X | X | ||
| Sleep | X | X | X | ||
| Personality | X | ||||
| Lifestyle | X | X | X | ||
| Quality of life and well-being | X | X | X | ||
| Biological measures | X | X | X | ||
| Partner questionnaires | X | X | X | ||
| Intervention | |||||
| Mindfulness-based intervention | |||||
| Health education program | |||||
| Completion of workbook/questionnaires to monitor intervention adherence and response | |||||
X indicates that the event occurred during that time in the study schedule. The symbol in question indicates that the intervention period was ongoing for 8 weeks.
Table 2.
Diagnostic battery
| Domains evaluated | Tests |
|---|---|
| Global cognitive functioning | Cognitive assessment according to site-specific memory clinical standards to diagnose SCD (if needed) |
| MMSE [31] | |
| Depression and anxiety | Standardized questions to assess generalized anxiety and major depression (DSM-5 [32]/ICD-10 checklist [33][p10]) |
| SCD criteria | Meets research criteria for SCD [11] |
| Memory concern | Expressed concern about memory (either by visiting a memory clinic or assessed via a question at screening) |
Abbreviations: DSM-5, Diagnostic and Statistical Manual of Mental Disorders, fifth edition; ICD-10, International Statistical Classification of Diseases and Related Health Problems, 10th revision; MMSE, Mini–Mental State Examination; SCD, subjective cognitive decline.
Table 3.
Eligibility criteria
| Inclusion criteria | Exclusion criteria |
|---|---|
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Participants are recruited from medical facilities (e.g., memory clinics) at the four centers where the trial assessments and delivery of the interventions take place (London, UK; Cologne, Germany; Lyon, France; Barcelona, Spain). More detail about the sites is provided in Supplementary Material 1. Participants are patients who are either referred to a memory clinic by a physician or who are self-referrals.
2.2. Data collection
Validated behavioral measures chosen for their sensitivity to aging and early dementia and/or meditation were selected for the trial (see Supplementary Table 1 for details). Briefly, behavioral measures include neuropsychological tests that assess different cognitive functions (e.g., episodic memory, attention, executive function) and questionnaires that include assessments of personality traits; sleep quality; lifetime and current engagement in cognitive, social, and physical activities; Mediterranean diet adherence; health-related behaviors such as self-medication, smoking and alcohol consumption; quality of life and well-being; and mental health indicators such as anxiety and depression and loneliness. Some questionnaires are also given to a participant's close relative or friend (subsequently referred to as the “partner”). Behavioral measures and blood sampling are conducted at V1, V2, and/or V3. Details regarding the collection of blood specimens can be found in Supplementary Material 2.
To standardize the administration and scoring of neuropsychological tests and questionnaires, psychometrists from all sites completed a standardized administration and scoring training that was developed specifically for the study.
2.3. Interventions
The MBI uses meditation and yoga practices adapted for older adults [27] and, in line with the standard format of mindfulness-based stress reduction, consists of a pre-class meeting with the facilitator in which the participants are socialized to the treatment, eight weekly group-based sessions of 2 to 2½ hours duration, a half-day of meditation practice after the sixth session of the program (9 sessions in total), and home practices. The intervention combines intensive training in mindfulness and compassion meditation and gentle yoga practices with psychoeducational components targeted at helping individuals to deal more effectively with emotional difficulties and stressors commonly encountered in older age, particularly stressors related to concerns about cognitive functioning and health. The program has a particular emphasis on cultivating wholesome attitudes toward oneself and others. Meditation and yoga practices focus on strengthening attentional capacities and bodily awareness during the first half of the program. Practices in the second half of the program build on these skills to establish more effective ways of responding to difficult experiences. Participants are asked to engage in home practice for approximately an hour per day, 6 days per week. Home practice consists of formal meditation practices guided by meditation recordings and informal practices aimed at helping participants to generalize mindfulness skills to their daily life. Participants receive a workbook that explains the home practices and that is used to record adherence to them.
The health education control intervention follows the same format and structure as the MBI and is matched to the MBI in administration, dosage, and duration. More specifically, it consists of a pre-class meeting with the facilitator, eight weekly group-based sessions of 2 to 2½ hours duration, a half-day of practice after the sixth session of the program (9 sessions in total), and home practices. The treatment is based on a published manual [24], with every session of the program covering different subjects, including self-management; problem-solving; sleep; stress; exercise; managing medicines and memory; communicating with family, friends, and health care professionals; eating; weight management; and planning for the future. Participants are provided with information about these subjects and engage in group exercises and discussions about them. They are given a workbook and asked to actively engage in activities described in the workbook to improve health and well-being on 6 days each week, matching home assignments in the MBI. The workbook summarizes the most important points of each session, and participants are asked to record engagement in health-related activities on protocol sheets in the workbook.
Each site has two facilitators, each with a psychology/psychotherapy degree and/or significant experience in leading group-based therapies. One facilitator, who has undergone formal training to match criteria of the good practice guidelines of the UK network of mindfulness-based teacher trainers, delivers the MBI. The other facilitator who has at least 3 years' experience leading group-based clinical programs and/or psychoeducational interventions (e.g., a clinical psychologist or equivalent) leads the health education intervention. Both sets of facilitators received the intervention protocol, instruction, and a day-long training about their respective intervention before the start of the study to promote standardization of the intervention delivery across sites. To document manual adherence, facilitators of both interventions complete self-report checklists after each class. Facilitators are supervised in weekly individual sessions by the intervention leads. The two interventions are delivered to groups of approximately 10 participants and take place in a designated room at the memory clinic or investigator-affiliated facility.
After the first session of the intervention, participants of both intervention groups complete a questionnaire to record their expectations for the credibility and efficacy of their intervention [37]. They also report levels of depression over the past week at the beginning of each intervention session. Participants are also encouraged to record any important comments they might have about the practice to provide qualitative information. Adherence (i.e., class attendance) is collected by facilitators. Participants who choose to drop out of the intervention are invited to continue taking part in assessments.
2.4. Outcomes
Given its prevalence in SCD and relation to objective cognitive decline and dementia risk, the primary outcome is the mean change in anxiety from V1 to V2, in each group. Mean change in anxiety will be measured by the trait version of the State-Trait Anxiety Inventory (STAI) [38]. We had initially intended to use the state version of the STAI as a primary outcome but took the decision to use the trait version for two reasons—(1) the state version assesses transient anxiety symptoms that are more susceptible to situational variation and (2) intermediate reports indicated floor effects of baseline data for the state, but not the trait-STAI, potentially due to entry to treatment in the trial. Trait-STAI scores are more representative of a person's general level of anxiety and less dependent on situational factors, which may not be fully standardized across sites. Previous research has shown that increased trait anxiety is a characteristic of SCD samples [39]. The change in primary outcome measure from state-STAI to trait-STAI was approved by the Trial Steering Committee, before any statistical analyses. Although trait-STAI will be the primary outcome of this trial, the effects of the interventions on state-STAI will be assessed as a secondary outcome. Other secondary outcomes include
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mean change in anxiety (measured by the trait-STAI) from V1 to V3,
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mean change in behavioral measures (see Supplementary Table 1 for specific outcomes) observed (a) from V1 to V2 and (b) from V1 to V3,
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mean change in blood-based markers of stress and dementia risk observed (a) from V1 to V2 and (b) from V1 to V3,
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change in mean numbers of visits to general practitioners/medical doctors and the medication use during and after the intervention, and
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mean changes in measures of emotions/psychoaffective functioning, compassion, support, and mindfulness assessed by partners of participants.
Moderator analyses will establish whether factors including sex, personality characteristics, genetic phenotypes, general thinking and reasoning skills, and life experiences and diet affect the outcomes of the intervention. Study data will also be used for exploratory analyses unrelated to the intervention.
2.5. Statistical considerations
2.5.1. Sample size
As the STAI anxiety score has no absolute cutoff levels, sample size consideration is based on effect size (i.e., the ratio between the expected interarm differences to the common standard deviation). With a minimum effect size of 0.50 (indicated as a reasonable expectation from a meta-analysis summarizing the efficacy of meditative therapies for reducing anxiety) [13], 64 participants per arm need to be included to demonstrate a significant difference in the primary endpoint (mean difference in the change of the trait-STAI score in each trial arm between baseline and the end of the intervention) in a t-test with 80% power and a two-sided type I error of 5%. As the minimum relevant effect size was considered to be the same for the state- and trait-STAI, sample size remained unchanged after the change of the primary endpoint.
2.5.2. Statistical methods
The planned statistical analyses are described in a trial statistical analysis plan and summarized in Supplementary Material 1. Briefly, the primary outcome analyses will be conducted on an intent-to-treat principle, and missing primary endpoint data will be handled with a conservative a “missing = failure” strategy. Additional analyses conducted on both primary and secondary outcomes will include sensitivity analyses, undertreatment and per protocol analyses, and analyses of exposure/dose effects. For exploratory noncomparative analyses, complete case analyses or imputation methods will be considered on a case-by-case basis, depending on the amount of missing data and the specific research question.
2.6. Ethics, safety, and study monitoring
The SCD-Well trial was approved by the necessary ethics committees and regulatory agencies in London, UK (Queen Square Research Ethics Committee and Health Research Authority); Lyon, France (Comité de Protection des Personnes CPP Sud-Est II Groupement Hospitalier and Agence Nationale de Sécurité du Médicament et des Produits de Santé); Cologne, Germany (Ethikkommission der Medizinischen Fakultät der Universität zu Köln); and Barcelona, Spain (Comité Etico de Investigacion Clinica del Hospital Clinic de Barcelona), registered on ClinicalTrials.gov (Identifier: NCT03005652), and adheres to Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) guidelines for clinical trial protocols [40] (see Supplementary Material 1 for further details and Supplementary Table 2 for SPIRIT checklist).
The sponsor established a Trial Steering Committee according to Good Clinical Practice guidelines with the responsibility to provide oversight on the conduct of the trial, advise on scientific credibility on behalf of the sponsor and the funder, and assess the progress of the protocol. More details on data management, monitoring, dissemination and access, and study governance (blinding, safety, auditing) are contained in the Supplementary Material 1.
3. Discussion
The primary aim of the SCD-Well study is to establish whether an 8-week MBI as compared to 8-week health education training can reduce anxiety levels in older adults with SCD. This will be assessed through the use of a multicenter randomized superiority trial. As anxiety symptoms are not only prevalent among patients with SCD [12], [41] but may also represent a risk factor for dementia [8], [21], [42], this study aims to provide an initial step toward testing the potential of mindfulness-based training as a new form of intervention to improve well-being and prevent cognitive decline and ultimately delay the onset of dementia. Furthermore, the study is aimed at providing rigorous evidence regarding the immediate and sustained effects of mindfulness training on a range of other psychological and biological factors that are indicators of health, well-being, and cognitive functions.
3.1. Practical issues
The SCD-Well trial is conducted in several countries with the aim of establishing whether an MBI is broadly applicable for older persons with SCD. However, if there are strong cultural differences in the response to the training, this could increase the heterogeneity across sites in the overall expected effect. Analyses of responder characteristics could help to address such biases in future studies. We have excluded participants with anxiety levels reaching clinical significance to limit potential confounding from psychiatric illness, but we have not set a lower limit for anxiety levels as it is well documented that anxiety is a common symptom in people with SCD. This criterion does however create the possibility that we may not detect an effect of the intervention because of participants' low levels of baseline anxiety symptoms.
Although this study benefits from a 4-month follow-up assessment to examine whether any changes due to the intervention are maintained, future studies would profit from still longer-term follow-up assessment(s), which could examine the duration of possible effects and include monitoring of conversion to dementia. Finally, we have included an active comparison condition that will be used to examine whether mindfulness-based training confers a specific advantage over another form of behavioral intervention; however, we did not include a passive control condition due to recruitment and financial constraints. If no difference is found between the mindfulness-based and comparison interventions, it will therefore be difficult to show whether this is because neither or both were effective at reducing anxiety.
3.2. Operational issues
Although great care was taken in the conceptualization and preparation of the SCD-Well trial, there are some operational issues that are inherent in the dependent measures. First, the main endpoint, anxiety, is only assessed through a questionnaire and is thus not blinded to the allocated intervention. Although the employed questionnaire has been extensively validated, our endpoint relies on participants' capacity to give an accurate report of their anxiety levels. To complement potential biases through self-reports in relation to our secondary objectives, participants' partners (for example, spouses, children, neighbors, close friends) are also invited to fill in a set of questionnaires. A second operational issue is encountered by the fact that we only have few objective risk markers for dementia (e.g., apolipoprotein E [APOE] ɛ4 genotype, hypertension) and that neuroimaging-based dementia markers (such as β-amyloid levels, hippocampal volume) are not collected in this study due to feasibility and cost issues. Those measures will, however, be collected in the AGE-Well Study, which is also part of the Medit-Ageing project. Despite minimal collection of biomarkers, we will store whole blood and plasma samples for future analyses as novel blood-based biomarkers are found and refined and will make use of a number of behavioral and psychiatric risk factors that will be measured in SCD-Well (e.g., depressive symptoms, poor sleep).
In summary, the SCD-Well study aims to test whether mindfulness-based training can be regarded as an alternative approach to reduce anxiety and maintain mental health and well-being in older age. If mindfulness-based training can promote healthy aging in people with SCD, it will offer a novel and alternative therapeutic and preventive approach for a population who currently lacks treatment options.
Research in Context.
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Systematic review: Older adults with subjective cognitive decline (SCD) report concerns about self-perceived cognitive decline but appear normal on assessment. SCD is associated with increased risk for dementia and also increased anxiety symptoms. Database searches for clinical trials indicate that few nonpharmacologic interventions have been trialed for patients with SCD, and those that have are often unicentric, small, have no active control condition, and/or no longitudinal follow-up.
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Interpretation: SCD-Well is the first large-scale, multicountry randomized controlled trial with a long-term follow-up in older adults with SCD. It assesses for the first time the effects of an 8-week mindfulness-based intervention compared to a health education program on anxiety symptoms and measures of psychological, cognitive, social, and biological functioning.
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Future directions: SCD-Well will provide evidence on whether a mindfulness-based intervention can reduce anxiety and other dementia risks. It will inform future trials and strategies to improve mental health and prevent cognitive decline in SCD.
Acknowledgments
Many people helped in implementing this study. The authors would like to thank all the contributors listed in the SCD-WELL Medit-Ageing Research Group, Zouhir Chikh, the sponsor (Pôle de Recherche Clinique at Inserm), Inserm Transfert (Delphine Smagghe), and the participants in the SCD-Well clinical trial.
The SCD-WELL Medit-Ageing Research Group includes Nicholas Ashton, Florence Allais, Julien Asselineau, Romain Bachelet, Viviane Belleoud, Clara Benson, Beatriz Bosch, Maelle Botton, Maria Pilar Casanova, Anne Chocat, Floriane Delphin, Harriet Demnitz-King, Stéphanie Egret, Karine Goldet, Julie Gonneaud, Abdul Hye, Agathe Joret Philippe, Renaud La Joie, Maria Leon, Dix Meiberth, Ester Milz, Hendrik Mueller, Theresa Mueller, Valentin Ourry, Alfredo Ramirez, Géraldine Rauchs, Laura Richert, Ana Salinero, Eric Salmon, Lena Sannemann, Yamna Satgunasingam, Marco Schlosser, Christine Schwimmer, Hilde Steinhauser, Clémence Tomadesso, Denis Vivien, Patrik Vuilleumier, Cédrick Wallet, Tim Whitfield, and Janet Wingrove.
The SCD-Well RCT is part of the Medit-Ageing project funded through the European Union in the Horizon 2020 program related to the call PHC22 “Promoting mental well-being in the aging population.” The funder is not involved in the study design, data acquisition, data analysis, data interpretation, or manuscript writing.
Footnotes
Thorsten Barnhofer and Olga Klimecki share second authorship.
Frank Jessen and Gael Chételat share last authorship.
ClinicalTrials.gov identifier: NCT03005652.
T.B. has received honoraria for workshops on mindfulness-based interventions and is the co-author of a book on mindfulness-based cognitive therapy. All other authors declare that they have no competing interests.
Supplementary data to this article can be found online at https://doi.org/10.1016/j.trci.2018.10.010.
Contributor Information
Natalie L. Marchant, Email: n.marchant@ucl.ac.uk.
SCD-WELL Medit-Ageing Research Group:
Nicholas Ashton, Florence Allais, Julien Asselineau, Romain Bachelet, Viviane Belleoud, Clara Benson, Beatriz Bosch, Maelle Botton, Maria Pilar Casanova, Anne Chocat, Floriane Delphin, Harriet Demnitz-King, Stéphanie Egret, Julie Gonneaud, Abdul Hye, Agathe Joret Philippe, Renaud La Joie, Maria Leon, Dix Meiberth, Ester Milz, Hendrik Mueller, Theresa Mueller, Valentin Ourry, Alfredo Ramirez, Géraldine Rauchs, Leslie Reyrolle, Laura Richert, Ana Salinero, Eric Salmon, Lena Sannemann, Yamna Satgunasingam, Marco Schlosser, Christine Schwimmer, Hilde Steinhauser, Clémence Tomadesso, Denis Vivien, Patrik Vuilleumier, Cédrick Wallet, Tim Whitfield, and Janet Wingrove
Supplementary data
References
- 1.Prince M., Wimo A., Guerchet M., Ali G.C., Wu Y.T., Prina M. Alzheimer’s Disease International (ADI); 2015. World Alzheimer Report 2015—the Global Impact of Dementia: An Analysis of Prevalence, Incidence, Cost and Trends. London. [Google Scholar]
- 2.Chetelat G., Villemagne V.L., Bourgeat P., Pike K.E., Jones G., Ames D. Relationship between atrophy and β-amyloid deposition in Alzheimer disease. Ann Neurol. 2010;67:317–324. doi: 10.1002/ana.21955. [DOI] [PubMed] [Google Scholar]
- 3.Carter S.F., Scholl M., Almkvist O., Wall A., Engler H., Langstrom B. Evidence for astrocytosis in prodromal Alzheimer disease provided by 11C-deuterium-L-deprenyl: A multitracer PET paradigm combining 11C-Pittsburgh compound B and 18F-FDG. J Nucl Med. 2012;53:37–46. doi: 10.2967/jnumed.110.087031. [DOI] [PubMed] [Google Scholar]
- 4.Livingston G., Sommerlad A., Orgeta V., Costafreda S.G., Huntley J., Ames D. Dementia prevention, intervention, and care. Lancet. 2017;390:2673–2734. doi: 10.1016/S0140-6736(17)31363-6. [DOI] [PubMed] [Google Scholar]
- 5.Norton S., Matthews F.E., Barnes D.E., Yaffe K., Brayne C. Potential for primary prevention of Alzheimer's disease: An analysis of population-based data. Lancet Neurol. 2014;13:788–794. doi: 10.1016/S1474-4422(14)70136-X. [DOI] [PubMed] [Google Scholar]
- 6.Ju Y.E., McLeland J.S., Toedebusch C.D., Xiong C., Fagan A.M., Duntley S.P. Sleep quality and preclinical Alzheimer disease. JAMA Neurol. 2013;70:587–593. doi: 10.1001/jamaneurol.2013.2334. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Wilson R.S., Barnes L.L., Mendes de Leon C.F., Aggarwal N.T., Schneider J.S., Bach J. Depressive symptoms, cognitive decline, and risk of AD in older persons. Neurology. 2002;59:364–370. doi: 10.1212/wnl.59.3.364. [DOI] [PubMed] [Google Scholar]
- 8.Pietrzak R.H., Lim Y.Y., Neumeister A., Ames D., Ellis K.A., Harrington K. Amyloid-β, Anxiety, and Cognitive Decline in Preclinical Alzheimer Disease: A Multicenter, Prospective Cohort Study. JAMA Psychiatry. 2015;72:284–291. doi: 10.1001/jamapsychiatry.2014.2476. [DOI] [PubMed] [Google Scholar]
- 9.Gulpers B., Ramakers I., Hamel R., Kohler S., Oude Voshaar R., Verhey F. Anxiety as a Predictor for Cognitive Decline and Dementia: A Systematic Review and Meta-Analysis. Am J Geriatr Psychiatry. 2016;24:823–842. doi: 10.1016/j.jagp.2016.05.015. [DOI] [PubMed] [Google Scholar]
- 10.Koppara A., Wagner M., Lange C., Ernst A., Wiese B., König H.H. Cognitive performance before and after the onset of subjective cognitive decline in old age. Alzheimers Dement Diagn Assess Dis Monit. 2015;1:194–205. doi: 10.1016/j.dadm.2015.02.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Jessen F., Amariglio R.E., van Boxtel M., Breteler M., Ceccaldi M., Chetelat G. A conceptual framework for research on subjective cognitive decline in preclinical Alzheimer’s disease. Alzheimers Dement. 2014;10:844–852. doi: 10.1016/j.jalz.2014.01.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Rabin L.A., Smart C.M., Amariglio R.E. Subjective Cognitive Decline in Preclinical Alzheimer's Disease. Annu Rev Clin Psychol. 2017;13:369–396. doi: 10.1146/annurev-clinpsy-032816-045136. [DOI] [PubMed] [Google Scholar]
- 13.Chen K.W., Berger C.C., Manheimer E., Forde D., Magidson J., Dachman L. Meditative therapies for reducing anxiety: Asystematic review and meta-analysis of randomized controlled trials. Depress Anxiety. 2012;29:545–562. doi: 10.1002/da.21964. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Khoury B., Lecomte T., Fortin G., Masse M., Therien P., Bouchard V. Mindfulness-based therapy: A comprehensive meta-analysis. Clin Psychol Rev. 2013;33:763–771. doi: 10.1016/j.cpr.2013.05.005. [DOI] [PubMed] [Google Scholar]
- 15.Kabat-Zinn J. Delta; New York: 1990. Full Catastrophe Living: The Program of the Stress Reduction Clinic at the University of Massachusetts Medical Center. [Google Scholar]
- 16.Gard T., Holzel B.K., Lazar S.W. The potential effects of meditation on age-related cognitive decline: A systematic review. Ann N Y Acad Sci. 2014;1307:89–103. doi: 10.1111/nyas.12348. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Marciniak R., Sheardova K., Cermakova P., Hudecek D., Sumec R., Hort J. Effect of meditation on cognitive functions in context of aging and neurodegenerative diseases. Front Behav Neurosci. 2014;8:17. doi: 10.3389/fnbeh.2014.00017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Khoury B., Sharma M., Rush S.E., Fournier C. Mindfulness-based stress reduction for healthy individuals: A meta-analysis. J Psychosom Res. 2015;78:519–528. doi: 10.1016/j.jpsychores.2015.03.009. [DOI] [PubMed] [Google Scholar]
- 19.Innes K.E., Selfe T.K. Meditation as a therapeutic intervention for adults at risk for Alzheimer's disease - potential benefits and underlying mechanisms. Front Psychiatry. 2014;5:40. doi: 10.3389/fpsyt.2014.00040. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Schneider R.H., Grim C.E., Rainforth M.V., Kotchen T., Nidich S.I., Gaylord-King C. Stress reduction in the secondary prevention of cardiovascular disease: Randomized, controlled trial of transcendental meditation and health education in Blacks. Circ Cardiovasc Qual Outcomes. 2012;5:750–758. doi: 10.1161/CIRCOUTCOMES.112.967406. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Marchant N.L., Howard R.J. Cognitive debt and Alzheimer's disease. J Alzheimers Dis. 2015;44:755–770. doi: 10.3233/JAD-141515. [DOI] [PubMed] [Google Scholar]
- 22.Whitmer R.A., Sidney S., Selby J., Johnston S.C., Yaffe K. Midlife cardiovascular risk factors and risk of dementia in late life. Neurology. 2005;64:277–281. doi: 10.1212/01.WNL.0000149519.47454.F2. [DOI] [PubMed] [Google Scholar]
- 23.Ashton N.J., Hye A., Leckey C.A., Jones A.R., Gardner A., Elliott C. Plasma REST: A novel candidate biomarker of Alzheimer’s disease is modified by psychological intervention in an at-risk population. Transl Psychiatry. 2017;7:e1148. doi: 10.1038/tp.2017.113. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Lorig K., Holman H., Sobel D., Laurent D., González V., Minor M. Arthritis, Diabetes, Depression, Asthma, Bronchitis, Emphysema and Other Physical and Mental Health Conditions. 4th ed. Bull Publishing Company; Boulder, CO: 2012. Living a Healthy Life with Chronic Conditions: Self-Management of Heart Disease. [Google Scholar]
- 25.Wetherell J.L., Hershey T., Hickman S., Tate S.R., Dixon D., Bower E.S. Mindfulness-based stress reduction for older adults with stress disorders and neurocognitive difficulties: A Randomized Controlled Trial. J Clin Psychiatry. 2017;78:e734–e743. doi: 10.4088/JCP.16m10947. [DOI] [PubMed] [Google Scholar]
- 26.Moore R.C., Depp C.A., Wetherell J.L., Lenze E.J. Ecological momentary assessment versus standard assessment instruments for measuring mindfulness, depressed mood, and anxiety among older adults. J Psychiatr Res. 2016;75:116–123. doi: 10.1016/j.jpsychires.2016.01.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Zellner Keller B., Singh N.N., Winton A.S. Mindfulness-Based Cognitive Approach for Seniors (MBCAS): Program Development and Implementation. Mindfulness N. 2014;5:453–459. doi: 10.1007/s12671-013-0262-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Koszycki D., Thake J., Mavounza C., Daoust J.P., Taljaard M., Bradwejn J. Preliminary investigation of a mindfulness-based intervention for social anxiety disorder that integrates compassion meditation and mindful exposure. J Altern Complement Med. 2016;22:363–374. doi: 10.1089/acm.2015.0108. [DOI] [PubMed] [Google Scholar]
- 29.Krieger T., Berger T., Holtforth M.G. The relationship of self-compassion and depression: Cross-lagged panel analyses in depressed patients after outpatient therapy. J Affect Disord. 2016;202:39–45. doi: 10.1016/j.jad.2016.05.032. [DOI] [PubMed] [Google Scholar]
- 30.Arch J.J., Landy L.N., Brown K.W. Predictors and moderators of biopsychological social stress responses following brief self-compassion meditation training. Psychoneuroendocrinology. 2016;69:35–40. doi: 10.1016/j.psyneuen.2016.03.009. [DOI] [PubMed] [Google Scholar]
- 31.Folstein M.F., Folstein S.E., McHugh P.R. “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975;12:189–198. doi: 10.1016/0022-3956(75)90026-6. [DOI] [PubMed] [Google Scholar]
- 32.American Psychiatric Association . 5th ed. American Psychiatric Publishing; Arlington, VA: 2013. Diagnostic and Statistical Manual of Mental Disorders. [Google Scholar]
- 33.World Health Organization . World Health Organization; Geneva: 1992. The ICD-10 Classification of Mental and Behavioural Disorders: Clinical Descriptions and Diagnostic Guidelines. [Google Scholar]
- 34.Bondi M.W., Edmonds E.C., Jak A.J., Clark L.R., Delano-Wood L., McDonald C.R. Neuropsychological criteria for mild cognitive impairment improves diagnostic precision, biomarker associations, and progression rates. J Alzheimers Dis. 2014;42:275–289. doi: 10.3233/JAD-140276. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Jak A.J., Bondi M.W., Delano-Wood L., Wierenga C., Corey-Bloom J., Salmon D.P. Quantification of five neuropsychological approaches to defining mild cognitive impairment. Am J Geriatr Psychiatry. 2009;17:368–375. doi: 10.1097/JGP.0b013e31819431d5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Molinuevo J.L., Rabin L.A., Amariglio R., Buckley R., Dubois B., Ellis K.A. Implementation of subjective cognitive decline criteria in research studies. Alzheimers Dement J Alzheimers Assoc. 2017;13:296–311. doi: 10.1016/j.jalz.2016.09.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Devilly G.J., Borkovec T.D. Psychometric properties of the credibility/expectancy questionnaire. J Behav Ther Exp Psychiatry. 2000;31:73–86. doi: 10.1016/s0005-7916(00)00012-4. [DOI] [PubMed] [Google Scholar]
- 38.Spielberger C.D., Gorsuch R.L., Lushene R., Vagg P.R., Jacobs G.A. Consulting Psychologists Press; Palo Alto, CA: 1983. Manual for the State-Trait Anxiety Inventory. [Google Scholar]
- 39.Perrotin A., La Joie R., de La Sayette V., Barré L., Mézenge F., Mutlu J. Subjective cognitive decline in cognitively normal elders from the community or from a memory clinic: Differential affective and imaging correlates. Alzheimers Dement J Alzheimers Assoc. 2017;13:550–560. doi: 10.1016/j.jalz.2016.08.011. [DOI] [PubMed] [Google Scholar]
- 40.Chan A.-W., Tetzlaff J.M., Altman D.G., Dickersin K., Moher D. SPIRIT 2013: New guidance for content of clinical trial protocols. Lancet. 2013;381:91–92. doi: 10.1016/S0140-6736(12)62160-6. [DOI] [PubMed] [Google Scholar]
- 41.Slavin M.J., Brodaty H., Kochan N.A., Crawford J.D., Trollor J.N., Draper B. Prevalence and predictors of “subjective cognitive complaints” in the Sydney Memory and Ageing Study. Am J Geriatr Psychiatry. 2010;18:701–710. doi: 10.1097/jgp.0b013e3181df49fb. [DOI] [PubMed] [Google Scholar]
- 42.Gimson A., Schlosser M., Huntley J.D., Marchant N.L. Support for midlife anxiety diagnosis as an independent risk factor for dementia: A systematic review. BMJ Open. 2018;8:e019399. doi: 10.1136/bmjopen-2017-019399. [DOI] [PMC free article] [PubMed] [Google Scholar]
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