Figures
Abstract
Objective
Most formats of currently used community-based health education for cognitive impairment prevention are limited to one-way communication, such as distributing leaflets, pasting posters, or holding a lecture, and they lack comprehensive evaluation. Here we aim to design, test, and evaluate a novel pilot cognitive health education program combined with psychosocial interventions (CHECPI).
Methods
We designed the CHECPI program and tested it among adults aged 60 and over in an aging-friendly community in 2018. Multidimensional cognitive functions were measured by the Montreal Cognitive Assessment (MoCA) before and three months after the CHECPI program. Quantitative and qualitative analyses were performed based on the RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework to evaluate the program. Wilcoxon signed-rank tests were used to assess changes in multidimensional cognitive functions.
Results
The CHECPI program was comprised of 12 courses and introduced 5 kinds of psychosocial interventions. Reach: 28 older adults participated in the program, of whom most were female (n = 22) and younger elderly with an average age of 65.32 years. Effectiveness: 19 participants finished≥6 courses as well as the follow-up survey. Although their MoCA scores did not improve significantly, they had increased their visuospatial ability significantly (with the average score increasing by 0.42). Adoption: the community officers, lecturers, and participants highly recommended the program, but they agreed that the lack of professional instructors may hinder its popularization. Implementation: the program was implemented in full accordance with the pre-program design. Maintenance: three months after the program, 17 participants had maintained at least one of the seven healthy behaviors that were introduced in the program.
Citation: Yuan M, Xiao X, Wang Y, Han Y, Zhang R, Fu H, et al. (2021) Design and evaluation of a cognitive health education pilot program according to the RE-AIM framework. PLoS ONE 16(12): e0260934. https://doi.org/10.1371/journal.pone.0260934
Editor: Mariusz Duplaga, Uniwersytet Jagiellonski w Krakowie Biblioteka Jagiellonska, POLAND
Received: November 30, 2020; Accepted: November 20, 2021; Published: December 3, 2021
Copyright: © 2021 Yuan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the paper and its S1 Dataset files.
Funding: This work was supported by the National Natural Science Foundation of China (81573257 and 81973144) (URL: http://www.nsfc.gov.cn/) awarded to Ya Fang, Education and scientific research project of young and middle-aged teachers in Fujian Education Department (grant number JT180007) (URL: http://jyt.fujian.gov.cn/) awarded to Manqiong Yuan, and the Natural Science Foundation of Fujian Province (grant number 2016J01408) (URL: http://kjt.fujian.gov.cn/) awarded to Ya Fang. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Introduction
China’s population is the largest in the world and is rapidly aging. This presents China with enormous challenges. By the end of 2016, there were 231 million people aged over 60 in China, accounting for 16.7% of the total population. The Chinese elderly population is expected to exceed 300 million in 2025 and reach a peak of 487 million in 2053, when it will account for one-quarter of the global elderly population [1]. As individuals age, cognitive function gradually declines and the risk of cognitive impairment and Alzheimer’s disease (AD) increases.
Cognitive dysfunction has become one of the most urgent public health problems for aging societies. Currently, among individuals aged over 60, the prevalence of mild cognitive impairment (MCI) is 12%-18% [2] and of AD is 1.64%-7.09% [3]. Meanwhile, approximately 10%-15% of patients with MCI will progress to AD within a year [4]. Cognitive dysfunction is a chronic disease that is difficult to detect, with a low treatment rate but a high disability risk. Once it develops into AD, there is no effective treatment. Mild cognitive dysfunction is associated with many risk factors, such as unhealthy behaviors (e.g. smoking/secondhand smoking, alcohol abuse, and unhealthy diet) [5, 6], chronic diseases (e.g. obesity [7]), and psychological factors (e.g. depression [8]).
The decline of cognitive function can be slowed if the elderly are aware of cognitive impairment-related risk factors and consciously take preventive measures [9, 10]. For example, studies have suggested that physical activity, particularly aerobic exercise, and healthy behaviors such as cognitive training and good nutrition are necessary to optimize brain function and prevent cognitive decline [11, 12]. Health education, by using easily understandable language to establish a healthy mindset, is one of the most suitable ways to increase awareness of cognitive impairment prevention. Mirowsky [13] has found that the effect of health education increases with age for the elderly. Through health education, the elderly can learn exercises that enhance their sense of self-efficacy and improve their ability to control their own lives, and ultimately improve their health [14]. In the process of cognitive health education among the elderly, the key issue is to enhance their awareness of dementia prevention and establish the internal motivation to independently take preventive measures in their daily life [15].
However, the format of community-based health education for cognitive impairment prevention, in terms of programs that have actually been implemented, is currently limited to health counseling, distribution of health handbooks, poster publicity, and lectures. Briant [16] implemented a novel approach to health education through story-telling and sharing, which achieved excellent results. More new formats are urgently needed to achieve better results in health education for the elderly. There is emerging evidence for the benefits of psychosocial interventions in dementia care [17–19]. Psychosocial interventions encompass cognitive, memory, emotional and social support, which can help the target population improve outcomes such as self-confidence and social interactions.
To date, academic studies have mainly evaluated new cognitive interventions by examining their effectiveness. Although effectiveness is a crucial aspect of an intervention, its application is affected by many other factors, such as accessibility, applicability, and sustainability. There are many programs of proven efficacy that fail when implemented in real-world settings, resulting in wasted resources and unmet needs. A new health promotion or education program should be evaluated on the basis of a broad array of issues so that it can genuinely help decision-makers to make more informed judgments and effective use of scarce resources [20]. The Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework, proposed by Glasgow et al in 1999 [21], is a systematic evaluation method that helps us to understand a broad array of issues that an effective program must address. RE-AIM informs how to evaluate interventions that can improve the sustainable adoption and implementation of effective, generalizable, and evidence-based interventions [22]. In particular, it is useful in the evaluation of complex environment-based interventions [23, 24].
In this pilot study, we aimed to design, test, and evaluate a novel program of cognitive health education combined with psychosocial interventions (CHECPI). We designed the program by integrating content corresponding both to risk factors and to psychosocial interventions. We then tested it among older adults in an aging-friendly community in Xiamen, China. Afterward, we evaluated it based on the RE-AIM framework. The results of this study informed preliminary estimates of effectiveness and acceptability and feasibility of delivery in real-world settings.
Materials and methods
Formation of CHECPI
The modifiable influencing factors of cognitive decline can be summarized as comorbidities, lifestyles, and psychological factors [25, 26]. The content framework of CHECPI thus included an introduction that covered cognitive influencing factors, guidance on healthy living behaviors, and suggestions for cognitive-related disease management. The psychosocial interventions included game therapy[27, 28], art therapy [29], problem-solving therapy [30], reminiscence therapy [31], and group support therapy [32], all of which have been proven to be effective for early dementia.
Sample
Before the CHECPI program was tested, we carried out a publicity program to recruit participants from an aging-friendly community in Xiamen, China. The recruitment notice was sent out through several channels such as a WeChat group, WeChat official account tweets, and posters at the community notice bar. People who were interested in the program participated in the publicity activities voluntarily at the community elderly activity center. The publicity activities included the introduction of the CHECPI program by posters as well as oral presentations, questionnaires, screening of cognitive function, and playing of simple cognitive games. It attracted 91 middle-aged and older adults, of whom 83 were aged over 60 years (see S1 Dataset). Since the elderly generally have relative difficulties in curriculum interactions and small class is more conducive to perform psychological interventions, we controlled the number of participants to ensure the education quality. Given that the sample sizes in cognitive intervention studies are usually less than 30 [33], we recruited CHECPI program participants on a first-come-first-served basis up to 30. Inclusion criteria were age over 60 years, ability to communicate effectively, and voluntary participation in the program. Exclusion criteria included audio-visual impairment, severe brain injury, and psychiatric disorders. In the end, a total of 28 older adults participated in the CHECPI program for at least one course, and 21 finished at least six courses (12 courses in total), of whom 19 finished the follow-up survey three months after the program (see S1 Dataset). Data of the 19 participants were used to measure the effectiveness of the program. Our study was approved by the ethical review committee of the School of Public Health, Xiamen University (SPH-XMU2015006). Informed consent was obtained from all respondents.
Measures
Cognitive function was measured by the Montreal Cognitive Assessment (MoCA), which is widely used as a credible preliminary screening tool for mild cognitive impairment [34]. The MoCA scores ranged from 0 to 30, with a higher score indicating better cognitive performance. Six cognitive subdomains can be extracted including delayed memory (five points), visuospatial ability (four points), executive ability (four points), attention (six points), language (five points), and orientation (six points). In addition, participants’ general demographic information including age, gender, highest level of education, and marital status were also recorded. Participants’ performance in each course and the feedback on the program were recorded in a timely fashion by three regular teaching assistants, who were undergraduate students in public health and had received formal program training to guide the elderly in class discussion as well as in practicing the content of the program after class. Baseline data were extracted from the information collected in the publicity activity mentioned above, and the follow-up survey was conducted three months after the program.
Analytical strategy
The RE-AIM framework was used to evaluate the Reach, Effectiveness, Adoption, Implementation, and Maintenance of this pilot program. Referring to original definitions, we interpret the Reach as the absolute number and basic demographic information of those who were attracted by the program publicity activity and persisted in participating in the program. The Effectiveness was measured by the changes in the MoCA scores of the 19 participants who attended at least six courses and finished the 3-month follow-up survey. The score changes were assessed by a Wilcoxon signed-rank test. The Adoption was evaluated by the opinions of relevant participants and personnel gathered by semi-structured qualitative interviews. We interpreted the Implementation by the degree of program completion. The Maintenance was measured by the retention rate of the seven kinds of healthy behaviors that had been introduced in the CHECPI courses.
Results
CHECPI
The program consisted of 12 courses, which were conducted once a week with application of the five types of psychosocial interventions. Following the example of the existing literature, we included living habits, comorbidity, and mental health as intervention factors. Table 1 displays the teaching content and psychosocial interventions that were performed. Each course consisted of a 45-minute lecture, followed by a 15-minute psychosocial intervention. Participants were divided into three groups according to their personal preference to comply with the rules of group support therapy. For each group, a teaching assistant was assigned to guide the participants in class discussion as well as in practicing the teaching content after class. Psychosocial interventions were combined with course content in many ways that enhanced classroom interaction and improved the enthusiasm of the participants.
RE-AIM evaluation
Reach.
The program publicity activity attracted 91 middle-aged and older adults, of whom 83 were aged over 60 years. Among the 83 respondents, the oldest was 77 and the mean age was 65.61. Most of them were female (n = 58) and married (n = 72). We then recruited participants on a first-come-first-served basis, resulting in a total of 28 older adults participating in at least one course (12 courses in total), with an average attendance of 8.04 courses. As shown in Table 2, there were no statistical differences in age, MoCA score, gender, marital status, or highest level of education between participants and non-participants. The average course participations for the 28 participants was 7.07 (ranged from 1 to 12). Among them, 21 finished at least half of the courses and 18 finished at least eight courses. Four older adults participated in all 12 courses, and five participated in 11 courses. Overall, most of the participants were younger elderly with an average age of 65.32 years, and most were female (n = 22).
Effectiveness.
As shown in Table 3, the average MoCA score of the 19 participants was 26.05±2.46 at the initial baseline, and slightly increased in the follow-up survey after three months (26.26±2.84). Although the MoCA score did not improve significantly (z = 0.209, p = 0.431), participants did increase their visuospatial ability (z = -1.903, p = 0.045). The other five cognitive subdomains did not show statistically significant changes (p>0.05).
Adoption.
The interviews were semi-structured with questions concerning opinions on the best part of the program, obstacles, and advice for long-term implementation of the program. 2 community officers, 5 lecturers/teaching assistants, and 25 participants were interviewed after the CHECPI program. All interviews were conducted face-to-face and lasted 10–15 minutes. At the organizational level, the community officer expressed a high willingness to adopt the program, but the fact that implementation of the program was restricted by the lack of professionals was their main concern. At the individual level, it was difficult for the lecturers to carry out the program over an extended time because of busy work schedules or traffic issues. The older adults believed that the program could improve their health, but occasionally there were time conflicts that forced them to be absent from the courses. Some specific interview contents and feedback are shown in Table 4.
Implementation.
The implementation process of this pilot program is shown in Fig 1. The program was carried out in full accordance with the scheduled plan. The plan was to recruit 30 participants, and 28 participants were recruited in the end. The 28 participants were classified into three groups in accordance with the practices of group support therapy. Art therapy, game therapy, and problem-solving therapy were also applied in the 12 courses. At the end of the program, we held a knowledge competition and an evening party to celebrate the completion of the project. The community provided a well-equipped classroom for implementing the program, but some of the participants had to walk a substantial distance from their homes in order to attend. This resulted in some absences during bad weather.
Each course consisted of content teaching (45 mins) and different kinds of psychosocial interventions (15 mins). Martial Arts Practice, Folk Dance, and Fashion Show were the performances prepared by different groups for the final party.
Maintenance.
In the follow-up survey that was performed three months after the CHECPI program, we asked the participants about their retention of the seven kinds of healthy behaviors introduced in the CHECPI program. This was assessed by the question, “Have you developed the following behaviors according to the content of the CHECPI courses?” Three options were provided (Yes, No, and Unknown). The behaviors included doing finger exercises, ingesting foods that are good for the brain, practicing abdominal breathing, doing Baduanjin exercise (a traditional Chinese health-promoting exercise), communicating with others frequently, being willing to meet new friends, and participating in group activities. Among the 19 participants, 17 had maintained at least one type of the behaviors described above, and 6 had maintained more than two types. However, some of the participants reported that they had almost forgotten the teaching content and needed a review.
Discussion
We introduced psychosocial interventions as part of the design of a novel cognitive health education program for the elderly and tested it in an aging-friendly community. The RE-AIM framework was adopted to evaluate the program both qualitatively and quantitatively. This pilot program was shown to have a positive effect on the visuospatial abilities of its participants. However, as it is a small pilot study, a larger sample size in a randomized controlled trial was needed to establish the efficacy, and the program also needs to be adapted and refined to obtain more desired effects.
The Reach of the program showed that younger female elderly were more willing to participate in both the program publicity activity and the courses. This has also been the case in many prior community-based cognitive intervention studies [35–37]. For example, an imagery thinking training study recruited 123 community-dwelling older participants, of whom 108 (87.80%) were women and 80 (65.04%) were younger than 70 years [35]. Even for the interventions based on chess and card intelligence games, which appear to be more popular among men, there were still more female participants than male (78 v.s. 39) and 83.8% were younger than 75 years [36]. Moreover, even in a large-scale cognitive training program that recruited 2,832 volunteer samples, 75.87% of the participants were women. Roy [37] also found women were more likely to participate in social activities than men. To improve the representativeness, more activities that men are interested in can be introduced to keep the participant population homogeneous with regard to gender in future intervention programs.
Although the average MoCA score increased in the follow-up survey, the change was not statistically significant. In retrospect, this is not surprising, and there are several possible explanations: (1) health education interventions help participants to acquire and maintain knowledge, and guide them to put this knowledge into practice. Therefore, the effects would proceed in stages: an increase in knowledge of what to do, behavioral changes, and translation of the behavioral changes into actual performance changes [38]. As a result, the participants may need more time to show any effects on cognitive function. (2) For older adults, cognitive function declines with increasing age. In this study, the average MoCA total score increased slightly, though not significantly, which may indicate beneficial effects in slowing cognitive decline. However, this effect could not be proven due to the absence of a control group. (3) Prior studies have suggested a moderate effect of intervention in cognitive impairment that requires a sample sized ≥26 subjects per group to detect an effect of intervention with 80% power at p<0.05 [39, 40]. However, only 19 valid participants ultimately remained and therefore the sample size in this study might not be sufficient to detect a modest change.
In recent years, there have been many programs aimed at improving cognitive function that have mainly focused on cognitive training, aerobic exercise, and health education at home and abroad. Most studies have shown that cognitive training and aerobic exercise can improve cognitive function [41, 42]. However, health education is usually used as a control intervention or as part of a joint program, and its effect is rarely evaluated. Health education encourages people to change their behaviors by disseminating health knowledge. It plays an important role in the prevention of health problems. The complex health problems of the elderly make them pay more attention to health knowledge, but existing health education for the elderly is not tailored to individual needs. It therefore lacks pertinence and does not have the desired effect. Studies showed that most of the elderly lacked knowledge of dementia, and therefore there is a need for comprehensive cognitive health education [43]. It is meaningful to adopt various formats of cognitive health education that enable the elderly to acquire dementia-related knowledge while continuously activating the brain, so as to achieve better prevention of AD.
The program was carried out strictly according to plan, but there were some emergency situations such as a sudden change of course time due to bad weather. Some participants were hard to reach by WeChat, resulting in absences from those course sessions. In the future, we can establish a group leader to make emergency notifications. Community officers gave a high appraisal of the program and were willing to extend it to other communities. However, it was recognized that the lack of professional health educators may limit the success of the program.
We designed the CHECPI program, a combination of psychosocial interventions and cognitive health education, and evaluated it based on the RE-AIM framework. Some limitations should be acknowledged. First, we conducted the pilot program in an aging-friendly community that had available support from the officers and a well-equipped classroom. Whether the program is suitable for communities with inadequate cooperation remains to be studied. Second, due to the absence of a control group, we could not evaluate the effect of the psychosocial interventions. Different psychosocial interventions might be of benefit to the elderly to different extents, which can be studied in the future for the improvement of the program. Third, due to the lack of a long-term follow-up survey, we cannot evaluate the maintenance of the CHECPI program. Fourth, the sample size was small in this pilot study, and thus the results provided an preliminary estimate of effectiveness that should be tested in a larger trial.
Supporting information
S1 Dataset. Dataset of 83 respondents and 19 valid educated participants.
https://doi.org/10.1371/journal.pone.0260934.s001
(XLSX)
Acknowledgments
We thank the Xiamen Municipal Committee on Aging for supporting this study and the efforts of the staff and volunteers. We are also grateful to the teaching assistants from the School of Public Health, Xiamen University.
References
- 1. Zou B. The current situation of aging in China and its positive countermeasures. Chinese Civil Affairs. 2017;20:42–44.
- 2. Nie H, Xu Y, Liu B, Zhang Y, Lei T, Hui X, et al. The prevalence of mild cognitive impairment about elderly population in China: a meta-analysis. Int J Geriatr Psychiatry. 2011;26(6):558–63. pmid:20878675
- 3. Fiest KM, Roberts JI, Maxwell CJ, Hogan DB, Smith EE, Frolkis A, et al. The Prevalence and Incidence of Dementia Due to Alzheimer’s Disease: a Systematic Review and Meta-Analysis. Can J Neurol Sci. 2016;43 Suppl 1:S51–82. pmid:27307128
- 4. Petersen RC, Roberts RO, Knopman DS, Boeve BF, Geda YE, Ivnik RJ, et al. Mild cognitive impairment: ten years later. Arch Neurol. 2009;66(12):1447–55. pmid:20008648
- 5. Anstey KJ, Chen R. Invited Commentary: Secondhand Smoke-an Underrecognized Risk Factor for Cognitive Decline. Am J Epidemiol. 2018 May 1;187(5):919–921. pmid:29370342
- 6. Kesse-Guyot E, Andreeva VA, Lassale C, Hercberg S, Galan P. Clustering of midlife lifestyle behaviors and subsequent cognitive function: a longitudinal study. Am J Public Health. 2014 Nov;104(11):e170–7. pmid:25211733
- 7. Dye L, Boyle NB, Champ C, Lawton C. The relationship between obesity and cognitive health and decline. Proc Nutr Soc. 2017 Nov;76(4):443–454. pmid:28889822
- 8. Lohman MC, Rebok GW, Spira AP, Parisi JM, Gross AL, Kueider AM. Depressive symptoms and memory performance among older adults: results from the ACTIVE memory training intervention. J Aging Health. 2013;25(8 Suppl):209S–29S. pmid:23006426
- 9. Barnes DE, Yaffe K. The projected effect of risk factor reduction on Alzheimer’s disease prevalence. Lancet Neurol. 2011;10(9):819–28. pmid:21775213
- 10. Ligthart SA, Moll van Charante EP, Van Gool WA, Richard E. Treatment of cardiovascular risk factors to prevent cognitive decline and dementia: a systematic review. Vasc Health Risk Manag. 2010;6:775–785. pmid:20859546
- 11. Kirk-Sanchez NJ, McGough EL. Physical exercise and cognitive performance in the elderly: current perspectives. Clin Interv Aging. 2014;9:51–62. pmid:24379659
- 12. Cheng ST. Cognitive Reserve and the Prevention of Dementia: the Role of Physical and Cognitive Activities. Curr Psychiatry Rep. 2016 Sep;18(9):85. pmid:27481112
- 13. Mirowsky J, Ross CE. Education, Health, and the Default American Lifestyle. J Health Soc Behav. 2015;56(3):297–306. pmid:26272989
- 14. Chang K-S, Tsai W-H, Tsai C-H, Yeh H-I, Chiu P-H, Chang Y-W, et al. Effects of Health Education Programs for the Elders in Community Care Centers—Evaluated by Health Promotion Behaviors. International Journal of Gerontology. 2017;11(2):109–13.
- 15. Smith BJ, Ali S, Quach H. Public knowledge and beliefs about dementia risk reduction: a national survey of Australians. BMC Public Health. 2014;14:661. pmid:24972448
- 16. Briant KJ, Halter A, Marchello N, Escareno M, Thompson B. The Power of Digital Storytelling as a Culturally Relevant Health Promotion Tool. Health Promot Pract. 2016;17(6):793–801. pmid:27402721
- 17. Hunter A, Keady J, Casey D, Grealish A, Murphy K. Psychosocial Intervention Use in Long-Stay Dementia Care: A Classic Grounded Theory. Qual Health Res. 2016;26(14):2024–34. pmid:26935720
- 18. Richardson A, Pedley G, Pelone F, Akhtar F, Chang J, Muleya W, et al. Psychosocial interventions for people with young onset dementia and their carers: a systematic review. Int Psychogeriatr. 2016;28(9):1441–54. pmid:27072752
- 19. Stansfeld J, Stoner CR, Wenborn J, Vernooij-Dassen M, Moniz-Cook E, Orrell M. Positive psychology outcome measures for family caregivers of people living with dementia: a systematic review. Int Psychogeriatr. 2017;29(8):1281–96. pmid:28511738
- 20. Glasgow RE, Klesges LM, Dzewaltowski DA, Estabrooks PA, Vogt TM. Evaluating the impact of health promotion programs: using the RE-AIM framework to form summary measures for decision making involving complex issues. Health Educ Res. 2006;21(5):688–94. pmid:16945984
- 21. Glasgow RE, Vogt TM, Boles SM. Evaluating the public health impact of health promotion interventions: the RE-AIM framework. Am J Public Health. 1999;89(9):1322–7. pmid:10474547
- 22. Gaglio B, Shoup JA, Glasgow RE. The RE-AIM framework: a systematic review of use over time. Am J Public Health. 2013;103(6):e38–46. pmid:23597377
- 23. Jenkinson KA, Naughton G, Benson AC. The GLAMA (Girls! Lead! Achieve! Mentor! Activate!) physical activity and peer leadership intervention pilot project: a process evaluation using the RE-AIM framework. BMC Public Health. 2012;19;12:55. pmid:22260195
- 24. Glasgow RE, Nelson CC, Strycker LA, King DK. Using RE-AIM metrics to evaluate diabetes self-management support interventions. Am J Prev Med. 2006;30(1):67–73. pmid:16414426
- 25.
Prince M, Albanese E, Guerchet M, Prina M. World Alzheimer Report 2014: Dementia and Risk Reduction. An Analysis of Protective and Modifiable Factors2014.
- 26. Miller CA. Report from the World Alzheimer Congress 2000. Geriatr Nurs. 2000;21(5):274–5. pmid:11035312
- 27. Gold K, Grothues D, Leitzmann M, Gruber H, Melter M. [Play therapy in hospital]. Prax Kinderpsychol Kinderpsychiatr. 2012;61(3):157–66. pmid:22550767
- 28. Kao WC, Kuo LM, Chuang YH. [Introduction to Games for People With Dementia]. Hu Li Za Zhi. 2019;66(1):101–6. pmid:30648250
- 29. Deshmukh SR, Holmes J, Cardno A. Art therapy for people with dementia. Cochrane Database Syst Rev. 2018;9(9):Cd011073. pmid:30215847
- 30. Bell AC, D’Zurilla TJ. Problem-solving therapy for depression: a meta-analysis. Clin Psychol Rev. 2009;29(4):348–53. pmid:19299058
- 31. Subramaniam P, Woods B, Whitaker C. Life review and life story books for people with mild to moderate dementia: a randomised controlled trial. Aging Ment Health. 2014;18(3):363–75. pmid:24063317
- 32. Cheston R, Ivanecka A. Individual and group psychotherapy with people diagnosed with dementia: a systematic review of the literature. Int J Geriatr Psychiatry. 2017;32(1):3–31. pmid:27388259
- 33. Jean L, Bergeron ME, Thivierge S, Simard M. Cognitive intervention programs for individuals with mild cognitive impairment: systematic review of the literature. Am J Geriatr Psychiatry. 2010;18(4):281–96. pmid:20220584
- 34. Nasreddine ZS, Phillips NA, Bédirian V, Charbonneau S, Whitehead V, Collin I, et al. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005;53(4):695–9. pmid:15817019
- 35. Zhao LR, Cheng Y, He XY, Bao JJ, Li CL. The effect of image thinking training on the elderly with mild cognitive impairment in the community. Journal of Nursing Science. 2017;32(17):96–99.
- 36. Zhou CQ, Hu H. The effect of chess and card intelligence games on the cognitive function of the elderly in the community. Nursing Research. 2020;34(15): 2784–2787.
- 37. Roy M, Levasseur M, Doré I, St-Hilaire F, Michallet B, Couturier Y, et al. Looking for capacities rather than vulnerabilities: The moderating effect of health assets on the associations between adverse social position and health. Prev Med. 2018;110:93–99. pmid:29454078
- 38. Troyer A. K., Murphy K. J., Anderson N. D., Moscovitch M., Craik F. Changing everyday memory behaviour in amnestic mild cognitive impairment: a randomised controlled trial. Neuropsychological Rehabilitation. 2008;18(1):65–88. pmid:17943615
- 39. Buschert VC, Friese U, Teipel SJ, Schneider P, Merensky W, Rujescu D, et al. Effects of a newly developed cognitive intervention in amnestic mild cognitive impairment and mild Alzheimer’s disease: a pilot study. J Alzheimers Dis. 2011;25(4):679–94. pmid:21483095
- 40. Spector A, Thorgrimsen L, Woods B, Royan L, Davies S, Butterworth M, et al. Efficacy of an evidence-based cognitive stimulation therapy programme for people with dementia: randomised controlled trial. Br J Psychiatry. 2003;183:248–54. pmid:12948999
- 41. Suzuki T, Shimada H, Makizako H, Doi T, Yoshida D, Tsutsumimoto K, et al. Effects of multicomponent exercise on cognitive function in older adults with amnestic mild cognitive impairment: a randomized controlled trial. BMC Neurol. 2012;12:128. pmid:23113898
- 42. Karssemeijer EGA, Aaronson JA, Bossers WJ, Smits T, Olde Rikkert MGM, Kessels RPC. Positive effects of combined cognitive and physical exercise training on cognitive function in older adults with mild cognitive impairment or dementia: A meta-analysis. Ageing Res Rev. 2017;40:75–83. pmid:28912076
- 43. Low LF, Anstey KJ. Dementia literacy: recognition and beliefs on dementia of the Australian public. Alzheimers Dement. 2009;5(1):43–9. pmid:19118808