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Maintaining long-term adherence to lifestyle interventions for cognitive health in late life

Published online by Cambridge University Press:  25 September 2012

Linda Chiu Wa Lam
Affiliation:
Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong, SARPR China Email: [email protected]
Sheng Tak Cheng
Affiliation:
Department of Psychological Studies, The Hong Kong Institute of Education, Hong Kong, SAR PR China

Extract

Long life expectancy is associated with a higher chance of experiencing cognitive impairment in a lifespan. It is well recognized that multiple factors play important roles in the maintenance of cognitive health when one gets older. While the mechanisms of neurodegeneration are complex, it is encouraging to note that simple healthy lifestyles maintained over time may modulate the rate of degeneration or buffer its effects when it becomes inevitable.

Type
Guest Editorial
Copyright
Copyright © International Psychogeriatric Association 2012

Long life expectancy is associated with a higher chance of experiencing cognitive impairment in a lifespan. It is well recognized that multiple factors play important roles in the maintenance of cognitive health when one gets older. While the mechanisms of neurodegeneration are complex, it is encouraging to note that simple healthy lifestyles maintained over time may modulate the rate of degeneration or buffer its effects when it becomes inevitable.

Accumulating evidence suggests that active pursuit of physical exercise and cognitive activities offer protective effects against cognitive decline and development of dementia (Valenzuela and Sachdev, Reference Valenzuela and Sachdev2009; Leung et al., Reference Leung2011; Sofi et al., Reference Sofi2011). The protective effects appear to continue from early until late life (Richard and Deary, Reference Richards and Deary2005). As a step toward translation of observations from epidemiologic data, large-scale clinical trials have been conducted, or are underway, to determine whether lifestyle intervention would benefit older adults at risk of developing cognitive disorders (Lautenschlager et al., Reference Lautenschlager2008; Gillette-Guyonnet et al., Reference Gillette-Guyonnet2009; Richard et al., Reference Richard2009). International collaborative efforts are playing pivotal role in offering advice and guidelines for successful intervention (Richard et al., Reference Richard2012). Issues related to modality, intensity, and outcome measures have attracted much attention. A relatively under-discussed topic, however, is adherence issues. To offer health benefits, interventions should be targeted toward long-term maintenance and a sustained personal lifestyle modification (Fappa et al., Reference Fappa, Yannakoulia, Pitsavos, Skoumas, Valourdou and Stefanadis2008).

Barriers to practice

An active and continuous pursuit for a healthy state is an ideal that applies only to a minority of the conscientious health seekers. For most, an insight into the need for treatment of a disease condition to avoid discomfort and disabilities is probably the major driving force for compliance. Lifestyles are relatively enduring patterns of behaviors developed since early years and shaped by cultural and social background. Any change will require a breaking up of habitual routines and knowledge about health is often not translated into actions. Public education programs may raise consciousness at the population level, but not necessarily lead to behavioral change (Cheng et al., Reference Cheng2011). The beneficial effects of cognitive preservation may not be obvious enough to serve as a reinforcer for continuous practice. Intervention studies on lifestyle modification for cardiovascular health and chronic diseases suggested that factors such as peer support, age, health status, self-efficacy, cognitive and mental conditions were facilitators and barriers to intervention (Jackson et al., Reference Jackson2009; Leijon et al., Reference Leijon, Faskunger, Bendtsen, Festin and Nilsen2011; Griffo et al., Reference Griffo2012). It is also recognized that positive effects may cease after intervention stops, especially when supervised practice is no longer available (Lam et al., Reference Lam2010). These issues are equally important for brain health maintenance.

The cognitive reserve hypothesis relates lifestyle interventions in dementia prevention to cognitive and physical activities. Increasing research aims to explore the protective neural responses associated with cognitive and physical exercise intervention (Tucker and Stern, Reference Tucker and Stern2011; Steffener and Stern, Reference Steffener and Stern2012). It is likely that a level of intensity of practice has to be reached before neuronal activities are affected and cognitive benefits evident. At present, most brain health interventions are developed for older adults. Frailty and advanced age may limit activity level and affect practice involving great physical strength. Discovering the optimal intensity of physical activity for older adults with different health conditions would be an important agenda for future research. Even for healthy older adults, long-term adherence to exercise training may be affected by medical conditions that disrupt the practice. Interventions in midlife may bring greater beneficial effects, but an undetermined outcome that lies years ahead requires personal determination to succeed.

The mental and cognitive states of older adults also influence adherence. Although people with mild to moderate cognitive impairments do respond to physical and mental activity interventions (Lam et al., Reference Lam2012; Cheng et al., in press), the motivation for participation may be affected by mood disturbances such as apathy and depression. It is, however, important to recognize that these non-cognitive symptoms also respond to interventions that encourage an active lifestyle (Williams and Tappen, Reference Williams and Tappen2008). Considerations have to be made to recruit participants who are reluctant to participate due to mood disturbances. Another important concern is the ability for older adults to manage the new lifestyle routine. Close supervision to ensure adherence will be of primary significance in subjects with mild cognitive impairment and preclinical dementia, when executive function and memory impairments have already manifested. For home-based programs, regular outreach contacts from designated staff would be helpful in building up rapport and reduce dropouts. The involvement of family members would also be beneficial in facilitating adherence. Interventions carried out at social centers for older adults encourage social support and mutual sharing. Although this may have positive biases toward the more active participants, it may serve as an anchor point to attract the more passive and withdrawn people at risk of cognitive impairments. Staff at centers may also provide key roles in monitoring adherence to interventions and help to integrate lifestyle changes into long-term habits.

Optimizing adherence

Program designs are important determinants of successful lifestyle interventions. The content should be hypothesis driven, user friendly, and sufficiently appealing for integration into everyday leisure profile. Some cognitive training programs that utilize uninteresting stimuli may not be as effective as leisure activities that are pleasantly engaging. Considered as an intervention, there should also be clear rationale in the selection of modality and content that can be subject to hypothesis testing. The understanding of therapeutic elements will enable development of refined programs enriched with only essential components to optimize effect sizes. Program design may, however, make reference to the socio-economic background of participants, and should be culturally appropriate for ready acceptance by the majority. For example, the utilization of indigenous exercise styles in different ethnic groups will facilitate higher participation than the simple adoption of standard aerobic exercise reported in the literature (Oken et al., Reference Oken2006; Lam et al., Reference Lam2012). While many more data are required to examine the neural basis of different lifestyle intervention, one also needs to identify a suitable curriculum for cognitive enhancement. Participation is likely to be enhanced if program complexity is adjusted to the changing needs of the individual when physical and cognitive status varies.

Other than the above, self-efficacy has been considered as one of the major motivational factors in both initial commitment and long-term maintenance of lifestyle modification. For older adults with a sedentary lifestyle as well as declining physical resources, the sense of being able to master a physical exercise program could be challenging. Similarly, the ability to enroll into cognitively demanding activities may appear unapproachable for people with a deprived educational background and a certain degree of cognitive impairment. Self-efficacy training may be enhanced through performance accomplishments, vicarious learning, verbal encouragement, and attention to physiological and affective states (Lee et al., Reference Lee, Arthur and Avis2008). A perspective from the cognitive behavioral approach may be integrated into the intervention programs. It will be crucial that program details offer accurate but positive feedback to enable participants to appreciate that progress, no matter how small. Self-efficacy in memory function should be addressed and enhanced through training to appreciate changes in cognitive and emotional well-being accomplished through lifestyle intervention. As the natural course of aging will be more toward a deteriorating path, continuous appraisal of small improvement or stabilization throughout the training period will require professionals to be sufficiently sensitive and equipped with required psychotherapeutic skills. Mindfulness-based cognitive approaches may also be considered as suitable alternatives (Williams and Kuyken, Reference Williams and Kuyken2012). As continuous improvement will not be the main focus, the emphasis on the present moment with appreciation of the self and the environment may help to foster self-efficacy and attenuate mood symptoms. The effectiveness of integrating psychotherapeutic principles into lifestyle interventions should be examined in future research, in particular the effect on adherence beyond the designated intervention period.

Conclusions

The long-term goals of lifestyle interventions, besides promoting health in general, would be for optimizing brain reserve and enhancing cognitive function. The commitment for change will demand adequate appreciation of potential benefits and a determination for better health state in later life. Barriers to engagement and adherence are major hindrance to success. A more thorough exploration of facilitators in intervention trials should be considered and its impact on long-term clinical outcomes evaluated.

Conflict of interest

None.

References

Cheng, S. T.et al. (2011). The effects of exposure to scenarios about dementia on stigma and attitudes toward dementia care in a Chinese community. International Psychogeriatrics, 17, 19.Google Scholar
Cheng, S. T.et al. (in press). Mental and physical activities delay cognitive decline in older persons with dementia. American Journal of Geriatric Psychiatry.Google Scholar
Fappa, E., Yannakoulia, M., Pitsavos, C., Skoumas, I., Valourdou, S. and Stefanadis, C. (2008). Lifestyle intervention in the management of metabolic syndrome: could we improve adherence issues? Nutrition, 24, 286291.CrossRefGoogle ScholarPubMed
Gillette-Guyonnet, S.et al. (2009). Commentary on “A roadmap for the prevention of dementia II. Leon Thal Symposium 2008.” The Multidomain Alzheimer Preventive Trial (MAPT): a new approach to the prevention of Alzheimer's disease. Alzheimer's Dementia, 5, 114121.CrossRefGoogle Scholar
Griffo, R.et al. (2012). Effective secondary prevention through cardiac rehabilitation after coronary revascularization and predictors of poor adherence to lifestyle modification and medication. Results of the ICAROS survey. International Journal of Cardiology, May 8 [Epub ahead of print].Google Scholar
Jackson, J.et al. (2009). Confronting challenges in intervention research with ethnically diverse older adults: the USC Well elderly II Trial. Clinical Trials, 6, 90101.CrossRefGoogle ScholarPubMed
Lam, L. C.et al. (2010). Effectiveness of an individualized functional training program on affective disturbances and functional skills in mild and moderate dementia – a randomized control trial. International Journal of Geriatric Psychiatry, 25, 133141.CrossRefGoogle ScholarPubMed
Lam, L. C.et al. (2012). A 1-year randomized controlled trial comparing mind body exercise (Tai Chi) with stretching and toning exercise on cognitive function in older Chinese adults at risk of cognitive decline. Journal of American Medical Directors’ Association, 13, 568.e1520.Google ScholarPubMed
Lautenschlager, N. T.et al. (2008). Effect of physical activity on cognitive function in older adults at risk for Alzheimer disease: a randomized trial. Journal of the American Medical Association, 300, 10271037.CrossRefGoogle ScholarPubMed
Lee, L. L., Arthur, A. and Avis, M. (2008). Using self-efficacy theory to develop interventions that help older people overcome psychological barriers to physical activity: a discussion paper. International Journal of Nursing studies, 45, 16901699.CrossRefGoogle ScholarPubMed
Leijon, M. E., Faskunger, J., Bendtsen, P., Festin, K. and Nilsen, P. (2011). Who is not adhering to physical activity referrals, and why? Scandinavian Journal of Primary Health Care, 29, 234240.CrossRefGoogle Scholar
Leung, G. T.et al. (2011). Examining the association between late-life leisure activity participation and global cognitive decline in community-dwelling elderly Chinese in Hong Kong. International Journal of Geriatric Psychiatry, 26, 3947.CrossRefGoogle ScholarPubMed
Oken, B. S.et al. (2006). Randomized, controlled, six-month trial of yoga in healthy seniors: effects on cognition and quality of life. Alternative Therapy and Health Medicine, 12, 4047.Google ScholarPubMed
Richard, E.et al. (2009). Prevention of dementia by intensive vascular care (PreDIVA): a cluster-randomized trial in progress. Alzheimer Disease and Associated Disorders, 23, 198204.CrossRefGoogle ScholarPubMed
Richard, E.et al. (2012). Methodological challenges in designing dementia prevention trials: The European Dementia Prevention Initiative (EDPI). Journal of Neurological Science, Jul 18 [Epub ahead of print].CrossRefGoogle Scholar
Richards, M. and Deary, I. J. (2005). A life course approach to cognitive reserve: a model for cognitive aging and development? Annals of Neurology, 58, 617622.CrossRefGoogle Scholar
Sofi, F.et al. (2011). Physical activity and risk of cognitive decline: a meta-analysis of prospective studies. Journal of Internal Medicine, 269, 107117.CrossRefGoogle ScholarPubMed
Steffener, J. and Stern, Y. (2012). Exploring the neural basis of cognitive reserve in aging. Biochimica et Biophysica Acta, 1822, 467473.CrossRefGoogle ScholarPubMed
Tucker, A. M. and Stern, Y. (2011). Cognitive reserve in aging. Current Alzheimer Research, 8, 354360.CrossRefGoogle ScholarPubMed
Valenzuela, M. and Sachdev, P. (2009). Can cognitive exercise prevent the onset of dementia? Systematic review of randomized clinical trials with longitudinal follow-up. American Journal of Geriatric Psychiatry, 17, 179187.CrossRefGoogle ScholarPubMed
Williams, C. L. and Tappen, R. M. (2008). Exercise training for depressed older adults with Alzheimer's disease. Aging and Mental Health, 12, 7280.CrossRefGoogle ScholarPubMed
Williams, J. M. and Kuyken, W. (2012). Mindfulness-based cognitive therapy: a promising new approach to preventing depressive relapse. British Journal of Psychiatry, 200, 359360.CrossRefGoogle ScholarPubMed