Summary: A new study strengthens previous research that claims performing cognitive tasks later in life may reduce the risk of developing dementia.
Source: Mass General.
Bias analysis shows any confounding factors not enough to account for benefits found in previous studies.
Are there any ways of preventing or delaying the development of Alzheimer’s disease or other forms of age-associated dementia? While several previously published studies have suggested a protective effect for cognitive activities such as reading, playing games or attending cultural events, questions have been raised about whether these studies reveal a real cause-and-effect relationship or if the associations could result from unmeasured factors. To address this question, a Boston-based research team conducted a formal bias analysis and concluded that, while potentially confounding factors might have affected previous studies’ results, it is doubtful that such factors totally account for observed associations between cognitive activities and a reduced risk of dementia.
“Our paper lends support to a potential role for late-in-life cognitive activity in prevention of Alzheimer’s disease,” says Deborah Blacker MD, ScD, director of the Gerontology Research Unit in the Massachusetts General Hospital Department of Psychiatry and senior author of the report in the September issue of the journal Epidemiology. “While it is possible that socioeconomic factors such as educational level might contribute to the association between cognitive activity and reduced risk, any bias introduced by such factors is probably not strong enough to fully account for the observed association.”
Blacker and her colleagues from Harvard T.H. Chan School of Public Health maintain a database on the Alzheimer’s Research Forum website cataloging evidence from observational studies and some clinical trials about known and proposed risk and protective factors for the devastating neurologic disorder. The current paper was developed from the database’s systematic review of studies examining the impact of cognitive activity, conducted by lead author Guatam Sajeev, ScD, as part of his Harvard Chan school dissertation.
The research team analyzed 12 peer-reviewed epidemiologic studies that examined the relationship between late-in-life cognitive activities and the incidence of Alzheimer’s disease or other forms of dementia. The studies were selected on the basis of prespecified criteria for the AlzRisk database, included almost 14,000 individual participants and consistently showed a benefit, sometimes substantial, for cognitive activity.
Since any observational studies are likely to be confounded by unmeasured factors – such as participants’ socioeconomic level or the presence of conditions like depression – the researchers also conducted a bias analysis designed to evaluate how much such factors might influence reported associations between the amount of cognitive activity and dementia risk. This analysis indicated that bias due to unmeasured factors was unlikely to account for all of the association because the impact of such factors is likely to be considerably smaller than the observed effect.
The group also investigated the possible role of reverse causation – whether a reduction in cognitive activity among those already in the long phase of cognitive decline that precedes Alzheimer’s dementia might have led to an apparent rather than a real causal relationship. The findings of that analysis could not rule out the possibility that reverse causation contributed substantially to the observed associations, but analyses restricted to studies with longer term follow-up might be better able to address this question, the authors note.
“Ultimately, clinical trials with long-term follow-up are the surest way to definitively address reverse causation,” says co-author and AlzRisk co-director Jennifer Weuve, MPH, ScD, of Boston University School of Public Health. “Trials could also confront the vexing question of whether training to improve specific cognitive skills has benefits that extend into everyday functions. But not every question about cognitive activity is well-suited for a trial. To fill those gaps, innovations in epidemiology, such as the analytic techniques used in this study, should help us get even greater insights from available observational data.”
Blacker adds, “Cognitive activity looks like it may offer some modest protection, and based on our bias analysis, I am somewhat less skeptical than I was previously. But remember that any impact will be relative, not absolute. I typically advise people to engage in cognitive activities that they find interesting and enjoyable for their own sake. There is no evidence that one kind of activity is better than another, so I would advise against spending money on programs claiming to protect against dementia.”
Blacker is also a professor in the Department of Epidemiology at Harvard Chan School and a professor of Psychiatry at Harvard Medical School. Along with lead author Sajeev and Weuve, co-authors of the Epidemiology paper are John Jackson, ScD, and Tyler VanderWeele, PhD, Harvard Chan School; Francine Grodstein, ScD, Harvard Chan School and Brigham and Women’s Hospital; and David Bennett, MD, Rush University School of Medicine.
Funding: Support for the study includes National Institutes of Health grants R21 ES020404, P50 AG005134 and R01 ES017876; grants from Fidelity Biosciences and the Alzheimer’s Association, and a doctoral foreign study award from the Canadian Institutes of Health Research.
Source: Terri Ogan – Mass General
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Original Research: Abstract for “Late-life Cognitive Activity and Dementia: A Systematic Review and Bias Analysis” by Sajeev, Gautam; Weuve, Jennifer; Jackson, John W.; VanderWeele, Tyler J.; Bennett, David A.; Grodstein, Francine; and Blacker, Deborah in Epidemiology. Published online August 2016 doi:10.1097/EDE.0000000000000513
Late-life Cognitive Activity and Dementia: A Systematic Review and Bias Analysis
Background: Engaging in late-life cognitive activity is often proposed as a strategy to delay or prevent Alzheimer’s disease (AD) and other dementias. However, it is unclear to what extent the available evidence supports a causal effect of cognitive activity in dementia prevention.
Methods: We systematically searched PubMed and EMBASE through June 2014 to identify peer-reviewed epidemiologic studies of cognitive activity and incidence of AD or all-cause dementia. Eligible articles analyzed data from cohort or nested case–control studies, explicitly defined cognitive activity, evaluated participants for AD or all-cause dementia using clearly defined criteria, and provided effect estimates adjusted for at least age and sex. We describe methodologic issues and biases relevant to interpretation of these studies, and quantify the degree of bias due to confounding and reverse causation required to nullify typically observed associations.
Results: We reviewed 12 studies involving 13,939 participants and 1,663 dementia cases, of which 565 were specifically evaluated as AD. Most studies found associations between late-life cognitive activity and lower AD and/or all-cause dementia incidence. Differences in cognitive activity operationalization across studies precluded meta-analysis of effect estimates. Our bias analysis indicated that the observed inverse associations are probably robust to unmeasured confounding, and likely only partially explained by reverse causation.
Conclusion: Our systematic review and bias analyses provide support for the hypothesis that late-life cognitive activity offers some reduction in AD and all-cause dementia risk. However, more data are needed to confirm this relationship and on the optimal type, duration, intensity, and timing of that activity.
“Late-life Cognitive Activity and Dementia: A Systematic Review and Bias Analysis” by Sajeev, Gautam; Weuve, Jennifer; Jackson, John W.; VanderWeele, Tyler J.; Bennett, David A.; Grodstein, Francine; and Blacker, Deborah in Epidemiology. Published online August 2016 doi:10.1097/EDE.0000000000000513