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Recently, the concept of motoric cognitive risk (MCR) syndrome was proposed, where slow gait is considered a risk factor for conversion to dementia.
To retrospectively investigate the characteristics of MCR among a population aged 75+ years, focusing on the aspects of epidemiology and neurobehavioral characteristics.
The participants were 590 residents aged 75+ years living in Kurihara who underwent MRI and neurobehavioral assessments including walking velocity. The prevalence of MCR and conversion to dementia (AD8 Dementia Screening Interview cutoff 2/8), together with the neurobehavioral characteristics of the MCR group, were analyzed.
The prevalence was 11.1%, and the conversion ratio in the MCR group was higher than that in the non-MCR group (OR = 1.38). The MCR group had lower scores on the executive function test as well as gait velocity.
The MCR syndrome increases the rate of conversion to dementia, and both slow gait and lower scores in executive tests, which are ‘frontal-based’ functions, are predictive of higher rates of conversion to dementia.
The detection of older residents in the community with mild cognitive impairment that convert to dementia is important when establishing health policies to provide early intervention and prevent further decline to dementia. Neuropsychological tests administered by testers much younger than these older residents may lead to a stressful psychological burden, and the impact of lower educational levels on the test results  may also make interpretation difficult. One alternative is the use of an observational method such as Clinical Dementia Rating (CDR) [2,3]. However, the method requires reliable collateral information from the families, and the recent social situation of an increasing number of older adults living alone could prevent the obtainment of reliable information.
Recently, Verghese et al. [4,5] proposed the concept of motoric cognitive risk (MCR) syndrome, which is composed of: (1) cognitive complaints; (2) slow gait, defined as speed 1 SD or more below the age- and sex-matched appropriate mean values in the same cohort; (3) preserved activities of daily life, and (4) absence of dementia. They maintained that older residents whose test scores might be affected by low education could be assessed by the simple method of walking; people who cannot culturally accept neuropsychological tests, or people living alone, are considered for such an evaluation. They found that the people with MCR syndrome showed a higher rate of conversion to dementia.
The neuroepidemiologic (prevalence and rate of conversion to dementia) and neurobehavioral characteristics of MCR syndrome among older adults should be confirmed; however, there has been very limited research with respect to this kind of integrative viewpoint.
We previously performed a community-based study on stroke, dementia, and prevention of confinement to bed in an old-old population aged 75+ years living in the city of Kurihara, Miyagi Prefecture, northern Japan [6,7]. This is a typical agricultural area with a total population of 78,773, and there were 1,254 individuals aged 75+ years in 2008.
The purpose of the current study was to investigate the characteristics of MCR syndrome in this population aged 75+ years using the retrospective database of the Kurihara Project, particularly focusing on (1) neuroepidemiology, i.e., prevalence and rate of conversion to dementia, and (2) neurobehavioral characteristics. This is the first neuroepidemiologic and neurobehavioral study on MCR syndrome in Japan.
Figure Figure11 presents the study design. The methodology has been described previously . Briefly, 590 participants from among the target population of 1,254 individuals (47% response rate) underwent CDR assessment, neurobehavioral testing, and MRI scanning. Of the 590 participants, 223, 293, and 74 were diagnosed as CDR 0 (healthy), CDR 0.5 (questionable dementia), and CDR 1+ (dementia), respectively. The subjects with MCR syndrome (no dementia) were considered to be among the CDR 0 and 0.5 population; thus, 516 (223 + 293) people were targeted for the cross-sectional study (see sections Neuroepidemiologic Features and Neurobehavioral Characteristics). For the follow-up study, 474 people were examined.
General cognitive function was assessed using the Mini-Mental State Examination (MMSE) , and executive function was evaluated using the Trail Making Test (TMT)-A and the digit symbol substitution test. We considered that executive function was associated with MCR syndrome; thus, no intensive memory tests (e.g., the full version of the Wechsler Memory Scale-Revised) were performed.
According to the protocol of the Kurihara Project, we asked the participants to walk as fast as possible for 6 m. We asked the participants to walk 2 times, and the mean value was used for the analyses.
The prevalence rate of MCR syndrome was calculated retrospectively from the database of the Kurihara Project. Regarding the rate of conversion to dementia, unfortunately the situation in the city prevented us from performing an incidence study on the same cohort in Kurihara. Thus, we decided to send the AD8 Dementia Screening Interview (AD8) [10,11] questionnaire to the participants in the prevalence study by mail. The cutoff for the AD8 was 2/8 .
Since the time interval between the prevalence study and follow-up with the AD8 questionnaire ranged from 3 to 5 years, we applied the person-year method when calculating the rate of conversion to dementia. Since the CDR is an established method of classifying people into healthy subjects (CDR 0) and those with a borderline condition (CDR 0.5), with the latter including converters to dementia, a CDR-versus-MCR group analysis was also performed to assess converters to dementia.
After classifying the participants into two groups, i.e., an MCR and a non-MCR group, neurobehavioral differences were analyzed. For executive function, one-way ANCOVA with the covariate of MMSE was used.
When evaluating the neurological background of the MCR syndrome, the subjects were classified into four groups at baseline (prevalence data), i.e., CDR 0, CDR 0.5-very mild Alzheimer's disease (AD), CDR 0.5-very mild subcortical vascular dementia (SVD), and other CDR 0.5.
The very mild AD group met the all of the following criteria: (1) the total CDR was 0.5, with the CDR domain of memory being 0.5 as well; (2) no neurological symptoms; (3) with or without executive dysfunction, and (4) no CVD with or without white matter changes as assessed with FLAIR MRI. The presence of executive dysfunction was defined here as a time 1 SD longer (in seconds) to complete the TMT-A, more than 300 s to complete the TMT-B, or incomplete results.
Very mild SVD was defined as follows: (1) the total CDR was 0.5, with the CDR domain of memory being 0.5 as well; (2) positive neurological symptoms; (3) presence of executive dysfunction, and (4) presence of CVD or white matter changes as assessed with FLAIR MRI. The criteria were modified from those of Erkinjuntti et al. .
The prevalence of MCR syndrome was calculated to be 11.1% (9.5% for men, 12.1% for women) among the old-old population aged 75+ years of this study. This rate was consistent with the findings of Verghese et al. : among the older adults aged 60+ years (n = 26,802), the prevalence was 9.7% (95% CI: 8.2-11.2), and among those aged 75+ years (n = 8,651), the prevalence was 10.6% (95% CI: 9.0-12.3).
Effective responses were obtained from 299 participants of the initial population of 474 (63.1%). Table Table11 presents the rates of conversion to dementia for the MCR group versus the non-MCR group. Both groups showed high conversion rates, even though that of the MCR group was higher than that of the non-MCR group.
Table Table22 presents the neurobehavioral characteristics of the MCR and non-MCR groups. The MCR group had a lower level of education, lower scores on the executive function test (TMT-A and digit symbol substitution test), and reduced gait velocity.
Before discussing the results, there are some methodological issues to note.
The original criteria by Verghese et al. [4,5] involved the following: (1) ‘cognitive complaints’ utilized the CERAD, the Albert Einstein Health Self-Assessment Form, and 1 item from the GDS-15; (2) ‘slow gait’ took into consideration the normal gait speed as assessed with the mean ± 1 SD without dementia or disability of ADL; (3) ‘preserved ADL’ involved no disability (inability or requiring assistance in performing ADL), and (4) ‘absence of dementia’ was based on the DSM-IV. Because the Kurihara Project database was utilized, we had no choice but to use maximum speed for criterion 2. While this was different from the original criterion, we considered that maximum gait speed would be better than normal gait speed to elucidate the difference between healthy aging and MCR syndrome. Healthy older adults may walk at a slow pace; however, they are able to walk at maximum speed when requested.
As described earlier, we had to use the AD8 questionnaire instead of conducting an incidence study. The 299 participants of the original 1,200+ subjects considered for the incidence analysis might supposedly have introduced a selection bias. Furthermore, we applied the person-year method for calculating the rate of conversion to dementia, since the interval between the prevalence study and the follow-up questionnaire ranged from 3 to 5 years. The AD8 has been reported as a good indicator of mild cognitive impairment and dementia. Thus, we considered that the results would provide useful information as to the risk of dementia in MCR subjects.
The prevalence of MCR syndrome calculated herein was consistent with the findings of Verghese et al. [4,5], despite the difference in diagnostic criteria. The results regarding incidence rates were also consistent with the previous findings. The fact that these measures were similar supports the validity of the clinical diagnosis of MCR syndrome.
What we describe as ‘general cognitive function’, as frequently assessed with the MMSE, is considered not to be ‘general’ but language-based cognitive function. While the left hemisphere is believed to be utilized, exercise or walking control is based on the frontal part of the brain. In this sense, the finding that similar ‘frontal-based’ executive function was associated with maximum gait velocity is considered reasonable.
For neuropsychological testing, we usually take the digit symbol substitution test or TMT-A/B as executive function tests, which focus on the upper extremities. We consider maximum gait velocity to represent executive function using the lower extremities; thus, we should explicitly control gait in order to maximize the potential competence level, together with controlling for risks such as falling.
The lack of a difference in the distribution of CDR 0, very mild AD, very mild SVD, and other CDR 0.5 between the MCR and the non-MCR group indicates that MCR syndrome has no specific neuropathological background. Although we did not diagnose the dementing diseases at the outset of administering the AD8 questionnaire, we did not demonstrate any predominance of vascular lesions among the subjects with MCR syndrome. Three reasons are considered. Firstly, since the diagnostic criterion of Verghese et al. [4,5] for vascular dementia was the DSM-IV, which may include AD with CVD among vascular dementia, overdiagnosis might have occurred . Secondly, subjects with very mild AD also exhibited executive dysfunction, which met the criterion for MCR syndrome. Thirdly, subjects with very mild SVD easily manifest apathy and might withdraw from the community . Further investigation is necessary to elucidate these points.
As described earlier, neuropsychological testing may lead to a stressful psychological burden, and the impact of lower educational level on test results may also make their interpretation difficult. An observational method requires reliable collateral information from the families, and the recent social situation of an increasing number of older adults living alone could prevent the obtainment of reliable information. Our findings suggest that the concept of MCR syndrome has clinical utility, since the syndrome increases the rate of conversion to dementia. Both slow gait and lower scores in executive tests, which are ‘frontal-based’ functions, are predictive of higher rates of conversion to dementia.