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Superior Sensory, Motor, and Cognitive Performance in Elderly Individuals with Multi-Year Dancing Activities

aging dance successful aging plasticity neurotrophic factors intervention seniors enriched environment

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#1 Engadin

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Posted 03 August 2020 - 12:24 PM


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O P E N   A C C E S S   S O U R C E :   Frontiers in Aging Neuroscience

 

 

 

 

 

 

Abstract
 
Aging is associated with a progressive decline of mental and physical abilities. Considering the current demographic changes in many civilizations there is an urgent need for measures permitting an independent lifestyle into old age. The critical role of physical exercise in mediating and maintaining physical and mental fitness is well-acknowledged. Dance, in addition to physical activity, combines emotions, social interaction, sensory stimulation, motor coordination and music, thereby creating enriched environmental conditions for human individuals. Here we demonstrate the impact of multi-year (average 16.5 years) amateur dancing (AD) in a group of elderly subjects (aged 65–84 years) as compared to education-, gender- and aged-matched controls (CG) having no record of dancing or sporting activities. Besides posture and balance parameters, we tested reaction times, motor behavior, tactile and cognitive performance. In each of the different domains investigated, the AD group had a superior performance as compared to the non-dancer CG group. Analysis of individual performance revealed that the best participants of the AD group were not better than individuals of the CG group. Instead, the AD group lacked individuals showing poor performance, which was frequently observed for the CG group. This observation implies that maintaining a regular schedule of dancing into old age can preserve cognitive, motor and perceptual abilities and prevent them from degradation. We conclude that the far-reaching beneficial effects found in the AD group make dance, beyond its ability to facilitate balance and posture, a prime candidate for the preservation of everyday life competence of elderly individuals.
 
 
Introduction
 
Aging is associated with a progressive decline of perception, motor behavior, cognition and memory functions (Willis, 1987; Mayer and Baltes, 1996; Krampe, 2002; Dinse, 2006; Persson et al., 2006; Dinse et al., 2009), which is paralleled by a general decline of physical fitness (Buchner et al., 1996; Samson et al., 2000; Singh et al., 2006). Conceivably, under these conditions, the preservation of everyday life competence and thus the maintenance of independent living are at severe risk. In particular, impaired mental and physical capacities increase the risk of falling with massive burden for the individual and the society (Lajoie and Gallagher, 2004; Filiatrault et al., 2009). Therefore, given the dramatic demographic changes of industrialized countries characterized by an increasing probability of reaching old and very old age, there is an urgent need for measures permitting an independent lifestyle into old age. Maintenance of independence in elderly individuals has been linked to the concept of “successful aging”, describing an avoidance of disease and disability, a maintenance of high physical and cognitive function, and a sustained engagement in social and productive activities (Rowe and Kahn, 1997). In fact, in healthy elderly individuals there is a close association between physical fitness and cognitive performance (Colcombe et al., 2004; Schaefer et al., 2006; Sumic et al., 2007). Consequently, many studies in elderlies have shown that improving aerobic capacities through physical exercise programs has beneficial effects on cognitive performance (Kramer et al., 1999; Colcombe et al., 2006; Deley et al., 2007; Sumic et al., 2007; Hillman et al., 2008; Voelcker-Rehage et al., 2010).
 
Animal research on the effects of physical exercise suggests a crucial involvement of brain-derived neurotrophin factors and other nerve growth factors (Neeper et al., 1995; Churchill et al., 2002), which play a fundamental role in control and maintenance of synaptic connections and plasticity. On the other hand, it is now well-documented that age-related changes are not a simple reflection of degenerative processes, but a complex mix of plastic and adaptive and compensatory mechanisms (Godde et al., 2002; Dinse, 2006; Persson et al., 2006; David-Jürgens et al., 2008), suggesting that brain plasticity is operational into old age. Therefore, new strategies for interventions such as training, exercising, practicing and stimulation, which make use of neuroplasticity principles, have been developed to maintain health and functional independence throughout lifespan. The effectiveness of stimulation and training procedures to ameliorate cortical and behavioral age-related degradation implies that aging effects are not irreversible but treatable (Bock and Schneider, 2002; Sawaki et al., 2003; Dinse, 2005; Dinse et al., 2005, 2006; Mahncke et al., 2006; Boyke et al., 2008; Kalisch et al., 2008, 2010).
 
Several years ago, we demonstrated that housing aged rats under enriched environmental conditions delayed and ameliorated age-related deterioration of brain organization and sensorimotor behavior (Hilbig et al., 2002, 2007; Dinse, 2006). Environmental enrichment of this type is believed to present animals with increased sensory, motor, and cognitive demands thereby enforcing physical exercise together with neuroplasticity processes. Given the fact that enriched environmental housing is a powerful tool to ameliorate age-related changes in rats, we proposed that dance represents an equivalent for enriched environmental conditions in humans since it comprises – beyond requirements for physical activity, rhythmic motor coordination, balance and memory – emotions, affection, social interaction, acoustic stimulation, and musical experience. In fact, using positron emission tomography has been shown recently that dancing elicits multisite brain activations (Brown et al., 2006) implicating the involvement of wide-spread interacting brain networks. Moreover, as dancing can be performed at any level, which encourages regular and continued participation, it has a great appeal to many people resulting in a high compliance with little drop-outs.
 
For many of these reasons, dance has been established as a therapeutic tool for the treatment of Parkinson's disease (Fallik, 2007; Earhart, 2009; Hackney and Earhart, 2009), dementia (Palo-Bengtsson and Ekman, 2002; Hokkanen et al., 2008), overweight children (Murphy et al., 2009) and patients with serious mental illness (Hackney and Earhart, 2010).
 
Most studies employing dancing as an intervention in elderly focused on improvement of cardiovascular parameters, muscle strength and of posture and balance (Hopkins et al., 1990; Estivill, 1995; Adiputra et al., 1996; Crotts et al., 1996; Shigematsu et al., 2002; Federici et al., 2005; Hui et al., 2008; Kreutz, 2008; Zhang et al., 2008; Sofianidis et al., 2009), with few studies addressing cognitive abilities (Verghese, 2006; Alpert et al., 2009). We here went one step further by hypothesizing that long-year dancing activity in an elderly population should promote general advantages including preservation of cognitive, motor and sensorimotor performance as well as perceptual abilities. This assumption was based on the one hand on far-reaching beneficial effects observed in aged rats under enriched environmental conditions, on the other hand, we expected a synergistic action of maintained physical exercise together with the impact of neuroplasticity mechanisms through principles of maintained sensory stimulation and maintained use. We therefore studied the impact of multi-year regular ballroom dancing in a group of neurologically healthy elderly subjects (amateur dancing; AD) in comparison to a passive control group (CG). Besides the recording of posture and balance parameters, we extended the assessment to measurements of cognitive, attentional, intellectual, perceptual and sensorimotor performance with the aim to cover basic measures of sensory and motor performance as well as rather complex tasks with higher cognitive demands. We found that in each of the different levels investigated, the AD group showed a superior performance as compared to the non-dancer CG indicating far-reaching beneficial effects of dancing beyond aspects of balance and posture.
 
 
Materials and Methods
 
Subjects
 
A total of 62 healthy elderly volunteers (61–94 years) participated in our study. Subjects were recruited by advertisements in newspapers, poster-announcements and word-of-mouth advertising and agreed to report their medical history, actual medication and underwent the Mini Mental Status Examination (MMSE) (Folstein et al., 1975), to test for dementia. The amateur dancer group (AD) (n = 24, 19 female, 71.69 ± 1.15 years) had a longtime history of amateur dancing (16.5 ± 12.7 years) with an average performing workload of 1.33 ± 0.24 h per week. The non-dancer CG consisted of 38 subjects (71.66 ± 1.13 years, 30 female) having no record of either dancing or sporting activities. The age-distribution (p = 0.859) and education level (number of school years, p = 0.603) of subjects across the groups was balanced. All subjects gave their written informed consent before participating. The study was approved by the local Ethics Committee of the Ruhr-University of Bochum.
 
 
Everyday competence
 
Lifestyle and general activity levels were assessed using the custom-made Everyday Competence Questionnaire” (ECQ, unpublished) addressing aspects of everyday life like independence in activities of daily living and mobility, social relations, general health status and life contentment. The compilation of questions used in the ECQ accounts for changed living conditions of today's seniors. The ECQ consisted of 17 items with one specific question per item characterizing so-called instrumental activities of daily living (IADL) such as housekeeping, daily routine, manual skills, mobility, sports, subjective well-being, linguistic abilities and leisure time activities (Willis, 1987). These domains are not necessary for fundamental functioning, but they let an individual live independently in a community.
 
All subjects were asked to additionally comment on the questions as detailed as possible thereby allowing insight in their habits and living conditions. The answers were converted in scores according to an item-specific scale. Item 17 (“fluency of speech”) was exclusively based on the rating of the experimenter. Altogether subjects could achieve 0 to 54 points. The scores were normalized to a scale from 0 to 1 by dividing the number of points achieved by a subject with the maximum possible scores per item.
 
 
Cognitive performance
 
General intelligence was assessed using the Raven Standard Progressive Matrices (RSPM), a non-reading, non-language based measure of fluid intelligence (Raven, 1938). The test was administered according to standard instructions with a 30-min time constraint. In the CG, the RSPM was conducted in a pre/post design to provide data for a separate study. Therefore, for both groups we here used odd-numbered items only. In addition, the non-verbal geriatric concentration test (AKT) was run to assess selective attention and concentration (Gatterer, 1990). For this paper-and-pencil test, subjects had to mark 20 symbols out of 55 similar looking patterns within a time-limit of 30 s. After an initial training session, three consecutive sessions were run and averaged for evaluating individual performance.
 
 
Multiple-choice reaction time measurement (RT)
 
We performed multiple-choice reaction time measurements in a finger selection visuo-tactile task as adopted from Alegria and Bertelson (1970). Subjects were seated 3 m in front of a monitor. An image of each hand was displayed on the monitor and 1 finger out of 10 was selected by a visual marker. Subjects had to press the key corresponding to the selected finger on a hand-shaped 10 button keyboard as fast as possible. One session consisted of 4 blocks of 100 trials each, which were separated by a short break after each block. Maximum response to stimulus interval for each trial was 2000 ms. Each finger was tested 40 times in random order.
 
 
Posture, balance and gait control
 
Three tests were used to assess the subjects’ ability to control their posture, to maintain balance and to evaluate their security of gait. The Romberg test is a standard neurological test addressing joint position sense (proprioception), and was applied in a condition with eyes either open or closed (Lanska and Goetz, 2000; Goble et al., 2009). The subjects were asked to stand upright with their feet in tandem stance. The movements of the body in relation to a perpendicular object behind the subject were monitored. A second experimenter was standing close to the subject to prevent the person from falling. The time until a subject starts to loose balance was recorded (maximal testing-time was limited to 1 min). In the timed up&go test subjects were asked to stand up from a sitting position, walk 3 m, return to the chair and sit down again (Podsiadlo and Richardson, 1991). The time to fulfill the task was measured. In the standing-turn-test a standing subject was asked to perform a 360° turn (Tinetti, 1986). Time and number of steps were documented.
 
 
Motor performance
 
Hand-arm fine-motor performance was evaluated using a commercial, computer-based test-battery for clinical neuropsychological research (MLS, Dr. G. Schuhfried GmbH, Mödling, Austria) as described previously (Kalisch et al., 2006). The system consists of a work plate with two pencils for left and right hand use. All parts of the system are connected to an interface and a PC computer to record the time and number of errors during different tasks. We investigated speed, accuracy, and maintenance of upper limb position during execution of fine-motor movements of the left and right arm, hand, and fingers using following tests:
 
Steadiness
Steadiness evaluates the ability to obtain a prescribed arm-hand position and to maintain it for a defined time period. Subjects were asked to place the pencil into a small circular hole (5.8 mm) of the horizontally positioned board, and hold it there without touching the edges for 32 s without support of the hand. This task tests the ability to hold a steady position, and allows an estimate of postural tremor. Dependent variables were the number of errors, i.e., the number of contacts of the pencil with the wall of the hole.
 
Aiming
Aiming evaluates the ability to accomplish fast arm-hand movements for small targets. Subjects had to consecutively hit 20 linearly arranged small contact fields (diameter 5 mm, midpoint separation 9 mm) with a test pencil. This test assesses the degree of ataxia and the speed of movement by the ability to make rapid repeated aimed movements. The dependent variables were the number of errors (missed contact fields) and the total time needed to complete the task.
 
Pin plugging
Pin plugging evaluates fine and gross motor dexterity and coordination. The board carries two rows of 25 small holes, one on the left side and one on the right side. Two containers, each equipped with 25 metal pins, were placed in 30 cm distance from the right and left side of the board. The subjects were asked to pick the pins with their right hand, one by one, from the right container and insert them into the holes on the peg-board. Subsequently the test was continued using the left hand and left container. If one of the metal pins dropped during the transfer, they were instructed to go on with the next one. Time to complete the test was assessed.
 
Tapping
Tapping evaluates the ability to perform very fast, repetitive wrist-finger movements with little emphasis on precision of movement. Subjects were required to hit a square contact plate (40 by 40 mm) on the test board with a test pencil as frequently as possible. The measured parameter was number of hits achieved in a time interval of 32 s, which provides a measure of the speed of antagonistic oscillation. In this task, support of the forearm was allowed. Therefore, the repetitive contacts had to be accomplished by wrist movements.
 
 
Tactile performance
 
Touch threshold
Touch threshold was evaluated by probing the fingertips with von Frey filaments (Marstocknervtest, Marburg, Germany). Each filament was calibrated to a known buckling force determined by its length and diameter. The test kit contained 16 different filaments calibrated to forces ranging from 0.25–294 mN in logarithmic scaling. Additional two filaments (Touch Test, Stoelting Co, Wood Dale, IL, USA) with forces of 0.08 mN and 0.20 mN were used to expand the effective test range. Fine-touch sensitivity was tested with a staircase procedure, during which subjects were required to indicate whenever they perceived an indentation. The applied contact forces were decreased in a stepwise manner until the subjects no longer perceived the stimulus (lower boundary), and then increased until the stimulus was perceived again (upper boundary). This procedure was repeated three times, resulting in six values that were averaged to form the absolute touch threshold.
 
Two-point-discrimination threshold (2pd)
Spatial 2pd thresholds were assessed on the tips of the left (LID) and right (RID) index finger using the method of constant stimuli as described previously (Dinse, 2005; Kalisch et al., 2007, 2008). We tested seven pairs of brass needles; in addition zero distance was tested with a single needle. To overcome problems in the use of two-point measurements associated with hand-held probes, we used a specifically designed apparatus that assure a standardized form of testing (cf. Figures in Dinse et al., 2005, 2006). We used needle separations of 1.5, 2.3, 3.1, 3.9, 4.7, 5.6 and 7 mm. The diameter of the needles was 0.7 mm and the diameter of the blunt endings was 200 μm. Application-force was about 150 to 200 mN. All conditions were presented eight times in randomized order resulting in 64 tests per session. As described previously, test-retest reliability using this procedure was 0.90 for young subjects, and 0.88 for elderly participants (Dinse et al., 2006). Subjects, who were not informed about the ratio of needle-pairs and single needles, which was 7:1, had to decide immediately if they had the sensation of one or two needles. They were instructed to classify the percept of a single needle or doubtful stimuli as “one” but the distinct percept of two stimuli as “two”. The summed responses were plotted against the needle-distances resulting in a psychometric function, which was fitted by a binary logistic regression (SPSS; SPSS Inc., USA). Threshold was taken from the fit where 50% correct responses were reached.
 
 
Domains
 
To collapse the data obtained for the various tests, we formed five domains covering similar functional categories. “Cognitive performance” comprised data from the AKT and the RSPM. “Tactile performance” comprised data from touch threshold and 2pd. “Posture&balance” comprised data from the Romberg test, the timed up&go test and the standing-turn test. “Motor performance” comprised Steadiness, Aiming, Pin plugging and Tapping. A separate domain “RT” was introduced to cover data from the multiple-choice reaction time task.
 
 
Indices of performance (IP)
 
To compare performances across all tests and all subjects of both groups we calculated normalized performance indices for each subject and each test as (wp-ip)/(wp-bp), where wp is the worst performance of all subjects, ip is the individual performance, and bp is the best performance of all subjects. Best IP is 1, while worst IP is 0. Indices were subsequently averaged across tasks belonging to a particular domain as described above.
 
 
Data analysis
In all cases we report averages and standard error of the mean (SEM). We hypothesized the AD group to show at least a comparable, or a superior performance in comparison to the CG group. Therefore we used a one-tailed Student's t-test to detect differences between the two groups. Alpha levels were adjusted according to Bonferroni's method (23 tests). Moreover, we computed effect sizes according to Cohen's d (Cohen, 1988). For tests of differences in the distribution we used Chi-square statistics. A p-value of <0.05 was considered significant. In order to detect possible relationships between dance experience and performance, correlation analysis were conducted using Pearson's linear correlation coefficients for total dance experience (years) and average workload (minutes week).
 
 
 
Results
 
We tested cognitive, perceptual and motor performance in two groups of age- and education-matched elderly participants who had a long-year record of regular AD or no dancing experience (control group; CG). We found that the AD group had a superior performance in most of the tests investigated. In Table ​Table1,1, all mean values (±SEM) are shown for each task together with the result of the t-test comparing both groups. Performance for individual tests is illustrated in Figure ​Figure11.

 

 


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