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Cognitive Function in Elderly Marathon Runners

Austrian Prospective Cohort Study in Cognitive Function of Elderly Marathon-runners

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT01045031
Acronym
APSOEM
Enrollment
114
Registered
2010-01-08
Start date
2008-12-31
Completion date
2018-12-31
Last updated
2018-06-26

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cognitive Decline

Keywords

cognitive function, aging, brain-derived neurotrophic factor

Brief summary

There is substantial research on the effects of physical exercise on cognitive functions. However, less attention has been paid on the requirements of training intensity and length to enhance cognitive abilities in the elderly. To the investigators knowledge no studies have evaluated the effects of extensive endurance exercise training on cognitive functions by studying elderly marathon runners and bicyclists. On the basis of the scientific literature published so far it is not known whether the beneficial impact of endurance exercise training depends on the intensity of training. The investigators therefore designed a cohort study with adequate power in order to evaluate the effects of intensive endurance exercise training on cognition. This trial, an Austrian prospective cohort study in cognitive function of elderly marathon-runners (APSOEM) is being conducted and will compare neuropsychological performance outcomes of elderly marathon runners or bicyclists with controls matched concerning age, education years, occupation, and verbal intelligence.

Detailed description

Design of the trial The data reported in this study are derived from the cognitive testing and determination of humoral growth factors at the time of the survey 1 (recruitment phase). To determine whether extensive endurance training enhances cognitive abilities in the elderly, we plan to compare longitudinally the outcomes of various neuropsychological tests and humoral markers in elderly marathon runners or bicyclists with controls matched for age, sex, and years of education at the time of the survey 2 (5-year follow-up) and at the time of the survey 3 (10-year follow-up). Runners participating in the 2008 Wachau half marathon (21,2 km) and the Vienna City marathon (42,5 km) as well as bicyclists participating at the Corinthian marathon (180km) were recruited with the assistance of the organizers and via personal contacts. Runners or bicyclists were eligible for inclusion in the study if (a) they had participated in at least one of these 3 marathons in the preceding two years, (b) were still in continuous training during the recruitment phase (at least 2 hours/week) and (c) were over the age of 60. Exclusion criteria were (a) present or past exposure to neurotoxic substances (b) if they did not speak German as their native language (verbal intelligence) (c) diseases that markedly affect CNS functions: for example, cerebrovascular stroke, brain tumor, depression, Alzheimer's disease, epilepsy, multiple sclerosis, Parkinson's disease, etc. (d) manifest cardiovascular disease, (e) chronic alcoholism (daily alcohol intake \> 60 g or diagnosed history of alcoholism) and (f) unwillingness to give informed consent. Controls were subsequently contacted via personal contact and three additional advertisements (two in an Austrian newspaper (Krone) and one in an Austrian bicyclist journal (Bicyclist Sports). The controls were matched according to age, sex and years of education. Detailed information about education, smoking habits, family history, exercise training and medication was obtained. All participants had an extensive medical evaluation carried out by an experienced internal specialist including blood withdrawal when entering the study. Since it has been shown that humoral growth factor levels can vary with the circadian rhythm , all examinations were started between 10 am and 10.30 am. In cases where the examination revealed neurological abnormalities, participants were additionally examined by a neurologist. Besides the physical examination with blood withdrawal described above, the study protocol included an ergometry, neuropsychological testing, the use of a set of questionnaires and magnetic resonance imaging. All participants underwent the study protocol tests in the above-mentioned same chronological order. The study was approved by the ethics committee of the medical faculty of the University of Vienna (number EK 401/2005). All subjects gave written informed consent before entering the study. Procedures followed were in accordance with institutional guidelines. Ergometry Individual working capacity was calculated as a percentage of the predicted (=100% work load) Watt value (derived from the tabulation, standardized for sex, age, and body surface \[28\]). Briefly, the workload was increased every two minutes in steps of 25 W, beginning with 25 W and going on until the point of exhaustion (Ergoline, Ergometrics 900). The individual physical working capacity (PWC) was expressed as the individual maximal power (Watt)max in percent of a reference value (Wattref): PWCind = 100 x Wattmax/Wattref \[28\]. Neuropsychological testing and questionnaires The Vienna Neuropsychological Test Battery (VNTB)as well as the Consortium to Establish a Registry for Alzheimer's Disease (CERAD) were selected in order to assess cognitive functions, such as visuo-construction, concentration/attention, language, memory and executive functioning domains. These cognitive abilities are known to be commonly affected by Alzheimer's disease and other dementias. The two batteries of tests have been found to be sensitive in the evaluation of mild cognitive impairment. Each test run began with a screening of global cognitive functions via the Mini Mental State Examination (MMSE) and the Clock Drawing Test. Thereafter participants were subjected to a cognitive testing assessing visuo-constructional abilities, attention, language functions, memory and executive functions. Details of cognitive testing are described in the Appendix. After finishing the test batteries, subjects were asked to fill out several self-rating scales and forms to assess premorbid intelligence levels, subjective memory functions, psychological and physiological well-being , depression, and activities of daily life. Laboratory procedures Blood counts, all clinical chemistry tests, vitamin B12 and folic acid, thyroid hormones and HbA1c determinations were performed according to standard routine laboratory testing procedures. As preanalytical factors crucially affect levels of growth factors, the collection and processing of specimens was carried out under strictly standardized conditions. Whole blood for DNA extraction and serum samples for growth factor measurements were stored at -80°C within the MedUni Vienna Biobank facility. Post-storage isolation of DNA was done on a Corbett X-tractor Gene CAS 1820 semi-automated nucleic acid extraction system (Qiagen, Hilden, Germany) using a Macherey Nagel Nucleospin 96 blood kit (Macherey Nagel, Dueren, Germany). Quantification of genomic DNA by Warburg-Christian method (260/280 nm) on a Nanodrop spectrophotometer (PEQLAB Biotechnologie GmbH, Erlangen, Germany) revealed an average nucleic acid concentration of 25 ng/µL. ApoE genotyping of 1:10 (v/v in Buffer BE, Macherey Nagel) diluted aliquots was performed on a ABI TaqMan® 7900HT Real Time(RT)-PCR thermocycler (Applied Biosystems, Rotkreuz, Switzerland). For this, pre-designed TaqMan SNP-Genotyping assays to distinguish the ApoE ε4 allele from ε2 and ε3 at amino acid position 112 (ApoE rs429358, Assay ID C\_3084793\_20, Applied Biosystems) and the ApoE ε2 allele from ε3 and ε4 at amino acid position 158 (rs7412, Assay ID C\_904973\_10, Applied Biosystems) were purchased. RT-PCR was accomplished in a total reaction volume of 5µL using TaqMan® Genotyping Master Mix (Applied Biosystems) in a 384-well format according to the standard protocol supplied by the manufacturer. Thermal conditions: enzyme activation for 10 minutes at 95°C, followed by 45 cycles of alternating denaturation (15 seconds, 95°C) and primer annealing/elongation (1 minute, 60°C). Allelic discrimination was achieved using SDS 2.3 software (Applied Biosystems). Insulin-like growth factor 1 was measured with the LIAISON® IGF-1 test on a fully automated LIAISON chemiluminescence analyzer (both from Diasorin, Saluggia, Italy). Measurement of BDNF concentration was done manually using RayBio Human BDNF ELISA Kit (Ray Biotech, Inc, Norcross, USA) according to the standard protocol supplied by the manufacturer. Magnetic resonance imaging Magnetic resonance imaging was performed on a 1.5 T superconducting magnet (Siemens Symphony 1,5 T, Siemens Co., Erlangen) using a standard head coil, as previously described \[40\]. The standardized imaging protocol included: 1. axial FLAIR (fluid attenuated inversion recovery): TR 696 msec, TE 24 msec, 5mm slice thickness, distance factor 20%, FOV (field of view) 210 mm x 100 mm, number of slices 20. 2. axial T2\* flash 2d: TR 477, TE 12 msec, 5mm slice thickness, distance factor 20%, FOV 210 x 100, number of slices 20. (c) axial T1 TSE (turbo spin echo sequence) TR 477 msec, TE 12 msec, 5mm slice thickness, distance factor 20%, FOV 210 x 100 mm, number of slices 20. (d) coronal T2 TSE: TR 4480 msec, TE 94 msec, high resolution (perpendicular to hippocampus), 2mm slice thickness, distance factor 20%, FOV 220 x 100, number of slices 24. (e) coronal 3D MPRAGE: TR 1420 msec, TE 3,2 msec, slice thickness (partition) 3 mm, FOV 240, number of slices 36. Quantitative, morphometric imaging data were not acquired. Data management and statistical analyses A separate database was maintained by the biobank. All results were sent to the trial office of the Occupational Medicine Unit, where they were matched and appended to the participant´s records on an Access 2000 database. All statistical analyses were performed using SPSS 17.0. Depending on the scale properties of the data, mean and standard deviation or frequencies and percentages are provided. Univariate group differences were evaluated by means of t-tests/Mann & Whitney U-Test or Fisher exact tests, and MANOVA models were used to evaluate multivariate group differences with Wilk's-being reported. Multiple correlations between the sets of psychological parameters and the biomarkers BDNF and IGF were performed exploratively. All statistical analyses were conducted at a significance level of 5%; due to the large number of comparisons and to reduce the risk of an inflation of the error type I the significance level will be adjusted to 2.5‰ (Bonferroni-Holm adjustment of error type I) when discussing the results. For the follow-up evaluation, sample sizes of n=41 patients per group are aimed at to achieve the detection of group differences in the percentage of cognitive impairment; this will make it possible to prove differences in percentages for median up to large effects (H\>.50) at a level of significance of 5% and a power of 80%.

Interventions

None listed

Sponsors

National Bank of Austria
CollaboratorOTHER_GOV
Medical University of Vienna
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
60 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

* Current Marathon runners or marathon bicyclists and controls from the greater Vienna area

Exclusion criteria

* Current of past neurotoxic exposure * Not German as native language * Diseases, that might affect central nervous system (stroke, meningitis, meningeoma, hydrocephalus,..) * Manifest cardiovascular disease * Alcoholism

Design outcomes

Primary

MeasureTime frameDescription
the Proportion of Subjects, Who Will Develop Mild Cognitive Impairment10 yearsHypothesis will be tested at the second follow-up examinations.
Brain-derived Neurotrophic Factor (BDNF)Baseline and 5 years

Secondary

MeasureTime frameDescription
Self Rating by QuestionnairesBaseline and 5 yearsThe following self rating scales were used: WHO-5 Quality of Life Assessment (Braeher, E., Muehlan, H., Albani, C., & Schmidt, S. (2007). Testing and standardization of the German version of the EUROHIS-QOL and WHO-5 quality-of life-indices. Diagnostica, 53(2), 83-96.). Range: 0 - 25, higher scores indicate better quality of life.
Insulin-like Growth Factor (IGF-1)Baseline and 5 years

Participant flow

Recruitment details

Of 136 initially screened individuals (63 athletes, 73 controls), a total of 114 subjects could be enrolled since they met all inclusion criteria.

Participants by arm

ArmCount
Marathon Athletes
Participation in more than one of the following competitions during the previous three years: Wachau half marathon (21,2 km) and the Vienna City marathon (42,5 km) as well as bicyclists participating at the Corinthian marathon (180km)
56
Controls
The control group was matched according to age, sex and years of education.
58
Total114

Baseline characteristics

CharacteristicMarathon AthletesControlsTotal
Age, Continuous66.0 years
STANDARD_DEVIATION 4.7
65.9 years
STANDARD_DEVIATION 4.1
65.9 years
STANDARD_DEVIATION 4.4
Sex: Female, Male
Female
6 Participants6 Participants12 Participants
Sex: Female, Male
Male
50 Participants52 Participants102 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
— / —— / —
other
Total, other adverse events
0 / 580 / 56
serious
Total, serious adverse events
0 / 580 / 56

Outcome results

Primary

Brain-derived Neurotrophic Factor (BDNF)

Time frame: Baseline and 5 years

Population: Baseline values differ from published data, since BDNF-levels had to be re-assessed from banked material due to a manufacturer-based change of the analysis kit.

ArmMeasureGroupValue (MEAN)Dispersion
Marathon AthletesBrain-derived Neurotrophic Factor (BDNF)Follow-up419 ng/mLStandard Deviation 117
Marathon AthletesBrain-derived Neurotrophic Factor (BDNF)Baseline310 ng/mLStandard Deviation 137
ControlsBrain-derived Neurotrophic Factor (BDNF)Baseline323 ng/mLStandard Deviation 157
ControlsBrain-derived Neurotrophic Factor (BDNF)Follow-up500 ng/mLStandard Deviation 148
Primary

the Proportion of Subjects, Who Will Develop Mild Cognitive Impairment

Hypothesis will be tested at the second follow-up examinations.

Time frame: 10 years

Secondary

Insulin-like Growth Factor (IGF-1)

Time frame: Baseline and 5 years

ArmMeasureGroupValue (MEAN)Dispersion
Marathon AthletesInsulin-like Growth Factor (IGF-1)Baseline137.7 ng/mLStandard Deviation 41.1
Marathon AthletesInsulin-like Growth Factor (IGF-1)Follow-up155.2 ng/mLStandard Deviation 40.5
ControlsInsulin-like Growth Factor (IGF-1)Baseline137.4 ng/mLStandard Deviation 39.7
ControlsInsulin-like Growth Factor (IGF-1)Follow-up156.7 ng/mLStandard Deviation 39.9
Secondary

Self Rating by Questionnaires

The following self rating scales were used: WHO-5 Quality of Life Assessment (Braeher, E., Muehlan, H., Albani, C., & Schmidt, S. (2007). Testing and standardization of the German version of the EUROHIS-QOL and WHO-5 quality-of life-indices. Diagnostica, 53(2), 83-96.). Range: 0 - 25, higher scores indicate better quality of life.

Time frame: Baseline and 5 years

Population: Study population (Baseline and follow-up)

ArmMeasureGroupValue (MEAN)Dispersion
Marathon AthletesSelf Rating by QuestionnairesBaseline17.8 point scaleStandard Deviation 4.2
Marathon AthletesSelf Rating by QuestionnairesFollow-up17.6 point scaleStandard Deviation 5.4
ControlsSelf Rating by QuestionnairesBaseline19.9 point scaleStandard Deviation 2.8
ControlsSelf Rating by QuestionnairesFollow-up20.3 point scaleStandard Deviation 3.2

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026