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  • 1
    ISSN: 1432-1998
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Abstract We report a patient with hypomelanosis of Ito associated with neuroblastoma. Though not previously reported, the association is plausible since both conditions are forms of ℋeurocristopathy”.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    European journal of applied physiology 56 (1987), S. 30-37 
    ISSN: 1439-6327
    Keywords: Gas exchange ; Muscle twitch ; dF/dt ; EMD
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Summary Sixteen men were tested to determine $$\dot V_{{\text{O}}_{{\text{2 max}}} } $$ (ml · kg−1 · min−1), anaerobic threshold $$\dot V_{{\text{O}}_{\text{2}} } {\text{ (AT}}\dot V_{{\text{O}}_{\text{2}} } {\text{)}}$$ and oxygen kinetics (time constant, T. C.) during running on a treadmill. For measuring maximal calf blood flow (maxBF, ml · 100 ml−1 · min−1), venous occlusion plethysmography was employed immediately following a combination of arterial occlusion and toe raising exercise to exhaustion. In addition, supramaximal electrical stimulations were given to determine maximal calf twitch force (Fmax, N), maximal rate of twitch force development (dF/dt) and relaxation (R · dF/dt, N · ms−1) and electro-mechanical delay time (EMD, ms). Results demonstrated that $$\dot V_{{\text{O}}_{{\text{2 max}}} } $$ and maxBF were all inversely related to T.C. (p〈0.05). MaxBF and $${\text{AT}}\dot V_{{\text{O}}_{\text{2}} } $$ showed the highest correlation (r = 0.89,p〈0.01). Stepwise multiple linear regression analyses revealed that variance in $$\dot V_{{\text{O}}_{{\text{2 max}}} } $$ (60%) and $${\text{AT}}\dot V_{{\text{O}}_{\text{2}} } $$ (84%) could be accounted for by the combined effects of the following peripheral factors: $$\begin{gathered} \dot V_{{\text{O}}_{{\text{2 max}}} } = 51,25 - 3.24({{{\text{dF}}} \mathord{\left/ {\vphantom {{{\text{dF}}} {{\text{dt}}}}} \right. \kern-\nulldelimiterspace} {{\text{dt}}}}) + 0.14(\max {\text{BF}}),{\text{ and}} \hfill \\ {\text{AT}}\dot V_{{\text{O}}_{\text{2}} } = 11.68 + 0.42(\max {\text{BF}}) - 0.2({\text{F}}_{{\text{max}}} ) \hfill \\ \end{gathered} $$ These findings, together with the results of cluster analysis, suggest a tight link between $${\text{AT}}\dot V_{{\text{O}}_{\text{2}} } $$ and peripheral blood flow capacity. On the other hand, a moderate correlation (r=0.64,p〈0.01) between $$\dot V_{{\text{O}}_{{\text{2 max}}} } $$ and maxBF might be due in part to individual differences in oxygen extraction-utilization capacity during heavy exercise above anaerobic threshold.
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    Springer
    European journal of applied physiology 82 (2000), S. 1-7 
    ISSN: 1439-6327
    Keywords: Key words Pulse wave velocity ; Peripheral vascular disease ; Hypertension ; Hyperlipidaemia ; Arterial stiffness
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Abstract Non-invasive measurement of arterial pulse wave velocity (PWV) is used to diagnose peripheral vascular disease. We examined the relationship between PWV and risk factors related to peripheral vascular disease [body mass index (BMI), systolic blood pressure (SBP), diastolic blood pressure (DBP), serum total cholesterol (TC), high-density lipoprotein-cholesterol (HDL-C), atherogenic index (AI) and blood glucose (GLU)] in 45 healthy male volunteers, aged 25–85 years. The correlation coefficient of PWV with age was r=0.46, and the correlation coefficients of PWV with DBP, AI and GLU were r=0.71, 0.56, and 0.22, respectively (P 〈 0.05). Multiple linear regression analysis revealed that 67% of the variance in PWV could be accounted for by these three variables. The relative contributions of DBP, AI and GLU to PWV were 66%, 26% and 8%, respectively. To test the applicability of PWV for clinical use, a multiple regression equation of PWV derived from these three variables was then applied to male patients with hypertension (n=53), hyperlipidaemia (n=35) or hyperglycaemia (n=39). The results suggest that the multiple regression equation of PWV is an indicator that discriminates between these patient categories and healthy men.
    Type of Medium: Electronic Resource
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  • 4
    Electronic Resource
    Electronic Resource
    Springer
    European journal of applied physiology 49 (1982), S. 277-286 
    ISSN: 1439-6327
    Keywords: Age changes ; Metabolic transients ; Respiratory transients ; Heart rate transients ; Mechanical efficiency ; Gas exchange ; Dynamics
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Summary Five older men (aged 60–69 yr) and five young men (aged 21–29 yr) with approximately equal levels of age-corrected $$\dot VO_2$$ max were compared with respect to oxygen kinetics at equal absolute workloads (100 watts) and at equal relative workloads (45% $$\dot VO_2$$ max) on a cycle ergometer. At 45% $$\dot VO_2$$ max, half times for $$\dot VO_2$$ response to instantaneous transition from unloaded pedalling were 30.0 s and 27.4 s for old and young respectively (t=0.260,p〈0.80). No significant differences were found in the $$\dot V_E$$ response and by inference none existed in O2 extraction. Mean half times for heart rate responses at a workload of 100 W were 24.2 s and 20.6 s for old and young groups respectively (t=0.722,p〈0.49). Mechanical efficiency estimated from steady state data at 100 W was 19.8% and 20.5% for old and young groups respectively (t=0.574). The close similarity in responses to submaximal work in old and young subjects of equivalent fitness suggests caution in the interpretation of agewise decrements observed in physiological variables which may be sensitive to physical fitness status.
    Type of Medium: Electronic Resource
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  • 5
    Electronic Resource
    Electronic Resource
    Springer
    European journal of applied physiology 61 (1990), S. 202-208 
    ISSN: 1439-6327
    Keywords: Biological age ; Physical fitness age ; Sex difference ; Blood pressure ; Blood lipid
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Summary The purpose of this study was to determine whether adult women who are in a state of high physical fitness are in a good state biologically, in terms of biological and physical fitness ages as estimated by statistical means. The subjects were 65 healthy Japanese women (aged 20–64 years). Biological and physical fitness ages were estimated from the data for 18 physiological function tests and 5 physical fitness tests, respectively, by a principal component model. The correlation coefficient between biological and physical fitness ages was 0.70 (P〈0.01), which was generally regarded as a high correlation. Therefore, those who were in a state of high physical fitness were considered to be in good biological condition. This result is in good agreement with the results (r=0.72) from adult men, on whom we reported previously. A statistical analysis to ascertain the relative importance of each contributory variable associated with the variance in biological age suggested that routine clinical evaluation of blood pressure and lipid metabolism might play an important role in determining not only the presence and severity of vascular disease but also the rate of biological aging in women.
    Type of Medium: Electronic Resource
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  • 6
    Electronic Resource
    Electronic Resource
    Springer
    European journal of applied physiology 58 (1989), S. 778-785 
    ISSN: 1439-6327
    Keywords: Biological age ; Physical fitness age ; Comparison ; Exercise
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Summary A population of healthy middle-aged (n=69) and elderly men (n=12), who participated in a health promotion program, was studied to determine whether really physically fit individuals are in good biological condition, and also whether improvement of physical fitness in the middle-aged and the elderly reduces their “rate of aging”. Biological and physical fitness ages of the individuals studied were estimated from the data for 18 physiological function tests and 5 physical fitness tests, respectively, by a principal component model. The correlation coefficient between the estimated biological and physical fitness ages was 0.72 (p〈0.01). Detailed analyses of the relationship between the estimated biological and physical fitness ages revealed that those who manifested a higher (“older”) physical fitness age did not necessarily have a higher biological age, but those who manifested a lower (“younger”) physical fitness age were also found to have a lower biological age. These results suggested that there were considerable individual variations in the relationship between biological condition and physical fitness among individuals with an old physical fitness age, but those who were in a state of high physical fitness maintained a relatively good biological condition. The data regarding the elderly men who had maintained a regular exercise program indicated that their estimated biologica ages were considerably younger than the expected values. This might suggest that in older individuals regular physical activity may provide physiological improvements which in turn might reduce “the rate of aging”.
    Type of Medium: Electronic Resource
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