Literature DB >> 8548497

Hormonal responses to maximal and submaximal exercise in trained and untrained men of various ages.

H G Silverman1, R S Mazzeo.   

Abstract

Neuroendocrine adjustments to maximal and submaximal exercise were investigated in men as a function of age and training status. Twenty-four trained cyclists and 23 sedentary men constituting a young (M = 22.9 yrs, n = 16), middle-aged (M = 44.9 yrs, n = 16), and old (M = 65.5 yrs, n = 15) group performed both a maximal (GXT) and a 45-minute submaximal exercise test (cycle ergometer) at the workload corresponding to their lactate threshold. Plasma lactate, glucose, growth hormone, cortisol, norepinephrine, and epinephrine concentrations were analyzed both at rest and during exercise. Peak oxygen consumption (VO2 peak) was lower with age; however, all trained groups had higher values for VO2 peak compared to sedentary groups, regardless of age. Lactate threshold, when expressed in absolute terms, was lower with advancing age (sedentary decreases 9 and 26%: trained decreases 19 and 35% for middle-age and old, respectively, when compared to young). Pre-exercise plasma norepinephrine levels were higher with age in both trained and sedentary subjects. Cortisol levels were lower with age for sedentary subjects and were significantly elevated in trained subjects across all age groups. Endurance training resulted in increased hormonal responses, as measured by plasma concentrations, to both maximal and submaximal exercise across all age groups. However, regardless of training status, age-related declines were observed in peak responses for lactate, growth hormone, and cortisol during the GXT. During the 45-minute submaximal exercise test, these age-related differences that had been present in the GXT were abolished. This submaximal test represented a lower absolute work load for old compared to young as well as sedentary compared to trained subjects; however, individuals were working at similar relative exercise intensities. We conclude that older individuals are capable of similar hormonal responses to submaximal exercise of identical durations and intensities as their young and middle-aged counterparts, and that chronic endurance training can enhance the hormonal response to exercise in all age groups.

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Year:  1996        PMID: 8548497     DOI: 10.1093/gerona/51a.1.b30

Source DB:  PubMed          Journal:  J Gerontol A Biol Sci Med Sci        ISSN: 1079-5006            Impact factor:   6.053


  9 in total

1.  Effect of the intensity of training on catecholamine responses to supramaximal exercise in endurance-trained men.

Authors:  Christophe Jacob; Hassane Zouhal; Jacques Prioux; Arlette Gratas-Delamarche; Danièle Bentué-Ferrer; Paul Delamarche
Journal:  Eur J Appl Physiol       Date:  2003-11-12       Impact factor: 3.078

2.  Effect of age and combined sprint and strength training on plasma catecholamine responses to a Wingate-test.

Authors:  Maha Sellami; Abderraouf Ben Abderrahman; Gretchen A Casazza; Wiem Kebsi; Sophie Lemoine-Morel; Lotfi Bouguerra; Hassane Zouhal
Journal:  Eur J Appl Physiol       Date:  2014-02-06       Impact factor: 3.078

3.  Heart rate recovery after exercise and neural regulation of heart rate variability in 30-40 year old female marathon runners.

Authors:  Na Du; Siqin Bai; Kazuo Oguri; Yoshihiro Kato; Ichie Matsumoto; Harumi Kawase; Toshio Matsuoka
Journal:  J Sports Sci Med       Date:  2005-03-01       Impact factor: 2.988

4.  Factors Influencing Substrate Oxidation During Submaximal Cycling: A Modelling Analysis.

Authors:  Jeffrey A Rothschild; Andrew E Kilding; Tom Stewart; Daniel J Plews
Journal:  Sports Med       Date:  2022-07-12       Impact factor: 11.928

Review 5.  Catecholamines and the effects of exercise, training and gender.

Authors:  Hassane Zouhal; Christophe Jacob; Paul Delamarche; Arlette Gratas-Delamarche
Journal:  Sports Med       Date:  2008       Impact factor: 11.136

Review 6.  Could Age, Sex and Physical Fitness Affect Blood Glucose Responses to Exercise in Type 1 Diabetes?

Authors:  Jane E Yardley; Nicole K Brockman; Richard M Bracken
Journal:  Front Endocrinol (Lausanne)       Date:  2018-11-15       Impact factor: 5.555

7.  How Old Is Your Brain? Slow-Wave Activity in Non-rapid-eye-movement Sleep as a Marker of Brain Rejuvenation After Long-Term Exercise in Mice.

Authors:  Maria Panagiotou; Kostas Papagiannopoulos; Jos H T Rohling; Johanna H Meijer; Tom Deboer
Journal:  Front Aging Neurosci       Date:  2018-08-07       Impact factor: 5.750

8.  Vigorous Intervals and Hypoglycemia in Type 1 Diabetes: A Randomized Cross Over Trial.

Authors:  Meaghan Rempel; Jane E Yardley; Andrea MacIntosh; Jacqueline L Hay; Danielle Bouchard; Stephen Cornish; Seth D Marks; Yan Hai; Joseph W Gordon; Jonathan McGavock
Journal:  Sci Rep       Date:  2018-10-26       Impact factor: 4.379

9.  Performance and Recovery of Well-Trained Younger and Older Athletes during Different HIIT Protocols.

Authors:  Laura Hottenrott; Martin Möhle; Sarah Feichtinger; Sascha Ketelhut; Oliver Stoll; Kuno Hottenrott
Journal:  Sports (Basel)       Date:  2022-01-05
  9 in total

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