Literature DB >> 19927145

The low-fitness phenotype as a risk factor: more than just being sedentary?

Timothy Church1.   

Abstract

Higher levels of fitness are associated with reduced risk of a wide variety of illnesses and chronic conditions. For cardiovascular disease (CVD) and many metabolic conditions, the fitness-morbidity/mortality curve is not linear but curvilinear, with lower levels of fitness being associated with significantly higher levels of risk compared to moderate and high levels of fitness. We have a very poor understanding of what the low fit phenotype represents as it is clearly more than just low physical activity levels. For example, there are likely some metabolic disadvantaged individuals with intrinsically low fitness and low oxidative capacity that are also prone to being sedentary due to easy fatigability. For these individuals, there exists a worse case scenario of a sedentary lifestyle superimposed on metabolically disadvantaged muscle resulting in the exaggerated CVD and metabolic risk. There is clearly a need for more work exploring the risk associated with low fitness and developing strategies to address the risk of low fitness. For example, we need to (i) define the mechanisms responsible for the exceptional risk associated with being low fit, (ii) identify best physical activity programs for reversing low fitness, (iii) examine whether exercise training nonresponders receive health benefits from exercise training despite the failure to improve fitness, and (iv) explore methods to identify individuals with the "low fit" phenotype without conducting a maximal exercise test. Individuals in the low fit category typically account for the majority of accumulated metabolic/CVD events, thus reducing this risk in this category would have substantial public health and clinical payoff.

Entities:  

Mesh:

Year:  2009        PMID: 19927145     DOI: 10.1038/oby.2009.387

Source DB:  PubMed          Journal:  Obesity (Silver Spring)        ISSN: 1930-7381            Impact factor:   5.002


  14 in total

1.  Handgrip strength is associated with insulin resistance and glucose metabolism in adolescents: Evidence from National Health and Nutrition Examination Survey 2011 to 2014.

Authors:  Shengxu Li; Rui Zhang; Guowei Pan; Liqiang Zheng; Changwei Li
Journal:  Pediatr Diabetes       Date:  2017-10-30       Impact factor: 4.866

Review 2.  Humanized animal exercise model for clinical implication.

Authors:  Dae Yun Seo; Sung Ryul Lee; Nari Kim; Kyung Soo Ko; Byoung Doo Rhee; Jin Han
Journal:  Pflugers Arch       Date:  2014-03-21       Impact factor: 3.657

3.  Screen-based sedentary behavior and cardiorespiratory fitness from age 11 to 13.

Authors:  Jonathan A Mitchell; Russell R Pate; Steven N Blair
Journal:  Med Sci Sports Exerc       Date:  2012-07       Impact factor: 5.411

Review 4.  The biological control of voluntary exercise, spontaneous physical activity and daily energy expenditure in relation to obesity: human and rodent perspectives.

Authors:  Theodore Garland; Heidi Schutz; Mark A Chappell; Brooke K Keeney; Thomas H Meek; Lynn E Copes; Wendy Acosta; Clemens Drenowatz; Robert C Maciel; Gertjan van Dijk; Catherine M Kotz; Joey C Eisenmann
Journal:  J Exp Biol       Date:  2011-01-15       Impact factor: 3.312

Review 5.  Eating ourselves to death (and despair): the contribution of adiposity and inflammation to depression.

Authors:  Richard C Shelton; Andrew H Miller
Journal:  Prog Neurobiol       Date:  2010-04-22       Impact factor: 11.685

6.  Biomarkers of cardiometabolic health are associated with body composition characteristics but not physical activity in persons with spinal cord injury.

Authors:  Tom E Nightingale; Jean-Philippe Walhin; Dylan Thompson; James Lj Bilzon
Journal:  J Spinal Cord Med       Date:  2017-09-13       Impact factor: 1.985

7.  Surgery results in exaggerated and persistent cognitive decline in a rat model of the Metabolic Syndrome.

Authors:  Xiaomei Feng; Vincent Degos; Lauren G Koch; Steven L Britton; Yinggang Zhu; Susana Vacas; Niccolò Terrando; Jeffrey Nelson; Xiao Su; Mervyn Maze
Journal:  Anesthesiology       Date:  2013-05       Impact factor: 7.892

8.  Motivating Exercise: The Interactive Effect of General Action Goals and Past Behavior on Physical Activity.

Authors:  Justin Hepler; Wei Wang; Dolores Albarracin
Journal:  Motiv Emot       Date:  2012-09-01

9.  Educational differences in self-rated physical fitness among Finns.

Authors:  Kaisa R Pulkkinen; Tomi Mäkinen; Heli Valkeinen; Ritva Prättälä; Katja Borodulin
Journal:  BMC Public Health       Date:  2013-02-22       Impact factor: 3.295

10.  Changes in physical fitness predict improvements in modifiable cardiovascular risk factors independently of body weight loss in subjects with type 2 diabetes participating in the Italian Diabetes and Exercise Study (IDES).

Authors:  Stefano Balducci; Silvano Zanuso; Patrizia Cardelli; Laura Salvi; Giulia Mazzitelli; Alessandra Bazuro; Carla Iacobini; Antonio Nicolucci; Giuseppe Pugliese
Journal:  Diabetes Care       Date:  2012-03-07       Impact factor: 19.112

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