Engagement in different sport disciplines during university years and risk of locomotive syndrome in older age: J-Fit
Adult
Aged
Aged, 80 and over
Athletes
/ statistics & numerical data
Exercise
Geriatric Assessment
Humans
Japan
/ epidemiology
Locomotion
Male
Middle Aged
Mobility Limitation
Motor Disorders
/ epidemiology
Postural Balance
Prevalence
Proportional Hazards Models
Risk Factors
Sports
/ physiology
Syndrome
Young Adult
Historical cohort
Japanese men
Locomotive syndrome
Middle-aged men
Older men
Sport disciplines
University athletes
University sports club
Journal
Environmental health and preventive medicine
ISSN: 1347-4715
Titre abrégé: Environ Health Prev Med
Pays: Japan
ID NLM: 9609642
Informations de publication
Date de publication:
22 Mar 2021
22 Mar 2021
Historique:
received:
15
12
2020
accepted:
11
03
2021
entrez:
23
3
2021
pubmed:
24
3
2021
medline:
7
4
2021
Statut:
epublish
Résumé
Among former Olympic-level athletes, engagement in different sport disciplines has been associated with mortality risk in subsequent years. However, limited evidence is available on whether engagement in different sport disciplines at a young age is associated with locomotive syndrome (LS) risk later in life. This study examined the relationship between engagement in different sport disciplines during university years and LS risk in older age among former university athletes. Participants were 274 middle-aged and 294 older men alumni who graduated from a school of physical education in Japan. LS risk was defined as answering "yes" to any of the Loco-check questions. Data on university sports club membership were collected using questionnaires. University clubs were classified into three groups of cardiovascular intensity (low, moderate, high), following the classification system of sport disciplines by the American College of Cardiology. This classification considers the static and dynamic components of an activity, which correspond to the estimated percent of maximal voluntary contraction reached and maximal oxygen uptake achieved, respectively. University clubs were grouped based on the risk of bodily collision (no, yes) and extent of physical contact (low, moderate, high). Relationships between engagement in different sport disciplines and LS risk were analyzed using Cox proportional hazards models, and adjusted for age, height, weight, joint disease, habitual exercise, and smoking and drinking status. Adjusted hazard ratios and 95% confidence intervals associated with the low, moderate, and high cardiovascular intensity sports were 1.00 (reference), 0.48 (0.22-1.06, P = 0.070), and 0.44 (0.20-0.97, P = 0.042) in older men, respectively; however, there was no significant association between these parameters among middle-aged men. Engagement in sports associated with physical contact and collision did not affect LS risk in either group. Engagement in sports associated with high cardiovascular intensity during university years may reduce the risk of LS in later life. Encouraging young people to participate in such activities might help reduce LS prevalence among older populations.
Sections du résumé
BACKGROUND
BACKGROUND
Among former Olympic-level athletes, engagement in different sport disciplines has been associated with mortality risk in subsequent years. However, limited evidence is available on whether engagement in different sport disciplines at a young age is associated with locomotive syndrome (LS) risk later in life. This study examined the relationship between engagement in different sport disciplines during university years and LS risk in older age among former university athletes.
METHODS
METHODS
Participants were 274 middle-aged and 294 older men alumni who graduated from a school of physical education in Japan. LS risk was defined as answering "yes" to any of the Loco-check questions. Data on university sports club membership were collected using questionnaires. University clubs were classified into three groups of cardiovascular intensity (low, moderate, high), following the classification system of sport disciplines by the American College of Cardiology. This classification considers the static and dynamic components of an activity, which correspond to the estimated percent of maximal voluntary contraction reached and maximal oxygen uptake achieved, respectively. University clubs were grouped based on the risk of bodily collision (no, yes) and extent of physical contact (low, moderate, high). Relationships between engagement in different sport disciplines and LS risk were analyzed using Cox proportional hazards models, and adjusted for age, height, weight, joint disease, habitual exercise, and smoking and drinking status.
RESULTS
RESULTS
Adjusted hazard ratios and 95% confidence intervals associated with the low, moderate, and high cardiovascular intensity sports were 1.00 (reference), 0.48 (0.22-1.06, P = 0.070), and 0.44 (0.20-0.97, P = 0.042) in older men, respectively; however, there was no significant association between these parameters among middle-aged men. Engagement in sports associated with physical contact and collision did not affect LS risk in either group.
CONCLUSIONS
CONCLUSIONS
Engagement in sports associated with high cardiovascular intensity during university years may reduce the risk of LS in later life. Encouraging young people to participate in such activities might help reduce LS prevalence among older populations.
Identifiants
pubmed: 33752592
doi: 10.1186/s12199-021-00958-w
pii: 10.1186/s12199-021-00958-w
pmc: PMC7983270
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
36Subventions
Organisme : Japan Society for the Promotion of Science
ID : 20K19516
Organisme : Ministry of Education, Culture, Sports, Science and Technology
ID : MEXT-Supported Program for the Private University Research Branding Project
Références
Clin Interv Aging. 2018 Apr 30;13:819-827
pubmed: 29750024
BMJ. 2012 Dec 13;345:e7456
pubmed: 23241269
Mod Rheumatol. 2018 Mar;28(2):334-338
pubmed: 28612640
J Gerontol A Biol Sci Med Sci. 2006 Oct;61(10):1059-64
pubmed: 17077199
PLoS One. 2018 Jan 11;13(1):e0191170
pubmed: 29324821
J Exerc Sci Fit. 2020 Jan;18(1):21-30
pubmed: 31641364
Br J Sports Med. 2000 Dec;34(6):445-9
pubmed: 11131233
Nihon Ronen Igakkai Zasshi. 2010;47(1):52-7
pubmed: 20339206
J Athl Train. 2007 Apr-Jun;42(2):311-9
pubmed: 17710181
BMC Geriatr. 2017 Oct 18;17(1):241
pubmed: 29047351
Sports Med Open. 2015;1(1):16
pubmed: 26301178
J Orthop Sci. 2014 Sep;19(5):786-91
pubmed: 25023927
BMC Public Health. 2014 May 23;14:493
pubmed: 24885699
Int J Health Policy Manag. 2019 May 29;8(8):462-466
pubmed: 31441285
J Orthop Sci. 2008 Jan;13(1):1-2
pubmed: 18274847
Int J Behav Nutr Phys Act. 2010 May 11;7:40
pubmed: 20459784
JAMA. 2007 Apr 25;297(16):1772-4
pubmed: 17456818
Med Sci Sports Exerc. 1993 Feb;25(2):237-44
pubmed: 8450727
Med Sci Sports Exerc. 2001 Jun;33(6 Suppl):S472-83; discussion S493-4
pubmed: 11427773
Environ Health Prev Med. 2016 Sep;21(5):356-360
pubmed: 27146070
Am J Sports Med. 1991 Mar-Apr;19(2):124-30
pubmed: 2039063
BMC Geriatr. 2021 Jan 30;21(1):89
pubmed: 33516172
BMC Public Health. 2019 Dec 27;19(1):1737
pubmed: 31881869
JAMA. 2018 Nov 20;320(19):2020-2028
pubmed: 30418471
J Orthop Sci. 2015 Sep;20(5):896-905
pubmed: 26104219
J Am Coll Cardiol. 2005 Apr 19;45(8):1364-7
pubmed: 15837288
Environ Health Prev Med. 2017 Nov 6;22(1):76
pubmed: 29165174
Med Sci Sports Exerc. 2001 Jun;33(6 Suppl):S495-501; discussion S528-9
pubmed: 11427776
Clin Rev Bone Miner Metab. 2016;14:56-67
pubmed: 27375370
J Sci Med Sport. 2010 Jul;13(4):410-6
pubmed: 19574095
J Orthop Sci. 2011 Sep;16(5):489-91
pubmed: 21789538
Pediatrics. 2008 Apr;121(4):841-8
pubmed: 18381550
Circulation. 2007 Aug 28;116(9):1081-93
pubmed: 17671237
J Clin Epidemiol. 1996 Dec;49(12):1373-9
pubmed: 8970487