Sedentary time and peripheral artery disease: The Hispanic Community Health Study/Study of Latinos.
Adolescent
Adult
Aged
Ankle Brachial Index
Cause of Death
/ trends
Exercise
/ physiology
Female
Follow-Up Studies
Hispanic or Latino
Humans
Incidence
Lower Extremity
/ blood supply
Male
Middle Aged
Peripheral Arterial Disease
/ diagnosis
Prognosis
Public Health
Retrospective Studies
Risk Factors
Sedentary Behavior
/ ethnology
Survival Rate
/ trends
Ultrasonography, Doppler
United States
/ epidemiology
Young Adult
Journal
American heart journal
ISSN: 1097-6744
Titre abrégé: Am Heart J
Pays: United States
ID NLM: 0370465
Informations de publication
Date de publication:
04 2020
04 2020
Historique:
received:
05
09
2019
accepted:
06
02
2020
pubmed:
28
2
2020
medline:
1
5
2020
entrez:
28
2
2020
Statut:
ppublish
Résumé
Experimental evidence suggests that sedentary time (ST) may contribute to cardiovascular disease by eliciting detrimental hemodynamic changes in the lower limbs. However, little is known about objectively measured ST and lower extremity peripheral artery disease (PAD). We included 7,609 Hispanic/Latinos (ages 45-74) from the Hispanic Community Health Study/Study of Latinos. PAD was measured using the ankle brachial index (≤0.9). ST was measured using accelerometry. We used multivariable logistic regression to assess associations of quartiles of ST and PAD, and then used the same logistic models with restricted cubic splines to investigate continuous nonlinear associations of ST and PAD. Models were sequentially adjusted for traditional PAD risk factors, leg pain, and moderate- to vigorous-intensity physical activity (MVPA). Median ST was 12.2 h/d, and 5.4% of individuals had PAD. In fully adjusted restricted cubic splines models accounting for traditional PAD risk factors, leg pain, and MVPA, ST had a significant overall (P = .048) and nonlinear (P = .024) association with PAD. A threshold effect was seen such that time spent above median ST was associated with higher odds of PAD. That is, compared to median ST, 1, 2, and 3 hours above median ST were associated with a PAD odds ratio of 1.16 (95% CI = 1.02-1.31), 1.44 (1.06-1.94), and 1.80 (1.11-2.90), respectively. Among Hispanic/Latino adults, ST was associated with higher odds of PAD, independent of leg pain, MVPA, and traditional PAD risk factors. Notably, we observed a threshold effect such that these associations were only observed at the highest levels of ST.
Sections du résumé
BACKGROUND
Experimental evidence suggests that sedentary time (ST) may contribute to cardiovascular disease by eliciting detrimental hemodynamic changes in the lower limbs. However, little is known about objectively measured ST and lower extremity peripheral artery disease (PAD).
METHODS
We included 7,609 Hispanic/Latinos (ages 45-74) from the Hispanic Community Health Study/Study of Latinos. PAD was measured using the ankle brachial index (≤0.9). ST was measured using accelerometry. We used multivariable logistic regression to assess associations of quartiles of ST and PAD, and then used the same logistic models with restricted cubic splines to investigate continuous nonlinear associations of ST and PAD. Models were sequentially adjusted for traditional PAD risk factors, leg pain, and moderate- to vigorous-intensity physical activity (MVPA).
RESULTS
Median ST was 12.2 h/d, and 5.4% of individuals had PAD. In fully adjusted restricted cubic splines models accounting for traditional PAD risk factors, leg pain, and MVPA, ST had a significant overall (P = .048) and nonlinear (P = .024) association with PAD. A threshold effect was seen such that time spent above median ST was associated with higher odds of PAD. That is, compared to median ST, 1, 2, and 3 hours above median ST were associated with a PAD odds ratio of 1.16 (95% CI = 1.02-1.31), 1.44 (1.06-1.94), and 1.80 (1.11-2.90), respectively.
CONCLUSIONS
Among Hispanic/Latino adults, ST was associated with higher odds of PAD, independent of leg pain, MVPA, and traditional PAD risk factors. Notably, we observed a threshold effect such that these associations were only observed at the highest levels of ST.
Identifiants
pubmed: 32105987
pii: S0002-8703(20)30051-X
doi: 10.1016/j.ahj.2020.02.005
pmc: PMC7085461
mid: NIHMS1559425
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
208-219Subventions
Organisme : NHLBI NIH HHS
ID : N01HC65236
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC65235
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC65234
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC65233
Pays : United States
Organisme : NHLBI NIH HHS
ID : T32 HL079891
Pays : United States
Organisme : NHLBI NIH HHS
ID : N01HC65237
Pays : United States
Informations de copyright
Copyright © 2020 Elsevier Inc. All rights reserved.
Références
Am J Prev Med. 2017 Apr;52(4):541-548
pubmed: 28062274
Circulation. 2015 Oct 20;132(16):1560-9
pubmed: 26416808
Am J Clin Nutr. 2014 Jun;99(6):1487-98
pubmed: 24760972
Natl Vital Stat Rep. 2017 Nov;66(5):1-76
pubmed: 29235984
Eur Heart J. 2011 Mar;32(5):590-7
pubmed: 21224291
Vasc Med. 2011 Oct;16(5):365-77
pubmed: 22003002
N Engl J Med. 1999 Jan 14;340(2):115-26
pubmed: 9887164
JAMA. 2001 Oct 3;286(13):1599-606
pubmed: 11585483
Circulation. 2012 Dec 11;126(24):2890-909
pubmed: 23159553
Circ Res. 2015 Apr 24;116(9):1509-26
pubmed: 25908725
Diabetes Care. 2010 Jan;33 Suppl 1:S62-9
pubmed: 20042775
Med Sci Sports Exerc. 2011 Feb;43(2):357-64
pubmed: 20581716
Exp Physiol. 2015 Jul 1;100(7):829-38
pubmed: 25929229
Med Sci Sports Exerc. 2015 Apr;47(4):725-34
pubmed: 25137369
Eur Heart J. 2014 May;35(17):1112-9
pubmed: 24595865
JAMA. 2008 Jul 9;300(2):197-208
pubmed: 18612117
Diabetologia. 2012 Nov;55(11):2895-905
pubmed: 22890825
Ann Epidemiol. 2010 Aug;20(8):642-9
pubmed: 20609344
J Nutr. 2012 Jun;142(6):1009-18
pubmed: 22513989
Circulation. 2017 Mar 21;135(12):e726-e779
pubmed: 27840333
Circulation. 2017 Oct 10;136(15):1362-1373
pubmed: 28835368
J Sports Sci. 2015;33(5):457-66
pubmed: 25333753
Diabetes Care. 2012 May;35(5):976-83
pubmed: 22374636
PLoS One. 2017 Nov 30;12(11):e0188544
pubmed: 29190761
Hypertension. 2018 Nov;72(5):1037-1046
pubmed: 30354827
BMJ Open Diabetes Res Care. 2016 Jun 23;4(1):e000185
pubmed: 27403323
Ann Intern Med. 2015 Jan 20;162(2):123-32
pubmed: 25599350
Cardiovasc Ultrasound. 2014 Dec 15;12:50
pubmed: 25512175
Atherosclerosis. 2016 Apr;247:28-34
pubmed: 26854973
Clin Chem. 1972 Jun;18(6):499-502
pubmed: 4337382
N Engl J Med. 2012 Jul 5;367(1):20-9
pubmed: 22762315
Eur J Epidemiol. 2018 Sep;33(9):811-829
pubmed: 29589226
Curr Diab Rep. 2014;14(9):522
pubmed: 25052856
Stat Med. 2010 Apr 30;29(9):1037-57
pubmed: 20087875
Am J Physiol Heart Circ Physiol. 2017 Oct 1;313(4):H722-H728
pubmed: 28733451
Obesity (Silver Spring). 2015 Sep;23(9):1800-10
pubmed: 26308477
PLoS One. 2011;6(5):e19657
pubmed: 21647427
Sports Med. 2017 Sep;47(9):1821-1845
pubmed: 28303543
Circulation. 2009 Nov 24;120(21):2053-61
pubmed: 19901192
Circulation. 2019 Feb 19;139(8):1036-1046
pubmed: 31031411
Prev Med. 2005 Mar;40(3):293-8
pubmed: 15533542
Cochrane Database Syst Rev. 2014 Jul 18;(7):CD000990
pubmed: 25037027
J Clin Epidemiol. 1998 Nov;51(11):1171-8
pubmed: 9817135
Ann Intern Med. 2017 Oct 3;167(7):465-475
pubmed: 28892811
Am J Physiol Heart Circ Physiol. 2016 Mar 1;310(5):H648-53
pubmed: 26747508
Clin Sci (Lond). 2017 May 10;131(11):1045-1053
pubmed: 28385735
Circulation. 2005 Nov 29;112(22):3501-8
pubmed: 16316971
JAMA Cardiol. 2016 Aug 01;1(5):575-83
pubmed: 27434872
Prev Med Rep. 2015 Oct 22;2:845-53
pubmed: 26844159
Vasc Med. 2015 Aug;20(4):332-8
pubmed: 25883159
J Sports Sci. 2011 May;29(8):783-9
pubmed: 21424979
Ann Epidemiol. 2010 Aug;20(8):629-41
pubmed: 20609343
N Engl J Med. 1992 Feb 6;326(6):381-6
pubmed: 1729621