Literature DB >> 34746382

Targeting Sedentary Behavior in Minority Populations as a Feasible Health Strategy During and Beyond COVID-19: On Behalf of ACSM-EIM and HL-PIVOT.

Patricia Pagan Lassalle1,2, Michelle L Meyer3, Ryan Conners4, Gabriel Zieff1,2, Jacklyn Rojas1, Mark A Faghy2,5, Ross Arena2,6, Amber Vermeesch2,7, Rodney P Joseph8, Lee Stoner1,2.   

Abstract

Increased sedentary behavior has been an unintended consequence of social and physical distancing restrictions needed to limit transmission of SARS-CoV-2, the novel coronavirus that causes COVID-19. Sedentary behavior is defined as any waking behavior characterized by an energy expenditure ≤1.5 metabolic equivalents (METs), while in a sitting, reclining, or lying posture. These restrictions negatively impact peoples' cardiometabolic and mental health and disproportionately affect certain sectors of the population, including racial/ethnic minorities. In part, the higher risk for complications of COVID-19 could be the result of increased prevalence of comorbid diseases. Further, regular participation and adherence to current physical activity guidelines, defined as at least 150 minutes per week of moderate intensity physical activity or muscle strengthening activities on 2 or more days a week, is challenging for many and may be especially difficult to achieve during the COVID-19 pandemic. A practical strategy to promote health and well-being during COVID-19 is reducing sedentary behavior. Reducing sedentary behaviors (e.g., breaking up periods of prolonged sitting with light-intensity physical activity) may be more easily achieved than physical activity for all individuals, including individuals of racial/ethnic decent, as it does not require purchasing equipment nor require compromising the physical restrictions necessary to slow the spread of COVID-19. The purpose of this commentary is to argue that sedentary behavior is a feasible, independent target to modify during COVID-19, particularly in minority populations, and to address this behavior we need to consider individual, environmental and policy-level factors.

Entities:  

Year:  2021        PMID: 34746382      PMCID: PMC8570184          DOI: 10.1249/tjx.0000000000000174

Source DB:  PubMed          Journal:  Transl J Am Coll Sports Med        ISSN: 2379-2868


  40 in total

1.  The applicability of familism to diverse ethnic groups: a preliminary study.

Authors:  Seth J Schwartz
Journal:  J Soc Psychol       Date:  2007-04

Review 2.  Sedentary Behavior, Exercise, and Cardiovascular Health.

Authors:  Carl J Lavie; Cemal Ozemek; Salvatore Carbone; Peter T Katzmarzyk; Steven N Blair
Journal:  Circ Res       Date:  2019-03       Impact factor: 17.367

3.  Socioeconomic Disparities in Health Behaviors.

Authors:  Fred C Pampel; Patrick M Krueger; Justin T Denney
Journal:  Annu Rev Sociol       Date:  2010-08

4.  Prevalence of diabetes and high risk for diabetes using A1C criteria in the U.S. population in 1988-2006.

Authors:  Catherine C Cowie; Keith F Rust; Danita D Byrd-Holt; Edward W Gregg; Earl S Ford; Linda S Geiss; Kathleen E Bainbridge; Judith E Fradkin
Journal:  Diabetes Care       Date:  2010-01-12       Impact factor: 19.112

5.  Everything should be as simple as possible, but no simpler: towards a protocol for accumulating evidence regarding the active content of health behaviour change interventions.

Authors:  Gjalt-Jorn Ygram Peters; Marijn de Bruin; Rik Crutzen
Journal:  Health Psychol Rev       Date:  2013-10-21

Review 6.  Sedentary behavior and health outcomes: an overview of systematic reviews.

Authors:  Leandro Fornias Machado de Rezende; Maurício Rodrigues Lopes; Juan Pablo Rey-López; Victor Keihan Rodrigues Matsudo; Olinda do Carmo Luiz
Journal:  PLoS One       Date:  2014-08-21       Impact factor: 3.240

7.  A tale of two pandemics: How will COVID-19 and global trends in physical inactivity and sedentary behavior affect one another?

Authors:  Grenita Hall; Deepika R Laddu; Shane A Phillips; Carl J Lavie; Ross Arena
Journal:  Prog Cardiovasc Dis       Date:  2020-04-08       Impact factor: 8.194

8.  Wearable Technology To Reduce Sedentary Behavior And CVD Risk In Older Adults: A Pilot Randomized Clinical Trial.

Authors:  Lisa M Roberts; Byron C Jaeger; Liliana C Baptista; Sara A Harper; Anna K Gardner; Elizabeth A Jackson; Dorothy Pekmezi; Bhanuprasad Sandesara; Todd M Manini; Stephen D Anton; Thomas W Buford
Journal:  Clin Interv Aging       Date:  2019-10-23       Impact factor: 4.458

9.  Associations of interruptions to leisure-time sedentary behaviour with symptoms of depression and anxiety.

Authors:  Mats Hallgren; Thi-Thuy-Dung Nguyen; Neville Owen; Davy Vancampfort; Lee Smith; David W Dunstan; Gunnar Andersson; Peter Wallin; Elin Ekblom-Bak
Journal:  Transl Psychiatry       Date:  2020-05-04       Impact factor: 6.222

10.  Accelerometer-measured sedentary time among Hispanic adults: Results from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL).

Authors:  Gina Merchant; Christina Buelna; Sheila F Castañeda; Elva M Arredondo; Simon J Marshall; Garrett Strizich; Daniela Sotres-Alvarez; Earle C Chambers; Robert G McMurray; Kelly R Evenson; Mark Stoutenberg; Arlene L Hankinson; Gregory A Talavera
Journal:  Prev Med Rep       Date:  2015-10-22
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  1 in total

Review 1.  Post pandemic research priorities: A consensus statement from the HL-PIVOT.

Authors:  Mark A Faghy; Ross Arena; Abraham Samuel Babu; Jeffrey W Christle; Susan Marzolini; Dejana Popovic; Amber Vermeesch; Nicolaas P Pronk; Lee Stoner; Andy Smith
Journal:  Prog Cardiovasc Dis       Date:  2022-07-13       Impact factor: 11.278

  1 in total

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