Body Electric: a Pragmatic Trial Evaluating the Viability of Movement Breaks

NCT ID: NCT06592209

Last Updated: 2024-09-19

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

20217 participants

Study Classification

INTERVENTIONAL

Study Start Date

2023-10-03

Study Completion Date

2023-11-09

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

The purpose of this pragmatic trial is to determine the implementation potential of three movement break doses (every 30, 60, or 90 min) under real-world conditions. The main questions it aims to answer are:

* What is the feasibility, acceptability, appropriateness, and compliance to the tested movement break doses under real-world conditions?
* What is the effectiveness of the movement break doses on improving mood, fatigue, and work performance?
* What are the barriers of and facilitators to taking movement breaks across population subgroups (age group, sex, race/ethnicity, employment status, employment setting, and occupation).

Researchers will compare differences in the primary (implementation metrics), secondary (mood, fatigue, and work performance), and exploratory (barriers/facilitators) outcomes across the three trial arms (movement breaks every 30, 60, or 120 minutes).

Participants will:

* Take movement breaks (5 minutes of walking at a self-selected pace) daily according to their dose condition (every 30, 60, or 90 minutes) for two consecutive weeks.
* Complete daily surveys to report compliance, barriers/facilitators, and mood/fatigue/work performance.
* Complete a survey battery at the end of the study to report implementation potential, rank/rate barriers and facilitators, and evaluate mood/fatigue/work performance.

To address the study aims, the investigator will recruit 50,000 adults and will conduct a dosing study that concurrently tests three movement break doses. Participants will complete a 7-day baseline period to assess normal durations of sedentary behavior and movement, followed by a 2-week period during which they will be select a movement break dose to implement in their everyday life for the duration of the program. The break frequency x duration combination will include 5 minute every 30 minutes, 5 minutes every 60 minutes, and 5 minutes every 120 minutes. Work and leisure behaviors, mood, fatigue, and barriers/facilitators will be assessed via survey at enrollment, as well as via daily surveys during the baseline and intervention monitoring periods.

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

U.S. adults spend on average \~11-12 h/day sedentary. Accordingly, the phrase "sitting is the new smoking" has been used to describe an epidemic of developed nations. Daily sedentary time is strongly associated with risk for cardiovascular disease (CVD) morbidity and mortality, irrespective of moderate-vigorous physical activity (MVPA). As such, the 2018 Physical Activity Guidelines for Americans, have expanded beyond promoting MVPA and now also advocate for reductions in sedentary time. These recommendations, however, are very general ("sit less, move more") due to a paucity of data to inform more quantitative recommendations. To inform more specific guidelines, both the 2018 Physical Activity Guidelines Advisory Committee Scientific Report and a scientific advisory on sedentary behavior from the American Heart Association (AHA) have identified a critical research need for studies that compare different doses of reducing sedentary time on health outcomes and evaluate the barriers to real-world implementation of sedentary time reduction strategies. Such studies were deemed to be critical for development of evidence based sedentary behavior guidelines. The proposed study will address this major evidence gap and provide evidence to inform the feasibility of specific, quantitative movement break sedentary behavior recommendations.

Research has implicated sedentary time accrued in prolonged, uninterrupted bouts (e.g., sitting for hours at a time) as potentially the most hazardous form of sedentary behavior; suggestive that regularly breaking up sedentary time with bouts of activity may be an important adjunct to existing physical activity guidelines. Although these data inform which sedentary behavior feature to target, they provide little to inform quantitative guidelines. Thus, only general recommendations to "sit less, move more" have been proposed without specific, actionable targets. The investigator's latest laboratory-based research has documented quantitative guidance regarding (1) How frequent should periods of prolonged sedentary time be interrupted? and (2) What is the appropriate duration of these breaks in sedentary time? However, it is unclear how feasible and acceptable these quantitative recommendations (i.e., taking a walking break every half hour for 5 minutes) are. Moreover, the barriers to and facilitators of successfully implementing breaks in sedentary time during the day are largely unknown.

Primary Aim: To determine the feasibility, acceptability, and appropriateness (i.e., the implementation potential) of and compliance to three movement break doses (every 30, 60, or 120 minutes) under real world conditions.

Secondary Aim: To determine the effect of various movement break doses on mood, fatigue, and work performance.

Exploratory Aim: The successful implementation of movement breaks into mainstream society relies on an understanding of common facilitators and barriers to movement breaks faced by the public across a vast array of population subgroups. This study will map barriers to and facilitators of movement breaks by age group (young, middle-aged, and older adults), sex, race/ethnicity, employment status (full-time, part-time, retired, not working), employment setting (remote, in-person, hybrid), and occupation type.

Excessive sedentary time is highly prevalent in developed nations and linked to increased CVD risk. No evidence-based recommendations exist on how people should break up sedentary time. Evaluating the implementation potential of doses (in frequency and duration) of a movement break intervention that yields improvements across several health indices and establishing barriers/facilitators to movement breaks across population subgroups could have a powerful impact on public health by establishing a recommended movement break dose for future randomized trials and guidelines and laying the foundation to optimize future movement break interventions that address population barriers.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Sedentary Behavior

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Allocation Method

NON_RANDOMIZED

Intervention Model

PARALLEL

Three-arm trial wherein participants self-selected a movement break dose to follow (5 min movement breaks every 30, 60, or 120 min)
Primary Study Purpose

PREVENTION

Blinding Strategy

NONE

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

Every 30 Minutes Movement Break

Participants in the movement breaks every 30 minutes group complete a 7-day baseline period, followed by 2 weeks of the selected dose condition. Participants are asked to complete movement breaks every 30 minutes during all waking hours on weekdays and weekends (i.e. 7 days a week). Information regarding work productivity, energy and fatigue levels, mood, physical activity, and barriers/facilitators to taking movement breaks are collected via either 5 daily SMS surveys throughout the day (9am, 12pm, 3pm, 6pm, 9pm) or one emailed survey at the end of each day (8pm). Survey delivery method is randomized. Participants also provide feedback regarding the feasibility, acceptability, and appropriateness of the intervention.

Group Type EXPERIMENTAL

Sedentary Breaks

Intervention Type BEHAVIORAL

Participants recruited through a podcast series (Body Electric) produced by National Public Radio were asked to select one of three movement break conditions (5 minutes of movement for every 30-, 60-, or 120-minutes of sedentary time). Participants are asked to complete movement breaks during all waking hours on weekdays and weekends (i.e. 7 days a week). During movement breaks, participants are instructed to walk for 5 minutes in whichever way was most comfortable and safe (i.e. self-selected pace and location). Participants who use an assistive device such as a wheelchair or walker, were instructed to wheel, walk, or complete other convenient, comfortable, and safe types of movement such as upper body exercises with resistance bands, chair-based exercises, etc. No break reminders were provided, although participants were encouraged to set reminders in their phones or to utilize commercially available apps or wearable devices.

Every 60 Minutes Movement Break

Participants in the movement breaks every 60 minutes group complete a 7-day baseline period, followed by 2 weeks of the selected dose condition. Participants are asked to complete movement breaks every 60 minutes during all waking hours on weekdays and weekends (i.e. 7 days a week). Information regarding work productivity, energy and fatigue levels, mood, physical activity, and barriers/facilitators to taking movement breaks are collected via either 5 daily SMS surveys throughout the day (9am, 12pm, 3pm, 6pm, 9pm) or one emailed survey at the end of each day (8pm). Survey delivery method is randomized. Participants also provide feedback regarding the feasibility, acceptability, and appropriateness of the intervention.

Group Type EXPERIMENTAL

Sedentary Breaks

Intervention Type BEHAVIORAL

Participants recruited through a podcast series (Body Electric) produced by National Public Radio were asked to select one of three movement break conditions (5 minutes of movement for every 30-, 60-, or 120-minutes of sedentary time). Participants are asked to complete movement breaks during all waking hours on weekdays and weekends (i.e. 7 days a week). During movement breaks, participants are instructed to walk for 5 minutes in whichever way was most comfortable and safe (i.e. self-selected pace and location). Participants who use an assistive device such as a wheelchair or walker, were instructed to wheel, walk, or complete other convenient, comfortable, and safe types of movement such as upper body exercises with resistance bands, chair-based exercises, etc. No break reminders were provided, although participants were encouraged to set reminders in their phones or to utilize commercially available apps or wearable devices.

Every 120 Minutes Movement Break

Participants in the movement breaks every 120 minutes group complete a 7-day baseline period, followed by 2 weeks of the selected dose condition. Participants are asked to complete movement breaks every 120 minutes during all waking hours on weekdays and weekends (i.e. 7 days a week). Information regarding work productivity, energy and fatigue levels, mood, physical activity, and barriers/facilitators to taking movement breaks are collected via either 5 daily SMS surveys throughout the day (9am, 12pm, 3pm, 6pm, 9pm) or one emailed survey at the end of each day (8pm). Survey delivery method is randomized. Participants also provide feedback regarding the feasibility, acceptability, and appropriateness of the intervention.

Group Type EXPERIMENTAL

Sedentary Breaks

Intervention Type BEHAVIORAL

Participants recruited through a podcast series (Body Electric) produced by National Public Radio were asked to select one of three movement break conditions (5 minutes of movement for every 30-, 60-, or 120-minutes of sedentary time). Participants are asked to complete movement breaks during all waking hours on weekdays and weekends (i.e. 7 days a week). During movement breaks, participants are instructed to walk for 5 minutes in whichever way was most comfortable and safe (i.e. self-selected pace and location). Participants who use an assistive device such as a wheelchair or walker, were instructed to wheel, walk, or complete other convenient, comfortable, and safe types of movement such as upper body exercises with resistance bands, chair-based exercises, etc. No break reminders were provided, although participants were encouraged to set reminders in their phones or to utilize commercially available apps or wearable devices.

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

Sedentary Breaks

Participants recruited through a podcast series (Body Electric) produced by National Public Radio were asked to select one of three movement break conditions (5 minutes of movement for every 30-, 60-, or 120-minutes of sedentary time). Participants are asked to complete movement breaks during all waking hours on weekdays and weekends (i.e. 7 days a week). During movement breaks, participants are instructed to walk for 5 minutes in whichever way was most comfortable and safe (i.e. self-selected pace and location). Participants who use an assistive device such as a wheelchair or walker, were instructed to wheel, walk, or complete other convenient, comfortable, and safe types of movement such as upper body exercises with resistance bands, chair-based exercises, etc. No break reminders were provided, although participants were encouraged to set reminders in their phones or to utilize commercially available apps or wearable devices.

Intervention Type BEHAVIORAL

Other Intervention Names

Discover alternative or legacy names that may be used to describe the listed interventions across different sources.

Movement Breaks

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* 18 years of age or older
* English speaking
* Access to a smart phone with a data and text messaging plan

Exclusion Criteria

* Recent history of bone, joint, or soft tissue injury that would be worsened by exercise
* Chest pain at rest, during activities of daily living, or with movement
* Instructions from a physician requiring supervised exercise
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

Columbia University

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Keith Diaz

Associate Professor of Behavioral Medicine

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

Learn about the lead researchers overseeing the trial and their institutional affiliations.

Keith M Diaz, PhD

Role: PRINCIPAL_INVESTIGATOR

Florence Irving Associate Professor of Behavioral Medicine

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

Columbia University Medical Center

New York, New York, United States

Site Status

Countries

Review the countries where the study has at least one active or historical site.

United States

References

Explore related publications, articles, or registry entries linked to this study.

Archer E, Shook RP, Thomas DM, Church TS, Katzmarzyk PT, Hebert JR, McIver KL, Hand GA, Lavie CJ, Blair SN. 45-Year trends in women's use of time and household management energy expenditure. PLoS One. 2013;8(2):e56620. doi: 10.1371/journal.pone.0056620. Epub 2013 Feb 20.

Reference Type BACKGROUND
PMID: 23437187 (View on PubMed)

Church TS, Earnest CP, Skinner JS, Blair SN. Effects of different doses of physical activity on cardiorespiratory fitness among sedentary, overweight or obese postmenopausal women with elevated blood pressure: a randomized controlled trial. JAMA. 2007 May 16;297(19):2081-91. doi: 10.1001/jama.297.19.2081.

Reference Type BACKGROUND
PMID: 17507344 (View on PubMed)

van der Ploeg HP, Venugopal K, Chau JY, van Poppel MNM, Breedveld K, Merom D, Bauman AE. Non-occupational sedentary behaviors: population changes in The Netherlands, 1975-2005. Am J Prev Med. 2013 Apr;44(4):382-387. doi: 10.1016/j.amepre.2012.11.034.

Reference Type BACKGROUND
PMID: 23498104 (View on PubMed)

Dunstan DW, Howard B, Healy GN, Owen N. Too much sitting--a health hazard. Diabetes Res Clin Pract. 2012 Sep;97(3):368-76. doi: 10.1016/j.diabres.2012.05.020. Epub 2012 Jun 9.

Reference Type BACKGROUND
PMID: 22682948 (View on PubMed)

Brownson RC, Boehmer TK, Luke DA. Declining rates of physical activity in the United States: what are the contributors? Annu Rev Public Health. 2005;26:421-43. doi: 10.1146/annurev.publhealth.26.021304.144437.

Reference Type BACKGROUND
PMID: 15760296 (View on PubMed)

Diaz KM, Howard VJ, Hutto B, Colabianchi N, Vena JE, Blair SN, Hooker SP. Patterns of Sedentary Behavior in US Middle-Age and Older Adults: The REGARDS Study. Med Sci Sports Exerc. 2016 Mar;48(3):430-8. doi: 10.1249/MSS.0000000000000792.

Reference Type BACKGROUND
PMID: 26460633 (View on PubMed)

Biswas A, Oh PI, Faulkner GE, Bajaj RR, Silver MA, Mitchell MS, Alter DA. Sedentary time and its association with risk for disease incidence, mortality, and hospitalization in adults: a systematic review and meta-analysis. Ann Intern Med. 2015 Jan 20;162(2):123-32. doi: 10.7326/M14-1651.

Reference Type BACKGROUND
PMID: 25599350 (View on PubMed)

Diaz KM, Howard VJ, Hutto B, Colabianchi N, Vena JE, Safford MM, Blair SN, Hooker SP. Patterns of Sedentary Behavior and Mortality in U.S. Middle-Aged and Older Adults: A National Cohort Study. Ann Intern Med. 2017 Oct 3;167(7):465-475. doi: 10.7326/M17-0212. Epub 2017 Sep 12.

Reference Type BACKGROUND
PMID: 28892811 (View on PubMed)

Thorp AA, Owen N, Neuhaus M, Dunstan DW. Sedentary behaviors and subsequent health outcomes in adults a systematic review of longitudinal studies, 1996-2011. Am J Prev Med. 2011 Aug;41(2):207-15. doi: 10.1016/j.amepre.2011.05.004.

Reference Type BACKGROUND
PMID: 21767729 (View on PubMed)

Wilmot EG, Edwardson CL, Achana FA, Davies MJ, Gorely T, Gray LJ, Khunti K, Yates T, Biddle SJ. Sedentary time in adults and the association with diabetes, cardiovascular disease and death: systematic review and meta-analysis. Diabetologia. 2012 Nov;55(11):2895-905. doi: 10.1007/s00125-012-2677-z. Epub 2012 Aug 14.

Reference Type BACKGROUND
PMID: 22890825 (View on PubMed)

Ekelund U, Tarp J, Steene-Johannessen J, Hansen BH, Jefferis B, Fagerland MW, Whincup P, Diaz KM, Hooker SP, Chernofsky A, Larson MG, Spartano N, Vasan RS, Dohrn IM, Hagstromer M, Edwardson C, Yates T, Shiroma E, Anderssen SA, Lee IM. Dose-response associations between accelerometry measured physical activity and sedentary time and all cause mortality: systematic review and harmonised meta-analysis. BMJ. 2019 Aug 21;366:l4570. doi: 10.1136/bmj.l4570.

Reference Type BACKGROUND
PMID: 31434697 (View on PubMed)

Patterson R, McNamara E, Tainio M, de Sa TH, Smith AD, Sharp SJ, Edwards P, Woodcock J, Brage S, Wijndaele K. Sedentary behaviour and risk of all-cause, cardiovascular and cancer mortality, and incident type 2 diabetes: a systematic review and dose response meta-analysis. Eur J Epidemiol. 2018 Sep;33(9):811-829. doi: 10.1007/s10654-018-0380-1. Epub 2018 Mar 28.

Reference Type BACKGROUND
PMID: 29589226 (View on PubMed)

Young DR, Hivert MF, Alhassan S, Camhi SM, Ferguson JF, Katzmarzyk PT, Lewis CE, Owen N, Perry CK, Siddique J, Yong CM; Physical Activity Committee of the Council on Lifestyle and Cardiometabolic Health; Council on Clinical Cardiology; Council on Epidemiology and Prevention; Council on Functional Genomics and Translational Biology; and Stroke Council. Sedentary Behavior and Cardiovascular Morbidity and Mortality: A Science Advisory From the American Heart Association. Circulation. 2016 Sep 27;134(13):e262-79. doi: 10.1161/CIR.0000000000000440. Epub 2016 Aug 15.

Reference Type BACKGROUND
PMID: 27528691 (View on PubMed)

Heron L, O'Neill C, McAneney H, Kee F, Tully MA. Direct healthcare costs of sedentary behaviour in the UK. J Epidemiol Community Health. 2019 Jul;73(7):625-629. doi: 10.1136/jech-2018-211758. Epub 2019 Mar 25.

Reference Type BACKGROUND
PMID: 30910857 (View on PubMed)

Katzmarzyk PT, Powell KE, Jakicic JM, Troiano RP, Piercy K, Tennant B; 2018 PHYSICAL ACTIVITY GUIDELINES ADVISORY COMMITTEE*. Sedentary Behavior and Health: Update from the 2018 Physical Activity Guidelines Advisory Committee. Med Sci Sports Exerc. 2019 Jun;51(6):1227-1241. doi: 10.1249/MSS.0000000000001935.

Reference Type BACKGROUND
PMID: 31095080 (View on PubMed)

Matthews CE, George SM, Moore SC, Bowles HR, Blair A, Park Y, Troiano RP, Hollenbeck A, Schatzkin A. Amount of time spent in sedentary behaviors and cause-specific mortality in US adults. Am J Clin Nutr. 2012 Feb;95(2):437-45. doi: 10.3945/ajcn.111.019620. Epub 2012 Jan 4.

Reference Type BACKGROUND
PMID: 22218159 (View on PubMed)

Saunders TJ, Larouche R, Colley RC, Tremblay MS. Acute sedentary behaviour and markers of cardiometabolic risk: a systematic review of intervention studies. J Nutr Metab. 2012;2012:712435. doi: 10.1155/2012/712435. Epub 2012 Jun 17.

Reference Type BACKGROUND
PMID: 22754695 (View on PubMed)

Duvivier BM, Schaper NC, Bremers MA, van Crombrugge G, Menheere PP, Kars M, Savelberg HH. Minimal intensity physical activity (standing and walking) of longer duration improves insulin action and plasma lipids more than shorter periods of moderate to vigorous exercise (cycling) in sedentary subjects when energy expenditure is comparable. PLoS One. 2013;8(2):e55542. doi: 10.1371/journal.pone.0055542. Epub 2013 Feb 13.

Reference Type BACKGROUND
PMID: 23418444 (View on PubMed)

Prince SA, Saunders TJ, Gresty K, Reid RD. A comparison of the effectiveness of physical activity and sedentary behaviour interventions in reducing sedentary time in adults: a systematic review and meta-analysis of controlled trials. Obes Rev. 2014 Nov;15(11):905-19. doi: 10.1111/obr.12215. Epub 2014 Aug 11.

Reference Type BACKGROUND
PMID: 25112481 (View on PubMed)

Piercy KL, Troiano RP, Ballard RM, Carlson SA, Fulton JE, Galuska DA, George SM, Olson RD. The Physical Activity Guidelines for Americans. JAMA. 2018 Nov 20;320(19):2020-2028. doi: 10.1001/jama.2018.14854.

Reference Type BACKGROUND
PMID: 30418471 (View on PubMed)

Davies S, Atherton F, McBride M, Calderwood C. UK Chief Medical Officers' Physical Activity Guidelines. Chief Medical Officers. 2019.

Reference Type BACKGROUND

Garber CE, Blissmer B, Deschenes MR, Franklin BA, Lamonte MJ, Lee IM, Nieman DC, Swain DP; American College of Sports Medicine. American College of Sports Medicine position stand. Quantity and quality of exercise for developing and maintaining cardiorespiratory, musculoskeletal, and neuromotor fitness in apparently healthy adults: guidance for prescribing exercise. Med Sci Sports Exerc. 2011 Jul;43(7):1334-59. doi: 10.1249/MSS.0b013e318213fefb.

Reference Type BACKGROUND
PMID: 21694556 (View on PubMed)

Global Recommendations on Physical Activity for Health. Geneva: World Health Organization; 2010. Available from http://www.ncbi.nlm.nih.gov/books/NBK305057/

Reference Type BACKGROUND
PMID: 26180873 (View on PubMed)

Zealand N, McIntyre L, Dutton M. Eating and activity guidelines for new zealand adults. Ministry of Health; 2015.

Reference Type BACKGROUND

Australian Government Department of Health. Australia's physical activity and sedentary behaviour guidelines. Dep Heal Website. 2014.

Reference Type BACKGROUND

Tremblay MS, Carson V, Chaput JP, Connor Gorber S, Dinh T, Duggan M, Faulkner G, Gray CE, Gruber R, Janson K, Janssen I, Katzmarzyk PT, Kho ME, Latimer-Cheung AE, LeBlanc C, Okely AD, Olds T, Pate RR, Phillips A, Poitras VJ, Rodenburg S, Sampson M, Saunders TJ, Stone JA, Stratton G, Weiss SK, Zehr L. Canadian 24-Hour Movement Guidelines for Children and Youth: An Integration of Physical Activity, Sedentary Behaviour, and Sleep. Appl Physiol Nutr Metab. 2016 Jun;41(6 Suppl 3):S311-27. doi: 10.1139/apnm-2016-0151.

Reference Type BACKGROUND
PMID: 27306437 (View on PubMed)

Fuzeki E, Vogt L, Banzer W. [German National Physical Activity Recommendations for Adults and Older Adults: Methods, Database and Rationale]. Gesundheitswesen. 2017 Mar;79(S 01):S20-S28. doi: 10.1055/s-0042-123700. Epub 2017 Apr 11. German.

Reference Type BACKGROUND
PMID: 28399582 (View on PubMed)

Colberg SR, Sigal RJ, Yardley JE, Riddell MC, Dunstan DW, Dempsey PC, Horton ES, Castorino K, Tate DF. Physical Activity/Exercise and Diabetes: A Position Statement of the American Diabetes Association. Diabetes Care. 2016 Nov;39(11):2065-2079. doi: 10.2337/dc16-1728. No abstract available.

Reference Type BACKGROUND
PMID: 27926890 (View on PubMed)

Physical Activity Guidelines Advistory Committee. Physical activity guidelines advisory committee report, 2018. Washington, DC: US Department of Health and Human Services; 2018.

Reference Type BACKGROUND

Chastin SF, Egerton T, Leask C, Stamatakis E. Meta-analysis of the relationship between breaks in sedentary behavior and cardiometabolic health. Obesity (Silver Spring). 2015 Sep;23(9):1800-10. doi: 10.1002/oby.21180.

Reference Type BACKGROUND
PMID: 26308477 (View on PubMed)

Saunders TJ, Atkinson HF, Burr J, MacEwen B, Skeaff CM, Peddie MC. The Acute Metabolic and Vascular Impact of Interrupting Prolonged Sitting: A Systematic Review and Meta-Analysis. Sports Med. 2018 Oct;48(10):2347-2366. doi: 10.1007/s40279-018-0963-8.

Reference Type BACKGROUND
PMID: 30078066 (View on PubMed)

Dunstan DW, Kingwell BA, Larsen R, Healy GN, Cerin E, Hamilton MT, Shaw JE, Bertovic DA, Zimmet PZ, Salmon J, Owen N. Breaking up prolonged sitting reduces postprandial glucose and insulin responses. Diabetes Care. 2012 May;35(5):976-83. doi: 10.2337/dc11-1931. Epub 2012 Feb 28.

Reference Type BACKGROUND
PMID: 22374636 (View on PubMed)

Howard BJ, Fraser SF, Sethi P, Cerin E, Hamilton MT, Owen N, Dunstan DW, Kingwell BA. Impact on hemostatic parameters of interrupting sitting with intermittent activity. Med Sci Sports Exerc. 2013 Jul;45(7):1285-91. doi: 10.1249/MSS.0b013e318285f57e.

Reference Type BACKGROUND
PMID: 23439415 (View on PubMed)

Bailey DP, Locke CD. Breaking up prolonged sitting with light-intensity walking improves postprandial glycemia, but breaking up sitting with standing does not. J Sci Med Sport. 2015 May;18(3):294-8. doi: 10.1016/j.jsams.2014.03.008. Epub 2014 Mar 20.

Reference Type BACKGROUND
PMID: 24704421 (View on PubMed)

Carter SE, Draijer R, Holder SM, Brown L, Thijssen DHJ, Hopkins ND. Effect of different walking break strategies on superficial femoral artery endothelial function. Physiol Rep. 2019 Aug;7(16):e14190. doi: 10.14814/phy2.14190.

Reference Type BACKGROUND
PMID: 31423757 (View on PubMed)

Scutti S. Yes, sitting too long can kill you, even if you exercise. CNN. 2017

Reference Type BACKGROUND

Peddie MC, Bone JL, Rehrer NJ, Skeaff CM, Gray AR, Perry TL. Breaking prolonged sitting reduces postprandial glycemia in healthy, normal-weight adults: a randomized crossover trial. Am J Clin Nutr. 2013 Aug;98(2):358-66. doi: 10.3945/ajcn.112.051763. Epub 2013 Jun 26.

Reference Type BACKGROUND
PMID: 23803893 (View on PubMed)

Altenburg TM, Rotteveel J, Dunstan DW, Salmon J, Chinapaw MJ. The effect of interrupting prolonged sitting time with short, hourly, moderate-intensity cycling bouts on cardiometabolic risk factors in healthy, young adults. J Appl Physiol (1985). 2013 Dec;115(12):1751-6. doi: 10.1152/japplphysiol.00662.2013. Epub 2013 Oct 17.

Reference Type BACKGROUND
PMID: 24136111 (View on PubMed)

Czajkowski SM. News from NIH: using basic behavioral science to develop better behavioral interventions. Transl Behav Med. 2011 Dec;1(4):507-8. doi: 10.1007/s13142-011-0079-2. No abstract available.

Reference Type BACKGROUND
PMID: 24073070 (View on PubMed)

Czajkowski SM, Powell LH, Adler N, Naar-King S, Reynolds KD, Hunter CM, Laraia B, Olster DH, Perna FM, Peterson JC, Epel E, Boyington JE, Charlson ME. From ideas to efficacy: The ORBIT model for developing behavioral treatments for chronic diseases. Health Psychol. 2015 Oct;34(10):971-82. doi: 10.1037/hea0000161. Epub 2015 Feb 2.

Reference Type BACKGROUND
PMID: 25642841 (View on PubMed)

Naar S, Czajkowski SM, Spring B. Innovative study designs and methods for optimizing and implementing behavioral interventions to improve health. Health Psychol. 2018 Dec;37(12):1081-1091. doi: 10.1037/hea0000657. Epub 2018 Oct 11.

Reference Type BACKGROUND
PMID: 30307270 (View on PubMed)

National Institute of Aging. The NIH Stage Model for behavioral intervention development. https://www.nia.nih.gov/research/dbsr/nih-stage-model-behavioral-intervention-development.

Reference Type BACKGROUND

Prince SA, Reed JL, Cotie LM, Harris J, Pipe AL, Reid RD. Results of the Sedentary Intervention Trial in Cardiac Rehabilitation (SIT-CR Study): A pilot randomized controlled trial. Int J Cardiol. 2018 Oct 15;269:317-324. doi: 10.1016/j.ijcard.2018.07.082. Epub 2018 Jul 19.

Reference Type BACKGROUND
PMID: 30072156 (View on PubMed)

Elkind MS, Sacco RL, MacArthur RB, Fink DJ, Peerschke E, Andrews H, Neils G, Stillman J, Corporan T, Leifer D, Cheung K. The Neuroprotection with Statin Therapy for Acute Recovery Trial (NeuSTART): an adaptive design phase I dose-escalation study of high-dose lovastatin in acute ischemic stroke. Int J Stroke. 2008 Aug;3(3):210-8. doi: 10.1111/j.1747-4949.2008.00200.x.

Reference Type BACKGROUND
PMID: 18705902 (View on PubMed)

Muler JH, McGinn CJ, Normolle D, Lawrence T, Brown D, Hejna G, Zalupski MM. Phase I trial using a time-to-event continual reassessment strategy for dose escalation of cisplatin combined with gemcitabine and radiation therapy in pancreatic cancer. J Clin Oncol. 2004 Jan 15;22(2):238-43. doi: 10.1200/JCO.2004.03.129. Epub 2003 Dec 9.

Reference Type BACKGROUND
PMID: 14665608 (View on PubMed)

Gordon PH, Cheung YK, Levin B, Andrews H, Doorish C, Macarthur RB, Montes J, Bednarz K, Florence J, Rowin J, Boylan K, Mozaffar T, Tandan R, Mitsumoto H, Kelvin EA, Chapin J, Bedlack R, Rivner M, McCluskey LF, Pestronk A, Graves M, Sorenson EJ, Barohn RJ, Belsh JM, Lou JS, Levine T, Saperstein D, Miller RG, Scelsa SN; Combination Drug Selection Trial Study Group. A novel, efficient, randomized selection trial comparing combinations of drug therapy for ALS. Amyotroph Lateral Scler. 2008 Aug;9(4):212-22. doi: 10.1080/17482960802195632.

Reference Type BACKGROUND
PMID: 18608093 (View on PubMed)

Sniehotta FF. Towards a theory of intentional behaviour change: plans, planning, and self-regulation. Br J Health Psychol. 2009 May;14(Pt 2):261-73. doi: 10.1348/135910708X389042. Epub 2008 Dec 19.

Reference Type BACKGROUND
PMID: 19102817 (View on PubMed)

Locke EA, Latham GP. Building a practically useful theory of goal setting and task motivation. A 35-year odyssey. Am Psychol. 2002 Sep;57(9):705-17. doi: 10.1037//0003-066x.57.9.705.

Reference Type BACKGROUND
PMID: 12237980 (View on PubMed)

Michie S, Johnston M, Francis J, Hardeman W, Eccles M. From theory to intervention: Mapping theoretically derived behavioural determinants to behaviour change techniques. Applied psychology. 2008;57:660-680.

Reference Type BACKGROUND

Williams SL, French DP. What are the most effective intervention techniques for changing physical activity self-efficacy and physical activity behaviour--and are they the same? Health Educ Res. 2011 Apr;26(2):308-22. doi: 10.1093/her/cyr005. Epub 2011 Feb 14.

Reference Type BACKGROUND
PMID: 21321008 (View on PubMed)

Mander AP, Sweeting MJ. A product of independent beta probabilities dose escalation design for dual-agent phase I trials. Stat Med. 2015 Apr 15;34(8):1261-76. doi: 10.1002/sim.6434. Epub 2015 Jan 29.

Reference Type BACKGROUND
PMID: 25630638 (View on PubMed)

Oe Y, Shimbo D, Ishikawa J, Okajima K, Hasegawa T, Diaz KM, Muntner P, Homma S, Schwartz JE. Alterations in diastolic function in masked hypertension: findings from the masked hypertension study. Am J Hypertens. 2013 Jun;26(6):808-15. doi: 10.1093/ajh/hpt021. Epub 2013 Feb 27.

Reference Type BACKGROUND
PMID: 23446956 (View on PubMed)

Booth JN 3rd, Muntner P, Diaz KM, Viera AJ, Bello NA, Schwartz JE, Shimbo D. Evaluation of Criteria to Detect Masked Hypertension. J Clin Hypertens (Greenwich). 2016 Nov;18(11):1086-1094. doi: 10.1111/jch.12830. Epub 2016 Apr 29.

Reference Type BACKGROUND
PMID: 27126770 (View on PubMed)

Ensari I, Burg MM, Diaz KM, Fu J, Duran AT, Suls JM, Sumner JA, Monane R, Julian JE, Zhao S, Chaplin WF, Shimbo D. Putative mechanisms Underlying Myocardial infarction onset and Emotions (PUME): a randomised controlled study protocol. BMJ Open. 2018 May 31;8(5):e020525. doi: 10.1136/bmjopen-2017-020525.

Reference Type BACKGROUND
PMID: 29858417 (View on PubMed)

Muntner P, Shimbo D, Carey RM, Charleston JB, Gaillard T, Misra S, Myers MG, Ogedegbe G, Schwartz JE, Townsend RR, Urbina EM, Viera AJ, White WB, Wright JT Jr. Measurement of Blood Pressure in Humans: A Scientific Statement From the American Heart Association. Hypertension. 2019 May;73(5):e35-e66. doi: 10.1161/HYP.0000000000000087.

Reference Type BACKGROUND
PMID: 30827125 (View on PubMed)

Muntner P, Einhorn PT, Cushman WC, Whelton PK, Bello NA, Drawz PE, Green BB, Jones DW, Juraschek SP, Margolis KL, Miller ER 3rd, Navar AM, Ostchega Y, Rakotz MK, Rosner B, Schwartz JE, Shimbo D, Stergiou GS, Townsend RR, Williamson JD, Wright JT Jr, Appel LJ; 2017 National Heart, Lung, and Blood Institute Working Group. Blood Pressure Assessment in Adults in Clinical Practice and Clinic-Based Research: JACC Scientific Expert Panel. J Am Coll Cardiol. 2019 Jan 29;73(3):317-335. doi: 10.1016/j.jacc.2018.10.069.

Reference Type BACKGROUND
PMID: 30678763 (View on PubMed)

Schwartz JE, Burg MM, Shimbo D, Broderick JE, Stone AA, Ishikawa J, Sloan R, Yurgel T, Grossman S, Pickering TG. Clinic Blood Pressure Underestimates Ambulatory Blood Pressure in an Untreated Employer-Based US Population: Results From the Masked Hypertension Study. Circulation. 2016 Dec 6;134(23):1794-1807. doi: 10.1161/CIRCULATIONAHA.116.023404.

Reference Type BACKGROUND
PMID: 27920072 (View on PubMed)

Anstey DE, Muntner P, Bello NA, Pugliese DN, Yano Y, Kronish IM, Reynolds K, Schwartz JE, Shimbo D. Diagnosing Masked Hypertension Using Ambulatory Blood Pressure Monitoring, Home Blood Pressure Monitoring, or Both? Hypertension. 2018 Nov;72(5):1200-1207. doi: 10.1161/HYPERTENSIONAHA.118.11319.

Reference Type BACKGROUND
PMID: 30354812 (View on PubMed)

Reyes-Soffer G, Ngai CI, Lovato L, Karmally W, Ramakrishnan R, Holleran S, Ginsberg HN. Effect of combination therapy with fenofibrate and simvastatin on postprandial lipemia in the ACCORD lipid trial. Diabetes Care. 2013 Feb;36(2):422-8. doi: 10.2337/dc11-2556. Epub 2012 Oct 1.

Reference Type BACKGROUND
PMID: 23033246 (View on PubMed)

Reyes G, Yasunaga K, Rothenstein E, Karmally W, Ramakrishnan R, Holleran S, Ginsberg HN. Effects of a 1,3-diacylglycerol oil-enriched diet on postprandial lipemia in people with insulin resistance. J Lipid Res. 2008 Mar;49(3):670-8. doi: 10.1194/jlr.P700019-JLR200. Epub 2007 Dec 18.

Reference Type BACKGROUND
PMID: 18089891 (View on PubMed)

Davidson MH, Stein EA, Bays HE, Maki KC, Doyle RT, Shalwitz RA, Ballantyne CM, Ginsberg HN; COMBination of prescription Omega-3 with Simvastatin (COMBOS) Investigators. Efficacy and tolerability of adding prescription omega-3 fatty acids 4 g/d to simvastatin 40 mg/d in hypertriglyceridemic patients: an 8-week, randomized, double-blind, placebo-controlled study. Clin Ther. 2007 Jul;29(7):1354-67. doi: 10.1016/j.clinthera.2007.07.018.

Reference Type BACKGROUND
PMID: 17825687 (View on PubMed)

ACCORD Study Group; Buse JB, Bigger JT, Byington RP, Cooper LS, Cushman WC, Friedewald WT, Genuth S, Gerstein HC, Ginsberg HN, Goff DC Jr, Grimm RH Jr, Margolis KL, Probstfield JL, Simons-Morton DG, Sullivan MD. Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial: design and methods. Am J Cardiol. 2007 Jun 18;99(12A):21i-33i. doi: 10.1016/j.amjcard.2007.03.003. Epub 2007 Apr 16.

Reference Type BACKGROUND
PMID: 17599422 (View on PubMed)

Karmally W, Montez MG, Palmas W, Martinez W, Branstetter A, Ramakrishnan R, Holleran SF, Haffner SM, Ginsberg HN. Cholesterol-lowering benefits of oat-containing cereal in Hispanic americans. J Am Diet Assoc. 2005 Jun;105(6):967-70. doi: 10.1016/j.jada.2005.03.006.

Reference Type BACKGROUND
PMID: 15942550 (View on PubMed)

Kastelein JJ, Ginsberg HN, Langslet G, Hovingh GK, Ceska R, Dufour R, Blom D, Civeira F, Krempf M, Lorenzato C, Zhao J, Pordy R, Baccara-Dinet MT, Gipe DA, Geiger MJ, Farnier M. ODYSSEY FH I and FH II: 78 week results with alirocumab treatment in 735 patients with heterozygous familial hypercholesterolaemia. Eur Heart J. 2015 Nov 14;36(43):2996-3003. doi: 10.1093/eurheartj/ehv370. Epub 2015 Sep 1.

Reference Type BACKGROUND
PMID: 26330422 (View on PubMed)

Ginsberg HN, Barr SL, Gilbert A, Karmally W, Deckelbaum R, Kaplan K, Ramakrishnan R, Holleran S, Dell RB. Reduction of plasma cholesterol levels in normal men on an American Heart Association Step 1 diet or a Step 1 diet with added monounsaturated fat. N Engl J Med. 1990 Mar 1;322(9):574-9. doi: 10.1056/NEJM199003013220902.

Reference Type BACKGROUND
PMID: 2304504 (View on PubMed)

Nagashima K, Lopez C, Donovan D, Ngai C, Fontanez N, Bensadoun A, Fruchart-Najib J, Holleran S, Cohn JS, Ramakrishnan R, Ginsberg HN. Effects of the PPARgamma agonist pioglitazone on lipoprotein metabolism in patients with type 2 diabetes mellitus. J Clin Invest. 2005 May;115(5):1323-32. doi: 10.1172/JCI23219. Epub 2005 Apr 1.

Reference Type BACKGROUND
PMID: 15841215 (View on PubMed)

Ginsberg HN, Karmally W, Siddiqui M, Holleran S, Tall AR, Rumsey SC, Deckelbaum RJ, Blaner WS, Ramakrishnan R. A dose-response study of the effects of dietary cholesterol on fasting and postprandial lipid and lipoprotein metabolism in healthy young men. Arterioscler Thromb. 1994 Apr;14(4):576-86. doi: 10.1161/01.atv.14.4.576.

Reference Type BACKGROUND
PMID: 8148356 (View on PubMed)

Saland JM, Satlin LM, Zalsos-Johnson J, Cremers S, Ginsberg HN. Impaired postprandial lipemic response in chronic kidney disease. Kidney Int. 2016 Jul;90(1):172-80. doi: 10.1016/j.kint.2016.02.031. Epub 2016 May 7.

Reference Type BACKGROUND
PMID: 27162092 (View on PubMed)

Ginsberg HN, Kris-Etherton P, Dennis B, Elmer PJ, Ershow A, Lefevre M, Pearson T, Roheim P, Ramakrishnan R, Reed R, Stewart K, Stewart P, Phillips K, Anderson N. Effects of reducing dietary saturated fatty acids on plasma lipids and lipoproteins in healthy subjects: the DELTA Study, protocol 1. Arterioscler Thromb Vasc Biol. 1998 Mar;18(3):441-9. doi: 10.1161/01.atv.18.3.441.

Reference Type BACKGROUND
PMID: 9514413 (View on PubMed)

Fard A, Tuck CH, Donis JA, Sciacca R, Di Tullio MR, Wu HD, Bryant TA, Chen NT, Torres-Tamayo M, Ramasamy R, Berglund L, Ginsberg HN, Homma S, Cannon PJ. Acute elevations of plasma asymmetric dimethylarginine and impaired endothelial function in response to a high-fat meal in patients with type 2 diabetes. Arterioscler Thromb Vasc Biol. 2000 Sep;20(9):2039-44. doi: 10.1161/01.atv.20.9.2039.

Reference Type BACKGROUND
PMID: 10978246 (View on PubMed)

Berglund L, Lefevre M, Ginsberg HN, Kris-Etherton PM, Elmer PJ, Stewart PW, Ershow A, Pearson TA, Dennis BH, Roheim PS, Ramakrishnan R, Reed R, Stewart K, Phillips KM; DELTA Investigators. Comparison of monounsaturated fat with carbohydrates as a replacement for saturated fat in subjects with a high metabolic risk profile: studies in the fasting and postprandial states. Am J Clin Nutr. 2007 Dec;86(6):1611-20. doi: 10.1093/ajcn/86.5.1611.

Reference Type BACKGROUND
PMID: 18065577 (View on PubMed)

Ginsberg HN, Jones J, Blaner WS, Thomas A, Karmally W, Fields L, Blood D, Begg MD. Association of postprandial triglyceride and retinyl palmitate responses with newly diagnosed exercise-induced myocardial ischemia in middle-aged men and women. Arterioscler Thromb Vasc Biol. 1995 Nov;15(11):1829-38. doi: 10.1161/01.atv.15.11.1829.

Reference Type BACKGROUND
PMID: 7583562 (View on PubMed)

Cheung YK. Sample size formulae for the Bayesian continual reassessment method. Clin Trials. 2013;10(6):852-61. doi: 10.1177/1740774513497294. Epub 2013 Aug 21.

Reference Type BACKGROUND
PMID: 23965547 (View on PubMed)

Cheung YK. Coherence principles in dose-finding studies. Biometrika. 2005;92:863-873.

Reference Type BACKGROUND

Cheung YK. Dose finding by the continual reassessment method. Boca Raton: Taylor & Francis; 2011.

Reference Type BACKGROUND

Lee SM, Ying Kuen Cheung. Model calibration in the continual reassessment method. Clin Trials. 2009 Jun;6(3):227-38. doi: 10.1177/1740774509105076.

Reference Type BACKGROUND
PMID: 19528132 (View on PubMed)

Lee SM, Cheung YK. Calibration of prior variance in the Bayesian continual reassessment method. Stat Med. 2011 Jul 30;30(17):2081-9. doi: 10.1002/sim.4139. Epub 2011 Mar 17.

Reference Type BACKGROUND
PMID: 21413054 (View on PubMed)

Wheeler GM, Sweeting MJ, Mander AP, Lee SM, Cheung YK. Modelling semi-attributable toxicity in dual-agent phase I trials with non-concurrent drug administration. Stat Med. 2017 Jan 30;36(2):225-241. doi: 10.1002/sim.6912. Epub 2016 Feb 19.

Reference Type BACKGROUND
PMID: 26891942 (View on PubMed)

Cheung YK, Chakraborty B, Davidson KW. Sequential multiple assignment randomized trial (SMART) with adaptive randomization for quality improvement in depression treatment program. Biometrics. 2015 Jun;71(2):450-9. doi: 10.1111/biom.12258. Epub 2014 Oct 29.

Reference Type BACKGROUND
PMID: 25354029 (View on PubMed)

Li Y, Wang M, Cheung YK. Treatment and dose prioritization in early phase platform trials of targeted cancer therapies. Journal of the Royal Statistical Society: Series C (Applied Statistics). 2019;68:475-491.

Reference Type BACKGROUND

Berry DA, Eick SG. Adaptive assignment versus balanced randomization in clinical trials: a decision analysis. Stat Med. 1995 Feb 15;14(3):231-46. doi: 10.1002/sim.4780140302.

Reference Type BACKGROUND
PMID: 7724909 (View on PubMed)

Cheung YK, Inoue LY, Wathen JK, Thall PF. Continuous Bayesian adaptive randomization based on event times with covariates. Stat Med. 2006 Jan 15;25(1):55-70. doi: 10.1002/sim.2247.

Reference Type BACKGROUND
PMID: 16025549 (View on PubMed)

Wei L, Durham S. The randomized play-the-winner rule in medical trials. Journal of the American Statistical Association. 1978;73:840-843.

Reference Type BACKGROUND

Kadane JB. Bayesian methods and ethics in a clinical trial design. John Wiley & Sons; 2011.

Reference Type BACKGROUND

Abel MG, Hannon JC, Sell K, Lillie T, Conlin G, Anderson D. Validation of the Kenz Lifecorder EX and ActiGraph GT1M accelerometers for walking and running in adults. Appl Physiol Nutr Metab. 2008 Dec;33(6):1155-64. doi: 10.1139/h08-103.

Reference Type BACKGROUND
PMID: 19088773 (View on PubMed)

Aguilar-Farias N, Brown WJ, Peeters GM. ActiGraph GT3X+ cut-points for identifying sedentary behaviour in older adults in free-living environments. J Sci Med Sport. 2014 May;17(3):293-9. doi: 10.1016/j.jsams.2013.07.002. Epub 2013 Aug 8.

Reference Type BACKGROUND
PMID: 23932934 (View on PubMed)

Freedson PS, Melanson E, Sirard J. Calibration of the Computer Science and Applications, Inc. accelerometer. Med Sci Sports Exerc. 1998 May;30(5):777-81. doi: 10.1097/00005768-199805000-00021.

Reference Type BACKGROUND
PMID: 9588623 (View on PubMed)

Hendelman D, Miller K, Baggett C, Debold E, Freedson P. Validity of accelerometry for the assessment of moderate intensity physical activity in the field. Med Sci Sports Exerc. 2000 Sep;32(9 Suppl):S442-9. doi: 10.1097/00005768-200009001-00002.

Reference Type BACKGROUND
PMID: 10993413 (View on PubMed)

Koster A, Shiroma EJ, Caserotti P, Matthews CE, Chen KY, Glynn NW, Harris TB. Comparison of Sedentary Estimates between activPAL and Hip- and Wrist-Worn ActiGraph. Med Sci Sports Exerc. 2016 Aug;48(8):1514-1522. doi: 10.1249/MSS.0000000000000924.

Reference Type BACKGROUND
PMID: 27031744 (View on PubMed)

Plasqui G, Westerterp KR. Physical activity assessment with accelerometers: an evaluation against doubly labeled water. Obesity (Silver Spring). 2007 Oct;15(10):2371-9. doi: 10.1038/oby.2007.281.

Reference Type BACKGROUND
PMID: 17925461 (View on PubMed)

Rowlands AV, Thomas PW, Eston RG, Topping R. Validation of the RT3 triaxial accelerometer for the assessment of physical activity. Med Sci Sports Exerc. 2004 Mar;36(3):518-24. doi: 10.1249/01.mss.0000117158.14542.e7.

Reference Type BACKGROUND
PMID: 15076796 (View on PubMed)

Van Domelen DR. Accelerometry: Functions for Processing Accelerometer Data. 2018. R package version. 2018 Aug 23;3(2).

Reference Type BACKGROUND

Schofield WN. Predicting basal metabolic rate, new standards and review of previous work. Hum Nutr Clin Nutr. 1985;39 Suppl 1:5-41.

Reference Type BACKGROUND
PMID: 4044297 (View on PubMed)

Dempsey PC, Larsen RN, Sethi P, Sacre JW, Straznicky NE, Cohen ND, Cerin E, Lambert GW, Owen N, Kingwell BA, Dunstan DW. Benefits for Type 2 Diabetes of Interrupting Prolonged Sitting With Brief Bouts of Light Walking or Simple Resistance Activities. Diabetes Care. 2016 Jun;39(6):964-72. doi: 10.2337/dc15-2336. Epub 2016 Apr 13.

Reference Type BACKGROUND
PMID: 27208318 (View on PubMed)

Dempsey PC, Sacre JW, Larsen RN, Straznicky NE, Sethi P, Cohen ND, Cerin E, Lambert GW, Owen N, Kingwell BA, Dunstan DW. Interrupting prolonged sitting with brief bouts of light walking or simple resistance activities reduces resting blood pressure and plasma noradrenaline in type 2 diabetes. J Hypertens. 2016 Dec;34(12):2376-2382. doi: 10.1097/HJH.0000000000001101.

Reference Type BACKGROUND
PMID: 27512975 (View on PubMed)

Lee IM, Buchner DM. The importance of walking to public health. Med Sci Sports Exerc. 2008 Jul;40(7 Suppl):S512-8. doi: 10.1249/MSS.0b013e31817c65d0.

Reference Type BACKGROUND
PMID: 18562968 (View on PubMed)

Morris JN, Hardman AE. Walking to health. Sports Med. 1997 May;23(5):306-32. doi: 10.2165/00007256-199723050-00004.

Reference Type BACKGROUND
PMID: 9181668 (View on PubMed)

Mikines KJ, Sonne B, Farrell PA, Tronier B, Galbo H. Effect of physical exercise on sensitivity and responsiveness to insulin in humans. Am J Physiol. 1988 Mar;254(3 Pt 1):E248-59. doi: 10.1152/ajpendo.1988.254.3.E248.

Reference Type BACKGROUND
PMID: 3126668 (View on PubMed)

Hamer M. The anti-hypertensive effects of exercise: integrating acute and chronic mechanisms. Sports Med. 2006;36(2):109-16. doi: 10.2165/00007256-200636020-00002.

Reference Type BACKGROUND
PMID: 16464120 (View on PubMed)

Carter S, Hartman Y, Holder S, Thijssen DH, Hopkins ND. Sedentary Behavior and Cardiovascular Disease Risk: Mediating Mechanisms. Exerc Sport Sci Rev. 2017 Apr;45(2):80-86. doi: 10.1249/JES.0000000000000106.

Reference Type BACKGROUND
PMID: 28118158 (View on PubMed)

Dempsey PC, Larsen RN, Dunstan DW, Owen N, Kingwell BA. Sitting Less and Moving More: Implications for Hypertension. Hypertension. 2018 Nov;72(5):1037-1046. doi: 10.1161/HYPERTENSIONAHA.118.11190. No abstract available.

Reference Type BACKGROUND
PMID: 30354827 (View on PubMed)

Peddie MC, Rehrer NJ, Perry TL. Physical activity and postprandial lipidemia: are energy expenditure and lipoprotein lipase activity the real modulators of the positive effect? Prog Lipid Res. 2012 Jan;51(1):11-22. doi: 10.1016/j.plipres.2011.11.002. Epub 2011 Nov 19.

Reference Type BACKGROUND
PMID: 22123195 (View on PubMed)

Shvartz E, Gaume JG, White RT, Reibold RC. Hemodynamic responses during prolonged sitting. J Appl Physiol Respir Environ Exerc Physiol. 1983 Jun;54(6):1673-80. doi: 10.1152/jappl.1983.54.6.1673.

Reference Type BACKGROUND
PMID: 6874492 (View on PubMed)

Padilla J, Sheldon RD, Sitar DM, Newcomer SC. Impact of acute exposure to increased hydrostatic pressure and reduced shear rate on conduit artery endothelial function: a limb-specific response. Am J Physiol Heart Circ Physiol. 2009 Sep;297(3):H1103-8. doi: 10.1152/ajpheart.00167.2009. Epub 2009 Jul 24.

Reference Type BACKGROUND
PMID: 19633210 (View on PubMed)

Padilla J, Fadel PJ. Prolonged sitting leg vasculopathy: contributing factors and clinical implications. Am J Physiol Heart Circ Physiol. 2017 Oct 1;313(4):H722-H728. doi: 10.1152/ajpheart.00326.2017. Epub 2017 Jul 21.

Reference Type BACKGROUND
PMID: 28733451 (View on PubMed)

Winkel J, Jorgensen K. Evaluation of foot swelling and lower-limb temperatures in relation to leg activity during long-term seated office work. Ergonomics. 1986 Feb;29(2):313-28. doi: 10.1080/00140138608968267. No abstract available.

Reference Type BACKGROUND
PMID: 3514205 (View on PubMed)

Pottier M, Dubreuil A, Monod H. The effects of sitting posture on the volume of the foot. Ergonomics. 1969 Sep;12(5):753-8. doi: 10.1080/00140136908931092. No abstract available.

Reference Type BACKGROUND
PMID: 5361453 (View on PubMed)

Mittermayr M, Fries D, Gruber H, Peer S, Klingler A, Fischbach U, Gunga HC, Koralewski E, Faulhaber M, Simmer M, Schobersberger W. Leg edema formation and venous blood flow velocity during a simulated long-haul flight. Thromb Res. 2007;120(4):497-504. doi: 10.1016/j.thromres.2006.12.012. Epub 2007 Jan 23.

Reference Type BACKGROUND
PMID: 17250877 (View on PubMed)

Thosar SS, Johnson BD, Johnston JD, Wallace JP. Sitting and endothelial dysfunction: the role of shear stress. Med Sci Monit. 2012 Dec;18(12):RA173-80. doi: 10.12659/msm.883589.

Reference Type BACKGROUND
PMID: 23197245 (View on PubMed)

Guo C, Zhou Q, Zhang D, Qin P, Li Q, Tian G, Liu D, Chen X, Liu L, Liu F, Cheng C, Qie R, Han M, Huang S, Wu X, Zhao Y, Ren Y, Zhang M, Liu Y, Hu D. Association of total sedentary behaviour and television viewing with risk of overweight/obesity, type 2 diabetes and hypertension: A dose-response meta-analysis. Diabetes Obes Metab. 2020 Jan;22(1):79-90. doi: 10.1111/dom.13867. Epub 2019 Oct 1.

Reference Type BACKGROUND
PMID: 31468597 (View on PubMed)

O'Brien E, Mee F, Atkins N, O'Malley K. Accuracy of the SpaceLabs 90207 determined by the British Hypertension Society protocol. J Hypertens. 1991 Jun;9(6):573-4. doi: 10.1097/00004872-199106000-00016. No abstract available.

Reference Type BACKGROUND
PMID: 1653299 (View on PubMed)

Baumgart P, Kamp J. Accuracy of the SpaceLabs Medical 90217 ambulatory blood pressure monitor. Blood Press Monit. 1998 Oct;3(5):303-307.

Reference Type BACKGROUND
PMID: 10212370 (View on PubMed)

Groppelli A, Omboni S, Ravogli A, Villani A, Parati G, Mancia G. Validation of the SpaceLabs 90202 and 90207 devices for ambulatory blood pressure monitoring by comparison with intra-arterial resting and ambulatory measurements. J Hypertens Suppl. 1991 Dec;9(6):S334-5. No abstract available.

Reference Type BACKGROUND
PMID: 1818988 (View on PubMed)

Diaz KM, Veerabhadrappa P, Kashem MA, Feairheller DL, Sturgeon KM, Williamson ST, Crabbe DL, Brown MD. Relationship of visit-to-visit and ambulatory blood pressure variability to vascular function in African Americans. Hypertens Res. 2012 Jan;35(1):55-61. doi: 10.1038/hr.2011.135. Epub 2011 Aug 4.

Reference Type BACKGROUND
PMID: 21814215 (View on PubMed)

Dabl Educational Trust. Sphygmomanometers for ambulatory blood pressure measurement. 2014; http://www.dableducational.org/sphygmomanometers/devices_3_abpm.html Accessed October 1, 2019.

Reference Type BACKGROUND

Krause T, Lovibond K, Caulfield M, McCormack T, Williams B; Guideline Development Group. Management of hypertension: summary of NICE guidance. BMJ. 2011 Aug 25;343:d4891. doi: 10.1136/bmj.d4891. No abstract available.

Reference Type BACKGROUND
PMID: 21868454 (View on PubMed)

Richter EA, Hargreaves M. Exercise, GLUT4, and skeletal muscle glucose uptake. Physiol Rev. 2013 Jul;93(3):993-1017. doi: 10.1152/physrev.00038.2012.

Reference Type BACKGROUND
PMID: 23899560 (View on PubMed)

Hamilton MT, Hamilton DG, Zderic TW. Role of low energy expenditure and sitting in obesity, metabolic syndrome, type 2 diabetes, and cardiovascular disease. Diabetes. 2007 Nov;56(11):2655-67. doi: 10.2337/db07-0882. Epub 2007 Sep 7.

Reference Type BACKGROUND
PMID: 17827399 (View on PubMed)

Hamilton MT, Hamilton DG, Zderic TW. The Necessity of Active Muscle Metabolism for Healthy Aging: Muscular Activity Throughout the Entire Day. Prog Mol Biol Transl Sci. 2018;155:53-68. doi: 10.1016/bs.pmbts.2017.12.014. Epub 2018 Feb 24.

Reference Type BACKGROUND
PMID: 29653682 (View on PubMed)

Dempsey PC, Owen N, Yates TE, Kingwell BA, Dunstan DW. Sitting Less and Moving More: Improved Glycaemic Control for Type 2 Diabetes Prevention and Management. Curr Diab Rep. 2016 Nov;16(11):114. doi: 10.1007/s11892-016-0797-4.

Reference Type BACKGROUND
PMID: 27699700 (View on PubMed)

Loh R, Stamatakis E, Folkerts D, Allgrove JE, Moir HJ. Effects of Interrupting Prolonged Sitting with Physical Activity Breaks on Blood Glucose, Insulin and Triacylglycerol Measures: A Systematic Review and Meta-analysis. Sports Med. 2020 Feb;50(2):295-330. doi: 10.1007/s40279-019-01183-w.

Reference Type BACKGROUND
PMID: 31552570 (View on PubMed)

Powell C, Herring MP, Dowd KP, Donnelly AE, Carson BP. The cross-sectional associations between objectively measured sedentary time and cardiometabolic health markers in adults - a systematic review with meta-analysis component. Obes Rev. 2018 Mar;19(3):381-395. doi: 10.1111/obr.12642. Epub 2017 Nov 27.

Reference Type BACKGROUND
PMID: 29178252 (View on PubMed)

Wu AHB. Tietz clinical guide to laboratory tests. St. Louis, Mo.: Saunders/Elsevier; 2006.

Reference Type BACKGROUND

Allison DB, Paultre F, Maggio C, Mezzitis N, Pi-Sunyer FX. The use of areas under curves in diabetes research. Diabetes Care. 1995 Feb;18(2):245-50. doi: 10.2337/diacare.18.2.245.

Reference Type BACKGROUND
PMID: 7729306 (View on PubMed)

Voils CI, King HA, Maciejewski ML, Allen KD, Yancy WS Jr, Shaffer JA. Approaches for informing optimal dose of behavioral interventions. Ann Behav Med. 2014 Dec;48(3):392-401. doi: 10.1007/s12160-014-9618-7.

Reference Type BACKGROUND
PMID: 24722964 (View on PubMed)

Fletcher GF, Ades PA, Kligfield P, Arena R, Balady GJ, Bittner VA, Coke LA, Fleg JL, Forman DE, Gerber TC, Gulati M, Madan K, Rhodes J, Thompson PD, Williams MA; American Heart Association Exercise, Cardiac Rehabilitation, and Prevention Committee of the Council on Clinical Cardiology, Council on Nutrition, Physical Activity and Metabolism, Council on Cardiovascular and Stroke Nursing, and Council on Epidemiology and Prevention. Exercise standards for testing and training: a scientific statement from the American Heart Association. Circulation. 2013 Aug 20;128(8):873-934. doi: 10.1161/CIR.0b013e31829b5b44. Epub 2013 Jul 22. No abstract available.

Reference Type BACKGROUND
PMID: 23877260 (View on PubMed)

Gauvin L, Rejeski WJ. The exercise-induced feeling inventory: Development and initial validation. Journal of Sport and Exercise Psychology. 1993;15:403-423.

Reference Type BACKGROUND

Focht BC, Knapp DJ, Gavin TP, Raedeke TD, Hickner RC. Affective and self-efficacy responses to acute aerobic exercise in sedentary older and younger adults. J Aging Phys Act. 2007 Apr;15(2):123-38. doi: 10.1123/japa.15.2.123.

Reference Type BACKGROUND
PMID: 17556780 (View on PubMed)

Focht BC. Brief walks in outdoor and laboratory environments: effects on affective responses, enjoyment, and intentions to walk for exercise. Res Q Exerc Sport. 2009 Sep;80(3):611-20. doi: 10.1080/02701367.2009.10599600.

Reference Type BACKGROUND
PMID: 19791648 (View on PubMed)

Annesi JJ. Relationship between before-to-after-exercise feeling state changes and exercise session attendance over 14 weeks: Testing principles of operant conditioning. European Journal of Sport Science. 2005;5:159-163.

Reference Type BACKGROUND

Williams DM. Psychological hedonism, hedonic motivation, and health behavior. Affective determinants of health behavior. 2018:204.

Reference Type BACKGROUND

Williams DM, Dunsiger S, Ciccolo JT, Lewis BA, Albrecht AE, Marcus BH. Acute Affective Response to a Moderate-intensity Exercise Stimulus Predicts Physical Activity Participation 6 and 12 Months Later. Psychol Sport Exerc. 2008 May;9(3):231-245. doi: 10.1016/j.psychsport.2007.04.002. No abstract available.

Reference Type BACKGROUND
PMID: 18496608 (View on PubMed)

Bryan A, Hutchison KE, Seals DR, Allen DL. A transdisciplinary model integrating genetic, physiological, and psychological correlates of voluntary exercise. Health Psychol. 2007 Jan;26(1):30-9. doi: 10.1037/0278-6133.26.1.30.

Reference Type BACKGROUND
PMID: 17209695 (View on PubMed)

Williams DM. Exercise, affect, and adherence: an integrated model and a case for self-paced exercise. J Sport Exerc Psychol. 2008 Oct;30(5):471-96. doi: 10.1123/jsep.30.5.471.

Reference Type BACKGROUND
PMID: 18971508 (View on PubMed)

Ekkekakis P. Pleasure and displeasure from the body: Perspectives from exercise. Cogn Emot. 2003 Mar;17(2):213-239. doi: 10.1080/02699930302292.

Reference Type BACKGROUND
PMID: 29715726 (View on PubMed)

Ekkekakis P, Petruzzello SJ. Analysis of the affect measurement conundrum in exercise psychology: IV. A conceptual case for the affect circumplex. Psychology of Sport and Exercise. 2002;3:35-63.

Reference Type BACKGROUND

Hardy CJ, Rejeski WJ. Not what, but how one feels: The measurement of affect during exercise. Journal of sport and exercise psychology. 1989;11:304-317.

Reference Type BACKGROUND

Williams DM, Dunsiger S, Jennings EG, Marcus BH. Does affective valence during and immediately following a 10-min walk predict concurrent and future physical activity? Ann Behav Med. 2012 Aug;44(1):43-51. doi: 10.1007/s12160-012-9362-9.

Reference Type BACKGROUND
PMID: 22532005 (View on PubMed)

Rhodes RE, Kates A. Can the Affective Response to Exercise Predict Future Motives and Physical Activity Behavior? A Systematic Review of Published Evidence. Ann Behav Med. 2015 Oct;49(5):715-31. doi: 10.1007/s12160-015-9704-5.

Reference Type BACKGROUND
PMID: 25921307 (View on PubMed)

Mongey S, Pilossoph L, Weinberg A. Which workers bear the burden of social distancing? J Econ Inequal. 2021;19(3):509-526. doi: 10.1007/s10888-021-09487-6. Epub 2021 Aug 2.

Reference Type BACKGROUND
PMID: 34366750 (View on PubMed)

Schaufeli WB, Bakker AB, Salanova M. The measurement of work engagement with a short questionnaire - A cross-national study. Educ Psychol Meas. 2006;66:701-716.

Reference Type BACKGROUND

Bryan J, Tuckey M, Einother SJ, Garczarek U, Garrick A, De Bruin EA. Relationships between tea and other beverage consumption to work performance and mood. Appetite. 2012 Feb;58(1):339-46. doi: 10.1016/j.appet.2011.11.009. Epub 2011 Nov 12.

Reference Type BACKGROUND
PMID: 22100487 (View on PubMed)

Lanaj K, Johnson RE, Barnes CM. Beginning the workday yet already depleted? Consequences of late-night smartphone use and sleep. Organ Behav Hum Dec. 2014;124:11-23.

Reference Type BACKGROUND

Seppala P, Mauno S, Feldt T, Hakanen J, Kinnunen U, Tolvanen A, Schaufeli W. The Construct Validity of the Utrecht Work Engagement Scale: Multisample and Longitudinal Evidence. J Happiness Stud. 2009;10:459-481.

Reference Type BACKGROUND

Kessler RC, Barber C, Beck A, Berglund P, Cleary PD, McKenas D, Pronk N, Simon G, Stang P, Ustun TB, Wang P. The World Health Organization Health and Work Performance Questionnaire (HPQ). J Occup Environ Med. 2003 Feb;45(2):156-74. doi: 10.1097/01.jom.0000052967.43131.51.

Reference Type BACKGROUND
PMID: 12625231 (View on PubMed)

World Health Organization. Waist circumference and waist-hip ratio: Report of a WHO expert consultation. Geneva, Switzerland: World Health Organization; 2008.

Reference Type BACKGROUND

Cornelissen VA, Smart NA. Exercise training for blood pressure: a systematic review and meta-analysis. J Am Heart Assoc. 2013 Feb 1;2(1):e004473. doi: 10.1161/JAHA.112.004473.

Reference Type BACKGROUND
PMID: 23525435 (View on PubMed)

Cornelissen VA, Buys R, Smart NA. Endurance exercise beneficially affects ambulatory blood pressure: a systematic review and meta-analysis. J Hypertens. 2013 Apr;31(4):639-48. doi: 10.1097/HJH.0b013e32835ca964.

Reference Type BACKGROUND
PMID: 23325392 (View on PubMed)

Pescatello LS, Kulikowich JM. The aftereffects of dynamic exercise on ambulatory blood pressure. Med Sci Sports Exerc. 2001 Nov;33(11):1855-61. doi: 10.1097/00005768-200111000-00009.

Reference Type BACKGROUND
PMID: 11689735 (View on PubMed)

Cardoso CG Jr, Gomides RS, Queiroz AC, Pinto LG, da Silveira Lobo F, Tinucci T, Mion D Jr, de Moraes Forjaz CL. Acute and chronic effects of aerobic and resistance exercise on ambulatory blood pressure. Clinics (Sao Paulo). 2010 Mar;65(3):317-25. doi: 10.1590/S1807-59322010000300013.

Reference Type BACKGROUND
PMID: 20360924 (View on PubMed)

James PA, Oparil S, Carter BL, Cushman WC, Dennison-Himmelfarb C, Handler J, Lackland DT, LeFevre ML, MacKenzie TD, Ogedegbe O, Smith SC Jr, Svetkey LP, Taler SJ, Townsend RR, Wright JT Jr, Narva AS, Ortiz E. 2014 evidence-based guideline for the management of high blood pressure in adults: report from the panel members appointed to the Eighth Joint National Committee (JNC 8). JAMA. 2014 Feb 5;311(5):507-20. doi: 10.1001/jama.2013.284427.

Reference Type BACKGROUND
PMID: 24352797 (View on PubMed)

Eckel RH, Jakicic JM, Ard JD, de Jesus JM, Houston Miller N, Hubbard VS, Lee IM, Lichtenstein AH, Loria CM, Millen BE, Nonas CA, Sacks FM, Smith SC Jr, Svetkey LP, Wadden TA, Yanovski SZ; American College of Cardiology/American Heart Association Task Force on Practice Guidelines. 2013 AHA/ACC guideline on lifestyle management to reduce cardiovascular risk: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. J Am Coll Cardiol. 2014 Jul 1;63(25 Pt B):2960-84. doi: 10.1016/j.jacc.2013.11.003. Epub 2013 Nov 12. No abstract available.

Reference Type BACKGROUND
PMID: 24239922 (View on PubMed)

Pescatello LS, Franklin BA, Fagard R, Farquhar WB, Kelley GA, Ray CA; American College of Sports Medicine. American College of Sports Medicine position stand. Exercise and hypertension. Med Sci Sports Exerc. 2004 Mar;36(3):533-53. doi: 10.1249/01.mss.0000115224.88514.3a.

Reference Type BACKGROUND
PMID: 15076798 (View on PubMed)

Law MR, Morris JK, Wald NJ. Use of blood pressure lowering drugs in the prevention of cardiovascular disease: meta-analysis of 147 randomised trials in the context of expectations from prospective epidemiological studies. BMJ. 2009 May 19;338:b1665. doi: 10.1136/bmj.b1665.

Reference Type BACKGROUND
PMID: 19454737 (View on PubMed)

Oberlin DJ, Mikus CR, Kearney ML, Hinton PS, Manrique C, Leidy HJ, Kanaley JA, Rector RS, Thyfault JP. One bout of exercise alters free-living postprandial glycemia in type 2 diabetes. Med Sci Sports Exerc. 2014 Feb;46(2):232-8. doi: 10.1249/MSS.0b013e3182a54d85.

Reference Type BACKGROUND
PMID: 23872939 (View on PubMed)

Rynders CA, Weltman JY, Jiang B, Breton M, Patrie J, Barrett EJ, Weltman A. Effects of exercise intensity on postprandial improvement in glucose disposal and insulin sensitivity in prediabetic adults. J Clin Endocrinol Metab. 2014 Jan;99(1):220-8. doi: 10.1210/jc.2013-2687. Epub 2013 Dec 20.

Reference Type BACKGROUND
PMID: 24243632 (View on PubMed)

Ross R, Dagnone D, Jones PJ, Smith H, Paddags A, Hudson R, Janssen I. Reduction in obesity and related comorbid conditions after diet-induced weight loss or exercise-induced weight loss in men. A randomized, controlled trial. Ann Intern Med. 2000 Jul 18;133(2):92-103. doi: 10.7326/0003-4819-133-2-200007180-00008.

Reference Type BACKGROUND
PMID: 10896648 (View on PubMed)

Weiss EP, Racette SB, Villareal DT, Fontana L, Steger-May K, Schechtman KB, Klein S, Holloszy JO; Washington University School of Medicine CALERIE Group. Improvements in glucose tolerance and insulin action induced by increasing energy expenditure or decreasing energy intake: a randomized controlled trial. Am J Clin Nutr. 2006 Nov;84(5):1033-42. doi: 10.1093/ajcn/84.5.1033.

Reference Type BACKGROUND
PMID: 17093155 (View on PubMed)

Bouchonville M, Armamento-Villareal R, Shah K, Napoli N, Sinacore DR, Qualls C, Villareal DT. Weight loss, exercise or both and cardiometabolic risk factors in obese older adults: results of a randomized controlled trial. Int J Obes (Lond). 2014 Mar;38(3):423-31. doi: 10.1038/ijo.2013.122. Epub 2013 Jul 4.

Reference Type BACKGROUND
PMID: 23823329 (View on PubMed)

Alyass A, Almgren P, Akerlund M, Dushoff J, Isomaa B, Nilsson P, Tuomi T, Lyssenko V, Groop L, Meyre D. Modelling of OGTT curve identifies 1 h plasma glucose level as a strong predictor of incident type 2 diabetes: results from two prospective cohorts. Diabetologia. 2015 Jan;58(1):87-97. doi: 10.1007/s00125-014-3390-x. Epub 2014 Oct 8.

Reference Type BACKGROUND
PMID: 25292440 (View on PubMed)

Feizi A, Meamar R, Eslamian M, Amini M, Nasri M, Iraj B. Area under the curve during OGTT in first-degree relatives of diabetic patients as an efficient indicator of future risk of type 2 diabetes and prediabetes. Clin Endocrinol (Oxf). 2017 Dec;87(6):696-705. doi: 10.1111/cen.13443. Epub 2017 Sep 20.

Reference Type BACKGROUND
PMID: 28793372 (View on PubMed)

Cheung YK, Chappell R. Sequential designs for phase I clinical trials with late-onset toxicities. Biometrics. 2000 Dec;56(4):1177-82. doi: 10.1111/j.0006-341x.2000.01177.x.

Reference Type BACKGROUND
PMID: 11129476 (View on PubMed)

Cheung YK, Thall PF. Monitoring the rates of composite events with censored data in phase II clinical trials. Biometrics. 2002 Mar;58(1):89-97. doi: 10.1111/j.0006-341x.2002.00089.x.

Reference Type BACKGROUND
PMID: 11890331 (View on PubMed)

Chastin SFM, De Craemer M, De Cocker K, Powell L, Van Cauwenberg J, Dall P, Hamer M, Stamatakis E. How does light-intensity physical activity associate with adult cardiometabolic health and mortality? Systematic review with meta-analysis of experimental and observational studies. Br J Sports Med. 2019 Mar;53(6):370-376. doi: 10.1136/bjsports-2017-097563. Epub 2018 Apr 25.

Reference Type BACKGROUND
PMID: 29695511 (View on PubMed)

Henriksen EJ. Invited review: Effects of acute exercise and exercise training on insulin resistance. J Appl Physiol (1985). 2002 Aug;93(2):788-96. doi: 10.1152/japplphysiol.01219.2001.

Reference Type BACKGROUND
PMID: 12133893 (View on PubMed)

Casonatto J, Goessler KF, Cornelissen VA, Cardoso JR, Polito MD. The blood pressure-lowering effect of a single bout of resistance exercise: A systematic review and meta-analysis of randomised controlled trials. Eur J Prev Cardiol. 2016 Nov;23(16):1700-1714. doi: 10.1177/2047487316664147. Epub 2016 Aug 10.

Reference Type BACKGROUND
PMID: 27512052 (View on PubMed)

Wong GW, Boyda HN, Wright JM. Blood pressure lowering efficacy of beta-1 selective beta blockers for primary hypertension. Cochrane Database Syst Rev. 2016 Mar 10;3(3):CD007451. doi: 10.1002/14651858.CD007451.pub2.

Reference Type BACKGROUND
PMID: 26961574 (View on PubMed)

Brook RD, Appel LJ, Rubenfire M, Ogedegbe G, Bisognano JD, Elliott WJ, Fuchs FD, Hughes JW, Lackland DT, Staffileno BA, Townsend RR, Rajagopalan S; American Heart Association Professional Education Committee of the Council for High Blood Pressure Research, Council on Cardiovascular and Stroke Nursing, Council on Epidemiology and Prevention, and Council on Nutrition, Physical Activity. Beyond medications and diet: alternative approaches to lowering blood pressure: a scientific statement from the american heart association. Hypertension. 2013 Jun;61(6):1360-83. doi: 10.1161/HYP.0b013e318293645f. Epub 2013 Apr 22.

Reference Type BACKGROUND
PMID: 23608661 (View on PubMed)

Chobanian AV, Bakris GL, Black HR, Cushman WC, Green LA, Izzo JL Jr, Jones DW, Materson BJ, Oparil S, Wright JT Jr, Roccella EJ; National Heart, Lung, and Blood Institute Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure; National High Blood Pressure Education Program Coordinating Committee. The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure: the JNC 7 report. JAMA. 2003 May 21;289(19):2560-72. doi: 10.1001/jama.289.19.2560. Epub 2003 May 14.

Reference Type BACKGROUND
PMID: 12748199 (View on PubMed)

Mancia G, Fagard R, Narkiewicz K, Redon J, Zanchetti A, Bohm M, Christiaens T, Cifkova R, De Backer G, Dominiczak A, Galderisi M, Grobbee DE, Jaarsma T, Kirchhof P, Kjeldsen SE, Laurent S, Manolis AJ, Nilsson PM, Ruilope LM, Schmieder RE, Sirnes PA, Sleight P, Viigimaa M, Waeber B, Zannad F; Task Force for the Management of Arterial Hypertension of the European Society of Hypertension and the European Society of Cardiology. 2013 ESH/ESC Practice Guidelines for the Management of Arterial Hypertension. Blood Press. 2014 Feb;23(1):3-16. doi: 10.3109/08037051.2014.868629. Epub 2013 Dec 20. No abstract available.

Reference Type BACKGROUND
PMID: 24359485 (View on PubMed)

Dasgupta K, Quinn RR, Zarnke KB, Rabi DM, Ravani P, Daskalopoulou SS, Rabkin SW, Trudeau L, Feldman RD, Cloutier L, Prebtani A, Herman RJ, Bacon SL, Gilbert RE, Ruzicka M, McKay DW, Campbell TS, Grover S, Honos G, Schiffrin EL, Bolli P, Wilson TW, Lindsay P, Hill MD, Coutts SB, Gubitz G, Gelfer M, Vallee M, Prasad GV, Lebel M, McLean D, Arnold JM, Moe GW, Howlett JG, Boulanger JM, Larochelle P, Leiter LA, Jones C, Ogilvie RI, Woo V, Kaczorowski J, Burns KD, Petrella RJ, Hiremath S, Milot A, Stone JA, Drouin D, Lavoie KL, Lamarre-Cliche M, Tremblay G, Hamet P, Fodor G, Carruthers SG, Pylypchuk GB, Burgess E, Lewanczuk R, Dresser GK, Penner SB, Hegele RA, McFarlane PA, Khara M, Pipe A, Oh P, Selby P, Sharma M, Reid DJ, Tobe SW, Padwal RS, Poirier L. 2014 canadian hypertension education program recommendations for blood pressure measurement, diagnosis, assessment of risk, prevention, and treatment of hypertension. Can J Cardiol. 2014;30:485-501.

Reference Type BACKGROUND

Pescatello LS, MacDonald HV, Ash GI, Lamberti LM, Farquhar WB, Arena R, Johnson BT. Assessing the Existing Professional Exercise Recommendations for Hypertension: A Review and Recommendations for Future Research Priorities. Mayo Clin Proc. 2015 Jun;90(6):801-12. doi: 10.1016/j.mayocp.2015.04.008.

Reference Type BACKGROUND
PMID: 26046413 (View on PubMed)

Jelleyman C, Yates T, O'Donovan G, Gray LJ, King JA, Khunti K, Davies MJ. The effects of high-intensity interval training on glucose regulation and insulin resistance: a meta-analysis. Obes Rev. 2015 Nov;16(11):942-61. doi: 10.1111/obr.12317.

Reference Type BACKGROUND
PMID: 26481101 (View on PubMed)

Tonoli C, Heyman E, Roelands B, Buyse L, Cheung SS, Berthoin S, Meeusen R. Effects of different types of acute and chronic (training) exercise on glycaemic control in type 1 diabetes mellitus: a meta-analysis. Sports Med. 2012 Dec 1;42(12):1059-80. doi: 10.1007/BF03262312.

Reference Type BACKGROUND
PMID: 23134339 (View on PubMed)

Liu S, Goodman J, Nolan R, Lacombe S, Thomas SG. Blood pressure responses to acute and chronic exercise are related in prehypertension. Med Sci Sports Exerc. 2012 Sep;44(9):1644-52. doi: 10.1249/MSS.0b013e31825408fb.

Reference Type BACKGROUND
PMID: 22899388 (View on PubMed)

Hecksteden A, Grutters T, Meyer T. Associations between acute and chronic effects of exercise on indicators of metabolic health: a pilot training trial. PLoS One. 2013 Nov 21;8(11):e81181. doi: 10.1371/journal.pone.0081181. eCollection 2013.

Reference Type BACKGROUND
PMID: 24278393 (View on PubMed)

Haskell WL. J.B. Wolffe Memorial Lecture. Health consequences of physical activity: understanding and challenges regarding dose-response. Med Sci Sports Exerc. 1994 Jun;26(6):649-60. doi: 10.1249/00005768-199406000-00001.

Reference Type BACKGROUND
PMID: 8052103 (View on PubMed)

Pescatello LS, MacDonald HV, Lamberti L, Johnson BT. Exercise for Hypertension: A Prescription Update Integrating Existing Recommendations with Emerging Research. Curr Hypertens Rep. 2015 Nov;17(11):87. doi: 10.1007/s11906-015-0600-y.

Reference Type BACKGROUND
PMID: 26423529 (View on PubMed)

NIH Human Research Protection Program. Policy and communications Bulletin - The Clinical Center/Medical Administrative Series: Guidelines for Limits of Blood Drawn for Research Purposes in the Clinical Center; 2009. Available at: https://irb.research.chop.edu/sites/default/files/documents/g_nih_blooddraws.pdf.

Reference Type BACKGROUND

Husain SA, Diaz K, Schwartz JE, Parsons FE, Burg MM, Davidson KW, Kronish IM. Behavioral economics implementation: Regret lottery improves mHealth patient study adherence. Contemp Clin Trials Commun. 2019 May 31;15:100387. doi: 10.1016/j.conctc.2019.100387. eCollection 2019 Sep.

Reference Type BACKGROUND
PMID: 31198881 (View on PubMed)

Cheung YK, Hsueh PS, Ensari I, Willey JZ, Diaz KM. Quantile Coarsening Analysis of High-Volume Wearable Activity Data in a Longitudinal Observational Study. Sensors (Basel). 2018 Sep 12;18(9):3056. doi: 10.3390/s18093056.

Reference Type BACKGROUND
PMID: 30213093 (View on PubMed)

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

AAAU8061

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.

Move Often eVery Day 2.0
NCT06372327 ENROLLING_BY_INVITATION NA
Remote Exercise Program for Rural Men
NCT07224217 RECRUITING NA