Literature DB >> 29126915

Steps, moderate-to-vigorous physical activity, and cardiometabolic profiles.

Samantha Hajna1, Nancy A Ross2, Kaberi Dasgupta3.   

Abstract

The relative benefits of meeting the current moderate-to-vigorous intensity physical activity (MVPA) and active step count recommendations are unknown. Using robust linear regressions, we compared cardiometabolic marker differences (blood pressure, lipid levels, Homeostatic Model Assessment of Insulin Resistance (HOMA-IR), hemoglobin A1C, C-reactive protein (CRP), and body mass index (BMI)) across MVPA (150min/week) and step (10,000 steps/day) thresholds and between step categories (low active: 5000 to 7499, somewhat active: 7500 to 9999, and active: ≥10,000 steps/day vs. inactive: <5000 steps/day) in approximately 6000 Canadian adults (41.5years, SD 14.9). Differences across MVPA and step thresholds were similar but additional benefits were observed for BMI and A1C for the MVPA target (i.e., above vs. below 150min/week MVPA: -1.02kg/m2 (95% Confidence Interval [CI] -1.25 to -0.80) and -0.04% (95% CI -0.06 to -0.02); above vs. below ≥10,000 steps/day: -0.40kg/m2 (95% CI -0.63 to -0.16) and 0.01% (95% CI -0.01 to 0.03)). In terms of steps categories, the greatest incremental improvement was achieved at the somewhat active threshold (e.g., somewhat active vs. inactive: -0.90kg/m2, 95% CI -1.28 to -0.53; low active vs. inactive: -0.36kg/m2, 95% CI -0.73 to 0.02). Additional benefits beyond the 10,000 step/day threshold were limited (e.g., -0.93kg/m2, 95% CI -1.30 to -0.57). Given that most benefits to markers of cardiometabolic health were at the ≥7500 step/day threshold and that there was some additional benefit across the 150min/week MVPA threshold compared to a 10,000 steps/day threshold, we suggest aiming for ≥7500 steps/day and then advancing to a 150min/MVPA goal.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Accelerometer; BMI; Blood pressure; Epidemiology; Risk factors

Mesh:

Substances:

Year:  2017        PMID: 29126915      PMCID: PMC6625960          DOI: 10.1016/j.ypmed.2017.11.007

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.018


  28 in total

1.  Validity of the Actical accelerometer step-count function.

Authors:  Dale W Esliger; Adam Probert; Sarah Connor Gorber; Shirley Bryan; Manon Laviolette; Mark S Tremblay
Journal:  Med Sci Sports Exerc       Date:  2007-07       Impact factor: 5.411

2.  The UKPDS risk engine: a model for the risk of coronary heart disease in Type II diabetes (UKPDS 56).

Authors:  R J Stevens; V Kothari; A I Adler; I M Stratton
Journal:  Clin Sci (Lond)       Date:  2001-12       Impact factor: 6.124

3.  Comparison of C-reactive protein and low-density lipoprotein cholesterol levels in the prediction of first cardiovascular events.

Authors:  Paul M Ridker; Nader Rifai; Lynda Rose; Julie E Buring; Nancy R Cook
Journal:  N Engl J Med       Date:  2002-11-14       Impact factor: 91.245

4.  Prognostic value of the Framingham cardiovascular risk equation and the UKPDS risk engine for coronary heart disease in newly diagnosed Type 2 diabetes: results from a United Kingdom study.

Authors:  R N Guzder; W Gatling; M A Mullee; R L Mehta; C D Byrne
Journal:  Diabet Med       Date:  2005-05       Impact factor: 4.359

5.  Physical activity and public health: updated recommendation for adults from the American College of Sports Medicine and the American Heart Association.

Authors:  William L Haskell; I-Min Lee; Russell R Pate; Kenneth E Powell; Steven N Blair; Barry A Franklin; Caroline A Macera; Gregory W Heath; Paul D Thompson; Adrian Bauman
Journal:  Med Sci Sports Exerc       Date:  2007-08       Impact factor: 5.411

Review 6.  Using pedometers to increase physical activity and improve health: a systematic review.

Authors:  Dena M Bravata; Crystal Smith-Spangler; Vandana Sundaram; Allison L Gienger; Nancy Lin; Robyn Lewis; Christopher D Stave; Ingram Olkin; John R Sirard
Journal:  JAMA       Date:  2007-11-21       Impact factor: 56.272

7.  Lipids and risk of coronary heart disease. The Framingham Study.

Authors:  W P Castelli; K Anderson; P W Wilson; D Levy
Journal:  Ann Epidemiol       Date:  1992 Jan-Mar       Impact factor: 3.797

8.  HOMA-estimated insulin resistance is an independent predictor of cardiovascular disease in type 2 diabetic subjects: prospective data from the Verona Diabetes Complications Study.

Authors:  Enzo Bonora; Gianni Formentini; Francesco Calcaterra; Simonetta Lombardi; Franco Marini; Luciano Zenari; Francesca Saggiani; Maurizio Poli; Sandro Perbellini; Andrea Raffaelli; Vittorio Cacciatori; Lorenza Santi; Giovanni Targher; Riccardo Bonadonna; Michele Muggeo
Journal:  Diabetes Care       Date:  2002-07       Impact factor: 19.112

9.  Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control study.

Authors:  Salim Yusuf; Steven Hawken; Stephanie Ounpuu; Tony Dans; Alvaro Avezum; Fernando Lanas; Matthew McQueen; Andrzej Budaj; Prem Pais; John Varigos; Liu Lisheng
Journal:  Lancet       Date:  2004 Sep 11-17       Impact factor: 79.321

10.  A randomized trial comparing structured and lifestyle goals in an internet-mediated walking program for people with type 2 diabetes.

Authors:  Caroline R Richardson; Kathleen S Mehari; Laura G McIntyre; Adrienne W Janney; Laurie A Fortlage; Ananda Sen; Victor J Strecher; John D Piette
Journal:  Int J Behav Nutr Phys Act       Date:  2007-11-16       Impact factor: 6.457

View more
  13 in total

1.  The Relationship between Community Participation and Physical Activity among Individuals with Serious Mental Illnesses.

Authors:  Gretchen Snethen; Eugene Brusilovskiy; Bryan P McCormick; Shiv V Hiremath; Mark S Salzer
Journal:  Ment Health Phys Act       Date:  2021

2.  Clinical gait analysis and physical examination don't correlate with physical activity of children with cerebral palsy. Cross-sectional study.

Authors:  Anne-Laure Guinet; Khouri Néjib; Desailly Eric
Journal:  Int Biomech       Date:  2020-12

3.  Driving status, travel modes and accelerometer-assessed physical activity in younger, middle-aged and older adults: a prospective study of 90 810 UK Biobank participants.

Authors:  Samantha Hajna; Tom White; Jenna Panter; Søren Brage; Katrien Wijndaele; James Woodcock; David Ogilvie; Fumiaki Imamura; Simon J Griffin
Journal:  Int J Epidemiol       Date:  2019-08-01       Impact factor: 7.196

4.  Higher number of steps and breaks during sedentary behaviour are associated with better lipid profiles.

Authors:  Sonja Aho; Meri-Sisko Vuoristo; Jani Raitanen; Kirsi Mansikkamäki; Johanna Alanko; Henri Vähä-Ypyä; Riitta Luoto; Pirkko-Liisa Kellokumpu-Lehtinen; Tommi Vasankari
Journal:  BMC Public Health       Date:  2021-03-31       Impact factor: 3.295

5.  Association between physical activity and insulin resistance using the homeostatic model assessment for insulin resistance independent of waist circumference.

Authors:  Tae Kyung Yoo; Byeong Kil Oh; Mi Yeon Lee; Ki-Chul Sung
Journal:  Sci Rep       Date:  2022-04-09       Impact factor: 4.379

Review 6.  Ten things to know about ten cardiovascular disease risk factors ("ASPC Top Ten - 2020").

Authors:  Harold Edward Bays
Journal:  Am J Prev Cardiol       Date:  2020-05-01

Review 7.  Ten things to know about ten cardiovascular disease risk factors.

Authors:  Harold E Bays; Pam R Taub; Elizabeth Epstein; Erin D Michos; Richard A Ferraro; Alison L Bailey; Heval M Kelli; Keith C Ferdinand; Melvin R Echols; Howard Weintraub; John Bostrom; Heather M Johnson; Kara K Hoppe; Michael D Shapiro; Charles A German; Salim S Virani; Aliza Hussain; Christie M Ballantyne; Ali M Agha; Peter P Toth
Journal:  Am J Prev Cardiol       Date:  2021-01-23

8.  Descriptive epidemiology of changes in objectively measured sedentary behaviour and physical activity: six-year follow-up of the EPIC-Norfolk cohort.

Authors:  Samantha Hajna; Tom White; Søren Brage; Esther M F van Sluijs; Kate Westgate; Andy P Jones; Robert Luben; Kay-Tee Khaw; Nicholas J Wareham; Simon J Griffin
Journal:  Int J Behav Nutr Phys Act       Date:  2018-11-27       Impact factor: 6.457

9.  Is neighbourhood walkability related to body mass index among different age groups? A cross-sectional study of Canadian urban areas.

Authors:  Justin Thielman; Ray Copes; Laura C Rosella; Maria Chiu; Heather Manson
Journal:  BMJ Open       Date:  2019-11-28       Impact factor: 2.692

10.  Physical Distancing Measures and Walking Activity in Middle-aged and Older Residents in Changsha, China, During the COVID-19 Epidemic Period: Longitudinal Observational Study.

Authors:  Chao Zeng; Guanghua Lei; Yilun Wang; Yuqing Zhang; Kim Bennell; Daniel Kenta White; Jie Wei; Ziying Wu; Hongyi He; Shaohui Liu; Xianghang Luo; Shuo Hu
Journal:  J Med Internet Res       Date:  2020-10-26       Impact factor: 5.428

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.