Literature DB >> 18364517

BMI-referenced cut points for pedometer-determined steps per day in adults.

C Tudor-Locke1, D R Bassett, W J Rutherford, B E Ainsworth, C B Chan, K Croteau, B Giles-Corti, G Le Masurier, K Moreau, J Mrozek, J M Oppert, A Raustorp, S J Strath, D Thompson, M C Whitt-Glover, B Wilde, J R Wojcik.   

Abstract

BACKGROUND: The goal of this study was to establish preliminary criterion-referenced cut points for adult pedometer-determined physical activity (PA) related to weight status defined by body mass index (BMI).
METHODS: Researchers contributed directly measured BMI and pedometer data that had been collected (1) using a Yamax-manufactured pedometer, (2) for a minimum of 3 days, (3) on ostensibly healthy adults. The contrasting groups method was used to identify age- and gender-specific cut points for steps/d related to BMI cut points for normal weight and overweight/obesity (defined as BMI <25 and >or=25 kg/m2, respectively).
RESULTS: Data included 3127 individuals age 18 to 94 years (976 men, age = 46.8 +/- 15.4 years, BMI = 27.3 +/- 4.9; 2151 women, age = 47.4 +/- 14.9 years, BMI = 27.6 +/- 6.4; all gender differences NS). Best estimated cut points for normal versus overweight/obesity ranged from 11,000 to 12,000 steps/d for men and 8000 to 12,000 steps/d for women (consistently higher for younger age groups).
CONCLUSIONS: These steps/d cut points can be used to identify individuals at risk, or the proportion of adults achieving or falling short of set cut points can be reported and compared between populations. Cut points can also be used to set intervention goals, and they can be referred to when evaluating program impact, as well as environmental and policy changes.

Entities:  

Mesh:

Year:  2008        PMID: 18364517      PMCID: PMC2866423          DOI: 10.1123/jpah.5.s1.s126

Source DB:  PubMed          Journal:  J Phys Act Health        ISSN: 1543-3080


  13 in total

Review 1.  How many steps/day are enough? Preliminary pedometer indices for public health.

Authors:  Catrine Tudor-Locke; David R Bassett
Journal:  Sports Med       Date:  2004       Impact factor: 11.136

2.  Validity of 10 electronic pedometers for measuring steps, distance, and energy cost.

Authors:  Scott E Crouter; Patrick L Schneider; Murat Karabulut; David R Bassett
Journal:  Med Sci Sports Exerc       Date:  2003-08       Impact factor: 5.411

3.  How many days of pedometer monitoring predict weekly physical activity in adults?

Authors:  C Tudor-Locke; L Burkett; J P Reis; B E Ainsworth; C A Macera; D K Wilson
Journal:  Prev Med       Date:  2005-03       Impact factor: 4.018

4.  Pedometer indices for weekly physical activity recommendations in postmenopausal women.

Authors:  Alexander N Jordan; Gina M Jurca; Catrine Tudor Locke; Timothy S Church; Steven N Blair
Journal:  Med Sci Sports Exerc       Date:  2005-09       Impact factor: 5.411

Review 5.  Physical activity and public health. A recommendation from the Centers for Disease Control and Prevention and the American College of Sports Medicine.

Authors:  R R Pate; M Pratt; S N Blair; W L Haskell; C A Macera; C Bouchard; D Buchner; W Ettinger; G W Heath; A C King
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6.  Obesity and the environment: where do we go from here?

Authors:  James O Hill; Holly R Wyatt; George W Reed; John C Peters
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7.  BMI-referenced standards for recommended pedometer-determined steps/day in children.

Authors:  Catrine Tudor-Locke; Robert P Pangrazi; Charles B Corbin; William J Rutherford; Susan D Vincent; Anders Raustorp; L Michaud Tomson; Thomas F Cuddihy
Journal:  Prev Med       Date:  2004-06       Impact factor: 4.018

8.  Controlled outcome evaluation of the First Step Program: a daily physical activity intervention for individuals with type II diabetes.

Authors:  C Tudor-Locke; R C Bell; A M Myers; S B Harris; N A Ecclestone; N Lauzon; N W Rodger
Journal:  Int J Obes Relat Metab Disord       Date:  2004-01

9.  Accumulating 10,000 steps: does this meet current physical activity guidelines?

Authors:  Guy C Le Masurier; Cara L Sidman; Charles B Corbin
Journal:  Res Q Exerc Sport       Date:  2003-12       Impact factor: 2.500

10.  Effects of long-term moderate exercise and increase in number of daily steps on serum lipids in women: randomised controlled trial [ISRCTN21921919].

Authors:  Hiroko Sugiura; Haruo Sugiura; Kazue Kajima; Seyed Mohammad Mirbod; Hirotoshi Iwata; Toshio Matsuoka
Journal:  BMC Womens Health       Date:  2002       Impact factor: 2.809

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Authors:  Yoshimi Fukuoka; Caryl L Gay; Kevin L Joiner; Eric Vittinghoff
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2.  Physical activity modulates corticospinal excitability of the lower limb in young and old adults.

Authors:  Hamidollah Hassanlouei; Christopher W Sundberg; Ashleigh E Smith; Andrew Kuplic; Sandra K Hunter
Journal:  J Appl Physiol (1985)       Date:  2017-05-11

3.  Self-Selected Walking Speed is Predictive of Daily Ambulatory Activity in Older Adults.

Authors:  Addie Middleton; George D Fulk; Michael W Beets; Troy M Herter; Stacy L Fritz
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4.  Association Between Physical Activity Intensity and Physical Capacity Among Individuals Awaiting Bariatric Surgery.

Authors:  Brittany V Rioux; Martin Sénéchal; Karen Kwok; Jill Fox; Dean Gamey; Neha Bharti; Ashley Vergis; Krista Hardy; Danielle R Bouchard
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5.  Why do pedometers work?: a reflection upon the factors related to successfully increasing physical activity.

Authors:  Catrine Tudor-Locke; Lesley Lutes
Journal:  Sports Med       Date:  2009       Impact factor: 11.136

6.  An exercise prescription course to improve pharmacy students' confidence in patient counseling.

Authors:  Adam M Persky
Journal:  Am J Pharm Educ       Date:  2009-11-12       Impact factor: 2.047

7.  Steps per day: the road to senior health?

Authors:  Yukitoshi Aoyagi; Roy J Shephard
Journal:  Sports Med       Date:  2009       Impact factor: 11.136

8.  Intervention for spanish overweight teenagers in physical education lessons.

Authors:  Emilio J Martínez-López; Alberto Grao-Cruces; José E Moral-García; Antonio Pantoja-Vallejo
Journal:  J Sports Sci Med       Date:  2012-06-01       Impact factor: 2.988

9.  The SMARTER Trial: Design of a trial testing tailored mHealth feedback to impact self-monitoring of diet, physical activity, and weight.

Authors:  Lora E Burke; Susan M Sereika; Bambang Parmanto; Britney Beatrice; Mia Cajita; India Loar; I Wayan Pulantara; Yuhan Wang; Jacob Kariuki; Yang Yu; Maribel Cedillo; Jessica Cheng; Molly B Conroy
Journal:  Contemp Clin Trials       Date:  2020-02-19       Impact factor: 2.226

10.  Correction: Expected values for pedometer-determined physical activity in older populations.

Authors:  Catrine Tudor-Locke; Teresa L Hart; Tracy L Washington
Journal:  Int J Behav Nutr Phys Act       Date:  2009-10-09       Impact factor: 6.457

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