Literature DB >> 15116087

Patterns of physical activity in free-living adults in the Southern United States.

M S Buchowski1, S Acra, K M Majchrzak, M Sun, K Y Chen.   

Abstract

OBJECTIVE: To examine the relationship between the amount and patterns of physical activity (PA), body fatness, and age in a heterogeneous adult population in the free living.
DESIGN: Cross-sectional study of the amount of PA over a 1-week period. The amount of body movements during PA (PA counts*10(3)) and time spent on various PA intensity categories were calculated from a triaxial accelerometer and compared with subject characteristics, including body fat from hydrodensitometry. PARTICIPANTS: Adult healthy men (n=48) and women (n=72) were recruited from the Nashville, Tennessee area and their PA was monitored in their free-living environment.
RESULTS: The average weekday PA counts (176.5+/-60.3, P=0.002, r(2)=0.294), PA counts day-to-day variability (47.3+/-32.7, P=0.002, r(2)=0.286), daily maximum PA counts (241.9+/-89.2, P=0.001, r(2)=0.327), minute-to-minute variability on weekdays (0.281+/-0.091, P=0.001, r(2)=0.362), and the difference between maximum and minimum daily PA counts (130.6+/-78.3, P=0.008, r(2)=0.243) were significantly and negatively correlated with body fatness. During awake time, both men and women spent 10-12 h on low intensity (1.0-2.9 metabolic equivalents (METs)) PA, approximately 1 h on moderate (3.0-5.9 MET), and less than 10 min on vigorous (>6.0 MET) PA each day. On weekends, men and women spent more time at rest (1 MET), less time on low-intensity PA, and men spent more time on moderate PA than on weekdays.
CONCLUSIONS: In adults living in the Southern US the amount of free-living PA was negatively correlated with body fatness. Both men and women spent the majority of active time on low and moderate PA. PA patterns on weekends were different than on weekdays and were related to sex and age, but not to body fatness. SPONSORSHIP: National Institutes of Health, US.

Entities:  

Mesh:

Year:  2004        PMID: 15116087     DOI: 10.1038/sj.ejcn.1601928

Source DB:  PubMed          Journal:  Eur J Clin Nutr        ISSN: 0954-3007            Impact factor:   4.016


  19 in total

1.  Type of activity pacing instruction affects physical activity variability in adults with symptomatic knee or hip osteoarthritis.

Authors:  Susan L Murphy; Dylan M Smith; Angela K Lyden
Journal:  J Phys Act Health       Date:  2011-05-09

2.  Evaluation of a questionnaire to assess sedentary and active behaviors in the Southern Community Cohort Study.

Authors:  Maciej S Buchowski; Charles E Matthews; Sarah S Cohen; Lisa B Signorello; Jay H Fowke; Margaret K Hargreaves; David G Schlundt; William J Blot
Journal:  J Phys Act Health       Date:  2011-08-02

3.  Variability in physical activity patterns as measured by the SenseWear Armband: how many days are needed?

Authors:  Tineke Scheers; Renaat Philippaerts; Johan Lefevre
Journal:  Eur J Appl Physiol       Date:  2011-08-28       Impact factor: 3.078

4.  Physical activity and obesity gap between black and white women in the southeastern U.S.

Authors:  Maciej S Buchowski; Sarah S Cohen; Charles E Matthews; David G Schlundt; Lisa B Signorello; Margaret K Hargreaves; William J Blot
Journal:  Am J Prev Med       Date:  2010-08       Impact factor: 5.043

5.  Validation of accelerometer wear and nonwear time classification algorithm.

Authors:  Leena Choi; Zhouwen Liu; Charles E Matthews; Maciej S Buchowski
Journal:  Med Sci Sports Exerc       Date:  2011-02       Impact factor: 5.411

6.  Assessment of wear/nonwear time classification algorithms for triaxial accelerometer.

Authors:  Leena Choi; Suzanne Capen Ward; John F Schnelle; Maciej S Buchowski
Journal:  Med Sci Sports Exerc       Date:  2012-10       Impact factor: 5.411

7.  Seasonal changes in amount and patterns of physical activity in women.

Authors:  Maciej S Buchowski; Leena Choi; Karen M Majchrzak; Sari Acra; Charles E Mathews; Kong Y Chen
Journal:  J Phys Act Health       Date:  2009-03

8.  Comparison of variations between percentage of body fat, body mass index and daily physical activity among young Japanese and Thai female students.

Authors:  Tomoko Morinaka; Porn-ngarm Limtrakul; Luksana Makonkawkeyoon; Yoshiaki Sone
Journal:  J Physiol Anthropol       Date:  2012-08-15       Impact factor: 2.867

9.  Physical activity patterns assessed by accelerometry in older people.

Authors:  Mark G Davis; Kenneth R Fox
Journal:  Eur J Appl Physiol       Date:  2006-10-25       Impact factor: 3.346

10.  Patterns of physical activity among overweight and obese adults.

Authors:  Deborah Rohm Young; Gerald J Jerome; Chuhe Chen; Daniel Laferriere; William M Vollmer
Journal:  Prev Chronic Dis       Date:  2009-06-15       Impact factor: 2.830

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.