Four-week pedometer-determined activity patterns in normal weight and overweight UK adults
Open accessAbstract
Objective To assess pedometer-determined physical activity levels and activity patterns in a sample of free-living normal weight and overweight UK adults.Design Pedometer-based 4-week observational study.Participants One hundred and twenty-two healthy participants, recruited from two regions in the UK, classified as normal weight (33 females and 26 males) or overweight (31 females and 32 males), in the age range of 18 to 65 years, completed the study.Measurements Daily step counts were measured using a Yamax SW-200 pedometer, and were then recorded in an activity log. Comparisons were made between activity patterns occurring over different days of the week for the normal weight and overweight groups. Measurements of height, weight and percentage body fat, by bioelectrical impedance, were taken pre- and post-study.Results A consistent reduction in activity was observed on a Sunday in the overweight group, and mean daily step counts accumulated on Sundays were significantly lower, by an average of 2221 steps/day, when compared with all other days of the week (all P<0.001). In comparison, no day-of-the-week effect was observed in the normal weight group. Mean step counts reported on each day of the week did not differ significantly between the two groups, with the exception of Sunday when the overweight group reported significantly fewer steps than the normal weight participants (8093 versus 10 538, P<0.001).Conclusions Activity levels dropped dramatically in the sample of overweight adults on a Sunday. Simple instructions to at-risk individuals, to increase their general activity levels on a Sunday, via general practitioners and public health messages could prove to be a subtle, but effective, strategy to tackle obesity.
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At baseline, physical activity was lowest on Sundays and highest on Saturdays, with Sunday activity significantly lower than average weekday activity (P = 0.010).
“At baseline, physical activity was lowest on Sundays and highest on Saturdays (Figure 2b), with Sunday's activity significantly lower than the average weekday activity (P = 0.010 Sunday vs. weekdays)”
From Influence of Weekend Lifestyle Patterns on Body Weight (2008) · cites this paper as [13]
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- Authors
- Clemes, S. A., Griffiths, P. L., & Hamilton, S. L.
- Affiliations
- Loughborough University (GB)
- Corresponding author
- Clemes, S A
- Venue
- International Journal of Obesity
- Published
- 2006-06-20
- Volume
- 31
- Issue
- 2
- Pages
- 261-266
- ISSN
- 0307-0565 (ISSN-L)
- 1476-5497
- OpenAlex
- W2055666861
- Cited by
- 36
- References
- 30
- Citations by year
- 2022: 1 · 2021: 1 · 2018: 1 · 2016: 2 · 2015: 3 · 2014: 1 · 2013: 1 · 2012: 2
- FWCI
- 3.54
- Type
- journal article
- Language
- en
- Open access
- green
- figshare.com
- Licence
- cc-by-nc-nd
- www.springer.com/tdm (tdm)
- Locations
- International Journal of Obesity (publishedVersion)
- PubMed (publishedVersion)
- Loughborough University Research Repository (Loughborough University) (submittedVersion, cc-by-nc-nd)
- Loughborough University Institutional Repository (Loughborough University) (submittedVersion, cc-by-nc-nd)
- Topics
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Keywords
- physical activity patterns, step count, overweight adults, normal-weight individuals, day-of-week variation, obesity prevention, pedometer-measured activity, free-living physical activity
- MeSH terms
- Adipose Tissue, Adolescent, Adult, Aged, Body Composition, Body Weight, Physical Exertion, Female, Humans, Male, Middle Aged, Motor Activity, Periodicity, Sex Factors, Body Mass Index, Overweight
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