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

Tudor-Locke, Catrine; Burkett, Lee N.; Reis, Jared P.; Ainsworth, Barbara E.; Macera, Caroline A.; Wilson, Dawn K.

doi:10.1016/j.ypmed.2004.06.003

Cited by 401 publications

(344 citation statements)

References 28 publications

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“…The reduction in step counts reported on a Sunday seen in our overweight group is larger (2221 steps/day) than that reported in the study by Tudor-Locke et al 5 A possible explanation for this is that Tudor-Locke et al's 5 sample were not categorized into different BMI groups. It is therefore possible that their normal weight individuals may have masked a larger 'Sunday effect' present in their overweight participants.…”

Section: Discussioncontrasting

confidence: 64%

“…[6][7][8] For example, using the same pedometer, Tudor-Locke et al 5 reported that participants took significantly fewer steps (by approximately 1250 steps/day) on a Sunday in comparison with all other days of the week.…”

Section: Discussionmentioning

confidence: 99%

“…5 The majority of research published investigating pedometer determined activity levels has been conducted on US adults, and with one exception, 6 a popular monitoring frame has been 7 days. 4,5,[7][8][9] To date, little research has been published in the medical and scientific literature investigating pedometer-determined activity in healthy UK adults. 10 With the growing problem of obesity worldwide, it is essential to understand activity levels and patterns in different populations to aid in the formulation of appropriate public health messages.…”

Section: Introductionmentioning

confidence: 99%

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Four-week pedometer-determined activity patterns in normal weight and overweight UK adults

2006

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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 Po0.001). 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, Po0.001). 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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Section: Discussioncontrasting

confidence: 64%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Four-week pedometer-determined activity patterns in normal weight and overweight UK adults

2006

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“…A previous study found an intraclass correlation of 0.71-0.84 for any 2 days of recording, and two consecutive days captured 89% of the variance of a 7-day recording period. 19 Assessment of recent PA time, TV time, diet and demographic attributes Self-reported PA, TV time, diet, alcohol, cigarette consumption and demographic attributes, were assessed using an interviewer-administered questionnaire. Participants reported the frequency and duration of their PA for the previous week using the Active Australia Survey questionnaire.…”

Section: Pedometersmentioning

confidence: 99%

The inverse relationship between number of steps per day and obesity in a population-based sample – the AusDiab study

Dwyer

Hosmer

et al. 2006

Int J Obes

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Background: Physical activity (PA) is inversely associated with obesity but the effect has been difficult to quantify using questionnaires. In particular, the shape of the association has not yet been well described. Pedometers provide an opportunity to better characterize the association. Methods: Residents of households over the age of 25 years in randomly selected census districts in Tasmania were eligible to participate in the AusDiab cross-sectional survey conducted in 1999-2000. 1848 completed the AusDiab survey and 1126 of these (609 women and 517 men) wore a pedometer for 2-weekdays. Questionnaire data on recent PA, TV time and other factors were obtained. The outcomes were waist circumference (in cm) and body mass index (BMI) (kg/m 2 ). Results: Increasing daily steps were associated with a decline in the obesity measures. The logarithmic nature of the associations was indicated by a sharper decline for those with lower daily steps. For example, an additional 2000 steps for those taking only 2000 steps per day was associated with a reduction of 2.8 (95% confidence interval (CI): 2.1,4.4) cm in waist circumference among men (for women; 2.2 (95% CI: 0.6, 3.9 cm)) with a baseline of only 2000, steps compared to a 0.7 (95% CI 0.3, 1.1) cm reduction (for women; 0.6 (95% CI: 0.2, 1.0)) for those already walking 10 000 steps daily. In the multivariable analysis, clearer associations were detected for PA and these obesity measures using daily step number rather than PA time by questionnaire. Interpretation: Pedometer measures of activity indicate that the inverse association between recent PA and obesity is logarithmic in form with the greatest impact for a given arithmetic step number increase seen at lower levels of baseline activity. The findings from this study need to be examined in prospective settings.

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“…Torstensen et al [55] used a free-living walking group instructed to walk for 1 h three times per week [55]. Although telephone monitoring was carried out, there was no direct measurement of walking duration or intensity by use of pedometer [56] activity diaries [6] or activity monitor [41]. Previous research has shown that the use of such devices improves compliance and adherence to a walking programme and also allows walking intervention to be objectively measured [9].…”

Section: Discussionmentioning

confidence: 99%

The effectiveness of walking as an intervention for low back pain: a systematic review

et al. 2010

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As current low back pain (LBP) guidelines do not specifically advocate walking as an intervention, this review has explored for the effectiveness of walking in managing acute and chronic LBP. CINAHL, Medline, AMED, EMBASE, PubMed, Cochrane and Scopus databases, as well as a hand search of reference lists of retrieved articles, were searched. The search was restricted to studies in the English language. Studies were included when walking was identified as an intervention. Four studies met inclusion criteria, and were assessed with a quality checklist. Three lower ranked studies reported a reduction in LBP from a walking intervention, while the highest ranked study observed no effect. Heterogeneity of study design made it difficult to draw comparisons between studies. There is only low-moderate evidence for walking as an effective intervention strategy for LBP. Further investigation is required to investigate the strength of effect for walking as a primary intervention in the management of acute and chronic LBP.

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

Cited by 401 publications

References 28 publications

Four-week pedometer-determined activity patterns in normal weight and overweight UK adults

Four-week pedometer-determined activity patterns in normal weight and overweight UK adults

The inverse relationship between number of steps per day and obesity in a population-based sample – the AusDiab study

The effectiveness of walking as an intervention for low back pain: a systematic review

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