Physical activity staging distribution: Establishing a heuristic using multiple studies

C. Nigg, L. Hellsten, G. Norman, L. Braun, R. Breger, P. Burbank, M. Coday, Diane Elliot, C. Garber, M. Greaney, S. Keteyian, F. Lees, C. Matthews, Esther Moe, B. Resnick, D. Riebe, J. Rossi, D. Toobert, T. Wang, G. WelkG. Williams

Research output: Contribution to journalArticle

32 Citations (Scopus)

Abstract

The purpose of this study was to identify the population prevalence across the stages of change (SoC) for regular physical activity and to establish the prevalence of people at risk. With support from the National Institutes of Health, the American Heart Association, and the Robert Wood Johnson Foundation, nine Behavior Change Consortium studies with a common physical activity SoC measure agreed to collaborate and share data. The distribution pattern identified in these predominantly reactively recruited studies was Precontemplation (PC) = 5% (± 10), Contemplation (C) = 10% (± 10), Preparation (P) = 40% (± 10), Action = 10% (± 10), and Maintenance = 35% (± 10). With reactively recruited studies, it can be anticipated that there will be a higher percentage of the sample that is ready to change and a greater percentage of currently active people compared to random representative samples. The at-risk stage distribution (i.e., those not at criteria or PC, C, and P) was approximately 10% PC, 20% C, and 70% P in specific samples and approximately 20% PC, 10% C, and 70% P in the clinical samples. Knowing SoC heuristics can inform public health practitioners and policymakers about the population's motivation for physical activity, help track changes over time, and assist in the allocation of resources.

Original languageEnglish (US)
Pages (from-to)35-45
Number of pages11
JournalAnnals of Behavioral Medicine
Volume29
Issue numberSUPPL.
DOIs
StatePublished - 2005

Fingerprint

Resource Allocation
National Institutes of Health (U.S.)
Population
Motivation
Public Health
Maintenance
Heuristics
adjuvant P40

ASJC Scopus subject areas

  • Psychology(all)

Cite this

Nigg, C., Hellsten, L., Norman, G., Braun, L., Breger, R., Burbank, P., ... Williams, G. (2005). Physical activity staging distribution: Establishing a heuristic using multiple studies. Annals of Behavioral Medicine, 29(SUPPL.), 35-45. https://doi.org/10.1207/s15324796abm2902s_7

Physical activity staging distribution : Establishing a heuristic using multiple studies. / Nigg, C.; Hellsten, L.; Norman, G.; Braun, L.; Breger, R.; Burbank, P.; Coday, M.; Elliot, Diane; Garber, C.; Greaney, M.; Keteyian, S.; Lees, F.; Matthews, C.; Moe, Esther; Resnick, B.; Riebe, D.; Rossi, J.; Toobert, D.; Wang, T.; Welk, G.; Williams, G.

In: Annals of Behavioral Medicine, Vol. 29, No. SUPPL., 2005, p. 35-45.

Research output: Contribution to journalArticle

Nigg, C, Hellsten, L, Norman, G, Braun, L, Breger, R, Burbank, P, Coday, M, Elliot, D, Garber, C, Greaney, M, Keteyian, S, Lees, F, Matthews, C, Moe, E, Resnick, B, Riebe, D, Rossi, J, Toobert, D, Wang, T, Welk, G & Williams, G 2005, 'Physical activity staging distribution: Establishing a heuristic using multiple studies', Annals of Behavioral Medicine, vol. 29, no. SUPPL., pp. 35-45. https://doi.org/10.1207/s15324796abm2902s_7
Nigg, C. ; Hellsten, L. ; Norman, G. ; Braun, L. ; Breger, R. ; Burbank, P. ; Coday, M. ; Elliot, Diane ; Garber, C. ; Greaney, M. ; Keteyian, S. ; Lees, F. ; Matthews, C. ; Moe, Esther ; Resnick, B. ; Riebe, D. ; Rossi, J. ; Toobert, D. ; Wang, T. ; Welk, G. ; Williams, G. / Physical activity staging distribution : Establishing a heuristic using multiple studies. In: Annals of Behavioral Medicine. 2005 ; Vol. 29, No. SUPPL. pp. 35-45.
@article{96fc7c8179364e7486e5400552c8badc,
title = "Physical activity staging distribution: Establishing a heuristic using multiple studies",
abstract = "The purpose of this study was to identify the population prevalence across the stages of change (SoC) for regular physical activity and to establish the prevalence of people at risk. With support from the National Institutes of Health, the American Heart Association, and the Robert Wood Johnson Foundation, nine Behavior Change Consortium studies with a common physical activity SoC measure agreed to collaborate and share data. The distribution pattern identified in these predominantly reactively recruited studies was Precontemplation (PC) = 5{\%} (± 10), Contemplation (C) = 10{\%} (± 10), Preparation (P) = 40{\%} (± 10), Action = 10{\%} (± 10), and Maintenance = 35{\%} (± 10). With reactively recruited studies, it can be anticipated that there will be a higher percentage of the sample that is ready to change and a greater percentage of currently active people compared to random representative samples. The at-risk stage distribution (i.e., those not at criteria or PC, C, and P) was approximately 10{\%} PC, 20{\%} C, and 70{\%} P in specific samples and approximately 20{\%} PC, 10{\%} C, and 70{\%} P in the clinical samples. Knowing SoC heuristics can inform public health practitioners and policymakers about the population's motivation for physical activity, help track changes over time, and assist in the allocation of resources.",
author = "C. Nigg and L. Hellsten and G. Norman and L. Braun and R. Breger and P. Burbank and M. Coday and Diane Elliot and C. Garber and M. Greaney and S. Keteyian and F. Lees and C. Matthews and Esther Moe and B. Resnick and D. Riebe and J. Rossi and D. Toobert and T. Wang and G. Welk and G. Williams",
year = "2005",
doi = "10.1207/s15324796abm2902s_7",
language = "English (US)",
volume = "29",
pages = "35--45",
journal = "Annals of Behavioral Medicine",
issn = "0883-6612",
publisher = "Springer New York",
number = "SUPPL.",

}

TY - JOUR

T1 - Physical activity staging distribution

T2 - Establishing a heuristic using multiple studies

AU - Nigg, C.

AU - Hellsten, L.

AU - Norman, G.

AU - Braun, L.

AU - Breger, R.

AU - Burbank, P.

AU - Coday, M.

AU - Elliot, Diane

AU - Garber, C.

AU - Greaney, M.

AU - Keteyian, S.

AU - Lees, F.

AU - Matthews, C.

AU - Moe, Esther

AU - Resnick, B.

AU - Riebe, D.

AU - Rossi, J.

AU - Toobert, D.

AU - Wang, T.

AU - Welk, G.

AU - Williams, G.

PY - 2005

Y1 - 2005

N2 - The purpose of this study was to identify the population prevalence across the stages of change (SoC) for regular physical activity and to establish the prevalence of people at risk. With support from the National Institutes of Health, the American Heart Association, and the Robert Wood Johnson Foundation, nine Behavior Change Consortium studies with a common physical activity SoC measure agreed to collaborate and share data. The distribution pattern identified in these predominantly reactively recruited studies was Precontemplation (PC) = 5% (± 10), Contemplation (C) = 10% (± 10), Preparation (P) = 40% (± 10), Action = 10% (± 10), and Maintenance = 35% (± 10). With reactively recruited studies, it can be anticipated that there will be a higher percentage of the sample that is ready to change and a greater percentage of currently active people compared to random representative samples. The at-risk stage distribution (i.e., those not at criteria or PC, C, and P) was approximately 10% PC, 20% C, and 70% P in specific samples and approximately 20% PC, 10% C, and 70% P in the clinical samples. Knowing SoC heuristics can inform public health practitioners and policymakers about the population's motivation for physical activity, help track changes over time, and assist in the allocation of resources.

AB - The purpose of this study was to identify the population prevalence across the stages of change (SoC) for regular physical activity and to establish the prevalence of people at risk. With support from the National Institutes of Health, the American Heart Association, and the Robert Wood Johnson Foundation, nine Behavior Change Consortium studies with a common physical activity SoC measure agreed to collaborate and share data. The distribution pattern identified in these predominantly reactively recruited studies was Precontemplation (PC) = 5% (± 10), Contemplation (C) = 10% (± 10), Preparation (P) = 40% (± 10), Action = 10% (± 10), and Maintenance = 35% (± 10). With reactively recruited studies, it can be anticipated that there will be a higher percentage of the sample that is ready to change and a greater percentage of currently active people compared to random representative samples. The at-risk stage distribution (i.e., those not at criteria or PC, C, and P) was approximately 10% PC, 20% C, and 70% P in specific samples and approximately 20% PC, 10% C, and 70% P in the clinical samples. Knowing SoC heuristics can inform public health practitioners and policymakers about the population's motivation for physical activity, help track changes over time, and assist in the allocation of resources.

UR - http://www.scopus.com/inward/record.url?scp=20944441534&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=20944441534&partnerID=8YFLogxK

U2 - 10.1207/s15324796abm2902s_7

DO - 10.1207/s15324796abm2902s_7

M3 - Article

C2 - 15921488

AN - SCOPUS:20944441534

VL - 29

SP - 35

EP - 45

JO - Annals of Behavioral Medicine

JF - Annals of Behavioral Medicine

SN - 0883-6612

IS - SUPPL.

ER -