Literature DB >> 11726385

Limitations on the use of a single screening question to measure sedentary behavior.

C A Macera1, S A Ham, D A Jones, C D Kimsey, B E Ainsworth, L J Neff.   

Abstract

OBJECTIVES: This study explored the limitations of identifying sedentary individuals via an existing screening question in a state-based surveillance system.
METHODS: A national sample (n = 7529) of adults, selected by random-digit dialing between November 1999 and May 2000, responded about participation in leisure-time physical activity.
RESULTS: Of those who initially reported no leisure-time physical activity (25%), 85% were engaging in at least some activity, and 20% were engaging in enough moderate- or vigorous-intensity activity to meet health-related recommendations.
CONCLUSIONS: Public health programs that use only 1 screening question to identify sedentary behavior may not be able to target physical activity messages effectively, especially if physical activity is defined to include a broad range of activities beyond sports.

Mesh:

Year:  2001        PMID: 11726385      PMCID: PMC1446924          DOI: 10.2105/ajph.91.12.2010

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  8 in total

1.  The validity of single-item, self-assessment questions as measures of adult physical activity.

Authors:  T W Weiss; C H Slater; L W Green; V C Kennedy; D L Albright; C C Wun
Journal:  J Clin Epidemiol       Date:  1990       Impact factor: 6.437

2.  Using the stages of change model to increase the adoption of physical activity among community participants.

Authors:  B H Marcus; S W Banspach; R C Lefebvre; J S Rossi; R A Carleton; D B Abrams
Journal:  Am J Health Promot       Date:  1992 Jul-Aug

Review 3.  Levels of physical activity and inactivity in children and adults in the United States: current evidence and research issues.

Authors:  M Pratt; C A Macera; C Blanton
Journal:  Med Sci Sports Exerc       Date:  1999-11       Impact factor: 5.411

4.  Comparison of three methods for measuring the time spent in physical activity.

Authors:  B E Ainsworth; D R Bassett; S J Strath; A M Swartz; W L O'Brien; R W Thompson; D A Jones; C A Macera; C D Kimsey
Journal:  Med Sci Sports Exerc       Date:  2000-09       Impact factor: 5.411

Review 5.  The transtheoretical model: applications to exercise behavior.

Authors:  B H Marcus; L R Simkin
Journal:  Med Sci Sports Exerc       Date:  1994-11       Impact factor: 5.411

6.  Reduction in cardiovascular disease risk factors: 6-month results from Project Active.

Authors:  A L Dunn; B H Marcus; J B Kampert; M E Garcia; H W Kohl; S N Blair
Journal:  Prev Med       Date:  1997 Nov-Dec       Impact factor: 4.018

7.  Measuring physical activity with a single question.

Authors:  K B Schechtman; B Barzilai; K Rost; E B Fisher
Journal:  Am J Public Health       Date:  1991-06       Impact factor: 9.308

8.  Problems in estimating the prevalence of physical activity from national surveys.

Authors:  C H Slater; L W Green; S W Vernon; V M Keith
Journal:  Prev Med       Date:  1987-01       Impact factor: 4.018

  8 in total
  11 in total

1.  Screen time, physical activity and depression risk in minority women.

Authors:  Jessica Y Breland; Ashley M Fox; Carol R Horowitz
Journal:  Ment Health Phys Act       Date:  2013-03

2.  Correspondence (letter to the editor): To be interpreted with caution.

Authors:  Martin Hofmeister
Journal:  Dtsch Arztebl Int       Date:  2012-10-19       Impact factor: 5.594

3.  Physical activity participation, health perceptions, and cardiovascular disease mortality in a multiethnic population: the Dallas Heart Study.

Authors:  Reese A Mathieu; Tiffany M Powell-Wiley; Colby R Ayers; Darren K McGuire; Amit Khera; Sandeep R Das; Susan G Lakoski
Journal:  Am Heart J       Date:  2012-06       Impact factor: 4.749

4.  Factors associated with choice of web or print intervention materials in the healthy directions 2 study.

Authors:  Mary L Greaney; Elaine Puleo; Gary G Bennett; Jess Haines; K Viswanath; Matthew W Gillman; Kim Sprunck-Harrild; Molly Coeling; Donna Rusinak; Karen M Emmons
Journal:  Health Educ Behav       Date:  2013-05-29

5.  Project HEAL: peer education leads to weight loss in Harlem.

Authors:  Judith Z Goldfinger; Guedy Arniella; Judith Wylie-Rosett; Carol R Horowitz
Journal:  J Health Care Poor Underserved       Date:  2008-02

6.  A randomized comparative effectiveness study of Healthy Directions 2--a multiple risk behavior intervention for primary care.

Authors:  Karen M Emmons; Elaine Puleo; Mary L Greaney; Matthew W Gillman; Gary G Bennett; Jess Haines; Kim Sprunck-Harrild; K Viswanath
Journal:  Prev Med       Date:  2014-03-16       Impact factor: 4.018

7.  Cluster randomized controlled trial of a peer support program for people with diabetes: study protocol for the Australasian Peers for Progress study.

Authors:  Michaela A Riddell; Carla Renwick; Rory Wolfe; Stephen Colgan; James Dunbar; Virginia Hagger; Pilvikki Absetz; Brian Oldenburg
Journal:  BMC Public Health       Date:  2012-10-04       Impact factor: 3.295

8.  Physical activity, exercise and self-rated health: a population-based study from Sweden.

Authors:  Marita Södergren; Jan Sundquist; Sven-Erik Johansson; Kristina Sundquist
Journal:  BMC Public Health       Date:  2008-10-07       Impact factor: 3.295

9.  Associations between Body Composition, Hormonal and Lifestyle Factors, Bone Turnover, and BMD.

Authors:  Margaret L Gourlay; Catherine A Hammett-Stabler; Jordan B Renner; Janet E Rubin
Journal:  J Bone Metab       Date:  2014-02-28

10.  Obesity-Related Behaviors among Poor Adolescents and Young Adults: Is Social Position Associated with Risk Behaviors?

Authors:  Miranda Lucia Ritterman Weintraub; Lia C Fernald; Elizabeth Goodman; Sylvia Guendelman; Nancy E Adler
Journal:  Front Public Health       Date:  2015-10-16
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