Literature DB >> 16905031

Active transportation increases adherence to activity recommendations.

David Berrigan1, Richard P Troiano, Timothy McNeel, Charles Disogra, Rachel Ballard-Barbash.   

Abstract

BACKGROUND: Levels of physical activity (PA) contribute to health status and outcomes directly and indirectly via the effects of PA on obesity and other risk factors. Much past surveillance has focused on leisure-time physical activity (LTPA), but this may bias estimates of prevalence. This study explores inclusion of non-leisure-time walking and bicycling (NLTWB) used for transportation on the prevalence of adherence to PA recommendations and the magnitude of apparent disparities in adherence for California adults.
METHODS: Results of the 2001 California Health Interview Survey, a large (n = 55,151) telephone survey were analyzed in 2005 using tabulation and logistic regression.
RESULTS: Higher levels of LTPA were associated with youth, males, education, income, Pacific Islanders, and non-Hispanic (NH) whites. Inclusion of NLTWB reduced these differences for all five variables. The largest decreases in disparities in adherence occurred for race/ethnicity, education, and income, with decreases in adherence differences from approximately 18% to 7% for NH white vs Latino, approximately 27% to 16% for more than high school versus less than high school, and approximately 25% to 11% for more than 300% versus less than 100% of poverty level. Logistic regression comparing adherence gives similar results. For example, in respondents with more than high school education versus less than high school education (referent), the odds ratio changed from 2.23 (95% confidence interval [CI] = 2.0-2.4) to 1.7 (1.6-1.9) after the inclusion of NLTWB.
CONCLUSIONS: Assessment of PA in multiple domains is required to understand differences in total levels of PA for people with different incomes, education levels, and racial/ethnic backgrounds. Inclusion of NLTWB reduces but does not eliminate disparities in adherence to recommended levels of PA.

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Year:  2006        PMID: 16905031     DOI: 10.1016/j.amepre.2006.04.007

Source DB:  PubMed          Journal:  Am J Prev Med        ISSN: 0749-3797            Impact factor:   5.043


  30 in total

1.  Diabetes Prevalence by Leisure-, Transportation-, and Occupation-Based Physical Activity Among Racially/Ethnically Diverse U.S. Adults.

Authors:  Anna A Divney; Rosenda Murillo; Fatima Rodriguez; Chloe A Mirzayi; Emma K Tsui; Sandra E Echeverria
Journal:  Diabetes Care       Date:  2019-05-21       Impact factor: 19.112

2.  Physical activity, weight control, and breast cancer risk and survival: clinical trial rationale and design considerations.

Authors:  Rachel Ballard-Barbash; Sally Hunsberger; Marianne H Alciati; Steven N Blair; Pamela J Goodwin; Anne McTiernan; Rena Wing; Arthur Schatzkin
Journal:  J Natl Cancer Inst       Date:  2009-04-28       Impact factor: 13.506

Review 3.  Exercise: friend or foe?

Authors:  Frida J Dangardt; William J McKenna; Thomas F Lüscher; John E Deanfield
Journal:  Nat Rev Cardiol       Date:  2013-06-25       Impact factor: 32.419

4.  Walking for transportation among Latino adults in San Diego County: who meets physical activity guidelines?

Authors:  Suzanna M Martinez; Elva M Arredondo; Scott Roesch; Kevin Patrick; Guadalupe X Ayala; John P Elder
Journal:  J Phys Act Health       Date:  2011-09

5.  Comparisons of Physical Activity and Walking Between Korean Immigrant and White Women in King County, WA.

Authors:  So-Ra Baek; Anne Vernez Moudon; Brian E Saelens; Bumjoon Kang; Philip M Hurvitz; Chang-Hee Christine Bae
Journal:  J Immigr Minor Health       Date:  2016-12

6.  Employment and physical activity in the U.S.

Authors:  Dane R Van Domelen; Annemarie Koster; Paolo Caserotti; Robert J Brychta; Kong Y Chen; James J McClain; Richard P Troiano; David Berrigan; Tamara B Harris
Journal:  Am J Prev Med       Date:  2011-08       Impact factor: 5.043

7.  Young women's physical activity from one year to the next: What changes? What stays the same?

Authors:  Maureen O'Dougherty; Mary O Hearst; Andrea Y Arikawa; Steven D Stovitz; Mindy S Kurzer; Kathryn H Schmitz
Journal:  Transl Behav Med       Date:  2012-06-01       Impact factor: 3.046

8.  Active transportation and acculturation among Latino children in San Diego County.

Authors:  Suzanna M Martinez; Guadalupe X Ayala; Elva M Arredondo; Brian Finch; John Elder
Journal:  Prev Med       Date:  2008-02-09       Impact factor: 4.018

9.  The social environment and walking behavior among low-income housing residents.

Authors:  Caitlin E Caspi; Ichiro Kawachi; S V Subramanian; Reginald Tucker-Seeley; Glorian Sorensen
Journal:  Soc Sci Med       Date:  2012-12-17       Impact factor: 4.634

10.  A walk (or cycle) to the park: active transit to neighborhood amenities, the CARDIA study.

Authors:  Janne Boone-Heinonen; David R Jacobs; Stephen Sidney; Barbara Sternfeld; Cora E Lewis; Penny Gordon-Larsen
Journal:  Am J Prev Med       Date:  2009-10       Impact factor: 5.043

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