Literature DB >> 25608476

Acceptability and Feasibility of Physical Activity Assessment Methods for an Appalachian Population.

Yelena N Tarasenko1, Britteny M Howell, Christina R Studts, Scott J Strath, Nancy E Schoenberg.   

Abstract

Nowhere is improving understanding and accurate assessment of physical activity more important for disease prevention and health promotion than among health disparities populations such as those residing in rural and Appalachian regions. To enhance accurate assessment of physical activity and potentially improve intervention capacity, we conducted a mixed-methods study examining the acceptability and feasibility of self-report physical activity questionnaires, pedometers, and accelerometers among rural Appalachian children, adolescents, and adults. Most participants reported positive experiences with all three physical activity assessment tools. Several acceptability ratings differed by age group and by sex within each age group. With very few exceptions, no significant differences in acceptability were found by race, education, employment status, health status, BMI categories, income levels, or insurance status within age groups or overall. Several factors may impact the choice of the physical activity assessment method, including target population age, equipment cost, researcher burden, and potential influence on physical activity levels. Children and adolescents appear to have more constraints on when they can wear pedometers and accelerometers. While pedometers are inexpensive and convenient, they may influence physical activity levels, rather than simply measure them. Accelerometers, while less influential on behavior, consume extensive resources, including high purchase costs and researcher burden.

Entities:  

Mesh:

Year:  2015        PMID: 25608476      PMCID: PMC4640465          DOI: 10.1007/s10900-015-9990-7

Source DB:  PubMed          Journal:  J Community Health        ISSN: 0094-5145


  26 in total

1.  Teleform: a blessing or burden?

Authors:  M A Nies; L Hein
Journal:  Public Health Nurs       Date:  2000 Mar-Apr       Impact factor: 1.462

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

Authors:  C Tudor-Locke; L Burkett; J P Reis; B E Ainsworth; C A Macera; D K Wilson
Journal:  Prev Med       Date:  2005-03       Impact factor: 4.018

3.  Urban, rural, and regional variations in physical activity.

Authors:  Sarah Levin Martin; Gregory J Kirkner; Kelly Mayo; Charles E Matthews; J Larry Durstine; James R Hebert
Journal:  J Rural Health       Date:  2005       Impact factor: 4.333

4.  Availability of physical activity-related facilities and neighborhood demographic and socioeconomic characteristics: a national study.

Authors:  Lisa M Powell; Sandy Slater; Frank J Chaloupka; Deborah Harper
Journal:  Am J Public Health       Date:  2006-07-27       Impact factor: 9.308

Review 5.  Physical activity measurement--a primer for health promotion.

Authors:  Adrian Bauman; Philayrath Phongsavan; Stephanie Schoeppe; Neville Owen
Journal:  Promot Educ       Date:  2006

6.  The assessment of physical activity in individuals and populations: why try to be more precise about how physical activity is assessed?

Authors:  N J Wareham; K L Rennie
Journal:  Int J Obes Relat Metab Disord       Date:  1998-08

7.  Validating fourth-grade students' self-report of dietary intake: results from the 5 A Day Power Plus program.

Authors:  L A Lytle; D M Murray; C L Perry; A L Eldridge
Journal:  J Am Diet Assoc       Date:  1998-05

8.  Impact of gender, ethnicity, meal component, and time interval between eating and reporting on accuracy of fourth-graders' self-reports of school lunch.

Authors:  S D Baxter; W O Thompson; H C Davis; M H Johnson
Journal:  J Am Diet Assoc       Date:  1997-11

9.  Reliability and validity of the Past Year Total Physical Activity Questionnaire.

Authors:  Christine M Friedenreich; Kerry S Courneya; Heather K Neilson; Charles E Matthews; Gordon Willis; Melinda Irwin; Richard Troiano; Rachel Ballard-Barbash
Journal:  Am J Epidemiol       Date:  2006-03-08       Impact factor: 4.897

10.  Self-efficacy and health behaviors toward the prevention of diabetes among high risk individuals living in Appalachia.

Authors:  Elena Serrano; Jennifer Leiferman; Sarah Dauber
Journal:  J Community Health       Date:  2007-04
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