Literature DB >> 21858689

Physical activity among Amish and non-Amish adults living in Ohio Appalachia.

Mira L Katz1, Amy K Ferketich, Benjamin Broder-Oldach, Amy Harley, Paul L Reiter, Electra D Paskett, Clara D Bloomfield.   

Abstract

To understand the behavioral lifestyle factors that may contribute to lower cancer incidence rates among the Amish population, this study evaluated differences in physical activity (PA) levels between Amish and non-Amish adults living in Ohio Appalachia. Amish (n = 134) and non-Amish (n = 154) adults completed face-to-face interviews as part of a cancer-related lifestyle study. Self-report of PA level was measured by the International Physical Activity Questionnaire (IPAQ) and by a diary of steps/day (pedometer: Digi-Walker SW-200). Total metabolic equivalent tasks (MET) minutes was calculated from the IPAQ and average number of steps/day from a pedometer diary. Amish males walked more steps/day (mean ± standard error (SE): 11,447 ± 611 vs. 7,605 ± 643; P < 0.001) and had a higher IPAQ score (MET min/week) (mean ± SE: 8,354 ± 701 vs. 5,547 ± 690; P < 0.01) than non-Amish males. In addition, Amish farmers walked significantly more steps/day than Amish non-farmers (mean ± SE: 15,278 ± 1,297 vs. 10,742 ± 671; P < 0.01). There was a trend for Amish females to walk more steps/day (mean ± SE: 7,750 ± 477 vs. 6,547 ± 437; P = 0.06) and to have higher IPAQ scores (mean ± SE: 4,966 ± 503 vs. 3,702 ± 450; P = 0.06) compared to non-Amish females. Two measures of PA demonstrated a higher PA level among Amish males, especially farmers, and a trend for higher PA level among Amish females. Higher levels of PA warrants further investigation as one factor potentially contributing to lower cancer incidence rates documented among the Amish.

Entities:  

Mesh:

Year:  2012        PMID: 21858689      PMCID: PMC3625537          DOI: 10.1007/s10900-011-9460-9

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


  20 in total

1.  Compendium of physical activities: an update of activity codes and MET intensities.

Authors:  B E Ainsworth; W L Haskell; M C Whitt; M L Irwin; A M Swartz; S J Strath; W L O'Brien; D R Bassett; K H Schmitz; P O Emplaincourt; D R Jacobs; A S Leon
Journal:  Med Sci Sports Exerc       Date:  2000-09       Impact factor: 5.411

2.  International physical activity questionnaire: 12-country reliability and validity.

Authors:  Cora L Craig; Alison L Marshall; Michael Sjöström; Adrian E Bauman; Michael L Booth; Barbara E Ainsworth; Michael Pratt; Ulf Ekelund; Agneta Yngve; James F Sallis; Pekka Oja
Journal:  Med Sci Sports Exerc       Date:  2003-08       Impact factor: 5.411

3.  Obesity and physical inactivity in rural America.

Authors:  Paul Daniel Patterson; Charity G Moore; Janice C Probst; Judith Ann Shinogle
Journal:  J Rural Health       Date:  2004       Impact factor: 4.333

4.  Nonoccupational physical activity by degree of urbanization and U.S. geographic region.

Authors:  Jared P Reis; Heather R Bowles; Barbara E Ainsworth; Katrina D Dubose; Sharon Smith; James N Laditka
Journal:  Med Sci Sports Exerc       Date:  2004-12       Impact factor: 5.411

5.  Race/ethnicity, social class and their relation to physical inactivity during leisure time: results from the Third National Health and Nutrition Examination Survey, 1988-1994.

Authors:  C J Crespo; E Smit; R E Andersen; O Carter-Pokras; B E Ainsworth
Journal:  Am J Prev Med       Date:  2000-01       Impact factor: 5.043

6.  Determinants of leisure time physical activity in rural compared with urban older and ethnically diverse women in the United States.

Authors:  S Wilcox; C Castro; A C King; R Housemann; R C Brownson
Journal:  J Epidemiol Community Health       Date:  2000-09       Impact factor: 3.710

7.  A multilevel analysis of race, community disadvantage, and body mass index among adults in the US.

Authors:  Stephanie A Robert; Eric N Reither
Journal:  Soc Sci Med       Date:  2004-12       Impact factor: 4.634

Review 8.  Physical activity and cancer prevention--data from epidemiologic studies.

Authors:  I-Min Lee
Journal:  Med Sci Sports Exerc       Date:  2003-11       Impact factor: 5.411

9.  Physical activity in an Old Order Amish community.

Authors:  David R Bassett; Patrick L Schneider; Gertrude E Huntington
Journal:  Med Sci Sports Exerc       Date:  2004-01       Impact factor: 5.411

10.  Behavioral risk factors in an Amish community.

Authors:  R M Levinson; J A Fuchs; R R Stoddard; D H Jones; M Mullet
Journal:  Am J Prev Med       Date:  1989 May-Jun       Impact factor: 5.043

View more
  4 in total

1.  Self-Reported Sleep Duration and Pattern in Old Order Amish and Non-Amish Adults.

Authors:  Man Zhang; Kathleen A Ryan; Emerson Wickwire; Teodor T Postolache; Huichun Xu; Melanie Daue; Soren Snitker; Toni I Pollin; Alan R Shuldiner; Braxton D Mitchell
Journal:  J Clin Sleep Med       Date:  2019-09-15       Impact factor: 4.062

2.  Increased usual physical activity is associated with a blunting of the triglyceride response to a high-fat meal.

Authors:  Braxton D Mitchell; Gurmannat Kalra; Kathleen A Ryan; Man Zhang; Carole Sztalryd; Nanette I Steinle; Simeon I Taylor; Soren Snitker; Joshua P Lewis; Michael Miller; Alan R Shuldiner; Huichun Xu
Journal:  J Clin Lipidol       Date:  2018-11-20       Impact factor: 4.766

3.  Causes and consequences of obesity: epigenetics or hypokinesis?

Authors:  Michael R Graham; Julien S Baker; Bruce Davies
Journal:  Diabetes Metab Syndr Obes       Date:  2015-09-16       Impact factor: 3.168

4.  The GGLEAM Study: Understanding Glaucoma in the Ohio Amish.

Authors:  Andrea R Waksmunski; Yeunjoo E Song; Tyler G Kinzy; Reneé A Laux; Jane Sewell; Denise Fuzzell; Sarada Fuzzell; Sherri Miller; Janey L Wiggs; Louis R Pasquale; Jonathan M Skarie; Jonathan L Haines; Jessica N Cooke Bailey
Journal:  Int J Environ Res Public Health       Date:  2021-02-06       Impact factor: 3.390

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.