Literature DB >> 19294519

Measures of physical activity and their correlates: the Swedish National March Cohort.

Ylva Trolle Lagerros1, Rino Bellocco, Hans-Olov Adami, Olof Nyrén.   

Abstract

We compared the results of self-estimates of physical activity obtained with a novel instrument (the Energy Expenditure Questionnaire, EEQ) to those obtained from questions typically asked in epidemiological investigations (reference method) in a cohort of 42,150 Swedish men and women, aged 18-94. In the EEQ, participants were asked to report total physical activity by estimating the total time during a typical day and night spent on different physical activity intensity levels from the lowest (corresponding to lying in bed, 0.9 Metabolic Energy Turnover; MET) to the highest, (exceeding the intensity of to shovelling snow by hand, i.e., >6 MET). As a comparison, they also estimated hours per week devoted to household chores, commuting and leisure time physical activities classified as; light, moderate and heavy. The average physical activity estimated with the EEQ was 1.36 MET or 32.6 METh/day or 2,341 kcal/day. In comparison, physical activity estimated with the reference method represented no more than 17% of this amount. The Spearman's correlation coefficient between the two measures was 0.26. Using EEQ, men reported significantly more physical activity than women (mean = 36.3 vs. 30.6 METh/day). Body mass index (BMI) > or = 25, education > or = 12 years, and age > or = 60 years were significantly associated with lower physical activity. Questions focusing on leisure time exercise and a few other selected activities provide estimates of activity that correlate poorly with self-reported total energy output from all physical activity and inactivity. Investigators need to be more explicit about which component of activity they investigate.

Entities:  

Mesh:

Year:  2009        PMID: 19294519     DOI: 10.1007/s10654-009-9327-x

Source DB:  PubMed          Journal:  Eur J Epidemiol        ISSN: 0393-2990            Impact factor:   8.082


  37 in total

Review 1.  Physical activity and breast cancer: a systematic review.

Authors:  Evelyn M Monninkhof; Sjoerd G Elias; Femke A Vlems; Ingeborg van der Tweel; A Jantine Schuit; Dorien W Voskuil; Flora E van Leeuwen
Journal:  Epidemiology       Date:  2007-01       Impact factor: 4.822

2.  The impact of excluding non-leisure energy expenditure on the relation between physical activity and mortality in women.

Authors:  I Weller; P Corey
Journal:  Epidemiology       Date:  1998-11       Impact factor: 4.822

3.  Relative validity and repeatability of a new questionnaire on physical activity.

Authors:  M A Pols; P H Peeters; M C Ocké; H B Bueno-de-Mesquita; N Slimani; H C Kemper; H J Collette
Journal:  Prev Med       Date:  1997 Jan-Feb       Impact factor: 4.018

4.  A simple method to assess exercise behavior in the community.

Authors:  G Godin; R J Shephard
Journal:  Can J Appl Sport Sci       Date:  1985-09

5.  Exercise type and intensity in relation to coronary heart disease in men.

Authors:  Mihaela Tanasescu; Michael F Leitzmann; Eric B Rimm; Walter C Willett; Meir J Stampfer; Frank B Hu
Journal:  JAMA       Date:  2002 Oct 23-30       Impact factor: 56.272

Review 6.  Physical activity and diabetes prevention.

Authors:  Michael J LaMonte; Steven N Blair; Timothy S Church
Journal:  J Appl Physiol (1985)       Date:  2005-09

7.  Recreational physical activity and the risk of breast cancer in postmenopausal women: the Women's Health Initiative Cohort Study.

Authors:  Anne McTiernan; Charles Kooperberg; Emily White; Sara Wilcox; Ralph Coates; Lucile L Adams-Campbell; Nancy Woods; Judith Ockene
Journal:  JAMA       Date:  2003-09-10       Impact factor: 56.272

8.  Physical activity assessment using a pedometer and its comparison with a questionnaire in a large population survey.

Authors:  M M Sequeira; M Rickenbach; V Wietlisbach; B Tullen; Y Schutz
Journal:  Am J Epidemiol       Date:  1995-11-01       Impact factor: 4.897

9.  Validity and reliability of self-reported physical activity status: the Lipid Research Clinics questionnaire.

Authors:  B E Ainsworth; D R Jacobs; A S Leon
Journal:  Med Sci Sports Exerc       Date:  1993-01       Impact factor: 5.411

Review 10.  Assessment of physical activity and energy expenditure in epidemiological research of chronic diseases.

Authors:  Ylva Trolle Lagerros; Pagona Lagiou
Journal:  Eur J Epidemiol       Date:  2007-06-29       Impact factor: 12.434

View more
  18 in total

1.  The Shanghai Changfeng Study: a community-based prospective cohort study of chronic diseases among middle-aged and elderly: objectives and design.

Authors:  Xin Gao; Albert Hofman; Yu Hu; Huandong Lin; Chouwen Zhu; Johannes Jeekel; Xuejuan Jin; Jiyao Wang; Jian Gao; Yiqing Yin; Naiqing Zhao
Journal:  Eur J Epidemiol       Date:  2010-12-01       Impact factor: 8.082

2.  An exploratory study of activity in veterans with Parkinson's disease.

Authors:  Marilyn Trail; Nancy J Petersen; Naomi Nelson; Eugene C Lai
Journal:  J Neurol       Date:  2012-08       Impact factor: 4.849

3.  Physical activity and body mass index as predictors of prostate cancer risk.

Authors:  Alessandra Grotta; Matteo Bottai; Hans-Olov Adami; Swann Arp Adams; Olof Akre; Steven Noel Blair; Daniela Mariosa; Olof Nyrén; Weimin Ye; Pär Stattin; Rino Bellocco; Ylva Trolle Lagerros
Journal:  World J Urol       Date:  2015-01-04       Impact factor: 4.226

4.  Sensitivity analysis for unmeasured confounding in principal stratification settings with binary variables.

Authors:  Scott Schwartz; Fan Li; Jerome P Reiter
Journal:  Stat Med       Date:  2012-02-24       Impact factor: 2.373

5.  Effects of physical activity, body mass index, waist-to-hip ratio and waist circumference on total mortality risk in the Swedish National March Cohort.

Authors:  Rino Bellocco; Chongqi Jia; Weimin Ye; Ylva Trolle Lagerros
Journal:  Eur J Epidemiol       Date:  2010-08-22       Impact factor: 8.082

6.  A prospective cohort study of the combined effects of physical activity and anthropometric measures on the risk of post-menopausal breast cancer.

Authors:  Rino Bellocco; Gaetano Marrone; Weimin Ye; Olof Nyrén; Hans-Olov Adami; Daniela Mariosa; Ylva Trolle Lagerros
Journal:  Eur J Epidemiol       Date:  2015-07-01       Impact factor: 8.082

7.  Insufficient Sleep and Risk of Prostate Cancer in a Large Swedish Cohort.

Authors:  Sarah C Markt; Alessandra Grotta; Olof Nyren; Hans-Olov Adami; Lorelei A Mucci; Unnur A Valdimarsdottir; Pär Stattin; Rino Bellocco; Ylva Trolle Lagerros
Journal:  Sleep       Date:  2015-09-01       Impact factor: 5.849

8.  Dietary antioxidants, non-enzymatic antioxidant capacity and the risk of osteoarthritis in the Swedish National March Cohort.

Authors:  Loïs Veen; Essi Hantikainen; Rino Bellocco; Weimin Ye; Mauro Serafini; Marta Ponzano; Alessandra Grotta; Ylva Trolle Lagerros
Journal:  Eur J Nutr       Date:  2020-04-02       Impact factor: 5.614

9.  Sleep characteristics and cardiovascular events in a large Swedish cohort.

Authors:  Anna Westerlund; Rino Bellocco; Johan Sundström; Hans-Olov Adami; Torbjörn Åkerstedt; Ylva Trolle Lagerros
Journal:  Eur J Epidemiol       Date:  2013-04-04       Impact factor: 8.082

Review 10.  Socioeconomic inequalities in occupational, leisure-time, and transport related physical activity among European adults: a systematic review.

Authors:  Marielle A Beenackers; Carlijn B M Kamphuis; Katrina Giskes; Johannes Brug; Anton E Kunst; Alex Burdorf; Frank J van Lenthe
Journal:  Int J Behav Nutr Phys Act       Date:  2012-09-19       Impact factor: 6.457

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.