ArticleEuropean journal of epidemiology2009
Measures of physical activity and their correlates: the Swedish National March Cohort.
Article in European journal of epidemiology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Socioeconomic inequalities in occupational, leisure-time, and transport related physical activity among European adults: a systematic review.The international journal of behavioral nutrition and physical activity · 2012Pooled it
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- Skeletal muscle mitochondrial impairment in patients with newly diagnosed multiple sclerosis revealed by ¹H/³¹P magnetic resonance spectroscopy.Scientific reports · 2026Observational
- Dietary non-enzymatic antioxidant capacity and risk of breast cancer: the Swedish National March Cohort.BMC cancer · 2025Article
- Ideal cardiovascular health and risk of death in a large Swedish cohort.BMC public health · 2024Article
- Dietary antioxidants, non-enzymatic antioxidant capacity and the risk of osteoarthritis in the Swedish National March Cohort.European journal of nutrition · 2021Article
- Lipoprotein profiling in early multiple sclerosis patients: effect of chronic inflammation?Lipids in health and disease · 2020Article
- Exercise and Depressive Disorder.Advances in experimental medicine and biology · 2020Review
- Self-reported physical activity correlates in Swedish adults with multiple sclerosis: a cross-sectional study.BMC neurology · 2017Article
- Physical activity and the risk of hip fracture in the elderly: a prospective cohort study.European journal of epidemiology · 2017Article
- Sleep duration, mortality and the influence of age.European journal of epidemiology · 2017Article
- A prospective cohort study of the combined effects of physical activity and anthropometric measures on the risk of post-menopausal breast cancer.European journal of epidemiology · 2016Article
- [Physical activity in adult working population: results from the European National Health Survey for Spain (2009)].Atencion primaria · 2015Article
- Physical activity and body mass index as predictors of prostate cancer risk.World journal of urology · 2015Article
- Article
- Sleep characteristics and cardiovascular events in a large Swedish cohort.European journal of epidemiology · 2013Article
- An exploratory study of activity in veterans with Parkinson's disease.Journal of neurology · 2012Article
- Predictors of self-rated health and lifestyle behaviours in Swedish university students.Global journal of health science · 2012Article
- Sensitivity analysis for unmeasured confounding in principal stratification settings with binary variables.Statistics in medicine · 2012Article
- Active-Q: validation of the web-based physical activity questionnaire using doubly labeled water.Journal of medical Internet research · 2012Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
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