ArticlePloS one2014
The improved physical activity index for measuring physical activity in EPIC Germany.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03216161 (Sub-study for the Validation and Calibration of Data Regarding Physical Activity, Anthropometry and Diet), which is not on this map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Sub-study for the Validation and Calibration of Data Regarding Physical Activity, Anthropometry and Diet
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Behavioral Therapy-Based Digital Interventions for Treating Osteoarthritis: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- Association between omentin-1, adiponectin and bone health under consideration of osteoprotegerin as possible mediator.Journal of endocrinological investigation · 2016Trial
- Identification of novel genes whose expression in adipose tissue affects body fat mass and distribution: an RNA-Seq and Mendelian Randomization study.European journal of human genetics : EJHG · 2024Article
- Cardiovascular (Framingham) and type II diabetes (Finnish Diabetes) risk scores: a qualitative study of local knowledge of diet, physical activity and body measurements in rural Rakai, Uganda.BMC public health · 2022Article
- Traditional risk factors for essential hypertension: analysis of their specific combinations in the EPIC-Potsdam cohort.Scientific reports · 2019Article
- Association of Smoking-Related Knowledge, Attitude, and Practices (KAP) with Nutritional Status and Diet Quality: A Cross-Sectional Study in China.BioMed research international · 2019Article
- The accumulation of deficits approach to describe frailty.PloS one · 2019Article
- The NutriAct Family Study: a web-based prospective study on the epidemiological, psychological and sociological basis of food choice.BMC public health · 2018Article
- The cross-sectional association between chemerin and bone health in peri/pre and postmenopausal women: results from the EPIC-Potsdam study.Menopause (New York, N.Y.) · 2018Article
- Breakfast quality and cardiometabolic risk profiles in an upper middle-aged German population.European journal of clinical nutrition · 2017Article
- The influence of adjustment for energy misreporting on relations of cake and cookie intake with cardiometabolic disease risk factors.European journal of clinical nutrition · 2016Article
- Physical Activity, Bone Health, and Obesity in Peri-/Pre- and Postmenopausal Women: Results from the EPIC-Potsdam Study.Calcified tissue international · 2015Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the European Investigation into Cancer and Nutrition study (EPIC), physical activity (PA) has been indexed as a cross-tabulation between PA at work and recreational activity. As the proportion of non-working participants increases, other categorization strategies are needed. Therefore, our aim was to develop a valid PA index for this population, which will also be able to express PA continuously. In the German EPIC centers Potsdam and Heidelberg, a clustered sample of 3,766 participants was re-invited to the study center. 1,615 participants agreed to participate and 1,344 participants were finally included in this study. PA was measured by questionnaires on defined activities and a 7-day combined heart rate and acceleration sensor. In a training sample of 433 participants, the Improved Physical Activity Index (IPAI) was developed. Its performance was evaluated in a validation sample of 911 participants and compared with the Cambridge Index and the Total PA Index. The IPAI consists of items covering five areas including PA at work, sport, cycling, television viewing, and computer use. The correlations of the IPAI with accelerometer counts in the training and validation sample ranged r = 0.40-0.43 and with physical activity energy expenditure (PAEE) r = 0.33-0.40 and were higher than for the Cambridge Index and the Total PA Index previously applied in EPIC. In non-working participants the IPAI showed higher correlations than the Cambridge Index and the Total PA Index, with r = 0.34 for accelerometer counts and r = 0.29 for PAEE. In conclusion, we developed a valid physical activity index which is able to express PA continuously as well as to categorize participants according to their PA level. In populations with increasing rates of non-working people the performance of the IPAI is better than the established indices used in EPIC.
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