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Sökning: WFRF:(Hagströmer Maria)

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21.
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24.
  • Bergman, Patrick, et al. (författare)
  • Gender differences in physical activity among Swedish adults
  • 2006
  • Ingår i: American College of Sports Medicine, 53rd Annual Meeting.. - Denver, Colorado, USA. : Ovid Technologies (Wolters Kluwer Health). ; 38:5, s. S379-S379
  • Konferensbidrag (refereegranskat)
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25.
  • Bergman, Patrick, et al. (författare)
  • How long is a day?
  • 2008
  • Ingår i: International Conference on Physical Activity and Health. - Amsterdam.
  • Konferensbidrag (refereegranskat)
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27.
  • Bergman, Patrick, et al. (författare)
  • No one accelerometer-based physical activity data collection protocol can fit all research questions.
  • 2020
  • Ingår i: BMC Medical Research Methodology. - : BioMed Central (BMC). - 1471-2288. ; 20:1, s. 1-8
  • Tidskriftsartikel (refereegranskat)abstract
    • BACKGROUND: Measuring physical activity and sedentary behavior accurately remains a challenge. When describing the uncertainty of mean values or when making group comparisons, minimising Standard Error of the Mean (SEM) is important. The sample size and the number of repeated observations within each subject influence the size of the SEM. In this study we have investigated how different combinations of sample sizes and repeated observations influence the magnitude of the SEM.METHODS: A convenience sample were asked to wear an accelerometer for 28 consecutive days. Based on the within and between subject variances the SEM for the different combinations of sample sizes and number of monitored days was calculated.RESULTS: Fifty subjects (67% women, mean ± SD age 41 ± 19 years) were included. The analyses showed, independent of which intensity level of physical activity or how measurement protocol was designed, that the largest reductions in SEM was seen as the sample size were increased. The same magnitude in reductions to SEM was not seen for increasing the number of repeated measurement days within each subject.CONCLUSION: The most effective way of reducing the SEM is to have a large sample size rather than a long observation period within each individual. Even though the importance of reducing the SEM to increase the power of detecting differences between groups is well-known it is seldom considered when developing appropriate protocols for accelerometer based research. Therefore the results presented herein serves to highlight this fact and have the potential to stimulate debate and challenge current best practice recommendations of accelerometer based physical activity research.
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28.
  • Bergman, Patrick, et al. (författare)
  • Närmiljö och fysisk aktivitet
  • 2006
  • Ingår i: Svensk Idrottsmedicinsk Tidskrift. ; :2, s. 36-37
  • Tidskriftsartikel (populärvet., debatt m.m.)
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29.
  • Bergman, Patrick, et al. (författare)
  • The association between health enhancing physical activity and neighbourhood environment among Swedish adults a population-based cross-sectional study
  • 2009
  • Ingår i: International Journal of Behavioral Nutrition and Physical Activity. - : Springer Science and Business Media LLC. - 1479-5868. ; 6, s. Article ID: 8-
  • Tidskriftsartikel (refereegranskat)abstract
    • BackgroundThis study examines the relationship of neighbourhood environment factors with walking and total health enhancing physical activity.MethodsA population-based cross-sectional study. The short self-administered version of the validated International Physical Activity Questionnaire (IPAQ) was used to assess health enhancing physical activity including walking. The neighbourhood environment was assessed using a 17-item environmental module. A principal component analysis among the environmental variables was conducted. The factor scores were divided into tertiles and independent associations between factor tertiles and physical activity categories and walking were studied by multinomial logistic regression with adjustment for confounders.ResultsIn adjusted models, a lower odds ratio (OR) for reaching the middle, OR: 0.66 (95% Confidence Interval (CI): 0.47–0.98), and upper, OR: 0.65 (0.45–0.95), tertile of walking was observed among those in the lowest tertile of the degree of urbanisation. A higher OR for reaching the middle, OR: 1.84 (1.28–1.64), and upper tertile, OR: 1.64 (1.14–2.36), of walking was observed among those in the lowest tertile of fear of crime. A higher OR for reaching the high category of total health enhancing physical activity was observed among those in the lowest, OR: 2.01 (1.32–3.05), and middle tertile, OR: 1.52 (1.02–2.25), of the factor degree of urbanisation.ConclusionThe findings suggest that the environment is differentially related to walking and total health enhancing physical activity. This should be explored in future research to disentangle the complex relationship between different levels and aspects of physical activity and their relationship with the environment.
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