1
|
Weber A, van Hees VT, Stein MJ, Gastell S, Steindorf K, Herbolsheimer F, Ostrzinski S, Pischon T, Brandes M, Krist L, Marschollek M, Greiser KH, Nimptsch K, Brandes B, Jochem C, Sedlmeier AM, Berger K, Brenner H, Buck C, Castell S, Dörr M, Emmel C, Fischer B, Flexeder C, Harth V, Hebestreit A, Heise JK, Holleczek B, Keil T, Koch-Gallenkamp L, Lieb W, Meinke-Franze C, Michels KB, Mikolajczyk R, Kluttig A, Obi N, Peters A, Schmidt B, Schipf S, Schulze MB, Teismann H, Waniek S, Willich SN, Leitzmann MF, Baurecht H. Large-scale assessment of physical activity in a population using high-resolution hip-worn accelerometry: the German National Cohort (NAKO). Sci Rep 2024; 14:7927. [PMID: 38575636 PMCID: PMC10995156 DOI: 10.1038/s41598-024-58461-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 03/29/2024] [Indexed: 04/06/2024] Open
Abstract
Large population-based cohort studies utilizing device-based measures of physical activity are crucial to close important research gaps regarding the potential protective effects of physical activity on chronic diseases. The present study details the quality control processes and the derivation of physical activity metrics from 100 Hz accelerometer data collected in the German National Cohort (NAKO). During the 2014 to 2019 baseline assessment, a subsample of NAKO participants wore a triaxial ActiGraph accelerometer on their right hip for seven consecutive days. Auto-calibration, signal feature calculations including Euclidean Norm Minus One (ENMO) and Mean Amplitude Deviation (MAD), identification of non-wear time, and imputation, were conducted using the R package GGIR version 2.10-3. A total of 73,334 participants contributed data for accelerometry analysis, of whom 63,236 provided valid data. The average ENMO was 11.7 ± 3.7 mg (milli gravitational acceleration) and the average MAD was 19.9 ± 6.1 mg. Notably, acceleration summary metrics were higher in men than women and diminished with increasing age. Work generated in the present study will facilitate harmonized analysis, reproducibility, and utilization of NAKO accelerometry data. The NAKO accelerometry dataset represents a valuable asset for physical activity research and will be accessible through a specified application process.
Collapse
Affiliation(s)
- Andrea Weber
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany.
| | | | - Michael J Stein
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany
| | - Sylvia Gastell
- NAKO Study Center, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Karen Steindorf
- Division of Physical Activity, Prevention and Cancer, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120, Heidelberg, Germany
| | - Florian Herbolsheimer
- Division of Physical Activity, Prevention and Cancer, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120, Heidelberg, Germany
| | - Stefan Ostrzinski
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Tobias Pischon
- Molecular Epidemiology Research Group, Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Mirko Brandes
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
| | - Lilian Krist
- Institute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Charitéplatz 1, 10098, Berlin, Germany
| | - Michael Marschollek
- Hannover Medical School, Peter L. Reichertz Institute for Medical Informatics, Carl-Neuberg-Strasse 1, 30625, Hannover, Germany
| | - Karin Halina Greiser
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120, Heidelberg, Germany
| | - Katharina Nimptsch
- Molecular Epidemiology Research Group, Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Berit Brandes
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
| | - Carmen Jochem
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany
| | - Anja M Sedlmeier
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany
| | - Klaus Berger
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Christoph Buck
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
| | - Stefanie Castell
- Department for Epidemiology, Helmholtz Centre for Infection Research (HZI), Brunswick, Germany
| | - Marcus Dörr
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany
| | - Carina Emmel
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Beate Fischer
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany
| | - Claudia Flexeder
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Volker Harth
- Institute for Occupational and Maritime Medicine Hamburg (ZfAM), University Medical Center Hamburg-Eppendorf (UKE), Seewartenstraße 10, 20459, Hamburg, Germany
| | - Antje Hebestreit
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
| | - Jana-Kristin Heise
- Department for Epidemiology, Helmholtz Centre for Infection Research (HZI), Brunswick, Germany
| | | | - Thomas Keil
- Institute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Charitéplatz 1, 10098, Berlin, Germany
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany
- State Institute of Health I, Bavarian Health and Food Safety Authority, Erlangen, Germany
| | - Lena Koch-Gallenkamp
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Wolfgang Lieb
- Institute of Epidemiology, Kiel University, Kiel, Germany
| | - Claudia Meinke-Franze
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Karin B Michels
- Institute for Prevention and Cancer Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Rafael Mikolajczyk
- Institute for Medical Epidemiology, Biometrics, and Informatics, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Alexander Kluttig
- Institute for Medical Epidemiology, Biometrics, and Informatics, Medical Faculty of the Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Nadia Obi
- Institute for Occupational and Maritime Medicine Hamburg (ZfAM), University Medical Center Hamburg-Eppendorf (UKE), Seewartenstraße 10, 20459, Hamburg, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Chair of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Börge Schmidt
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Sabine Schipf
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Henning Teismann
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Sabina Waniek
- Institute of Epidemiology, Kiel University, Kiel, Germany
| | - Stefan N Willich
- Institute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Charitéplatz 1, 10098, Berlin, Germany
| | - Michael F Leitzmann
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany
| | - Hansjörg Baurecht
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany
| |
Collapse
|
2
|
Herbolsheimer F, Peters A, Wagner S, Willich SN, Krist L, Pischon T, Nimptsch K, Gastell S, Brandes M, Brandes B, Schikowski T, Schmidt B, Michels KB, Mikolajczyk R, Harth V, Obi N, Castell S, Heise JK, Lieb W, Franzpötter K, Karch A, Teismann H, Völzke H, Meinke-Franze C, Leitzmann M, Stein MJ, Brenner H, Holleczek B, Weber A, Bohn B, Kluttig A, Steindorf K. Changes in physical activity and sedentary behavior during the first COVID-19 pandemic- restrictions in Germany: a nationwide survey : Running head: physical activity during the COVID-19 restrictions. BMC Public Health 2024; 24:433. [PMID: 38347566 PMCID: PMC10860251 DOI: 10.1186/s12889-024-17675-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 01/04/2024] [Indexed: 02/15/2024] Open
Abstract
BACKGROUND The COVID-19 pandemic restrictions posed challenges to maintaining healthy lifestyles and physical well-being. During the first mobility restrictions from March to mid-July 2020, the German population was advised to stay home, except for work, exercise, and essential shopping. Our objective was to comprehensively assess the impact of these restrictions on changes in physical activity and sedentary behavior to identify the most affected groups. METHODS Between April 30, 2020, and May 12, 2020, we distributed a COVID-19-specific questionnaire to participants of the German National Cohort (NAKO). This questionnaire gathered information about participants' physical activity and sedentary behavior currently compared to the time before the restrictions. We integrated this new data with existing information on anxiety, depressive symptoms, and physical activity. The analyses focused on sociodemographic factors, social relationships, physical health, and working conditions. RESULTS Out of 152,421 respondents, a significant proportion reported altered physical activity and sedentary behavioral patterns due to COVID-19 restrictions. Over a third of the participants initially meeting the WHO's physical activity recommendation could no longer meet the guidelines during the restrictions. Participants reported substantial declines in sports activities (mean change (M) = -0.38; 95% CI: -.390; -.378; range from -2 to + 2) and reduced active transportation (M = -0.12; 95% CI: -.126; -.117). However, they also increased recreational physical activities (M = 0.12; 95% CI: .117; .126) while engaging in more sedentary behavior (M = 0.24; 95% CI: .240; .247) compared to pre-restriction levels. Multivariable linear and log-binomial regression models indicated that younger adults were more affected by the restrictions than older adults. The shift to remote work, self-rated health, and depressive symptoms were the factors most strongly associated with changes in all physical activity domains, including sedentary behavior, and the likelihood to continue following the physical activity guidelines. CONCLUSIONS Mobility patterns shifted towards inactivity or low-intensity activities during the nationwide restrictions in the spring of 2020, potentially leading to considerable and lasting health risks.
Collapse
Affiliation(s)
- Florian Herbolsheimer
- Division of Physical Activity, Prevention and Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany.
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Sarah Wagner
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Stefan N Willich
- Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Lilian Krist
- Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Tobias Pischon
- Molecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Katharina Nimptsch
- Molecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Sylvia Gastell
- German Institute of Human Nutrition Potsdam Rehbruecke, Nuthetal, Germany
| | - Mirko Brandes
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
| | - Berit Brandes
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
| | - Tamara Schikowski
- IUF - Leibniz Research Institute for Environmental Medicine, Duesseldorf, Germany
| | - Börge Schmidt
- Institute for Medical Informatics, Biometry and Epidemiology, Essen University Hospital, Essen, Germany
| | - Karin B Michels
- Institute for Prevention and Cancer Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Rafael Mikolajczyk
- Institute for Medical Epidemiology, Biometrics, and Informatics, Interdisciplinary Center for Health Sciences , Medical Faculty of the Martin-Luther University Halle-Wittenberg, Halle, Germany
| | - Volker Harth
- Institute for Occupational and Maritime Medicine Hamburg (ZfAM), University Medical Centre Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - Nadia Obi
- Institute for Occupational and Maritime Medicine Hamburg (ZfAM), University Medical Centre Hamburg-Eppendorf (UKE), Hamburg, Germany
| | | | - Jana K Heise
- Helmholtz Centre for Infection Research, Brunswick, Germany
| | - Wolfgang Lieb
- Institute of Epidemiology, University of Kiel, Kiel, Germany
| | | | - André Karch
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Henning Teismann
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Claudia Meinke-Franze
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | | | | | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | | | | | - Alexander Kluttig
- Institute for Medical Epidemiology, Biometrics, and Informatics, Interdisciplinary Center for Health Sciences , Medical Faculty of the Martin-Luther University Halle-Wittenberg, Halle, Germany
| | - Karen Steindorf
- Division of Physical Activity, Prevention and Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
| |
Collapse
|
3
|
Sell L, Brandes B, Brandes M, Zeeb H, Busse H. Determinants promoting and hindering physical activity in primary school children in Germany: a qualitative study with students, teachers and parents. Front Public Health 2024; 12:1280893. [PMID: 38371239 PMCID: PMC10869510 DOI: 10.3389/fpubh.2024.1280893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Accepted: 01/19/2024] [Indexed: 02/20/2024] Open
Abstract
Background Determinants affecting children's physical activity (PA) at an early age are of particular interest to develop and strengthen strategies for increasing the levels of children's PA. A qualitative study was conducted to investigate the views of primary school-aged children, their teachers and parents regarding barriers and facilitators to engage in PA. Methods Focus groups were conducted separately with primary school children, parents and teachers in a city in Northern Germany between October 2021 and January 2022. The semi- structured focus groups with children and teachers took part in person within school, whereas the focus groups with parents took place online. Data were transcribed verbatim and analysed using thematic analysis. During analysis, the socio-ecological model was identified as useful to map the determinants mentioned and was consequently applied to organize the data. Results Teachers (n = 10), parents (n = 18) and children (n = 46) of five primary schools in Germany participated in the focus groups. Participants of the three groups identified similar barriers and facilitators of PA in primary school-aged children, ranging across all four layers of the socio-ecological model. The barriers encountered were the preferences of children for sedentary activities (individual characteristics), the preference of parents to control their child's actions (microsystem), a lack of financial resources from parents and long sitting times in class (mesosystem), and barriers related to rainy weather and Covid-19 restrictions (exosystem). Facilitators mentioned were the childrens' natural tendency to be active (individual characteristics), involvement and co-participation of parents or peers in engaging in PA, support provided by teachers and the school (microsystem), living in rural areas, having sufficient facilities and favorable weather conditions (exosystem). Conclusion A range of determinants promoting and hindering PA, ranging across all layers of the socio-ecological model were identified by children, parents and teachers in this study. These determinants need to be kept in mind when developing effective PA intervention programs for primary school-aged children. Future interventions should go beyond individual characteristics to also acknowledge the influence of childrens' social surrounding, including parents, peers and teachers, and the wider (school) environment.
Collapse
Affiliation(s)
- Louisa Sell
- Department of Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology, BIPS GmbH, Bremen, Germany
- Institute for Public Health and Nursing- IPP, Bremen University, Bremen, Germany
| | - Berit Brandes
- Department of Epidemiological Methods and Etiological Research, Leibniz Institute for Prevention Research and Epidemiology, BIPS GmbH, Bremen, Germany
| | - Mirko Brandes
- Department of Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology, BIPS GmbH, Bremen, Germany
| | - Hajo Zeeb
- Department of Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology, BIPS GmbH, Bremen, Germany
- Health Sciences Bremen, University of Bremen, Bremen, Germany
| | - Heide Busse
- Department of Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology, BIPS GmbH, Bremen, Germany
| |
Collapse
|
4
|
Klinger-König J, Erhardt A, Streit F, Völker MP, Schulze MB, Keil T, Fricke J, Castell S, Klett-Tammen CJ, Pischon T, Karch A, Teismann H, Michels KB, Greiser KH, Becher H, Karrasch S, Ahrens W, Meinke-Franze C, Schipf S, Mikolajczyk R, Führer A, Brandes B, Schmidt B, Emmel C, Leitzmann M, Konzok J, Peters A, Obi N, Brenner H, Holleczek B, Moreno Velásquez I, Deckert J, Baune BT, Rietschel M, Berger K, Grabe HJ. Childhood Trauma and Somatic and Mental Illness in Adulthood. Dtsch Arztebl Int 2024; 121:1-8. [PMID: 37876295 PMCID: PMC10916765 DOI: 10.3238/arztebl.m2023.0225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 10/10/2023] [Accepted: 10/10/2023] [Indexed: 10/26/2023]
Abstract
BACKGROUND Childhood trauma is associated with somatic and mental illness in adulthood. The strength of the association varies as a function of age, sex, and type of trauma. Pertinent studies to date have mainly focused on individual diseases. In this study, we investigate the association between childhood trauma and a multiplicity of somatic and mental illnesses in adulthood. METHODS Data from 156 807 NAKO Health Study participants were analyzed by means of logistic regressions, with adjustment for age, sex, years of education, and study site. The Childhood Trauma Screener differentiated between no/minor (n = 115 891) and moderate/severe childhood trauma (n = 40 916). The outcome variables were medical diagnoses of five somatic and two mental health conditions as stated in the clinical history. RESULTS Persons with childhood trauma were more likely to bear a diagnosis of all of the studied conditions: cancer (odds ratio [OR] = 1.10; 95% confidence interval: [1.05; 1.15]), myocardial infarction (OR = 1.13 [1.03; 1.24]), diabetes (OR = 1.16, [1.10; 1.23]), stroke (OR = 1.35 [1.23; 1.48]), chronic obstructive pulmonary disease (OR = 1.45 [1.38; 1.52]), depression (OR = 2.36 [2.29; 2.43]), and anxiety disorders (OR = 2.08 [2.00; 2.17]). All of these associations were stronger in younger persons, regardless of the nature of childhood trauma. Differences between the sexes were observed only for some of these associations. CONCLUSION Childhood trauma was associated with a higher probability of developing mental as well as somatic illness in adulthood. As childhood trauma is an element of individual history that the victim has little to no control over, and because the illnesses that can arise in adulthood in association with it are a heavy burden on the affected persons and on society, there is a need for research on these associations and for the development of preventive measures.
Collapse
Affiliation(s)
- Johanna Klinger-König
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Angelika Erhardt
- Department of Psychiatry, Psychosomatics and Psychotherapy, University Hospital Würzburg, Würzburg, Germany
- Max Planck Institute of Psychiatry, Munich, Germany
| | - Fabian Streit
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Maja P. Völker
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Matthias B. Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke (DIfE), Nuthetal, Germany
- Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Thomas Keil
- Institute of Social Medicine, Epidemiology and Health Economics, Charité – Universitätsmedizin Berlin, Berlin, Germany
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany
- State Institute of Health I, Bavarian State Office for Health and Food Safety, Erlangen, Germany
| | - Julia Fricke
- Institute of Social Medicine, Epidemiology and Health Economics, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Stefanie Castell
- Department of Epidemiology, Helmholtz Center for Infection Research (HZI), Braunschweig, Germany
| | - Carolina J. Klett-Tammen
- Department of Epidemiology, Helmholtz Center for Infection Research (HZI), Braunschweig, Germany
| | - Tobias Pischon
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Molecular Epidemiology Research Group, Berlin, Germany
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Biobank Technology Platform, Berlin, Germany
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - André Karch
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Henning Teismann
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Karin B. Michels
- Institute for Prevention and Tumor Epidemiology, Medical Center—University of Freiburg, Medical Faculty, Albert Ludwigs University of Freiburg, Freiburg, Germany
| | - K. Halina Greiser
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Heiko Becher
- Heidelberg Institute of Global Health (HIGH), Heidelberg University Hospital, Heidelberg, Germany
| | - Stefan Karrasch
- Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, LMU University Hospital, LMU Munich; Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Wolfgang Ahrens
- Leibniz Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany
| | - Claudia Meinke-Franze
- Institute of Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Sabine Schipf
- Institute of Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Rafael Mikolajczyk
- IInstitute of Medical Epidemiology, Biometry and Informatics, Profile Center Health Sciences, Medical School, Martin Luther University Halle-Wittenberg, Halle, Germany
- German Center for Mental Health (DZPG), Jena-Magdeburg-Halle Site, Halle, Germany
- Center for Intervention and Research on adaptive and maladaptive brain Circuits underlying mental health (C-I-R-C), Jena-Magdeburg-Halle, Halle, Germany
| | - Amand Führer
- IInstitute of Medical Epidemiology, Biometry and Informatics, Profile Center Health Sciences, Medical School, Martin Luther University Halle-Wittenberg, Halle, Germany
| | - Berit Brandes
- Leibniz Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany
| | - Börge Schmidt
- Institute of Medical Informatics, Biometry and Epidemiology (IMIBE), University Medicine Essen, Essen, Germany
| | - Carina Emmel
- Institute of Medical Informatics, Biometry and Epidemiology (IMIBE), University Medicine Essen, Essen, Germany
| | - Michael Leitzmann
- Institute of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Julian Konzok
- Institute of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Anette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Epidemiology, Institute for Medical Information Processing, Biometry, and Epidemiology, Medical Faculty, LMU—Ludwig-Maximilians-Universität München, Munich, Germany
- German Center for Mental Health (DZPG), Munich site, Munich, Germany
| | - Nadia Obi
- Central Institute for Occupational Medicine and Maritime Medicine (ZfAM,) University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Hermann Brenner
- Division of Preventive Oncology, German Cancer Research Center (DKFZ), Saarbrücken, Germany
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Saarbrücken, Germany
| | | | - Ilais Moreno Velásquez
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Molecular Epidemiology Research Group, Berlin, Germany
| | - Jürgen Deckert
- Department of Psychiatry, Psychosomatics and Psychotherapy, University Hospital Würzburg, Würzburg, Germany
| | - Bernhard T. Baune
- Department of Psychiatry, University Hospital Münster, Münster, Germany
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Klaus Berger
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Hans J. Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, Greifswald, Germany
| |
Collapse
|
5
|
Brandes B, Sell L, Buck C, Busse H, Zeeb H, Brandes M. Use of a toolbox of tailored evidence-based interventions to improve children's physical activity and cardiorespiratory fitness in primary schools: results of the ACTIPROS cluster-randomized feasibility trial. Int J Behav Nutr Phys Act 2023; 20:99. [PMID: 37596651 PMCID: PMC10439638 DOI: 10.1186/s12966-023-01497-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 07/23/2023] [Indexed: 08/20/2023] Open
Abstract
BACKGROUND School-based physical activity (PA) promotion is usually conducted by providing one specific intervention. In contrast, the ACTIvity PROmotion via Schools (ACTIPROS) toolbox provides a set of twelve evidence-based PA interventions serving different domains of the Health Promoting Schools framework that primary schools can select according to their requirements. In this study, we tested the feasibility of the toolbox approach in primary schools. METHODS A two-arm cluster-randomized feasibility trial at primary schools (n = 5 intervention schools [IS], n = 5 control schools) located in the Federal State of Bremen, Germany, was conducted. Children's habitual PA (GENEActiv, Activinsights Ltd.) and motor skills (Deutscher Motorik Test; DMT) were measured at the beginning (t0: Sept and Oct 2021) and at the end of the school year (t1: June and July 2022). Between Oct 2021 and July 2022, the ACTIPROS toolbox was implemented at IS. Teachers documented intervention choices and implementation within a short questionnaire (SIQ) at t1. RESULTS IS successfully implemented at least one intervention of the toolbox. In total, seven out of twelve possible interventions were selected. Two schools decided to replace an intervention with another during the trial. Results of the SIQ indicated that IS tended to choose similar interventions while implementation frequency was highly different. N = 429 students from two classes per school were recruited. The mean consent rate was 75.1% (n = 322). At t0 and t1, n = 304 (94.4%) and n = 256 (79.3%) of consented children took part in the DMT, respectively. The accelerometry sample included one class per participating school. At t0 and t1, n = 166 and n = 151 devices were handed out to students and n = 133 (80.1%) and n = 106 (70.2%) valid records could be retrieved, respectively. Linear mixed models showed an intervention effect of 15.5 min (95% CI: 4.5; 26.6) in children's daily MVPA at IS between t0 and t1 compared to controls. CONCLUSIONS All IS were able to implement at least one intervention from the toolbox, and unsuitable interventions were successfully replaced in a timely manner, highlighting the feasibility of implementing the ACTIPROS toolbox. Good consent rates for accelerometer and motor skills data were achieved. Results indicate a substantial increase in MVPA associated with the ACTIPROS toolbox and need to be tested in a larger sample. TRIAL REGISTRATION German Clinical Trials Register DRKS00025840.
Collapse
Affiliation(s)
- Berit Brandes
- Department of Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstraße 30, 28359 Bremen, Germany
| | - Louisa Sell
- Department of Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstraße 30, 28359 Bremen, Germany
- Faculty 11 – Human and Health Sciences, University of Bremen, Bremen, Germany
| | - Christoph Buck
- Department of Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstraße 30, 28359 Bremen, Germany
| | - Heide Busse
- Department of Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstraße 30, 28359 Bremen, Germany
| | - Hajo Zeeb
- Department of Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstraße 30, 28359 Bremen, Germany
- Faculty 11 – Human and Health Sciences, University of Bremen, Bremen, Germany
| | - Mirko Brandes
- Department of Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstraße 30, 28359 Bremen, Germany
| |
Collapse
|
6
|
Vonneilich N, Becher H, Bohn B, Brandes B, Castell S, Deckert A, Dragano N, Franzke CW, Führer A, Gastell S, Greiser H, Keil T, Klett-Tammen C, Koch-Gallenkamp L, Krist L, Leitzmann M, Meinke-Franze C, Mikolajczyk R, Moreno Velasquez I, Obi N, Peters A, Pischon T, Reuter M, Schikowski T, Schmidt B, Schulze M, Sergeev D, Stang A, Völzke H, Wiessner C, Zeeb H, Lüdecke D, von dem Knesebeck O. Associations of Migration, Socioeconomic Position and Social Relations With Depressive Symptoms - Analyses of the German National Cohort Baseline Data. Int J Public Health 2023; 68:1606097. [PMID: 37533684 PMCID: PMC10391163 DOI: 10.3389/ijph.2023.1606097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 07/05/2023] [Indexed: 08/04/2023] Open
Abstract
Objectives: We analyze whether the prevalence of depressive symptoms differs among various migrant and non-migrant populations in Germany and to what extent these differences can be attributed to socioeconomic position (SEP) and social relations. Methods: The German National Cohort health study (NAKO) is a prospective multicenter cohort study (N = 204,878). Migration background (assessed based on citizenship and country of birth of both participant and parents) was used as independent variable, age, sex, Social Network Index, the availability of emotional support, SEP (relative income position and educational status) and employment status were introduced as covariates and depressive symptoms (PHQ-9) as dependent variable in logistic regression models. Results: Increased odds ratios of depressive symptoms were found in all migrant subgroups compared to non-migrants and varied regarding regions of origins. Elevated odds ratios decreased when SEP and social relations were included. Attenuations varied across migrant subgroups. Conclusion: The gap in depressive symptoms can partly be attributed to SEP and social relations, with variations between migrant subgroups. The integration paradox is likely to contribute to the explanation of the results. Future studies need to consider heterogeneity among migrant subgroups whenever possible.
Collapse
Affiliation(s)
- Nico Vonneilich
- Institute of Medical Sociology, Center for Psychosocial Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Heiko Becher
- Heidelberg Institute of Global Health, Heidelberg University Hospital, Heidelberg, Baden-Württemberg, Germany
| | - Barbara Bohn
- NAKO e.V., Heidelberg University, Heidelberg, Baden-Württemberg, Germany
| | - Berit Brandes
- Leibniz Institute for Prevention Research and Epidemiology (LG), Bremen, Germany
| | - Stefanie Castell
- Department of Epidemiology, Helmholtz Center for Infection Research, Helmholtz Association of German Research Centers (HZ), Braunschweig, Niedersachsen, Germany
| | - Andreas Deckert
- Heidelberg Institute of Global Health, Heidelberg University Hospital, Heidelberg, Baden-Württemberg, Germany
| | - Nico Dragano
- Institute for Medical Sociology, University Hospital of Düsseldorf, Düsseldorf, Germany
| | - Claus-Werner Franzke
- Institute for Prevention and Cancer Epidemiology, University of Freiburg Medical Center, Freiburg, Baden-Württemberg, Germany
| | - Amand Führer
- Institute for Medical Epidemiology, Biometrics and Informatics (IMEBI), University Hospital in Halle, Halle, Saxony-Anhalt, Germany
| | - Sylvia Gastell
- NAKO Study Center, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Potsdam, Brandenburg, Germany
| | - Halina Greiser
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Baden-Württemberg, Germany
| | - Thomas Keil
- Institute of Social Medicine, Epidemiology and Health Economics, Charité University Medicine Berlin, Berlin, Germany
- Institute of Clinical Epidemiology and Biometry, Faculty of Medicine, University of Würzburg, Würzburg, Bavaria, Germany
- State Institute of Health I, Bavarian Health and Food Safety Authority, Erlangen, Germany
| | - Carolina Klett-Tammen
- Department of Epidemiology, Helmholtz Center for Infection Research, Helmholtz Association of German Research Centers (HZ), Braunschweig, Niedersachsen, Germany
| | - Lena Koch-Gallenkamp
- Department of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Baden-Württemberg, Germany
| | - Lilian Krist
- Institute of Social Medicine, Epidemiology and Health Economics, Charité University Medicine Berlin, Berlin, Germany
| | - Michael Leitzmann
- Deptartment of Epidemiology and Preventive Medicine, University Medical Center Regensburg, Regensburg, Bavaria, Germany
| | - Claudia Meinke-Franze
- Institute for Community Medicine, University Medical Center Greifswald, Greifswald, Mecklenburg-Vorpommern, Germany
| | - Rafael Mikolajczyk
- Institute for Medical Epidemiology, Biometrics and Informatics (IMEBI), University Hospital in Halle, Halle, Saxony-Anhalt, Germany
| | - Ilais Moreno Velasquez
- Molecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine, Helmholtz Association of German Research Centers (HZ), Berlin, Baden-Wurttemberg, Germany
| | - Nadia Obi
- Institute for Occupational and Maritime Medicine Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Hamburg, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Center München, Helmholtz Association of German Research Centres (HZ), Neuherberg, Germany
| | - Tobias Pischon
- Molecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine, Helmholtz Association of German Research Centers (HZ), Berlin, Baden-Wurttemberg, Germany
- Berlin Institute of Health (BIH), Charité University Medicine Berlin, Berlin, Germany
| | - Marvin Reuter
- Subject Sociology, University of Bamberg, Bamberg, Bavaria, Germany
| | - Tamara Schikowski
- Leibniz-Institut für Umweltmedizinische Forschung (IUF), Dusseldorf, Germany
| | - Börge Schmidt
- Institute for Medical Informatics, Biometry and Epidemiology, Essen University Hospital, Essen, North Rhine-Westphalia, Germany
| | - Matthias Schulze
- German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Potsdam, Brandenburg, Germany
- Institute of Nutrition Science, Faculty of Mathematics and Natural Sciences, University of Potsdam, Potsdam, Brandenburg, Germany
| | - Dmitry Sergeev
- Department of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Baden-Württemberg, Germany
| | - Andreas Stang
- Institute for Medical Informatics, Biometry and Epidemiology, Essen University Hospital, Essen, North Rhine-Westphalia, Germany
| | - Henry Völzke
- Institute for Community Medicine, University Medical Center Greifswald, Greifswald, Mecklenburg-Vorpommern, Germany
| | - Christian Wiessner
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Hamburg, Germany
| | - Hajo Zeeb
- Leibniz Institute for Prevention Research and Epidemiology (LG), Bremen, Germany
| | - Daniel Lüdecke
- Institute of Medical Sociology, Center for Psychosocial Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Olaf von dem Knesebeck
- Institute of Medical Sociology, Center for Psychosocial Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| |
Collapse
|
7
|
Brandes M, Brandes B, Sell L, Sacheck JM, Chinapaw M, Lubans DR, Woll A, Schipperijn J, Jago R, Busse H. How to select interventions for promoting physical activity in schools? Combining preferences of stakeholders and scientists. Int J Behav Nutr Phys Act 2023; 20:48. [PMID: 37098620 PMCID: PMC10127415 DOI: 10.1186/s12966-023-01452-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 04/12/2023] [Indexed: 04/27/2023] Open
Abstract
BACKGROUND The failure to scale-up and implement physical activity (PA) interventions in real world contexts, which were previously successful under controlled conditions, may be attributed to the different criteria of stakeholders and scientists in the selection process of available interventions. Therefore, the aim of our study was to investigate and compare the criteria applied by local stakeholders and scientists for selecting amongst suitable school-based PA interventions for implementation. METHODS We conducted a three-round repeated survey Delphi study with local stakeholders (n = 7; Bremen, Germany) and international scientific PA experts (n = 6). Independently for both panels, two rounds were utilized to develop a list of criteria and the definitions of criteria, followed by a prioritization of the criteria in the third round. For each panel, a narrative analysis was used to rank-order unique criteria, list the number of scorers for the unique criteria and synthesize criteria into overarching categories. RESULTS The stakeholders developed a list of 53 unique criteria, synthesized into 11 categories with top-ranked criteria being 'free of costs', 'longevity' and 'integration into everyday school life'. The scientists listed 35 unique criteria, synthesized into 7 categories with the top-ranked criteria being 'efficacy', 'potential for reach' and 'feasibility'. The top ranked unique criteria in the stakeholder panel were distributed over many categories, whereas four out of the top six criteria in the scientist panel were related to 'evidence'. CONCLUSIONS Although stakeholders and scientists identified similar criteria, major differences were disclosed in the prioritization of the criteria. We recommend an early collaboration of stakeholders and scientists in the design, implementation, and evaluation of PA interventions.
Collapse
Affiliation(s)
- Mirko Brandes
- Department of Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstraße 30, 28359, Bremen, Germany.
| | - Berit Brandes
- Department of Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstraße 30, 28359, Bremen, Germany
| | - Louisa Sell
- Department of Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstraße 30, 28359, Bremen, Germany
| | - Jennifer M Sacheck
- Department of Exercise and Nutrition Sciences, Milken Institute School of Public Health, The George Washington University, Washington, D.C., USA
| | - Mai Chinapaw
- Amsterdam UMC, Location Vrije Universiteit Amsterdam, Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - David R Lubans
- Priority Research Centre for Physical Activity and Nutrition, University of Newcastle, Newcastle, Australia
| | - Alexander Woll
- Institute of Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Jasper Schipperijn
- Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
| | - Russell Jago
- Centre for Exercise, Nutrition & Health Sciences, School for Policy Studies, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Heide Busse
- Department of Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstraße 30, 28359, Bremen, Germany
| |
Collapse
|
8
|
Brandes B, Busse H, Sell L, Christianson L, Brandes M. A scoping review on characteristics of school-based interventions to promote physical activity and cardiorespiratory fitness among 6- to 10-year-old children. Prev Med 2022; 155:106920. [PMID: 34921831 DOI: 10.1016/j.ypmed.2021.106920] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Revised: 10/12/2021] [Accepted: 12/13/2021] [Indexed: 11/19/2022]
Abstract
Physical inactivity, a leading cause of mortality, tracks from childhood to adulthood. Effective interventions to promote physical activity (PA) at a young age are therefore needed. The aim of this scoping review was to provide an overview of school-based interventions for the promotion of PA, cardiorespiratory fitness (CRF), and the reduction of sedentary behaviours (SB) among six- to ten-year-old school children, and map these interventions to the WHO Health Promoting Schools framework. Arksey and O'Malley's scoping review methodology framework guided the conduct of this review. A systematic electronic search of six databases was combined with a hand search of reference lists to retrieve studies published between 2010 and 2019. Data extraction included information on study and intervention characteristics, effectiveness on PA, SB and CRF outcomes, and features of the WHO HPS framework. 192 papers investigating 178 interventions were included. The majority of the identified interventions were single feature interventions (n = 84, 47%) while none of them encompassed all six features of the HPS framework. 'Health skills and education' (n = 104, 58%) was the most frequent feature followed by 'Links with parents or community' (n = 95, 53%). A higher percentage of effective interventions were found for theory-based interventions. Some single-feature interventions were found to be effective while no specific feature combination seemed to be associated with better intervention effectiveness. Theory-based single- as well as multi-feature interventions seem to have the potential to improve effectiveness with regard to PA, CRF, and SB outcomes.
Collapse
Affiliation(s)
- Berit Brandes
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
| | - Heide Busse
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
| | - Louisa Sell
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
| | - Lara Christianson
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
| | - Mirko Brandes
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
| |
Collapse
|
9
|
Brandes B, Busse H, Sell L, Christianson L, Brandes M. Protocol for a scoping review to identify and map intervention components of existing school-based interventions for the promotion of physical activity and cardiorespiratory fitness among school children aged 6-10 years old. BMJ Open 2020; 10:e037848. [PMID: 33028552 PMCID: PMC7539586 DOI: 10.1136/bmjopen-2020-037848] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Revised: 08/10/2020] [Accepted: 08/26/2020] [Indexed: 11/22/2022] Open
Abstract
INTRODUCTION Physical inactivity is known as a leading cause of mortality and tracks from childhood to adulthood. Many types of school-based single-component and multicomponent interventions to promote physical activity (PA) have been undertaken and evaluated, with mixed findings overall. Enlarging the intervention areas beyond the school setting is a promising approach. WHO's Health Promoting School (WHO HPS) framework is a holistic, setting-based approach where health is promoted through the whole school environment with links to other settings such as the home environment and wider community. In this paper, we outline our scoping review protocol to systematically review the published literature from the last 10 years to identify existing school-based interventions to promote PA and cardiorespiratory fitness among children aged 6-10 years old and to map intervention components according to the features of this framework. METHODS AND ANALYSIS Arksey and O'Malley's scoping review methodology framework will guide the conduct of this review. We will search Medline, PsycINFO, Cumulative Index to Nursing and Allied Health Literature, Sports Medicine & Education Index, Education Resources Information Centre and CENTRAL and hand search the reference lists of key studies to identify studies appropriate for inclusion. Any empirical study that evaluated the effectiveness of a school-based intervention promoting PA and/or cardiorespiratory fitness in children aged 6-10 years old will be included. Two reviewers will independently screen all abstracts and full texts for inclusion. One reviewer will extract general information, study characteristics and intervention contents to classify them according to the features of the WHO HPS framework. Results will be synthesised narratively. ETHICS AND DISSEMINATION Findings will be disseminated in conference presentations and peer-reviewed publications. A condensed version of the results will be made available for the public. Stakeholder meetings will be arranged to discuss and disseminate the findings.
Collapse
Affiliation(s)
- Berit Brandes
- Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology, BIPS, Bremen, Germany
| | - Heide Busse
- Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology, BIPS, Bremen, Germany
| | - Louisa Sell
- Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology, BIPS, Bremen, Germany
| | - Lara Christianson
- Clinical Epidemiology, Leibniz Institute for Prevention Research and Epidemiology, BIPS, Bremen, Germany
| | - Mirko Brandes
- Prevention and Evaluation, Leibniz Institute for Prevention Research and Epidemiology, BIPS, Bremen, Germany
| |
Collapse
|
10
|
Fredgart MH, Carter Storch R, Moeller JE, Oevrehus KA, Pecini R, Dahl JS, Gerke O, Alturkmany RA, Brandes B, Lindholt JS, Diederichsen ACP. P6482Measurement of left atrial size by non-contrast computed tomography, 2D and 3D transthoracic echocardiography compared to cardiac magnetic resonance imaging. Eur Heart J 2018. [DOI: 10.1093/eurheartj/ehy566.p6482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- M H Fredgart
- Odense University Hospital, Department of Cardiology, Odense, Denmark
| | - R Carter Storch
- Odense University Hospital, Department of Cardiology, Odense, Denmark
| | - J E Moeller
- Odense University Hospital, Department of Cardiology, Odense, Denmark
| | - K A Oevrehus
- Odense University Hospital, Department of Cardiology, Odense, Denmark
| | - R Pecini
- Odense University Hospital, Department of Cardiology, Odense, Denmark
| | - J S Dahl
- Odense University Hospital, Department of Cardiology, Odense, Denmark
| | - O Gerke
- Odense University Hospital, Department of Nuclear Medicine, Odense, Denmark
| | - R A Alturkmany
- Odense University Hospital, Department of Cardiology, Odense, Denmark
| | - B Brandes
- Odense University Hospital, Department of Cardiology, Odense, Denmark
| | - J S Lindholt
- Odense University Hospital, Department of Cardiothoracic and Vascular Surgery, Odense, Denmark
| | - A C P Diederichsen
- Odense University Hospital, Elitary Research Centre of Individualized Medicine in Arterial Disease (CIMA), Odense, Denmark
| |
Collapse
|
11
|
Adamenko RS, Brandes B, Karpen SJ. A 5-year-old boy with hepatomegaly and linear growth delay. Curr Opin Pediatr 1998; 10:523-6. [PMID: 9818252 DOI: 10.1097/00008480-199810000-00013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Affiliation(s)
- R S Adamenko
- Department of Pediatrics, Yale University School of Medicine, New Haven, CT 06520, USA
| | | | | |
Collapse
|
12
|
Abstract
Pretibial myxedema (not to be confused with myxedema suggestive of hypothyroidism) is one of the extrathyroidal manifestations observed in some patients with Graves' disease. Graves' disease is commonly described as a disease that consists of one or more of the following characteristics: goiter, exophthalamos, acropachy, and pretibial myxedema. In order to facilitate a better understanding of the pathology and etiology of pretibial myxedema, a review of current research focusing on the immunological basis of Graves' disease is presented. An examination of the signs, symptoms, diagnosis, treatment, and differential diagnosis is also presented, as well as a case study that demonstrates Graves' disease and its extrathyroidal manifestations and complications.
Collapse
Affiliation(s)
- P Sauer
- Department of Podiatry, Oak Forest Hospital of Cook County, Illinois, USA
| | | | | |
Collapse
|
13
|
Reuther C, Brandes B. [Incidence of hyperthermia during immobilization of European otters (Lutra lutra) with ketamine hydrochloride]. Dtsch Tierarztl Wochenschr 1984; 91:66-8. [PMID: 6368181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
|
14
|
Grady J, Jansen B, Kander R, Brandes B. Perfusion cast dressing: a conservative means for treating cutaneous ulcerations. J Am Podiatry Assoc 1981; 71:509-11. [PMID: 7264173 DOI: 10.7547/87507315-71-9-509] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
|
15
|
Dreyer MP, Carnuccio N, Brandes B, Caubet JC. [Infectious endocarditis. Anatomo-clinical characteristics according to the etiological agent]. Prensa Med Argent 1971; 58:138-51. [PMID: 5091413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
|
16
|
Carnuccio N, Brandes B, Vazquez LE, Dreyer MP. [Bacterial endocarditis caused by a rare germ: Haemophilus influenzae. Located on a Starr-Edwards mitral valve prosthesis]. Prensa Med Argent 1970; 57:985-8. [PMID: 5312058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
|