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Wirnitzer KC, Motevalli M, Tanous DR, Wirnitzer G, Wagner KH, Cocca A, Schätzer M, Kirschner W, Drenowatz C, Ruedl G. Study Protocol of "Sustainably Healthy-From Science 2 Highschool & University"-Prevalence of Mixed, Vegetarian, and Vegan Diets Linked to Sports & Exercise among Austrian Tertiary Students and Lecturers/Academic Staff. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:15313. [PMID: 36430039 PMCID: PMC9690980 DOI: 10.3390/ijerph192215313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 11/14/2022] [Accepted: 11/17/2022] [Indexed: 06/16/2023]
Abstract
Healthy lifestyle is the major indicator of individual and public health especially in target populations (e.g., during emerging adulthood). Evidence indicates that unhealthy lifestyle behaviors are strongly associated with the increasing prevalence of chronic diseases. The dual approach of sustainable health (i.e., physical exercise tied to a healthy diet) is an effective lifestyle strategy to control and manage health-related disorders, including overweight/obesity. Based on the evidence on plant-based diets regarding health and considering the growing prevalence of vegans and vegetarians worldwide, limited data exist on the health-related behaviors of those who follow plant-based vs. mixed diets in young adulthood. This multidisciplinary study is the first to examine the association between diet type (mixed, vegetarian, and vegan diets) and various health-related behaviors (primarily physical activity, sport, & exercise) among college/university students and lecturers/academic staff in Austria nationwide. Following a cross-sectional study design and using online questionnaires, 4510 tertiary students and 1043 lecturers/academic staff provided data on sociodemographic characteristics, dietary patterns, physical exercise habits, and other lifestyle behaviors (sleep, alcohol intake, smoking, etc.) along with information on health status and quality of life. While the data will be analyzed based on differentiated sociodemographic and health-related categories, the influence of the COVID-19 pandemic on lifestyle behaviors will also be evaluated. As a study protocol, this article represents comprehensive details of the design, purposes, and associated analytical measures of the present study within the tertiary educational context.
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Affiliation(s)
- Katharina C. Wirnitzer
- Department of Research and Development in Teacher Education, University College of Teacher Education Tyrol, 6010 Innsbruck, Austria
- Department of Sport Science, University of Innsbruck, 6020 Innsbruck, Austria
- Research Center Medical Humanities, Leopold-Franzens University of Innsbruck, 6020 Innsbruck, Austria
| | - Mohamad Motevalli
- Department of Research and Development in Teacher Education, University College of Teacher Education Tyrol, 6010 Innsbruck, Austria
- Department of Sport Science, University of Innsbruck, 6020 Innsbruck, Austria
| | - Derrick R. Tanous
- Department of Research and Development in Teacher Education, University College of Teacher Education Tyrol, 6010 Innsbruck, Austria
- Department of Sport Science, University of Innsbruck, 6020 Innsbruck, Austria
| | | | - Karl-Heinz Wagner
- Department of Nutritional Sciences and Research Platform Active Ageing, University of Vienna, 1090 Vienna, Austria
| | - Armando Cocca
- Department of Sport Science, University of Innsbruck, 6020 Innsbruck, Austria
| | - Manuel Schätzer
- Special Institute for Preventive Cardiology and Nutrition—SIPCAN, 5061 Elsbethen, Austria
| | - Werner Kirschner
- Department of Sport Science, University of Innsbruck, 6020 Innsbruck, Austria
| | - Clemens Drenowatz
- Division of Sport, Physical Activity and Health, University of Teacher Education Upper Austria, 4020 Linz, Austria
| | - Gerhard Ruedl
- Department of Sport Science, University of Innsbruck, 6020 Innsbruck, Austria
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Schneeberger M, Brice NL, Pellegrino K, Parolari L, Shaked JT, Page KJ, Marchildon F, Barrows DW, Carroll TS, Topilko T, Mulligan VM, Newman R, Doyle K, Bürli R, Barker DF, Glen A, Ortuño MJ, Nectow AR, Renier N, Cohen P, Carlton M, Heintz N, Friedman JM. Pharmacological targeting of glutamatergic neurons within the brainstem for weight reduction. Nat Metab 2022; 4:1495-1513. [PMID: 36411386 PMCID: PMC9684079 DOI: 10.1038/s42255-022-00677-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 10/04/2022] [Indexed: 11/22/2022]
Abstract
Food intake and body weight are tightly regulated by neurons within specific brain regions, including the brainstem, where acute activation of dorsal raphe nucleus (DRN) glutamatergic neurons expressing the glutamate transporter Vglut3 (DRNVglut3) drive a robust suppression of food intake and enhance locomotion. Activating Vglut3 neurons in DRN suppresses food intake and increases locomotion, suggesting that modulating the activity of these neurons might alter body weight. Here, we show that DRNVglut3 neurons project to the lateral hypothalamus (LHA), a canonical feeding center that also reduces food intake. Moreover, chronic DRNVglut3 activation reduces weight in both leptin-deficient (ob/ob) and leptin-resistant diet-induced obese (DIO) male mice. Molecular profiling revealed that the orexin 1 receptor (Hcrtr1) is highly enriched in DRN Vglut3 neurons, with limited expression elsewhere in the brain. Finally, an orally bioavailable, highly selective Hcrtr1 antagonist (CVN45502) significantly reduces feeding and body weight in DIO. Hcrtr1 is also co-expressed with Vglut3 in the human DRN, suggesting that there might be a similar effect in human. These results identify a potential therapy for obesity by targeting DRNVglut3 neurons while also establishing a general strategy for developing drugs for central nervous system disorders.
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Affiliation(s)
- Marc Schneeberger
- Laboratory of Molecular Genetics, Howard Hughes Medical Institute, The Rockefeller University, New York, NY, USA.
- Laboratory of Neurovascular Control of Homeostasis, Department of Cellular and Molecular Physiology, Yale School of Medicine, New Haven, CT, USA.
- Wu Tsai Institute for Brain and Cognition, Yale School of Medicine, New Haven, CT, USA.
| | | | - Kyle Pellegrino
- Laboratory of Molecular Genetics, Howard Hughes Medical Institute, The Rockefeller University, New York, NY, USA
| | - Luca Parolari
- Laboratory of Molecular Genetics, Howard Hughes Medical Institute, The Rockefeller University, New York, NY, USA
| | - Jordan T Shaked
- Laboratory of Molecular Genetics, Howard Hughes Medical Institute, The Rockefeller University, New York, NY, USA
| | | | - François Marchildon
- Laboratory of Molecular Metabolism, The Rockefeller University, New York, NY, USA
| | - Douglas W Barrows
- Bioinformatics Resource Center, The Rockefeller University, New York, NY, USA
| | - Thomas S Carroll
- Bioinformatics Resource Center, The Rockefeller University, New York, NY, USA
| | - Thomas Topilko
- Sorbonne Université, Paris Brain Institute, INSERM, CNRS, Hopital de la Pitié Salpétière, Paris, France
| | | | | | | | | | | | | | | | - Alexander R Nectow
- College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Nicolas Renier
- Sorbonne Université, Paris Brain Institute, INSERM, CNRS, Hopital de la Pitié Salpétière, Paris, France
| | - Paul Cohen
- Laboratory of Molecular Metabolism, The Rockefeller University, New York, NY, USA
| | | | - Nathaniel Heintz
- Laboratory of Molecular Biology, Howard Hughes Medical Institute, The Rockefeller University, New York, NY, USA
| | - Jeffrey M Friedman
- Laboratory of Molecular Genetics, Howard Hughes Medical Institute, The Rockefeller University, New York, NY, USA.
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Motevalli M, Drenowatz C, Tanous DR, Khan NA, Wirnitzer K. Management of Childhood Obesity-Time to Shift from Generalized to Personalized Intervention Strategies. Nutrients 2021; 13:1200. [PMID: 33917383 PMCID: PMC8067342 DOI: 10.3390/nu13041200] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 03/30/2021] [Accepted: 04/02/2021] [Indexed: 02/07/2023] Open
Abstract
As a major public health concern, childhood obesity is a multifaceted and multilevel metabolic disorder influenced by genetic and behavioral aspects. While genetic risk factors contribute to and interact with the onset and development of excess body weight, available evidence indicates that several modifiable obesogenic behaviors play a crucial role in the etiology of childhood obesity. Although a variety of systematic reviews and meta-analyses have reported the effectiveness of several interventions in community-based, school-based, and home-based programs regarding childhood obesity, the prevalence of children with excess body weight remains high. Additionally, researchers and pediatric clinicians are often encountering several challenges and the characteristics of an optimal weight management strategy remain controversial. Strategies involving a combination of physical activity, nutritional, and educational interventions are likely to yield better outcomes compared to single-component strategies but various prohibitory limitations have been reported in practice. This review seeks to (i) provide a brief overview of the current preventative and therapeutic approaches towards childhood obesity, (ii) discuss the complexity and limitations of research in the childhood obesity area, and (iii) suggest an Etiology-Based Personalized Intervention Strategy Targeting Childhood Obesity (EPISTCO). This purposeful approach includes prioritized nutritional, educational, behavioral, and physical activity intervention strategies directly based on the etiology of obesity and interpretation of individual characteristics.
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Affiliation(s)
- Mohamad Motevalli
- Department of Sport Science, Leopold-Franzens University of Innsbruck, A-6020 Innsbruck, Austria; (D.R.T.); (K.W.)
| | - Clemens Drenowatz
- Division of Sport, Physical Activity and Health, University College of Teacher Education Upper Austria, A-4020 Linz, Austria;
| | - Derrick R. Tanous
- Department of Sport Science, Leopold-Franzens University of Innsbruck, A-6020 Innsbruck, Austria; (D.R.T.); (K.W.)
| | - Naim Akhtar Khan
- Nutritional Physiology & Toxicology Division, INSERM UMR 1231, Université de Bourgogne, F-21000 Dijon, France;
| | - Katharina Wirnitzer
- Department of Sport Science, Leopold-Franzens University of Innsbruck, A-6020 Innsbruck, Austria; (D.R.T.); (K.W.)
- Department of Subject Didactics and Educational Research & Development, University College of Teacher Education Tyrol, A-6020 Innsbruck, Austria
- Life and Health Science Cluster Tirol, Subcluster Health/Medicine/Psychology, A-6020 Innsbruck, Austria
- Research Center Medical Humanities, Leopold-Franzens University of Innsbruck, A-6020 Innsbruck, Austria
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Management of Childhood Obesity—Time to Shift from Generalized to Personalized Intervention Strategies. Nutrients 2021. [DOI: 10.3390/nu13041200
expr 902416715 + 844236509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2023] Open
Abstract
As a major public health concern, childhood obesity is a multifaceted and multilevel metabolic disorder influenced by genetic and behavioral aspects. While genetic risk factors contribute to and interact with the onset and development of excess body weight, available evidence indicates that several modifiable obesogenic behaviors play a crucial role in the etiology of childhood obesity. Although a variety of systematic reviews and meta-analyses have reported the effectiveness of several interventions in community-based, school-based, and home-based programs regarding childhood obesity, the prevalence of children with excess body weight remains high. Additionally, researchers and pediatric clinicians are often encountering several challenges and the characteristics of an optimal weight management strategy remain controversial. Strategies involving a combination of physical activity, nutritional, and educational interventions are likely to yield better outcomes compared to single-component strategies but various prohibitory limitations have been reported in practice. This review seeks to (i) provide a brief overview of the current preventative and therapeutic approaches towards childhood obesity, (ii) discuss the complexity and limitations of research in the childhood obesity area, and (iii) suggest an Etiology-Based Personalized Intervention Strategy Targeting Childhood Obesity (EPISTCO). This purposeful approach includes prioritized nutritional, educational, behavioral, and physical activity intervention strategies directly based on the etiology of obesity and interpretation of individual characteristics.
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5
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Motevalli M, Drenowatz C, Tanous DR, Khan NA, Wirnitzer K. Management of Childhood Obesity-Time to Shift from Generalized to Personalized Intervention Strategies. Nutrients 2021; 13:1200. [PMID: 33917383 PMCID: PMC8067342 DOI: 10.3390/nu13041200&set/a 931824908+802380262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2023] Open
Abstract
As a major public health concern, childhood obesity is a multifaceted and multilevel metabolic disorder influenced by genetic and behavioral aspects. While genetic risk factors contribute to and interact with the onset and development of excess body weight, available evidence indicates that several modifiable obesogenic behaviors play a crucial role in the etiology of childhood obesity. Although a variety of systematic reviews and meta-analyses have reported the effectiveness of several interventions in community-based, school-based, and home-based programs regarding childhood obesity, the prevalence of children with excess body weight remains high. Additionally, researchers and pediatric clinicians are often encountering several challenges and the characteristics of an optimal weight management strategy remain controversial. Strategies involving a combination of physical activity, nutritional, and educational interventions are likely to yield better outcomes compared to single-component strategies but various prohibitory limitations have been reported in practice. This review seeks to (i) provide a brief overview of the current preventative and therapeutic approaches towards childhood obesity, (ii) discuss the complexity and limitations of research in the childhood obesity area, and (iii) suggest an Etiology-Based Personalized Intervention Strategy Targeting Childhood Obesity (EPISTCO). This purposeful approach includes prioritized nutritional, educational, behavioral, and physical activity intervention strategies directly based on the etiology of obesity and interpretation of individual characteristics.
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Affiliation(s)
- Mohamad Motevalli
- Department of Sport Science, Leopold-Franzens University of Innsbruck, A-6020 Innsbruck, Austria; (D.R.T.); (K.W.)
- Correspondence:
| | - Clemens Drenowatz
- Division of Sport, Physical Activity and Health, University College of Teacher Education Upper Austria, A-4020 Linz, Austria;
| | - Derrick R. Tanous
- Department of Sport Science, Leopold-Franzens University of Innsbruck, A-6020 Innsbruck, Austria; (D.R.T.); (K.W.)
| | - Naim Akhtar Khan
- Nutritional Physiology & Toxicology Division, INSERM UMR 1231, Université de Bourgogne, F-21000 Dijon, France;
| | - Katharina Wirnitzer
- Department of Sport Science, Leopold-Franzens University of Innsbruck, A-6020 Innsbruck, Austria; (D.R.T.); (K.W.)
- Department of Subject Didactics and Educational Research & Development, University College of Teacher Education Tyrol, A-6020 Innsbruck, Austria
- Life and Health Science Cluster Tirol, Subcluster Health/Medicine/Psychology, A-6020 Innsbruck, Austria
- Research Center Medical Humanities, Leopold-Franzens University of Innsbruck, A-6020 Innsbruck, Austria
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A novel scaling methodology to reduce the biases associated with missing data from commercial activity monitors. PLoS One 2020; 15:e0235144. [PMID: 32579613 PMCID: PMC7313747 DOI: 10.1371/journal.pone.0235144] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Accepted: 06/09/2020] [Indexed: 12/05/2022] Open
Abstract
Background Commercial physical activity monitors have wide utility in the assessment of physical activity in research and clinical settings, however, the removal of devices results in missing data and has the potential to bias study conclusions. This study aimed to evaluate methods to address missingness in data collected from commercial activity monitors. Methods This study utilised 1526 days of near complete data from 109 adults participating in a European weight loss maintenance study (NoHoW). We conducted simulation experiments to test a novel scaling methodology (NoHoW method) and alternative imputation strategies (overall/individual mean imputation, overall/individual multiple imputation, Kalman imputation and random forest imputation). Methods were compared for hourly, daily and 14-day physical activity estimates for steps, total daily energy expenditure (TDEE) and time in physical activity categories. In a second simulation study, individual multiple imputation, Kalman imputation and the NoHoW method were tested at different positions and quantities of missingness. Equivalence testing and root mean squared error (RMSE) were used to evaluate the ability of each of the strategies relative to the true data. Results The NoHoW method, Kalman imputation and multiple imputation methods remained statistically equivalent (p<0.05) for all physical activity metrics at the 14-day level. In the second simulation study, RMSE tended to increase with increased missingness. Multiple imputation showed the smallest RMSE for Steps and TDEE at lower levels of missingness (<19%) and the Kalman and NoHoW methods were generally superior for imputing time in physical activity categories. Conclusion Individual centred imputation approaches (NoHoW method, Kalman imputation and individual Multiple imputation) offer an effective means to reduce the biases associated with missing data from activity monitors and maximise data retention.
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