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Trabelsi K, Ammar A, Masmoudi L, Boukhris O, Chtourou H, Bouaziz B, Brach M, Bentlage E, How D, Ahmed M, Mueller P, Mueller N, Hsouna H, Elghoul Y, Romdhani M, Hammouda O, Paineiras-Domingos LL, Braakman-Jansen A, Wrede C, Bastoni S, Pernambuco CS, Mataruna-Dos-Santos LJ, Taheri M, Irandoust K, Bragazzi NL, Strahler J, Washif JA, Andreeva A, Bailey SJ, Acton J, Mitchell E, Bott NT, Gargouri F, Chaari L, Batatia H, Khoshnami SC, Samara E, Zisi V, Sankar P, Ahmed WN, Ali GM, Abdelkarim O, Jarraya M, Abed KE, Moalla W, Souissi N, Aloui A, Souissi N, Gemert-Pijnen LV, Riemann BL, Riemann L, Delhey J, Gómez-Raja J, Epstein M, Sanderman R, Schulz S, Jerg A, Al-Horani R, Mansi T, Dergaa I, Jmail M, Barbosa F, Ferreira-Santos F, Šimunič B, Pišot R, Pišot S, Gaggioli A, Steinacker J, Zmijewski P, Apfelbacher C, Glenn JM, Khacharem A, Clark CC, Saad HB, Chamari K, Driss T, Hoekelmann A. Sleep Quality and Physical Activity as Predictors of Mental Wellbeing Variance in Older Adults during COVID-19 Lockdown: ECLB COVID-19 International Online Survey. Int J Environ Res Public Health 2021; 18:4329. [PMID: 33921852 PMCID: PMC8073845 DOI: 10.3390/ijerph18084329] [Citation(s) in RCA: 80] [Impact Index Per Article: 26.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/07/2021] [Revised: 04/15/2021] [Accepted: 04/16/2021] [Indexed: 12/18/2022]
Abstract
BACKGROUND The COVID-19 lockdown could engender disruption to lifestyle behaviors, thus impairing mental wellbeing in the general population. This study investigated whether sociodemographic variables, changes in physical activity, and sleep quality from pre- to during lockdown were predictors of change in mental wellbeing in quarantined older adults. METHODS A 12-week international online survey was launched in 14 languages on 6 April 2020. Forty-one research institutions from Europe, Western-Asia, North-Africa, and the Americas, promoted the survey. The survey was presented in a differential format with questions related to responses "pre" and "during" the lockdown period. Participants responded to the Short Warwick-Edinburgh Mental Wellbeing Scale, the Pittsburgh Sleep Quality Index (PSQI) questionnaire, and the short form of the International Physical Activity Questionnaire. RESULTS Replies from older adults (aged >55 years, n = 517), mainly from Europe (50.1%), Western-Asia (6.8%), America (30%), and North-Africa (9.3%) were analyzed. The COVID-19 lockdown led to significantly decreased mental wellbeing, sleep quality, and total physical activity energy expenditure levels (all p < 0.001). Regression analysis showed that the change in total PSQI score and total physical activity energy expenditure (F(2, 514) = 66.41 p < 0.001) were significant predictors of the decrease in mental wellbeing from pre- to during lockdown (p < 0.001, R2: 0.20). CONCLUSION COVID-19 lockdown deleteriously affected physical activity and sleep patterns. Furthermore, change in the total PSQI score and total physical activity energy expenditure were significant predictors for the decrease in mental wellbeing.
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Affiliation(s)
- Khaled Trabelsi
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax 3000, Tunisia; (K.T.); (L.M.); (O.B.); (H.C.); (H.H.); (Y.E.); (O.H.); (M.J.); (K.E.A.); (W.M.); (N.S.)
- Research Laboratory: Education, Motricity, Sport and Health, EM2S, LR19JS01, University of Sfax, Sfax 3000, Tunisia
| | - Achraf Ammar
- Institute of Sport Science, Otto-Von-Guericke University, 39106 Magdeburg, Germany;
- Interdisciplinary Laboratory in Neurosciences, Physiology and Psychology: Physical Activity, Health and Learning (LINP2), UFR STAPS, UPL, Paris Nanterre University, 92000 Nanterre, France;
| | - Liwa Masmoudi
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax 3000, Tunisia; (K.T.); (L.M.); (O.B.); (H.C.); (H.H.); (Y.E.); (O.H.); (M.J.); (K.E.A.); (W.M.); (N.S.)
- Research Laboratory: Education, Motricity, Sport and Health, EM2S, LR19JS01, University of Sfax, Sfax 3000, Tunisia
| | - Omar Boukhris
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax 3000, Tunisia; (K.T.); (L.M.); (O.B.); (H.C.); (H.H.); (Y.E.); (O.H.); (M.J.); (K.E.A.); (W.M.); (N.S.)
- Physical Activity, Sport, and Health, UR18JS01, National Observatory of Sport, Tunis 1003, Tunisia; (M.R.); (A.A.); (N.S.)
| | - Hamdi Chtourou
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax 3000, Tunisia; (K.T.); (L.M.); (O.B.); (H.C.); (H.H.); (Y.E.); (O.H.); (M.J.); (K.E.A.); (W.M.); (N.S.)
- Physical Activity, Sport, and Health, UR18JS01, National Observatory of Sport, Tunis 1003, Tunisia; (M.R.); (A.A.); (N.S.)
| | - Bassem Bouaziz
- Multimedia InfoRmation Systems and Advanced Computing Laboratory (MIRACL), Higher Institute of Computer Science and Multimedia of Sfax, University of Sfax, Sfax 3000, Tunisia; (B.B.); (F.G.)
| | - Michael Brach
- Institute of Sport and Exercise Sciences, University of Münster, 48149 Münster, Germany; (M.B.); (E.B.); (D.H.); (M.A.)
| | - Ellen Bentlage
- Institute of Sport and Exercise Sciences, University of Münster, 48149 Münster, Germany; (M.B.); (E.B.); (D.H.); (M.A.)
| | - Daniella How
- Institute of Sport and Exercise Sciences, University of Münster, 48149 Münster, Germany; (M.B.); (E.B.); (D.H.); (M.A.)
| | - Mona Ahmed
- Institute of Sport and Exercise Sciences, University of Münster, 48149 Münster, Germany; (M.B.); (E.B.); (D.H.); (M.A.)
| | - Patrick Mueller
- Research Group Neuroprotection, German Center for Neurodegenerative Diseases (DZNE), 39120 Magdeburg, Germany; (P.M.); (N.M.)
- Department of Neurology, Medical Faculty, Otto-Von-Guericke University, 39120 Magdeburg, Germany
| | - Notger Mueller
- Research Group Neuroprotection, German Center for Neurodegenerative Diseases (DZNE), 39120 Magdeburg, Germany; (P.M.); (N.M.)
- Department of Neurology, Medical Faculty, Otto-Von-Guericke University, 39120 Magdeburg, Germany
| | - Hsen Hsouna
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax 3000, Tunisia; (K.T.); (L.M.); (O.B.); (H.C.); (H.H.); (Y.E.); (O.H.); (M.J.); (K.E.A.); (W.M.); (N.S.)
- Physical Activity, Sport, and Health, UR18JS01, National Observatory of Sport, Tunis 1003, Tunisia; (M.R.); (A.A.); (N.S.)
| | - Yousri Elghoul
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax 3000, Tunisia; (K.T.); (L.M.); (O.B.); (H.C.); (H.H.); (Y.E.); (O.H.); (M.J.); (K.E.A.); (W.M.); (N.S.)
- Research Laboratory: Education, Motricity, Sport and Health, EM2S, LR19JS01, University of Sfax, Sfax 3000, Tunisia
| | - Mohamed Romdhani
- Physical Activity, Sport, and Health, UR18JS01, National Observatory of Sport, Tunis 1003, Tunisia; (M.R.); (A.A.); (N.S.)
| | - Omar Hammouda
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax 3000, Tunisia; (K.T.); (L.M.); (O.B.); (H.C.); (H.H.); (Y.E.); (O.H.); (M.J.); (K.E.A.); (W.M.); (N.S.)
- Interdisciplinary Laboratory in Neurosciences, Physiology and Psychology: Physical Activity, Health and Learning (LINP2), UFR STAPS, UPL, Paris Nanterre University, 92000 Nanterre, France;
| | - Laisa Liane Paineiras-Domingos
- Programa de Pós-graduação em Ciências Médicas, Faculdade de Ciências Médicas, Universidade do Estado do Rio de Janeiro, Rio de Janeiro 20550-170, Brazil;
- Departamento de Fisioterapia, Faculdade Bezerra de Araújo, Rio de Janeiro 23052-180, Brazil
| | - Annemarie Braakman-Jansen
- Department of Psychology, Health & Technology, University of Twente, 7522 Enschede, The Netherlands; (A.B.-J.); (C.W.); (S.B.); (L.V.G.-P.)
| | - Christian Wrede
- Department of Psychology, Health & Technology, University of Twente, 7522 Enschede, The Netherlands; (A.B.-J.); (C.W.); (S.B.); (L.V.G.-P.)
| | - Sofia Bastoni
- Department of Psychology, Health & Technology, University of Twente, 7522 Enschede, The Netherlands; (A.B.-J.); (C.W.); (S.B.); (L.V.G.-P.)
- Department of Psychology, Università Cattolica del Sacro Cuore, 20123 Milano, Italy
| | - Carlos Soares Pernambuco
- Laboratório de Fisiologia do Exercício, Estácio de Sá University, Rio de Janeiro 20261-063, Brasil;
| | | | - Morteza Taheri
- Faculty of Social Science, Imam Khomeini International University, Qazvin 34148-96818, Iran; (M.T.); (K.I.)
| | - Khadijeh Irandoust
- Faculty of Social Science, Imam Khomeini International University, Qazvin 34148-96818, Iran; (M.T.); (K.I.)
| | - Nicola L. Bragazzi
- Department of Health Sciences, Postgraduate School of Public Health, University of Genoa, 16132 Genoa, Italy;
- Laboratory for Industrial and Applied Mathematics, Department of Mathematics and Statistics, York University, 4700 Keele Street, Toronto, ON M3J 1P3, Canada
| | - Jana Strahler
- Department of Psychology and Sport Science, University of Gießen, 35394 Gießen, Germany;
| | - Jad Adrian Washif
- Sports Performance Division, National Sports Institute of Malaysia, Kuala Lumpur 57000, Malaysia;
| | - Albina Andreeva
- Department of Sports Biomechanics, Moscow Center of Advanced Sport Technologies, 129272 Moscow, Russia;
| | - Stephen J. Bailey
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough E11 3TU, UK; (S.J.B.); (J.A.); (E.M.)
| | - Jarred Acton
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough E11 3TU, UK; (S.J.B.); (J.A.); (E.M.)
| | - Emma Mitchell
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough E11 3TU, UK; (S.J.B.); (J.A.); (E.M.)
| | - Nicholas T. Bott
- Clinical Excellence Research Center, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA;
| | - Faiez Gargouri
- Multimedia InfoRmation Systems and Advanced Computing Laboratory (MIRACL), Higher Institute of Computer Science and Multimedia of Sfax, University of Sfax, Sfax 3000, Tunisia; (B.B.); (F.G.)
| | - Lotfi Chaari
- Computer Science Department, University of Toulouse, IRIT-INP-ENSEEIHT (UMR 5505), BP 7122 Toulouse, France; (L.C.); (H.B.)
| | - Hadj Batatia
- Computer Science Department, University of Toulouse, IRIT-INP-ENSEEIHT (UMR 5505), BP 7122 Toulouse, France; (L.C.); (H.B.)
| | | | | | - Vasiliki Zisi
- Department of Physical Education and Sports Sciences, University of Thessaly, 421 00 Trikala, Greece;
| | - Parasanth Sankar
- Consultant in Internal Medicine and Diabetes, MGM Muthoot Hospitals Pathanamthitta, Kerala 689645, India;
| | - Waseem N. Ahmed
- Consultant Family Physician, CRAFT Hospital and Research Centre, Kodungallur, Kerala 680664, India;
| | - Gamal Mohamed Ali
- Faculty of Physical Education, Assiut University, Assiut 71515, Egypt; (G.M.A.); (O.A.)
| | - Osama Abdelkarim
- Faculty of Physical Education, Assiut University, Assiut 71515, Egypt; (G.M.A.); (O.A.)
- Institute for Sports and Sports Science, Karlsruher Institut für Technologie, 76131 Karlsruher, Germany
| | - Mohamed Jarraya
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax 3000, Tunisia; (K.T.); (L.M.); (O.B.); (H.C.); (H.H.); (Y.E.); (O.H.); (M.J.); (K.E.A.); (W.M.); (N.S.)
| | - Kais El Abed
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax 3000, Tunisia; (K.T.); (L.M.); (O.B.); (H.C.); (H.H.); (Y.E.); (O.H.); (M.J.); (K.E.A.); (W.M.); (N.S.)
| | - Wassim Moalla
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax 3000, Tunisia; (K.T.); (L.M.); (O.B.); (H.C.); (H.H.); (Y.E.); (O.H.); (M.J.); (K.E.A.); (W.M.); (N.S.)
| | - Nafaa Souissi
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax 3000, Tunisia; (K.T.); (L.M.); (O.B.); (H.C.); (H.H.); (Y.E.); (O.H.); (M.J.); (K.E.A.); (W.M.); (N.S.)
| | - Asma Aloui
- Physical Activity, Sport, and Health, UR18JS01, National Observatory of Sport, Tunis 1003, Tunisia; (M.R.); (A.A.); (N.S.)
| | - Nizar Souissi
- Physical Activity, Sport, and Health, UR18JS01, National Observatory of Sport, Tunis 1003, Tunisia; (M.R.); (A.A.); (N.S.)
| | - Lisette Van Gemert-Pijnen
- Department of Psychology, Health & Technology, University of Twente, 7522 Enschede, The Netherlands; (A.B.-J.); (C.W.); (S.B.); (L.V.G.-P.)
| | - Bryan L. Riemann
- Department of Health Sciences and Kinesiology, Georgia Southern University, Statesboro, GA 30458, USA;
| | | | - Jan Delhey
- Institute of Social Science, Otto-Von-Guericke University, 39106 Magdeburg, Germany;
| | - Jonathan Gómez-Raja
- FundeSalud, Department of Health and Social Services, Government of Extremadura, 06800 Merida, Spain;
| | | | - Robbert Sanderman
- Department of Health Psychology, University Medical Center Groningen, University of Groningen, 9712 Groningen, The Netherlands;
| | - Sebastian Schulz
- Sports- and Rehabilitation Medicine, Ulm University Hospital, Leimgrubenweg 14, 89075 Ulm, Germany; (S.S.); (A.J.); (J.S.)
| | - Achim Jerg
- Sports- and Rehabilitation Medicine, Ulm University Hospital, Leimgrubenweg 14, 89075 Ulm, Germany; (S.S.); (A.J.); (J.S.)
| | - Ramzi Al-Horani
- Department of Exercise Science, Yarmouk University, Irbid 21163, Jordan;
| | - Taysir Mansi
- Faculty of Physical Education, The University of Jordan, Amman 11942, Jordan;
| | - Ismail Dergaa
- PHCC, Primary Health Care Corporation, Doha 3050, Qatar;
| | - Mohamed Jmail
- Digital Research Centre of Sfax, Sfax 3000, Tunisia;
| | - Fernando Barbosa
- Laboratory of Neuropsychophysiology, Faculty of Psychology and Education Sciences, University of Porto, 4200-135 Porto, Portugal; (F.B.); (F.F.-S.)
| | - Fernando Ferreira-Santos
- Laboratory of Neuropsychophysiology, Faculty of Psychology and Education Sciences, University of Porto, 4200-135 Porto, Portugal; (F.B.); (F.F.-S.)
| | - Boštjan Šimunič
- Institute for Kinesiology Research, Science and Research Centre Koper, Garibaldijeva 1, 6000 Koper, Slovenia; (B.Š.); (R.P.); (S.P.)
| | - Rado Pišot
- Institute for Kinesiology Research, Science and Research Centre Koper, Garibaldijeva 1, 6000 Koper, Slovenia; (B.Š.); (R.P.); (S.P.)
| | - Saša Pišot
- Institute for Kinesiology Research, Science and Research Centre Koper, Garibaldijeva 1, 6000 Koper, Slovenia; (B.Š.); (R.P.); (S.P.)
| | - Andrea Gaggioli
- Department of Psychology, Catholic University of the Sacred Heart I UNICATT, 20123 Milano, Italy;
| | - Jürgen Steinacker
- Sports- and Rehabilitation Medicine, Ulm University Hospital, Leimgrubenweg 14, 89075 Ulm, Germany; (S.S.); (A.J.); (J.S.)
| | - Piotr Zmijewski
- Faculty of Physical Education, Jozef Pilsudski University of Physical Education in Warsaw, 00-809 Warsaw, Poland;
| | - Christian Apfelbacher
- Institute for Social Medicine and Health Economy, Otto-Von-Guericke University, 39106 Magdeburg, Germany;
| | - Jordan M. Glenn
- Exercise Science Research Center, Department of Health, Human Performance and Recreation, University of Arkansas, Fayetteville, AR 72701, USA;
| | - Aïmen Khacharem
- UVHC, DeVisu, Valenciennes, LIRTES-EA 7313, Université Paris Est Créteil Val de Marne, 94000 Creteil, France;
| | - Cain C.T. Clark
- Centre for Intelligent Healthcare, Coventry University, Coventry CV1 5FB, UK;
| | - Helmi Ben Saad
- Hôpital Farhat HACHED de Sousse, Laboratoire de Recherche “Insuffisance Cardiaque”, Université de Sousse, Sousse LR12SP09, Tunisie;
| | - Karim Chamari
- ASPETAR, Qatar Orthopaedic and Sports Medicine Hospital, Doha 29222, Qatar;
- Laboratory “Sport Performance Optimization”, (CNMSS), ISSEP Ksar-Said, Manouba University, Manouba 2010, Tunisia
| | - Tarak Driss
- Interdisciplinary Laboratory in Neurosciences, Physiology and Psychology: Physical Activity, Health and Learning (LINP2), UFR STAPS, UPL, Paris Nanterre University, 92000 Nanterre, France;
| | - Anita Hoekelmann
- Institute of Sport Science, Otto-Von-Guericke University, 39106 Magdeburg, Germany;
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Trabelsi K, Ammar A, Masmoudi L, Boukhris O, Chtourou H, Bouaziz B, Brach M, Bentlage E, How D, Ahmed M, Mueller P, Mueller N, Hsouna H, Romdhani M, Hammouda O, Paineiras-Domingos L, Braakman-jansen A, Wrede C, Bastoni S, Pernambuco C, Mataruna-Dos-Santos L, Taheri M, Irandoust K, Khacharem A, Bragazzi N, Strahler J, Washif J, Andreeva A, Bailey S, Acton J, Mitchell E, Bott N, Gargouri F, Chaari L, Batatia H, khoshnami S, Samara E, Zisi V, Sankar P, Ahmed W, Ali G, Abdelkarim O, Jarraya M, Abed K, Moalla W, Souissi N, Aloui A, Souissi N, Gemert-Pijnen L, Riemann B, Riemann L, Delhey J, Gómez-Raja J, Epstein M, Sanderman R, Schulz S, Jerg A, Al-Horani R, Mansi T, Dergaa I, Jmail M, Barbosa F, Ferreira-Santos F, Šimunič B, Pišot R, Pišot S, Gaggioli A, Steinacker J, Zmijewski P, Clark CC, Apfelbacher C, Glenn J, Saad H, Chamari K, Driss T, Hoekelmann A. Globally altered sleep patterns and physical activity levels by confinement in 5056 individuals: ECLB COVID-19 international online survey. Biol Sport 2021. [DOI: 10.5114biolsport.2021.10160510.5114/biolsport.2021.101605] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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Ammar A, Mueller P, Trabelsi K, Chtourou H, Boukhris O, Masmoudi L, Bouaziz B, Brach M, Schmicker M, Bentlage E, How D, Ahmed M, Aloui A, Hammouda O, Paineiras-Domingos LL, Braakman-jansen A, Wrede C, Bastoni S, Pernambuco CS, Mataruna-Dos-Santos LJ, Taheri M, Irandoust K, Khacharem A, Bragazzi NL, Adrian Washif J, Glenn JM, Bott NT, Gargouri F, Chaari L, Batatia H, khoshnami SC, Samara E, Zisi V, Sankar P, Ahmed WN, Ali GM, Abdelkarim O, Jarraya M, El Abed K, Romdhani M, Souissi N, Van Gemert-Pijnen L, Bailey SJ, Moalla W, Gómez-Raja J, Epstein M, Sanderman R, Schulz S, Jerg A, Al-Horani R, Mansi T, Jmail M, Barbosa F, Ferreira-Santos F, Šimunič B, Pišot R, Gaggioli A, Zmijewski P, Steinacker JM, Strahler J, Riemann L, Riemann BL, Mueller N, Chamari K, Driss T, Hoekelmann A. Psychological consequences of COVID-19 home confinement: The ECLB-COVID19 multicenter study. PLoS One 2020; 15:e0240204. [PMID: 33152030 PMCID: PMC7643949 DOI: 10.1371/journal.pone.0240204] [Citation(s) in RCA: 160] [Impact Index Per Article: 40.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Accepted: 09/22/2020] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Public health recommendations and government measures during the COVID-19 pandemic have enforced restrictions on daily-living. While these measures are imperative to abate the spreading of COVID-19, the impact of these restrictions on mental health and emotional wellbeing is undefined. Therefore, an international online survey (ECLB-COVID19) was launched on April 6, 2020 in seven languages to elucidate the impact of COVID-19 restrictions on mental health and emotional wellbeing. METHODS The ECLB-COVID19 electronic survey was designed by a steering group of multidisciplinary scientists, following a structured review of the literature. The survey was uploaded and shared on the Google online-survey-platform and was promoted by thirty-five research organizations from Europe, North-Africa, Western-Asia and the Americas. All participants were asked for their mental wellbeing (SWEMWS) and depressive symptoms (SMFQ) with regard to "during" and "before" home confinement. RESULTS Analysis was conducted on the first 1047 replies (54% women) from Asia (36%), Africa (40%), Europe (21%) and other (3%). The COVID-19 home confinement had a negative effect on both mental-wellbeing and on mood and feelings. Specifically, a significant decrease (p < .001 and Δ% = 9.4%) in total score of the SWEMWS questionnaire was noted. More individuals (+12.89%) reported a low mental wellbeing "during" compared to "before" home confinement. Furthermore, results from the mood and feelings questionnaire showed a significant increase by 44.9% (p < .001) in SMFQ total score with more people (+10%) showing depressive symptoms "during" compared to "before" home confinement. CONCLUSION The ECLB-COVID19 survey revealed an increased psychosocial strain triggered by the home confinement. To mitigate this high risk of mental disorders and to foster an Active and Healthy Confinement Lifestyle (AHCL), a crisis-oriented interdisciplinary intervention is urgently needed.
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Affiliation(s)
- Achraf Ammar
- Institute of Sport Science, Otto-von-Guericke University, Magdeburg, Germany
- Interdisciplinary Laboratory in Neurosciences, Physiology and Psychology: Physical Activity, Health and Learning, UFR STAPS, UPL, Paris Nanterre University, Nanterre, France
| | - Patrick Mueller
- Research Group Neuroprotection, German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Medical Faculty, Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany
| | - Khaled Trabelsi
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax, Tunisia
- Research Laboratory: Education, Motricity, Sport and Health, EM2S, LR19JS01, University of Sfax, Sfax, Tunisia
| | - Hamdi Chtourou
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax, Tunisia
- Physical Activity, Sport, and Health, UR18JS01, National Observatory of Sport, Tunis, Tunisia
| | - Omar Boukhris
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax, Tunisia
- Physical Activity, Sport, and Health, UR18JS01, National Observatory of Sport, Tunis, Tunisia
| | - Liwa Masmoudi
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax, Tunisia
| | - Bassem Bouaziz
- Higher Institute of Computer Science and Multimedia of Sfax, University of Sfax, Sfax, Tunisia
| | - Michael Brach
- Institute of Sport and Exercise Sciences, University of Münster, Münster, Germany
| | - Marlen Schmicker
- Research Group Neuroprotection, German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Ellen Bentlage
- Institute of Sport and Exercise Sciences, University of Münster, Münster, Germany
| | - Daniella How
- Institute of Sport and Exercise Sciences, University of Münster, Münster, Germany
| | - Mona Ahmed
- Institute of Sport and Exercise Sciences, University of Münster, Münster, Germany
| | - Asma Aloui
- Physical Activity, Sport, and Health, UR18JS01, National Observatory of Sport, Tunis, Tunisia
- High Institute of Sport and Physical Education, University of Gafsa, Gafsa, Tunisia
| | - Omar Hammouda
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax, Tunisia
- Research Laboratory, Molecular Bases of Human Pathology, LR12ES17, Faculty of Medicine, University of Sfax, Sfax, Tunisia
| | | | | | - Christian Wrede
- Department of Psychology, Health & Technology, University of Twente, Enschede, The Netherlands
| | - Sophia Bastoni
- Department of Psychology, Health & Technology, University of Twente, Enschede, The Netherlands
- Department of Psychology, Università Cattolica del Sacro Cuore, Milano, Italy
| | | | | | - Morteza Taheri
- Faculty of Social Science, Imam Khomeini International University, Qazvin, Iran
| | - Khadijeh Irandoust
- Faculty of Social Science, Imam Khomeini International University, Qazvin, Iran
| | - Aïmen Khacharem
- UVHC, DeVisu, Valenciennes; LIRTES-EA 7313. Université Paris Est Créteil Val de Marne, Créteil, France
| | - Nicola L. Bragazzi
- Department of Health Sciences, Postgraduate School of Public Health, University of Genoa, Genoa, Italy
- Department of Mathematics and Statistics, Laboratory for Industrial and Applied Mathematics, York University, Toronto, ON, Canada
| | - Jad Adrian Washif
- Sports Performance Division, National Sports Institute of Malaysia, Kuala Lumpur, Malaysia
| | - Jordan M. Glenn
- Exercise Science Research Center, Department of Health, Human Performance and Recreation, University of Arkansas, Fayetteville, Arkansas, United States of America
| | - Nicholas T. Bott
- Clinical Excellence Research Center, Department of Medicine, Stanford University School of Medicine, Stanford, California, United States of America
| | - Faiez Gargouri
- Higher Institute of Computer Science and Multimedia of Sfax, University of Sfax, Sfax, Tunisia
| | - Lotfi Chaari
- Computer Science Department, University of Toulouse, IRIT-INP-ENSEEIHT, Toulouse, France
| | - Hadj Batatia
- Computer Science Department, University of Toulouse, IRIT-INP-ENSEEIHT, Toulouse, France
| | | | | | - Vasiliki Zisi
- Department of Physical Education and Sports Sciences, University of Thessaly, Volos, Greece
| | - Parasanth Sankar
- Consultant in Internal Medicine and Diabetes, MGM Muthoot Hospitals Pathanamthitta, Pathanamthitta, Kerala, India
| | - Waseem N. Ahmed
- Consultant Family Physician, CRAFT Hospital and Research Centre, Kodungallur, Kerala, India
| | | | - Osama Abdelkarim
- Faculty of Physical Education, Assiut University, Assiut, Egypt
- Institute for Sports and Sports Science, Karlsruher Institut für Technologie, Karlsruher, Germany
| | - Mohamed Jarraya
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax, Tunisia
| | - Kais El Abed
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax, Tunisia
| | - Mohamed Romdhani
- Physical Activity, Sport, and Health, UR18JS01, National Observatory of Sport, Tunis, Tunisia
| | - Nizar Souissi
- Physical Activity, Sport, and Health, UR18JS01, National Observatory of Sport, Tunis, Tunisia
| | | | - Stephen J. Bailey
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, United Kingdom
| | - Wassim Moalla
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax, Tunisia
| | - Jonathan Gómez-Raja
- FundeSalud, Dept. of Health and Social Services, Government of Extremadura, Merida, Spain
| | | | - Robbert Sanderman
- Department of Health Psychology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Sebastian Schulz
- Sports- and Rehabilitation Medicine, Ulm University Hospital, Ulm, Germany
| | - Achim Jerg
- Sports- and Rehabilitation Medicine, Ulm University Hospital, Ulm, Germany
| | - Ramzi Al-Horani
- Department of Exercise Science, Yarmouk University, Irbid, Jordan
| | - Taysir Mansi
- Faculty of Physical Education, The University of Jordan, Amman, Jordan
| | | | - Fernando Barbosa
- Laboratory of Neuropsychophysiology, Faculty of Psychology and Education Sciences, University of Porto, Porto, Portugal
| | - Fernando Ferreira-Santos
- Laboratory of Neuropsychophysiology, Faculty of Psychology and Education Sciences, University of Porto, Porto, Portugal
| | - Boštjan Šimunič
- Institute for Kinesiology Research, Science and Research Centre Koper, Koper, Slovenia
| | - Rado Pišot
- Institute for Kinesiology Research, Science and Research Centre Koper, Koper, Slovenia
| | - Andrea Gaggioli
- Department of Psychology, Università Cattolica del Sacro Cuore, Milan, Italy
- I.R.C.C.S. Istituto Auxologico Italiano, Milan, Italy
| | - Piotr Zmijewski
- Jozef Pilsudski University of Physical Education in Warsaw, Warsaw, Poland
| | | | - Jana Strahler
- Department of Psychology and Sport Science, University of Gießen, Gießen, Germany
| | - Laurel Riemann
- PharmD, BCBS; PharmIAD, Inc, Savannah, GA, United States of America
| | - Bryan L. Riemann
- Department of Health Sciences and Kinesiology, Georgia Southern University, Statesboro, GA, United States of America
| | - Notger Mueller
- Research Group Neuroprotection, German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Medical Faculty, Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany
| | - Karim Chamari
- ASPETAR, Qatar Orthopaedic and Sports Medicine Hospital, Doha, Qatar
- Laboratory ''Sport Performance Optimization'', ISSEP Ksar-Said, Manouba University, Manouba, Tunisia
| | - Tarak Driss
- Interdisciplinary Laboratory in Neurosciences, Physiology and Psychology: Physical Activity, Health and Learning, UFR STAPS, UPL, Paris Nanterre University, Nanterre, France
| | - Anita Hoekelmann
- Institute of Sport Science, Otto-von-Guericke University, Magdeburg, Germany
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4
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Ammar A, Chtourou H, Boukhris O, Trabelsi K, Masmoudi L, Brach M, Bouaziz B, Bentlage E, How D, Ahmed M, Mueller P, Mueller N, Hsouna H, Aloui A, Hammouda O, Paineiras-Domingos LL, Braakman-Jansen A, Wrede C, Bastoni S, Pernambuco CS, Mataruna-Dos-Santos LJ, Taheri M, Irandoust K, Khacharem A, Bragazzi NL, Strahler J, Washif JA, Andreeva A, khoshnami SC, Samara E, Zisi V, Sankar P, Ahmed WN, Romdhani M, Delhey J, Bailey SJ, Bott NT, Gargouri F, Chaari L, Batatia H, Ali GM, Abdelkarim O, Jarraya M, Abed KE, Souissi N, Gemert-Pijnen LV, Riemann BL, Riemann L, Moalla W, Gómez-Raja J, Epstein M, Sanderman R, Schulz S, Jerg A, Al-Horani R, Mansi T, Jmail M, Barbosa F, Ferreira-Santos F, Šimunič B, Pišot R, Pišot S, Gaggioli A, Zmijewski P, Apfelbacher C, Steinacker J, Saad HB, Glenn JM, Chamari K, Driss T, Hoekelmann A. COVID-19 Home Confinement Negatively Impacts Social Participation and Life Satisfaction: A Worldwide Multicenter Study. Int J Environ Res Public Health 2020; 17:E6237. [PMID: 32867287 PMCID: PMC7503681 DOI: 10.3390/ijerph17176237] [Citation(s) in RCA: 228] [Impact Index Per Article: 57.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 08/24/2020] [Accepted: 08/25/2020] [Indexed: 12/14/2022]
Abstract
Public health recommendations and governmental measures during the new coronavirus disease (COVID-19) pandemic have enforced numerous restrictions on daily living including social distancing, isolation, and home confinement. While these measures are imperative to mitigate spreading of COVID-19, the impact of these restrictions on psychosocial health is undefined. Therefore, an international online survey was launched in April 2020 to elucidate the behavioral and lifestyle consequences of COVID-19 restrictions. This report presents the preliminary results from more than one thousand responders on social participation and life satisfaction. METHODS Thirty-five research organizations from Europe, North-Africa, Western Asia, and the Americas promoted the survey through their networks to the general society, in 7 languages (English, German, French, Arabic, Spanish, Portuguese, and Slovenian). Questions were presented in a differential format with questions related to responses "before" and "during" confinement conditions. RESULTS 1047 participations (54% women) from Asia (36%), Africa (40%), Europe (21%), and others (3%) were included in the analysis. Findings revealed psychosocial strain during the enforced COVID-19 home confinement. Large decreases (p < 0.001) in the amount of social activity through family (-58%), friends/neighbors (-44.9%), or entertainment (-46.7%) were triggered by the enforced confinement. These negative effects on social participation were also associated with lower life satisfaction (-30.5%) during the confinement period. Conversely, the social contact score through digital technologies significantly increased (p < 0.001) during the confinement period with more individuals (+24.8%) being socially connected through digital technology. CONCLUSION These preliminary findings elucidate the risk of psychosocial strain during the early COVID-19 home confinement period in 2020. Therefore, in order to mitigate the negative psychosocial effects of home confinement, implementation of national strategies focused on promoting social inclusion through a technology-based solution is strongly suggested.
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Affiliation(s)
- Achraf Ammar
- Institute of Sport Science, Otto-von-Guericke University, 39106 Magdeburg, Germany;
- Research Laboratory, Molecular Bases of Human Pathology, LR12ES17, Faculty of Medicine, University of Sfax, Sfax 3000, Tunisia;
| | - Hamdi Chtourou
- Research Unit: Physical Activity, Sport, and Health, UR18JS01, National Observatory of Sport, Tunis 1003, Tunisia; (H.C.); (O.B.); (H.H.); (A.A.); (M.R.); (N.S.)
- High Institute of Sport and Physical Education of Sfax, Sfax 3000, Tunisia; (K.T.); (L.M.); (M.J.); (K.E.A.); (W.M.)
| | - Omar Boukhris
- Research Unit: Physical Activity, Sport, and Health, UR18JS01, National Observatory of Sport, Tunis 1003, Tunisia; (H.C.); (O.B.); (H.H.); (A.A.); (M.R.); (N.S.)
- High Institute of Sport and Physical Education of Sfax, Sfax 3000, Tunisia; (K.T.); (L.M.); (M.J.); (K.E.A.); (W.M.)
| | - Khaled Trabelsi
- High Institute of Sport and Physical Education of Sfax, Sfax 3000, Tunisia; (K.T.); (L.M.); (M.J.); (K.E.A.); (W.M.)
- Research Laboratory: Education, Motricity, Sport and Health, EM2S, LR19JS01, Sfax 3000, Tunisia
| | - Liwa Masmoudi
- High Institute of Sport and Physical Education of Sfax, Sfax 3000, Tunisia; (K.T.); (L.M.); (M.J.); (K.E.A.); (W.M.)
| | - Michael Brach
- Institute of Sport and Exercise Sciences, University of Münster, 48149 Münster, Germany; (M.B.); (E.B.); (D.H.); (M.A.)
| | - Bassem Bouaziz
- Higher Institute of Computer Science and Multimedia of Sfax, Sfax 3000, Tunisia; (B.B.); (F.G.)
| | - Ellen Bentlage
- Institute of Sport and Exercise Sciences, University of Münster, 48149 Münster, Germany; (M.B.); (E.B.); (D.H.); (M.A.)
| | - Daniella How
- Institute of Sport and Exercise Sciences, University of Münster, 48149 Münster, Germany; (M.B.); (E.B.); (D.H.); (M.A.)
| | - Mona Ahmed
- Institute of Sport and Exercise Sciences, University of Münster, 48149 Münster, Germany; (M.B.); (E.B.); (D.H.); (M.A.)
| | - Patrick Mueller
- Research Group Neuroprotection, German Center for Neurodegenerative Diseases (DZNE), Leipziger Str. 44, 39120 Magdeburg, Germany; (P.M.); (N.M.)
- Medical Faculty, Department of Neurology, Otto-von-Guericke University, Leipziger Str. 44, 39120 Magdeburg, Germany
| | - Notger Mueller
- Research Group Neuroprotection, German Center for Neurodegenerative Diseases (DZNE), Leipziger Str. 44, 39120 Magdeburg, Germany; (P.M.); (N.M.)
- Medical Faculty, Department of Neurology, Otto-von-Guericke University, Leipziger Str. 44, 39120 Magdeburg, Germany
| | - Hsen Hsouna
- Research Unit: Physical Activity, Sport, and Health, UR18JS01, National Observatory of Sport, Tunis 1003, Tunisia; (H.C.); (O.B.); (H.H.); (A.A.); (M.R.); (N.S.)
- High Institute of Sport and Physical Education of Sfax, Sfax 3000, Tunisia; (K.T.); (L.M.); (M.J.); (K.E.A.); (W.M.)
| | - Asma Aloui
- Research Unit: Physical Activity, Sport, and Health, UR18JS01, National Observatory of Sport, Tunis 1003, Tunisia; (H.C.); (O.B.); (H.H.); (A.A.); (M.R.); (N.S.)
- High Institute of Sport and Physical Education, University of Gafsa, Gafsa 2112, Tunisia
| | - Omar Hammouda
- Research Laboratory, Molecular Bases of Human Pathology, LR12ES17, Faculty of Medicine, University of Sfax, Sfax 3000, Tunisia;
| | - Laisa Liane Paineiras-Domingos
- Programa de Pós-graduação em Ciências Médicas, Faculdade de Ciências Médicas, Universidade do Estado do Rio de Janeiro, Rio de Janeiro 20550-170, Brazil;
- Departamento de Fisioterapia, Faculdade Bezerra de Araújo, Rio de Janeiro 23052-180, Brazil
| | - Annemarie Braakman-Jansen
- Department of Psychology, Health & Technology, University of Twente, 7522 Enschede, The Netherlands; (A.B.-J.); (C.W.); (S.B.); (L.V.G.-P.)
| | - Christian Wrede
- Department of Psychology, Health & Technology, University of Twente, 7522 Enschede, The Netherlands; (A.B.-J.); (C.W.); (S.B.); (L.V.G.-P.)
| | - Sophia Bastoni
- Department of Psychology, Health & Technology, University of Twente, 7522 Enschede, The Netherlands; (A.B.-J.); (C.W.); (S.B.); (L.V.G.-P.)
- Department of Psychology, Università Cattolica del Sacro Cuore, 20123 Milan, Italy;
| | - Carlos Soares Pernambuco
- Laboratório de Fisiologia do Exercício, Estácio de Sá University, Rio de Janeiro 20261-063, Brazil;
| | - Leonardo Jose Mataruna-Dos-Santos
- Department of Sport Management, Faculty of Management, Canadian University of Dubai, 1st Interchange Sheikh Zayed Rd, Dubai, UAE PO Box 117781, UAE;
| | - Morteza Taheri
- Faculty of Social Science, Imam Khomeini International University, Qazvin 34148-96818, Iran; (M.T.); (K.I.)
| | - Khadijeh Irandoust
- Faculty of Social Science, Imam Khomeini International University, Qazvin 34148-96818, Iran; (M.T.); (K.I.)
| | - Aïmen Khacharem
- UVHC, DeVisu, Valenciennes, LIRTES-EA 7313, Université Paris Est Créteil Val de Marne, 94000 Créteil, France;
| | - Nicola L. Bragazzi
- Department of Health Sciences (DISSAL), Postgraduate School of Public Health, University of Genoa, 16132 Genoa, Italy;
- Laboratory for Industrial and Applied Mathematics (LIAM), Department of Mathematics and Statistics, York University, 4700 Keele Street, Toronto, ON M3J 1P3, Canada
| | - Jana Strahler
- Department of Psychology and Sport Science, University of Gießen, 35394 Gießen, Germany;
| | - Jad Adrian Washif
- Sports Performance Division, National Sports Institute of Malaysia, Kuala Lumpur 57000, Malaysia;
| | - Albina Andreeva
- Department of Sports Biomechanics, Moscow Center of Advanced Sport Technologies, 129272 Moscow, Russia;
| | | | | | - Vasiliki Zisi
- Department of Physical Education and Sports Sciences, University of Thessaly, 382 21 Volos, Greece;
| | - Parasanth Sankar
- Consultant in Internal Medicine and Diabetes, MGM Muthoot Hospitals Pathanamthitta, Kerala 689645, India;
| | - Waseem N. Ahmed
- Consultant Family Physician, CRAFT Hospital and Research Centre, Kodungallur, Kerala 680664, India;
| | - Mohamed Romdhani
- Research Unit: Physical Activity, Sport, and Health, UR18JS01, National Observatory of Sport, Tunis 1003, Tunisia; (H.C.); (O.B.); (H.H.); (A.A.); (M.R.); (N.S.)
| | - Jan Delhey
- Institute of Social Science, Otto-von-Guericke University, 39106 Magdeburg, Germany;
| | - Stephen J. Bailey
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough E11 3TU, UK;
| | - Nicholas T. Bott
- Clinical Excellence Research Center, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA;
| | - Faiez Gargouri
- Higher Institute of Computer Science and Multimedia of Sfax, Sfax 3000, Tunisia; (B.B.); (F.G.)
| | - Lotfi Chaari
- Computer Science Department, University of Toulouse, IRIT-INP-ENSEEIHT (UMR 5505), BP 7122 Toulouse, France; (L.C.); (H.B.)
| | - Hadj Batatia
- Computer Science Department, University of Toulouse, IRIT-INP-ENSEEIHT (UMR 5505), BP 7122 Toulouse, France; (L.C.); (H.B.)
| | - Gamal Mohamed Ali
- Faculty of Physical Education, Assiut University, Assiut 71515, Egypt; (G.M.A.); (O.A.)
| | - Osama Abdelkarim
- Faculty of Physical Education, Assiut University, Assiut 71515, Egypt; (G.M.A.); (O.A.)
- Institute for Sports and Sports Science, Karlsruher Institut für Technologie, 76131 Karlsruher, Germany
| | - Mohamed Jarraya
- High Institute of Sport and Physical Education of Sfax, Sfax 3000, Tunisia; (K.T.); (L.M.); (M.J.); (K.E.A.); (W.M.)
| | - Kais El Abed
- High Institute of Sport and Physical Education of Sfax, Sfax 3000, Tunisia; (K.T.); (L.M.); (M.J.); (K.E.A.); (W.M.)
| | - Nizar Souissi
- Research Unit: Physical Activity, Sport, and Health, UR18JS01, National Observatory of Sport, Tunis 1003, Tunisia; (H.C.); (O.B.); (H.H.); (A.A.); (M.R.); (N.S.)
| | - Lisette Van Gemert-Pijnen
- Department of Psychology, Health & Technology, University of Twente, 7522 Enschede, The Netherlands; (A.B.-J.); (C.W.); (S.B.); (L.V.G.-P.)
| | - Bryan L. Riemann
- Department of Health Sciences and Kinesiology, Georgia Southern University, Statesboro, GA 30458, USA;
| | | | - Wassim Moalla
- High Institute of Sport and Physical Education of Sfax, Sfax 3000, Tunisia; (K.T.); (L.M.); (M.J.); (K.E.A.); (W.M.)
| | - Jonathan Gómez-Raja
- FundeSalud, Dept. of Health and Social Services, Government of Extremadura, 06800 Merida, Spain;
| | | | - Robbert Sanderman
- Department of Health Psychology, University Medical Center Groningen, University of Groningen, 9712 Groningen, The Netherlands;
| | - Sebastian Schulz
- Sports and Rehabilitation Medicine, Ulm University Hospital, Leimgrubenweg 14, 89075 Ulm, Germany; (S.S.); (A.J.); (J.S.)
| | - Achim Jerg
- Sports and Rehabilitation Medicine, Ulm University Hospital, Leimgrubenweg 14, 89075 Ulm, Germany; (S.S.); (A.J.); (J.S.)
| | - Ramzi Al-Horani
- Department of Exercise Science, Yarmouk University, Irbid 21163, Jordan;
| | - Taiysir Mansi
- Faculty of Physical Education, The University of Jordan, Amman 11942, Jordan;
| | - Mohamed Jmail
- Digital Research Centre of Sfax, Sfax 3000, Tunisia;
| | - Fernando Barbosa
- Laboratory of Neuropsychophysiology, Faculty of Psychology and Education Sciences, University of Porto, 4200-135 Porto, Portugal;
| | | | - Boštjan Šimunič
- Institute for Kinesiology Research, Science and Research Centre Koper, Garibaldijeva 1, 6000 Koper, Slovenia; (B.Š.); (R.P.); (S.P.)
| | - Rado Pišot
- Institute for Kinesiology Research, Science and Research Centre Koper, Garibaldijeva 1, 6000 Koper, Slovenia; (B.Š.); (R.P.); (S.P.)
| | - Saša Pišot
- Institute for Kinesiology Research, Science and Research Centre Koper, Garibaldijeva 1, 6000 Koper, Slovenia; (B.Š.); (R.P.); (S.P.)
| | - Andrea Gaggioli
- Department of Psychology, Università Cattolica del Sacro Cuore, 20123 Milan, Italy;
- Applied Technology for Neuro-Psychology Lab, I.R.C.C.S. Istituto Auxologico Italiano, 20149 Milan, Italy
| | - Piotr Zmijewski
- Jozef Pilsudski University of Physical Education in Warsaw, 00-809 Warsaw, Poland;
| | - Christian Apfelbacher
- Institute for Social Medicine and Health Economy, Otto-von-Guericke University, 39106 Magdeburg, Germany;
| | - Jürgen Steinacker
- Sports and Rehabilitation Medicine, Ulm University Hospital, Leimgrubenweg 14, 89075 Ulm, Germany; (S.S.); (A.J.); (J.S.)
| | - Helmi Ben Saad
- Hôpital Farhat Hached de Sousse, Laboratoire de Recherche “Insuffisance Cardiaque’’, Université de Sousse, Sousse LR12SP09, Tunisie;
| | - Jordan M. Glenn
- Exercise Science Research Center, Department of Health, Human Performance and Recreation, University of Arkansas, Fayetteville, AR 72701, USA;
| | - Karim Chamari
- ASPETAR, Qatar Orthopaedic and Sports Medicine Hospital, Doha, Qatar and Laboratory “Sport Performance Optimization”, (CNMSS), ISSEP Ksar-Said, Manouba University, 2010 Manouba, Tunisia;
| | - Tarak Driss
- Interdisciplinary Laboratory in Neurosciences, Physiology and Psychology: Physical Activity, Health and Learning (LINP2-2APS), UFR STAPS, UPL, Paris Nanterre University, 92000 Nanterre, France;
| | - Anita Hoekelmann
- Institute of Sport Science, Otto-von-Guericke University, 39106 Magdeburg, Germany;
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5
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Ammar A, Brach M, Trabelsi K, Chtourou H, Boukhris O, Masmoudi L, Bouaziz B, Bentlage E, How D, Ahmed M, Müller P, Müller N, Aloui A, Hammouda O, Paineiras-Domingos LL, Braakman-Jansen A, Wrede C, Bastoni S, Pernambuco CS, Mataruna L, Taheri M, Irandoust K, Khacharem A, Bragazzi NL, Chamari K, Glenn JM, Bott NT, Gargouri F, Chaari L, Batatia H, Ali GM, Abdelkarim O, Jarraya M, Abed KE, Souissi N, Van Gemert-Pijnen L, Riemann BL, Riemann L, Moalla W, Gómez-Raja J, Epstein M, Sanderman R, Schulz SV, Jerg A, Al-Horani R, Mansi T, Jmail M, Barbosa F, Ferreira-Santos F, Šimunič B, Pišot R, Gaggioli A, Bailey SJ, Steinacker JM, Driss T, Hoekelmann A. Effects of COVID-19 Home Confinement on Eating Behaviour and Physical Activity: Results of the ECLB-COVID19 International Online Survey. Nutrients 2020. [PMID: 32481594 DOI: 10.1101/2020.05.05.20091066] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/24/2023] Open
Abstract
BACKGROUND Public health recommendations and governmental measures during the COVID-19 pandemic have resulted in numerous restrictions on daily living including social distancing, isolation and home confinement. While these measures are imperative to abate the spreading of COVID-19, the impact of these restrictions on health behaviours and lifestyles at home is undefined. Therefore, an international online survey was launched in April 2020, in seven languages, to elucidate the behavioural and lifestyle consequences of COVID-19 restrictions. This report presents the results from the first thousand responders on physical activity (PA) and nutrition behaviours. METHODS Following a structured review of the literature, the "Effects of home Confinement on multiple Lifestyle Behaviours during the COVID-19 outbreak (ECLB-COVID19)" Electronic survey was designed by a steering group of multidisciplinary scientists and academics. The survey was uploaded and shared on the Google online survey platform. Thirty-five research organisations from Europe, North-Africa, Western Asia and the Americas promoted the survey in English, German, French, Arabic, Spanish, Portuguese and Slovenian languages. Questions were presented in a differential format, with questions related to responses "before" and "during" confinement conditions. RESULTS 1047 replies (54% women) from Asia (36%), Africa (40%), Europe (21%) and other (3%) were included in the analysis. The COVID-19 home confinement had a negative effect on all PA intensity levels (vigorous, moderate, walking and overall). Additionally, daily sitting time increased from 5 to 8 h per day. Food consumption and meal patterns (the type of food, eating out of control, snacks between meals, number of main meals) were more unhealthy during confinement, with only alcohol binge drinking decreasing significantly. CONCLUSION While isolation is a necessary measure to protect public health, results indicate that it alters physical activity and eating behaviours in a health compromising direction. A more detailed analysis of survey data will allow for a segregation of these responses in different age groups, countries and other subgroups, which will help develop interventions to mitigate the negative lifestyle behaviours that have manifested during the COVID-19 confinement.
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Affiliation(s)
- Achraf Ammar
- Institute of Sport Science, Otto-von-Guericke University, 39106 Magdeburg, Germany
- Research Laboratory, Molecular Bases of Human Pathology, LR12ES17, Faculty of Medicine, University of Sfax, Sfax 3000, Tunisia
| | - Michael Brach
- Institute of Sport and Exercise Sciences, University of Münster, 48149 Münster, Germany
| | - Khaled Trabelsi
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax 3000, Tunisia
- Research Laboratory: Education, Motricity, Sport and Health, EM2S, LR19JS01, University of Sfax, Sfax 3000, Tunisia
| | - Hamdi Chtourou
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax 3000, Tunisia
- Research Unit: Physical Activity, Sport, and Health, UR18JS01, National Observatory of Sport, Tunis 1003, Tunisia
| | - Omar Boukhris
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax 3000, Tunisia
- Research Unit: Physical Activity, Sport, and Health, UR18JS01, National Observatory of Sport, Tunis 1003, Tunisia
| | - Liwa Masmoudi
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax 3000, Tunisia
| | - Bassem Bouaziz
- Higher Institute of Computer Science and Multimedia of Sfax, University of Sfax, Sfax 3000, Tunisia
| | - Ellen Bentlage
- Institute of Sport and Exercise Sciences, University of Münster, 48149 Münster, Germany
| | - Daniella How
- Institute of Sport and Exercise Sciences, University of Münster, 48149 Münster, Germany
| | - Mona Ahmed
- Institute of Sport and Exercise Sciences, University of Münster, 48149 Münster, Germany
| | - Patrick Müller
- Research Group Neuroprotection, German Center for Neurodegenerative Diseases (DZNE), Leipziger Str. 44, 39120 Magdeburg, Germany
- Medical Faculty, Department of Neurology, Otto-von-Guericke University, Leipziger Str. 44, 39120 Magdeburg, Germany
| | - Notger Müller
- Research Group Neuroprotection, German Center for Neurodegenerative Diseases (DZNE), Leipziger Str. 44, 39120 Magdeburg, Germany
- Medical Faculty, Department of Neurology, Otto-von-Guericke University, Leipziger Str. 44, 39120 Magdeburg, Germany
| | - Asma Aloui
- Research Unit: Physical Activity, Sport, and Health, UR18JS01, National Observatory of Sport, Tunis 1003, Tunisia
- High Institute of Sport and Physical Education, University of Gafsa, Gafsa 2112, Tunisia
| | - Omar Hammouda
- Research Laboratory, Molecular Bases of Human Pathology, LR12ES17, Faculty of Medicine, University of Sfax, Sfax 3000, Tunisia
| | - Laisa Liane Paineiras-Domingos
- Laboratório de Vibrações Mecânicas e Práticas Integrativas, LAVIMPI-UERJ, Universidade do Estado do Rio de Janeiro, Rio de Janeiro RJ 20950-003, Brazil
- Faculdade Bezerra de Araújo, Rio de Janeiro Rj 23052-180, Brazil
| | | | - Christian Wrede
- Department of Psychology, Health & Technology, University of Twente, 7522 Enschede, The Netherlands
| | - Sofia Bastoni
- Department of Psychology, Health & Technology, University of Twente, 7522 Enschede, The Netherlands
- Department of Psychology, Università Cattolica del Sacro Cuore, 20123 Milano, Italy
| | - Carlos Soares Pernambuco
- Laboratório de Fisiologia do Exercício, Estácio de Sá University, Rio de Janeiro 20261-063, Brazil
| | - Leonardo Mataruna
- College of Business Administration, American University in the Emirates, 503000-Dubai Academic City, Dubai, UAE
| | - Morteza Taheri
- Faculty of social science, Imam Khomeini International University, Qazvin 34148-96818, Iran
| | - Khadijeh Irandoust
- Faculty of social science, Imam Khomeini International University, Qazvin 34148-96818, Iran
| | - Aïmen Khacharem
- UVHC, DeVisu, Valenciennes, LIRTES-EA 7313, Université Paris Est Créteil Val de Marne, 94000 Créteil, France
| | - Nicola L Bragazzi
- Department of Health Sciences (DISSAL), Postgraduate School of Public Health, University of Genoa, 16132 Genoa, Italy
- Laboratory for Industrial and Applied Mathematics (LIAM), Department of Mathematics and Statistics, York University, 4700 Keele Street, Toronto, ON M3J 1P3, Canada
| | - Karim Chamari
- ASPETAR, Qatar Orthopaedic and Sports Medicine Hospital, Doha 29222, Qatar
- Laboratory "Sport Performance Optimization", (CNMSS), ISSEP Ksar-Said, Manouba University, Manouba 2010, Tunisia
| | - Jordan M Glenn
- Exercise Science Research Center, Department of Health, Human Performance and Recreation, University of Arkansas, Fayetteville, AR 72701, USA
| | - Nicholas T Bott
- Clinical Excellence Research Center, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Faiez Gargouri
- Higher Institute of Computer Science and Multimedia of Sfax, University of Sfax, Sfax 3000, Tunisia
| | - Lotfi Chaari
- Computer science department, University of Toulouse, IRIT-INP-ENSEEIHT (UMR 5505), BP 7122, Toulouse, France
| | - Hadj Batatia
- Computer science department, University of Toulouse, IRIT-INP-ENSEEIHT (UMR 5505), BP 7122, Toulouse, France
| | - Gamal Mohamed Ali
- Faculty of Physical Education, Assiut University, Assiut 71515, Egypt
| | - Osama Abdelkarim
- Faculty of Physical Education, Assiut University, Assiut 71515, Egypt
- Institute for Sports and Sports Science, Karlsruher Institut für Technologie, 76131 Karlsruher, Germany
| | - Mohamed Jarraya
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax 3000, Tunisia
| | - Kais El Abed
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax 3000, Tunisia
| | - Nizar Souissi
- Research Unit: Physical Activity, Sport, and Health, UR18JS01, National Observatory of Sport, Tunis 1003, Tunisia
| | | | - Bryan L Riemann
- Department of Health Sciences and Kinesiology, Georgia Southern University, Statesboro, GA 30458, USA
| | | | - Wassim Moalla
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax 3000, Tunisia
| | - Jonathan Gómez-Raja
- FundeSalud, Dept. of Health and Social Services, Government of Extremadura, 06800 Merida, Spain
| | | | - Robbert Sanderman
- Department of Health Psychology, University Medical Center Groningen, University of Groningen, 9712 Groningen, The Netherlands
| | - Sebastian Vw Schulz
- Sports- and Rehabilitation Medicine, Ulm University Hospital, Leimgrubenweg 14, 89075 Ulm, Germany
| | - Achim Jerg
- Sports- and Rehabilitation Medicine, Ulm University Hospital, Leimgrubenweg 14, 89075 Ulm, Germany
| | - Ramzi Al-Horani
- Department of Exercise Science, Yarmouk University, Irbid 21163, Jordan
| | - Taiysir Mansi
- Faculty of Physical Education, The University of Jordan, Amman 11942, Jordan
| | | | - Fernando Barbosa
- Laboratory of Neuropsychophysiology, Faculty of Psychology and Education Sciences, University of Porto, 4200-135 Porto, Portugal
| | - Fernando Ferreira-Santos
- Laboratory of Neuropsychophysiology, Faculty of Psychology and Education Sciences, University of Porto, 4200-135 Porto, Portugal
| | - Boštjan Šimunič
- Institute for Kinesiology Research, Science and Research Centre Koper, Garibaldijeva 1, 6000 Koper, Slovenia
| | - Rado Pišot
- Institute for Kinesiology Research, Science and Research Centre Koper, Garibaldijeva 1, 6000 Koper, Slovenia
| | - Andrea Gaggioli
- Department of Psychology, Università Cattolica del Sacro Cuore, 20123 Milano, Italy
- Applied Technology for Neuro-Psychology Lab, I.R.C.C.S. Istituto Auxologico Italiano, 20149 Milan, Italy
| | - Stephen J Bailey
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough E11 3TU, UK
| | - Jürgen M Steinacker
- Sports- and Rehabilitation Medicine, Ulm University Hospital, Leimgrubenweg 14, 89075 Ulm, Germany
| | - Tarak Driss
- Interdisciplinary Laboratory in Neurosciences, Physiology and Psychology: Physical Activity, Health and Learning (LINP2-2APS), UFR STAPS, UPL, Paris Nanterre University, 92000 Nanterre, France
| | - Anita Hoekelmann
- Institute of Sport Science, Otto-von-Guericke University, 39106 Magdeburg, Germany
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6
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Ammar A, Brach M, Trabelsi K, Chtourou H, Boukhris O, Masmoudi L, Bouaziz B, Bentlage E, How D, Ahmed M, Müller P, Müller N, Aloui A, Hammouda O, Paineiras-Domingos LL, Braakman-Jansen A, Wrede C, Bastoni S, Pernambuco CS, Mataruna L, Taheri M, Irandoust K, Khacharem A, Bragazzi NL, Chamari K, Glenn JM, Bott NT, Gargouri F, Chaari L, Batatia H, Ali GM, Abdelkarim O, Jarraya M, El Abed K, Souissi N, Van Gemert-Pijnen L, Riemann BL, Riemann L, Moalla W, Gómez-Raja J, Epstein M, Sanderman R, Schulz SVW, Jerg A, Al-Horani R, Mansi T, Jmail M, Barbosa F, Ferreira-Santos F, Šimunič B, Pišot R, Gaggioli A, Bailey SJ, Steinacker JM, Driss T, Hoekelmann A. Effects of COVID-19 Home Confinement on Eating Behaviour and Physical Activity: Results of the ECLB-COVID19 International Online Survey. Nutrients 2020; 12:E1583. [PMID: 32481594 PMCID: PMC7352706 DOI: 10.3390/nu12061583] [Citation(s) in RCA: 1113] [Impact Index Per Article: 278.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 05/22/2020] [Accepted: 05/25/2020] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Public health recommendations and governmental measures during the COVID-19 pandemic have resulted in numerous restrictions on daily living including social distancing, isolation and home confinement. While these measures are imperative to abate the spreading of COVID-19, the impact of these restrictions on health behaviours and lifestyles at home is undefined. Therefore, an international online survey was launched in April 2020, in seven languages, to elucidate the behavioural and lifestyle consequences of COVID-19 restrictions. This report presents the results from the first thousand responders on physical activity (PA) and nutrition behaviours. METHODS Following a structured review of the literature, the "Effects of home Confinement on multiple Lifestyle Behaviours during the COVID-19 outbreak (ECLB-COVID19)" Electronic survey was designed by a steering group of multidisciplinary scientists and academics. The survey was uploaded and shared on the Google online survey platform. Thirty-five research organisations from Europe, North-Africa, Western Asia and the Americas promoted the survey in English, German, French, Arabic, Spanish, Portuguese and Slovenian languages. Questions were presented in a differential format, with questions related to responses "before" and "during" confinement conditions. RESULTS 1047 replies (54% women) from Asia (36%), Africa (40%), Europe (21%) and other (3%) were included in the analysis. The COVID-19 home confinement had a negative effect on all PA intensity levels (vigorous, moderate, walking and overall). Additionally, daily sitting time increased from 5 to 8 h per day. Food consumption and meal patterns (the type of food, eating out of control, snacks between meals, number of main meals) were more unhealthy during confinement, with only alcohol binge drinking decreasing significantly. CONCLUSION While isolation is a necessary measure to protect public health, results indicate that it alters physical activity and eating behaviours in a health compromising direction. A more detailed analysis of survey data will allow for a segregation of these responses in different age groups, countries and other subgroups, which will help develop interventions to mitigate the negative lifestyle behaviours that have manifested during the COVID-19 confinement.
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Affiliation(s)
- Achraf Ammar
- Institute of Sport Science, Otto-von-Guericke University, 39106 Magdeburg, Germany; (A.H.)
- Research Laboratory, Molecular Bases of Human Pathology, LR12ES17, Faculty of Medicine, University of Sfax, Sfax 3000, Tunisia;
| | - Michael Brach
- Institute of Sport and Exercise Sciences, University of Münster, 48149 Münster, Germany; (M.B.); (E.B.); (D.H.); (M.A.)
| | - Khaled Trabelsi
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax 3000, Tunisia; (K.T.); (L.M.); (M.J.); (K.E.A.); (W.M.)
- Research Laboratory: Education, Motricity, Sport and Health, EM2S, LR19JS01, University of Sfax, Sfax 3000, Tunisia
| | - Hamdi Chtourou
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax 3000, Tunisia; (K.T.); (L.M.); (M.J.); (K.E.A.); (W.M.)
- Research Unit: Physical Activity, Sport, and Health, UR18JS01, National Observatory of Sport, Tunis 1003, Tunisia; (H.C.); (O.B.); (A.A.); (N.S.)
| | - Omar Boukhris
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax 3000, Tunisia; (K.T.); (L.M.); (M.J.); (K.E.A.); (W.M.)
- Research Unit: Physical Activity, Sport, and Health, UR18JS01, National Observatory of Sport, Tunis 1003, Tunisia; (H.C.); (O.B.); (A.A.); (N.S.)
| | - Liwa Masmoudi
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax 3000, Tunisia; (K.T.); (L.M.); (M.J.); (K.E.A.); (W.M.)
| | - Bassem Bouaziz
- Higher Institute of Computer Science and Multimedia of Sfax, University of Sfax, Sfax 3000, Tunisia; (B.B.); (F.G.)
| | - Ellen Bentlage
- Institute of Sport and Exercise Sciences, University of Münster, 48149 Münster, Germany; (M.B.); (E.B.); (D.H.); (M.A.)
| | - Daniella How
- Institute of Sport and Exercise Sciences, University of Münster, 48149 Münster, Germany; (M.B.); (E.B.); (D.H.); (M.A.)
| | - Mona Ahmed
- Institute of Sport and Exercise Sciences, University of Münster, 48149 Münster, Germany; (M.B.); (E.B.); (D.H.); (M.A.)
| | - Patrick Müller
- Research Group Neuroprotection, German Center for Neurodegenerative Diseases (DZNE), Leipziger Str. 44, 39120 Magdeburg, Germany; (P.M.); (N.M.)
- Medical Faculty, Department of Neurology, Otto-von-Guericke University, Leipziger Str. 44, 39120 Magdeburg, Germany
| | - Notger Müller
- Research Group Neuroprotection, German Center for Neurodegenerative Diseases (DZNE), Leipziger Str. 44, 39120 Magdeburg, Germany; (P.M.); (N.M.)
- Medical Faculty, Department of Neurology, Otto-von-Guericke University, Leipziger Str. 44, 39120 Magdeburg, Germany
| | - Asma Aloui
- Research Unit: Physical Activity, Sport, and Health, UR18JS01, National Observatory of Sport, Tunis 1003, Tunisia; (H.C.); (O.B.); (A.A.); (N.S.)
- High Institute of Sport and Physical Education, University of Gafsa, 2112 Gafsa, Tunisia
| | - Omar Hammouda
- Research Laboratory, Molecular Bases of Human Pathology, LR12ES17, Faculty of Medicine, University of Sfax, Sfax 3000, Tunisia;
| | - Laisa Liane Paineiras-Domingos
- Laboratório de Vibrações Mecânicas e Práticas Integrativas, LAVIMPI-UERJ, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ 20950-003, Brazil;
- Faculdade Bezerra de Araújo, Rio de Janeiro, Rj 23052-180, Brazil
| | - Annemarie Braakman-Jansen
- Department of Psychology, Health & Technology, University of Twente, 7522 Enschede, The Netherland; (A.B.-J.); (C.W.); (L.V.G.-P.)
| | - Christian Wrede
- Department of Psychology, Health & Technology, University of Twente, 7522 Enschede, The Netherland; (A.B.-J.); (C.W.); (L.V.G.-P.)
| | - Sofia Bastoni
- Department of Psychology, Health & Technology, University of Twente, 7522 Enschede, The Netherland; (A.B.-J.); (C.W.); (L.V.G.-P.)
- Department of Psychology, Università Cattolica del Sacro Cuore, 20123 Milano, Italy; (S.B.); (A.G.)
| | - Carlos Soares Pernambuco
- Laboratório de Fisiologia do Exercício, Estácio de Sá University, Rio de Janeiro 20261-063, Brasil;
| | - Leonardo Mataruna
- College of Business Administration, American University in the Emirates, 503000 Dubai Academic City, Dubai, UAE;
| | - Morteza Taheri
- Faculty of social science, Imam Khomeini International University, Qazvin 34148-96818, Iran; (M.T.); (K.I.)
| | - Khadijeh Irandoust
- Faculty of social science, Imam Khomeini International University, Qazvin 34148-96818, Iran; (M.T.); (K.I.)
| | - Aïmen Khacharem
- UVHC, DeVisu, Valenciennes; LIRTES-EA 7313, Université Paris Est Créteil Val de Marne, 94000 Créteil, France;
| | - Nicola L. Bragazzi
- Department of Health Sciences (DISSAL), Postgraduate School of Public Health, University of Genoa, 16132 Genoa, Italy;
- Laboratory for Industrial and Applied Mathematics (LIAM), Department of Mathematics and Statistics, York University, 4700 Keele Street, Toronto, ON M3J 1P3, Canada
| | - Karim Chamari
- ASPETAR, Qatar Orthopaedic and Sports Medicine Hospital, Doha 29222, Qatar;
- Laboratory “Sport Performance Optimization”, (CNMSS); ISSEP Ksar-Said, Manouba University, 2010 Manouba, Tunisia
| | - Jordan M. Glenn
- Exercise Science Research Center, Department of Health, Human Performance and Recreation, University of Arkansas, Fayetteville, AR 72701, USA;
| | - Nicholas T. Bott
- Clinical Excellence Research Center, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA;
| | - Faiez Gargouri
- Higher Institute of Computer Science and Multimedia of Sfax, University of Sfax, Sfax 3000, Tunisia; (B.B.); (F.G.)
| | - Lotfi Chaari
- Computer science department, University of Toulouse, IRIT-INP-ENSEEIHT (UMR 5505), BP 7122, 31500 Toulouse, France; (L.C.); (H.B.)
| | - Hadj Batatia
- Computer science department, University of Toulouse, IRIT-INP-ENSEEIHT (UMR 5505), BP 7122, 31500 Toulouse, France; (L.C.); (H.B.)
| | - Gamal Mohamed Ali
- Faculty of Physical Education, Assiut University, Assiut 71515, Egypt; (G.M.A.); (O.A.)
| | - Osama Abdelkarim
- Faculty of Physical Education, Assiut University, Assiut 71515, Egypt; (G.M.A.); (O.A.)
- Institute for Sports and Sports Science, Karlsruher Institut für Technologie, 76131 Karlsruher, Germany
| | - Mohamed Jarraya
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax 3000, Tunisia; (K.T.); (L.M.); (M.J.); (K.E.A.); (W.M.)
| | - Kais El Abed
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax 3000, Tunisia; (K.T.); (L.M.); (M.J.); (K.E.A.); (W.M.)
| | - Nizar Souissi
- Research Unit: Physical Activity, Sport, and Health, UR18JS01, National Observatory of Sport, Tunis 1003, Tunisia; (H.C.); (O.B.); (A.A.); (N.S.)
| | - Lisette Van Gemert-Pijnen
- Department of Psychology, Health & Technology, University of Twente, 7522 Enschede, The Netherland; (A.B.-J.); (C.W.); (L.V.G.-P.)
| | - Bryan L. Riemann
- Department of Health Sciences and Kinesiology, Georgia Southern University, Statesboro, GA 30458, USA;
| | | | - Wassim Moalla
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax 3000, Tunisia; (K.T.); (L.M.); (M.J.); (K.E.A.); (W.M.)
| | - Jonathan Gómez-Raja
- FundeSalud, Dept. of Health and Social Services, Government of Extremadura, 06800 Merida, Spain;
| | | | - Robbert Sanderman
- Department of Health Psychology, University Medical Center Groningen, University of Groningen, 9712 Groningen, The Netherlands;
| | - Sebastian V. W. Schulz
- Sports- and Rehabilitation Medicine, Ulm University Hospital, Leimgrubenweg 14, 89075 Ulm, Germany; (S.V.W.S.); (A.J.); (J.M.S.)
| | - Achim Jerg
- Sports- and Rehabilitation Medicine, Ulm University Hospital, Leimgrubenweg 14, 89075 Ulm, Germany; (S.V.W.S.); (A.J.); (J.M.S.)
| | - Ramzi Al-Horani
- Department of Exercise Science, Yarmouk University, Irbid 21163, Jordan;
| | - Taiysir Mansi
- Faculty of Physical Education, The University of Jordan, 11942 Amman, Jordan;
| | - Mohamed Jmail
- Digital Research Centre of Sfax, Sfax 3000, Tunisia;
| | - Fernando Barbosa
- Laboratory of Neuropsychophysiology, Faculty of Psychology and Education Sciences, University of Porto, 4200-135 Porto, Portugal; (F.B.); (F.F.-S.)
| | - Fernando Ferreira-Santos
- Laboratory of Neuropsychophysiology, Faculty of Psychology and Education Sciences, University of Porto, 4200-135 Porto, Portugal; (F.B.); (F.F.-S.)
| | - Boštjan Šimunič
- Institute for Kinesiology Research, Science and Research Centre Koper, Garibaldijeva 1, 6000 Koper, Slovenia; (B.Š.); (R.P.)
| | - Rado Pišot
- Institute for Kinesiology Research, Science and Research Centre Koper, Garibaldijeva 1, 6000 Koper, Slovenia; (B.Š.); (R.P.)
| | - Andrea Gaggioli
- Department of Psychology, Università Cattolica del Sacro Cuore, 20123 Milano, Italy; (S.B.); (A.G.)
- Applied Technology for Neuro-Psychology Lab, I.R.C.C.S. Istituto Auxologico Italiano, 20149 Milan, Italy
| | - Stephen J. Bailey
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough E11 3TU, UK;
| | - Jürgen M. Steinacker
- Sports- and Rehabilitation Medicine, Ulm University Hospital, Leimgrubenweg 14, 89075 Ulm, Germany; (S.V.W.S.); (A.J.); (J.M.S.)
| | - Tarak Driss
- Interdisciplinary Laboratory in Neurosciences, Physiology and Psychology: Physical Activity, Health and Learning (LINP2-2APS), UFR STAPS, UPL, Paris Nanterre University, 92000 Nanterre, France;
| | - Anita Hoekelmann
- Institute of Sport Science, Otto-von-Guericke University, 39106 Magdeburg, Germany; (A.H.)
| | - On Behalf of the ECLB-COVID19 Consortium
- Institute of Sport Science, Otto-von-Guericke University, 39106 Magdeburg, Germany; (A.H.)
- Department of Health Sciences (DISSAL), Postgraduate School of Public Health, University of Genoa, 16132 Genoa, Italy;
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7
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Ammar A, Brach M, Trabelsi K, Chtourou H, Boukhris O, Masmoudi L, Bouaziz B, Bentlage E, How D, Ahmed M, Müller P, Müller N, Aloui A, Hammouda O, Paineiras-Domingos LL, Braakman-Jansen A, Wrede C, Bastoni S, Pernambuco CS, Mataruna L, Taheri M, Irandoust K, Khacharem A, Bragazzi NL, Chamari K, Glenn JM, Bott NT, Gargouri F, Chaari L, Batatia H, Ali GM, Abdelkarim O, Jarraya M, Abed KE, Souissi N, Van Gemert-Pijnen L, Riemann BL, Riemann L, Moalla W, Gómez-Raja J, Epstein M, Sanderman R, Schulz SV, Jerg A, Al-Horani R, Mansi T, Jmail M, Barbosa F, Ferreira-Santos F, Šimunič B, Pišot R, Gaggioli A, Bailey SJ, Steinacker JM, Driss T, Hoekelmann A. Effects of COVID-19 Home Confinement on Eating Behaviour and Physical Activity: Results of the ECLB-COVID19 International Online Survey. Nutrients 2020; 12:nu12061583. [PMID: 32481594 DOI: 10.1101/2020.05.04.20072447] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 05/22/2020] [Accepted: 05/25/2020] [Indexed: 05/22/2023] Open
Abstract
BACKGROUND Public health recommendations and governmental measures during the COVID-19 pandemic have resulted in numerous restrictions on daily living including social distancing, isolation and home confinement. While these measures are imperative to abate the spreading of COVID-19, the impact of these restrictions on health behaviours and lifestyles at home is undefined. Therefore, an international online survey was launched in April 2020, in seven languages, to elucidate the behavioural and lifestyle consequences of COVID-19 restrictions. This report presents the results from the first thousand responders on physical activity (PA) and nutrition behaviours. METHODS Following a structured review of the literature, the "Effects of home Confinement on multiple Lifestyle Behaviours during the COVID-19 outbreak (ECLB-COVID19)" Electronic survey was designed by a steering group of multidisciplinary scientists and academics. The survey was uploaded and shared on the Google online survey platform. Thirty-five research organisations from Europe, North-Africa, Western Asia and the Americas promoted the survey in English, German, French, Arabic, Spanish, Portuguese and Slovenian languages. Questions were presented in a differential format, with questions related to responses "before" and "during" confinement conditions. RESULTS 1047 replies (54% women) from Asia (36%), Africa (40%), Europe (21%) and other (3%) were included in the analysis. The COVID-19 home confinement had a negative effect on all PA intensity levels (vigorous, moderate, walking and overall). Additionally, daily sitting time increased from 5 to 8 h per day. Food consumption and meal patterns (the type of food, eating out of control, snacks between meals, number of main meals) were more unhealthy during confinement, with only alcohol binge drinking decreasing significantly. CONCLUSION While isolation is a necessary measure to protect public health, results indicate that it alters physical activity and eating behaviours in a health compromising direction. A more detailed analysis of survey data will allow for a segregation of these responses in different age groups, countries and other subgroups, which will help develop interventions to mitigate the negative lifestyle behaviours that have manifested during the COVID-19 confinement.
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Affiliation(s)
- Achraf Ammar
- Institute of Sport Science, Otto-von-Guericke University, 39106 Magdeburg, Germany
- Research Laboratory, Molecular Bases of Human Pathology, LR12ES17, Faculty of Medicine, University of Sfax, Sfax 3000, Tunisia
| | - Michael Brach
- Institute of Sport and Exercise Sciences, University of Münster, 48149 Münster, Germany
| | - Khaled Trabelsi
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax 3000, Tunisia
- Research Laboratory: Education, Motricity, Sport and Health, EM2S, LR19JS01, University of Sfax, Sfax 3000, Tunisia
| | - Hamdi Chtourou
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax 3000, Tunisia
- Research Unit: Physical Activity, Sport, and Health, UR18JS01, National Observatory of Sport, Tunis 1003, Tunisia
| | - Omar Boukhris
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax 3000, Tunisia
- Research Unit: Physical Activity, Sport, and Health, UR18JS01, National Observatory of Sport, Tunis 1003, Tunisia
| | - Liwa Masmoudi
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax 3000, Tunisia
| | - Bassem Bouaziz
- Higher Institute of Computer Science and Multimedia of Sfax, University of Sfax, Sfax 3000, Tunisia
| | - Ellen Bentlage
- Institute of Sport and Exercise Sciences, University of Münster, 48149 Münster, Germany
| | - Daniella How
- Institute of Sport and Exercise Sciences, University of Münster, 48149 Münster, Germany
| | - Mona Ahmed
- Institute of Sport and Exercise Sciences, University of Münster, 48149 Münster, Germany
| | - Patrick Müller
- Research Group Neuroprotection, German Center for Neurodegenerative Diseases (DZNE), Leipziger Str. 44, 39120 Magdeburg, Germany
- Medical Faculty, Department of Neurology, Otto-von-Guericke University, Leipziger Str. 44, 39120 Magdeburg, Germany
| | - Notger Müller
- Research Group Neuroprotection, German Center for Neurodegenerative Diseases (DZNE), Leipziger Str. 44, 39120 Magdeburg, Germany
- Medical Faculty, Department of Neurology, Otto-von-Guericke University, Leipziger Str. 44, 39120 Magdeburg, Germany
| | - Asma Aloui
- Research Unit: Physical Activity, Sport, and Health, UR18JS01, National Observatory of Sport, Tunis 1003, Tunisia
- High Institute of Sport and Physical Education, University of Gafsa, Gafsa 2112, Tunisia
| | - Omar Hammouda
- Research Laboratory, Molecular Bases of Human Pathology, LR12ES17, Faculty of Medicine, University of Sfax, Sfax 3000, Tunisia
| | - Laisa Liane Paineiras-Domingos
- Laboratório de Vibrações Mecânicas e Práticas Integrativas, LAVIMPI-UERJ, Universidade do Estado do Rio de Janeiro, Rio de Janeiro RJ 20950-003, Brazil
- Faculdade Bezerra de Araújo, Rio de Janeiro Rj 23052-180, Brazil
| | | | - Christian Wrede
- Department of Psychology, Health & Technology, University of Twente, 7522 Enschede, The Netherlands
| | - Sofia Bastoni
- Department of Psychology, Health & Technology, University of Twente, 7522 Enschede, The Netherlands
- Department of Psychology, Università Cattolica del Sacro Cuore, 20123 Milano, Italy
| | - Carlos Soares Pernambuco
- Laboratório de Fisiologia do Exercício, Estácio de Sá University, Rio de Janeiro 20261-063, Brazil
| | - Leonardo Mataruna
- College of Business Administration, American University in the Emirates, 503000-Dubai Academic City, Dubai, UAE
| | - Morteza Taheri
- Faculty of social science, Imam Khomeini International University, Qazvin 34148-96818, Iran
| | - Khadijeh Irandoust
- Faculty of social science, Imam Khomeini International University, Qazvin 34148-96818, Iran
| | - Aïmen Khacharem
- UVHC, DeVisu, Valenciennes, LIRTES-EA 7313, Université Paris Est Créteil Val de Marne, 94000 Créteil, France
| | - Nicola L Bragazzi
- Department of Health Sciences (DISSAL), Postgraduate School of Public Health, University of Genoa, 16132 Genoa, Italy
- Laboratory for Industrial and Applied Mathematics (LIAM), Department of Mathematics and Statistics, York University, 4700 Keele Street, Toronto, ON M3J 1P3, Canada
| | - Karim Chamari
- ASPETAR, Qatar Orthopaedic and Sports Medicine Hospital, Doha 29222, Qatar
- Laboratory "Sport Performance Optimization", (CNMSS), ISSEP Ksar-Said, Manouba University, Manouba 2010, Tunisia
| | - Jordan M Glenn
- Exercise Science Research Center, Department of Health, Human Performance and Recreation, University of Arkansas, Fayetteville, AR 72701, USA
| | - Nicholas T Bott
- Clinical Excellence Research Center, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Faiez Gargouri
- Higher Institute of Computer Science and Multimedia of Sfax, University of Sfax, Sfax 3000, Tunisia
| | - Lotfi Chaari
- Computer science department, University of Toulouse, IRIT-INP-ENSEEIHT (UMR 5505), BP 7122, Toulouse, France
| | - Hadj Batatia
- Computer science department, University of Toulouse, IRIT-INP-ENSEEIHT (UMR 5505), BP 7122, Toulouse, France
| | - Gamal Mohamed Ali
- Faculty of Physical Education, Assiut University, Assiut 71515, Egypt
| | - Osama Abdelkarim
- Faculty of Physical Education, Assiut University, Assiut 71515, Egypt
- Institute for Sports and Sports Science, Karlsruher Institut für Technologie, 76131 Karlsruher, Germany
| | - Mohamed Jarraya
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax 3000, Tunisia
| | - Kais El Abed
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax 3000, Tunisia
| | - Nizar Souissi
- Research Unit: Physical Activity, Sport, and Health, UR18JS01, National Observatory of Sport, Tunis 1003, Tunisia
| | | | - Bryan L Riemann
- Department of Health Sciences and Kinesiology, Georgia Southern University, Statesboro, GA 30458, USA
| | | | - Wassim Moalla
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax 3000, Tunisia
| | - Jonathan Gómez-Raja
- FundeSalud, Dept. of Health and Social Services, Government of Extremadura, 06800 Merida, Spain
| | | | - Robbert Sanderman
- Department of Health Psychology, University Medical Center Groningen, University of Groningen, 9712 Groningen, The Netherlands
| | - Sebastian Vw Schulz
- Sports- and Rehabilitation Medicine, Ulm University Hospital, Leimgrubenweg 14, 89075 Ulm, Germany
| | - Achim Jerg
- Sports- and Rehabilitation Medicine, Ulm University Hospital, Leimgrubenweg 14, 89075 Ulm, Germany
| | - Ramzi Al-Horani
- Department of Exercise Science, Yarmouk University, Irbid 21163, Jordan
| | - Taiysir Mansi
- Faculty of Physical Education, The University of Jordan, Amman 11942, Jordan
| | | | - Fernando Barbosa
- Laboratory of Neuropsychophysiology, Faculty of Psychology and Education Sciences, University of Porto, 4200-135 Porto, Portugal
| | - Fernando Ferreira-Santos
- Laboratory of Neuropsychophysiology, Faculty of Psychology and Education Sciences, University of Porto, 4200-135 Porto, Portugal
| | - Boštjan Šimunič
- Institute for Kinesiology Research, Science and Research Centre Koper, Garibaldijeva 1, 6000 Koper, Slovenia
| | - Rado Pišot
- Institute for Kinesiology Research, Science and Research Centre Koper, Garibaldijeva 1, 6000 Koper, Slovenia
| | - Andrea Gaggioli
- Department of Psychology, Università Cattolica del Sacro Cuore, 20123 Milano, Italy
- Applied Technology for Neuro-Psychology Lab, I.R.C.C.S. Istituto Auxologico Italiano, 20149 Milan, Italy
| | - Stephen J Bailey
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough E11 3TU, UK
| | - Jürgen M Steinacker
- Sports- and Rehabilitation Medicine, Ulm University Hospital, Leimgrubenweg 14, 89075 Ulm, Germany
| | - Tarak Driss
- Interdisciplinary Laboratory in Neurosciences, Physiology and Psychology: Physical Activity, Health and Learning (LINP2-2APS), UFR STAPS, UPL, Paris Nanterre University, 92000 Nanterre, France
| | - Anita Hoekelmann
- Institute of Sport Science, Otto-von-Guericke University, 39106 Magdeburg, Germany
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8
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Ammar A, Mueller P, Trabelsi K, Chtourou H, Boukhris O, Masmoudi L, Bouaziz B, Brach M, Schmicker M, Bentlage E, How D, Ahmed M, Aloui A, Hammouda O, Paineiras-Domingos LL, Braakman-Jansen A, Wrede C, Bastoni S, Pernambuco CS, Mataruna-Dos-Santos LJ, Taheri M, Irandoust K, Khacharem A, Bragazzi NL, Adrian Washif J, Glenn JM, Bott NT, Gargouri F, Chaari L, Batatia H, Khoshnami SC, Samara E, Zisi V, Sankar P, Ahmed WN, Ali GM, Abdelkarim O, Jarraya M, El Abed K, Romdhani M, Souissi N, Van Gemert-Pijnen L, Bailey SJ, Moalla W, Gómez-Raja J, Epstein M, Sanderman R, Schulz S, Jerg A, Al-Horani R, Mansi T, Jmail M, Barbosa F, Ferreira-Santos F, Šimunič B, Pišot R, Gaggioli A, Zmijewski P, Steinacker JM, Strahler J, Riemann L, Riemann BL, Mueller N, Chamari K, Driss T, Hoekelmann A. Psychological consequences of COVID-19 home confinement: The ECLB-COVID19 multicenter study. PLoS One 2020. [PMID: 33152030 DOI: 10.1101/2020.05.05.20091058v1] [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] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/16/2023] Open
Abstract
BACKGROUND Public health recommendations and government measures during the COVID-19 pandemic have enforced restrictions on daily-living. While these measures are imperative to abate the spreading of COVID-19, the impact of these restrictions on mental health and emotional wellbeing is undefined. Therefore, an international online survey (ECLB-COVID19) was launched on April 6, 2020 in seven languages to elucidate the impact of COVID-19 restrictions on mental health and emotional wellbeing. METHODS The ECLB-COVID19 electronic survey was designed by a steering group of multidisciplinary scientists, following a structured review of the literature. The survey was uploaded and shared on the Google online-survey-platform and was promoted by thirty-five research organizations from Europe, North-Africa, Western-Asia and the Americas. All participants were asked for their mental wellbeing (SWEMWS) and depressive symptoms (SMFQ) with regard to "during" and "before" home confinement. RESULTS Analysis was conducted on the first 1047 replies (54% women) from Asia (36%), Africa (40%), Europe (21%) and other (3%). The COVID-19 home confinement had a negative effect on both mental-wellbeing and on mood and feelings. Specifically, a significant decrease (p < .001 and Δ% = 9.4%) in total score of the SWEMWS questionnaire was noted. More individuals (+12.89%) reported a low mental wellbeing "during" compared to "before" home confinement. Furthermore, results from the mood and feelings questionnaire showed a significant increase by 44.9% (p < .001) in SMFQ total score with more people (+10%) showing depressive symptoms "during" compared to "before" home confinement. CONCLUSION The ECLB-COVID19 survey revealed an increased psychosocial strain triggered by the home confinement. To mitigate this high risk of mental disorders and to foster an Active and Healthy Confinement Lifestyle (AHCL), a crisis-oriented interdisciplinary intervention is urgently needed.
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Affiliation(s)
- Achraf Ammar
- Institute of Sport Science, Otto-von-Guericke University, Magdeburg, Germany
- Interdisciplinary Laboratory in Neurosciences, Physiology and Psychology: Physical Activity, Health and Learning, UFR STAPS, UPL, Paris Nanterre University, Nanterre, France
| | - Patrick Mueller
- Research Group Neuroprotection, German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Medical Faculty, Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany
| | - Khaled Trabelsi
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax, Tunisia
- Research Laboratory: Education, Motricity, Sport and Health, EM2S, LR19JS01, University of Sfax, Sfax, Tunisia
| | - Hamdi Chtourou
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax, Tunisia
- Physical Activity, Sport, and Health, UR18JS01, National Observatory of Sport, Tunis, Tunisia
| | - Omar Boukhris
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax, Tunisia
- Physical Activity, Sport, and Health, UR18JS01, National Observatory of Sport, Tunis, Tunisia
| | - Liwa Masmoudi
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax, Tunisia
| | - Bassem Bouaziz
- Higher Institute of Computer Science and Multimedia of Sfax, University of Sfax, Sfax, Tunisia
| | - Michael Brach
- Institute of Sport and Exercise Sciences, University of Münster, Münster, Germany
| | - Marlen Schmicker
- Research Group Neuroprotection, German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Ellen Bentlage
- Institute of Sport and Exercise Sciences, University of Münster, Münster, Germany
| | - Daniella How
- Institute of Sport and Exercise Sciences, University of Münster, Münster, Germany
| | - Mona Ahmed
- Institute of Sport and Exercise Sciences, University of Münster, Münster, Germany
| | - Asma Aloui
- Physical Activity, Sport, and Health, UR18JS01, National Observatory of Sport, Tunis, Tunisia
- High Institute of Sport and Physical Education, University of Gafsa, Gafsa, Tunisia
| | - Omar Hammouda
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax, Tunisia
- Research Laboratory, Molecular Bases of Human Pathology, LR12ES17, Faculty of Medicine, University of Sfax, Sfax, Tunisia
| | | | | | - Christian Wrede
- Department of Psychology, Health & Technology, University of Twente, Enschede, The Netherlands
| | - Sophia Bastoni
- Department of Psychology, Health & Technology, University of Twente, Enschede, The Netherlands
- Department of Psychology, Università Cattolica del Sacro Cuore, Milano, Italy
| | | | | | - Morteza Taheri
- Faculty of Social Science, Imam Khomeini International University, Qazvin, Iran
| | - Khadijeh Irandoust
- Faculty of Social Science, Imam Khomeini International University, Qazvin, Iran
| | - Aïmen Khacharem
- UVHC, DeVisu, Valenciennes; LIRTES-EA 7313. Université Paris Est Créteil Val de Marne, Créteil, France
| | - Nicola L Bragazzi
- Department of Health Sciences, Postgraduate School of Public Health, University of Genoa, Genoa, Italy
- Department of Mathematics and Statistics, Laboratory for Industrial and Applied Mathematics, York University, Toronto, ON, Canada
| | - Jad Adrian Washif
- Sports Performance Division, National Sports Institute of Malaysia, Kuala Lumpur, Malaysia
| | - Jordan M Glenn
- Exercise Science Research Center, Department of Health, Human Performance and Recreation, University of Arkansas, Fayetteville, Arkansas, United States of America
| | - Nicholas T Bott
- Clinical Excellence Research Center, Department of Medicine, Stanford University School of Medicine, Stanford, California, United States of America
| | - Faiez Gargouri
- Higher Institute of Computer Science and Multimedia of Sfax, University of Sfax, Sfax, Tunisia
| | - Lotfi Chaari
- Computer Science Department, University of Toulouse, IRIT-INP-ENSEEIHT, Toulouse, France
| | - Hadj Batatia
- Computer Science Department, University of Toulouse, IRIT-INP-ENSEEIHT, Toulouse, France
| | | | | | - Vasiliki Zisi
- Department of Physical Education and Sports Sciences, University of Thessaly, Volos, Greece
| | - Parasanth Sankar
- Consultant in Internal Medicine and Diabetes, MGM Muthoot Hospitals Pathanamthitta, Pathanamthitta, Kerala, India
| | - Waseem N Ahmed
- Consultant Family Physician, CRAFT Hospital and Research Centre, Kodungallur, Kerala, India
| | | | - Osama Abdelkarim
- Faculty of Physical Education, Assiut University, Assiut, Egypt
- Institute for Sports and Sports Science, Karlsruher Institut für Technologie, Karlsruher, Germany
| | - Mohamed Jarraya
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax, Tunisia
| | - Kais El Abed
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax, Tunisia
| | - Mohamed Romdhani
- Physical Activity, Sport, and Health, UR18JS01, National Observatory of Sport, Tunis, Tunisia
| | - Nizar Souissi
- Physical Activity, Sport, and Health, UR18JS01, National Observatory of Sport, Tunis, Tunisia
| | | | - Stephen J Bailey
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, United Kingdom
| | - Wassim Moalla
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax, Tunisia
| | - Jonathan Gómez-Raja
- FundeSalud, Dept. of Health and Social Services, Government of Extremadura, Merida, Spain
| | | | - Robbert Sanderman
- Department of Health Psychology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Sebastian Schulz
- Sports- and Rehabilitation Medicine, Ulm University Hospital, Ulm, Germany
| | - Achim Jerg
- Sports- and Rehabilitation Medicine, Ulm University Hospital, Ulm, Germany
| | - Ramzi Al-Horani
- Department of Exercise Science, Yarmouk University, Irbid, Jordan
| | - Taysir Mansi
- Faculty of Physical Education, The University of Jordan, Amman, Jordan
| | | | - Fernando Barbosa
- Laboratory of Neuropsychophysiology, Faculty of Psychology and Education Sciences, University of Porto, Porto, Portugal
| | - Fernando Ferreira-Santos
- Laboratory of Neuropsychophysiology, Faculty of Psychology and Education Sciences, University of Porto, Porto, Portugal
| | - Boštjan Šimunič
- Institute for Kinesiology Research, Science and Research Centre Koper, Koper, Slovenia
| | - Rado Pišot
- Institute for Kinesiology Research, Science and Research Centre Koper, Koper, Slovenia
| | - Andrea Gaggioli
- Department of Psychology, Università Cattolica del Sacro Cuore, Milan, Italy
- I.R.C.C.S. Istituto Auxologico Italiano, Milan, Italy
| | - Piotr Zmijewski
- Jozef Pilsudski University of Physical Education in Warsaw, Warsaw, Poland
| | | | - Jana Strahler
- Department of Psychology and Sport Science, University of Gießen, Gießen, Germany
| | - Laurel Riemann
- PharmD, BCBS; PharmIAD, Inc, Savannah, GA, United States of America
| | - Bryan L Riemann
- Department of Health Sciences and Kinesiology, Georgia Southern University, Statesboro, GA, United States of America
| | - Notger Mueller
- Research Group Neuroprotection, German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Medical Faculty, Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany
| | - Karim Chamari
- ASPETAR, Qatar Orthopaedic and Sports Medicine Hospital, Doha, Qatar
- Laboratory ''Sport Performance Optimization'', ISSEP Ksar-Said, Manouba University, Manouba, Tunisia
| | - Tarak Driss
- Interdisciplinary Laboratory in Neurosciences, Physiology and Psychology: Physical Activity, Health and Learning, UFR STAPS, UPL, Paris Nanterre University, Nanterre, France
| | - Anita Hoekelmann
- Institute of Sport Science, Otto-von-Guericke University, Magdeburg, Germany
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Abstract
The two-point central difference is a common algorithm in biological signal processing and is particularly useful in analyzing physiological signals. In this paper, we develop a model-based classification method to detect epileptic seizures that relies on this algorithm to filter electroencephalogram (EEG) signals. The underlying idea was to design an EEG filter that enhances the waveform of epileptic signals. The filtered signal was fitted to a quadratic linear-parabolic model using the curve fitting technique. The model fitting was assessed using four statistical parameters, which were used as classification features with a random forest algorithm to discriminate seizure and non-seizure events. The proposed method was applied to 66 epochs from the Children Hospital Boston database. Results showed that the method achieved fast and accurate detection of epileptic seizures, with a 92% sensitivity, 96% specificity, and 94.1% accuracy.
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Affiliation(s)
- Antonio Quintero-Rincón
- Epilepsy and Telemetry Integral Center, Foundation for the Fight against Pediatric Neurological Disease, Montañeses 2325, Buenos Aires C1428AQK, Argentina;Computer Science Research Institute of Toulouse-National Polytechnic Institute of Toulouse, University of Toulouse, Toulouse, Cedex 7 B.P. 7122-31071, France
| | - Carlos D'giano
- Epilepsy and Telemetry Integral Center, Foundation for the Fight against Pediatric Neurological Disease, Montañeses 2325, Buenos Aires C1428AQK, Argentina
| | - Hadj Batatia
- Computer Science Research Institute of Toulouse-National Polytechnic Institute of Toulouse, University of Toulouse, Toulouse, Cedex 7 B.P. 7122-31071, France
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10
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Ammar A, Mueller P, Trabelsi K, Chtourou H, Boukhris O, Masmoudi L, Bouaziz B, Brach M, Schmicker M, Bentlage E, How D, Ahmed M, Aloui A, Hammouda O, Paineiras-Domingos LL, Braakman-Jansen A, Wrede C, Bastoni S, Pernambuco CS, Mataruna-Dos-Santos LJ, Taheri M, Irandoust K, Khacharem A, Bragazzi NL, Adrian Washif J, Glenn JM, Bott NT, Gargouri F, Chaari L, Batatia H, Khoshnami SC, Samara E, Zisi V, Sankar P, Ahmed WN, Ali GM, Abdelkarim O, Jarraya M, El Abed K, Romdhani M, Souissi N, Van Gemert-Pijnen L, Bailey SJ, Moalla W, Gómez-Raja J, Epstein M, Sanderman R, Schulz S, Jerg A, Al-Horani R, Mansi T, Jmail M, Barbosa F, Ferreira-Santos F, Šimunič B, Pišot R, Gaggioli A, Zmijewski P, Steinacker JM, Strahler J, Riemann L, Riemann BL, Mueller N, Chamari K, Driss T, Hoekelmann A. Psychological consequences of COVID-19 home confinement: The ECLB-COVID19 multicenter study. PLoS One 2020. [PMID: 33152030 DOI: 10.1371/%20journal.pone.0240204] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/17/2023] Open
Abstract
BACKGROUND Public health recommendations and government measures during the COVID-19 pandemic have enforced restrictions on daily-living. While these measures are imperative to abate the spreading of COVID-19, the impact of these restrictions on mental health and emotional wellbeing is undefined. Therefore, an international online survey (ECLB-COVID19) was launched on April 6, 2020 in seven languages to elucidate the impact of COVID-19 restrictions on mental health and emotional wellbeing. METHODS The ECLB-COVID19 electronic survey was designed by a steering group of multidisciplinary scientists, following a structured review of the literature. The survey was uploaded and shared on the Google online-survey-platform and was promoted by thirty-five research organizations from Europe, North-Africa, Western-Asia and the Americas. All participants were asked for their mental wellbeing (SWEMWS) and depressive symptoms (SMFQ) with regard to "during" and "before" home confinement. RESULTS Analysis was conducted on the first 1047 replies (54% women) from Asia (36%), Africa (40%), Europe (21%) and other (3%). The COVID-19 home confinement had a negative effect on both mental-wellbeing and on mood and feelings. Specifically, a significant decrease (p < .001 and Δ% = 9.4%) in total score of the SWEMWS questionnaire was noted. More individuals (+12.89%) reported a low mental wellbeing "during" compared to "before" home confinement. Furthermore, results from the mood and feelings questionnaire showed a significant increase by 44.9% (p < .001) in SMFQ total score with more people (+10%) showing depressive symptoms "during" compared to "before" home confinement. CONCLUSION The ECLB-COVID19 survey revealed an increased psychosocial strain triggered by the home confinement. To mitigate this high risk of mental disorders and to foster an Active and Healthy Confinement Lifestyle (AHCL), a crisis-oriented interdisciplinary intervention is urgently needed.
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Affiliation(s)
- Achraf Ammar
- Institute of Sport Science, Otto-von-Guericke University, Magdeburg, Germany
- Interdisciplinary Laboratory in Neurosciences, Physiology and Psychology: Physical Activity, Health and Learning, UFR STAPS, UPL, Paris Nanterre University, Nanterre, France
| | - Patrick Mueller
- Research Group Neuroprotection, German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Medical Faculty, Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany
| | - Khaled Trabelsi
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax, Tunisia
- Research Laboratory: Education, Motricity, Sport and Health, EM2S, LR19JS01, University of Sfax, Sfax, Tunisia
| | - Hamdi Chtourou
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax, Tunisia
- Physical Activity, Sport, and Health, UR18JS01, National Observatory of Sport, Tunis, Tunisia
| | - Omar Boukhris
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax, Tunisia
- Physical Activity, Sport, and Health, UR18JS01, National Observatory of Sport, Tunis, Tunisia
| | - Liwa Masmoudi
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax, Tunisia
| | - Bassem Bouaziz
- Higher Institute of Computer Science and Multimedia of Sfax, University of Sfax, Sfax, Tunisia
| | - Michael Brach
- Institute of Sport and Exercise Sciences, University of Münster, Münster, Germany
| | - Marlen Schmicker
- Research Group Neuroprotection, German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Ellen Bentlage
- Institute of Sport and Exercise Sciences, University of Münster, Münster, Germany
| | - Daniella How
- Institute of Sport and Exercise Sciences, University of Münster, Münster, Germany
| | - Mona Ahmed
- Institute of Sport and Exercise Sciences, University of Münster, Münster, Germany
| | - Asma Aloui
- Physical Activity, Sport, and Health, UR18JS01, National Observatory of Sport, Tunis, Tunisia
- High Institute of Sport and Physical Education, University of Gafsa, Gafsa, Tunisia
| | - Omar Hammouda
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax, Tunisia
- Research Laboratory, Molecular Bases of Human Pathology, LR12ES17, Faculty of Medicine, University of Sfax, Sfax, Tunisia
| | | | | | - Christian Wrede
- Department of Psychology, Health & Technology, University of Twente, Enschede, The Netherlands
| | - Sophia Bastoni
- Department of Psychology, Health & Technology, University of Twente, Enschede, The Netherlands
- Department of Psychology, Università Cattolica del Sacro Cuore, Milano, Italy
| | | | | | - Morteza Taheri
- Faculty of Social Science, Imam Khomeini International University, Qazvin, Iran
| | - Khadijeh Irandoust
- Faculty of Social Science, Imam Khomeini International University, Qazvin, Iran
| | - Aïmen Khacharem
- UVHC, DeVisu, Valenciennes; LIRTES-EA 7313. Université Paris Est Créteil Val de Marne, Créteil, France
| | - Nicola L Bragazzi
- Department of Health Sciences, Postgraduate School of Public Health, University of Genoa, Genoa, Italy
- Department of Mathematics and Statistics, Laboratory for Industrial and Applied Mathematics, York University, Toronto, ON, Canada
| | - Jad Adrian Washif
- Sports Performance Division, National Sports Institute of Malaysia, Kuala Lumpur, Malaysia
| | - Jordan M Glenn
- Exercise Science Research Center, Department of Health, Human Performance and Recreation, University of Arkansas, Fayetteville, Arkansas, United States of America
| | - Nicholas T Bott
- Clinical Excellence Research Center, Department of Medicine, Stanford University School of Medicine, Stanford, California, United States of America
| | - Faiez Gargouri
- Higher Institute of Computer Science and Multimedia of Sfax, University of Sfax, Sfax, Tunisia
| | - Lotfi Chaari
- Computer Science Department, University of Toulouse, IRIT-INP-ENSEEIHT, Toulouse, France
| | - Hadj Batatia
- Computer Science Department, University of Toulouse, IRIT-INP-ENSEEIHT, Toulouse, France
| | | | | | - Vasiliki Zisi
- Department of Physical Education and Sports Sciences, University of Thessaly, Volos, Greece
| | - Parasanth Sankar
- Consultant in Internal Medicine and Diabetes, MGM Muthoot Hospitals Pathanamthitta, Pathanamthitta, Kerala, India
| | - Waseem N Ahmed
- Consultant Family Physician, CRAFT Hospital and Research Centre, Kodungallur, Kerala, India
| | | | - Osama Abdelkarim
- Faculty of Physical Education, Assiut University, Assiut, Egypt
- Institute for Sports and Sports Science, Karlsruher Institut für Technologie, Karlsruher, Germany
| | - Mohamed Jarraya
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax, Tunisia
| | - Kais El Abed
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax, Tunisia
| | - Mohamed Romdhani
- Physical Activity, Sport, and Health, UR18JS01, National Observatory of Sport, Tunis, Tunisia
| | - Nizar Souissi
- Physical Activity, Sport, and Health, UR18JS01, National Observatory of Sport, Tunis, Tunisia
| | | | - Stephen J Bailey
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, United Kingdom
| | - Wassim Moalla
- High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax, Tunisia
| | - Jonathan Gómez-Raja
- FundeSalud, Dept. of Health and Social Services, Government of Extremadura, Merida, Spain
| | | | - Robbert Sanderman
- Department of Health Psychology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Sebastian Schulz
- Sports- and Rehabilitation Medicine, Ulm University Hospital, Ulm, Germany
| | - Achim Jerg
- Sports- and Rehabilitation Medicine, Ulm University Hospital, Ulm, Germany
| | - Ramzi Al-Horani
- Department of Exercise Science, Yarmouk University, Irbid, Jordan
| | - Taysir Mansi
- Faculty of Physical Education, The University of Jordan, Amman, Jordan
| | | | - Fernando Barbosa
- Laboratory of Neuropsychophysiology, Faculty of Psychology and Education Sciences, University of Porto, Porto, Portugal
| | - Fernando Ferreira-Santos
- Laboratory of Neuropsychophysiology, Faculty of Psychology and Education Sciences, University of Porto, Porto, Portugal
| | - Boštjan Šimunič
- Institute for Kinesiology Research, Science and Research Centre Koper, Koper, Slovenia
| | - Rado Pišot
- Institute for Kinesiology Research, Science and Research Centre Koper, Koper, Slovenia
| | - Andrea Gaggioli
- Department of Psychology, Università Cattolica del Sacro Cuore, Milan, Italy
- I.R.C.C.S. Istituto Auxologico Italiano, Milan, Italy
| | - Piotr Zmijewski
- Jozef Pilsudski University of Physical Education in Warsaw, Warsaw, Poland
| | | | - Jana Strahler
- Department of Psychology and Sport Science, University of Gießen, Gießen, Germany
| | - Laurel Riemann
- PharmD, BCBS; PharmIAD, Inc, Savannah, GA, United States of America
| | - Bryan L Riemann
- Department of Health Sciences and Kinesiology, Georgia Southern University, Statesboro, GA, United States of America
| | - Notger Mueller
- Research Group Neuroprotection, German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Medical Faculty, Department of Neurology, Otto-von-Guericke University, Magdeburg, Germany
| | - Karim Chamari
- ASPETAR, Qatar Orthopaedic and Sports Medicine Hospital, Doha, Qatar
- Laboratory ''Sport Performance Optimization'', ISSEP Ksar-Said, Manouba University, Manouba, Tunisia
| | - Tarak Driss
- Interdisciplinary Laboratory in Neurosciences, Physiology and Psychology: Physical Activity, Health and Learning, UFR STAPS, UPL, Paris Nanterre University, Nanterre, France
| | - Anita Hoekelmann
- Institute of Sport Science, Otto-von-Guericke University, Magdeburg, Germany
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11
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Halimi A, Batatia H, Le Digabel J, Josse G, Tourneret JY. Wavelet-based statistical classification of skin images acquired with reflectance confocal microscopy. Biomed Opt Express 2017; 8:5450-5467. [PMID: 29296480 PMCID: PMC5745095 DOI: 10.1364/boe.8.005450] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2017] [Revised: 10/18/2017] [Accepted: 10/19/2017] [Indexed: 06/07/2023]
Abstract
Detecting skin lentigo in reflectance confocal microscopy images is an important and challenging problem. This imaging modality has not yet been widely investigated for this problem and there are a few automatic processing techniques. They are mostly based on machine learning approaches and rely on numerous classical image features that lead to high computational costs given the very large resolution of these images. This paper presents a detection method with very low computational complexity that is able to identify the skin depth at which the lentigo can be detected. The proposed method performs multiresolution decomposition of the image obtained at each skin depth. The distribution of image pixels at a given depth can be approximated accurately by a generalized Gaussian distribution whose parameters depend on the decomposition scale, resulting in a very-low-dimension parameter space. SVM classifiers are then investigated to classify the scale parameter of this distribution allowing real-time detection of lentigo. The method is applied to 45 healthy and lentigo patients from a clinical study, where sensitivity of 81.4% and specificity of 83.3% are achieved. Our results show that lentigo is identifiable at depths between 50μm and 60μm, corresponding to the average location of the the dermoepidermal junction. This result is in agreement with the clinical practices that characterize the lentigo by assessing the disorganization of the dermoepidermal junction.
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Affiliation(s)
- Abdelghafour Halimi
- University of Toulouse, IRIT-INPT, 2 rue Camichel, BP 7122, 31071 Toulouse cedex 7,
France
| | - Hadj Batatia
- University of Toulouse, IRIT-INPT, 2 rue Camichel, BP 7122, 31071 Toulouse cedex 7,
France
| | - Jimmy Le Digabel
- Centre de Recherche sur la Peau, Pierre Fabre Dermo-Cosmétique, 2 rue Viguerie, 31025 Toulouse Cedex 3, France
| | - Gwendal Josse
- Centre de Recherche sur la Peau, Pierre Fabre Dermo-Cosmétique, 2 rue Viguerie, 31025 Toulouse Cedex 3, France
| | - Jean Yves Tourneret
- University of Toulouse, IRIT-INPT, 2 rue Camichel, BP 7122, 31071 Toulouse cedex 7,
France
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12
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Costa F, Batatia H, Oberlin T, D'Giano C, Tourneret JY. Bayesian EEG source localization using a structured sparsity prior. Neuroimage 2016; 144:142-152. [PMID: 27639353 DOI: 10.1016/j.neuroimage.2016.08.064] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [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: 02/19/2016] [Revised: 07/18/2016] [Accepted: 08/30/2016] [Indexed: 11/26/2022] Open
Abstract
This paper deals with EEG source localization. The aim is to perform spatially coherent focal localization and recover temporal EEG waveforms, which can be useful in certain clinical applications. A new hierarchical Bayesian model is proposed with a multivariate Bernoulli Laplacian structured sparsity prior for brain activity. This distribution approximates a mixed ℓ20 pseudo norm regularization in a Bayesian framework. A partially collapsed Gibbs sampler is proposed to draw samples asymptotically distributed according to the posterior of the proposed Bayesian model. The generated samples are used to estimate the brain activity and the model hyperparameters jointly in an unsupervised framework. Two different kinds of Metropolis-Hastings moves are introduced to accelerate the convergence of the Gibbs sampler. The first move is based on multiple dipole shifts within each MCMC chain, whereas the second exploits proposals associated with different MCMC chains. Experiments with focal synthetic data shows that the proposed algorithm is more robust and has a higher recovery rate than the weighted ℓ21 mixed norm regularization. Using real data, the proposed algorithm finds sources that are spatially coherent with state of the art methods, namely a multiple sparse prior approach and the Champagne algorithm. In addition, the method estimates waveforms showing peaks at meaningful timestamps. This information can be valuable for activity spread characterization.
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Affiliation(s)
- Facundo Costa
- University of Toulouse, INP/ENSEEIHT - IRIT, 2 rue Charles Camichel, BP 7122, 31071 Toulouse Cedex 7, France.
| | - Hadj Batatia
- University of Toulouse, INP/ENSEEIHT - IRIT, 2 rue Charles Camichel, BP 7122, 31071 Toulouse Cedex 7, France
| | - Thomas Oberlin
- University of Toulouse, INP/ENSEEIHT - IRIT, 2 rue Charles Camichel, BP 7122, 31071 Toulouse Cedex 7, France
| | | | - Jean-Yves Tourneret
- University of Toulouse, INP/ENSEEIHT - IRIT, 2 rue Charles Camichel, BP 7122, 31071 Toulouse Cedex 7, France
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Laruelo A, Chaari L, Tourneret JY, Batatia H, Ken S, Rowland B, Ferrand R, Laprie A. Spatio-spectral regularization to improve magnetic resonance spectroscopic imaging quantification. NMR Biomed 2016; 29:918-931. [PMID: 27166741 DOI: 10.1002/nbm.3532] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2015] [Revised: 03/14/2016] [Accepted: 03/15/2016] [Indexed: 06/05/2023]
Abstract
Magnetic resonance spectroscopic imaging (MRSI) is a non-invasive technique able to provide the spatial distribution of relevant biochemical compounds commonly used as biomarkers of disease. Information provided by MRSI can be used as a valuable insight for the diagnosis, treatment and follow-up of several diseases such as cancer or neurological disorders. Obtaining accurate metabolite concentrations from in vivo MRSI signals is a crucial requirement for the clinical utility of this technique. Despite the numerous publications on the topic, accurate quantification is still a challenging problem due to the low signal-to-noise ratio of the data, overlap of spectral lines and the presence of nuisance components. We propose a novel quantification method, which alleviates these limitations by exploiting a spatio-spectral regularization scheme. In contrast to previous methods, the regularization terms are not expressed directly on the parameters being sought, but on appropriate transformed domains. In order to quantify all signals simultaneously in the MRSI grid, while introducing prior information, a fast proximal optimization algorithm is proposed. Experiments on synthetic MRSI data demonstrate that the error in the estimated metabolite concentrations is reduced by a mean of 41% with the proposed scheme. Results on in vivo brain MRSI data show the benefit of the proposed approach, which is able to fit overlapping peaks correctly and to capture metabolites that are missed by single-voxel methods due to their lower concentrations. Copyright © 2016 John Wiley & Sons, Ltd.
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Affiliation(s)
- Andrea Laruelo
- Institut Claudius Regaud, Institut Universitaire du Cancer de Toulouse-Oncopole, Toulouse, France
- University of Toulouse, IRIT - INP-ENSEEIHT, Toulouse, France
| | - Lotfi Chaari
- University of Toulouse, IRIT - INP-ENSEEIHT, Toulouse, France
- MIRACL Laboratory, Sfax, Tunisia
| | | | - Hadj Batatia
- University of Toulouse, IRIT - INP-ENSEEIHT, Toulouse, France
| | - Soléakhéna Ken
- Institut Claudius Regaud, Institut Universitaire du Cancer de Toulouse-Oncopole, Toulouse, France
- INSERM UMR1214 TONIC, Toulouse, France
| | - Ben Rowland
- Institut Claudius Regaud, Institut Universitaire du Cancer de Toulouse-Oncopole, Toulouse, France
| | - Régis Ferrand
- Institut Claudius Regaud, Institut Universitaire du Cancer de Toulouse-Oncopole, Toulouse, France
| | - Anne Laprie
- Institut Claudius Regaud, Institut Universitaire du Cancer de Toulouse-Oncopole, Toulouse, France
- Université Toulouse III Paul Sabatier, Toulouse, France
- INSERM UMR1214 TONIC, Toulouse, France
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Quintero-Rincón A, Pereyra M, D’Giano C, Batatia H, Risk M. A new algorithm for epilepsy seizure onset detection and spread estimation from EEG signals. ACTA ACUST UNITED AC 2016. [DOI: 10.1088/1742-6596/705/1/012032] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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Abstract
Source localization in electroencephalography has received an increasing amount of interest in the last decade. Solving the underlying ill-posed inverse problem usually requires choosing an appropriate regularization. The usual l2 norm has been considered and provides solutions with low computational complexity. However, in several situations, realistic brain activity is believed to be focused in a few focal areas. In these cases, the l2 norm is known to overestimate the activated spatial areas. One solution to this problem is to promote sparse solutions for instance based on the l1 norm that are easy to handle with optimization techniques. In this paper, we consider the use of an l0 + l1 norm to enforce sparse source activity (by ensuring the solution has few nonzero elements) while regularizing the nonzero amplitudes of the solution. More precisely, the l0 pseudonorm handles the position of the nonzero elements while the l1 norm constrains the values of their amplitudes. We use a Bernoulli-Laplace prior to introduce this combined l0 + l1 norm in a Bayesian framework. The proposed Bayesian model is shown to favor sparsity while jointly estimating the model hyperparameters using a Markov chain Monte Carlo sampling technique. We apply the model to both simulated and real EEG data, showing that the proposed method provides better results than the l2 and l1 norms regularizations in the presence of pointwise sources. A comparison with a recent method based on multiple sparse priors is also conducted.
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Pereyra M, Batatia H, McLaughlin S. Exploiting information geometry to improve the convergence of nonparametric active contours. IEEE Trans Image Process 2015; 24:836-845. [PMID: 25532177 DOI: 10.1109/tip.2014.2383318] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
This paper presents a fast converging Riemannian steepest descent method for nonparametric statistical active contour models, with application to image segmentation. Unlike other fast algorithms, the proposed method is general and can be applied to any statistical active contour model from the exponential family, which comprises most of the models considered in the literature. This is achieved by first identifying the intrinsic statistical manifold associated with this class of active contours, and then constructing a steepest descent on that manifold. A key contribution of this paper is to derive a general and tractable closed-form analytic expression for the manifold's Riemannian metric tensor, which allows computing discrete gradient flows efficiently. The proposed methodology is demonstrated empirically and compared with other state of the art approaches on several standard test images, a phantom positron-emission-tomography scan and a B-mode echography of in-vivo human dermis.
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Didierlaurent D, Jaudet C, Ribes S, Batatia H, Dierickx LO, Zerdoud S, Brillouet S, Weyts K, Courbon F, Caselles O. Comparison of an alternative and existing binning methods to reduce the acquisition duration of 4D PET/CT. Med Phys 2014; 41:112503. [DOI: 10.1118/1.4897612] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
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Meyer N, Lauwers‐Cances V, Lourari S, Laurent J, Konstantinou M, Lagarde J, Krief B, Batatia H, Lamant L, Paul C. High‐frequency ultrasonography but not 930‐nm optical coherence tomography reliably evaluates melanoma thickness
in vivo
: a prospective validation study. Br J Dermatol 2014; 171:799-805. [DOI: 10.1111/bjd.13129] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/14/2014] [Indexed: 11/30/2022]
Affiliation(s)
- N. Meyer
- Université Paul Sabatier, Toulouse III Toulouse France
- Department of Dermatology Larrey Hospital Toulouse 30030 France
- UMR1037‐CRCT Toulouse France
| | - V. Lauwers‐Cances
- Université Paul Sabatier, Toulouse III Toulouse France
- Department of Biostatistics and Methodology CHU de Toulouse Toulouse France
| | - S. Lourari
- Université Paul Sabatier, Toulouse III Toulouse France
- Department of Dermatology Larrey Hospital Toulouse 30030 France
| | - J. Laurent
- Université Paul Sabatier, Toulouse III Toulouse France
- Department of Biostatistics and Methodology CHU de Toulouse Toulouse France
| | - M.‐P. Konstantinou
- Université Paul Sabatier, Toulouse III Toulouse France
- Department of Dermatology Larrey Hospital Toulouse 30030 France
| | | | | | | | - L. Lamant
- Université Paul Sabatier, Toulouse III Toulouse France
- UMR1037‐CRCT Toulouse France
- Department of Pathology Purpan Hospital Toulouse France
| | - C. Paul
- Université Paul Sabatier, Toulouse III Toulouse France
- Department of Dermatology Larrey Hospital Toulouse 30030 France
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Laruelo A, Fecher T, Chaari L, Ken S, Rowland B, Batatia H, Ferrand R, Simon L, Tourneret J, Laprie A. Towards Accurate and Robust MRSI Quantification to Improve the Radiation Therapy Treatment of GBM. Int J Radiat Oncol Biol Phys 2014. [DOI: 10.1016/j.ijrobp.2014.05.2292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Laruelo A, Chaari L, Batatia H, Ken S, Rowland B, Laprie A, Tourneret JY. Hybrid sparse regularization for magnetic resonance spectroscopy. Annu Int Conf IEEE Eng Med Biol Soc 2014; 2013:6768-71. [PMID: 24111297 DOI: 10.1109/embc.2013.6611110] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Magnetic resonance spectroscopy imaging (MRSI) is a powerful non-invasive tool for characterising markers of biological processes. This technique extends conventional MRI by providing an additional dimension of spectral information describing the abnormal presence or concentration of metabolites of interest. Unfortunately, in vivo MRSI suffers from poor signal-to-noise ratio limiting its clinical use for treatment purposes. This is due to the combination of a weak MR signal and low metabolite concentrations, in addition to the acquisition noise. We propose a new method that handles this challenge by efficiently denoising MRSI signals without constraining the spectral or spatial profiles. The proposed denoising approach is based on wavelet transforms and exploits the sparsity of the MRSI signals both in the spatial and frequency domains. A fast proximal optimization algorithm is then used to recover the optimal solution. Experiments on synthetic and real MRSI data showed that the proposed scheme achieves superior noise suppression (SNR increase up to 60%). In addition, this method is computationally efficient and preserves data features better than existing methods.
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Pereyra M, Dobigeon N, Batatia H, Tourneret JY. Estimating the granularity coefficient of a Potts-Markov random field within a Markov chain Monte Carlo algorithm. IEEE Trans Image Process 2013; 22:2385-2397. [PMID: 23475357 DOI: 10.1109/tip.2013.2249076] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
This paper addresses the problem of estimating the Potts parameter β jointly with the unknown parameters of a Bayesian model within a Markov chain Monte Carlo (MCMC) algorithm. Standard MCMC methods cannot be applied to this problem because performing inference on β requires computing the intractable normalizing constant of the Potts model. In the proposed MCMC method, the estimation of β is conducted using a likelihood-free Metropolis-Hastings algorithm. Experimental results obtained for synthetic data show that estimating β jointly with the other unknown parameters leads to estimation results that are as good as those obtained with the actual value of β. On the other hand, choosing an incorrect value of β can degrade estimation performance significantly. To illustrate the interest of this method, the proposed algorithm is successfully applied to real bidimensional SAR and tridimensional ultrasound images.
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Affiliation(s)
- Marcelo Pereyra
- School of Mathematics, University of Bristol, University Walk BS8 1TW, UK.
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Didierlaurent D, Ribes S, Caselles O, Jaudet C, Cazalet JM, Batatia H, Courbon F. A new respiratory gating device to improve 4D PET/CT. Med Phys 2013; 40:032501. [DOI: 10.1118/1.4789487] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
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Meyer N, Lauwers-Cances V, Lourari S, Laurent J, Batatia H, Lagarde JM, Krief B, Paul C. La tomographie en optique cohérente n’autorise pas une mesure correcte ni reproductible de l’épaisseur des mélanomes in vivo. Ann Dermatol Venereol 2012. [DOI: 10.1016/j.annder.2012.10.062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Didierlaurent D, Ribes S, Batatia H, Jaudet C, Dierickx LO, Zerdoud S, Brillouet S, Caselles O, Courbon F. The retrospective binning method improves the consistency of phase binning in respiratory-gated PET/CT. Phys Med Biol 2012; 57:7829-41. [PMID: 23135238 DOI: 10.1088/0031-9155/57/23/7829] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
This study assesses the accuracy of prospective phase-gated PET/CT data binning and presents a retrospective data binning method that improves image quality and consistency. Respiratory signals from 17 patients who underwent 4D PET/CT were analysed to evaluate the reproducibility of temporal triggers used for the standard phase-based gating method. Breathing signals were reprocessed to implement retrospective PET data binning. The mean and standard deviation of time lags between automatic triggers provided by the Real-time Position Management (RPM, Varian) gating device and inhalation peaks derived from respiratory curves were computed for each patient. The total number of respiratory cycles available for 4D PET/CT according to the binning mode (prospective versus retrospective) was compared. The maximum standardized uptake value (SUV(max)), biological tumour volume (BTV) and tumour trajectory measures were determined from the PET/CT images of five patients. Compared to retrospective binning (RB), prospective gating approach led to (i) a significant loss in breathing cycles (15%) and (ii) the inconsistency of data binning due to temporal dispersion of triggers (average 396 ms). Consequently, tumour characterization could be impacted. In retrospective mode, SUV(max) was up to 27% higher, where no significant difference appeared in BTV. In addition, prospective mode gave an inconsistent spatial location of the tumour throughout the bins. Improved consistency with breathing patterns and greater motion amplitude of the tumour centroid were observed with retrospective mode. The detection of the tumour motion and trajectory was improved also for small temporal dispersion of triggers. This study shows that the binning mode could have a significant impact on 4D PET images. The consistency of triggers with breathing signals should be checked before clinical use of gated PET/CT images, and our RB method improves 4D PET/CT image quantification.
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Affiliation(s)
- D Didierlaurent
- SIMAD, LU 50, Université Paul Sabatier Toulouse III, Toulouse, France.
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Pereyra M, Dobigeon N, Batatia H, Tourneret JY. Segmentation of skin lesions in 2-D and 3-D ultrasound images using a spatially coherent generalized Rayleigh mixture model. IEEE Trans Med Imaging 2012; 31:1509-1520. [PMID: 22434797 DOI: 10.1109/tmi.2012.2190617] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
This paper addresses the problem of jointly estimating the statistical distribution and segmenting lesions in multiple-tissue high-frequency skin ultrasound images. The distribution of multiple-tissue images is modeled as a spatially coherent finite mixture of heavy-tailed Rayleigh distributions. Spatial coherence inherent to biological tissues is modeled by enforcing local dependence between the mixture components. An original Bayesian algorithm combined with a Markov chain Monte Carlo method is then proposed to jointly estimate the mixture parameters and a label-vector associating each voxel to a tissue. More precisely, a hybrid Metropolis-within-Gibbs sampler is used to draw samples that are asymptotically distributed according to the posterior distribution of the Bayesian model. The Bayesian estimators of the model parameters are then computed from the generated samples. Simulation results are conducted on synthetic data to illustrate the performance of the proposed estimation strategy. The method is then successfully applied to the segmentation of in vivo skin tumors in high-frequency 2-D and 3-D ultrasound images.
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Affiliation(s)
- Marcelo Pereyra
- University of Toulouse, IRIT/INP-ENSEEIHT, 31071 Toulouse Cedex 7, France.
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Pereyra M, Batatia H. Modeling ultrasound echoes in skin tissues using symmetric α-stable processes. IEEE Trans Ultrason Ferroelectr Freq Control 2012; 59:60-72. [PMID: 22293736 DOI: 10.1109/tuffc.2012.2156] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
Starting from the widely accepted point-scattering model, this paper establishes, through analytical developments, that ultrasound signals backscattered from skin tissues converge to a complex Levy flight random process with non- Gaussian α-stable statistics. The envelope signal follows a generalized (heavy-tailed) Rayleigh distribution. It is shown that these signal statistics imply that scatterers have heavy-tailed power-law cross sections. This model generalizes the Gaussian framework and provides a formal representation for a new case of non-Gaussian statistics, in which both the number of scatterers and the variance of their cross sections tend to infinity. In addition, analytical expressions are derived to relate the α-stable parameters to scatterer properties. Simulations show that these expressions can be used as rigorous interpretation tools for tissue characterization. Several experimental results supported by excellent goodness-of-fit tests confirm the proposed analytical model. Finally, these fundamental results set the basis for new echography processing methods and quantitative ultrasound characterization tools.
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Affiliation(s)
- Marcelo Pereyra
- University of Toulouse, Ecole Nationale Supérieure d’Électrotechnique, d’Électronique, d’Informatique, d’Hydraulique et des Télécommunications (IRIT/INP-ENSEEIHT), Toulouse, France.
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Abstract
Characterization of biological tissues in ultrasound images is often tackled using empirical pre-Rayleigh distributions. However, the absence of a theoretical explanation to these distributions hinders their improvement and clinical interpretation. This paper presents a novel model that extends classic statistical theories to speckle in biological tissues and explains the existing pre-Rayleigh distributions. Furthermore, statistics derived from the proposed model outperform the state of the art in skin tissue characterization. Finally, promising results in characterization of skin melanoma tumors set the basis for the development of reliable ultrasound-based diagnosis techniques.
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