Fields of study
Academic disciplines
Research groups
Research projects
Ongoing research projects
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Designing an intelligent gamified solution for treatment of scoliosis among children and adolescents
This PhD project focuses on understanding needs of youth with idiopathic scoliosis and to examine how the needs can be improved by using a digital solution – e.g. a smartphone application.
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Designing an intelligent personalized vest for scoliosis brace to improve treatment and monitoring of scoliosis in adolescents
The project will design an intelligent personalized vest for scoliosis brace with wearable sensors.
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HEYoung intervention study
The project will co-develop an intervention with end-users and conduct the initial stages of a full-scale RCT on the effectiveness of a person-centered intervention for adolescents with persistent pain.
Completed research projects
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Applying Artificial Intelligence in Developing Personalized and Sustainable Healthcare for Spinal Disorders (AID-Spine, part I)
We use machine learning methods to develop and validate prediction models for health and welfare outcomes after treatment for spinal disorders.
Publications and research
Scientific publications
Sveinall, Håkon; Brox, Jens Ivar; Engebretsen, Kaia Beck; Hoksrud, Aasne Fenne; Røe, Cecilie;
Johnsen, Marianne Bakke
(2024).
Heavy slow resistance training, radial extracorporeal shock wave therapy or advice for patients with tennis elbow in the Norwegian secondary care: a randomised controlled feasibility trial.
BMJ Open.
Vol. 14.
https://doi.org/10.1136/bmjopen-2024-085916
Strømme, Sofie Hammernes;
Guddal, Maren Hjelle
; Fenstad, Anne Marie; Visnes, Håvard; Zwart, John Anker Henrik;
Storheim, Kjersti
;
Johnsen, Marianne Bakke
(2023).
Musculoskeletal pain is not clearly associated with the risk of anterior cruciate ligament reconstruction in adolescents.
7 p.
BMJ Open sport & exercise medicine.
Vol. 9.
https://doi.org/10.1136/bmjsem-2022-001453
Sveinall, Håkon; Wenstad, Per Kristian; Fearon, Angela M.; Skyttemyr, Gjermund; Thornes, Elisabeth; Skaara, Helene Engberg; Juel, Niels Gunnar; Brox, Jens Ivar; Røe, Cecilie;
Johnsen, Marianne Bakke
(2023).
The reliability and validity of the Norwegian version of the Victorian Institute of Sports Assessment for gluteal tendinopathy questionnaire (VISA-G-Norwegian) for patients with greater trochanteric pain syndrome.
BMC Musculoskeletal Disorders.
Vol. 24.
https://doi.org/10.1186/s12891-023-06901-0
Ho, Kevin Kwan Ngai; Skarpsno, Eivind S.; Nilsen, Kristian Bernhard; Ferreira, Paulo Herrique; Pinheiro, Marina; Hopstock, Laila Arnesdatter;
Johnsen, Marianne Bakke
; Steingrímsdóttir, Ólöf Anna; Nielsen, Christopher Sivert;
Stubhaug, Audun
; Simic, Milena
(2022).
A bidirectional study of the association between insomnia, high-sensitivity C-reactive protein, and comorbid low back pain and lower limb pain.
Scandinavian Journal of Pain.
Vol. 23.
https://doi.org/10.1515/sjpain-2021-0197
Bahrami, Shahram; Hindley, Guy Frederick Lanyon; Winsvold, Bendik K S; O'Connell, Kevin Sean; Frei, Oleksandr; Shadrin, Alexey; Cheng, Weiqiu; Bettella, Francesco; Rødevand, Linn; Ødegaard, Ketil Joachim; Fan, Chun C; Pirinen, Matti J; Hautakangas, Heidi M; Martinsen, Amy; Skogholt, Anne Heidi; Brumpton, Ben Michael; Willer, Cristen J; Tronvik, Erling Andreas; Kristoffersen, Espen Saxhaug; Zwart, John Anker Henrik; Nielsen, Jonas Bille; Hagen, Knut; Nilsen, Kristian Bernhard; Hveem, Kristian; Stovner, Lars Jacob; Fritsche, Lars; Thomas, Laurent;
Pedersen, Linda Margareth
; Gabrielsen, Maiken Elvestad;
Johnsen, Marianne Bakke
; Lie, Marie; Holmen, Oddgeir Lingaas; Børte, Sigrid;
Stensland, Synne
; Zhou, Wei; Dale, Anders M.; Djurovic, Srdjan; Smeland, Olav Bjerkehagen; Andreassen, Ole
(2022).
Dissecting the shared genetic basis of migraine and mental disorders using novel statistical tools.
11 p.
Brain.
Vol. 145.
https://doi.org/10.1093/brain/awab267
Nilsen, Daniel Hoseth; Furnes, Ove Nord; Kroken, Gard; Robsahm, Trude Eid;
Johnsen, Marianne Bakke
; Engebretsen, Lars; Nordsletten, Lars; Bahr, Roald; Lie, Stein Atle
(2022).
Risk of total hip arthroplasty after elite sport: Linking 3304 former world-class athletes with the Norwegian Arthroplasty Register.
6 p.
British Journal of Sports Medicine.
Vol. 57.
https://doi.org/10.1136/bjsports-2022-105575
Hautakangas, Heidi; Winsvold, Bendik K S; Ruotsalainen, Sanni; Bjornsdottir, Gyda; Harder, Aster V. E.; Kogelman, Lisette J. A.; Thomas, Laurent; Noordam, Raymond; Benner, Christian; Gormley, Padhraig; Artto, Ville; Banasik, Karina; Bjornsdottir, Anna; Boomsma, Dorret I.; Brumpton, Ben Michael; Burgdorf, Kristoffer Sølvsten; Buring, Julie E.; Chalmer, Mona Ameri; de Boer, Irene; Dichgans, Martin; Erikstrup, Christian; Färkkilä, Markus; Gabrielsen, Maiken Elvestad; Ghanbari, Mohsen; Hagen, Knut; Häppölä, Paavo; Hottenga, Jouke-Jan; Hrafnsdottir, Maria G.; Hveem, Kristian;
Johnsen, Marianne Bakke
; Kähönen, Mika; Kristoffersen, Espen Saxhaug; Kurth, Tobias; Lehtimäki, Terho; Lighart, Lannie; Magnusson, Sigurdur H.; Malik, Rainer; Pedersen, Ole Birger; Pelzer, Nadine; Penninx, Brenda W. J. H.; Ran, Caroline; Ridker, Paul M.; Rosendaal, Frits Richard; Sigurdardottir, Gudrun R.; Skogholt, Anne Heidi; Sveinsson, Olafur A.; Thorgeirsson, Thorgeir E.; Ullum, Henrik; Zwart, John Anker Henrik; Pirinen, Matti
(2022).
Genome-wide analysis of 102,084 migraine cases identifies 123 risk loci and subtype-specific risk alleles.
Nature Genetics.
Vol. 54.
https://doi.org/10.1038/s41588-021-00990-0
Hartley, April; Sanderson, Eleanor; Granell, Raquel; Paternoster, Lavinia; Zheng, Jie; Smith, George Davey; Southam, Lorraine; Hatzikotoulas, Konstantinos; Boer, Cindy G.; Van Meurs, Joyce; Zeggini, Eleftheria; Gregson, Celia L.; Tobias, Jon H.; Stefánsdóttir, Lilja; Zhang, Yanfei; De Almeida, Rodrigo Coutinho; Wu, Tian T.; Teder-Laving, Maris; Skogholt, Anne Heidi; Terao, Chikashi; Zengini, Eleni; Alexiadis, George; Barysenka, Andrei; Bjornsdottir, Gyda; Gabrielsen, Maiken Elvestad; Gilly, Arthur; Ingvarsson, Thorvaldur;
Johnsen, Marianne Bakke
; Jonsson, Helgi Freyr; Kloppenburg, Margreet G.; Luetge, Almut; Mägi, Reedik; Mangino, Massimo; Nelissen, Rob R.G.H.H.; Shivakumar, Manu; Steinberg, Julia; Takuwa, Hiroshi; Thomas, Laurent; Tuerlings, Margo; Babis, George; Cheung, Jason Pui Yin; Samartzis, Dino; Lietman, Steve A.; Slagboom, P. Eline; Stefansson, Kari; Uitterlinden, André G.; Winsvold, Bendik K S; Zwart, John Anker Henrik; Sham, Pak Chung; Thorleifsson, Gudmar; Gaunt, Tom R.; Morris, Andrew P.; Valdes, Ana M.; Tsezou, Aspasia; Cheah, Kathryn S.E.; Ikegawa, Shiro; Hveem, Kristian; Esko, Tõnu; Wilkinson, J. Mark; Meulenbelt, Ingrid; Michael Lee, Ming Ta; Styrkársdóttir, Unnur
(2022).
Using multivariable Mendelian randomization to estimate the causal effect of bone mineral density on osteoarthritis risk, independently of body mass index.
International Journal of Epidemiology.
Vol. 51.
https://doi.org/10.1093/ije/dyab251
Wightman, Douglas P.; Jansen, Iris E.; Savage, Jeanne E.; Shadrin, Alexey; Bahrami, Shahram; Holland, Dominic; Rongve, Arvid; Børte, Sigrid; Winsvold, Bendik K S; Drange, Ole Kristian; Mitchell, Amy; Skogholt, Anne Heidi; Willer, Cristen; Bråthen, Geir; Bosnes, Ingunn; Nielsen, Jonas Bille; Fritsche, Lars; Thomas, Laurent;
Pedersen, Linda Margareth
; Gabrielsen, Maiken Elvestad;
Johnsen, Marianne Bakke
; Meisingset, Tore Wergeland; Zhou, Wei; Proitsi, Petroula; Hodges, Angela; Dobson, Richard; Velayudhan, Latha; Sealock, Julia; Davis, Lea K.; Pedersen, Nancy L.; Reynolds, Chandra A.; Karlsson, Ida K.; Magnusson, Sigurdur; Stefansson, Hreinn; Thordardottir, Steinunn; Jónsson, Pálmi V.; Snædal, Jon; Zettergren, Anna; Skoog, Ingmar; Kern, Silke; Waern, Margda; Zetterberg, Henrik; Blennow, Kaj; Stordal, Eystein; Hveem, Kristian; Zwart, John Anker Henrik; Athanasiu, Lavinia; Selnes, Per; Saltvedt, Ingvild; Sando, Sigrid Botne; Ulstein, Ingun; Djurovic, Srdjan; Fladby, Tormod; Aarsland, Dag; Selbæk, Geir; Ripke, Stephan; Stefánsson, Kári; Andreassen, Ole; Posthuma, Danielle
(2021).
A genome-wide association study with 1,126,563 individuals identifies new risk loci for Alzheimer's disease.
Nature Genetics.
Vol. 53.
https://doi.org/10.1038/s41588-021-00921-z
Boer, Cindy G.; Hatzikotoulas, Konstantinos; Southam, Lorraine; Stefánsdóttir, Lilja; Almeida, Rodrigo Coutinho de; Zhang, Yanfei; Wu, Tian T.; Zheng, Jie; Hartley, April; Teder-Laving, Maris; Skogholt, Anne Heidi; Terao, Chikashi; Zengini, Eleni; Alexiadis, George; Barysenka, Andrei; Bjornsdottir, Gyda; Gabrielsen, Maiken Elvestad; Gilly, Arthur; Ingvarsson, Thorvaldur;
Johnsen, Marianne Bakke
; Jonsson, Helgi; Kloppenburg, Margreet; Luetge, Almut; Lund, Sigrun H; Magi, Reedik; Mangino, Massimo; Nelissen, Rob G.H.H.; Shivakumar, Manu; Steinberg, Julia; Takuwa, Hiroshi; Thomas, Laurent; Tuerlings, Margo; Babis, George C.; Cheung, Jason Pui Yin; Kang, Jae Hee; Kraft, Peter; Lietman, Steven A.; Samartzis, Dino; Slagboom, P. Eline; Stefansson, Kari; Thorsteinsdottir, Unnur; Tobias, Jonathan H.; Uitterlinden, André G.; Winsvold, Bendik K S; Zwart, John Anker Henrik; Smith, George Davey; Sham, Pak Chung; Thorleifsson, Gudmar; Hveem, Kristian; Zeggini, Eleftheria
(2021).
Deciphering osteoarthritis genetics across 826,690 individuals from 9 populations.
Cell.
Vol. 184.
https://doi.org/10.1016/j.cell.2021.07.038
