An Investigation of the Association between 3D Spinal Alignment and Fibromyalgia
Fibromyalgia syndrome (FMS) is a common condition lacking strong diagnostic criteria; these criteria continue to evolve as more and more studies are performed to explore it. This investigation sought to identify whether participants with FMS have more frequent and larger postural/spinal displacement...
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| Format: | Article |
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MDPI AG
2022-12-01
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| Series: | Journal of Clinical Medicine |
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| Online Access: | https://www.mdpi.com/2077-0383/12/1/218 |
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| author | Amal Ahbouch Ibrahim M. Moustafa Tamer Shousha Ashokan Arumugam Paul Oakley Deed E. Harrison |
| author_facet | Amal Ahbouch Ibrahim M. Moustafa Tamer Shousha Ashokan Arumugam Paul Oakley Deed E. Harrison |
| author_sort | Amal Ahbouch |
| collection | DOAJ |
| description | Fibromyalgia syndrome (FMS) is a common condition lacking strong diagnostic criteria; these criteria continue to evolve as more and more studies are performed to explore it. This investigation sought to identify whether participants with FMS have more frequent and larger postural/spinal displacements in comparison to a matched control group without the condition of FMS. A total of 67 adults (55 females) out of 380 participants with FMS were recruited. Participants with FMS were sex- and age-matched with 67 asymptomatic participants (controls) without FMS. We used a three-dimensional (3D) postural assessment device (Formetric system) to analyze five posture variables in each participant in both groups: (1) thoracic kyphotic angle, (2) trunk imbalance, (3) trunk inclination, (4) lumbar lordotic angle, and (5) vertebral rotation. In order to determine whether 3D postural measures could predict the likelihood of a participant having FMS, we applied the matched-pairs binary logistic regression analysis. The 3D posture measures identified statistically and clinically significant differences between the FMS and control groups for each of the five posture variables measured (<i>p</i> < 0.001). For three out of five posture measurements assessed, the binary logistic regression identified there was an increased probability of having FMS with an increased: (1) thoracic kyphotic angle proportional odds ratio [Prop OR] = 1.76 (95% CI = 1.03, 3.02); (2) sagittal imbalance Prop OR = 1.54 (95% CI = 0.973, 2.459); and (3) surface rotation Prop OR = 7.9 (95% CI = 1.494, 41.97). We identified no significant probability of having FMS for the following two postural measurements: (1) coronal balance (<i>p</i> = 0.50) and (2) lumbar lordotic angle (<i>p</i> = 0.10). Our study’s findings suggest there is a strong relationship between 3D spinal misalignment and the diagnosis of FMS. In fact, our results support that thoracic kyphotic angle, sagittal imbalance, and surface rotation are predictors of having FMS. |
| first_indexed | 2024-03-11T09:57:19Z |
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| institution | Directory Open Access Journal |
| issn | 2077-0383 |
| language | English |
| last_indexed | 2024-03-11T09:57:19Z |
| publishDate | 2022-12-01 |
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| series | Journal of Clinical Medicine |
| spelling | doaj.art-c856c928b2bb4c9e9abbe40f5deca8ae2023-11-16T15:43:05ZengMDPI AGJournal of Clinical Medicine2077-03832022-12-0112121810.3390/jcm12010218An Investigation of the Association between 3D Spinal Alignment and FibromyalgiaAmal Ahbouch0Ibrahim M. Moustafa1Tamer Shousha2Ashokan Arumugam3Paul Oakley4Deed E. Harrison5Department of Physiotherapy, College of Health Sciences, University of Sharjah, Sharjah 27272, United Arab EmiratesDepartment of Physiotherapy, College of Health Sciences, University of Sharjah, Sharjah 27272, United Arab EmiratesDepartment of Physiotherapy, College of Health Sciences, University of Sharjah, Sharjah 27272, United Arab EmiratesDepartment of Physiotherapy, College of Health Sciences, University of Sharjah, Sharjah 27272, United Arab EmiratesCBP Nonprofit (a Spine Research Foundation), Eagle, ID 83616, USACBP Nonprofit (a Spine Research Foundation), Eagle, ID 83616, USAFibromyalgia syndrome (FMS) is a common condition lacking strong diagnostic criteria; these criteria continue to evolve as more and more studies are performed to explore it. This investigation sought to identify whether participants with FMS have more frequent and larger postural/spinal displacements in comparison to a matched control group without the condition of FMS. A total of 67 adults (55 females) out of 380 participants with FMS were recruited. Participants with FMS were sex- and age-matched with 67 asymptomatic participants (controls) without FMS. We used a three-dimensional (3D) postural assessment device (Formetric system) to analyze five posture variables in each participant in both groups: (1) thoracic kyphotic angle, (2) trunk imbalance, (3) trunk inclination, (4) lumbar lordotic angle, and (5) vertebral rotation. In order to determine whether 3D postural measures could predict the likelihood of a participant having FMS, we applied the matched-pairs binary logistic regression analysis. The 3D posture measures identified statistically and clinically significant differences between the FMS and control groups for each of the five posture variables measured (<i>p</i> < 0.001). For three out of five posture measurements assessed, the binary logistic regression identified there was an increased probability of having FMS with an increased: (1) thoracic kyphotic angle proportional odds ratio [Prop OR] = 1.76 (95% CI = 1.03, 3.02); (2) sagittal imbalance Prop OR = 1.54 (95% CI = 0.973, 2.459); and (3) surface rotation Prop OR = 7.9 (95% CI = 1.494, 41.97). We identified no significant probability of having FMS for the following two postural measurements: (1) coronal balance (<i>p</i> = 0.50) and (2) lumbar lordotic angle (<i>p</i> = 0.10). Our study’s findings suggest there is a strong relationship between 3D spinal misalignment and the diagnosis of FMS. In fact, our results support that thoracic kyphotic angle, sagittal imbalance, and surface rotation are predictors of having FMS.https://www.mdpi.com/2077-0383/12/1/218fibromyalgiaposturepredictionregression analysisformetric analysis |
| spellingShingle | Amal Ahbouch Ibrahim M. Moustafa Tamer Shousha Ashokan Arumugam Paul Oakley Deed E. Harrison An Investigation of the Association between 3D Spinal Alignment and Fibromyalgia Journal of Clinical Medicine fibromyalgia posture prediction regression analysis formetric analysis |
| title | An Investigation of the Association between 3D Spinal Alignment and Fibromyalgia |
| title_full | An Investigation of the Association between 3D Spinal Alignment and Fibromyalgia |
| title_fullStr | An Investigation of the Association between 3D Spinal Alignment and Fibromyalgia |
| title_full_unstemmed | An Investigation of the Association between 3D Spinal Alignment and Fibromyalgia |
| title_short | An Investigation of the Association between 3D Spinal Alignment and Fibromyalgia |
| title_sort | investigation of the association between 3d spinal alignment and fibromyalgia |
| topic | fibromyalgia posture prediction regression analysis formetric analysis |
| url | https://www.mdpi.com/2077-0383/12/1/218 |
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