Predictive factors for foot pain in the adult population
Abstract Background Foot pain has been associated to factors like: fat, body mass index, age increased, female gender and the presence of pathologies. Although evidence is limited. The purpose is to determine the predictive factors for foot pain in the adult population. Methods From January to Decem...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2024-01-01
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| Series: | BMC Musculoskeletal Disorders |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12891-023-07144-9 |
| _version_ | 1827382468331700224 |
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| author | Francisco Javier Canca-Sanchez Jose Miguel Morales-Asencio Ana Belen Ortega-Avila Gabriel Gijon-Nogueron Pablo Cervera-Garvi Ana Marchena-Rodriguez Jose Carlos Canca-Sanchez |
| author_facet | Francisco Javier Canca-Sanchez Jose Miguel Morales-Asencio Ana Belen Ortega-Avila Gabriel Gijon-Nogueron Pablo Cervera-Garvi Ana Marchena-Rodriguez Jose Carlos Canca-Sanchez |
| author_sort | Francisco Javier Canca-Sanchez |
| collection | DOAJ |
| description | Abstract Background Foot pain has been associated to factors like: fat, body mass index, age increased, female gender and the presence of pathologies. Although evidence is limited. The purpose is to determine the predictive factors for foot pain in the adult population. Methods From January to December 2021, 457 patients were > 18 years, gave signed informed consent to take part to this cross sectional study. All completed demographic data and various questionnaires related to pain: Foot Function Index, EuroQoL-5D and Visual Analogue Scale (foot pain). Anthropometric measurements were obtained using McPoil platform and foot posture was assessed by the Foot Posture Index (FPI). To determine whether a volume change is a predictive factor for foot pain, a parameter was established: the volumetric index for footwear (VIF). Factors linked to the presence of pain, including the considered VIF variables, were analyzed through multivariable logistic regression. Results Among the study population, 40.7% were male and 59.3% female. The mean age of 39.06 years and a body mass index of 25.58 Kg/cm2. The logistic regression model had a classification capability of 72.4%, a sensitivity of 72.3% and a specificity of 73%, in which, the predictors considered were the variables found to have a significant association with FFI-pain > 45 points,, showed that younger women, with a higher BMI, higher values of right FPI (pronation), poorer overall perceived health and with problems in walking were more likely to experience foot pain. Conclusion Predictive factors for foot pain in the adult population include gender, age, Body Mass Index, FPI on the right foot, perceived health and mobility. Clinical implication, the presented measure aids physicians in assessing their patients´ foot pain likelihood. |
| first_indexed | 2024-03-08T14:20:04Z |
| format | Article |
| id | doaj.art-52e60dac341a4d818e43f4c6e0e0c3d3 |
| institution | Directory Open Access Journal |
| issn | 1471-2474 |
| language | English |
| last_indexed | 2024-03-08T14:20:04Z |
| publishDate | 2024-01-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Musculoskeletal Disorders |
| spelling | doaj.art-52e60dac341a4d818e43f4c6e0e0c3d32024-01-14T12:06:11ZengBMCBMC Musculoskeletal Disorders1471-24742024-01-012511710.1186/s12891-023-07144-9Predictive factors for foot pain in the adult populationFrancisco Javier Canca-Sanchez0Jose Miguel Morales-Asencio1Ana Belen Ortega-Avila2Gabriel Gijon-Nogueron3Pablo Cervera-Garvi4Ana Marchena-Rodriguez5Jose Carlos Canca-Sanchez6Faculty of Health Sciences, Department of Nursing and Podiatry, University of MalagaFaculty of Health Sciences, Department of Nursing and Podiatry, University of MalagaFaculty of Health Sciences, Department of Nursing and Podiatry, University of MalagaFaculty of Health Sciences, Department of Nursing and Podiatry, University of MalagaFaculty of Health Sciences, Department of Nursing and Podiatry, University of MalagaFaculty of Health Sciences, Department of Nursing and Podiatry, University of MalagaFaculty of Health Sciences, Department of Nursing and Podiatry, University of MalagaAbstract Background Foot pain has been associated to factors like: fat, body mass index, age increased, female gender and the presence of pathologies. Although evidence is limited. The purpose is to determine the predictive factors for foot pain in the adult population. Methods From January to December 2021, 457 patients were > 18 years, gave signed informed consent to take part to this cross sectional study. All completed demographic data and various questionnaires related to pain: Foot Function Index, EuroQoL-5D and Visual Analogue Scale (foot pain). Anthropometric measurements were obtained using McPoil platform and foot posture was assessed by the Foot Posture Index (FPI). To determine whether a volume change is a predictive factor for foot pain, a parameter was established: the volumetric index for footwear (VIF). Factors linked to the presence of pain, including the considered VIF variables, were analyzed through multivariable logistic regression. Results Among the study population, 40.7% were male and 59.3% female. The mean age of 39.06 years and a body mass index of 25.58 Kg/cm2. The logistic regression model had a classification capability of 72.4%, a sensitivity of 72.3% and a specificity of 73%, in which, the predictors considered were the variables found to have a significant association with FFI-pain > 45 points,, showed that younger women, with a higher BMI, higher values of right FPI (pronation), poorer overall perceived health and with problems in walking were more likely to experience foot pain. Conclusion Predictive factors for foot pain in the adult population include gender, age, Body Mass Index, FPI on the right foot, perceived health and mobility. Clinical implication, the presented measure aids physicians in assessing their patients´ foot pain likelihood.https://doi.org/10.1186/s12891-023-07144-9FootPainPredictiveFactorsVolume |
| spellingShingle | Francisco Javier Canca-Sanchez Jose Miguel Morales-Asencio Ana Belen Ortega-Avila Gabriel Gijon-Nogueron Pablo Cervera-Garvi Ana Marchena-Rodriguez Jose Carlos Canca-Sanchez Predictive factors for foot pain in the adult population BMC Musculoskeletal Disorders Foot Pain Predictive Factors Volume |
| title | Predictive factors for foot pain in the adult population |
| title_full | Predictive factors for foot pain in the adult population |
| title_fullStr | Predictive factors for foot pain in the adult population |
| title_full_unstemmed | Predictive factors for foot pain in the adult population |
| title_short | Predictive factors for foot pain in the adult population |
| title_sort | predictive factors for foot pain in the adult population |
| topic | Foot Pain Predictive Factors Volume |
| url | https://doi.org/10.1186/s12891-023-07144-9 |
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