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Risk Factors for Stress Fractures in Female Runners: Results of a Survey

BACKGROUND: Few studies compare women with and without stress fractures and most focus on younger, elite runners. HYPOTHESIS/PURPOSE: Compare risk factors between female runners with and without a stress fracture history. STUDY DESIGN: Case control METHODS: An online survey targeting women age ≥18 y...

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Autores principales: Johnston, Therese E, Jakavick, Allison E, Mancuso, Caroline A, McGee, Kathleen C, Wei, Lily, Wright, Morgan L, Close, Jeremy, Shimada, Ayako, Leiby, Benjamin E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: NASMI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7872445/
https://www.ncbi.nlm.nih.gov/pubmed/33604137
http://dx.doi.org/10.26603/001c.18806
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author Johnston, Therese E
Jakavick, Allison E
Mancuso, Caroline A
McGee, Kathleen C
Wei, Lily
Wright, Morgan L
Close, Jeremy
Shimada, Ayako
Leiby, Benjamin E
author_facet Johnston, Therese E
Jakavick, Allison E
Mancuso, Caroline A
McGee, Kathleen C
Wei, Lily
Wright, Morgan L
Close, Jeremy
Shimada, Ayako
Leiby, Benjamin E
author_sort Johnston, Therese E
collection PubMed
description BACKGROUND: Few studies compare women with and without stress fractures and most focus on younger, elite runners. HYPOTHESIS/PURPOSE: Compare risk factors between female runners with and without a stress fracture history. STUDY DESIGN: Case control METHODS: An online survey targeting women age ≥18 years was distributed primarily via social media. Questions included demographics, running details, cross training, nutrition, injury history, medical/menstrual history, and medications. Women with stress fracture histories answered questions about location, number, and changes made. Data were compared between groups using t-tests, chi-square tests, or Fisher’s exact tests. Multivariable logistic regression models simultaneously investigated associations of multiple factors using backward variable selection. RESULTS: Data from 1648 respondents were analyzed. Mean age was 40 years, and 25.4% reported stress fractures. Significant differences were found between groups for days/week running, mileage/week, running pace, years running, having a coach, cycling or swimming, calorie consumption for activity, other running injuries, medical history, medication/supplement intake, age at menarche, and going ≥6 months without a menstrual period. Odds of having a stress fracture were increased with osteopenia (OR 4.14), shin splints (OR 3.24), tendon injuries (OR 1.49), running >20 miles/week (OR 1.74-1.77) compared to 11-20 miles/week, having a coach (OR 1.86), and cycling (OR 1.15). Women running 11:00-11:59 minutes/mile or slower were less likely to have a stress fracture compared to those running 9:00-9:59 minutes/mile (OR 0.43-0.54). The odds of having a stress fracture were 1.43 times higher for going ≥ 6 months without a menstrual period. Use of calcium, probiotics, and vitamin D increased odds. Post fracture, common changes made were with cross training (49%), mileage (49%), and strength training (35%). CONCLUSIONS: Multiple intrinsic and extrinsic factors were identified for female runners who sustained one or more stress fracture during running. Prospective studies are warranted to infer a cause and effect relationship amongst these variables and stress fracture risk. LEVEL OF EVIDENCE: Level IV
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spelling pubmed-78724452021-02-17 Risk Factors for Stress Fractures in Female Runners: Results of a Survey Johnston, Therese E Jakavick, Allison E Mancuso, Caroline A McGee, Kathleen C Wei, Lily Wright, Morgan L Close, Jeremy Shimada, Ayako Leiby, Benjamin E Int J Sports Phys Ther Original Research BACKGROUND: Few studies compare women with and without stress fractures and most focus on younger, elite runners. HYPOTHESIS/PURPOSE: Compare risk factors between female runners with and without a stress fracture history. STUDY DESIGN: Case control METHODS: An online survey targeting women age ≥18 years was distributed primarily via social media. Questions included demographics, running details, cross training, nutrition, injury history, medical/menstrual history, and medications. Women with stress fracture histories answered questions about location, number, and changes made. Data were compared between groups using t-tests, chi-square tests, or Fisher’s exact tests. Multivariable logistic regression models simultaneously investigated associations of multiple factors using backward variable selection. RESULTS: Data from 1648 respondents were analyzed. Mean age was 40 years, and 25.4% reported stress fractures. Significant differences were found between groups for days/week running, mileage/week, running pace, years running, having a coach, cycling or swimming, calorie consumption for activity, other running injuries, medical history, medication/supplement intake, age at menarche, and going ≥6 months without a menstrual period. Odds of having a stress fracture were increased with osteopenia (OR 4.14), shin splints (OR 3.24), tendon injuries (OR 1.49), running >20 miles/week (OR 1.74-1.77) compared to 11-20 miles/week, having a coach (OR 1.86), and cycling (OR 1.15). Women running 11:00-11:59 minutes/mile or slower were less likely to have a stress fracture compared to those running 9:00-9:59 minutes/mile (OR 0.43-0.54). The odds of having a stress fracture were 1.43 times higher for going ≥ 6 months without a menstrual period. Use of calcium, probiotics, and vitamin D increased odds. Post fracture, common changes made were with cross training (49%), mileage (49%), and strength training (35%). CONCLUSIONS: Multiple intrinsic and extrinsic factors were identified for female runners who sustained one or more stress fracture during running. Prospective studies are warranted to infer a cause and effect relationship amongst these variables and stress fracture risk. LEVEL OF EVIDENCE: Level IV NASMI 2021-02-02 /pmc/articles/PMC7872445/ /pubmed/33604137 http://dx.doi.org/10.26603/001c.18806 Text en https://creativecommons.org/licenses/by-nc-sa/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike License (4.0) (https://creativecommons.org/licenses/by-nc-sa/4.0/) which permits non-commercial use, distribution, and reproduction in any medium, provided the original author and source are credited. If you remix, transform, or build upon this work, you must distribute your contributions under the same license as the original.
spellingShingle Original Research
Johnston, Therese E
Jakavick, Allison E
Mancuso, Caroline A
McGee, Kathleen C
Wei, Lily
Wright, Morgan L
Close, Jeremy
Shimada, Ayako
Leiby, Benjamin E
Risk Factors for Stress Fractures in Female Runners: Results of a Survey
title Risk Factors for Stress Fractures in Female Runners: Results of a Survey
title_full Risk Factors for Stress Fractures in Female Runners: Results of a Survey
title_fullStr Risk Factors for Stress Fractures in Female Runners: Results of a Survey
title_full_unstemmed Risk Factors for Stress Fractures in Female Runners: Results of a Survey
title_short Risk Factors for Stress Fractures in Female Runners: Results of a Survey
title_sort risk factors for stress fractures in female runners: results of a survey
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7872445/
https://www.ncbi.nlm.nih.gov/pubmed/33604137
http://dx.doi.org/10.26603/001c.18806
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