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 ≥...

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Bibliographic Details
Main Authors: Therese E Johnston (Author), Allison E Jakavick (Author), Caroline A Mancuso (Author), Kathleen C McGee (Author), Lily Wei (Author), Morgan L Wright (Author), Jeremy Close (Author), Ayako Shimada (Author), Benjamin E Leiby (Author)
Format: Book
Published: North American Sports Medicine Institute, 2021-02-01T00:00:00Z.
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001 doaj_bb84b5549d294f9a8afbbbf6d84efdab
042 |a dc 
100 1 0 |a Therese E Johnston  |e author 
700 1 0 |a Allison E Jakavick  |e author 
700 1 0 |a Caroline A Mancuso  |e author 
700 1 0 |a Kathleen C McGee  |e author 
700 1 0 |a Lily Wei  |e author 
700 1 0 |a Morgan L Wright  |e author 
700 1 0 |a Jeremy Close  |e author 
700 1 0 |a Ayako Shimada  |e author 
700 1 0 |a Benjamin E Leiby  |e author 
245 0 0 |a Risk Factors for Stress Fractures in Female Runners: Results of a Survey 
260 |b North American Sports Medicine Institute,   |c 2021-02-01T00:00:00Z. 
500 |a 10.26603/001c.18806 
500 |a 2159-2896 
520 |a # 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 
546 |a EN 
690 |a Sports medicine 
690 |a RC1200-1245 
655 7 |a article  |2 local 
786 0 |n International Journal of Sports Physical Therapy, Vol 16, Iss 1 (2021) 
787 0 |n https://doi.org/10.26603/001c.18806 
787 0 |n https://doaj.org/toc/2159-2896 
856 4 1 |u https://doaj.org/article/bb84b5549d294f9a8afbbbf6d84efdab  |z Connect to this object online.