The goal of this study is to determine whether improving foot strength through foot exercises and minimal footwear can provide improved outcomes over the short and long term. The main research question it aims to answer is: Can the minimal footwear intervention be used to improve the health of aging adults with plantar fasciitis?? Participants will be randomized into 2 groups. One group will receive minimal shoes and foot strengthening and foot flexibility exercises. The other group will receive supportive shoes, foot orthotic device and foot flexibility exercises. Participants' step count will also be monitored. Researchers will compare pain and physical function between the minimal footwear (MF) and the foot orthotic (FO) groups at each of the follow-up sessions.
Twenty five percent of older adults experience foot pain. Plantar fasciitis, a repetitive strain injury, is one of the most common causes of foot pain in this population. Ten percent of aging adults experience plantar fasciitis with 50% of the cases being disabling. Foot pain can lead to other problems such as reduced mobility, depression and prescription medication use, leading to a reduced quality of life. Foot pain has been related to foot weakness, reduced static and dynamic balance, and reduced walking speed in aging adults. The standard of care for plantar fasciitis is to brace the arch with foot orthoses and supportive shoes, thereby reducing the strain on the plantar fascia. However, arch support has been shown to be an ineffective long-term strategy for reducing foot pain, as well as leading to intrinsic foot muscle atrophy. As plantar fasciitis is associated with this atrophy, treating it with chronic arch support only increases the risk for recurrence. In fact, there is a 50% recurrence rate and a 45.6% risk of having plantar fasciitis 10 years after the onset of symptoms, and this risk increases with age. Minimal shoes are designed to allow the foot to function naturally, as if barefoot, which have already been successfully implemented in older adults for the treatment of knee osteoarthritis. Minimal shoes are highly flexible and lack the support of conventional footwear. This places a greater demand on the foot muscles, which promotes strengthening. Indeed, studies of gradual transitioning to walking in minimal shoes have demonstrated significant increases in intrinsic foot muscle size and strength. Stronger foot intrinsic foot muscles have been shown to reduce the strain on the plantar fascia with each step, thereby reducing the risk of developing plantar fasciitis. This is especially important in the older population who develop muscle weakness as they age. The overall objective of this study is to improve treatment interventions for plantar fasciitis in aging adults. The central hypothesis of this research is that strong intrinsic foot muscles will reduce the strain on the plantar fascia. This, in turn will result in resolution of pain, with less recurrence of plantar fasciitis than the standard of care. The investigators will test this hypothesis by comparing an intervention of stretching, foot orthoses and supportive shoes to one of foot stretching, strengthening and transition to minimal footwear. Training the foot of a patient with plantar fasciitis to function with less support is a significant paradigm shift from interventions aimed at passively supporting the foot. However, the investigators hypothesize that the dynamic stability of the foot muscles will be more effective than a static foot orthosis, that has been shown to promote foot weakening. The investigators will assess outcomes of foot pain, functional activities, and muscle strength, size and function at the 3- and 6-month follow-up, and the incidence of recurrence of plantar fasciitis at the 12 month time point.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
DOUBLE
Enrollment
138
Flexible shoes that do not provide support and exercises aimed at increasing the strength of plantar intrinsic and extrinsic foot muscles along with foot flexibility exercises aimed at increasing the range of motion of the foot and ankle
sturdy supportive shoes fitted with supportive foot orthotic devices and foot flexibility exercises aimed at increasing the range of motion of the foot and ankle
University of South Flroida
Tampa, Florida, United States
RECRUITINGFoot Health Status Questionnaire (FHSQ)
It is a self-report questionnaire that relies on participant recall over the previous 7 days. The FHSQ incorporates questions that address foot pain, function, footwear, and general health and activity levels. It is ranged from 1 to 100, where 0 indicates poor foot health and 100 is excellent foot health score. High reliability and validity have been established for it.
Time frame: Baseline
Foot Health Status Questionnaire (FHSQ)
It is a self-report questionnaire that relies on participant recall over the previous 7 days. The FHSQ incorporates questions that address foot pain, function, footwear, and general health and activity levels. It is ranged from 1 to 100, where 0 indicates poor foot health and 100 is excellent foot health score. High reliability and validity have been established for it.
Time frame: 3 months
Foot Health Status Questionnaire (FHSQ)
It is a self-report questionnaire that relies on participant recall over the previous 7 days. The FHSQ incorporates questions that address foot pain, function, footwear, and general health and activity levels. It is ranged from 1 to 100, where 0 indicates poor foot health and 100 is excellent foot health score. High reliability and validity have been established for it.
Time frame: 6 months
Foot pain
Over the past 7 days on a Numerical Pain Rating Scale from 0 -10 (with 0 being no pain and 10 being the worst pain imaginable) will be asked to participants. The questions are as below; 1. What is the worst your pain has been upon first step in the morning. 2. What is the worst your pain has been during the day. 3. Do you have any other foot or lower extremity pain that is limiting your walking?
Time frame: Baseline
Foot pain
Over the past 7 days on a Numerical Pain Rating Scale from 0 -10 (with 0 being no pain and 10 being the worst pain imaginable) will be asked to participants. The average of weekly pain will be calculated for each months. The questions are as below; 1. What is the worst your pain has been upon first step in the morning. 2. What is the worst your pain has been during the day. 3. Do you have any other foot or lower extremity pain that is limiting your walking?
Time frame: 1 month
Foot pain
Over the past 7 days on a Numerical Pain Rating Scale from 0 -10 (with 0 being no pain and 10 being the worst pain imaginable) will be asked to participants. The average of weekly pain will be calculated for each months. The questions are as below; 1. What is the worst your pain has been upon first step in the morning. 2. What is the worst your pain has been during the day. 3. Do you have any other foot or lower extremity pain that is limiting your walking?
Time frame: 2 months
Foot pain
Over the past 7 days on a Numerical Pain Rating Scale from 0 -10 (with 0 being no pain and 10 being the worst pain imaginable) will be asked to participants. The average of weekly pain will be calculated for each months. The questions are as below; 1. What is the worst your pain has been upon first step in the morning. 2. What is the worst your pain has been during the day. 3. Do you have any other foot or lower extremity pain that is limiting your walking?
Time frame: 3 months
Foot pain
Over the past 7 days on a Numerical Pain Rating Scale from 0 -10 (with 0 being no pain and 10 being the worst pain imaginable) will be asked to participants. The average of weekly pain will be calculated for each months. The questions are as below; 1. What is the worst your pain has been upon first step in the morning. 2. What is the worst your pain has been during the day. 3. Do you have any other foot or lower extremity pain that is limiting your walking?
Time frame: 4 months
Foot pain
Over the past 7 days on a Numerical Pain Rating Scale from 0 -10 (with 0 being no pain and 10 being the worst pain imaginable) will be asked to participants. The average of weekly pain will be calculated for each months. The questions are as below; 1. What is the worst your pain has been upon first step in the morning. 2. What is the worst your pain has been during the day. 3. Do you have any other foot or lower extremity pain that is limiting your walking?
Time frame: 5 months
Foot pain
Over the past 7 days on a Numerical Pain Rating Scale from 0 -10 (with 0 being no pain and 10 being the worst pain imaginable) will be asked to participants. The average of weekly pain will be calculated for each months. The questions are as below; 1. What is the worst your pain has been upon first step in the morning. 2. What is the worst your pain has been during the day. 3. Do you have any other foot or lower extremity pain that is limiting your walking?
Time frame: 6 months
Foot pain
Over the past 7 days on a Numerical Pain Rating Scale from 0 -10 (with 0 being no pain and 10 being the worst pain imaginable) will be asked to participants. The average of weekly pain will be calculated for each months. The questions are as below; 1. What is the worst your pain has been upon first step in the morning. 2. What is the worst your pain has been during the day. 3. Do you have any other foot or lower extremity pain that is limiting your walking?
Time frame: 7 months
Foot pain
Over the past 7 days on a Numerical Pain Rating Scale from 0 -10 (with 0 being no pain and 10 being the worst pain imaginable) will be asked to participants. The average of weekly pain will be calculated for each months. The questions are as below; 1. What is the worst your pain has been upon first step in the morning. 2. What is the worst your pain has been during the day. 3. Do you have any other foot or lower extremity pain that is limiting your walking?
Time frame: 8 months
Foot pain
Over the past 7 days on a Numerical Pain Rating Scale from 0 -10 (with 0 being no pain and 10 being the worst pain imaginable) will be asked to participants. The average of weekly pain will be calculated for each months. The questions are as below; 1. What is the worst your pain has been upon first step in the morning. 2. What is the worst your pain has been during the day. 3. Do you have any other foot or lower extremity pain that is limiting your walking?
Time frame: 9 months
Foot pain
Over the past 7 days on a Numerical Pain Rating Scale from 0 -10 (with 0 being no pain and 10 being the worst pain imaginable) will be asked to participants. The average of weekly pain will be calculated for each months. The questions are as below; 1. What is the worst your pain has been upon first step in the morning. 2. What is the worst your pain has been during the day. 3. Do you have any other foot or lower extremity pain that is limiting your walking?
Time frame: 10 months
Foot pain
Over the past 7 days on a Numerical Pain Rating Scale from 0 -10 (with 0 being no pain and 10 being the worst pain imaginable) will be asked to participants. The average of weekly pain will be calculated for each months. The questions are as below; 1. What is the worst your pain has been upon first step in the morning. 2. What is the worst your pain has been during the day. 3. Do you have any other foot or lower extremity pain that is limiting your walking?
Time frame: 11 months
Foot pain
Over the past 7 days on a Numerical Pain Rating Scale from 0 -10 (with 0 being no pain and 10 being the worst pain imaginable) will be asked to participants. The average of weekly pain will be calculated for each months. The questions are as below; 1. What is the worst your pain has been upon first step in the morning. 2. What is the worst your pain has been during the day. 3. Do you have any other foot or lower extremity pain that is limiting your walking?
Time frame: 12 months
Step counts
Over the past 7 days of step counts will be monitored via Garmin watch. The Garmin watch device was chosen as it has a 1 yr battery life eliminating the need for recharging and is waterproof. It can store 30 days worth of data and also syncs to an app on the participant's smart phone or computer. Therefore, we can access the data directly, eliminating the need for the participants to keep track of their data.
Time frame: Baseline
Step counts
Over the past 7 days of step counts will be monitored via Garmin watch. The average of weekly step counts will be calculated for each months. The Garmin watch device was chosen as it has a 1 yr battery life eliminating the need for recharging and is waterproof. It can store 30 days worth of data and also syncs to an app on the participant's smart phone or computer. Therefore, we can access the data directly, eliminating the need for the participants to keep track of their data.
Time frame: 1 month
Step counts
Over the past 7 days of step counts will be monitored via Garmin watch. The average of weekly step counts will be calculated for each months. The Garmin watch device was chosen as it has a 1 yr battery life eliminating the need for recharging and is waterproof. It can store 30 days worth of data and also syncs to an app on the participant's smart phone or computer. Therefore, we can access the data directly, eliminating the need for the participants to keep track of their data.
Time frame: 2 months
Step counts
Over the past 7 days of step counts will be monitored via Garmin watch. The average of weekly step counts will be calculated for each months. The Garmin watch device was chosen as it has a 1 yr battery life eliminating the need for recharging and is waterproof. It can store 30 days worth of data and also syncs to an app on the participant's smart phone or computer. Therefore, we can access the data directly, eliminating the need for the participants to keep track of their data.
Time frame: 3 months
Step counts
Over the past 7 days of step counts will be monitored via Garmin watch. The average of weekly step counts will be calculated for each months. The Garmin watch device was chosen as it has a 1 yr battery life eliminating the need for recharging and is waterproof. It can store 30 days worth of data and also syncs to an app on the participant's smart phone or computer. Therefore, we can access the data directly, eliminating the need for the participants to keep track of their data.
Time frame: 4 months
Step counts
Over the past 7 days of step counts will be monitored via Garmin watch. The average of weekly step counts will be calculated for each months. The Garmin watch device was chosen as it has a 1 yr battery life eliminating the need for recharging and is waterproof. It can store 30 days worth of data and also syncs to an app on the participant's smart phone or computer. Therefore, we can access the data directly, eliminating the need for the participants to keep track of their data.
Time frame: 5 months
Step counts
Over the past 7 days of step counts will be monitored via Garmin watch. The average of weekly step counts will be calculated for each months. The Garmin watch device was chosen as it has a 1 yr battery life eliminating the need for recharging and is waterproof. It can store 30 days worth of data and also syncs to an app on the participant's smart phone or computer. Therefore, we can access the data directly, eliminating the need for the participants to keep track of their data.
Time frame: 6 months
Step counts
Over the past 7 days of step counts will be monitored via Garmin watch. The average of weekly step counts will be calculated for each months. The Garmin watch device was chosen as it has a 1 yr battery life eliminating the need for recharging and is waterproof. It can store 30 days worth of data and also syncs to an app on the participant's smart phone or computer. Therefore, we can access the data directly, eliminating the need for the participants to keep track of their data.
Time frame: 7 months
Step counts
Over the past 7 days of step counts will be monitored via Garmin watch. The average of weekly step counts will be calculated for each months. The Garmin watch device was chosen as it has a 1 yr battery life eliminating the need for recharging and is waterproof. It can store 30 days worth of data and also syncs to an app on the participant's smart phone or computer. Therefore, we can access the data directly, eliminating the need for the participants to keep track of their data.
Time frame: 8 months
Step counts
Over the past 7 days of step counts will be monitored via Garmin watch. The average of weekly step counts will be calculated for each months. The Garmin watch device was chosen as it has a 1 yr battery life eliminating the need for recharging and is waterproof. It can store 30 days worth of data and also syncs to an app on the participant's smart phone or computer. Therefore, we can access the data directly, eliminating the need for the participants to keep track of their data.
Time frame: 9 months
Step counts
Over the past 7 days of step counts will be monitored via Garmin watch. The average of weekly step counts will be calculated for each months. The Garmin watch device was chosen as it has a 1 yr battery life eliminating the need for recharging and is waterproof. It can store 30 days worth of data and also syncs to an app on the participant's smart phone or computer. Therefore, we can access the data directly, eliminating the need for the participants to keep track of their data.
Time frame: 10 months
Step counts
Over the past 7 days of step counts will be monitored via Garmin watch. The average of weekly step counts will be calculated for each months. The Garmin watch device was chosen as it has a 1 yr battery life eliminating the need for recharging and is waterproof. It can store 30 days worth of data and also syncs to an app on the participant's smart phone or computer. Therefore, we can access the data directly, eliminating the need for the participants to keep track of their data.
Time frame: 11 months
Step counts
Over the past 7 days of step counts will be monitored via Garmin watch. The average of weekly step counts will be calculated for each months. The Garmin watch device was chosen as it has a 1 yr battery life eliminating the need for recharging and is waterproof. It can store 30 days worth of data and also syncs to an app on the participant's smart phone or computer. Therefore, we can access the data directly, eliminating the need for the participants to keep track of their data.
Time frame: 12 months
Global Rating Outcome Change (GROC)
GRC scale asks that a person assess his or her current health status, recall that status at a previous time-point. The question is as below. With respect to you previous pain, how would you describe yourself now?
Time frame: 3 months
Global Rating Outcome Change (GROC)
GROC scale asks that a person assess his or her current health status, recall that status at a previous time-point. The question is as below. With respect to you previous pain, how would you describe yourself now?
Time frame: 6 months
Patient Acceptable Symptom State (PASS)
This is a single assessment self-reported tool. The question is as below. Taking into account your previous pain status, do you consider your foot health satisfactory?
Time frame: 3 months
Patient Acceptable Symptom State (PASS)
This is a single assessment self-reported tool. The question is as below. Taking into account your previous pain status, do you consider your foot health satisfactory?
Time frame: 6 months
International Physical Activity Questionnaire (IPAQ)
It is a self-report questionnaire that quantifies physical activity over the previous 7 days. It includes questions specific to time spent walking, as well as sedentary behavior such as time spent sitting. The scale of IPAQ is between 500 -10000 MET. High reliability and validity have been established for it.
Time frame: Baseline
International Physical Activity Questionnaire (IPAQ)
It is a self-report questionnaire that quantifies physical activity over the previous 7 days. It includes questions specific to time spent walking, as well as sedentary behavior such as time spent sitting. The scale of IPAQ is between 500 -10000 MET. High reliability and validity have been established for it.
Time frame: 3 months
International Physical Activity Questionnaire (IPAQ)
It is a self-report questionnaire that quantifies physical activity over the previous 7 days. It includes questions specific to time spent walking, as well as sedentary behavior such as time spent sitting. The scale of IPAQ is between 500 -10000 MET. High reliability and validity have been established for it.
Time frame: 6 months
Static and dynamic balance
This test has been used as a measure of physical performance in older adults. Participants will stand, barefoot and on one leg, on a force plate that is at the center of a grid marked by 3 pieces of tape. They will perform maximal reaches with the non-supporting leg along each of the taped lines (Anterior, Posterior-Lateral, and Posterior-Medial). The maximum distance they reached will be measured in centimeter.
Time frame: Baseline
Static and dynamic balance
This test has been used as a measure of physical performance in older adults. Participants will stand, barefoot and on one leg, on a force plate that is at the center of a grid marked by 3 pieces of tape. They will perform maximal reaches with the non-supporting leg along each of the taped lines (Anterior, Posterior-Lateral, and Posterior-Medial). The maximum distance they reached will be measured in centimeter.
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.
Time frame: 3 months
Static and dynamic balance
This test has been used as a measure of physical performance in older adults. Participants will stand, barefoot and on one leg, on a force plate that is at the center of a grid marked by 3 pieces of tape. They will perform maximal reaches with the non-supporting leg along each of the taped lines (Anterior, Posterior-Lateral, and Posterior-Medial). The maximum distance they reached will be measured in centimeter.
Time frame: 6 months
Muscles size of cross sectional area
It will be measured with ultrasound imaging. These muscles are the flexor digitorum brevis (FDB), abductor hallicus (ABDH), abductor digiti minimi (ADM) and quadratus plantae (QP). The ultrasound probe (GE Logiq S8, 6-15Mhz linear array) with gel will be placed in alignment with internal bony landmarks (e.g. metatarsal head and navicular tuberosity) or external landmarks (e.g. 30% and 50% of leg length from knee joint line marked on the skin surface) to standardize measurement location.
Time frame: Baseline
Muscles size of cross sectional area
It will be measured with ultrasound imaging. These muscles are the flexor digitorum brevis (FDB), abductor hallicus (ABDH), abductor digiti minimi (ADM) and quadratus plantae (QP). The ultrasound probe (GE Logiq S8, 6-15Mhz linear array) with gel will be placed in alignment with internal bony landmarks (e.g. metatarsal head and navicular tuberosity) or external landmarks (e.g. 30% and 50% of leg length from knee joint line marked on the skin surface) to standardize measurement location.
Time frame: 3 months
Muscles size of cross sectional area
It will be measured with ultrasound imaging. These muscles are the flexor digitorum brevis (FDB), abductor hallicus (ABDH), abductor digiti minimi (ADM) and quadratus plantae (QP). The ultrasound probe (GE Logiq S8, 6-15Mhz linear array) with gel will be placed in alignment with internal bony landmarks (e.g. metatarsal head and navicular tuberosity) or external landmarks (e.g. 30% and 50% of leg length from knee joint line marked on the skin surface) to standardize measurement location.
Time frame: 6 months
Muscle Strength
Strength of the intrinsic muscles will be measured with a force dynamometer.
Time frame: Baseline
Muscle Strength
Strength of the intrinsic muscles will be measured with a force dynamometer.
Time frame: 3 months
Muscle Strength
Strength of the intrinsic muscles will be measured with a force dynamometer.
Time frame: 6 months