The influence of population characteristics and measurement system on barefoot plantar pressures: A systematic review and meta-regression analysis |
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| Institution: | 1. Department of Orthopaedics, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan, R.O.C.;2. Department of Health-Business Administration, Fooyin University, Kaohsiung, Taiwan, R.O.C.;3. Department of Orthopedic Surgery, School of Medicine, National Yang-Ming University, Taipei, Taiwan, R.O.C.;4. Department of Medical Education and Research, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan, R.O.C.;5. School of Nursing, Fooyin University, Kaohsiung, Taiwan, R.O.C. |
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| Abstract: | BackgroundThe measurement of plantar pressure distributions during gait can provide insights into the effects of musculoskeletal disease on foot function. A range of hardware, software, and protocols are available for the collection of this type of data, with sometimes disparate and conflicting results reported between individual studies. In this systematic review and meta-regression analysis of dynamic regional peak pressures, we aimed to test if 1) the system used to obtain the pressure measurements and 2) the characteristics of the study populations had a significant effect on the results.MethodsA systematic review of the literature was undertaken to identify articles reporting regional peak plantar pressures during barefoot walking. A mixed-effects modeling approach was used to analyze the extracted data. Initially, the effect of the system used to collect the data was tested. Following this, the effect of participant characteristics on the results were analyzed, using moderators of cohort type (defined as the primary health characteristic of the participants), age, sex, and BMI.Results115 participant groups were included in the analysis. Sufficient cohorts were available to test those that consisted of healthy individuals, and those with diabetes and diabetic neuropathy. Significant differences were found between results reported by studies using different pressure measurement systems in 8 of the 16 regions analyzed. The analysis of participant characteristics revealed a number of significant relationships between regional peak pressures and participant characteristics, including: BMI and midfoot plantar pressures; elevated forefoot pressures as a result of diabetic neuropathy; and sex-differences in regional loading patterns.ConclusionsAt the level of the literature, we confirmed significant effects of disease status, age, BMI, and sex on regional peak plantar pressures. Researchers and clinicians should be aware that measurements of peak plantar pressure variables obtained from different collection equipment are not directly comparable. |
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| Keywords: | Plantar pressure measurement Pedobarography Diabetes Aging Obesity |
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