Can static foot posture measurements predict regional plantar surface area?

Predictive factors for foot pain in the adult population

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.

New Distinct Component Patterns for Plantar Pressure Variables by Using Principal Component Analysis

BACKGROUND

It is important to determine the plantar pressure distribution of schoolchildren by applying static and dynamic foot analyses using a pedobarography device. However, it is difficult to obtain clear interpretations from results that can be explained by a large number of plantar pressure variables. The aim of this study was to use principal component analysis (PCA) to predict the main components for reducing the size of big data sets, provide a practical overview, and minimize information loss on the subject of plantar pressure assessment in youths.

METHODS

In total, 112 schoolchildren were included in the study (mean ± SD: age, 10.58 ± 1.27 years; body mass index, 18.86 ± 4.33). During the research, a pedobarography device was used to obtain plantar pressure data. Each foot was divided into six anatomical regions and evaluated. Global and regional plantar pressure distributions, load and surface areas, pressure-time integrals, weight ratios, and geometric foot properties were calculated.

RESULTS

The PCA yielded ten principal components that together account for 81.88% of the variation in the data set and represent new and distinct patterns. Thus, 137 variables affecting the subject were reduced to ten components.

CONCLUSIONS

The numerous variables that affect static and dynamic plantar pressure distributions can be reduced to ten components by PCA, making the research results more concise and understandable.

Acute effect of taping on plantar pressure characteristics in athletes with exercise-induced leg pain: a description and comparison of groups

OBJECTIVES

Foot pronation is considered as a potential risk factor of lower leg overuse injury. This study aimed to identify plantar pressure characteristics of elite athletes with exercise-induced leg pain in throwing athletic disciplines, and to verify the acute effect of taping for restricting foot pronation by analyzing the plantar pressure characteristics.

METHODS

This study was designed as a description and comparison of throwing athletic athletes. Participants were divided into exercise-induced leg pain (ELP group, n = 17) and control groups (CON group, n = 14). Plantar pressure variables (contact area, maximum force, and peak pressure) at eight-foot regions in athletes' supporting leg were recorded during standing on one leg and a natural walk before and after applying anti-pronation or sham taping techniques.

RESULTS

There are significant difference of contact area, maximal force, and peak pressure in some regions of their foot between the ELP and CON groups. But the anti-pronation taping decreased only the peak pressure in lateral midfoot of CON group during a natural walk (p = 0.002).

CONCLUSION

The anti-pronation taping technique may not be effective preventive strategy from the exercise-induced leg pain, such as shin splints.