Literature DB >> 30987983

International normative data for paediatric foot posture assessment: a cross-sectional investigation.

Gabriel Gijon-Nogueron1,2, Alfonso Martinez-Nova3, Pilar Alfageme-Garcia3, Jesus Montes-Alguacil1, Angela Margaret Evans4.   

Abstract

OBJECTIVES: The foot posture index (FPI) is an observational tool designed to measure the position of the foot. The objective of this study was to establish international reference data for foot posture across childhood, and influence of body mass index (BMI) on paediatric foot posture.
DESIGN: Cross-sectional study. SETTING AND PARTICIPANTS: The dataset comprised 3217 healthy children, aged from 3 to 15 years. Contributing data were acquired from Spain, UK and Australia.
INTERVENTIONS: Foot posture was described by means and z-score of the FPI and the height and weight of each subject was measured and the BMI was calculated.
RESULTS: The foot posture of 3217 children were reviewed. A pronated (FPI ≥+6) foot posture was found in 960 (29.8%) children, a normal (FPI 0 to +6) foot posture in 1776 (55.2%) and a highly pronated (FPI +10) foot posture was found in 127 children (3.9%) (range -4 to +12 FPI). Less than 11% were found to have a supinated foot type (n=354). Approximately 20% of children were overweight/obese, but correlation between BMI and FPI was weak and inverse (r=-0.066, p<0.01), refuting the relationship between increased body mass and flatfeet.
CONCLUSIONS: This study confirms that the 'flat' or pronated foot is the common foot posture of childhood, with FPI score of +4 (3) the average finding. Trend indicated a less flatfoot with age, although non-linear. A wide normal range of foot posture across childhood is confirmed. © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  children; flatfoot; foot; foot posture index; paediatric; posture

Mesh:

Year:  2019        PMID: 30987983      PMCID: PMC6500282          DOI: 10.1136/bmjopen-2018-023341

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


First study to measure foot posture with any method in a sample of 3217 children. Comparison between different countries strengthens the study findings. The sample does not balance the number of children from each country. The disproportionate numbers of children within each age year group.

Introduction

Paediatric foot posture is a common parental concern, a frequent presentation to clinicians and an area of dispute regarding both the need for treatment.1 2 The term ‘flatfoot’ has referred to a foot which is nearly or completely contacting the ground,3 and has been evaluated using foot posture,4 footprints,5 radiological and anthropometric measures6 and is often poorly defined.7 From a clinical practice perspective, there is no single universally accepted diagnostic technique. A systematic review8 has addressed flatfoot and clinical measures, in healthy children, finding flatfoot the expected foot posture before 8 years of age, due to young osseous structures, ligament laxity, increased adipose tissue and immature neuromuscular control.9 10 With variation, flatfoot posture reduces across a child’s first 10 years.11–13 Some children with flexible flatfeet experience lower limb pain14 with compromised gait.15 The quandary for clinicians is discerning when a child’s foot is within or outside the developmental range, so that parents may be reassured, advised to monitor with growth or to treat.16 17 Children’s foot posture has been interpreted with footprint assessments in many studies, with inference of a problematic flatfoot when the footprint area is increased. Throughout early childhood, children continue to develop a skeletal medial longitudinal foot arch,18 different from the adult population19 and altered children’s foot posture must be evaluated in context of developmental stage and the presence/absence of systemic influences, such as hypotonia and hypermobility, which may be non-specific or syndromic, for example, Down or Marfan’s syndromes. Despite the fact that paediatric flatfoot is a frequent concern,1 20 the evidence for treatment is weak. The lack of definition for flatfoot has contributed to varying opinions and a lack of consensus for best practice.21–23 There is no ‘gold standard’ for categorising foot type, with the margins of flat/rectus/ high arch often undefined. Further, few clinical measures are validated in children; hence, it is common for clinicians to make diagnostic decisions based on their personal clinical experience of foot types.24 The availability of normal reference data for paediatric foot posture, based on a valid measure, will provide a ‘benchmark’ for clinical evaluation of this frequent clinical concern. The paediatric flatfoot proforma (p-FFP) has attempted to standardise diagnoses, and direct when intervention is required, using a combination of subjective assessment points and a range of foot posture measures.17 However, the extent to which the p-FFP is used by clinicians is unknown and the proforma does not specify management techniques. Ten years ago, the foot posture index (FPI-6)25 emerged with the objective to standardise the assessment of foot posture in stance across three discrete foot regions (rearfoot, midfoot, forefoot) enabling feet to be scored and categorised. Both Evans and Karimi26 and Gijon-Nogueron et al 27 have previously utilised the FPI to investigate the paediatric foot. The FPI is a quick, and easy-to-use clinical tool, not requiring equipment. Scrutiny of the FPI demonstrates it repeatable and valid,4 with excellent interrater reliability in assessment of the paediatric foot.28 Recently, the FPI has been identified as a preferred method of paediatric foot posture measurement in future research.29

Methods

Data acquisition

Data were acquired from multiple sources where the FPI had been assessed in different children, recruited for screening studies or acting as comparative controls. Three datasets were acquired from the authors’ previous works (n=1032, n=1457, n=728).19 26 27 Measurements were taken during 2010 and 2016, some from 10 schools randomly selected from 25 schools located in the provinces of Málaga, Granada and Plasencia (Spain) (n=2489). In the UK (n=225) and Australia (n=503), two datasets were acquired from the author’s previous works investigating the reliability of clinical assessment measures (n=170),10 30 and further datasets were acquired from other authors in the UK investigating foot posture in young children (n=225),31 and Australia investigating foot posture in young children with Sever’s disease (n=303),32 and the control group from an idiopathic toe-walking study (n=30).33 A total of 3217 observations of the FPI in children aged from 3 to 15 years were collated.

Participants

The inclusion criterion across the studies was for children, of both genders, and aged between 3 and 15 years. Exclusion criteria were foot pain at the time of examination, history of injury to the lower limbs (eg, musculoskeletal injuries during the previous 6 months), congenital foot abnormalities, cerebral palsy, motor dysfunction, inflammatory disorders or foot surgery.

Protocol

Foot posture was assessed with all subjects barefoot, in a relaxed standing position using the standard protocol for the FPI.34 The FPI evaluates the multisegmental nature of foot posture in all three planes, and does not require the use of specialised equipment. Each item of the FPI is scored between −2 and +2, with the total six items referring to positions of the forefoot, midfoot and hindfoot, and the three planes of motion: (1) talar head palpation; (2) symmetry of supra and infra lateral malleolar curvature; (3) inversion/eversion of the calcaneus; (4) prominence in the region of the talonavicular joint; (5) height of the medial longitudinal arch; (6) abduction/adduction of the forefoot. The FPI score may range from −12 (highly supinated) to +12 (highly pronated). The statistical analysis was independent of the outcome assessors. The FPI assessors were blinded with the data passed directly to the database for entry and analyses. Good interobserver reliability was recorded (Intraclass correlation (ICC) 0.852–0.895) across the studies. The body mass index (BMI) was calculated from the children’s height and weight, calculated as, BMI=weight (kg)/height (m)2. In Spain, the Orbegozo35 BMI classification is used; in Australia, the Australian Health Survey36; and in UK, the National Child Measurement Programme.37 Accordingly, we classified children by their BMI score, using the systems proposed by Orbegozo, Australian Health Survey and Public Health England, allocating children to one of four categories: underweight—percentile <3 (, normal weight—percentile between 3 and 90, overweight—percentile between 90 and 97 and obesity—percentile >97, based on BMI z-score, and age.

Patient and public involvement

No patients were involved in setting the research question or the outcome measures, nor were they involved in the design or conduct of the study. No patients were asked to advise on interpretation or writing up of results. There are no plans to disseminate the results of the research to study participants.

Data analysis

Data were entered and all analyses were performed using constructed datasets in SPSS V.24 software packages. The data from the contributing studies were collated in a separate database, with statistical analysis performed by an external person, previously blind to the results. Testing for normality using a Kolmogorov-Smirnov test, found non-normal distribution of all data, indicating suitability for non-parametric analysis (Mann-Whitney U and Kruskal-Wallis). Descriptive statistics (mean, SD, minimum, maximum, frequencies) were used to examine the basic anthropometrical characteristics of the study populations. The FPI was analysed as continuous data, rather than as z-score data, and analysis of variance was conducted to determine the association between the different BMI groups (underweight, normal, overweight and obesity), gender, age and the FPI. To preserve the independence of data,25 and based on the strong correlation between FPI scores for left and right feet,38 only the left foot (chosen at random) was used in the statistical analyses, applying the Games-Howell post hoc correction to identify significant differences. With reference to the available normative data,25 three FPI-6 scores levels were used to ‘define and explore’ the range supinated (−12 to −1), neutral (0 to +5), pronated (+6 to+8) and overpronated (+9 to +12). The significance level was set at p<0.05, and all the analyses and tests were two-sided.

Results

The mean age of the study population of 3217 children was 8.67 years (SD 2.02), ranging from 3 to 15 years. The mean BMI was 19.08 kg/m2 (SD 4.05), ranging from 10.57 to 39.14 kg/m2. The mean FPI score was 4.11 (SD 2.92) and 4.20 (3.00) for left and right feet, respectively, with whole scores ranging from −4 to +12 (left and right) (figure 1, FPI right feet). The total study population gender distribution was 1699 male and 1518 female (table 1).
Figure 1

Frequency plot of FPI values (n=3217). FPI, foot posture index.

Table 1

Descriptive statistics for the amalgamated datasets

VariableNRangeMinimumMaximumMeanSD
Age (years)3217123158.672.02
BMI (kg/m2)321728.5710.5739.1419.084.05
FPI right321716−4124.203.00
FPI left321716−4124.112.92

Due to variation between the constituent datasets, main results emerged from the variables of age, BMI and FPI left. Gender ratio was 1699 males:1518 females.

BMI, body mass index; PFPI, foot posture index.

Frequency plot of FPI values (n=3217). FPI, foot posture index. Descriptive statistics for the amalgamated datasets Due to variation between the constituent datasets, main results emerged from the variables of age, BMI and FPI left. Gender ratio was 1699 males:1518 females. BMI, body mass index; PFPI, foot posture index. In the study population of 3217 children, flatfeet or pronated (FPI ≥+6) were found in 960 (29.8%) children and normal (FPI <+6) in 1776 (55.2%) children, FPI ≥+10 yielded flatfeet in 127 (3.9%) cases and supinated foot were found in 354 (11%) children. Table 2 used designated FPI categories to define and explore the range of foot posture across childhood.
Table 2

The FPI range which refer to foot posture categories were collated for each year of age

Age (years)No/age (years)FPI-6 total score—foot posture category cut-offs
SupinatedNormalPronatedHigh pronatedMean FPISDRange
321241416.383.0311
420151226.72.6011
5555341334.152.8112
638829213132144.452.8015
753651296164254.32.9316
847348271131234.012.9516
962574362175143.822.7716
1049762291123213.692.8615
1137750194119144.243.0216
1214424654874.223.2314
13331171235.182.9810
1422412603.143.4012
15263121104.193.3112
Total3217354 (11%)1776 (55.2%)960 (29.84%)127 (3.95%)4.2316

The median FPI total score across the study population was 4 (3) points, with the trend of reduced FPI with increased age confirmed.

FPI, foot posture index.

The FPI range which refer to foot posture categories were collated for each year of age The median FPI total score across the study population was 4 (3) points, with the trend of reduced FPI with increased age confirmed. FPI, foot posture index. There was strong correlation between FPI scores on left and right sides (r=0.9014, p<0.01), from which the left side was arbitrarily used for subsequent analyses. Similarly, we found little gender bias, with the mean FPI for males 4.2 (2.9), range −4 to +12, and for females, mean FPI 3.99 (2.9), range −4 to +12 (figure 2). The correlation between FPI and gender used z-score was very weak, if significant (F=4.073, p=0.04). Between countries there was significant difference (p<0.01), with Spanish children’s mean FPI=4.00 (2.9), the UK mean FPI=4.9 (3.3) and the Australian children’s mean FPI=4.7 (3.1).
Figure 2

FPI frequency plot for gender. FPI, foot posture index.

FPI frequency plot for gender. FPI, foot posture index. The general trend showed FPI scores declining with age, which supports the clinical observation of less flatfoot in older children. The frequency of FPI scores for each year of age show that the maximum FPI score =+6, in 15.2% of children (table 3).
Table 3

FPI total scores versus age year groups

FPI/age (years)–4–3–2–10123456789101112Total/n
30001100121203440221
40000100033522112020
500106371173622114155
6013624314546473869301911684388
71643394348726955903322271473536
81218364755454948892724171374473
93351155616072817892482114984625
1005314415968715439612317121794497
1113410292231485832522926141035377
12022617912719111914126530144
130000121625272230033
140120132340120210022
150120013432230320026
Total/ FPI62427592512813323863983154902201501148651273217
%0.20.70.81.87.88.710.312.012.49.815.26.84.73.52.71.60.8100

%Percentage. FPI, foot posture index; R, range.

FPI total scores versus age year groups %Percentage. FPI, foot posture index; R, range. Clinical alert is indicated for foot posture >±2 SD, representing 5% of expected abnormality. Table 4 shows the SD of the mean FPI scores and enables the mean FPI and 1 and 2 SD above and below to be referenced as normally expected for each year of age. Figure 3 displays and explores the relationship between foot posture and age across childhood for the study population, using error bars for average z-scores (95% CIs).
Table 4

FPI total scores versus age year groups, showing normal range and FPI outside normal range

Age (years)−2 SD−1 SDMean+1 SD+2 SDSample sizeSDFPI median (±1 SD)FPI median (±2 SD)Clinical alert FPI >±2 SD
30.023.607.1910.7812.78213.68 (4–12)8 (0–12)<0 or >12
41.113.766.409.0411.79202.66 (3–9)6 (0–12)<0 or >12
5−2.410.914.227.5410.68553.33 (0–6)3 (−3 to 9)< −3 or >9
6−1.371.504.367.2210.713882.94 (1–7)4 (−2 to 10)< −2 or >10
7−1.531.404.327.2410.675362.94 (1–7)4 (−2 to 10)< −2 or >10
8−1.641.334.297.2510.154732.94 (1–7)4 (−1 to 10)< −1 or >10
9−1.741.113.966.819.836252.84 (1–7)4 (−1 to 10)< −1 or >10
10−2.310.733.776.819.924973.03 (0–6)4 (−3 to 9)< −3 or >9
11−1.771.284.337.3810.203773.04 (1–7)4 (−2 to 10)< −2 or >10
12−2.430.924.267.6110.731443.34 (1–7)4 (−2 to 10)< −2 or >10
13−0.032.715.458.1911.18332.75 (2–8)5 (−1 to 11)< −1 or >11
14−3.89−0.283.326.929.92223.64 (1–7)4 (2 to 9)< −2 or >9
15−2.840.774.387.9911.18263.64 (0–8)4 (−4 to 12)<−4 or >12

FPI, foot posture index.

Figure 3

Simple error bars display the relationship between FPI and age. FPI, foot posture index.

Simple error bars display the relationship between FPI and age. FPI, foot posture index. FPI total scores versus age year groups, showing normal range and FPI outside normal range FPI, foot posture index. Significant correlation was found between BMI and age (r=0.276, p<0.01). The correlation between BMI and FPI, while also statistically significant, was very weak and also inverse (r=−0.066, p<0.01), refuting the strength of relationship between body mass and foot posture. BMI cut-points and percentiles were used to define underweight, normal weight, overweight and obese. Within the total 3217 children, 142 (4.4%) were underweight, 2407 (74.8%) were normal weight, 469 (16.1%) were overweight and 199 (6.2%) were obese (figure 4).
Figure 4

Frequency plot of BMI category versus FPI category. BMI, body mass index; FPI, foot posture index.

Frequency plot of BMI category versus FPI category. BMI, body mass index; FPI, foot posture index. Combining categories, 668 (20.8%) of all children were overweight or obese. The foot posture categories were analysed for distribution across the BMI categories (table 5). The largest overlap of FPI and BMI categories were normal weight/normal FPI range, n=1325 (41.2%); normal weight/pronated foot posture, n=728 (22.6%); overweight or obese/normal foot posture, n=383 (11.9%). Supinated feet across all BMI categories returned n=354 (11.0%). Exploring the association between the pronated foot and BMI across FPI ranges showed that 960 (29.8%) children had foot posture that was pronated, FPI>6. Of these, 44 (4.5%) were underweight, 728 (75.8%) were normal weight, 188 were overweight or obese (19.5%). Further, 127 children had highly pronated foot posture, FPI>10. Of these, 12 (9.4%) were underweight, 94 (74.0%) were normal weight and 21 (16.5%) were overweight or obese.
Table 5

FPI and BMI category distributions showing greatest concordance between normal FPI and normal BMI

UnderweightNormalOverweight or obeseTotal
SupinatedCount18a 260a 76a 354
Expected count15.6264.973.5354
NormalCount68a 1325a 383a 1776
Expected count78.41328.8368.81776
PronatedCount44a 728a 188a 960
Expected count42.4718.3199.3960
Highly pronatedCount12a 94b 21b 127
Expected count5.69526.4127
TotalCount14224076683217

Superscript letters denote a subset of FPI (left) categories whose column proportions did not differ significantly from each other at the level of 0.05.

BMI, body mass index; FPI, foot posture index.

FPI and BMI category distributions showing greatest concordance between normal FPI and normal BMI Superscript letters denote a subset of FPI (left) categories whose column proportions did not differ significantly from each other at the level of 0.05. BMI, body mass index; FPI, foot posture index.

Discussion

This study is the largest investigation to explore paediatric foot posture using the FPI, paediatric anthropometry using BMI and to analyse the regularly cited influence of increased body weight as a potentiating factor for flatfeet across childhood. This investigation of paediatric foot posture includes children aged from 3 to 15 years, superseding previous, smaller or age-limited, studies.26 27 This study confirms the pronated foot as the common foot posture of childhood, with mean FPI of +4, and 3-point SD, such that average normal FPI range for children aged 3–15 years was between the FPI range +1 to +7 (mean±SD). We found that the mean FPI scores reduced with age, in non-linear pattern, and within a wide range. The SD approximated 75% of the FPI mean at every age, confirming the considerable and normal variation in foot posture across childhood. The greatest number of children across all ages displayed FPI within the 0 to +5 FPI range, that is, normal foot posture. Next common were children with pronated feet. The least common FPI categories were either supinated or highly pronated, indicative of the foot types that should arrest the attention of clinicians, as less usual presentations. Flatfoot or pronated foot posture was generally found to decline with age, but mean reduction was non-linear and modest, from +6 at age 3 years to +3 at 14 years. Importantly, the normal FPI range of variation was broad: −1 to +11 at age 3 years, and FPI +3 to +9 at age 14 years. The relationship between increased BMI and flatfeet is again refuted by the findings of this study which found that only 16.5% of the children with highly pronated feet, were also overweight or obese. Our results contrasted with many older studies which asserted that heavier, fatter children have flatter feet. Importantly, the previous studies all assessed foot posture using a footprint-based method of foot posture assessment,5 39 40 a method which may well represent adipose tissue spread with weight bearing, rather than anatomical foot morphology, more directly evaluated using the FPI.25 26 41 While it is concerning to find that 21% of the children in this study were overweight or obese, association with flatfeet is not found. The availability of average FPI whole scores enables clinicians to inform parents as to what is ‘average’ and what is ‘normal’ at any age, as statistically defined. The availability of FPI scores within 1 SD above and below the mean, enables clinicians to confirm for parents that their child approximates with two-thirds, or 68%, of children for a specific age. Further, FPI scores within 2 SD above and below the mean, enable clinicians to inform parents that their child is within the normal 95% range, approximating one-quarter, or 27%, of same age children. Such reference data help appreciation of the range of ‘normal range’ for foot posture, similar to that for the onset of independent walking (age range of 10–16 months, mean age approximating 12–13 months).18 The focus of this investigation has been to better elucidate the normal range of foot posture across childhood, as is commonly assessed by many clinicians using the FPI. Simultaneously, the authors aimed to provide clinicians with a robust reference guide of normal values within statistical bounds. The culmination of this aim is provided as a reference table (table 4). The scale of this investigation renders its findings stronger than those of the 1000 Norms protocol for most age (years) groups, as the comparative number of participants reveals. The 1000 Norms protocol will include ages 3–9 years, 140 (20 per age year); ages 10–19 years, 160 (16 per age year).42 By comparison, this study informs for: ages 3–9 years, 2796 (20–764 per age year); ages 10–15 years, 1304 (1–634 per age year). Clinicians must move beyond flatfoot posture appearance as an indicator for intervention, and instead appreciate the range of normal variation, and only respond to more pertinent factors as outlined by the 3 quick questions screening tool (addressing pain presentations, left vs right limb symmetry, paediatric age range).20 Clinicians need to appreciate the normal range of many developmental features, yet simultaneously be alert to the level at which clinical concern should be raised. The tabulated reference guide provided from this study, will be of immediate clinical relevance. The striking finding of this study is not that paediatric flexible flatfoot is largely normal, it is that the supinated paediatric foot is far more likely to be abnormal, especially at age 3 and 4 years. An FPI of −2 or less, must be considered ‘abnormal’ until shown otherwise, as it is outside normal range at any age, and should prompt neurological assessment. Limitations of this investigation include the cross-sectional nature of the design and the ethnicity of participants (largely Caucasian). Further, the sample does not evenly represent children from each country, nor each year of age; hence, caution is indicated for ages 3–7 and 14–15 years where sampling was least. In addition, consideration that this study is a collation of smaller discrete studies, and should be consider measurement errors, although all followed the same protocol.3 Prospective data avail stronger evidence of foot posture change over time.4

Conclusions

This is the largest study of paediatric foot posture to date. Importantly, the main finding is to denounce the paediatric flatfoot as deviant. This study confirms that the ‘flat’ or pronated foot is the common foot posture of childhood, with FPI score of +4 (3) the average finding. A wide normal range of foot posture across childhood is confirmed (16 FPI points, ie, −2 to +12). The reference data produced from the findings of this study will assist clinicians in standardised decision-making. Increased paediatric BMI was not associated with flatter feet, questioning the validity of footprint-derived measures.
  37 in total

1.  Footprint analysis of flatfoot in preschool-aged children.

Authors:  Kun-Chung Chen; Chih-Jung Yeh; Jing-Fu Kuo; Ching-Lin Hsieh; Shun-Fa Yang; Chun-Hou Wang
Journal:  Eur J Pediatr       Date:  2010-10-23       Impact factor: 3.183

2.  Development and validation of a novel rating system for scoring standing foot posture: the Foot Posture Index.

Authors:  Anthony C Redmond; Jack Crosbie; Robert A Ouvrier
Journal:  Clin Biomech (Bristol, Avon)       Date:  2005-09-21       Impact factor: 2.063

Review 3.  The algorithmic approach to pediatric flexible pes planovalgus.

Authors:  Jonathan M Labovitz
Journal:  Clin Podiatr Med Surg       Date:  2006-01       Impact factor: 1.231

Review 4.  A Cochrane review of the evidence for non-surgical interventions for flexible pediatric flat feet.

Authors:  A M Evans; K Rome
Journal:  Eur J Phys Rehabil Med       Date:  2011-03       Impact factor: 2.874

5.  Prevalence of flat foot in preschool-aged children.

Authors:  Martin Pfeiffer; Rainer Kotz; Thomas Ledl; Gertrude Hauser; Maria Sluga
Journal:  Pediatrics       Date:  2006-08       Impact factor: 7.124

Review 6.  The flat-footed child -- to treat or not to treat: what is the clinician to do?

Authors:  Angela Margaret Evans
Journal:  J Am Podiatr Med Assoc       Date:  2008 Sep-Oct

7.  Foot posture development in children aged 5 to11 years: A three-year prospective study.

Authors:  Alfonso Martínez-Nova; Gabriel Gijón-Noguerón; Pilar Alfageme-García; Jesús Montes-Alguacil; Angela Margaret Evans
Journal:  Gait Posture       Date:  2018-03-26       Impact factor: 2.840

8.  Normative values for the Foot Posture Index.

Authors:  Anthony C Redmond; Yvonne Z Crane; Hylton B Menz
Journal:  J Foot Ankle Res       Date:  2008-07-31       Impact factor: 2.303

9.  The relationship between paediatric foot posture and body mass index: do heavier children really have flatter feet?

Authors:  Angela Margaret Evans; Leila Karimi
Journal:  J Foot Ankle Res       Date:  2015-08-27       Impact factor: 2.303

10.  Establishing normative foot posture index values for the paediatric population: a cross-sectional study.

Authors:  Gabriel Gijon-Nogueron; Jesus Montes-Alguacil; Pilar Alfageme-Garcia; Jose Antonio Cervera-Marin; Jose Miguel Morales-Asencio; Alfonso Martinez-Nova
Journal:  J Foot Ankle Res       Date:  2016-07-26       Impact factor: 2.303

View more
  8 in total

Review 1.  Foot orthoses for treating paediatric flat feet.

Authors:  Angela M Evans; Keith Rome; Matthew Carroll; Fiona Hawke
Journal:  Cochrane Database Syst Rev       Date:  2022-01-14

Review 2.  Foot orthoses for treating paediatric flat feet.

Authors:  Angela M Evans; Keith Rome; Matthew Carroll; Fiona Hawke
Journal:  Cochrane Database Syst Rev       Date:  2022-01-26

3.  Backpacks Effect on Foot Posture in Schoolchildren with a Neutral Foot Posture: A Three-Year Prospective Study.

Authors:  Pilar Alfageme-García; Julián Fernando Calderón-García; Alfonso Martínez-Nova; Sonia Hidalgo-Ruiz; Mariana Martínez-Álvarez; Sergio Rico-Martín
Journal:  Int J Environ Res Public Health       Date:  2020-10-07       Impact factor: 3.390

4.  Is it possible to define reference values for radiographic parameters evaluating juvenile flatfoot deformity? A case-control study.

Authors:  Johannes Hamel; Hubert Hörterer; Norbert Harrasser
Journal:  BMC Musculoskelet Disord       Date:  2020-12-11       Impact factor: 2.362

5.  Comparing Validity and Diagnostic Accuracy of Clarke's Angle and Foot Posture Index-6 to Determine Flexible Flatfoot in Adolescents: A Cross-Sectional Investigation.

Authors:  Fatma Hegazy; Emad Aboelnasr; Mohamed Abuzaid; In-Ju Kim; Yasser Salem
Journal:  J Multidiscip Healthc       Date:  2021-09-27

6.  Using a modified nominal group technique to develop complex interventions for a randomised controlled trial in children with symptomatic pes planus.

Authors:  Michael R Backhouse; Daniel J Parker; Stewart C Morison; Jenny Anderson; Sarah Cockayne; Joy A Adamson
Journal:  Trials       Date:  2022-04-11       Impact factor: 2.279

7.  Factors affecting foot posture in young adults: a cross sectional study.

Authors:  Fayaz R Khan; Mohamed F Chevidikunnan; Aseel F Mazi; Shahad F Aljawi; Fatmh H Mizan; Ejlal A BinMulayh; Kirti S Sahu; Nada S Al-Lehidan
Journal:  J Musculoskelet Neuronal Interact       Date:  2020-06-01       Impact factor: 2.041

8.  Traceable Features of Static Plantar Pressure Characteristics and Foot Postures in College Students with Hemiplegic Cerebral Palsy.

Authors:  Tong-Hsien Chow
Journal:  J Pers Med       Date:  2022-03-04
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.