https://orcid.org/0000-0002-7681-7450
Figures
Abstract
Background
Foot posture which forms the distal supporting structure influences on postural stability. Children with developmental coordination disorder (DCD) who are more likely to be overweight or obese may present with flat foot with symptoms that affect daily activities. The aim of this study was to compare the foot posture and body composition measures between children with and without DCD. In addition, this study aimed to investigate the relationship between foot posture and fat percentage.
Methods
Fifty-nine children with DCD (mean age = 8.07±1.10) and sixty-two typically developing children (mean age = 7.97±1.05) were recruited to the DCD and control group respectively. All children received a foot posture assessment and a whole-body dual-energy X-ray absorptiometry (DXA) scan. Foot Posture Index 6 (FPI-6) total scores, sub-scores and lower limb body composition measures including fat mass, lean mass, total mass, fat percentage and fat mass index were measured.
Results
Children with DCD revealed a significantly higher FPI-6 left (1.12; 95% CI: 0.172, 2.061) and right (1.15; 95% CI: 0.218, 2.079) total score. FPI-6 sub-scores (talar head palpation and abduction/adduction forefoot on rearfoot) illustrated significant differences between children with and without DCD. Children with DCD had a significantly higher total fat mass (1247.48g; 95% CI: 121.654, 2373.304), total fat percentage (1.82%; 95% CI: 0.115, 3.525) and fat mass index (0.56kg/m2; 95% CI: 0.036, 1.069). There was a significant relationship between FPI-6 right total score and total fat percentage.
Conclusion
The findings of this study showed that children with DCD exhibited significantly more pronated foot posture and higher body composition measures compared to typically developing children. Moreover, with FPI-6 right total score significantly related to the total fat percentage, it may require more than just detecting abnormal foot structures in children with DCD but also promoting a healthy lifestyle to prevent obesity.
Citation: Yam TTT, Fong SSM, Tsang WWN (2022) Foot posture index and body composition measures in children with and without developmental coordination disorder. PLoS ONE 17(3): e0265280. https://doi.org/10.1371/journal.pone.0265280
Editor: Shazlin Shaharudin, Universiti Sains Malaysia, MALAYSIA
Received: October 19, 2021; Accepted: February 24, 2022; Published: March 14, 2022
Copyright: © 2022 Yam et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the manuscript and its Supporting Information files.
Funding: The authors received no specific funding for this work.
Competing interests: The authors have declared that no competing interests exist.
Background
Developmental coordination disorder (DCD) is a neurodevelopmental condition which greatly affects normal activities of daily living. DCD constitutes around 6% of the school-aged population [1]. Previous studies have illustrated less competent gait and balance performances in children with DCD [2, 3]. This may be due to physiological and psychosocial factors which they exhibit greater gait parameter variability and a generally lower self-confidence in physical and functional domains.
Foot posture (neutral, pronated or supinated) is crucial to providing a solid base of support to maintain static and dynamic balance stability [4]. The shape of the sole directly influences the ground reaction force received by the foot [5]. The arches of our foot are mainly formed by the tarsal and metatarsal bones reinforced with numerous ligaments and tendons [6]. This ultimately serves to support the body weight during locomotion and other physical activities. Children typically develop an adult-like medial longitudinal arch (MLA) at the age of 4–5 years old [7].
Flat foot (pes planus) is a condition in which there is a rearfoot eversion with or without lowering of the foot arch. This may progress to symptomatic flat foot, of which daily activity functions are affected. Flat foot is particularly common in school-aged children with a prevalence rate of up to 59% [8]. This prevalence rate is even higher in children who are obese/overweight and/or with developmental delay [9–11]. The development of the foot’s posture, especially that of the MLA, which is crucial to the dissipation of ground reaction force, may be influenced by several factors including the amount of physical activity, body weight and the fatigue rate of the intrinsic foot muscles [12–14].
Obese and overweight children are twice as likely to have flat foot when compared to children with normal weight which may be a compensatory mechanism to build a thicker fat pad at the midfoot to counter the excessive body weight [15, 16]. It has been suggested that flat foot is associated with the body composition [17, 18]. More specifically the amount of muscle mass (appendicular lean mass index) [3] may be associated with the developmental of flat foot. Flat foot in children may interfere with their activities of daily living and quality of life [19]. It is imperative to investigate the prevalence of flat foot among children with DCD and its relationship to body composition measures.
The aim of this cross-sectional study was i) to compare the Foot Posture Index (6-item) (FPI-6) and body composition (fat percentage and fat mass) between children with and without DCD; and ii) to investigate the associations of FPI-6 scores and fat mass among children with DCD. We hypothesized that a more pronated foot posture would be illustrated in children with DCD than in typically developing children and a significant association between the FPI-6 total scores and fat content in children with DCD.
Methods
Participants
Children aged 6 to 9 years were recruited from Hong Kong local primary schools from May to August 2016. A total of one-hundred and twenty-one children met the criteria to participate in this study. Fifty-nine were allocated to the DCD group and sixty-two to the control group.
The two-step method was used to determine children with DCD [3]: i) select children aged 6–9 years with fine and gross motor problems that affect daily activities (DCD questionnaire (DCDQ) was used to provide additional information on motor deficits) [20]; and ii) screen and assess children using the Movement Assessment Battery for Children, 2nd edition [21] and the Diagnostic and Statistical Manual of Mental Disorders 5th Edition (DSM-V) [1]. A MABC-2 score ≤ 15th percentile indicates motor skills are below that of the expected age. Exclusion criteria included i) history of serious lower limb injuries (e.g., fractures); ii) excessive disruptive behaviour; iii) inability to follow instructions; iv) metal implants; and v) disorders which may influence the ability to maintain static posture for prolonged periods.
Ethical approval was obtained from the Human Research Ethics Committee of the University of Hong Kong and the study was conducted in the accordance with the Declaration of Helsinki (2013). Written informed consent was obtained from the children and their parents. All experimental procedures were conducted by two physiotherapists who are licensed to operate the dual-energy X-ray absorptiometry (DXA) machine.
Outcome measurements
Demographics.
Children and their parents provided the demographic information (age, sex, height, body weight, leg length) and medical history (history of lower limb injuries, comorbid conditions and disorders). Body weight was measured in kilograms using an electronic scale (A and D, UC-231, Tokyo, Japan) and height was measured in centimeters with a stadiometer (seca 213, Seca, CA, USA).
Foot Posture Index 6 (FPI-6).
The foot posture of each child was evaluated once using the FPI-6 by the same physiotherapist since it has good intra-observer reliability [22]. Children stood in a relaxed-stance position with double limb support and arms at their sides. They were instructed to stand still and look straight ahead for around 2 minutes. The FPI-6 is a valid clinical assessment on the foot posture with excellent inter-rater reliability and moderate diagnostic accuracy to determine paediatric flexible flat foot [23]. The six sub-scores include: i) talar head palpation; ii) curves above and below the lateral malleolus; iii) inversion/eversion of the calcaneus; iv) prominence in the region of the talo-navicular joint (TNJ); v) congruence of the medial longitudinal arch; and vi) abduction/adduction of forefoot on rearfoot [24]. Each item is given a score between -2 and +2 adding up to a total score of -12 to +12. Children were categorized into five representing groups based on their final score: i) highly pronated (+10 to +12); ii) pronated (+6 to +9); iii) normal (0 to +5); iv) supinated (-1 to -4); and v) highly supinated (-5 to -12).
DXA-derived body compositions.
A single whole-body DXA scan (Horizon A, Hologic Inc., Bedford, MA) was administered to each child. The children were instructed to wear loose clothing free of metal or plastic parts. As illustrated in the DXA manual [25], children were positioned in supine with palm facing down vertically at the side of the body. The big toes were in contact by internally rotating the hips. The children were told to remain still and breathe normally for the whole duration of the scan.
Statistical analyses
The sample size was calculated using the G*Power version 3.1.0. software (Franz Faul, Universitat Kiel, Germany). A previous study investigated the foot posture of children with and without patellofemoral pain syndrome with effect sizes ranging from 0.47 to 0.65 [26]. An effect size of 0.50 was used in this study to calculate the sample size with a statistical power at 80% and an alpha level of 5% (two-tailed). A minimum sample size of 51 children per group was required to detect a between-group difference.
Statistical analyses were performed using the Statistical Package for Social Science (SPSS) 23.0 software (IBM, Armonk, NY). The normality criterion was reassured with the Shapiro-Wilk test. Demographics information was compared using the independent t-test (continuous data) and the chi-square test (categorical data). The multivariate analysis of variance (MANOVA) was used to detect between-group differences in the DXA body composition outcomes and FPI-6 scores. To explore the relationship between DXA outcomes and FPI-6 scores, Pearson’s correlation coefficients (r) were used.
Results
Demographics
Table 1 illustrates the demographic characteristics of the children. There were no significant differences in age, gender, height, body weight and body mass index (BMI) between the DCD and control group. Unsurprisingly, the Movement Assessment Battery for Children, 2nd edition percentile (MABC-2 percentile) score and DCD total score were significantly different between the two groups (p < 0.001).
FPI-6 total scores
The FPI-6 sub- and total scores between the two groups are illustrated in Table 2. Results revealed a significantly higher FPI-6 total score in the DCD group (Left total score: F1,118 = 7.211, p = 0.021; Right total score: F1,118 = 5.901, p = 0.016). For both sides of FPI-6 sub-scores, talar head palpation (Left: F1,118 = 0.065, p = 0.044; Right: F1,118 = 2.755, p = 0.040) and abduction/adduction of forefoot on rearfoot (Left: F1,118 = 20.347, p = 0.018; Right: F1,118 = 24.107, p = 0.010) scores were significantly higher in the DCD group. Additionally, the prominence in the region of the TNJ score was significantly higher in the DCD group for the left side (F1,118 = 20.347, p = 0.018).
DXA body compositions
Table 2 illustrates the DXA body composition outcomes which include lower limb fat mass and lean mass. The DCD group had a significantly higher total fat mass and total fat percentage (F1,118 = 25.019, p = 0.030 and F1,118 = 25.806, p = 0.037 respectively). A similar pattern was observed when taking height into account (fat mass index) (F1,118 = 26.817, p = 0.036). However, no between-group differences were detected when investigating the limbs separately (p > 0.05).
Relationship between FPI-6 scores and DXA body compositions
Pearson’s correlation analysis revealed a significant relationship between FPI-6 right total score and total fat percentage (r = -0.281, F1,118 = 4.897, p = 0.031). Further linear regression showed that total fat percentage (t = -2.213, p = 0.031) was a significant predictor of FPI-6 right total score and accounted for 7.9% of the variance (adjusted 6.3%) (Table 3).
Discussion
The FPI-6 total scores obtained in our study (DCD: Left = 6.41 ± 3.30, Right = 6.41 ± 2.95; Control: Left = 5.29 ± 2.16, Right = 5.26 ± 2.17) were comparable and in agreement with previous studies where FPI-6 scores in children range from a mean score of 4–6 points (age 6 years) to 2–3 points (age 10–14 years) [27, 28]. The results revealed that children with DCD exhibited a 1.12 to 1.15 higher FPI-6 total score than the control group. This suggests that children with DCD are more likely to have flat foot [13] which may be the reason why children with DCD exhibit balance and gait deficits [2, 3]. When inspecting the FPI-6 sub-scores, i) talar head palpation; ii) abduction/adduction of forefoot on rearfoot; and iii) prominence in the region of the TNJ were more evident and palpable in the DCD group.
The talus, navicular and TNJ are essential body-weight-supporting foot structures which are involved in the development of flat foot [29–32]. With navicular as the keystone forming the MLA, the interaction and dynamics between talus and navicular is crucial [30]. Our results illustrate a prominence in the TNJ region sub-score on the left side with a less palpable talus on the medial aspect in children with DCD. Quantifying the navicular height is a valid and reliable way to assess static foot posture in children [31]. This may be the compensatory outcome of flat foot where the talar neck is more aligned with the sagittal foot axis, causing the collapse of the longitudinal arches [31]. Aside from the talar position, other factors such as physical activity level and body weight may be attributable to the development of flat foot [9, 16, 33].
Children with DCD often demonstrate poorer motor proficiency when compared with typically developing children. This is related to their higher body weight, higher body mass index and compromised cardiorespiratory fitness [34]. Children who are obese are two to three times more likely to develop flat foot with a pronated heel and decreased ankle dorsiflexion [11, 33]. However, studies have revealed that anthropometric measures are not indicatives of the paediatric foot posture where a higher BMI does not necessarily reflect a more pronated foot type in children [26, 35]. Thus, BMI might not be an ideal and a representable measurement when investigating the relationship between body composition and foot posture. Conversely, an increase in adiposity is associated with a flat foot, reflected by a higher arch index [17]. Furthermore, besides obese children, overweight children already display greater midfoot contact with the ground [36]. This suggests that foot structure is affected as early as preschool years in children who are either overweight or obese. Our results revealed that children with DCD illustrated a higher total fat mass (8979.90g), total fat percentage (32.34%) and fat mass index (5.39 kg/m2). The adverse changes of the foot structures will likely exacerbate if the weight condition worsens into adulthood.
Furthermore, the total fat percentage had a correlation with FPI-6 right total score in the DCD group. This agrees with the notion that adipose tissue may be associated to the changes of the foot structure. Although studies have shown that a higher BMI or body weight is not associated with a more pronated foot in children and adolescents [37, 38], excessive amount of body fat percentage significantly lowers the MLA [17]. A thicker fat pad increases the amount of deformable soft tissue forming a larger contact area and a higher pressure on the foot [39–41]. As a higher body weight is speculated to influence lower limb muscle activities [42] and pain in the foot and lower limbs [43], the weight-related flattening of MLA gives further insight on the differential muscle activation patterns in children with DCD during walking [3]. Whether a higher body weight and total fat percentage have comparable effects on plantar pressure and structure remains unknown.
Childhood obesity is a worldwide problem with motor deficits linking to higher BMI. A higher body weight influences the force distribution of the midfoot [36]. This study along with previous studies suggest that body weight and adipose content may also be attributable to the foot’s structure. This ultimately may influence more complex factors such as physical inactivity and sedentary lifestyle [44]. Since childhood obesity is five times more likely to persist into adulthood [45], this may lead to overstress to the musculoskeletal system at a later age. Furthermore, obese children who do not currently have foot structural abnormalities could at a very high risk of developing flat foot without any interventions for weight loss [38]. Thus, aside from detecting abnormal foot structures, it may just be as important to promote a healthy lifestyle to prevent obesity in children with DCD.
To the best of our knowledge, this is the first study to investigate the relationship between body composition measures and flat foot condition in children with DCD. Further research is needed to explore the influence of body composition measures and differentiate the effects of body weight, fat percentage and lean mass on foot structures.
Limitations
There are some limitations for this study. FPI-6 is a subjective-based assessment of the foot posture. Although having the same physiotherapist perform the foot assessments eliminated inter-operator error, the use of an objective measure such as pressure sensor platforms would provide more insight, with greater accuracy, on the relationship between the foot’s structure and body composition outcomes. Secondly, this study was a cross-sectional study. Thus, it does not provide information on the maturation process of the foot posture. Finally, foot posture assessments were conducted in the static standing position. The results cannot be translated to dynamic movements such as walking. Further research is required to investigate the extent of which flat foot affects locomotion in children with DCD.
Conclusion
Children with DCD are more likely to develop a more pronated foot posture (flat foot). This suggests that the positions of the talar head and TNJ should be observed closely in this population. Compared to typically developing children, children with DCD have a greater total fat mass, total fat percentage and fat mass index. Additionally, a higher total fat percentage has been revealed to be associated with a more pronated foot posture. Further research is warranted to provide more information on the influence of flat foot on locomotion, and its association with body composition measures.
Acknowledgments
The authors would like to thank the following schools: HKTA Yuen Yuen Institute Shek Wai Kok Primary School, SKH Tin Shui Wai Ling Oi Primary School, Emmanuel Primary School, Wah Yan Primary School, Heep Yunn Primary School, St. Peter’s Catholic Primary School, HHCKLA Buddhist Wisdom Primary School, Pun U Association Wah Yan Primary School.
References
- 1. American Psychiatric Association, American Psychiatric Association. Diagnostic and statistical manual of mental disorders: DSM-5. United States. 2013.
- 2. Deconinck FJ, De Clercq D, Savelsbergh GJ, Van Coster R, Oostra A, Dewitte G et al. Differences in gait between children with and without developmental coordination disorder. Motor Control. 2006;10(2):125–42. pmid:16871009
- 3. Yam TTT, Fong SSM. Leg muscle activation patterns during walking and leg lean mass are different in children with and without developmental coordination disorder. Res Dev Disabil. 2018;73:87–95. pmid:29275080
- 4. Anzai E, Nakajima K, Iwakami Y, Sato M, Ino S, Ifukube T et al. Effects of foot arch structure on postural stability. Clin Res Foot Ankle. 2014;1–5.
- 5. Boozari S, Jamshidi AA, Sanjari MA, Jafari H. Effect of functional fatigue on vertical ground-reaction force in individuals with flat feet. J Sport Rehabil. 2013;22(3):177–83. pmid:23475401
- 6. Nurzynska D, Di Meglio F, Castaldo C, Latino F, Romano V. Flatfoot in children: anatomy of decision making. Ital J Anat Embryol. 2012;98–106. pmid:23420997
- 7. Onodera AN, Sacco IC, Morioka EH, Souza PS, de Sá MR, Amadio AC. What is the best method for child longitudinal plantar arch assessment and when does arch maturation occur?. The Foot. 2008;18(3):142–9. pmid:20307428
- 8. Chang JH, Wang SH, Kuo CL, Shen HC, Hong YW, Lin LC. Prevalence of flexible flatfoot in Taiwanese school-aged children in relation to obesity, gender, and age. Eur J Pediatr. 2010;169(4):447–52. pmid:19756732
- 9. Stolzman S, Irby MB, Callahan AB, Skelton JA. Pes planus and paediatric obesity: a systematic review of the literature. Clin Obes. 2015;5(2):52–9. pmid:25808780
- 10. Chen KC, Tung LC, Tung CH, Yeh CJ, Yang JF, Wang CH. An investigation of the factors affecting flatfoot in children with delayed motor development. Res Dev Disabil. 2014;35(3):639–45. pmid:24444612
- 11. Pourghasem M, Kamali N, Farsi M, Soltanpour N. Prevalence of flatfoot among school students and its relationship with BMI. Acta Orthop Traumatol Turc. 2016 Oct 1;50(5):554–7. pmid:27760696
- 12. Ali M, Ullah MA, Amjad I. Prevalence of the flat foot in 6–10 years old school going children. Rawal Medical J. 2013;38(4):385–7.
- 13. Sadeghi‐Demneh E, Azadinia F, Jafarian F, Shamsi F, Melvin JM, Jafarpishe M et al. Flatfoot and obesity in school‐age children: a cross‐sectional study. Clin Obes. 2016;6(1):42–50. pmid:26639935
- 14. García-Pérez JA, Pérez-Soriano P, Llana S, Martínez-Nova A, Sánchez-Zuriaga D. Effect of overground vs treadmill running on plantar pressure: Influence of fatigue. Gait Posture. 2013;38(4):929–33. pmid:23746487
- 15. Chen JP, Chung MJ, Wang MJ. Flatfoot prevalence and foot dimensions of 5–to 13-year-old children in Taiwan. Foot Ankle Int. 2009;30(4):326–32. pmid:19356357
- 16. Angin S, Crofts G, Mickle KJ, Nester CJ. Ultrasound evaluation of foot muscles and plantar fascia in pes planus. Gait Posture. 2014;40(1):48–52. pmid:24630465
- 17. Wyszyńska J, Leszczak J, Podgórska-Bednarz J, Czenczek-Lewandowska E, Rachwał M, Dereń K et al. Body fat and muscle mass in association with foot structure in adolescents: A cross-sectional study. Int J Environ Res Public Health. 2020 Jan;17(3):811. pmid:32012971
- 18. Mahaffey R, Morrison SC, Bassett P, Drechsler WI, Cramp MC. The impact of body fat on three dimensional motion of the paediatric foot during walking. Gait Posture. 2016;44:155–60. pmid:27004650
- 19. Kothari A, Stebbins J, Zavatsky AB, Theologis T. Health-related quality of life in children with flexible flatfeet: a cross-sectional study. J Child Orthop. 2014;8(6):489–96. pmid:25376653
- 20. Wilson BN, Kaplan BJ, Crawford SG, Roberts G. The developmental coordination disorder questionnaire 2007 (DCDQ’07). 2007. Available from: http://www.dcdq.ca.
- 21. Henderson SE. Movement assessment battery for children. The Psychological Corporation. 1992.
- 22. Cornwall MW, McPoil TG, Lebec M, Vicenzino B, Wilson J. Reliability of the modified foot posture index. J Am Podiatr Med Assoc. 2008;98(1):7–13. pmid:18202328
- 23. Hegazy FA, Aboelnasr EA, Salem Y, Zaghloul AA. Validity and diagnostic accuracy of foot posture index-6 using radiographic findings as the gold standard to determine paediatric flexible flatfoot between ages of 6–18 years: a cross-sectional study. Musculoskelet Sci Pract. 2020 Apr 1;46:102107. pmid:31989966
- 24. Redmond AC, Crosbie J, Ouvrier RA. Development and validation of a novel rating system for scoring standing foot posture: the Foot Posture Index. Clin Biomech. 2006;21(1):89–98. pmid:16182419
- 25.
Hologic Inc. Horizon QDR Series User Guide.
- 26. Barton CJ, Levinger P, Crossley KM, Webster KE, Menz HB. Relationships between the Foot Posture Index and foot kinematics during gait in individuals with and without patellofemoral pain syndrome. J Foot Ankle Res. 2011 Dec;4(1):1–8. pmid:21401957
- 27. Gijon-Nogueron G, Montes-Alguacil J, Alfageme-Garcia P, Cervera-Marin JA, Morales-Asencio JM, Martinez-Nova A. Establishing normative foot posture index values for the paediatric population: a cross-sectional study. J Foot Ankle Res. 2016;9(1):1–8. pmid:27468312
- 28. de Carvalho BK, Penha PJ, Penha NL, Andrade RM, Ribeiro AP, João SM. The influence of gender and body mass index on the FPI-6 evaluated foot posture of 10-to 14-year-old school children in São Paulo, Brazil: a cross-sectional study. J Foot Ankle Res. 2017;10(1):1–7.
- 29. Louie PK, Sangeorzan BJ, Fassbind MJ, Ledoux WR. Talonavicular joint coverage and bone morphology between different foot types. J Orthop Res. 2014;32(7):958–66. pmid:24719271
- 30. Aboelnasr EA, Hegazy FA, Zaghloul AA, El-Talawy HA, Abdelazim FH. Validation of normalized truncated navicular height as a clinical assessment measure of static foot posture to determine flatfoot in children and adolescents: a cross sectional study. The Foot. 2018;37:85–90. pmid:30326417
- 31. Peeters K, Schreuer J, Burg F, Behets C, Van Bouwel S, Dereymaeker G et al. Alterated talar and navicular bone morphology is associated with pes planus deformity: A CT‐scan study. J Orthop Res. 2013;31(2):282–7. pmid:22991335
- 32. Zuil-Escobar JC, Martínez-Cepa CB, Martín-Urrialde JA, Gómez-Conesa A. Medial longitudinal arch: accuracy, reliability, and correlation between navicular drop test and footprint parameters. J Manipulative Physiol Ther. 2018 Oct 1;41(8):672–9. pmid:30573198
- 33. Butterworth PA, Landorf KB, Gilleard W, Urquhart DM, Menz HB. The association between body composition and foot structure and function: a systematic review. Obes Rev. 2014;15(4):348–57. pmid:24165357
- 34. Rivilis I, Hay J, Cairney J, Klentrou P, Liu J, Faught BE. Physical activity and fitness in children with developmental coordination disorder: a systematic review. Res Dev Disabil. 2011;32(3):894–910. pmid:21310588
- 35. Martínez-Nova A, Gijón-Noguerón G, Alfageme-García P, Montes-Alguacil J, Evans AM. Foot posture development in children aged 5 to11 years: A three-year prospective study. Gait Posture. 2018;62:280–4. pmid:29604617
- 36. Mueller S, Carlsohn A, Mueller J, Baur H, Mayer F. Influence of obesity on foot loading characteristics in gait for children aged 1 to 12 years. PloS one. 2016;11(2):e0149924. pmid:26914211
- 37. Evans AM, Karimi L. The relationship between paediatric foot posture and body mass index: do heavier children really have flatter feet? J Foot Ankle Res. 2015;8(1):1–7. pmid:25653717
- 38. Carvalho BK, Penha PJ, Penha NL, Andrade RM, Ribeiro AP, João SM. The influence of gender and body mass index on the FPI-6 evaluated foot posture of 10-to 14-year-old school children in São Paulo, Brazil: a cross-sectional study. J Foot Ankle Res. 2017 Dec;10(1):1–7.
- 39. Catan L, Amaricai E, Onofrei RR, Popoiu CM, Iacob ER, Stanciulescu CM et al. The impact of overweight and obesity on plantar pressure in children and adolescents: A systematic review. Int J Environ Res Public Health. 2020;17(18):6600. pmid:32927870
- 40. Yan S, Li R, Shi B, Wang R, Yang L. Mixed factors affecting plantar pressures and center of pressure in obese children: Obesity and flatfoot. Gait Posture. 2020 Jul 1;80:7–13. pmid:32464538
- 41. Szczepanowska-Wolowiec B, Sztandera P, Kotela I, Zak M. Body weight-dependent foot loads, assessed in terms of BMI and adiposity, in school-aged children: a cross sectional study. Sci Rep. 2020;10(1):1–1. pmid:31913322
- 42. Huang TH, Chou LW, Huang CY, Wei SW, Tsai YJ, Chen YJ. H-reflex in abductor hallucis and postural performance between flexible flatfoot and normal foot. Phys Ther Sport. 2019;37:27–33. pmid:30818085
- 43. Jiménez-Cebrián AM, Roman-Bravo PD, Morente-Bernal MF, Alonso-Ríos JA, De-la-Cruz-Torres B, Romero-Morales C et al. Influence of childhood overweight and obesity on foot and lower limb pain in a population of primary school children. Arch Med Sci. 2020.
- 44. Weihrauch-Blüher S, Wiegand S. Risk factors and implications of childhood obesity. Curr Obes Rep. 2018 Dec;7(4):254–9. pmid:30315490
- 45. Simmonds M, Llewellyn A, Owen CG, Woolacott N. Predicting adult obesity from childhood obesity: a systematic review and meta‐analysis. Obes Rev. 2016 Feb;17(2):95–107. pmid:26696565