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- Author or Editor: Ana María Jimenez-Cebrian x
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Background: Of all of the lower-extremity injuries with multifactorial causes, heel pain represents the most frequent reason for visits to health-care professionals. Managing patients with heel pain can be very difficult. The purpose of this research was to identify key variables that can influence foot health in patients with heel pain.
Methods: A cross-sectional observational study was performed with 62 participants recruited from the Educational Welfare Unit of the University of Malaga, Malaga, Spain. Therapists, blinded for the study, acquired the anthropometric information and the Foot Posture Index, and participants completed the Foot Health Status Questionnaire.
Results: The most significant results reveal that there is a moderate relationship between clinical variables such as footwear and Foot Health Status Questionnaire commands such as Shoe (r = 0.515; P < .001). The most significant model domain was General Health (P < .001), with the highest determination coefficient (beta not standard = 34.05). The most significant predictable variable was body mass index (−0.110).
Conclusions: The variables that can help us manage clinical patients with heel pain are age, body mass index, footwear, and Foot Posture Index (left foot).
Background:
The Foot Posture Index (FPI) is a clinical tool for diagnosis that aims to quantify the grade of a foot position as neutral, pronated, or supinated. Its purpose is to develop a simple six-factor method for rating foot posture with an easy and quantitative result. We evaluated possible differences in the FPI by sex and the influences of age, weight, height, foot size, and body mass index (BMI) on foot posture.
Methods:
In 150 asymptomatic children (79 boys and 71 girls) aged 8 to 13 years, we determined weight, height, BMI, and FPI in the bipedal, static, and relaxed position. The FPI was obtained as the sum of the scores (–2, –1, 0, 1, 2) given to each of the six criteria.
Results:
The mean ± SD FPI value for the total sample was 5.1 ± 2.1 (boys: 5.1 ± 2.2; girls: 5.2 ± 2.0), so there were no significant differences between the sexes (P = .636). Of the 150 feet examined, none had FPI values of very supinated or highly pronated, two were supinated (1.3%), 76 neutral (50.7%), and 72 pronated (48.0%). Of the total FPI values, 7.7% can be explained by anthropometric variables: height, weight, and foot size (r 2 = 0.077; P < .010).
Conclusions:
The most frequent foot postures in the sample were neutral and pronated. Neither age nor BMI explained variations in the FPI.
Anthropometric Foot Changes During Pregnancy
A Pilot Study
Background:
Women’s feet change during pregnancy owing to hormonal and anatomical changes, thus having a strong influence on the decrease in their quality of life during pregnancy. This preliminary study aimed to value the anthropometric and positional changes that affect their feet.
Methods:
Ten pregnant women were measured during their gestational period to analyze the anthropometric changes in their feet from the 12th week of pregnancy. We examined the changes that occured in foot length, forefoot width, arch of the foot height, and the fixed position of the foot by using the Foot Posture Index, and we analyzed three intervals corresponding to pregnancy weeks 12, 24, and 34.
Results:
The most significant finding, with a reliability rate of 95%, is the decrease in internal arch height, which descends 0.65 mm (0.0394 inches) on average at the final stage of the pregnancy period. This change happened in 18 of the feet analyzed, tending toward pronation according to the measure provided by the Foot Posture Index, with a change of 3.78 points on this scale.
Conclusions:
The foot of the pregnant woman tends to flatten during gestational weeks 12 to 34, taking a more pronated posture, and the anthropometric changes in late pregnancy result in increases in foot length and forefoot width, changes that seem to be moderate. (J Am Podiatr Med Assoc 103(4): 314–321, 2013)
Background:
Planovalgus foot prevalence estimates vary widely (0.6%–77.9%). Among the many factors that may influence planovalgus foot development, much attention has been given to body mass index, especially that of children's feet; factors related to psychomotor development have been less studied. We sought to determine the presence of planovalgus foot in children and its association with anthropometric parameters and psychomotor development.
Methods:
A case-control study was conducted in Málaga, Spain, 2012–2013, of 104 schoolchildren (mean ± SD age, 7.55 ± 0.89 years; 45.2% were boys). Age, sex, body mass index, presence of valgus (valgus index, by pedigraphy), and personal history related to psychomotor development of the lower limbs (presence/absence of crawling, age at onset of crawling, age at onset of walking, use of mobility aids) were evaluated.
Results:
Of the children with obesity, 53.7% had valgus deformity in the left hindfoot (odds ratio [OR], 6.94; 95% confidence interval [CI], 2.72–17.70; P < .0001). In the right foot, the corresponding values were 54.5% (OR, 9.08; 95% CI, 3.38–24.36; P < .0001). Multivariate logistic regression showed an increased risk of left planovalgus foot in boys, in children with overweight or obesity, and in those who began walking later. For the right foot, the same risk factors applied except age at onset of walking.
Conclusions:
These results corroborate data from previous studies, which report an association between overweight and obesity and the onset of planovalgus foot in children. In addition, we identify a new risk factor: age at onset of walking.
