scholarly journals The relationship between flat feet and cavus foot with body mass index in girl students

2017 ◽  
Vol 6 (3) ◽  
pp. 15-22
Author(s):  
Behnaz Hajirezaei ◽  
Saeed Mirzaei ◽  
Ali Khezri
Keyword(s):  
Body Mass Index ◽  
Physical Education ◽  
Correlation Coefficient ◽  
Body Mass ◽  
Spearman Correlation ◽  
Flat Feet ◽  
Cavus Foot ◽  
Mirror Box ◽  
The Relationship ◽  
Girl Students

Background and Aims: The aim of this study was to investigate the relationship between flat feet and cavus foot with body mass index in girl students. Methods: The study population consisted of the Mazandaran University students that their number was 260 (130 girl college students and 130 girl students of non-physical education) formed. Sampling of participants over the two days. Height and weight of the subjects were measured, then they were placed on a mirror box and were taken the photographs of the Plantar foot. for picture Plantar foot was used of the mirror box (pedescope). data analyzed by Pearson and Spearman correlation coefficient. Results: The results of Pearson correlation coefficient test in physical education subjects showed there was no relationship the between BMI and flat feet (0.306). Also, the relationship between BMI and cavus foot was significant and direct (0.330). The results of Spearman correlation coefficient test in physical education subjects showed that the relationship between BMI and flat feet was significant (0.457). Also, there was no relationship between BMI and cavus foot (-0.026). The results in non-physical education subjects showed the relationship between BMI and flat feet was significant, but was in the opposite direction (-0.493). Also, the relationship between BMI and cavus foot was significant and direct (0.424). The results of Spearman correlation test showed that the relationship and flat feet was significant but was in the opposite direction (-0.648). Also, the relationship between BMI and cavus foot was significant (0.413). Conclusion: According to the results of this study, it seems to there was no relationship between flat feet and cavus foot with body mass index in girl students.

scholarly journals Design and Validation of the Equation for Correction of Body Mass Index

2021 ◽  
Vol 10 (3) ◽  
pp. 400-411
Author(s):  
Abbas Farjad Pezeshk ◽  
◽  
Nader Nokhodchi ◽  
Mohammad Yousefi ◽  
Saeed Ilbeigi ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Multiple Regression ◽  
Correlation Coefficient ◽  
Body Mass ◽  
Body Fat ◽  
The Body ◽  
Spearman Correlation ◽  
Body Fat Percent ◽  
The Relationship

Background and Aims: The Body Mass Index (BMI) is considered one of the most common indexes for examining the health. The purpose of this study was the design and validation of the equations for the accuracy of BMI. Methods: In the current 419 athletic and non-athletic subjects participated in this study. Anthropometrical measurement was performed using International Standard for Anthropometry and Kinanthropometry (ISAK) protocol, and mesomorphic and endomorphic calculated based on the Heath-Carter methods. The Spearman correlation coefficient was used to determine the relationship between BMI and body fat percent, mesomorphic and endomorphic values. Multiple regressions were used to predict BMI. Results: There is a high correlation between BMI with mesomorphic and endomorphic values (P<0.01), but the correlation of BMI with mesomorphic in athletic men was higher than endomorphic (0.77 vs. 0.63). Multiple regression produces some equations for predicting mesomorphic and endomorphic, and bland Altman believes that all equations predict fatness. Conclusion: According to the results, the Equations proposed in this study could appropriately turn BMI to predict body composition so that this equation could determine higher BMI because of the higher muscular mass.

Association of serum 25-hydroxy vitamin D and body mass index in cancer

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. 6625-6625
Author(s):  
D. Gupta ◽  
K. Trukova ◽  
P. G. Vashi ◽  
A. Adams ◽  
G. M. Lambert ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Vitamin D ◽  
Cancer Patients ◽  
Body Mass ◽  
Case Series ◽  
Spearman Correlation ◽  
Dietary Recommendations ◽  
25 Hydroxy Vitamin D ◽  
The Mean ◽  
The Relationship

6625 Background: The association between vitamin D and obesity remains unsettled with studies reporting conflicting findings on the relationship between the two. This association assumes even greater importance in cancer because of the alleged role of vitamin D in cancer risk and survival. Currently, the dietary recommendations for Vitamin D do not take into account a person's body mass index (BMI). We investigated the relationship between serum 25-hydroxy-vitamin D [25(OH)D] and BMI in a large sample of cancer patients. Methods: A consecutive case series of 740 cancer patients seen at Cancer Treatment Centers of America from Jan 08 to June 08. Serum 25(OH)D was measured at presentation to the hospital. The cohort was divided in 4 BMI groups (<18.5, 18.5–24.9, 25–29.9, and >30.0 kg/m2). Correlation between 25(OH)D and BMI was evaluated using Spearman correlation coefficient. Mean 25(OH)D was compared across the 4 BMI groups using ANOVA. Linear regression was used to quantify the relationship between BMI and 25(OH)D. Results: Of 740 patients, 303 were males and 437 females. The mean age at presentation was 55.7 years (SD = 10.2). The mean BMI was 27.9 kg/m2 (SD = 6.7). Most common cancers were lung (134, 18.1%), breast (131, 17.7%), colorectal (97, 13.1%), pancreas (86, 11.6%), prostate (45, 6.1%) and ovarian (39, 5.3%). The mean serum 25(OH)D was 21.9 ng/ml (SD = 13.5). Analysis revealed that as BMI groups increased from normal to overweight or obese classifications, there was a significant decrease in 25(OH)D (Table). The Spearman correlation between 25(OH)D and BMI was -0.20 (p = 0.001). Every 1 kg/m2 increase in BMI was significantly associated with a 0.43 ng/ml decline in serum 25(OH)D (p = 0.001). Conclusions: We found that obese cancer patients (BMI >=30 kg/m2) had significantly lower levels of serum 25(OH)D as compared to nonobese patients (BMI <30 kg/m2). BMI should be taken into account when assessing a patient's vitamin D status and more aggressive vitamin D supplementation should be considered in obese cancer patients. [Table: see text] No significant financial relationships to disclose.

scholarly journals Physical Self-Concept dan Body Mass Index: Hubungan dan Perbedaan berdasarkan Gender

2019 ◽  
Vol 4 (2) ◽  
pp. 127-132
Author(s):  
Iman Ermawan ◽  
Jajat Jajat ◽  
Nana Sutisna
Keyword(s):  
High School ◽  
Body Mass Index ◽  
Correlation Coefficient ◽  
Body Mass ◽  
Significant Relationship ◽  
T Test ◽  
Self Concept ◽  
Men And Women ◽  
Significant Difference ◽  
The Relationship

Penelitian ini bertujuan untuk mengkaji hubungan antara Physical Self-Concept (PSC)dengan Body Mass Index (BMI)serta perbedaan PSC dan BMI berdasarkan gender. Metode yang digunakan pada penelitian ini adalah assosiasonal (correlational dan kausal-komparatif). Sample berjumlah 59 orang siswa remaja SMA di Kabupaten Ciamis. Instrument yang digunakan untuk mengukur PSC adalah Physical Self Description Questionnaire (PSDQ). Untuk menguji hubungan antara PSC dan BMI digunakan koefisien korelasi, dan untuk uji beda digunakan independent sample t-test. Hasil pengolahan dan analisis menunjukan bahwa, (1) tidak ada hubungan yang signifikan antara PSC dan BMI (p 0.05); (2) tidak terdapat perbedaan BMI yang signifikan antara laki-laki dan perempuan (p 0.05); (3) terdapat perbedaan PSC yang signifikan  antara laki-laki dan perempuan (p 0.05).This study aims to examine the relationship between Physical Self-Concept (PSC) and Body Mass Index (BMI) and differences in PSC and BMI based on gender. The method used in this study is associational (correlational and causal-comparative). Sample amounted to 59 high school teenagers in Ciamis Regency. The instrument used to measure PSC is Physical Self Description Questionnaire (PSDQ). To test the relationship between PSC and BMI used the correlation coefficient, and for the different tests used independent sample t-test. The results of processing and analysis show that, (1) there is no significant relationship between PSC and BMI (p 0.05); (2) there was no significant difference in BMI between men and women (p 0.05); (3) there are significant differences in PSC between men and women (p 0.05).

Evaluation of Physical Activity Measured via Accelerometry in Rural Fourth-Grade Children

2000 ◽  
Vol 90 (1) ◽  
pp. 329-337 ◽  
Author(s):  
Linda M. Lemura ◽  
Joseph Andreacci ◽  
Richelle Carlonas ◽  
Jodi M. Klebez ◽  
Sara Chelland
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Physical Education ◽  
Physical Fitness ◽  
Body Mass ◽  
Research Effort ◽  
Fourth Grade ◽  
The Body ◽  
Fat Percentage ◽  
The Relationship

Interest in the benefits of exercise has prompted increased research examining the relationship between physical activity and health status in adults. More recently, considerable research effort has been directed toward the role of physical activity in young children as a precursor to adult physical fitness. The purpose of this study was to estimate the relationship between physical activity measured via accelerometry and body mass index, body mass, body composition, and physical fitness in fourth-grade boys and girls during physical education lessons. 54 fourth-grade students in rural Pennsylvania (28 girls, M age 9.6, SD = .56; 26 boys, M age 9.5, SD = .51) were subjects. Girls were significantly less active during all lessons measured ( p<.001). The results of linear regression analyses indicated that physical activity was negatively associated with body mass index, body mass, and body fat percentage ( p< .05), and positively associated with physical fitness (V̇O2max) ( p<.01). These data indicate the need for curricular intervention to motívate girls to increase their activity during structured physical education lessons and demonstrate the efficacy of the body mass index as a screening tool within the schools.

scholarly journals Body mass index in relation to prostate specific antigen-related parameters

2020 ◽  
Author(s):  
Dandan Lin ◽  
Ting Liu ◽  
Luling Chen ◽  
Zongtao Chen
Keyword(s):  
Body Mass Index ◽  
Prostate Specific Antigen ◽  
Correlation Coefficient ◽  
Body Mass ◽  
Specific Antigen ◽  
Rank Test ◽  
P Value ◽  
Chinese Adult ◽  
Medical University ◽  
The Relationship

Abstract Purpose Only a few previous studies were conducted to assess the association between body mass index (BMI) and prostate-specific antigen (PSA) related parameters which take prostate volume (PV) and blood volume (BV) into consideration. The objective of this study was to assess the relationship between BMI and parameters of PSA concentrations in Chinese adult male. Methods A total of 86,930 men who have taken annual physical examination at the First Affiliated Hospital of Army Medical University from 1 January 2011 to 31 December 2018 were included in this study. Partial Spearman correlation rank test was performed to assess the relationship between BMI, PV, BV and PSA, and analyze the correlation between BMI and PSA related parameters. Results After adjustment for age, PV (correlation coefficient = 0.227, P-value < 0.001) was positively associated with PSA levels, while BMI (correlation coefficient = -0.057, P-value < 0.001) and BV (correlation coefficient = -0.041, P-value < 0.001) were inversely correlated to PSA concentrations. The analysis also indicated that BMI positively associated with PV and BV. Furthermore, the present study identified that PSA mass (correlation coefficient = 0.001, P-value = 0.763), after adjustment for age, was not affected by obesity in Chinese men.Conclusion The findings of this large-sample, hospital-based study in China indicated that a higher BMI is associated with an increased PV and BV. BMI was negatively associated with PSA and PAS density, and no statistically significant association was found between BMI and PSA mass.

scholarly journals HUBUNGAN ANTARA AKTIVITAS FISIK DENGAN OBESITAS DI PUSKESMAS TEGALREJO, KOTA SALATIGA

2019 ◽  
Vol 10 (1) ◽  
pp. 256
Author(s):  
Jeckzen Norisan Turege ◽  
Angkit Kinasih ◽  
Maria Dyah Kurniasari
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Health Center ◽  
Correlation Coefficient ◽  
Body Mass ◽  
Pearson Correlation ◽  
P Value ◽  
Pearson Correlation Coefficient ◽  
The Relationship ◽  
Active Patients

AbstrakObesitas dapat dialami oleh semua golongan usia, maupun jenis kelamin. Kemajuan teknologi memberikan dampat positif dan negatif. Dampak positifnya banyak kegiatan menjadi lebih praktis dan cepat, sedangkan dampak negatifnya manusia menjadi semakin malas untuk bergerak. Berkurangnya aktivitas fisik mangakibatkan penyimpanan energi yang tersimpan dalam jaringan lemak, yang menyebabkan kegemukan. Tujuan dari penelitian ini adalah untuk mengetahui dan menganalisis hubungan antara aktivitas fisik dengan obesitas di Puskesmas Tegalrejo Kota Salatiga Jawa Tengah. Jenis penelitian yang digunakan yaitu penelitian deskriptif kuantitatif. Responden adalah pasien aktif di Posyandu Puskesmas Tegalrejo. Jumlah responden sebanyak 59 orang. Data yang diperoleh dalam penelitian ini adalah data primer dan data sekunder. Berdasarkan uji korelasi Indeks Massa Tubuh (IMT) terhadap nilai aktivitas fisik dengan analisis uji Pearson diperoleh p-value 0,000 < 0,05 dan nilai koefisien korelasi r pearson -0,505 yang ini menunjukkan bahwa adanya hubungan yang signifikan antara Indeks Massa Tubuh (IMT) dengan aktivitas fisik pada pasien aktif di Posyandu Puskesmas Tegalrejo, Kota Salatiga. Sedangkan nilai koefisien korelasi r pearson berkorelasi sedang, dan ditunjukkan dengan tanda negatif (-) yang berarti hubungan yang terjadi bersifat berlawanan arah. Sehingga semakin rendah aktifitas fisik maka semakin tinggi nilai IMT atau sebaliknya.Kata Kunci: aktivitas fisik, obesitas. AbstractObesity can be suffered by all age groups, as well as gender. Technological advances provide positive and negative effects. The positive impact of many activities becomes more practical and fast, while the negative impact of humans becomes increasingly lazy to move. Reduced physical activity results in the storage of energy stored in fat tissue, which causes obesity. The purpose of this study was to determine and analyze the relationship between physical activity and obesity at the Tegalrejo Health Center in Salatiga City, Central Java. This type of research is quantitative descriptive research. Respondents were active patients at the Tegalrejo Health Center Posyandu. The number of respondents was 59 people. The data obtained in this study are primary data and secondary data. Based on the correlation test of Body Mass Index (BMI) to the value of physical activity with Pearson test analysis obtained p-value of 0.000 <0.05 and Pearson correlation coefficient value of -0.505 which indicates that there is a significant relationship between Body Mass Index (BMI) and Physical activity in active patients at the Tegalrejo Health Center Posyandu, Salatiga City. While the value of the Pearson correlation coefficient is moderately correlated, and is indicated by a negative sign (-) which means that the relationship is in the opposite direction. So the lower the physical activity, the higher the BMI value or vice versa.Keywords: obesity, physical activity.

scholarly journals RESEARCH ON THE BODY-MASS INDEX OF THE BODY AND THE BODY CIRCUMFERENCE IN THE CURRENT SECTION OF THE EQUAL ROTATION MOMENTS OF THE UPPER AND LOWER PART OF THE BODY

2020 ◽  
Vol 18 (Suppl.1) ◽  
pp. 80-85
Author(s):  
A. Atanasov ◽  
N. Pirovski ◽  
D. Valev
Keyword(s):  
Body Mass Index ◽  
Correlation Coefficient ◽  
Body Mass ◽  
Cross Section ◽  
Significant Relationship ◽  
Body Height ◽  
The Body ◽  
Lower Body ◽  
Body Circumferences ◽  
The Relationship

The bed-scales determine the section in which the torques of the upper and lower body is balanced. In this section, body circumference is measured and a relationship is sought between body circumference and body mass parameters (M, kg), body height (H, m), and body mass index (BMI, kg/m2). Aim of the study: Investigate the relationship between the circumference of the body in the cross section of the equal torques of the upper and the lower body and the body mass index of the body. Results: 64 people between the ages of 18 and 28 were examined. The high correlation coefficient between the body circumference and body mass and BMI, as well as low correlation coefficient between body circumference and body height were obtained. Conclusions: There is no statistically significant relationship between body circumference and height. At different body heights, equal body circumferences can be observed.

scholarly journals Body mass index in relation to prostate specific antigen-related parameters

2020 ◽  
Author(s):  
Dandan Lin ◽  
Ting Liu ◽  
Luling Chen ◽  
Zongtao Chen
Keyword(s):  
Body Mass Index ◽  
Prostate Specific Antigen ◽  
Correlation Coefficient ◽  
Body Mass ◽  
Specific Antigen ◽  
Rank Test ◽  
P Value ◽  
Medical University ◽  
Medical Examinations ◽  
The Relationship

Abstract Purpose Limit previous studies were conducted to assess the association between body mass index (BMI) and series of prostate-specific antigen (PSA)-related parameters, which taken prostate volume (PV) and blood volume (BV) into consideration. The objective of this study was to assess the relationship between BMI and parameters of PSA concentrations in Chinese men. Methods A total of 86,930 men who had undergone annual medical examinations at the First Affiliated Hospital of Army Medical University between 1 January 2011 and 31 December 2018 were included. Partial Spearman correlation rank test was used to assess the relationship between BMI, PV, BV and PSA, and then estimated the correlation between BMI and series of PSA-related parameters. Results After adjustment for age, PV (correlation coefficient = 0.227, P-value < 0.001) was positively associated with PSA levels, but BMI (correlation coefficient = -0.057, P-value < 0.001) and BV (correlation coefficient = -0.041, P-value < 0.001) inversely correlated to PSA concentrations. Moreover, present study also indicated that BMI positively associated with PV and BV. Furthermore, present study identified that PSA mass (correlation coefficient = 0.001, P-value = 0.763) was not affected by obesity after adjustment for age in Chinese general men.Conclusion The results of this large-sample, hospital-based study in China indicated that a higher BMI might have a bigger PV and larger BV. BMI was negatively associated with PSA and PAS density, and no significantly association was detect between BMI and PSA mass.

Relationship between Leptin Concentration in Cord Blood and Foetal Growth and Maternal Anthropometry of GDM Mothers at Delivery

1970 ◽  
Vol 25 (1) ◽  
pp. 9-13
Author(s):  
S Jahan ◽  
TR Das ◽  
KB Biswas
Keyword(s):  
Body Mass Index ◽  
Birth Weight ◽  
Cord Blood ◽  
Body Mass ◽  
Anthropometric Measurements ◽  
Anthropometric Parameters ◽  
Serum Leptin ◽  
C Peptide ◽  
Cord Serum ◽  
The Relationship

Background and Aims: Cord blood leptin may reflect the leptinemic status of a newborn at birth more accurately than the leptin values of blood collected from other sites. The present study was undertaken to determine the relationship of cord serum leptin concentration at birth with neonatal and maternal anthropometric parameters. Materials and Methods: Blood was taken from the umbilical cord of the babies at delivery. Maternal anthropometric measurements were recorded at admission for delivery. Neonatal anthropometric measurements were recorded within 48 hours after delivery. Linear regression analysis was used to explore the relationship between cord serum leptin concentration and anthropometric parameters of the baby and the mother. Both Serum leptin and serum C-peptide levels were measured by chemiluminescence-based ELISA method. Results: The leptin concentration (ng/ml, mean±SD) in cord blood was 39.13±14.44. Cord leptin levels correlated with birth weight (r=0.673, p<0.0001), ponderal index (r=0.732, p<0.0001) but it did not correlate with maternal body mass index, gestational age (r=0.135, p=0.349) at delivery or cord serum C-peptide concentration (r=-0.049, p=0.735) or placental weight (r=0.203, p=0.157). Conclusion: There are associations between cord leptin concentration at delivery and birth weight, ponderal index (PI) of the babies but not body mass index (BMI) of the mothers. High leptin levels of the baby could represent an important feedback modulator of substrate supply and subsequently for adipose tissue status during late gestation. (J Bangladesh Coll Phys Surg 2007; 25 : 9-13)

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