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 Relação entre duas equações do índice de massa corporal em mulheres / Relationship between two equations of the body mass index in women

2018 ◽  
Vol 7 (1) ◽  
pp. 72
Author(s):  
William Cordeiro de Souza ◽  
André De Camargo Smolarek ◽  
Denise Barth Rebesco ◽  
Marcos Tadeu Grzelczak ◽  
Valderi Abreu de Lima ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Data Analysis ◽  
Body Mass ◽  
Pearson Correlation ◽  
The Body ◽  
Descriptive Statistics ◽  
Pearson Correlation Coefficient ◽  
Anthropometric Measures ◽  
Significance Level ◽  
The Relationship

Objetivo: Relacionar duas equações do método antropométrico do Índice de Massa Corporal (IMC) proposto por Quételet e Trefethen em mulheres. Métodos: A amostra foi constituída por 222 mulheres do município de Canoinhas/SC, com idades entre 18 e 49 anos. Para as medidas antropométricas foi avaliada a massa corporal e a estatura. Por meio dos dados obtidos foi calculado o IMC utilizando às fórmulas: Quételet= (kg/m2) e Trefethen= (1,3*kg/m2,5). Na análise dos dados realizou-se a estatística descritiva, o fator de correlação de Pearson (r) foi realizado para verificar a relação entre os métodos e o teste de Bland-Altman foi utilizado para verificar a concordância entre as equações. Foi adotado um nível de significância de p<0,05. Resultados: Foi encontrada uma relação muito forte e significante (r= 0,98; p= <0,001) com intervalo de confiança (IC 95% = 0,93-0,99) e concordância entre as equações do IMC. Conclusão: A equação do IMC de Trefethen apresentou associação muito forte e significante com a equação IMC de Quételet em mulheres.AbstractObjective: To relate two equations of the anthropometric method of the Body Mass Index (BMI) proposed by Quételet and Trefethen in women. Methods: The sample consisted of 222 women from the municipality of Canoinhas/SC, aged between 18 and 49 years. For the anthropometric measures body mass and height were evaluated. By means of the data obtained, the BMI was calculated using the formulas: Quételet= (kg/m2) and Trefethen= (1,3*kg/m2,5). In the data analysis, descriptive statistics were performed, the Pearson correlation coefficient (r) was performed to verify the relationship between the methods and the Bland-Altman test was used to verify the concordance between the equations. A significance level of p <0.05 was adopted. Results: A very strong and significant relationship was found (r= 0.98, p= <0.001) with a confidence interval (95% CI= 0.93-0.99) and concordance between the BMI equations. Conclusion: The BMI equation of Trefethen showed a very strong and significant association with the BMI equation of Quételet in women.

scholarly journals The investigation of relationship between body mass index and physical activity level along with motor skill in children

2019 ◽  
Vol 16 (3) ◽  
pp. 823-830
Author(s):  
Serkan İbiş ◽  
Zehra Gözel Tepe ◽  
Zait Burak Aktuğ
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Mass ◽  
Motor Skills ◽  
Motor Skill ◽  
Physical Activity Level ◽  
Pearson Correlation ◽  
Physical Activities ◽  
Activity Level ◽  
The Relationship

The aim of this study was to investigate the relationship between motor skills and body mass index (BMI) along with physical activity level (PAL) of children aged 8-10 years. A total of 376 children (female = 168, male = 208) aged 8-10 years participated in the study. In the study, BMIs of children were determined by [body weight (kg) / height (m2)] formula, PALs were determined by Physical Activity Questionnare for Older Children (PAQ-C) and motor skills by Allgemeiner Sportmotorischer Test (AST). Pearson Correlation Analysis was used to determine the relationship between motor skill and BMI along with PAL. As a result of the study, a significant positive correlation was found between PAL and AST20 m-running, AST6 min running and ASTtotal score, while a negative correlation was found between BMI and AST20 m running, ASThurdle run, AST medicine ball toss, AST6 min running and ASTtotal score. In addition, it was found that the majority of children in the AST classification were in the moderate (46.3%) and poor (45.5%) motor skills category and no children were in the very good motor skills category. As a result, it can be stated that motor development can be achieved by directing children to physical activities and high BMI constitutes a limitation of motor skills of children. Considering this situation, it may be recommended to direct children to physical activities in order to increase the motor skill that has a positive effect on success and ability to work positively or negatively at every stage of life. ​​Extended English summary is in the end of Full Text PDF (TURKISH) file. Özet Çalışmanın amacı, 8-10 yaşları arasındaki çocukların motor becerileri ile vücut kitle indeksi (VKİ) ve fiziksel aktivite düzeyi (FAD) arasındaki ilişkinin incelenmesidir. Çalışmaya 8-10 yaş arası toplam 376 (kız= 168, erkek=208) çocuk katılmıştır. Çalışmada çocukların VKİ’leri [vücut ağırlığı (kg)/boy (m2)] formülü ile, FAD’leri İlköğretim Öğrencileri İçin Fiziksel Aktivite Anketi (PAQ-C) ile motor becerileri ise Allgemeiner Sportmotorischer Test (AST) ile belirlenmiştir. Motor beceri ile VKİ ve FAD arasındaki ilişkiyi belirlemede Pearson Korelasyon Analizi kullanılmıştır. Çalışma sonucunda, FAD ile AST20 m koşu, AST6 dk koşu ve ASTtoplam skoru arasında pozitif yönlü anlamlı bir ilişki belirlenirken, VKİ ile AST20 m koşu, ASTengel koşusu, ASTsağlık topu atma, AST6 dk koşu ve ASTtoplam skoru arasında negatif yönlü anlamlı bir ilişki tespit edilmiştir. Ayrıca AST sınıflandırılmasında çocukların çoğunluğunun orta (%46,3) ve kötü (%45,5) motor beceri kategorisinde olduğu ve çok iyi motor beceri kategorisinde hiçbir çocuğun bulunmadığı belirlenmiştir. Sonuç olarak çocukların fiziksel aktivitelere yönlendirilerek motor becerilerinde gelişim sağlana bilineceği ve yüksek VKİ’nin çocukların motor becerilerinde sınırlama oluşturduğu söylenebilir. Bu durum göz önüne alınarak hayatın her aşamasında başarıyı ve iş yapabilme kapasitesini olumlu ya da olumsuz olarak etkileyen motor becerinin artırılması için çocukları fiziksel aktivitelere yönlendirmek önerilebilir

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 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.

scholarly journals The unbiased estimation of r2 between two sets of noisy neural responses

2021 ◽  
Author(s):  
Dean Pospisil ◽  
Wyeth A Bair
Keyword(s):  
Correlation Coefficient ◽  
Pearson Correlation ◽  
Unbiased Estimation ◽  
Pearson Correlation Coefficient ◽  
Neural Responses ◽  
Neural Data ◽  
Tuning Curves ◽  
The Relationship

The Pearson correlation coefficient squared, r2, is often used in the analysis of neural data to estimate the relationship between neural tuning curves. Yet this metric is biased by trial-to-trial variability: as trial-to-trial variability increases, measured correlation decreases. Major lines of research are confounded by this bias, including the study of invariance of neural tuning across conditions and the similarity of tuning across neurons. To address this, we extend the estimator, r̂2ER, developed for estimating model-to-neuron correlation to the neuron-to-neuron case. We compare the estimator to a prior method developed by Spearman, commonly used in other fields but widely overlooked in neuroscience, and find that our method has less bias. We then apply our estimator to the study of two forms of invariance and demonstrate how it avoids drastic confounds introduced by trial-to-trial variability.

scholarly journals Influences of Participation Motivation and Satisfaction of Nursing Students on Continuance Willingness of Voluntary Activities

2018 ◽  
Vol 24 (4) ◽  
pp. 415-423
Author(s):  
Ya Ki Yang
Keyword(s):  
Nursing Students ◽  
Correlation Coefficient ◽  
Pearson Correlation ◽  
Educational Programs ◽  
Descriptive Statistics ◽  
Pearson Correlation Coefficient ◽  
Factors Influencing ◽  
Participation Motivation ◽  
Positive Correlations ◽  
The Relationship

Purpose: This study was done to examine the relationship between participation motivation, satisfaction and continuance willingness of voluntary activities of nursing students, and to identify factors influencing continuance willingness of voluntary activities. Methods: The research participants were 175 nursing students in the nursing departments of 3 universities located in G city and J province in Korea. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation coefficient and multiple regression. Results: Participants' scores for participation motivation, satisfaction and continuance willingness of voluntary activities were $3.24{pm}0.76$, $3.11{pm}0.83$ and $3.03{pm}0.85$ respectively. Participation motivation and satisfaction of voluntary activities had positive correlations. Satisfaction and continuance willingness of voluntary activities had positive correlations. Factors influencing nursing students' continuance willingness of voluntary activities included participation motivation and satisfaction of voluntary activities. And these variables explained 74% of the variance in continuance willingness of voluntary activities. Conclusion: The findings show that development and application of educational programs to increase participation motivation and satisfaction of voluntary activities are important and will improve nursing students' continuance willingness of voluntary activities.

scholarly journals Correlation between Core Strength and Stability with Body Mass Index among Postmenopausal Women.

2021 ◽  
Vol 11 (4) ◽  
Author(s):  
S Bhosale Komal ◽  
V Bhosale Siddhi ◽  
Anandh Dr. S
Keyword(s):  
Body Mass Index ◽  
Postmenopausal Women ◽  
Body Mass ◽  
Pearson Correlation ◽  
The Body ◽  
P Value ◽  
Endurance Test ◽  
Core Strength ◽  
The Core ◽  
Flexion Test

Women in postmenopausal period of their life face various physical and physiological changes causing lack of estrogen and progesterone hormones, changes in the reproductive and genitals organs, vasomotor system in the body along with mood related symptoms such as anxiety, etc. Lifestyle, body fat distribution and anthropometric changes adds on to the bone strength in postmenopausal women. It may be a risk factor for osteoporotic fracture, cardiovascular, metabolic diseases, etc. Core strength and stability is greatly influenced by body composition and adiposity. The aim of the study was to correlate the core strength assessed with the Body Mass Index (BMI) among postmenopausal women. The objective of the study is to find the correlation between the core strength assessed with the Body Mass Index using 60° flexion test, Beiring Sorenson test and Unilateral Hip Bridge Endurance test among postmenopausal women with age ranging from 46-70 years. 96 healthy postmenopausal women in Karad city with a natural history of menopause were selected for the study. Based upon BMI values, the subjects were grouped as Underweight (<18.5 kg/m2), Normal weight (18.5-24.9 kg/m2), Overweight (25-29.9 kg/m2 and more). The outcome values for strength were correlated with the BMI of postmenopausal women. In the study, the Pearson correlation(r) was -0.361 and the P value was 0.0003 showing extremely significant correlation between the BMI and 60° Flexion test. For the Beiring Sorenson Test, the Pearson correlation value was -0.305 and the P value was 0.0025 showing very significant correlation between the BMI and Beiring Sorenson Test. Correlation of BMI and Unilateral Hip Bridge Endurance Test shows a Pearson Correlation value of -0.322 and the P value 0.0013 claiming very significant correlation between the BMI and Unilateral Hip Bridge Endurance Test. The study concludes that there is a significantly negative correlation between the core strength and stability with the Body Mass Index among postmenopausal women.

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