scholarly journals The Relation Pattern Between Energy and Protein Intake Against Student's Body Mass Index

2017 ◽  
Vol 1 (2) ◽  
pp. 97-106
Author(s):  
Ilham Ilham ◽  
Sarita Oktorina ◽  
Moh. Rizqi Haqiqi As'at
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Protein Intake ◽  
Early Adulthood ◽  
The Body ◽  
Age Group ◽  
Unhealthy Lifestyle ◽  
Transition Age ◽  
Body Development ◽  
The Relationship

The content of food nutrients is the key to for the body development as well maintenance. Poor food intake along with unhealthy lifestyle is one of the factors that cause various chronic diseases. Students belong to the transition age group from late adolescence to early adulthood. Most students live in boarding houses and dormitories, so students have an irregular diet and are unhealthy. The research aimed to investigate the relationship between energy and protein intake with Body Masa Index among active students at the Faculty of Science and Technology. The result showed that there was a significant correlation between energy consumption, protein consumption and students knowledge, with student;s Body Mass Index, while 8.3% of the respondents were identified into the 1st category of obesity

scholarly journals The Significance of Differences in Melanocortin 3 Levels and their Relationship with Pulmonary Tuberculosis and Body Mass Index

2021 ◽  
Vol 9 (A) ◽  
pp. 583-588
Author(s):  
Andi Tenriola ◽  
Najdah Hidayah ◽  
Subair Subair ◽  
Muhammad Nasrum Massi ◽  
Irda Handayani ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Energy Homeostasis ◽  
The Body ◽  
Age Group ◽  
Positive Correlation ◽  
Household Contacts ◽  
Overweight Group ◽  
High Level ◽  
The Relationship

BACKGROUND: Melanocortin 3 Receptors (MC3R) levels plays a role in many biological systems, including energy homeostasis and regulation of fat metabolism. However, very few have researched the relationship between MC3R and tuberculosis (TB) and body mass index. AIM: This study explores the differences in serum MC3R levels in active TB, household contacts, and control groups, as well as at different body mass index status. This study tries to find out the relationship between MC3R and other variables. METHODS AND MATERIALS: Blood samples were taken from 53 active TB patients, 49 household contacts, and 30 healthy people as controls. The 132 samples were subjected to IGRA and ELISA examinations to determine differences in MC3R levels in all groups. RESULTS: The highest mean of MC3R levels were found in the active TB group at 1.259.55 (p = 0.028) and had a positive correlation with a value of p = 0.008. In the sex group, men had the highest levels (p = 0.551). In the 30–49 year age group, the median value increased significantly in the three groups (p = 0.028), and there was a correlation between MC3R and the 17–29 year age group, although the correlation was negative (p = 0.021), in the 30–49 year age group with a positive correlation (p = 0.050). The mean MC3R value increased significantly in the overweight group in the three groups (p = 0.006) but did not significantly correlate. CONCLUSION: The high level of MC3R in TB patients is related to its role as a defence against microbes that enter the body through the immune process to prevent further infection and inflammation. Meanwhile, high levels of MC3R in excess Body mass index were associated with the function of MC3R as an inhibitor of pro-opiomelanocortin (POMC) neurons to release α-MSH.

scholarly journals Body Mass Index and Its Change from Adolescence to Adulthood Are Closely Related to the Risk of Adult Metabolic Syndrome in China

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Bingyang Liu ◽  
Yue Li ◽  
Jiamei Guo ◽  
Yuting Fan ◽  
Ling Li ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Body Mass ◽  
Glycosylated Hemoglobin ◽  
Early Adulthood ◽  
Study Groups ◽  
Relationship Of ◽  
Baseline Bmi ◽  
The Relationship

Aims. To investigate the influence of body mass index (BMI) and its change from adolescence to adulthood (ΔBMI) on the risk of metabolic syndrome (MetS) in early adulthood. Methods. We selected 931 students from 12 to 16 years of age in Liaoyang City, China. Ninety-three participants from 18 to 22 years of age with complete baseline data were available for follow-up after 5 years. Statistical analysis determined the relationship of MetS at follow-up with baseline BMI (BMIb), ΔBMI, and follow-up BMI (BMIf). Results. ΔBMI was positively correlated with the change of waist circumference (ΔWC), systolic blood pressure (ΔSBP), triglycerides (ΔTG), uric acid, and glycosylated hemoglobin (ΔHbA1c) in follow-up ( p < 0.05 ). For every 1 kg/m2 increase in BMIb, ΔBMI, and BMIf, the risk of MetS at follow-up increased 1.201-fold, 1.406-fold, and 1.579-fold, respectively. Both BMIb and ΔBMI were predictive of MetS at follow-up, with prediction thresholds of 23.47 kg/m2 and 1.95 kg/m2. The participants were divided by the predicted BMIb and ΔBMI threshold values into four study groups. Interestingly, the group with lower BMI but a higher increase in BMI presented the same metabolic derangements and Mets% of the group with higher BMI but lower Δ BMI. Conclusion. Both BMI of adolescence and ΔBMI were predictive of MetS and cardiovascular risk factors in adulthood. Control of both variables in adolescents would be more effective in decreasing the risk of MetS in young adults than control of BMI alone.

The Tromsø heart study: The relationship between food habits and the body mass index

1987 ◽  
Vol 40 (8) ◽  
pp. 795-800 ◽  
Author(s):  
Bjarne K. Jacobsen ◽  
Dag S. Thelle
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Food Habits ◽  
The Body ◽  
Heart Study ◽  
The Relationship

scholarly journals Prevalence of Obesity and the Relationship between the Body Mass Index and Body Fat: Cross-Sectional, Population-Based Data

PLoS ONE ◽  
2012 ◽  
Vol 7 (1) ◽  
pp. e29580 ◽  
Author(s):  
Julie A. Pasco ◽  
Geoffrey C. Nicholson ◽  
Sharon L. Brennan ◽  
Mark A. Kotowicz
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Body Fat ◽  
Population Based ◽  
The Body ◽  
Cross Sectional ◽  
Prevalence Of Obesity ◽  
The Relationship

Evaluation of the relationship between the topographical anatomy in the axillary region of the brachial plexus and the body mass index

2017 ◽  
Vol 32 (4) ◽  
pp. 779-784
Author(s):  
Omur Ozturk ◽  
Aysu Hayriye Tezcan ◽  
Ali Bilge ◽  
Hakan Ateş ◽  
Hatice Yagmurdur ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Brachial Plexus ◽  
Body Mass ◽  
The Body ◽  
Topographical Anatomy ◽  
Axillary Region ◽  
The Relationship

The relationship between the body mass index (BMI) and foot posture in elderly people

2011 ◽  
Vol 52 (2) ◽  
pp. e89-e92 ◽  
Author(s):  
Thaís Rabiatti Aurichio ◽  
José Rubens Rebelatto ◽  
Alessandra Paiva de Castro
Keyword(s):  
Body Mass Index ◽  
Elderly People ◽  
Body Mass ◽  
The Body ◽  
Foot Posture ◽  
The Relationship

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 Relationship Between Body Mass Index with Body Fat Percentage of Participants EXPO 2021 Universitas Teuku Umar

2021 ◽  
Vol 2 (1) ◽  
pp. 19
Author(s):  
Suci Eka Putri ◽  
Adelina Irmayani Lubis
Keyword(s):  
Body Mass Index ◽  
Body Weight ◽  
Nutritional Status ◽  
Body Mass ◽  
Body Fat ◽  
Body Height ◽  
The Body ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
The Relationship

Body mass index (BMI) is to monitor nutritional status adults, especially those related to deficiency and overweight. Body fat percentage can describe the risk of degenerative diseases.This study was conducted to measure the relationship between BMI and body fat percentage. Methods An analytical study was conducted to 41 male and 51 female participant from Universitas Teuku Umar. The body weight was measured using scales, whereas the body height was measured using microtoise. The body fat percentage was measured using Karada Scan. The BMI was calculated by dividing the body weight in kilogram divided by body height in meter square. Data was collected from 16-18th February 2021 and analyzed by Pearson’s correlation test. The results showed BMI underweight, normal, and overweight were 10,9, 57,6, and 31,5. High body fat percentage in men were 75,6% and in women were 35,5%. There is a relationship between the nutritional status of the women group and the body fat percentage with p-value is obtained = 0.021. Furthermore, for men, there is no relationship between nutritional status in the men group and the body fat percentage. There is a relationship between nutritional status and body fat percentage in women. Among this population, BMI can still be used to determine body fat percentage

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