scholarly journals The relationship between body mass index, body composition and premenstrual syndrome prevalence in girls

2019 ◽  
Vol 90 (5) ◽  
pp. 256-261 ◽  
Author(s):  
Malgorzata Mizgier ◽  
Grazyna Jarzabek-Bielecka ◽  
Ewa Jakubek ◽  
Witold Kedzia
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Body Mass ◽  
Premenstrual Syndrome ◽  
The Relationship

scholarly journals A Bayesian Sensitivity Analysis to Partition Body Mass Index Into Components of Body Composition: An Application to Head and Neck Cancer Survival

2019 ◽  
Vol 188 (11) ◽  
pp. 2031-2039
Author(s):  
Patrick T Bradshaw ◽  
Jose P Zevallos ◽  
Kathy Wisniewski ◽  
Andrew F Olshan
Keyword(s):  
Body Mass Index ◽  
Sensitivity Analysis ◽  
Body Composition ◽  
Head And Neck Cancer ◽  
Head And Neck ◽  
Body Mass ◽  
Neck Cancer ◽  
Hazard Ratio ◽  
Unit Increase ◽  
The Relationship

Abstract Previous studies have suggested a “J-shaped” relationship between body mass index (BMI, calculated as weight (kg)/height (m)2) and survival among head and neck cancer (HNC) patients. However, BMI is a vague measure of body composition. To provide greater resolution, we used Bayesian sensitivity analysis, informed by external data, to model the relationship between predicted fat mass index (FMI, adipose tissue (kg)/height (m)2), lean mass index (LMI, lean tissue (kg)/height (m)2), and survival. We estimated posterior median hazard ratios and 95% credible intervals for the BMI-mortality relationship in a Bayesian framework using data from 1,180 adults in North Carolina with HNC diagnosed between 2002 and 2006. Risk factors were assessed by interview shortly after diagnosis and vital status through 2013 via the National Death Index. The relationship between BMI and all-cause mortality was convex, with a nadir at 28.6, with greater risk observed throughout the normal weight range. The sensitivity analysis indicated that this was consistent with opposing increases in risk with FMI (per unit increase, hazard ratio = 1.04 (1.00, 1.08)) and decreases with LMI (per unit increase, hazard ratio = 0.90 (0.85, 0.95)). Patterns were similar for HNC-specific mortality but associations were stronger. Measures of body composition, rather than BMI, should be considered in relation to mortality risk.

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.

scholarly journals Body Mass Index and Melanoma Prognosis

2021 ◽  
pp. e2021106
Author(s):  
Nicoletta Cassano ◽  
Stefano Caccavale ◽  
Gino A. Vena ◽  
Giuseppe Argenziano
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Risk Factor ◽  
Prognostic Factors ◽  
Body Mass ◽  
Literature Search ◽  
Tumor Therapy ◽  
Melanoma Prognosis ◽  
Melanoma Patients ◽  
The Relationship

Introduction: Obesity has been suggested as a risk factor in the progression of malignancies, including melanoma. Most studies defined obesity using body mass index (BMI), although the index is considered an imperfect measure of body composition. Objective: The aim of this article is to examine whether BMI can impact the prognosis of cutaneous melanoma, regardless of anti-tumor therapy. The relationship between BMI and specific prognostic factors in melanoma patients has been reviewed. Methods: Literature search was conducted on PubMed using the terms “melanoma” and “body mass index” or “obesity”. We selected articles, published up to 30 November 2020, examining the prognostic aspects of melanoma. Articles evaluating the risk and incidence of melanoma were excluded as well as studies regarding morbidity and complications following surgical procedures, or those performed in metastatic melanoma patients treated with anti-tumor therapies. Results: Mixed results have emerged from studies assessing the clinical outcomes in melanoma patients in relation to BMI. More consistent data seem to support the relationship between BMI and Breslow thickness. Conclusions: Studies that focus specifically on the link between obesity and melanoma prognosis are limited; further research is needed to deepen our knowledge on this link.

Relationship Between Active School Transport and Body Mass Index in Grades-4-to-6 Children

2011 ◽  
Vol 23 (3) ◽  
pp. 322-330 ◽  
Author(s):  
Richard Larouche ◽  
Meghann Lloyd ◽  
Emily Knight ◽  
Mark S. Tremblay
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Waist Circumference ◽  
Body Mass ◽  
Current Investigation ◽  
Daily Step ◽  
Step Counts ◽  
Steps Per Day ◽  
The Impact ◽  
The Relationship

The current investigation assessed the impact of active school transportation (AST) on average daily step counts, body mass index (BMI) and waist circumference in 315 children in Grades 4–6 who participated to Cycle 2 of the Canadian Assessment of Physical Literacy (CAPL) pilot testing. T-tests revealed a significant association between AST and lower BMI values (18.7 ± 3.3 vs. 19.9 ± 3.8 kg/m2). The active commuters accumulated an average of 662 more steps per day, and their waist circumference was lower by an average of 3.1 cm, but these differences were not statistically significant. ANCOVA analyses controlling for age and step counts, found trends toward lower BMI and waist circumference values among the active commuters. These results suggest that AST may be a valid strategy to prevent childhood obesity; further research is needed to determine more precisely the impact of AST on body composition, and the direction of the relationship.

scholarly journals The Relationship between Physical Activity, Body Mass Index and Body Composition among Students at a Pre-University Centre in Malaysia

2020 ◽  
Vol 19 (2) ◽  
Author(s):  
You HW ◽  
Tan PL ◽  
Mat Ludin AF
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Composition ◽  
University Students ◽  
Muscle Mass ◽  
Body Mass ◽  
Fat Mass ◽  
The Body ◽  
Study Results ◽  
The Relationship

INTRODUCTION: Physical activity is an essential element in our daily life that leads to long-term health benefits. Physical activity refers to movement of the body that requires energy. Body mass index (BMI) indicates a ratio of body weight to squared height, which is a useful health indicator. On the contrary, body composition describes the body by measuring percentages of fat and muscle in human bodies. MATERIALS AND METHODS: This cross-sectional study aimed to determine the relationship between physical activities, BMI and body composition among pre-university students from one of the universities in Selangor, Malaysia. Stratified random sampling was employed to recruit 70 pre-university students into this study. RESULTS: From the study, 50% of the respondents are categorized as minimally active. In addition, there is significant difference between the physical activity levels of male and female respondents. The relationship between physical activity and BMI indicates a very weak negative correlation. Similarly, the correlation between physical activity and fat mass is a weak negative relationship. Meanwhile, there is a weak positive correlation between physical activity and muscle mass. CONCLUSION: Therefore, it can be concluded that when physical activity increases, BMI and body fat mass will decrease, while muscle mass will increase. Moreover, it was shown that there was a significant relationship between physical activity and body composition. 

scholarly journals Body Mass Index, Lean Mass, and Body Fat Percentage as Mediators of the Relationship between Milk Consumption and Bone Health in Young Adults

Nutrients ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 2500 ◽  
Author(s):  
Ana Torres-Costoso ◽  
Purificación López-Muñoz ◽  
Asunción Ferri-Morales ◽  
Elisabeth Bravo-Morales ◽  
Vicente Martínez-Vizcaíno ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Young Adults ◽  
Body Composition ◽  
Body Mass ◽  
Fat Mass ◽  
Bone Health ◽  
Milk Consumption ◽  
Mineral Density ◽  
Total Body ◽  
The Relationship

Identifying environmental factors that influence bone health is crucial for developing effective intervention strategies that maximize peak bone mass. The aim of this study was to estimate the relationship between milk consumption and bone mineral density (BMD) in young adults, and to examine whether this relationship is mediated by body mass index (BMI) and total lean and fat mass. A cross-sectional study involving college students (n = 239) from a Spanish public university was performed. Data on milk consumption and anthropometric and body composition variables were collected. The Pearson correlation coefficients among total body BMD, body composition variables, and milk consumption ranged from −0.111 to −1.171, most of them statistically significant (p < 0.05). The ANCOVA (analysis of covariance) models showed that those with higher regular milk consumption had less total body BMD than those with lower regular milk consumption (p < 0.05), even after controlling for different sets of confounders. In the mediation analysis, BMI and lean and fat mass turned out to act as full mediators of the relationship between regular milk consumption and total body BMD (z = −1.7148, −1.3208, and −1.8549, respectively; p ≤ 0.05). In conclusion, milk consumption, per se, does not seem to have a direct effect on bone development, because its association seems to be fully mediated by body composition variables in young adults.

scholarly journals US Army basic combat training alters the relationship between body mass index and per cent body fat

2021 ◽  
pp. bmjmilitary-2021-001936
Author(s):  
Stephen A Foulis ◽  
J M Hughes ◽  
B A Spiering ◽  
L A Walker ◽  
K I Guerriere ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Body Mass ◽  
Sensitivity And Specificity ◽  
Body Fat ◽  
Military Force ◽  
Us Army ◽  
Combat Training ◽  
Basic Combat Training ◽  
The Relationship

Introduction/backgroundAs a proxy for adiposity, body mass index (BMI) provides a practical public health metric to counter obesity-related disease trends. On an individual basis, BMI cannot distinguish fat and lean components of body composition. Further, the relationship between BMI and body composition may be altered in response to physical training. We investigated this dynamic relationship by examining the effect of US Army basic combat training (BCT) on the association between BMI and per cent body fat (%BF).MethodsBMI and %BF were measured at the beginning (week 1) and end (week 9) of BCT in female (n=504) and male (n=965) trainees. Height and weight were obtained for BMI, and body composition was obtained by dual X-ray absorptiometry. Sensitivity and specificity of BMI-based classification were determined at two BMI thresholds (25 kg/m2 and 27.5 kg/m2).ResultsA progressive age-related increase in fat-free mass index (FFMI) was observed, with an inflection point at age 21 years. In soldiers aged 21+, BMI of 25.0 kg/m2 predicted 33% and 29% BF in women and 23% and 20% BF in men and BMI of 27.5 kg/m2 predicted 35% and 31% BF in women and 26% and 22% BF in men, at the start and end of BCT, respectively. Sensitivity and specificity of BMI-based classification of %BF were poor. Soldiers below BMI of 20 kg/m2 had normal instead of markedly reduced %BF, reflecting especially low FFMI.ConclusionsBCT alters the BMI–%BF relationship, with lower %BF at a given BMI by the end of BCT compared with the beginning, highlighting the unreliability of BMI to try to estimate body composition. The specific BMI threshold of 25.0 kg/m2, defined as ‘overweight’, is an out-of-date metric for health and performance outcomes. To the extent that %BF reflects physical readiness, these data provide evidence of a fit and capable military force at BMI greater than 25.0 kg/m2.

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