Association of body mass index and upper arm body composition with depressive symptoms in old age home and family based elderly

HOMO ◽  
2019 ◽  
Vol 70 (2) ◽  
pp. 155-162
Author(s):  
K. Singh ◽  
S.P. Singh ◽  
Ginjinder Kaur ◽  
Kaushik Bose
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Depressive Symptoms ◽  
Old Age ◽  
Body Mass ◽  
Upper Arm ◽  
Family Based

Functional Movement Patterns and Body Composition of High-Level Volleyball, Soccer, and Rugby Players

2019 ◽  
Vol 28 (7) ◽  
pp. 740-745 ◽  
Author(s):  
Francesco Campa ◽  
Alessandro Piras ◽  
Milena Raffi ◽  
Stefania Toselli
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Body Mass ◽  
Fat Mass ◽  
Movement Patterns ◽  
Thigh Muscle ◽  
Upper Arm ◽  
Functional Movement ◽  
High Level ◽  
Rugby Players

Context: Sports practice leads athletes to develop a specific body composition, coordination patterns, and basic motor skills based on the different tactical and physical needs. Objectives: To present and compare a wide range of functional movement patterns and body composition (BC) parameters of high-level male athletes playing different sports and to determine if there was a relationship between the parameters examined. Design: Cross-sectional study. Setting: Team facilities. Participants: A total of 30 volleyball, 25 soccer, and 30 rugby players (age = 25.9 [5.0] y and body mass index = 25.6 [4.1] kg/m2). Interventions: Functional movement patterns and anthropometric measurements were collected by a physician specifically trained. Main Outcome Measures: Body mass index, fat mass, fat-free mass, upper-arm muscle and fat area, calf muscle and fat area, thigh muscle and fat area, and functional movement screen (FMS) scores. In addition to considering the FMS total score, the authors separated the screen into 3 parts: FMSmove, FMSflex, and FMSstab. Results: The rugby players showed a higher number of asymmetrical and dysfunctional movements than the other athletes (P < .01), while the highest scores in FMSflex were obtained by the volleyball players (P < .01). In addition, most of the asymmetrical and painful movements in the athletes were measured on the shoulder mobility test. Muscle and fat areas differed significantly among the athletes (P < .05). Significant associations were found between movement patterns and several BC variables. In particular, large negative correlations were measured between percentage of fat mass (r = −.616; P < .01), upper-arm fat area (r = −.519; P < .01), and FMS total score. Conclusions: Functional movement patterns and BC differ in athletes according to the sport practiced. Furthermore, reaching an optimal BC is essential to achieve a satisfactory quality of movement.

scholarly journals Sexual dimorphism in body composition of children in the North Backa region

2019 ◽  
Vol 72 (7-8) ◽  
pp. 216-222
Author(s):  
Valerija Puskas ◽  
Tatjana Pavlica ◽  
Rada Rakic
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Body Mass ◽  
Primary Schools ◽  
Skinfold Thickness ◽  
The Body ◽  
Upper Arm ◽  
Muscle Area ◽  
Study Results ◽  
Triceps Skinfold Thickness

Introduction. Anthropometric measurements are widely used in the assessment of growth, nutritional status and body composition in children. The objective of the study was to describe growth and body composition of children using simple anthropometric measures. Material and Methods. The investigation was performed in 13 primary schools in the territory of North Backa during 2017 and at the beginning of 2018. A total of 593 schoolchildren aged 6.50 - 10.49 years (in decimals) were included in the study. The following parameters were measured: height, weight, upper arm circumference and triceps skinfold thickness. These measurements were used to calculate the body mass index, total upper arm area, upper-arm muscle area, upper-arm fat area, and the arm fat mass percentage for each individual. Results. The study results show that children?s growth is almost linear over the first decade of life and the lean body mass increases at similar rates in boys and girls. However, girls show higher percentage of body fat and higher triceps skinfold thickness, while the body mass index is not significantly different. The secular trends in height are slowing down or have already ceased, but the weight generally continues increasing. Conclusion. Although sexual differences in anthropological measures are insignificant, the differences in body composition are evident before puberty.

Body phenotypes and sexual maturation in Brazilian and US adolescents: evidence for a change in body mass index Category

2020 ◽  
pp. 1-26
Author(s):  
Jéssica Cumpian Silva ◽  
Ana Elisa Madalena Rinaldi ◽  
Francisco de Assis Guedes Vasconcelos ◽  
Maria Alice Altenburg Assis ◽  
Camila Medeiros Mazzeti ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Body Mass ◽  
Phase Angle ◽  
Sexual Maturation ◽  
Biochemical Parameters ◽  
Pubertal Development ◽  
The United States ◽  
Pubic Hair ◽  
Cholesterol Ratio

ABSTRACT Objective: Our study aimed to describe body phenotypes (BP) estimated by multivariate analysis and their association with body mass. Design: Body phenotypes were defined based on demographic variables, anthropometric data (body mass, height, skinfolds and circumferences), body composition (phase angle measured by bioelectrical impedance analysis), biochemical parameters (triglycerides, glucose, total cholesterol ratio/Low Density Lipoproteins (LDL), haemoglobin and sexual maturation (pubic hair and breasts or gonads). Analysis of variance (ANOVA) was performed to verify the differences between skin colour and the stages of pubertal development, body phenotypes, body composition, anthropometric, and biochemical variables. Setting: Cities of São Paulo-SP, Piracicaba-SP and Florianópolis-SC from Brazil and the United States. Participants: 9269 adolescents aged between 10 to 15 years old. Results: The composition of BP was similar in all surveys, which are: BP1 was composed by skinfolds, body mass and circumferences variables; BP2 by pubic hair, breast in girls or gonad in boys, height and age; BP3 by cholesterol, triglycerides and glucose; and BP4 by phase angle, haemoglobin and glucose (negative loading). There was a strong correlation (r = 0.9, p <0.001) between BP1 and body mass index. Conclusion: We highlighted independence observed between biochemical parameters, anthropometry, body composition and sexual maturation. BP may support the calculation of scores for diagnosis of obesity based on anthropometric variables and overcome ambiguity in the isolated use of body mass index.

scholarly journals Maternal Depressive Symptoms and Their Association with Breastfeeding and Child Weight Outcomes

Children ◽  
2021 ◽  
Vol 8 (3) ◽  
pp. 233
Author(s):  
María Pineros-Leano ◽  
Jaclyn A. Saltzman ◽  
Janet M. Liechty ◽  
Salma Musaad ◽  
Liliana Aguayo
Keyword(s):  
Body Mass Index ◽  
Depressive Symptoms ◽  
Body Mass ◽  
Analysis Of Covariance ◽  
Physical Growth ◽  
Maternal Depressive Symptoms ◽  
Developmental Problems ◽  
Child Weight ◽  
Child Body Mass Index ◽  
Weight Outcomes

Children of mothers with depressive symptoms are at a higher risk for psychosocial, behavioral, and developmental problems. However, the effects of maternal depression on children’s physical growth are not well understood. To address the gaps in the literature, this study examined the association between maternal depressive symptoms, breastfeeding behaviors, and child weight outcomes. Data from 204 mother–child dyads who participated in the STRONG Kids 1 Study were used. Mothers and children were assessed twice when the children were 3 and 4 years old. Height and weight measurements of children and mothers were collected by trained researchers during both assessments. Multiple linear regression and analysis of covariance tests were used to examine the associations between maternal depressive symptoms, breastfeeding, and age and sex-adjusted child body mass index percentile. Recurrent maternal depressive symptoms when the child was 3 and 4 years old were not associated with child body mass index percentiles (BMI-P) at age 4. Mothers who breastfed for at least 6 months had significantly lower depressive symptoms when their children were 3 years of age, but the differences did not persist at age 4. In this community sample, maternal depressive symptoms were not associated with child BMI-P, regardless of breastfeeding duration.

Pre-pregnancy body mass index is associated with offspring body composition in adulthood before adiposity-related disorders: a retrospective cohort

2020 ◽  
pp. 1-17
Author(s):  
Ilana Eshriqui ◽  
Angélica Marques Martins Valente ◽  
Luciana Dias Folchetti ◽  
Bianca de Almeida-Pititto ◽  
Sandra Roberta G. Ferreira
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Body Mass ◽  
Body Fat ◽  
Retrospective Cohort ◽  
Statistical Significance ◽  
Directed Acyclic Graphs ◽  
Health Study ◽  
Appendicular Skeletal Muscle ◽  
Three Body

Abstract Objective: To investigate the association between maternal pre-pregnancy body mass index (BMI) and offspring body composition in adulthood. Design: Retrospective cohort. Undergraduates of nutrition or nutritionists were recruited at the baseline of the Nutritionists’ Health Study between 2014 and 2017. Maternal pre-pregnancy BMI and current life aspects were self-reported through online questionnaires. Three body compartments were DXA-determined. The following variables were obtained: body-fat (%), fat mass index (FMI) (kg/m2), android-to-gynoid fat ratio, visceral adipose tissue (VAT) (cm3), appendicular skeletal muscle mass index (ASMI) (kg/m2), total bone and femur mineral content (g) and density (g/cm2). Linear regression adjusted according to directed acyclic graphs recommendation was performed. Setting: São Paulo, Brazil. Participants: Healthy non-pregnant women (aged 20-45 years) (n=150). Results: Median age and BMI were 22 years (IQR=20; 29) and 22.3 kg/m2 (IQR=20.4; 25.3). Pre-pregnancy BMI≥25 kg/m2 was reported by 14.7% of mothers. In fully adjusted models, maternal pre-pregnancy BMI was associated with their daughters’ body-fat % (β=0.31; 95%CI=0.0004; 0.63), FMI (β=0.17; 95%CI=0.03; 0.30, android-to-gynoid ratio (β=0.01; 95%CI=0.004; 0.02) and VAT (β=0.09; 95%CI=0.02; 0.16), but not with total bone density (β=0.001; 95%CI=-0.003; 0.006) and content (β=7.13; 95%CI=-4.19; 18.46). Direct association with ASMI was also detected, but lost statistical significance when participants whose mothers were underweight were excluded. Conclusions: Maternal pre-pregnancy body mass index was directly associated with offspring general and visceral adiposity but seem not to be associated with bone mass. Results reinforce importance of avoiding excess of maternal adiposity, as an attempt to break the vicious cycle of obesity transmission.

scholarly journals The Effects of Body Mass Index on Softball Pitchers’ Hip and Shoulder Range of Motion

2020 ◽  
Vol 05 (01) ◽  
pp. E8-E13
Author(s):  
Kenzie B. Friesen ◽  
Adam W. Anz ◽  
Jeffrey R. Dugas ◽  
James R. Andrews ◽  
Gretchen D. Oliver
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Range Of Motion ◽  
Body Mass ◽  
Mean Difference ◽  
Additional Stress ◽  
Maximal Velocity ◽  
Strength And Conditioning ◽  
Shoulder Range Of Motion ◽  
Shoulder Range

AbstractCurrently it is hypothesized that increased body mass index may contribute to overuse injuries. Thus, if hip or shoulder range of motion is affected by body mass index, pitchers may be placing additional stress on joints as they seek to pitch at maximal velocity. The purpose of this study was to examine if range of motion at the hips and shoulders were related to body mass index classification. A sample of 147 female softball pitchers (17.0±4.2 years; 167.6±11.8 cm; 70.6±17.5 kg; body mass index=24.8±4.7 kg/m2) participated. Bilateral hip and shoulder range of motion were assessed. Multivariate analysis of variance results indicated body mass index [Wilks’ Λ=0.742, F=1.722, p=0.014, η2=0.095] significantly affected range of motion of the shoulder and hip. Post hoc results indicated the underweight group had significantly more range of motion than the obese group in hip internal range of motion on both the throwing side (mean difference=12.39, p=0.005) and glove side (mean difference=11.98, p=0.004). Although body composition is not overly emphasized among softball pitchers, the current study reveals excess weight may inhibit proper mechanics. Coaches, athletic trainers, strength and conditioning personnel, and athletes should acknowledge the role that body composition can play in affecting pitch outcomes.

scholarly journals Body Composition, Psychological, Cardiovascular, and Physical Activity Factors Related with Academic School Performance

2021 ◽  
Vol 13 (16) ◽  
pp. 8775
Author(s):  
Laura Redondo-Flórez ◽  
Domingo Jesus Ramos-Campo ◽  
Vicente Javier Clemente-Suárez
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Heart Rate ◽  
Body Composition ◽  
Academic Performance ◽  
Body Mass ◽  
Trait Anxiety ◽  
Motor Development ◽  
Overweight And Obesity ◽  
School Students

The aim of the present study was to analyse body composition, anxiety, cardiovascular, and physical activity factors related with academic performance of school students as well as to analyse differences, by age, in these factors. We analysed in 266 primary school students’ (8.81 ± 1.62 years, range: 5–13 years) heart rate, anthropometric variables to calculate body mass index, physical activity performance, anxiety levels and academic results by the average of marks. Students were divided in two different groups, firstly by their lower or higher academic performance, and secondly by age. Results showed a negative correlation between academic performance and age, weight, body mass index and trait anxiety variables. Additionally, significant differences were found by age, presenting older students higher scores in body mass index and lower physical activity, trait anxiety, heart rate and academic performance values than younger students. Overweight and obesity may have a great impact in academic performance in children and we pointed out the necessity to establish programs related with healthy habits which include improvements in physical activity and nutrition behaviours with the objective to enhance children’s health general status, psychological profile, cognitive and motor development, and academic performance.

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