Assessment of the fat mass index in women recently diagnosed with gynecological tumors

Abstract Background It is not clear how physical activity affects body composition in adolescents. Physical activity levels are often reduced during this period, and the relative proportion of body fat mass and lean mass undergo natural changes in growing adolescents. We aimed to examine whether self-reported physical activity in leisure time at baseline or change in activity during follow-up affect changes in four measures of body composition; body mass index (kg/m2), waist circumference, fat mass index (fat mass in kg/m2) and lean mass index (lean mass in kg/m2). Methods We used data from the Tromsø Study Fit Futures, which invited all first year students in upper secondary high school in two municipalities in northern Norway in 2010–2011. They were reexamined in 2012–2013. Longitudinal data was available for 292 boys and 354 girls. We used multiple linear regression analyses to assess whether self-reported level of physical activity in leisure time at baseline predicted changes in body composition, and analysis of covariance to assess the effects of change in level of activity during follow-up on change in body composition. All analyses were performed sex-specific, and a p-value of < 0.05 was considered statistically significant. Results There were no associations between self-reported leisure time physical activity in the first year of upper secondary high school and changes in any of the considered measure of body composition after 2 years of follow up, with the exception of waist circumference in boys (p = 0.05). In boys, change in fat mass index differed significantly between groups of activity change (p < 0.01), with boys adopting activity or remaining physically active having less increase in fat mass index than the consistently inactive. In girls, change in lean mass index differed significantly between groups of activity change (p = 0.04), with girls adopting physical activity having the highest increase. Conclusions Self-reported leisure time physical activity does not predict changes in body composition in adolescents after 2 years of follow up. Change in the level of physical activity is associated with change in fat mass index in boys and lean mass index in girls.

Download Full-text

Association between fat mass index and fat-free mass index values and cardiovascular risk in adolescents

Revista Paulista de Pediatria (English Edition) ◽

10.1016/j.rppede.2015.06.020 ◽

2016 ◽

Vol 34 (1) ◽

pp. 30-37 ◽

Cited By ~ 2

Author(s):

Patrícia Morais de Oliveira ◽

Fabiana Almeida da Silva ◽

Renata Maria Souza Oliveira ◽

Larissa Loures Mendes ◽

Michele Pereira Netto ◽

...

Keyword(s):

Cardiovascular Risk ◽

Fat Mass ◽

Fat Free Mass ◽

Fat Mass Index

Download Full-text

Maternal smoking during pregnancy and offspring body composition in adulthood: Results from two birth cohort studies

BMJ Open ◽

10.1136/bmjopen-2018-023852 ◽

2019 ◽

Vol 9 (6) ◽

pp. e023852 ◽

Cited By ~ 2

Author(s):

Elma Izze da Silva Magalhães ◽

Natália Peixoto Lima ◽

Ana Maria Baptista Menezes ◽

Helen Gonçalves ◽

Fernando C Wehrmeister ◽

...

Keyword(s):

Body Composition ◽

Waist Circumference ◽

Fat Mass ◽

Maternal Smoking ◽

Height Ratio ◽

Fat Mass Index ◽

Smoking During Pregnancy ◽

Gynoid Fat ◽

Maternal Smoking During Pregnancy ◽

Waist To Height Ratio

ObjectiveTo evaluate the association of maternal smoking during pregnancy with offspring body composition in adulthood and explore the causality of this association.DesignBirth cohort.SettingPopulation-based study in Pelotas, Brazil.ParticipantsAll newborn infants in the city’s hospitals were enrolled in 1982 and 1993. At a mean age of 30.2 and 22.6 years, the 1982 and 1993 cohorts, respectively, followed the subjects and 7222 subjects were evaluated.Primary outcome measuresBody mass index (BMI), fat mass index, android to gynoid fat ratio, waist circumference, waist to height ratio, lean mass index and height.ResultsPrevalence of maternal smoking during pregnancy was 35.1% and 32.6%, in 1982 and 1993 cohorts, respectively. Offspring of smoking mothers showed higher mean BMI (β: 0.84; 95% CI: 0.55 to 1.12 kg/m2), fat mass index (β: 0.44; 95% CI: 0.23 to 0.64 kg/m2), android to gynoid fat ratio (β: 0.016; 95% CI: 0.010 to 0.023), waist circumference (β: 1.74; 95% CI: 1.15 to 2.33 cm), waist to height ratio (β: 0.013; 95% CI: 0.010 to 0.017) and lean mass index (β: 0.33; 95% CI: 0.24 to 0.42 kg/m2), whereas height was lower (β: −0.95; −1.26 to −0.65). Weight gain in the first 2 years captured most of the association of maternal smoking with BMI (96.2%), waist circumference (86.1%) and fat mass index (71.7%).ConclusionsMaternal smoking in pregnancy was associated with offspring body composition measures in adulthood.

Download Full-text

Patterns of body mass index milestones in early life and cardiometabolic risk in early adolescence

International Journal of Epidemiology ◽

10.1093/ije/dyy286 ◽

2019 ◽

Vol 48 (1) ◽

pp. 157-167 ◽

Cited By ~ 10

Author(s):

Izzuddin M Aris ◽

Sheryl L Rifas-Shiman ◽

Ling-Jun Li ◽

Ken P Kleinman ◽

Brent A Coull ◽

...

Keyword(s):

Insulin Resistance ◽

Body Mass Index ◽

Risk Score ◽

Fat Mass ◽

Early Adolescence ◽

Cardiometabolic Risk ◽

Metabolic Risk ◽

Fat Mass Index ◽

Cardiometabolic Profile ◽

Metabolic Risk Score

Abstract Background Few studies have examined the independent and combined relationships of body mass index (BMI) peak and rebound with adiposity, insulin resistance and metabolic risk later in life. We used data from Project Viva, a well-characterized birth cohort from Boston with repeated measures of BMI, to help fill this gap. Methods Among 1681 children with BMI data from birth to mid childhood, we fitted individual BMI trajectories using mixed-effects models with natural cubic splines and estimated age, and magnitude of BMI, at peak (in infancy) and rebound (in early childhood). We obtained cardiometabolic measures of the children in early adolescence (median 12.9 years) and analysed their associations with the BMI parameters. Results After adjusting for potential confounders, age and magnitude at infancy BMI peak were associated with greater adolescent adiposity, and earlier adiposity rebound was strongly associated with greater adiposity, insulin resistance and metabolic risk score independently of BMI peak. Children with a normal timing of BMI peak plus early rebound had an adverse cardiometabolic profile, characterized by higher fat mass index {β 2.2 kg/m2 [95% confidence interval (CI) 1.6, 2.9]}, trunk fat mass index [1.1 kg/m2 (0.8, 1.5)], insulin resistance [0.2 units (0.04, 0.4)] and metabolic risk score [0.4 units (0.2, 0.5)] compared with children with a normal BMI peak and a normal rebound pattern. Children without a BMI peak (no decline in BMI after the rise in infancy) also had adverse adolescent metabolic profiles. Conclusions Early age at BMI rebound is a strong risk factor for cardiometabolic risk, independent of BMI peak. Children with a normal peak-early rebound pattern, or without any BMI decline following infancy, are at greatest risk of adverse cardiometabolic profile in adolescence. Routine monitoring of BMI may help to identify children who are at greatest risk of developing an adverse cardiometabolic profile in later life and who may be targeted for preventive interventions.

Download Full-text

Nutritional status assessment of the Polish Border Guards officers – Body Mass Index or Fat Mass Index?

Proceedings of The Nutrition Society ◽

10.1017/s002966512000333x ◽

2020 ◽

Vol 79 (OCE2) ◽

Author(s):

Anna Anyzewska ◽

Roman Lakomy ◽

Tomasz Lepionka ◽

Ewa Szarska ◽

Ewelina Maculewicz ◽

...

Keyword(s):

Body Mass Index ◽

Nutritional Status ◽

Body Mass ◽

Fat Mass ◽

Well Being ◽

Good Health ◽

Entire Body ◽

Fat Percentage ◽

Fat Mass Index ◽

Status Assessment

AbstractIntroduction:Border Guards service requirements are very specific. Very good health and excellent psycho-physical condition are the main factors that determine effectiveness and reliability of designated tasks. Disorders of nutritional status, such as underweight, overweight or obesity not only impairs well-being, but also are health problem associated with limitation of possibilities to perform Border Guard's tasks and duties and can lead to earlier elimination from the service. The aim of the study was to assess nutritional status, using two indicators: Body Mass Index (BMI) and Fat Mass Index (FMI).Materials and methods:The study was carried out with participation of 259 Border Guards (64 women and 195 men), aged 38 ± 6; years of service: 12 ± 6. An electric bioimpedance method (TANITA MC-780) was used to determine body composition. Body Mass Index (BMI [kg/m2] = body mass [kg] / height2 [m2]) and Fat Mass Index FMI [kg/m2] = fat mass [kg] / height2 [m2]) were calculated for each of the participants.Results and discussion:Examined group of Polish Border Guards officers was characterized by a large variety of assessed anthropometric indicators. According to the BMI classification excess body mass was more often (p < 0.001) observed in men (68%) than in women (25%) and according to the FMI classification excess fat was also more often (p < 0.001) observed in men (55%) than in women (28%). BMI classification of overweight or obese was observed in 41 of participants with the normal FMI level. Fat percentage of women with normal BMI ranged from 11.6 to 33.5% and tat percentage of men with normal BMI ranged from 7.3 to 21.6%. There are difficulties in BMI interpretation in adults with increased physical activity. It seems more reasonable to assess correctness of nutritional status on the basis of an analyze of FMI value, as this indicator assesses degree of fatness, and not the entire body weight, which, in case of uniformed services usually is greater due to extensive muscle mass, which can increase BMI value. It is necessary to take educational activities in the field of health promotion of these people, with a focus on nutrition prevention of metabolic civilization diseases, as well as to motivate Border Guards officers to respect basic principles of proper nutrition to maintain proper body mass and fat mass.

Download Full-text

FP419THE ROLE OF FAT MASS INDEX IN PREDICTING ABNORMAL BLOOD PRESSURE MONITORING IN CHILDREN WITH EARLY CKD

Nephrology Dialysis Transplantation ◽

10.1093/ndt/gfz106.fp419 ◽

2019 ◽

Vol 34 (Supplement_1) ◽

Author(s):

Pei-Chen Lu ◽

Chien-Ning Hsu ◽

I-Chun Lin ◽

Mao-Hung Lo ◽

You-Lin Tain

Keyword(s):

Blood Pressure ◽

Fat Mass ◽

Blood Pressure Monitoring ◽

Pressure Monitoring ◽

Fat Mass Index

Download Full-text

Associations of Hair Cortisol Concentrations with General and Organ Fat Measures in Childhood

The Journal of Clinical Endocrinology & Metabolism ◽

10.1210/clinem/dgaa785 ◽

2020 ◽

Author(s):

Florianne O L Vehmeijer ◽

Susana Santos ◽

Romy Gaillard ◽

Yolanda B de Rijke ◽

Trudy Voortman ◽

...

Keyword(s):

Fat Mass ◽

Visceral Fat ◽

Standard Deviation Score ◽

Population Based ◽

Liver Fat ◽

Hair Cortisol ◽

Fat Mass Index ◽

Nonalcoholic Fatty Liver ◽

Increased Risk ◽

Fat Fraction

Abstract Context Stress may lead to an adverse body fat distribution from childhood onwards. Objective To examine the associations of hair cortisol concentration (HCC) at 6 years with general and organ fat measures, risk of overweight, and nonalcoholic fatty liver disease (NAFLD) at 10 years and to assess whether these were independent of adiposity measures at 6 years. Design, Setting and participants HCCs were measured in hair of 6-year-old children (n = 2042) participating in the Generation R Study, a population-based prospective cohort study. Main Outcome Measures Body mass index (BMI), fat mass index measured by dual-energy X-ray absorptiometry scan, and visceral fat index, pericardial fat index, liver fat fraction measured by magnetic resonance imaging and risk of overweight and NAFLD were obtained at 10 years. Results The associations of higher HCC at 6 years, with higher BMI, fat mass index, and increased risk of overweight at age 10 years are explained by the relationships observed at 6 years. HCCs at 6 years were associated with a higher liver fat fraction (difference 0.11 liver fat fraction standard deviation score; 95% confidence interval [CI] 0.03, 0.18) and a higher risk of NAFLD at 10 years (odds ratio 1.95; 95% CI 1.06, 3.56), independent of fat mass index at 6 years. HCCs were not associated with pericardial or visceral fat indices. Conclusions Higher HCCs at 6 years were associated with higher BMI, fat mass index, liver fat fraction, and higher risks of overweight and NAFLD at 10 years. Only the associations for liver fat fraction and NAFLD were independent of fat mass index at 6 years.

Download Full-text