scholarly journals Association between fat mass index, fat‐free mass index, and hemoglobin A1c in a Japanese population: The Tohoku Medical Megabank Community‐based Cohort Study

2021 ◽  
Author(s):  
Masato Takase ◽  
Tomohiro Nakamura ◽  
Takumi Hirata ◽  
Naho Tsuchiya ◽  
Mana Kogure ◽  
...  
Keyword(s):  
Cohort Study ◽  
Fat Mass ◽  
Japanese Population ◽  
Hemoglobin A1c ◽  
Fat Free Mass ◽  
Community Based ◽  
Fat Mass Index

scholarly journals Association between the combined fat mass and fat-free mass index and hypertension: The Tohoku Medical Megabank Community-based Cohort Study

2021 ◽  
pp. 1-12
Author(s):  
Masato Takase ◽  
Tomohiro Nakamura ◽  
Naho Tsuchiya ◽  
Mana Kogure ◽  
Fumi Itabashi ◽  
...  
Keyword(s):  
Cohort Study ◽  
Fat Mass ◽  
Fat Free Mass ◽  
Community Based

scholarly journals Sex Differences in Association Between Body Composition and Frailty or Physical Performance in Community-Dwelling Older Adults

2020 ◽  
Author(s):  
Yunsoo Soh ◽  
Chang Won Won
Keyword(s):  
Body Composition ◽  
Logistic Regression ◽  
Cohort Study ◽  
Physical Performance ◽  
Fat Mass ◽  
Frailty Index ◽  
Community Dwelling ◽  
Fat Free Mass ◽  
Fat Mass Index ◽  
The Relationship

Abstract BackgroundFrailty is a common geriatric condition due to aging, defined as a decrease in the functional reserve to maintain the homeostasis. As part of the aging process, body composition changes occur. This study investigated the relationship between body composition and frailty in a community-dwelling elderly Korean population.MethodsThis cross-sectional cohort study analyzed data of 2,385 elderly participants (aged 70–84 years, 1131 males and 1254 females) of the Korean Frailty and Aging Cohort Study from 2016 to 2017. Body composition, including total and trunk fat masses and fat-free mass, were measured with dual-energy X-ray absorptiometry. Fat mass index (FMI), trunk fat mass index (TFMI), and fat-free mass index (FFMI) represented total fat mass, trunk fat mass, and fat-free mass according to height. Based on the frailty index developed by Fried, we compared the frail and non-frail groups. Poor physical performance assessed with the short physical performance battery score of <9 is considered frailty. To evaluate the relationship between the variables, simple and fully adjusted multivariable logistic regression analyses were performed according to sex.ResultsAmong the participants, 462 (19.3%) were defined as the frail group, with a significantly high mean age of 77.9±4.0 years. In the logistic regression analysis of frailty based on body mass index (BMI) categories, underweight (BMI<18 kg/m2) participants showed a high incidence of frailty in both sexes. BMI showed an association with frailty only in males. In both sexes, FFMI was associated with a lower incidence of frailty, which was statistically significant in the fully adjusted models. In the female, fat-related indexes including body fat percentage, FMI, and TFMI showed a significant association with poor physical performance. In contrast, males with low FFMI only showed a significant association with poor physical performance.ConclusionsFrailty closely correlated with FFMI in both sexes. The poor physical performance associated with frailty correlated with fat-related body composition in females and fat-free mass in males owing to the difference in body composition between the sexes. In the assessment of frailty, body composition and sex-related differences should be analyzed.

scholarly journals The influence of birth order and number of siblings on adolescent body composition: evidence from a Brazilian birth cohort study

2015 ◽  
Vol 114 (1) ◽  
pp. 118-125 ◽  
Author(s):  
Fernanda de Oliveira Meller ◽  
M. C. F. Assunção ◽  
A. A. Schäfer ◽  
C. L. de Mola ◽  
A. J. D. Barros ◽  
...  
Keyword(s):  
Body Composition ◽  
Cohort Study ◽  
Birth Order ◽  
Birth Cohort ◽  
Fat Mass ◽  
Perinatal Period ◽  
Fat Free Mass ◽  
Birth Cohort Study ◽  
Fat Mass Index ◽  
Air Displacement Plethysmography

The aim of this study was to estimate the association between birth order and number of siblings with body composition in adolescents. Data are from a birth cohort study conducted in Pelotas, Brazil. At the age of 18 years, 4563 adolescents were located, of whom 4106 were interviewed (follow-up rate 81·3 %). Of these, 3974 had complete data and were thus included in our analysis. The variables used in the analysis were measured during the perinatal period, or at 11, 15 and/or 18 years of age. Body composition at 18 years was collected by air displacement plethysmography (BOD POD®). Crude and adjusted analyses of the association between birth order and number of siblings with body composition were performed using linear regression. All analyses were stratified by the adolescent sex. The means of BMI, fat mass index and fat-free mass index among adolescents were 23·4 (sd 4·5) kg/m2, 6·1 (sd 3·9) kg/m2 and 17·3 (sd 2·5) kg/m2, respectively. In adjusted models, the total siblings remained inversely associated with fat mass index (β = − 0·37 z-scores, 95 % CI − 0·52, − 0·23) and BMI in boys (β = − 0·39 z-scores, 95 % CI − 0·55, − 0·22). Fat-free mass index was related to the total siblings in girls (β = 0·06 z-scores, 95 % CI − 0·04, 0·17). This research has found that number of total siblings, and not birth order, is related to the fat mass index, fat-free mass index and BMI in adolescents. It suggests the need for early prevention of obesity or fat mass accumulation in only children.

The fat mass index, not the fat-free mass index, is associated with impaired physical performance in older adult subjects: Evidence from a cross-sectional study

2019 ◽  
Vol 38 (2) ◽  
pp. 877-882 ◽  
Author(s):  
Maribel Ramírez Torres ◽  
Roxana E. Ruiz Valenzuela ◽  
Julián Esparza-Romero ◽  
Miriam T. López Teros ◽  
Heliodoro Alemán-Mateo
Keyword(s):  
Older Adult ◽  
Physical Performance ◽  
Fat Mass ◽  
Cross Sectional Study ◽  
Fat Free Mass ◽  
Sectional Study ◽  
Cross Sectional ◽  
Fat Mass Index

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

2016 ◽  
Vol 34 (1) ◽  
pp. 30-37 ◽  
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

scholarly journals Accounting for height in indices of body composition during childhood and adolescence

2019 ◽  
Vol 4 ◽  
pp. 105 ◽  
Author(s):  
Linda M. O'Keeffe ◽  
Abigail Fraser ◽  
Laura D. Howe
Keyword(s):  
Body Composition ◽  
Cohort Study ◽  
Body Mass ◽  
Fat Mass ◽  
Early Life ◽  
Fat Free Mass ◽  
Childhood And Adolescence ◽  
Total Body Mass ◽  
Total Body ◽  
Age And Sex

Correlations of body composition with height vary by age and sex during childhood. Standard approaches to accounting for height in measures of body composition (dividing by height (in meters)2) do not take this into account. Using measures of total body mass (TBM), fat mass (FM) and fat free mass (FFM) at ages nine, 11, 13, 15 and 18 years from a longitudinal UK cohort study (ALSPAC), we calculated indices of body composition at each age by dividing measures by height (in meters)2. We then produced age-and sex-specific powers of height using allometric regressions and calculated body composition indices by dividing measures by height raised to these powers. TBM, FM and FFM divided by height2 were correlated with height up-to age 11 in females. In males, TBM and FM divided by height2 were correlated with height up-to age 15 years while FM divided by height2 was correlated with height up-to age 11 years. Indices of body composition using age-and sex-specific powers were not correlated with height at any age. In early life, age-and sex-specific powers of height, rather than height in meters2, should be used to adjust body composition for height when measures of adiposity/mass independent of height are required.

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