scholarly journals Changes in bicycling over time associated with a new bike lane: Relations with kilocalories energy expenditure and body mass index

2016 ◽  
Vol 3 (3) ◽  
pp. 357-365 ◽  
Author(s):  
Barbara B. Brown ◽  
Douglas Tharp ◽  
Calvin P. Tribby ◽  
Ken R. Smith ◽  
Harvey J. Miller ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Energy Expenditure ◽  
Body Mass ◽  
Over Time

Heritability of Longitudinal Measures of Body Mass Index and Lipid and Lipoprotein Levels in Aging Twins

2007 ◽  
Vol 10 (5) ◽  
pp. 703-711 ◽  
Author(s):  
Ellen L. Goode ◽  
Stacey S. Cherny ◽  
Joe C. Christian ◽  
Gail P. Jarvik ◽  
Mariza de Andrade
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Genetic Factors ◽  
Significant Proportion ◽  
Lipoprotein Cholesterol ◽  
Equation Modeling ◽  
Shared Environment ◽  
Significant Contributor ◽  
Age Related ◽  
Over Time

AbstractBody-mass index (BMI), total cholesterol (TC), lowdensity lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and triglyceride (TG) levels are known to be highly heritable. We evaluated the genetic and environmental relationships of these measures over time in an analysis of twin pairs. Monozygotic (235 pairs) and dizygotic (260 pairs) male twins were participants in the National Heart Lung and Blood Institute Veteran Twin Study, and were followed with three clinical exams from mean age 48 years to mean age 63 years. Structural equation modeling (SEM) with adjustment forAPOEgenotype (a significant contributor to TC and LDL-C) was used to assess longitudinal patterns of heritability. Results indicated a contribution of genetic factors to BMI, TC, LDL-C, HLD-C, and TG. Modest increases over time were observed in the heritability of BMI (from 0.48 to 0.61), TC (from 0.46 to 0.57), LDL-C (from 0.49 to 0.64), and HDL-C (from 0.50 to 0.62), but this trend was not present for TG. There was a corresponding decrease in shared environmental influences over time for these traits, although shared environment was a significant contributor only for HDL-C. Moreover, we observed that genetic influences for all measures were significantly correlated over time, and we found no evidence of age-specific genetic effects. In summary, longitudinal analyses of twin data indicate that genetic factors do not account for a significant proportion of the variation in age-related changes of BMI or lipid and lipoprotein levels.

Analysis of Body Mass Index (BMI) Trends Among a Pediatric Dental Patient Population: A Pilot Study. (Preprint)

2021 ◽  
Author(s):  
Tengfei Su ◽  
Mac Jackson ◽  
Keaton Sacry ◽  
Karl Kingsley MPH
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Low Income ◽  
Patient Population ◽  
Pediatric Population ◽  
Primary Care Providers ◽  
Overweight And Obesity ◽  
Dental School ◽  
Care Providers ◽  
Over Time

BACKGROUND Over the past few decades, a growing trend of overweight and obesity has emerged among the pediatric population. This is a cause of significant concern as these are significantly correlated to other negative oral and systemic health outcomes over time. Although measurement of body mass index (BMI) is common among pediatric physicians and primary care providers, few studies have explored the feasibility of BMI measurement and analysis from pediatric dental providers. OBJECTIVE The primary objective of this study was to compile and analyze pediatric BMI measurements taken from a pediatric dental school patient population. METHODS This study was a retrospective analysis of previously collected data of pediatric patients between 2012 and 2019 (N=451), which was reviewed and approved by the Institutional Review Board (IRB). Descriptive statistics and trend analysis were compiled to determine the trends in pediatric BMI over time. RESULTS Nearly equal percentages of females and males were represented in the study (P=0.432), with the overwhelming majority identified as racial/ethnic minorities (84.5%), P=0.0075. These data revealed that pediatric BMI increased significantly from 25.6 in 2012 to 31.3 in 2018 (22.1%), P=0.031. No significant differences between males and females were observed (P=0.4824) or between minority and non-minority patients (P=0.8288). CONCLUSIONS This study provides significant novel temporal information regarding pediatric BMI among this low-income, minority patient population and highlights the need for expanding the dental school (and pediatric dental residency) curriculum to include more topics related to measuring and tracking overweight and obese children and the most appropriate methods for use in the pediatric dental office.

Serum leptin levels and energy expenditure in normal weight women

1998 ◽  
Vol 76 (2) ◽  
pp. 237-241 ◽  
Author(s):  
L J Martin ◽  
PJH Jones ◽  
R V Considine ◽  
W Su ◽  
N F Boyd ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Food Intake ◽  
Energy Expenditure ◽  
Body Mass ◽  
Body Fat ◽  
Positive Association ◽  
Normal Weight ◽  
Serum Leptin ◽  
Percentage Body Fat ◽  
Healthy Humans

To investigate whether circulating leptin levels are associated with energy expenditure in healthy humans, doubly labeled water energy measurements and food intake assessment were carried out in 27 women (mean age, 48.6 years; weight, 61.9 kg; body mass index, 23.2). Energy expenditure was determined over 13 days. Food intake was measured by 7-day food records. Leptin was measured by radioimmunoassay. Leptin level was strongly associated with percentage body fat (r = 0.59; p < 0.001), fat mass (r = 0.60; p < 0.001), and body mass index (r = 0.41; p = 0.03), but no correlation was observed with energy expenditure (r = 0.02; p = 0.93). After controlling for percentage body fat, a positive association of leptin level with energy expenditure of marginal significance (p = 0.06) was observed. There were no significant univariate associations of age, physical activity, lean body mass, height, or dietary variables with leptin level. When controlling for body fat, a significant positive correlation was observed for percent energy from carbohydrate and negative correlations with dietary fat and alcohol intake. These findings confirm previous associations between leptin and body fat content and suggest a relationship between serum leptin and energy expenditure level in healthy humans.Key words: leptin, energy expenditure, body composition, diet.

ENERGY EXPENDITURE IN 21-HYDROXYLASE CONGENITAL ADRENAL HYPERPLASIA PATIENTS AND COMPARISON WITH PREDICTIVE EQUATIONS

2020 ◽  
Vol 26 (4) ◽  
pp. 388-398
Author(s):  
Daniel Minutti de Oliveira ◽  
Ana Carolina Junqueira Vasques ◽  
Ezequiel Moreira Gonçalves ◽  
Sofia Helena Valente de Lemos-Marini ◽  
Gil Guerra-Junior ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Weight ◽  
Energy Expenditure ◽  
Congenital Adrenal Hyperplasia ◽  
Body Mass ◽  
Indirect Calorimetry ◽  
Resting Energy Expenditure ◽  
Adrenal Hyperplasia ◽  
Predictive Equations ◽  
17 Hydroxyprogesterone

Objective: To characterize resting energy expenditure (REE) in patients with classic 21-hydroxylase congenital adrenal hyperplasia (21-OH CAH) using indirect calorimetry and compare it to the most commonly used REE predictive equations. Methods: This case-control study comprised 29 post-pubertal 21-OH CAH patients regularly followed at the University of Campinas. Elevated serum 17-hydroxyprogesterone and CYP21 gene molecular analysis confirmed the diagnosis. A healthy control group paired by age, gender, and body mass index was examined. Dual-energy X-ray absorptiometry (DEXA) measured body compositions. A bioimpedance analyzer determined fat-free mass, and indirect calorimetry using a metabolic cart measured REE. Results: Unlike our initial hypothesis, REE was similar between the groups (18.7 ± 3.1 kcal/kg/day in CAH vs. 20.3 ± 3.5 kcal/kg/day in controls; P = .728). No predictive equations reached the stipulated accuracy criteria, thus lacking validity in REE assessment in adults with the characteristics of the group studied. DEXA analysis revealed higher body fat and diminished nonbone lean mass in 21-OH CAH. Anthropometric and bioelectrical impedance parameters were not significantly different. Conclusion: Classic 21-OH CAH is generally followed in reference centers, which may facilitate indirect calorimetry use for REE measurement. Alternatively, considering our REE findings in adult 21-OH CAH patients, nutrition management based on 25 kcal/body weight/day (measured REE × activity factor 1.2 to 1.3) may be reasonable for current body weight maintenance in these patients. Abbreviations: 17-OHP = 17-hydroxyprogesterone; 21-OH CAH = classic 21-hydroxylase deficiency congenital adrenal hyperplasia; BMI = body mass index; REE = resting energy expenditure; VO2 = volume of oxygen; VCO2 = volume of carbon dioxide

scholarly journals Child maltreatment and body mass index over time: The roles of social support and stress responses

2019 ◽  
Vol 100 ◽  
pp. 214-220 ◽  
Author(s):  
Rebeccah L. Sokol ◽  
Susan T. Ennett ◽  
Nisha C. Gottfredson ◽  
Meghan E. Shanahan ◽  
Jennifer M. Poti ◽  
...  
Keyword(s):  
Social Support ◽  
Body Mass Index ◽  
Child Maltreatment ◽  
Body Mass ◽  
Stress Responses ◽  
Over Time

scholarly journals Body mass index and mortality in relation to age and follow-up of 30 years in large Austrian cohorts

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
G Nagel ◽  
R S Peter ◽  
B Föger ◽  
H Concin
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Health Care Systems ◽  
Generalized Additive Models ◽  
Population Level ◽  
Additive Models ◽  
Calendar Time ◽  
Care Systems ◽  
Over Time

Abstract Background Obesity and its health consequences will dominate health care systems in many countries during the next decades. Prevention programs have been implemented. However, the optimum body mass index (BMI) in relation to all-cause mortality on population level is still a matter of debate. Material and Method Data 1/1989-6/2005 of the Vorarlberg Health Monitoring & Prevention Program (VHM&PP,) and 8/2005-12/2015 for Vorarlberg provided by the Main Association of Austrian Social Security Institutions were analyzed. In both cohorts, information was available on age, sex, measured height and weight as well as the date and cause of death. Generalized additive models were used to model the mortality rate as function of calendar time, age and follow-up. Results The VHM&PP cohort consisted of 85,488 men and 99,873 women and the later of 129,817 men and 152,399 women. In the second cohort, men (mean age 48 (SD16.9) vs. 45.3 (SD 15.5) and women (48.3 (SD 17.7) vs. 45.6 (SD 16.6) years) were slightly older than in the VHM&PP cohort. The average BMI was slightly higher in men (26.1 (SD4.0) vs. 25.7 (SD3.8) kg/m2) but not in women (24.6 (SD 4.8) vs. 24.7 (SD 4.9) kg/m2), respectively. In the VHM&PP cohort more ever smokers were found in both men (40.3 vs. 22.4%) and women (24.8 vs. 18.4%) than in the subsequent cohort. BMI optimum increased slightly between 1985 and 2015, from 24.9 (95%-CI: 24.0-25.9) to 26.4 (25.3-27.3) in men and from 22.4 (21.8-23.1) to 23.3 (22.5-24.5) kg/m2 in women. However, age and follow-up had major impact on the increase. In younger age the associations are quite stable, while in men over 50 years and in women over 60 years the BMI optimum decreased with length of follow-up. Conclusions Overall the BMI optimum increased slightly over time. However, age and follow-up had major impact on the association. These results suggest, that prognosis of obesity related diseases has improved over time. To detangle this further research is necessary. Key messages In Austria the BMI optimum increased slightly over time. Age and follow-up time had major impact on the association.

scholarly journals Relation of body mass index and body fatness to energy expenditure: longitudinal changes from preadolescence through adolescence

2004 ◽  
Vol 80 (5) ◽  
pp. 1262-1269 ◽  
Author(s):  
Linda G Bandini ◽  
Aviva Must ◽  
Sarah M Phillips ◽  
Elena N Naumova ◽  
William H Dietz
Keyword(s):  
Body Mass Index ◽  
Energy Expenditure ◽  
Body Mass ◽  
Body Fatness ◽  
Longitudinal Changes
Sign in / Sign up

Export Citation Format

Share Document