scholarly journals Neighborhood Ethnic Composition, Spatial Assimilation, and Change in Body Mass Index Over Time Among Hispanic and Chinese Immigrants: Multi-Ethnic Study of Atherosclerosis

2014 ◽  
Vol 104 (11) ◽  
pp. 2138-2146 ◽  
Author(s):  
Félice Lê-Scherban ◽  
Sandra S. Albrecht ◽  
Theresa L. Osypuk ◽  
Brisa N. Sánchez ◽  
Ana V. Diez Roux
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Chinese Immigrants ◽  
Ethnic Composition ◽  
Ethnic Study ◽  
Spatial Assimilation ◽  
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.

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

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.

PS6 - 34. Microvascular function and Body Mass Index development over time, the Amsterdam Growth and Health Longitudinal Study

2011 ◽  
Vol 9 (3) ◽  
pp. 114-114
Author(s):  
Nienke J. Wijnstok ◽  
Trynke Hoekstra ◽  
Yvo M. Smulders ◽  
Erik. H. Serne ◽  
Etto C. Eringa ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Longitudinal Study ◽  
Body Mass ◽  
Microvascular Function ◽  
Index Development ◽  
Over Time

scholarly journals Maternal depression trajectories and child BMI in a multi-ethnic sample: a latent growth modeling analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Charlotte V. Farewell ◽  
Ryley Donohoe ◽  
Zaneta Thayer ◽  
James Paulson ◽  
Jacinda Nicklas ◽  
...  
Keyword(s):  
Mental Health ◽  
Body Mass Index ◽  
Body Mass ◽  
Latent Growth Modeling ◽  
Antenatal Depression ◽  
Latent Growth ◽  
Child Body Mass Index ◽  
Development Outcomes ◽  
Child Bmi ◽  
Over Time

Abstract Background Perinatal (antenatal and postpartum) depression impacts approximately 12% of mothers. Perinatal depression can impact everyday functioning for mothers, and the relationship with, and development of, their children. The purpose of this study was to investigate depression trajectories from the antenatal period through 54-months postpartum and associations with child body mass index at 54-months postpartum. Methods This study applied latent growth modeling to the Growing Up in New Zealand study, which is a longitudinal pregnancy cohort study that provides nationally representative-level data, to investigate associations between depression at three time points (antenatal, 9-months postpartum, 54-months postpartum) and child body mass index at 54-months (n=4897). Results The average slope of depression for this sample is low and decreases over time. When child BMI was added to the model as an outcome variable, both antenatal depression (B=.25, p<.01), and the rate of change of depression across the perinatal and postpartum periods (B=.09, p<.01) were associated with child BMI at 54-months postpartum. After controlling for sociodemographic characteristics, antenatal depression, but not the slope of depression, remained significantly associated with child BMI (B=.05, p<.05). When controlling for maternal pre-pregnancy BMI the effect of antenatal depression on child BMI at 54-months was entirely attenuated (χ2 (9) = 39.60, p < .05, SRMR = 0.01, CFI = .99, RMSEA = 0.03, BIC=53213). Conclusions Our findings align with the Developmental Origins of Health and Disease theory and imply that both the physical and mental health of mothers during pregnancy may be important indicators of child growth and development outcomes. Early intervention directed towards women who have even mild depression scores during pregnancy may promote healthy child development outcomes. Additionally, given the heterogeneity of depressive symptoms over time seen in this study, multiple assessment periods across the postpartum period may be valuable to adequately address and support maternal mental health.

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