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 Annual body mass index gain and risk of hypertensive disorders of pregnancy in a subsequent pregnancy

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sho Tano ◽  
Tomomi Kotani ◽  
Takafumi Ushida ◽  
Masato Yoshihara ◽  
Kenji Imai ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Weight Gain ◽  
Body Mass ◽  
Body Weight Gain ◽  
Subsequent Pregnancy ◽  
The Body ◽  
Hypertensive Disorders Of Pregnancy ◽  
Hypertensive Disorders ◽  
Age Related ◽  
History Of

AbstractWeight gain during interpregnancy period is related to hypertensive disorders of pregnancy (HDP). However, in interpregnancy care/counseling, the unpredictability of the timing of the next conception and the difficulties in preventing age-related body weight gain must be considered while setting weight management goals. Therefore, we suggest considering the annual change in the body mass index (BMI). This study aimed to clarify the association between annual BMI changes during the interpregnancy period and HDP risk in subsequent pregnancies. A multicenter retrospective study of data from 2009 to 2019 examined the adjusted odds ratio (aOR) of HDP in subsequent pregnancies. The aORs in several annual BMI change categories were also calculated in the subgroups classified by HDP occurrence in the index pregnancy. This study included 1,746 pregnant women. A history of HDP (aOR, 16.76; 95% confidence interval [CI], 9.62 − 29.22), and annual BMI gain (aOR, 2.30; 95% CI, 1.76 − 3.01) were independent risk factors for HDP in subsequent pregnancies. An annual BMI increase of ≥ 1.0 kg/m2/year was related to HDP development in subsequent pregnancies for women without a history of HDP. This study provides data as a basis for interpregnancy care/counseling, but further research is necessary to validate our findings and confirm this relationship.

scholarly journals Metabolic changes after bariatric surgical procedures

2020 ◽  
Vol 2 (1) ◽  
pp. 14-31
Author(s):  
Mohammed Ahmed ◽  
Saad Hummady ◽  
Falih ALgazgoos
Keyword(s):  
Body Mass Index ◽  
Lipid Profile ◽  
Body Mass ◽  
Surgical Procedures ◽  
Bypass Surgery ◽  
Gastric Bypass Surgery ◽  
Glycosylated Hemoglobin ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Independent Effect

Introduction: Obesity is associated with diabetes, dyslipidemia and increased cardiovascular disease risks. Bariatric surgeries are one of the most reliable ways to treat obesity. Bariatric Surgical procedures started in Basra at 2009 and since then, thousands of surgeries had been made, mainly in Al-Sadr Teaching Hospital. Objective: To prospectively evaluate the short term effect of bariatric surgical procedures on body mass index (BMI), lipid profile and glycosylated hemoglobin (HbA1C) and compare the effects of various types of these surgical procedures. Methods: A 12-month prospective study on 73 patients who underwent three types of bariatric surgeries, laparoscopic sleeve gastrectomy surgery (LSG), laparoscopic REUX-EN-Y gastric bypass surgery (LRYGB) and minigastric bypass surgery (MGB). Body mass index (BMI), HbA1C, total cholesterol (TC), High-Density-Lipoprotein cholesterol (HDL), Low-Density-Lipoprotein cholesterol (LDL) and triglycerides (TG) levels were evaluated before surgery and at 3 and 6 months postoperatively. Results: All bariatric procedures show significant improvement in all parameters (increment in HDL, reduction in BMI, A1C, HDL, LDL, TC, TG) at 3 months that continue to improve more at 6 months postoperatively (p<0.001), however, bypass surgeries (LRYGB and MGB) has additional favorable independent effect on A1C and LDL seen at 6 months post operatively. Conclusion: All of the studied bariatric surgeries improve BMI, HbA1C and lipid profile significantly, however, bypass procedures have more effect on LDL and HbA1C that seem to be procedure related and independent from weight loss or other changes.

scholarly journals Body Mass Index Moderates Brain Dynamics and Executive Function: A Structural Equation Modeling Approach

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Lauren Kupis ◽  
Zachary T. Goodman ◽  
Salome Kornfeld ◽  
Celia Romero ◽  
Bryce Dirks ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Executive Function ◽  
Body Mass ◽  
Structural Equation ◽  
Model Fit ◽  
Equation Modeling ◽  
Brain Dynamics ◽  
Latent Factors ◽  
The Impact ◽  
The Relationship

Obesity is associated with negative physical and mental health outcomes. Being overweight/obese is also associated with executive functioning impairments and structural changes in the brain. However, the impact of body mass index (BMI) on the relationship between brain dynamics and executive function (EF) is unknown. The goal of the study was to assess the modulatory effects of BMI on brain dynamics and EF. A large sample of publicly available neuroimaging and neuropsychological assessment data collected from 253 adults (18–45 years; mean BMI 26.95 kg/m2 ± 5.90 SD) from the Nathan Kline Institute (NKI) were included (http://fcon_1000.projects.nitrc.org/indi/enhanced/). Participants underwent resting-state functional MRI and completed the Delis-Kaplan Executive Function System (D-KEFS) test battery (1). Time series were extracted from 400 brain nodes and used in a co-activation pattern (CAP) analysis. Dynamic CAP metrics including dwell time (DT), frequency of occurrence, and transitions were computed. Multiple measurement models were compared based on model fit with indicators from the D-KEFS assigned a priori (shifting, inhibition, and fluency). Multiple structural equation models were computed with interactions between BMI and the dynamic CAP metrics predicting the three latent factors of shifting, inhibition, and fluency while controlling for age, sex, and head motion. Models were assessed for the main effects of BMI and CAP metrics predicting the latent factors. A three-factor model (shifting, inhibition, and fluency) resulted in the best model fit. Significant interactions were present between BMI and CAP 2 (lateral frontoparietal (L-FPN), medial frontoparietal (M-FPN), and limbic nodes) and CAP 5 (dorsal frontoparietal (D-FPN), midcingulo-insular (M-CIN), somatosensory motor, and visual network nodes) DTs associated with shifting. A higher BMI was associated with a positive relationship between CAP DTs and shifting. Conversely, in average and low BMI participants, a negative relationship was seen between CAP DTs and shifting. Our findings indicate that BMI moderates the relationship between brain dynamics of networks important for cognitive control and shifting, an index of cognitive flexibility. Furthermore, higher BMI is linked with altered brain dynamic patterns associated with shifting.

scholarly journals The Future Excess Fraction of Cancer Attributable to High Body Mass Index in Australia

2018 ◽  
Vol 4 (Supplement 2) ◽  
pp. 194s-194s ◽  
Author(s):  
R. Carey ◽  
R. Norman ◽  
D. Whiteman ◽  
A. Reid ◽  
R. Neale ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Adult Population ◽  
Significant Proportion ◽  
High Body Mass Index ◽  
Overweight And Obesity ◽  
High Body ◽  
Increased Risk ◽  
The Future ◽  
Future Burden

Background: High body mass index (BMI > 25 kg/m2) has been found to be associated with an increased risk of many cancers, including cancers of the colon and rectum, liver, and pancreas. Aim: This study aimed to estimate the future burden of cancer resulting from current levels of overweight and obesity in Australia. Methods: The future excess fraction method was used to estimate the future burden of cancer among the proportion of the Australian adult population who were overweight or obese in 2016. Calculations were conducted for 13 cancer types, including cancers of the colon, rectum, kidney, and liver. Results: The cohort of 18.7 million adult Australians in 2016 will develop ∼7.6 million cancers over their lifetime. Of these, ∼402,500 cancers (5.3%) will be attributable to current levels of overweight and obese. The majority of these will be postmenopausal breast cancers (n = 72,300), kidney cancers (n = 59,200), and colon cancers (n = 55,100). More than a quarter of future endometrial cancers (30.3%) and esophageal adenocarcinomas (35.8%) will be attributable to high body mass index. Conclusion: A significant proportion of future cancers will result from current levels of high body mass index. Our estimates are not directly comparable to past estimates of the burden from overweight and obesity because they describe different quantities - future cancers in currently exposed vs current cancers due to past exposures. The results of this study provide us with relevant up-to-date information about how many cancers in Australia could be prevented.

Aerobic Capacity, Obesity, and Atherosclerotic Risk Factors in Male Adolescents

PEDIATRICS ◽  
1985 ◽  
Vol 75 (5) ◽  
pp. 813-818
Author(s):  
Raymond R. Fripp ◽  
James L. Hodgson ◽  
Peter O. Kwiterovich ◽  
John C. Werner ◽  
H. Gregg Schuler ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Body Mass Index ◽  
Regression Analysis ◽  
Body Mass ◽  
Linear Regression Analysis ◽  
Density Lipoprotein ◽  
Plasma Triglyceride ◽  
Lipoprotein Cholesterol ◽  
Atherosclerotic Risk Factors

Correlations between aerobic capacity, obesity, and atherosclerotic risk factors were evaluated in adolescents with low-to-moderate levels of physical fitness. Subjects with higher levels of fitness had a more favorable risk profile with decreased body mass index, lower systolic and diastolic blood pressure and plasma triglyceride levels, and higher plasma high-density lipoprotein-cholesterol levels. Simple linear regression analysis revealed an association between body mass index and blood pressure, plasma triglyceride and plasma highdensity lipoprotein-cholesterol. The level of aerobic fitness as determined by exercise duration was also associated with the same atherosclerotic risk factors. However, multiple linear regression analysis demonstrated that body mass index provided the largest explanation, by those variables examined, of the interindividual variance in blood pressure, plasma triglyceride, and high-density lipoprotein-cholesterol. Aerobic fitness contributed only minimally to the variation in these risk factors. These findings suggest that if aerobic conditioning is used to modify atherosclerotic risk factors, it should be accompanied by a reduction in weight in adolescents with low-to-moderate levels of physical fitness.

The Rate of Increase in Blood Pressure in Children 5 Years of Age Is Related to Changes in Aerobic Fitness and Body Mass Index

PEDIATRICS ◽  
1994 ◽  
Vol 94 (4) ◽  
pp. 465-470
Author(s):  
Steven Shea ◽  
Charles E. Basch ◽  
Bernard Gutin ◽  
Aryeh D. Stein ◽  
Isobel R. Contento ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Body Mass Index ◽  
Systolic Blood Pressure ◽  
Diastolic Blood Pressure ◽  
Body Mass ◽  
Aerobic Fitness ◽  
Medical Center ◽  
Multiple Regression Model ◽  
Age Related ◽  
Rate Of Increase

Objective. To determine whether changes in aerobic fitness and body mass index are related to the age-related rise in blood pressure in healthy preschool children. Study design. Longitudinal analyses of 196 free-living children aged 5 years at baseline who were followed over a mean of 19:7 months. Aerobic fitness was assessed using a treadmill All measures were obtained on multiple occasions at scheduled visits as part of a longitudinal cohort study. Setting. An inner-city medical center. Outcome measures. Blood pressure was measured using an automated Dinamap device. Results. Mean systolic blood pressure was 95.3 mmHg (SD 8.38) at baseline and increased by 4.46 mmHg per year. Mean diastolic blood pressure was 53.9 mmHg (SD 5.81) at baseline and did not change significantly. Children in the highest quintile of increase in fitness had a significantly smaller increase in systolic blood pressure compared to children in the lowest quintile (2.92 vs 5.10 mmHg/year; P = .03). Children in the lowest quintile of increase in body mass index did not differ significantly in rate of increase in systolic blood pressure compared to children in the highest quintile (3.92 vs 4.96 mmHg/year). In a multiple regression model including baseline systolic blood pressure, fitness, height, body mass index, and other covariates, greater increase in fitness (P = .03) and lesser increase in body mass index (P &lt; .01) were associated with lower rates of increase in systolic blood pressure. In a similar multivariate analysis, an increase in fitness was also associated with a lower rate of increase in diastolic blood pressure (P = .02) Conclusion. Young children who increase their aerobic fitness or decrease their body mass index reduce the rate of the age-related increase in blood pressure. These observations may have implications for development of interventions directed at the primary prevention of hypertension.

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