Effects of selective return on estimates of heritability for body mass index in the national heart, lung, and blood institute twin study

1991 ◽  
Vol 8 (6) ◽  
pp. 371-380 ◽  
Author(s):  
Joseph V. Selby ◽  
Terry Reed ◽  
Beth Newman ◽  
Richard R. Fabsitz ◽  
Dorit Carmelli ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Twin Study ◽  
Blood Institute ◽  
National Heart ◽  
National Heart Lung

Evidence for Multiple Determinants of the Body Mass Index: The National Heart, Lung, and Blood Institute Family Heart Study

1998 ◽  
Vol 6 (2) ◽  
pp. 107-114 ◽  
Author(s):  
Ingrid B. Borecki ◽  
Millicent Higgins ◽  
Pamela J. Schreiner ◽  
Donna K. Arnett ◽  
Elizabeth Mayer-Davis ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
The Body ◽  
Blood Institute ◽  
Family Heart Study ◽  
National Heart ◽  
Heart Study ◽  
National Heart Lung

scholarly journals Evaluation of relationship between obesity and asthma severity

2019 ◽  
Vol 15 (4) ◽  
pp. 44-47
Author(s):  
Masome Rabieepour ◽  
Seyed Arman Seyed Mokhtari ◽  
Hamed Mamizadeh
Keyword(s):  
Body Mass Index ◽  
Correlation Coefficient ◽  
Body Mass ◽  
Significant Relationship ◽  
Analytical Study ◽  
Asthma Severity ◽  
Blood Institute ◽  
National Heart ◽  
National Heart Lung

Background: The prevalence of both obesity and asthma has risen in recent years. We sought to investigate whether obesity may be related to asthma. Materials and methods: In this analytical study, 177 patients with asthma were enrolled. Obesity was defined as a body mass index (BMI) greater than 30. Asthma severity was defined by using the National Heart Lung and Blood Institute 1997 guidelines. Results: Of the 177 patients, there were 80 males and 97 females. 38.4 percent of the sample was obese. There is no significant relationship between BMI and asthma severity (P=0.76) but as established by Pearsons correlation coefficient a positive and significant correlation is present between BMI and FEV1/FVC values (r=0.32 P=0.0001). Females with asthma were significantly more overweight than males (p = 0.001). Conclusions: In our study, there was a significant correlation between body mass index and sex of patients with asthma. Women had the highest percentages of asthma compared to men, and had a higher body mass index than men.

Heritability of Cognitive Performance in Aging Twins The National Heart, Lung, and Blood Institute Twin Study

1990 ◽  
Vol 47 (3) ◽  
pp. 259-262 ◽  
Author(s):  
G. E. Swan ◽  
D. Carmelli ◽  
T. Reed ◽  
G. A. Harshfield ◽  
R. R. Fabsitz ◽  
...  
Keyword(s):  
Cognitive Performance ◽  
Twin Study ◽  
Blood Institute ◽  
National Heart ◽  
National Heart Lung

Depressive Symptoms and Metabolic Risk in Adult Male Twins Enrolled in the National Heart, Lung, and Blood Institute Twin Study

2003 ◽  
Vol 65 (3) ◽  
pp. 490-497 ◽  
Author(s):  
Jeanne M. McCaffery ◽  
Raymond Niaura ◽  
John F. Todaro ◽  
Gary E. Swan ◽  
Dorit Carmelli
Keyword(s):  
Depressive Symptoms ◽  
Adult Male ◽  
Twin Study ◽  
Metabolic Risk ◽  
Blood Institute ◽  
National Heart ◽  
National Heart Lung

scholarly journals Evaluation of Reliability of the Recomputed Nutrient Intake Data in the National Heart, Lung, and Blood Institute Twin Study

Nutrients ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 109
Author(s):  
Yecheng Yao ◽  
Sheng-Bo Chen ◽  
Gangqiang Ding ◽  
Jun Dai
Keyword(s):  
Fatty Acids ◽  
Polyunsaturated Fatty Acids ◽  
Twin Study ◽  
Nutrient Intake ◽  
Epidemiological Studies ◽  
Food Composition ◽  
Dietary History ◽  
Blood Institute ◽  
National Heart ◽  
National Heart Lung

The nutrient intake dataset is crucial in epidemiological studies. The latest version of the food composition database includes more types of nutrients than previous ones and can be used to obtain data on nutrient intake that could not be estimated before. Usual food consumption data were collected among 910 twins between 1969 and 1973 through dietary history interviews, and then used to calculate intake of eight types of nutrients (energy intake, carbohydrate, protein, cholesterol, total fat, and saturated, monounsaturated, and polyunsaturated fatty acids) in the National Heart, Lung, and Blood Institute Twin Study. We recalculated intakes using the food composition database updated in 2008. Several different statistical methods were used to evaluate the validity and the reliability of the recalculated intake data. Intra-class correlation coefficients between recalculated and original intake values were above 0.99 for all nutrients. R2 values for regression models were above 0.90 for all nutrients except polyunsaturated fatty acids (R2 = 0.63). In Bland–Altman plots, the percentage of scattering points that outlay the mean plus or minus two standard deviations lines was less than 5% for all nutrients. The arithmetic mean percentage of quintile agreement was 78.5% and that of the extreme quintile disagreement was 0.1% for all nutrients between the two datasets. Recalculated nutrient intake data is in strong agreement with the original one, supporting the reliability of the recalculated data. It is also implied that recalculation is a cost-efficient approach to obtain the intake of nutrients unavailable at baseline.

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