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.

scholarly journals Midlife moderation-quantified healthy diet and 40-year mortality risk from CHD: the prospective National Heart, Lung, and Blood Institute Twin Study

2016 ◽  
Vol 116 (2) ◽  
pp. 326-334 ◽  
Author(s):  
Jun Dai ◽  
Ruth E. Krasnow ◽  
Terry Reed
Keyword(s):  
Mortality Risk ◽  
Twin Study ◽  
Healthy Diet ◽  
Familial Predisposition ◽  
Dietary History ◽  
Blood Institute ◽  
National Heart ◽  
National Heart Lung ◽  
Chd Risk Factors

AbstractIt is unknown whether influences of midlife whole diet on the long-term CHD mortality risk are independent of genetic and common environmental factors or familial predisposition. We addressed this question prospectively using data from the National Heart, Lung, and Blood Institute Twin Study. We included 910 male twins who were middle-aged and had usual diet assessed with nutritionist-administered, cross-checked dietary history interview at baseline (1969–1973). Moderation-quantified healthy diet (MQHD), a dietary pattern, was created to evaluate a whole diet. Primary outcome was time-to-CHD death. Hazard ratios (HR) were estimated using frailty survival model. Known CHD risk factors were controlled. During the follow-up of 40 years through 31 December 2009, 113 CHD deaths, 198 total cardiovascular deaths and 610 all-cause deaths occurred. In the entire cohort, the multivariable-adjusted HR for the overall association (equivalent to a general population association) was 0·76 (95 % CI 0·66, 0·88) per 10-unit increment in the MQHD score for CHD, and the multivariable-adjusted HR for a twin with a MQHD score ten units higher than his co-twin brother was 0·79 (95 % CI 0·64, 0·96, P=0·02) for CHD independent of familial predisposition. Similar results were found for a slightly more food-specified alternative moderation-quantified healthy diet (aMQHD). The between-pair association (reflecting familial influence) was significant for CHD for both MQHD and aMQHD. It is concluded that associations of MQHD and aMQHD with a lower long-term CHD mortality risk are both nutritionally and familially affected, supporting their use for dietary planning to prevent CHD mortality.

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

Plasma cholesterol variation in the national heart, lung and blood institute twin study

1987 ◽  
Vol 4 (6) ◽  
pp. 433-446 ◽  
Author(s):  
Joe C. Christian ◽  
N. O. Borhani ◽  
W. P. Castelli ◽  
R. Fabsitz ◽  
J. A. Norton ◽  
...  
Keyword(s):  
Twin Study ◽  
Plasma Cholesterol ◽  
Blood Institute ◽  
National Heart ◽  
National Heart Lung

scholarly journals Erythrocyte Fatty Acid Composition and the Metabolic Syndrome: A National Heart, Lung, and Blood Institute GOLDN Study

2008 ◽  
Vol 54 (1) ◽  
pp. 154-162 ◽  
Author(s):  
Edmond K Kabagambe ◽  
Michael Y Tsai ◽  
Paul N Hopkins ◽  
Jose M Ordovas ◽  
James M Peacock ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Fatty Acids ◽  
Fatty Acid ◽  
Saturated Fatty Acids ◽  
Lipid Lowering ◽  
Odds Ratios ◽  
Blood Institute ◽  
The Metabolic Syndrome ◽  
National Heart ◽  
National Heart Lung

Abstract Background: Different fatty acids may vary in their effect on the metabolic syndrome (MetS). We tested whether fatty acid classes measured in erythrocytes are associated with the MetS or its components. Methods: Included were men [n = 497; mean (SD) age, 49 (16) years] and women [n = 539; age, 48 (16) years] from 187 families in a National Heart, Lung, and Blood Institute (NHLBI) family study of the Genetics of Lipid-Lowering Drugs and Diet Network (GOLDN) conducted in Utah and Minnesota. We used gas chromatography to measure erythrocyte fatty acids and obtained data on potential confounding variables from interviewer-administered questionnaires. Results: The prevalence of the MetS as defined by the updated Adult Treatment Panel III criteria was 36.8% in Utah and 39.6% in Minnesota (P >0.05). In a multivariate model that included 4 fatty acid classes, covariates, and pedigree as a random effect, the odds ratios (95% confidence interval) for the MetS in the 1st, 2nd, 3rd, and 4th quartile of polyunsaturated fatty acids were 1.00, 0.72 (0.47–1.10), 0.67 (0.43–1.05), and 0.39 (0.24–0.64), respectively (P for trend = 0.0002). For the corresponding quartiles of saturated fatty acids, the odds ratios were 1.00, 1.19 (0.77–1.84), 1.48 (0.94–2.34), and 1.63 (1.01–2.63), respectively (P for trend = 0.03). Unlike n6 fatty acids, which showed an inverse association (P <0.05) with MetS, n3, trans, and monounsaturated fatty acids were not associated with the MetS (P >0.05). We observed significant correlations (P <0.05) between fatty acid classes, insulin, and components of the MetS. Conclusions: Polyunsaturated fats are inversely associated with the MetS, whereas saturated fatty acids are positively associated with the MetS, probably through their effect on lipids, adiposity, insulin, and blood pressure.

scholarly journals Association of dietary omega-3 fatty acids with prevalence of metabolic syndrome: The National Heart, Lung, and Blood Institute Family Heart Study

2013 ◽  
Vol 32 (6) ◽  
pp. 966-969 ◽  
Author(s):  
Y.H. Lana Lai ◽  
Andrew B. Petrone ◽  
James S. Pankow ◽  
Donna K. Arnett ◽  
Kari E. North ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Fatty Acids ◽  
Omega 3 Fatty Acids ◽  
Omega 3 ◽  
Blood Institute ◽  
Family Heart Study ◽  
National Heart ◽  
Heart Study ◽  
National Heart Lung
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