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

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.

Nutrients ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 109
Author(s):  
Yecheng Yao ◽  
Sheng-Bo Chen ◽  
Gangqiang Ding ◽  
Jun Dai

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.


1990 ◽  
Vol 47 (3) ◽  
pp. 259-262 ◽  
Author(s):  
G. E. Swan ◽  
D. Carmelli ◽  
T. Reed ◽  
G. A. Harshfield ◽  
R. R. Fabsitz ◽  
...  

2003 ◽  
Vol 65 (3) ◽  
pp. 490-497 ◽  
Author(s):  
Jeanne M. McCaffery ◽  
Raymond Niaura ◽  
John F. Todaro ◽  
Gary E. Swan ◽  
Dorit Carmelli

1989 ◽  
Vol 10 (suppl G) ◽  
pp. 36-41 ◽  
Author(s):  
M.G. Bourassa ◽  
J. W. Wilson ◽  
K. M. Detre ◽  
S. F. Kelsey ◽  
T. Robertson ◽  
...  

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