(Circulation. 1997;96:2526-2533.)
© 1997 American Heart Association, Inc.
Articles |
From The Johns Hopkins University (P.O.K.), Baltimore, Md; Maryland Medical Research Institute (B.A.B., R.P.M., L.A.F.), Baltimore, MD; National Heart, Lung, and Blood Institute (E.O., S.H., D.S.-M.), National Institutes of Health, Bethesda, Md; University of Pittsburgh (S.Y.S.K.) (Pa); University of Medicine and Dentistry of New Jersey (N.L.) (Newark); Children's Hospital of New Orleans (A.R.) (La); University of Iowa (R.L., L.S.) (Iowa City); Kaiser-Permanente Center for Health Research (V.S., M.G.) Portland, Ore; Northwestern University (L.V.H.) Chicago, Ill; Children's Hospital of Chicago (S.G.) (Ill); National Cancer Institute (V.V.H.) Rockville, Md; and University of Alabama at Birmingham (F.F.)
| Abstract |
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Methods and Results The effects of dietary intake of fat and cholesterol and of sexual maturation and body mass index (BMI) on LDL-C were examined in a 3-year longitudinal study of 663 boys and girls (age 8 to 10 years at baseline) with elevated LDL-C levels. Multiple linear regression was used to predict LDL-C at 3 years. For boys, LDL-C decreased by 0.018 mmol/L for each 10 mg/4.2 MJ decrease in dietary cholesterol (P<.05). For girls, no single nutrient was significant in the model, but a treatment group effect was evident (P<.05). In both sexes, BMI at 3 years and LDL-C at baseline were significant and positive predictors of LDL-C levels. In boys, the average LDL-C level was 0.603 mmol/L lower at Tanner stage 4+ than at Tanner stage 1 (P<.01). In girls, the average LDL-C level was 0.274 mmol/L lower at Tanner stage 4+ than at Tanner stage 1 (P<.05).
Conclusions In pubertal children, sexual maturation, BMI, dietary intervention (in girls), and dietary cholesterol (in boys) were significant in determining LDL-C. Sexual maturation was the factor associated with the greatest difference in LDL-C. Clinicians screening for dyslipidemia or following dyslipidemic children should be aware of the powerful effects of pubertal change on measurements of lipoproteins.
Key Words: coronary disease pediatrics diet hyperlipoproteinemia lipoproteins
| Introduction |
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Previous studies found significant declines in LDL-C during pubescence. In our initial report,2 LDL-C decreased 0.303 mmol/L (11.7 mg/dL) in the usual care group compared with 0.398 mmol/L (15.4 mg/dL) in the intervention group. Here, we examine in greater detail the relationship between dietary intake of total fat, saturated fat, and cholesterol at 3 years and the observed levels of LDL-C at 3 years of follow-up and change from baseline to 3 years. Other factors, such as initial LDL-C levels, BMI (a measure of adiposity), sex, or sexual maturation may influence the effect of diet on LDL-C. This report presents the analysis of the relationship between LDL-C observed in both the intervention and usual care groups and dietary intake of fat and these other factors.
| Methods |
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Intervention
The goal of the dietary intervention was 28% of energy from
total fat, <8% from saturated fat, up to 9% from polyunsaturated
fat, and <75 mg/4.2 MJ per day of dietary
cholesterol (not to exceed 150 mg/day). The diet
goals met age- and sex-specific recommended dietary allowances (RDAs)
for energy, protein, and micronutrients.
At the first intervention visit, interventionists assessed the current eating pattern and developed a personalized program for each participant.3 4 Interventionists presented six weekly group sessions to the families assigned to the intervention group, followed by five biweekly group sessions augmented by two individual sessions. In the second 6 months, intervention participants attended four group sessions and two individual sessions. During the second and third years, interventionists held group and individual maintenance sessions four to six times each year with monthly telephone contacts between sessions. The content of these sessions is described in more detail elsewhere.5 6
Usual Care
At baseline, we gave all DISC families educational publications
available to the public on heart-healthy eating. We informed parents or
guardians of usual care participants that their children's blood
cholesterol level was elevated but gave no specific
recommendations to see their physician.
Measurements
At baseline, 1 year, and 3 years, we obtained measurements
of fasting serum LDL-C, total cholesterol,
triglycerides, and HDL-C; dietary intake; height; and
weight. Baseline and 3-year lipid values are the average of two
measurements, performed 1 month apart, except for 88 participants for
whom only one 3-year measurement was available. We assessed Tanner
stage annually. Data collectors were blinded to treatment group
assignment.
The Centers for Disease Control and Prevention provided quality control sera and assigned reference values for lipid measurements. The Johns Hopkins Lipoprotein Analytical Laboratory, a participant in the Centers for Disease Control and PreventionNational Heart, Lung, and Blood Institute Lipid Standardization Program,7 served as the central lipid laboratory. We used a modification of the Friedewald equation8 to calculate LDL-C.1 The mean bias in LDL-C measurements (difference between LDL-C values calculated from reference pools and LDL-C values calculated from DISC laboratory measurements) was -0.8%. Coefficients of variation for LDL-C, calculated from the variances of total cholesterol, HDL-C, and triglyceride measurements on unblinded quality control pools, averaged 3.7%. We determined total cholesterol and HDL-C levels using the cholesterol CHOD-PAP method9 (Boehringer-Mannheim Diagnostics). We analyzed triglycerides enzymatically using a commercially available method (Abbot A-Gent Triglycerides Reagent Set).
Trained and certified dietitians collected three nonconsecutive 24-hour dietary recalls within 2 weeks after the clinic measurement visit. The DISC dietary assessment method has been validated10 and described in detail elsewhere.11 The Nutrition Coordinating Center at the University of Minnesota performed nutrient analyses.
We measured height and weight twice at each visit1 and used the average of the two measurements of height and weight to calculate BMI (kg/m2). We assessed maturation by Tanner staging of pubic hair for boys and girls, breast development for girls, and genitalia development for boys.12 The five Tanner stages are 1 (preadolescent), 2 through 4 (pubertal), and 5 (complete sexual maturation). In the current analysis, we summarize maturation stage by the highest of pubic hair or genitalia stage for boys and by the highest of pubic hair or breast stage for girls.
Of the 663 DISC participants, all had baseline LDL-C data, 623 had 3-year LDL-C data, 596 had complete 3-year nutrition data, 574 had 3-year BMI data, and 566 (312 boys and 254 girls) used in these analyses had all of these data as well as 3-year Tanner staging information.
Statistical Analysis
We examined the associations of LDL-C at 3 years
with the independent variables of dietary cholesterol
(mg/4.2 MJ), saturated fat (% energy), and polyunsaturated fat
(% energy) also measured at 3 years. Adjustment variables were
LDL-C at entry (mmol/L) and treatment group. We also
investigated the effects on LDL-C of BMI and Tanner stage at 3 years.
Because the measures of sexual maturation are not completely comparable
between boys and girls, we analyzed the data separately by sex.
Tanner stage at 3 years between the two treatment groups was compared
within sex using Wilcoxon tests.
We analyzed the data using multiple linear regression first for each independent nutrient variable individually (adjusting for LDL-C at entry and treatment group) and then for all nutrients and other independent variables in the model together. We combined the two treatment groups for these analyses because no significant interactions between treatment and dietary intake were found, indicating that the effect of dietary intake on LDL-C did not differ by treatment group.
Regression coefficients were adjusted for random error in dietary measurements. Two sources of random measurement error occur in estimating the usual dietary intake for each participant: (1) within-person variation in actual diet and (2) random variation in the accuracy with which the diet is recalled. Measuring multiple factors with error may either decrease or increase (bias toward or away from zero) the regression coefficient estimates.13 14 15 To estimate within-person and between-person variation in recalled dietary intakes, we used three 24-hour dietary recalls for each participant. We corrected the regression coefficient estimates to account for these two sources of variation.14 We estimated the standard errors of the corrected regression coefficients by a technique of repeated (bootstrap) sampling from the observed data. Each bootstrap sample consisted of 312 (for boys) or 254 (for girls) LDL-C values with corresponding values for the independent variables sampled with replacement from the original data. We repeated the regression procedure 500 times with correction for dietary measurement error for each bootstrap sample. Next, we calculated the standard deviations for the resulting 500 sets of estimated regression coefficients. We used these standard deviations as the estimates of the standard error for the coefficients estimated from the original data. We calculated values for P for each coefficient from the z-statistic obtained by dividing each regression coefficient by the bootstrap estimate of its standard error.
In addition, we used linear regression analyses to assess the effect of 3-year change in dietary intakes on the 3-year change in LDL-C (change score models). These regression models included the same independent variables as above, except that the nutrient intakes and BMI at 3 years were replaced, respectively, with change in nutrient intakes and change in BMI from baseline to 3 years. Similarly, the dependent variable was change in LDL-C from baseline to 3 years rather than LDL-C at 3 years. These analyses did not adjust for random error in dietary measurements because of the complexity of adjusting the standard errors of the regression coefficients for the random error in two sets of dietary recalls.
We combined Tanner stages 4 and 5 in the regression analyses because of the small number of participants at Tanner stage 5. To illustrate the changes from preadolescence through puberty, we used participants at Tanner stage 1 as the reference group for Tanner stages in the regression models.
| Results |
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Figs 1
and 2
show levels of LDL-C at 3 years plotted
against percent of energy from total, saturated, and polyunsaturated
fat and dietary cholesterol (mg/4.2 MJ) for boys and
girls, respectively. Each figure includes linear regression lines to
display trends in mean LDL-C versus each dietary measure and the range
of the relationship between LDL-C and dietary variables. These
figures also include the bivariate Pearson correlation coefficient
without adjustment for measurement error or other covariates.
The correlation coefficients range from 0 for polyun- saturated
fat to +0.15 for dietary cholesterol, both for the usual
care boys. Analyses discussed below investigate these
relationships after adjustment for other factors.
|
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Sexual maturation and BMI are important biological factors that
influence LDL-C levels.16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 Fig 3
presents the mean changes in LDL-C
at 3 years by Tanner stage and sex. LDL-C levels were lower at higher
levels of puberty. By Tanner stage 4, the mean LDL-C levels were lower
by >0.517 mmol/L (20 mg/dL) in boys and by
>0.388 mmol/L (15 mg/dL) in girls.
|
Fig 4
presents LDL-C at 3 years
in relation to BMI at 3 years. The Pearson correlation coefficients
range from.13 for intervention boys and girls to.25 for usual care
girls. Analyses discussed below investigate these relationships
after adjustment for other factors.
|
Table 3
presents results from
separate linear regression analyses adjusted for measurement
error to examine the dose-response relationship between 3-year levels
of LDL-C and individual dietary factors, BMI, and Tanner stage. These
models were adjusted for LDL-C at study entry and treatment group. We
found no significant relationships between nutrients and LDL-C in
girls. In boys, higher dietary cholesterol was associated
with higher LDL-C (P<.01). Higher BMI was significantly
related to higher LDL-C in both boys and girls. Tanner stage 4+ was
significantly related to lower LDL-C in boys, and the trend was in the
same direction in girls.
|
Table 4
presents results from
multivariable regression models predicting LDL-C at 3 years from
dietary cholesterol, percent of energy from saturated fat
and polyunsaturated fat, treatment group, BMI, and Tanner stage at 3
years and from LDL-C at entry. In boys, LDL-C decreased by 0.018
mmol/L (0.7 mg/dL) for each 10 mg/4.2 MJ decrease
in dietary cholesterol (P<.05). In girls, no
nutrient was significant in the multivariable model. On average,
participants assigned to the intervention group had lower LDL-C than
the usual care group (0.129±0.054 mmol/L [5.0±2.1
mg/dL] lower in girls, 0.070±0.062 mmol/L
[2.7±2.4 mg/dL] lower in boys). The difference between
treatment groups after adjustment for the effect of dietary intake and
biological variables was significant only in girls.
|
For both boys and girls, as Tanner stage increased, LDL-C decreased. The effect was larger in boys; on average, LDL-C was 0.603 mmol/L (23.3 mg/dL) lower among boys at Tanner stage 4+ than at Tanner stage 1, and among girls, LDL-C was 0.274 mmol/L (10.6 mg/dL) lower. Although the differences in LDL-C between girls at Tanner stage 1 and all later stages were not statistically significant, overall there was evidence of differences among Tanner stages (P<.05) with a significant difference between stages 4+ and 1.
BMI was a significant predictor of LDL-C at 3 years in both sexes, with an increase of 0.016 mmol/L (0.6 mg/dL) for an increase of 1.0 unit in BMI in boys and 0.028 mmol/L (1.1 mg/dL) for an increase in 1.0 unit in girls.
We found similar results using the change score models. As with the previous models, which adjust for error in dietary measurement, the boys showed a significant effect on LDL-C change from change in dietary cholesterol, baseline LDL-C, change in BMI, and Tanner stages 3 and 4. Girls showed a significant effect on LDL-C change from treatment group, baseline LDL-C, change in BMI, and Tanner stage 4.
To investigate the effect of other measures of adiposity on LDL-C, we also used the sum of three skinfolds (triceps, subscapular, and suprailiac skinfolds) as well as subscapular skinfold separately in the same change score models. The results were the same as with BMI.
| Discussion |
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In DISC, both the intervention and usual care groups had significant drops in their LDL-C levels, with the boys manifesting a greater drop than the girls. Other investigators have observed significant changes in lipids and lipoproteins during adolescence. Some studies16 17 18 19 reported significant decreases in plasma total cholesterol in adolescent boys but little change in adolescent girls. Others20 21 22 found that girls as well as boys had decreases in plasma total cholesterol during adolescence. These different results may be explained in part by sex differences in lipoprotein fractions. Adolescent boys and girls both appear to have a decrease in LDL-C, whereas boys also have a decrease in HDL-C, which has not been found in girls.16 19 21 23 24 25 26 27
In agreement with others,26 28 29 30 we found that BMI was significantly and positively related to LDL-C levels. Adiposity may also significantly influence the effect of hormones on plasma lipids and lipoproteins during adolescence31 (see below).
After adjustment for baseline LDL-C level and treatment group, we found significant positive effects of dietary cholesterol on LDL-C in boys when we considered dietary factors separately. When dietary factors were analyzed together with BMI and Tanner stage, lower intakes of dietary cholesterol again predicted lower LDL-C levels. In girls, we did not observe any significant effects of dietary nutrients, in either univariate or multivariate analyses, and the signs of the coefficients were opposite to the expected direction. The reasons for this discrepancy between boys and girls are not clear but may be related to differences in hormones, reporting dietary intakes, or lower dietary adherence in the girls.32 The latter explanation is less likely because the adjusted differences in LDL-C between the intervention and usual care groups were greater in girls than in the boys. There may be an interaction of dietary nutrients and error in dietary reporting that is more accentuated in girls than in boys. In the North Karelia Youth study in 13- to 15-year-old Finnish schoolchildren,33 the girls reported greater dietary adherence than the boys.
Treatment group assignment had a significant effect on LDL-C levels in girls even when controlling for dietary factors, indicating that the DISC girls in the intervention group had significantly lower levels of LDL-C after 3 years of dietary intervention than the usual care girls. In the boys, the treatment group effect was in the expected direction although not statistically significant. The remaining effect of treatment group while adjusting for diet suggests an intervention effect not detected by the self-reported dietary measurement.
We found that sexual maturation, as judged by Tanner stage, had the most significant influence on LDL-C, with lower LDL-C associated with more advanced sexual maturation. A number of other studies23 26 28 29 also reported significant effects of sexual maturation on plasma lipid and lipoprotein levels during adolescence. For example, Berenson and coworkers23 examined the relationship between Tanner stage and plasma lipid and lipoprotein levels of 4074 children aged 5 to 17 years in Bogalusa, La. In white boys, the mean LDL-C decreased from 2.121 mmol/L (82 mg/dL) at Tanner stage 1 to 1.914 mmol/L (74 mg/dL) at Tanner stage 4 but then increased to 2.043 mmol/L (79 mg/dL) at the most advanced Tanner stage. A similar pattern was seen in white girls, with LDL-C decreasing from 2.250 mmol/L (87 mg/dL) to 1.991 mmol/L (77 mg/dL) at Tanner stage 4 but then increasing to 2.198 mmol/L (85 mg/dL) at the most mature stage.
The magnitude of the effect of sexual maturation was notably
larger in boys than in girls (Table 4
).
Such a marked sex differences may be related to disparate hormonal
patterns that emerge during adolescence. Using the hormone data of
Bidlingmaier and Knorr, Berenson and coworkers23 found a
correlation between lipid changes and increasing testosterone and
estrone in boys, and increasing estrone in the girls. Laskarzewski and
coworkers31 found that there was a complex interaction
between plasma LDL-C and HDL-C levels, BMI, and endogenous
testosterone and estradiol levels in adolescent boys. For example, in
boys with high estradiol levels, there was a negative and curvilinear
relationship between levels of LDL-C and testosterone. For boys with
low estradiol, there was an opposite, positive curvilinear relationship
between levels of LDL-C and testosterone. The magnitude of these
relationships was the greatest in those with the lowest BMI and the
least in those with the highest BMI.
Because children in DISC had elevated LDL-C at entry, regression to the mean may account for some of the decrease in LDL-C at 3 years.34 However, this phenomenon would not account for the differences in LDL-C observed across Tanner stage or the multivariate associations with LDL-C. Assessment of dietary intake was obtained by self-report, in which DISC nutritionists collected three 24-hour recalls for each participant at each visit. Although adequate for group descriptions and comparisons, three recalls may not provide the precision required for linear regression analyses.
In summary, the decline in the LDL-C levels seen in the DISC cohort was due to sexual maturation, BMI, dietary intervention (in girls), and dietary cholesterol (in boys). Although the intervention that was used in this study significantly lowered LDL-C when the intervention group was compared with the control group, it was difficult to demonstrate directly that this was due to reported changes in dietary fat and cholesterol intake. Sexual maturation, particularly in boys, was the strongest and most significant factor associated with the decline in LDL-C over 3 years. Clinicians screening for dyslipidemia or following dyslipidemic children should be aware of the powerful effects of pubertal change on measurements of lipoproteins.
| Selected Abbreviations and Acronyms |
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| Acknowledgments |
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| Footnotes |
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Received October 1, 1996; revision received May 1, 1997; accepted May 15, 1997.
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E. Obarzanek, S. Y. S. Kimm, B. A. Barton, L. Van Horn, P. O. Kwiterovich Jr, D. G. Simons-Morton, S. A. Hunsberger, N. L. Lasser, A. M. Robson, F. A. Franklin Jr, et al. Long-Term Safety and Efficacy of a Cholesterol-Lowering Diet in Children With Elevated Low-Density Lipoprotein Cholesterol: Seven-Year Results of the Dietary Intervention Study in Children (DISC) Pediatrics, February 1, 2001; 107(2): 256 - 264. [Abstract] [Full Text] |
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S. Q. Ye and P. O Kwiterovich Jr Influence of genetic polymorphisms on responsiveness to dietary fat and cholesterol Am. J. Clinical Nutrition, November 1, 2000; 72 (5): 1275S - 1284S. [Abstract] [Full Text] [PDF] |
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R. M Lauer, E. Obarzanek, S. A Hunsberger, L. Van Horn, V. W Hartmuller, B. A Barton, V. J Stevens, P. O Kwiterovich Jr, F. A Franklin Jr, S. Y. Kimm, et al. Efficacy and safety of lowering dietary intake of total fat, saturated fat, and cholesterol in children with elevated LDL cholesterol: the Dietary Intervention Study in Children Am. J. Clinical Nutrition, November 1, 2000; 72 (5): 1332S - 1342S. [Abstract] [Full Text] [PDF] |
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