Importance
Epidemiologic studies have suggested that higher intake of added sugar is associated with cardiovascular disease (CVD) risk factors. Few prospective studies have examined the association of added sugar intake with CVD mortality.
Objective
To examine time trends of added sugar consumption as percentage of daily calories in the United States and investigate the association of this consumption with CVD mortality.
Design, Setting, and Participants
National Health and Nutrition Examination Survey (NHANES, 1988-1994 [III], 1999-2004, and 2005-2010 [n = 31 147]) for the time trend analysis and NHANES III Linked Mortality cohort (1988-2006 [n = 11 733]), a prospective cohort of a nationally representative sample of US adults for the association study.
Main Outcomes and Measures
Cardiovascular disease mortality.
Results
Among US adults, the adjusted mean percentage of daily calories from added sugar increased from 15.7% (95% CI, 15.0%-16.4%) in 1988-1994 to 16.8% (16.0%-17.7%; P = .02) in 1999-2004 and decreased to 14.9% (14.2%-15.5%; P < .001) in 2005-2010. Most adults consumed 10% or more of calories from added sugar (71.4%) and approximately 10% consumed 25% or more in 2005-2010. During a median follow-up period of 14.6 years, we documented 831 CVD deaths during 163 039 person-years. Age-, sex-, and race/ethnicity–adjusted hazard ratios (HRs) of CVD mortality across quintiles of the percentage of daily calories consumed from added sugar were 1.00 (reference), 1.09 (95% CI, 1.05-1.13), 1.23 (1.12-1.34), 1.49 (1.24-1.78), and 2.43 (1.63-3.62; P < .001), respectively. After additional adjustment for sociodemographic, behavioral, and clinical characteristics, HRs were 1.00 (reference), 1.07 (1.02-1.12), 1.18 (1.06-1.31), 1.38 (1.11-1.70), and 2.03 (1.26-3.27; P = .004), respectively. Adjusted HRs were 1.30 (95% CI, 1.09-1.55) and 2.75 (1.40-5.42; P = .004), respectively, comparing participants who consumed 10.0% to 24.9% or 25.0% or more calories from added sugar with those who consumed less than 10.0% of calories from added sugar. These findings were largely consistent across age group, sex, race/ethnicity (except among non-Hispanic blacks), educational attainment, physical activity, health eating index, and body mass index.
Conclusions and Relevance
Most US adults consume more added sugar than is recommended for a healthy diet. We observed a significant relationship between added sugar consumption and increased risk for CVD mortality.
Consumption of added sugar, including all sugars added in processing or preparing foods, among Americans aged 2 years or older increased from an average of 235 calories per day in 1977-1978 to 318 calories per day in 1994-1996. This change was mainly attributed to the increased consumption of sugar-sweetened beverages.1 Although the absolute and percentage of daily calories derived from added sugars declined between 1999-2000 and 2007-2008, consumption of added sugars remained high in US diets, especially among children.2 Recommendations for added sugar consumption vary substantially. The Institute of Medicine recommends that added sugar make up less than 25% of total calories,3 whereas the World Health Organization recommends less than 10%.4 The American Heart Association recommends limiting added sugars to less than 100 calories daily for women and 150 calories daily for men.5 The 2010 Dietary Guidelines for Americans6 recommend limiting total intake of discretionary calories, which include added sugars and solid fats, to 5% to 15% of daily caloric intake. Randomized clinical trials and epidemiologic studies have shown that individuals who consume higher amounts of added sugar, especially sugar-sweetened beverages, tend to gain more weight7 and have a higher risk of obesity,2,8-13 type 2 diabetes mellitus,8,14-17 dyslipidemias,18,19 hypertension,20,21 and cardiovascular disease (CVD).14,22 Most previous studies have focused on sugar-sweetened beverages but not total added sugar, and none of these studies has used nationally representative samples to examine the relationship between added sugar intake and CVD mortality.
In the present study, we examined time trends of consumption of added sugar as percentage of total daily calories using a series of national representative samples. In addition, we investigated the association of this consumption with CVD mortality using a prospective cohort of a nationally representative sample of US adults.
National Health and Nutrition Examination Survey
The National Health and Nutrition Examination Survey (NHANES) comprises a series of cross-sectional, stratified, multistage probability surveys of the civilian, noninstitutionalized US population. The NHANES was conducted periodically before 1994; beginning in 1999, it became a continuous program, with every 2 years representing 1 cycle. Each survey participant completed a household interview and underwent a physical examination at a mobile examination center. Detailed descriptions of NHANES methods are published elsewhere.23,24NHANES III and NHANES 1999-2010 underwent institutional review board approval and included written informed consent.
The present study comprised 2 components: a trends analysis of added sugar consumption and an association study of this consumption with CVD mortality. For the trend analysis, we used data from NHANES III (1988-1994) and from the continuous NHANES surveys (1999-2004 and 2005-2010). For NHANES III, of 16 274 nonpregnant adults aged 20 years or older, we excluded 588 participants with incomplete data on first-day 24-hour dietary recall; 1321 who reported a history of myocardial infarction, stroke, or congestive heart failure; 996 who had diagnosed diabetes mellitus or were taking diabetes medications; and 452 who had cancer at baseline. We also excluded 279 participants with a body mass index (BMI) less than 18.5 (calculated as weight in kilograms divided by height in meters squared) and 905 with missing values on covariates, leaving 11 733 adults for analysis. For NHANES 1999-2004, we started with 13 422 nonpregnant adults and excluded the following numbers of participants for the same reasons described for the 1988-1994 data: 740, 1560, 931, 757, 352, and 296, respectively, leaving 8786 participants for study. For NHANES 2005-2010, we started with 16 089 nonpregnant adults and excluded 826, 1733, 1358, 952, 265, and 327 individuals, respectively, leaving a study population of 10 628.
NHANES III Linked Mortality Files (1988-2006)
For the association analysis between the added sugar and the risk of CVD mortality, we used NHANES III (1988-1994) Linked Mortality Files (n = 11 733) that were linked through 2006 with a probabilistic matching algorithm to the National Death Index to determine the mortality status. Follow-up of participants continued until death attributable to CVD, with censoring at the time of death for those who died from causes other than CVD. Participants not matched with a death record were considered to be alive through the entire follow-up period. A detailed description of this methodology has been published elsewhere.25,26 The International Statistical Classification of Diseases, 10th Revision was used to identify participants for whom CVD (codes I00-I78) was listed as the underlying cause of death.
Estimating Usual Percentage of Calories From Added Sugar
Added sugars include all sugars used in processed or prepared foods, such as sugar-sweetened beverages, grain-based desserts, fruit drinks, dairy desserts, candy, ready-to-eat cereals, and yeast breads, but not naturally occurring sugar, such as in fruits and fruit juices. We used 24-hour dietary recall to estimate intake of added sugar. All NHANES participants who received physical examinations provided a single 24-hour dietary recall through in-person interviews.27 Availability of second dietary recall varied by time period. In NHANES III, approximately 8% of the adult participants provided a second dietary recall; from 1999 to 2002, second recalls were not available. In 2003-2004 and 2005-2010, 93% and 88% of participants participated in second dietary surveys through the telephone interviews 3 to 10 days after mobile examination center interviews.
Nutrient intake from foods was estimated with the corresponding US Department of Agriculture Food and Nutrient Databases for Dietary Studies (FNDDSs).28 However, FNDDSs do not include information on added sugar for many foods. To estimate the intake of added sugar, we merged individual food files from NHANES with the MyPyramid Equivalents Database (MPED).29 The MPED has 2 versions; we merged the NHANES III and NHANES 1999-2002 individual foods files with MPED 1.0 and NHANES 2003-2004 and 2005-2010 food files with MPED 2.0 to calculate intake of added sugars.29,30 Of 5440 unique US Department of Agriculture food codes (8-digit codes) in NHANES 2005-2010, 5030 of these foods were available from MPED 2.0. We matched the remaining 410 foods to the nearest food codes (most of the matched food codes differed by the last 2 digits) to estimate added sugar content. For example, the food code 52302020 (muffin, fruit and/or nut, low fat) was matched to 52302010 (muffin, fruit and/or nut). A detailed description of the MPED and estimates of added sugar from foods are published elsewhere.29
Data from single 24-hour dietary recalls are subject to measurement errors caused by day-to-day variation in intakes,31,32 which tends to attenuate the association.33 To correct for measurement errors, we used a method developed by the National Cancer Institute (NCI) that can be used to estimate the distribution of the usual percentage of calories from added sugar in the population.34 This method also can be used to examine the nutrient-disease association corrected for measurement error, also known as the regression calibration.35 The NCI method requires that at least some respondents have multiple days of nutrient values to estimate the within- and between-individual variations.34,36 For the trend analysis, the models included the following covariates: day of the week when 24-hour recall was collected (weekday vs weekends), age, sex, and race/ethnicity.36 For the association analysis, we also included educational attainment, smoking status, alcohol consumption, antihypertensive medication use, physical activity, family history of CVD, and 1995 Healthy Eating Index (HEI) scores.36,37
The covariates included race/ethnicity (non-Hispanic white, non-Hispanic black, Mexican American, or other), educational attainment (<12, 12, or >12 years of education), smoking status (never, former, or current), alcohol consumption (0, <3, or ≥3 drinks/wk), physical activity (0, <5, or ≥5 times/wk of moderate-intensity to vigorous activities), BMI (<25, 25 to <30, or ≥30), family history of CVD (yes/no), and antihypertensive medication use (yes/no). Systolic blood pressure and total serum cholesterol (milligrams per deciliter) were included as continuous variables. The HEI includes 10 components: fruits, vegetables, grains, dairy, meats, fats, saturated fat, cholesterol, sodium, and dietary variety. The total score ranges from 0 to 100, with a higher score indicating a healthier diet.37
We calculated the weighted mean and 95% CI of the usual percentage of calories from added sugar across categories of selected covariates for NHANES III (1988-1994), 1999-2004, and 2005-2010. We also estimated the percentage of the population who consumed 10% or more4 or 25% or more3 of calories from added sugar. We conducted the pairwise 2-tailed t tests to identify the difference in means and prevalence across surveys.
We used Cox proportional hazards regression to estimate the hazard ratios (HRs) and 95% CIs for CVD mortality. Because the observed association between percentage of calories from added sugar and CVD mortality appeared to be nonlinear (P < .05 for linearity), we used the Box-Cox transformation, with λ = 2.5 when estimating the usual percentage of calories from added sugar using the NCI method.35 To present the results, we calculated the 10th, 30th, 50th, 70th, and 90th percentiles’ distribution of the estimated added sugar intake as the middle value of each quintile. We estimated the adjusted HRs by comparing the middle values of each quintile (Q) with the lowest quintile as reference (Q5, Q4, Q3, and Q2 vs Q1).35,38 To examine the association between added sugar intake and CVD mortality by different cut points, ie, less than 10% by the World Health Organization (in line with the American Heart Association’s recommendation)4,5 and less than 25% by the Institute of Medicine,3 we estimated the adjusted HRs by comparing participants who consumed 25% or more, more than 10%, and less than 25% of their calories from added sugar with those who consumed less than 10% of their calories from added sugar. We estimated age-, sex-, and race/ethnicity–adjusted HRs as well as the multivariable-adjusted HRs including age, sex, race/ethnicity, educational attainment, smoking status, alcohol consumption, antihypertensive medication use, physical activity level, family history of CVD, HEI score, BMI, systolic blood pressure, total serum cholesterol, and total calories. We also determined the results of stratified analysis by age group (<60 years vs ≥60 years), sex, race/ethnicity, educational attainment (<12 vs ≥12 years), physical activity (≥5 times/wk of moderate-intensity vs vigorous activities vs others), HEI score (top 50% [score ≥63.5] vs other), and BMI (normal vs overweight/obese). We calculated the covariates-adjusted number needed to harm associated with each quintile of added sugar intake at 15-years of follow-up (15 years represents the median follow-up),39 and the 95% CI of the number needed to harm was based on 2.5th and 97.5th percentile values of 500 rescaled bootstrap weights.40,41
The proportional hazards assumption of the Cox models was evaluated with Schoenfeld residuals, which revealed no significant departures from proportionality in hazards over time. We tested for interactions of the usual percentage of calories from added sugar with covariates by including the interaction terms in the Cox models based on Satterthwaite-adjusted F tests.42,43
We conducted several sensitivity analyses (Supplement [eAppendix and eTables 1-7]). All analyses were conducted with SAS, version 9.3 (SAS Institute, Inc) or SUDAAN, version 11, to take into account the complex sampling design.43 All tests were 2-sided, and P < .05 was considered statistically significant.
Of participants included in the study from the NHANES III (1988-1994) (n = 11 733), NHANES 1999-2004 (n = 8786), and NHANES 2005-2010 (n = 10 628), the proportion of non-Hispanic whites decreased from 76.3% in 1988-1994 to 69.6% in 2005-2010 (P = .004) and the Mexican American proportion increased from 5.1% to 9.0% in 2005-2010 (P < .001). The mean percentage of calories from added sugar increased from 15.7% (95% CI, 15.0%-16.4%) in 1988-1994 to 16.8% (16.0%-17.7%; P < .02) in 1999-2004 and decreased to 14.9% (14.2%-15.5%; P < .001) in 2005-2010 (Table 1). Most adults consumed 10% or more of calories from added sugar (71.4%), and approximately 10% consumed 25% or more of calories from added sugar in 2005-2010. Intake was higher among individuals younger than 60 years, non-Hispanic blacks, and never smokers (Table 1).
Among the 11 733 participants who met the eligibility criteria for mortality analysis in NHANES III (1988-2006), 831 CVD deaths during 163 039 person-years of follow-up (median follow-up, 14.6 years) were documented. After multivariable adjustment, compared with the lowest quintile, HRs were 1.07 (95% CI, 1.02-1.12), 1.18 (1.06-1.31), 1.38 (1.11-1.70), and 2.03 (1.26-3.27) (P = .004) (Table 2). The adjusted HRs were 1.30 (1.09-1.55) and 2.75 (1.40-5.42) comparing participants who consumed 10% to 24.9% or 25% or more of calories from added sugar with those who consumed less than of 10% of calories from added sugar (Table 3). The risk of CVD mortality increased exponentially with increasing usual percentage of calories from added sugar (Figure 1) (P = .004). The number needed to harm at 15 years of follow-up (median follow-up) reduced from 265 (95% CI, 166-715) to 22 (13-66) (Table 2).
The observed association between usual percentage of calories from added sugar and increased risk of CVD mortality was largely consistent across age group, sex, race/ethnicity (except among non-Hispanic blacks), educational attainment, physical activity level, HEI score, and BMI (Figure 2 and Supplement [eTable 1 and eFigure]). However, we observed a marginally significant interaction between percentage of calories from added sugar and race/ethnicity (P = .09), and the pattern of this association was observed in other groups but not among non-Hispanic blacks (Supplement [eTable 1]). Compared with the participants who consumed less than 10% of calories from added sugar (same as in Q1), those who consumed above the thresholds of 10% or 25% of calories from added sugar were younger; more likely to be non-Hispanic black; less likely to be currently smoking; had lower levels of physical activity, total serum cholesterol, systolic blood pressure, HEI, American Heart Association healthy diet score,44 and antihypertensive medication use; and had higher intake of sugar-sweetened beverages and prevalence of family history of CVD (Supplement [eTable 2]). Participants who consumed added sugar exceeding the recommendations, especially 25% or more of calories from added sugar, had a higher percentage of calories from the sugar/sweets/beverage group and a lower percentage of calories from all other food groups except milk products (Supplement [eTable 2]).
As expected, the association using only a single-day 24-hour recall was attenuated but remained significant (Supplement [eTable 3]). In the analysis including all NHANES III participants with nonmissing covariates (n = 14 338), the association was moderately attenuated (Supplement [eTable 4]). In the fully adjusted model, the HR for total mortality was 1.28 (95% CI, 0.94-1.75) in the highest quintile (Supplement [eTable 5]). Detailed analysis between added sugar intake and each component of the HEI suggested that added sugar intake was moderately and negatively correlated with total grain, vegetable, meat, and variety components (r = −0.06, −0.20, −0.12, and −0.19, respectively; P < .05) and moderately and positively correlated with total fat and cholesterol intake (r = 0.17 and 0.08; P < .05). However, HRs remained largely unchanged after adjusting each component of the HEI (Supplement [eTable 6]). We observed a significant association between sugar-sweetened beverage consumption and risk of CVD mortality, with an adjusted HR of 1.29 (95% CI, 1.04-1.60) when comparing participants who consumed 7 or more servings/wk (360 mL per serving) with those who consumed 1 serving/wk or less (Supplement [eTable 7]).
Our results suggest that the usual percentage of calories from added sugar among US adults increased from the late 1980s to 1999-2004 and decreased during 2005-2010. Most adults consumed more than 10% of their total calories from added sugar, and approximately 10% of adults consumed 25% or more of calories from added sugar in 2005-2010. Compared with those who consumed approximately 8.0% of calories from added sugar, participants who consumed approximately 17% to 21% (Q4) of calories from added sugar had a 38% higher risk of CVD mortality. This relative risk was more than double for those who consumed 21% or more (highest quintile) of calories from added sugar.
Major sources of added sugar in American adults’ diet included sugar-sweetened beverages (37.1%), grain-based desserts (13.7%), fruit drinks (8.9%), dairy desserts (6.1%), and candy (5.8%).45 One 360-mL can of regular soda contains about 35 g of sugar (140 calories) or 7% of total calories (based on 2000 kcal/d). There is no universally accepted guideline for added sugar consumption. The Institute of Medicine recommended no more than 25% calories from added sugar based on the NHANES III study of increased consumption of added sugar and reduced intake of macronutrients, especially at the level of more than 25%.3 However, this recommendation did not consider health effects. The World Health Organization recommended less than 10% of calories from added sugar based on its assessment of higher consumption and adverse health outcomes.4 With the evidence of higher added sugar consumption and adverse health outcomes accumulating, the American Heart Association recommended that total calories from added sugar should be less than 100 calories/d for most women and less than 150 calories/d for most men.5 Our analysis suggests that participants who consumed greater than or equal to 10% but less than 25% of calories from added sugar, the level below the Institute of Medicine recommendation and above the World Health Organization/American Heart Association recommendation, had a 30% higher risk of CVD mortality; for those who consumed 25% or more of calories from added sugar, the relative risk was nearly tripled (fully adjusted HR, 2.75).
In our analysis, regular consumption of sugar-sweetened beverages (≥7 servings/wk) was associated with increased risk of CVD mortality. Several observational studies22,46 have suggested that higher intake of sugar-sweetened beverages is significantly associated with increased incidence of CVD, independent of other risk factors. In the present study, the positive association between added sugar intake and CVD mortality remained significant after adjusting for the conventional CVD risk factors, such as blood pressure and total serum cholesterol. The association might be mediated through additional biological pathways, although a single measure of these risk factors may not have captured the mediational effects. In addition, the observed association was consistent across age group, sex, race/ethnicity (except among non-Hispanic blacks), educational attainment, physical activity levels, HEI score, and BMI.
Epidemiologic studies5,47 have suggested that higher consumption of added sugar is associated with increased consumption of total calories and unhealthy dietary patterns, which in turn might increase the risk of unhealthy outcomes, such as weight gain, type 2 diabetes mellitus, and CVD. Thus, added sugar intake may be a marker for unhealthy dietary patterns. However, when we adjusted for overall diet quality as reflected by HEI and its individual components, the results did not change appreciably, suggesting that the association between added sugar intake and CVD mortality was not explained by overall diet quality.
The biological mechanisms underlying the association between added sugar intake and CVD risk are not completely understood. Emerging evidence supports the hypothesis that excessive intake of added sugar might play a role through multiple pathways.14 Animal studies48 have suggested that high intake of refined sugars, independent of weight gain, was associated with the development of hypertension. A recent observational study20 suggested that excessive consumption of sugar-sweetened beverages and sugar was independently associated with increased blood pressure. Excessive intake of sugar was also associated with increased de novo lipogenesis in the liver, hepatic triglyceride synthesis, and increased triglyceride levels, a known risk factor for CVD.5,49 In one study,18 regular intake of added sugar was significantly associated with increased triglyceride levels and low-density lipoprotein cholesterol levels and decreased high-density lipoprotein cholesterol levels. Another proposed pathway of the relationship between excessive sugar intake and increased CVD risk is its association with inflammation markers, which are key factors in the pathogenesis of CVD.14,50,51 Several recent studies52,53 have indicated an association between higher consumption of sugar-sweetened beverages and inflammatory markers. In addition, a recent study12 suggested a significant interaction between genetic factors and sugar-sweetened beverage consumption in relation to BMI, in which higher consumption was associated with increased genetic effects of obesity. Another study54 suggested that carrying a genetic variant in the PNPLA3 gene might be susceptible to increased hepatic fat, which is associated with increased risk for CVD, when dietary sugar intake was high among Hispanic children. Further studies are needed to examine potential interactions between genetic susceptibility and added sugar intake in relation to CVD risk.
Our study has several strengths. First, the availability of data on added sugar intake from a series of nationally representative samples of US adults allowed us to examine trends of consumption. Second, we used a validated method to estimate the usual percentage of calories from added sugar. The use of the NCI method to estimate usual nutrient intake provided a more powerful way to assess nutrient-disease associations compared with the use of a single 24-hour dietary recall.34-36,38 Finally, our study adjusted for a wide range of potential confounding variables.
There are also several limitations to our study. First, in NHANES III (1988-1994), approximately 8% (n = 962) of the participants provided a second-day 24-hour dietary recall. However, these data were adequate to provide a robust estimate of usual intake of added sugar.31,34 For later NHANES years, more than 88% of the participants provided a second 24-hour recall. When we pooled 1999-2002 data (which had single 24-hour dietary recalls) with 2003-2004 data to estimate usual intake, our results were consistent when restricting analysis to NHANES 2003-2004 data (results not shown). Second, for the association analysis, added sugar intake was assessed at baseline and not updated during the follow-up period. The baseline exposure might not capture changes in intake over time. Third, although we adjusted for a comprehensive set of covariates in our multivariable models, the associations reported in our study may partially result from other unobserved confounding variables, from residual confounding, or by other dietary variables.55 However, use of the HEI provided a comprehensive assessment of overall dietary pattern and should have significantly reduced the confounding effect of other dietary variables. Further adjusting the sodium intake did not alter the results. Fourth, the observed association between added sugar and CVD mortality was significant in other groups but not among non-Hispanic blacks, perhaps because of a limited number of events in subgroups. Another possible explanation is that non-Hispanic blacks may be less susceptible to the metabolic effects of sugars, although this hypothesis needs to be further tested.12,54,56 Finally, although observational studies are important in improving our understanding of nutrient-disease relationships, they should not be directly interpreted as evidence of causal relationships without considering other lines of evidence.57
Our findings indicate that most US adults consume more added sugar than is recommended for a healthy diet. A higher percentage of calories from added sugar is associated with significantly increased risk of CVD mortality. In addition, regular consumption of sugar-sweetened beverages is associated with elevated CVD mortality. Our results support current recommendations to limit the intake of calories from added sugars in US diets.
Accepted for Publication: November 6, 2013.
Corresponding Author: Quanhe Yang, PhD, Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, 4770 Buford Hwy, Mail Stop F-72, Atlanta, GA 30341 (qay0@cdc.gov).
Published Online: February 3, 2014. doi:10.1001/jamainternmed.2013.13563.
Author Contributions: Drs Yang and Zhang had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.
Study concept and design: Yang, Gregg, Hu.
Acquisition of data: Zhang.
Analysis and interpretation of data: Yang, Zhang, Flanders, Merritt, Hu.
Drafting of the manuscript: Yang.
Critical revision of the manuscript for important intellectual content: All authors.
Statistical analysis: Yang, Zhang, Flanders.
Administrative, technical, or material support: Gregg.
Study supervision: Yang, Hu.
Conflict of Interest Disclosures: None reported.
Disclaimer: The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.
Additional Contributions: Victor Kipnis, PhD (Division of Cancer Prevention, NCI), provided advice on using the NCI method to estimate the usual percentage of total calories from added sugar and its association with CVD mortality with data from the NHANES III Linked Mortality Files. Cathleen Gillespie, MS (Epidemiology and Surveillance Branch), and Yuling Hong MD, PhD (Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention), provided helpful comments. The contributors received no compensation for their services.
2.Ebbeling
CB, Feldman
HA, Chomitz
VR,
et al. A randomized trial of sugar-sweetened beverages and adolescent body weight.
N Engl J Med. 2012;367(15):1407-1416.
PubMedGoogle ScholarCrossref 3.Institute of Medicine (US) Panel on Macronutrients. Dietary Reference Intakes for Energy, Carbohydrate, Fiber, Fat, Fatty Acids, Cholesterol, Protein, and Amino Acids. Washington, DC: National Academies Press; 2005.
4.Nishida
C, Uauy
R, Kumanyika
S, Shetty
P. The joint WHO/FAO expert consultation on diet, nutrition and the prevention of chronic diseases: process, product and policy implications.
Public Health Nutr. 2004;7(1A):245-250.
PubMedGoogle Scholar 5.Johnson
RK, Appel
LJ, Brands
M,
et al; American Heart Association Nutrition Committee of the Council on Nutrition, Physical Activity, and Metabolism and the Council on Epidemiology and Prevention. Dietary sugars intake and cardiovascular health: a scientific statement from the American Heart Association.
Circulation. 2009;120(11):1011-1020.
PubMedGoogle ScholarCrossref 6.US Department of Health and Human Services, United States Department of Agriculture, United States Dietary Guidelines Advisory Committee. Dietary Guidelines for Americans, 2010.7th ed. Washington, DC: Government Printing Office; 2010.
7.Te Morenga
L, Mallard
S, Mann
J. Dietary sugars and body weight: systematic review and meta-analyses of randomised controlled trials and cohort studies.
BMJ. 2013;346:e7492. doi:10.1136/bmj.e7492.
PubMedGoogle ScholarCrossref 8.Hu
FB, Malik
VS. Sugar-sweetened beverages and risk of obesity and type 2 diabetes: epidemiologic evidence.
Physiol Behav. 2010;100(1):47-54.
PubMedGoogle ScholarCrossref 9.Malik
VS, Hu
FB. Sweeteners and risk of obesity and type 2 diabetes: the role of sugar-sweetened beverages [published online January 31, 2012].
Curr Diab Rep.
PubMedGoogle Scholar 10.Malik
VS, Schulze
MB, Hu
FB. Intake of sugar-sweetened beverages and weight gain: a systematic review.
Am J Clin Nutr. 2006;84(2):274-288.
PubMedGoogle Scholar 11.Malik
VS, Willett
WC, Hu
FB. Sugar-sweetened beverages and BMI in children and adolescents: reanalyses of a meta-analysis.
Am J Clin Nutr. 2009;89(1):438-440.
PubMedGoogle ScholarCrossref 13.de Ruyter
JC, Olthof
MR, Seidell
JC, Katan
MB. A trial of sugar-free or sugar-sweetened beverages and body weight in children.
N Engl J Med. 2012;367(15):1397-1406.
PubMedGoogle ScholarCrossref 14.Malik
VS, Popkin
BM, Bray
GA, Després
JP, Hu
FB. Sugar-sweetened beverages, obesity, type 2 diabetes mellitus, and cardiovascular disease risk.
Circulation. 2010;121(11):1356-1364.
PubMedGoogle ScholarCrossref 15.Malik
VS, Popkin
BM, Bray
GA, Després
JP, Willett
WC, Hu
FB. Sugar-sweetened beverages and risk of metabolic syndrome and type 2 diabetes: a meta-analysis.
Diabetes Care. 2010;33(11):2477-2483.
PubMedGoogle ScholarCrossref 16.Schulze
MB, Manson
JE, Ludwig
DS,
et al. Sugar-sweetened beverages, weight gain, and incidence of type 2 diabetes in young and middle-aged women.
JAMA. 2004;292(8):927-934.
PubMedGoogle ScholarCrossref 17.Basu
S, Yoffe
P, Hills
N, Lustig
RH. The relationship of sugar to population-level diabetes prevalence: an econometric analysis of repeated cross-sectional data.
PLoS One. 2013;8(2):e57873. doi:10.1371/journal.pone.0057873.
PubMedGoogle ScholarCrossref 18.Welsh
JA, Sharma
A, Abramson
JL, Vaccarino
V, Gillespie
C, Vos
MB. Caloric sweetener consumption and dyslipidemia among US adults.
JAMA. 2010;303(15):1490-1497.
PubMedGoogle ScholarCrossref 19.Welsh
JA, Sharma
A, Cunningham
SA, Vos
MB. Consumption of added sugars and indicators of cardiovascular disease risk among US adolescents.
Circulation. 2011;123(3):249-257.
PubMedGoogle ScholarCrossref 20.Brown
IJ, Stamler
J, Van Horn
L,
et al; International Study of Macro/Micronutrients and Blood Pressure Research Group. Sugar-sweetened beverage, sugar intake of individuals, and their blood pressure: international study of macro/micronutrients and blood pressure.
Hypertension. 2011;57(4):695-701.
PubMedGoogle ScholarCrossref 21.Chen
L, Caballero
B, Mitchell
DC,
et al. Reducing consumption of sugar-sweetened beverages is associated with reduced blood pressure: a prospective study among United States adults.
Circulation. 2010;121(22):2398-2406.
PubMedGoogle ScholarCrossref 22.de Koning
L, Malik
VS, Kellogg
MD, Rimm
EB, Willett
WC, Hu
FB. Sweetened beverage consumption, incident coronary heart disease, and biomarkers of risk in men.
Circulation. 2012;125(14):1735-1741.
PubMedGoogle ScholarCrossref 23.National Center for Health Statistics, Centers for Disease Control and Prevention. Plan and Operation of the Third National Health and Nutrition Examination Survey (NHANES III, 1988-94): Reference Manuals and Reports: Weighting and Estimation Methodology Report. Hyattsville, MD: US Dept of Health & Human Services, Public Health Service, Centers for Disease Control & Prevention; 1998.
27.Centers for Disease Control and Prevention. Plan and operation of the Third National Health and Nutrition Examination Survey, 1988-94: series 1: programs and collection procedures.
Vital Health Stat 1. 1994;(32):1-407.
PubMedGoogle Scholar 30.Bowman SA, Friday JE, Moshfegh A. MyPyramid Equivalents Database, 2.0, for USDA Survey Foods, 2003-2004. US Department of Agriculture, Agriculture Research Service.
http://www.ars.usda.gov/ba/bhnrc/fsrg. Published 2008. Accessed August 28, 2012.
31.Carriquiry
AL. Estimation of usual intake distributions of nutrients and foods.
J Nutr. 2003;133(2):601S-608S.
PubMedGoogle Scholar 32.Willett
W. Nutritional Epidemiology. New York, NY: Oxford University Press; 1998.
33.Freedman
LS, Schatzkin
A, Midthune
D, Kipnis
V. Dealing with dietary measurement error in nutritional cohort studies.
J Natl Cancer Inst. 2011;103(14):1086-1092.
PubMedGoogle ScholarCrossref 34.Tooze
JA, Midthune
D, Dodd
KW,
et al. A new statistical method for estimating the usual intake of episodically consumed foods with application to their distribution.
J Am Diet Assoc. 2006;106(10):1575-1587.
PubMedGoogle ScholarCrossref 35.Kipnis
V, Midthune
D, Buckman
DW,
et al. Modeling data with excess zeros and measurement error: application to evaluating relationships between episodically consumed foods and health outcomes.
Biometrics. 2009;65(4):1003-1010.
PubMedGoogle ScholarCrossref 37.Kennedy
ET, Ohls
J, Carlson
S, Fleming
K. The Healthy Eating Index: design and applications.
J Am Diet Assoc. 1995;95(10):1103-1108.
PubMedGoogle ScholarCrossref 38.Tooze
JA, Kipnis
V, Buckman
DW,
et al. A mixed-effects model approach for estimating the distribution of usual intake of nutrients: the NCI method.
Stat Med. 2010;29(27):2857-2868.
PubMedGoogle ScholarCrossref 39.Austin
PC. Absolute risk reductions and numbers needed to treat can be obtained from adjusted survival models for time-to-event outcomes.
J Clin Epidemiol. 2010;63(1):46-55.
PubMedGoogle ScholarCrossref 40.Cheng
NF, Han
PZ, Gansky
SA. Methods and software for estimating health disparities: the case of children’s oral health.
Am J Epidemiol. 2008;168(8):906-914.
PubMedGoogle ScholarCrossref 41.Rao
JNK, Wu
CFJ, Yue
K. Some recent work on resampling methods for complex surveys.
Surv Methodol. 1992;18:209-217.
Google Scholar 42.Harrell
FE. Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis. New York, NY: Springer; 2001.
43.Shah
VBBB, Bieler
GS. SUDAAN User’s Manual, Release 9. Research Triangle Park, NC: Research Triangle Institute; 2005.
44.Lloyd-Jones
DM, Hong
Y, Labarthe
D,
et al; American Heart Association Strategic Planning Task Force and Statistics Committee. Defining and setting national goals for cardiovascular health promotion and disease reduction: the American Heart Association’s strategic impact goal through 2020 and beyond.
Circulation. 2010;121(4):586-613.
PubMedGoogle ScholarCrossref 46.Fung
TT, Malik
V, Rexrode
KM, Manson
JE, Willett
WC, Hu
FB. Sweetened beverage consumption and risk of coronary heart disease in women.
Am J Clin Nutr. 2009;89(4):1037-1042.
PubMedGoogle ScholarCrossref 47.Gibson
SA. Dietary sugars intake and micronutrient adequacy: a systematic review of the evidence.
Nutr Res Rev. 2007;20(2):121-131.
PubMedGoogle ScholarCrossref 48.Buñag
RD, Tomita
T, Sasaki
S. Chronic sucrose ingestion induces mild hypertension and tachycardia in rats.
Hypertension. 1983;5(2):218-225.
PubMedGoogle ScholarCrossref 49.Fried
SK, Rao
SP. Sugars, hypertriglyceridemia, and cardiovascular disease.
Am J Clin Nutr. 2003;78(4):873S-880S.
PubMedGoogle Scholar 51.Pearson
TA, Mensah
GA, Alexander
RW,
et al; Centers for Disease Control and Prevention; American Heart Association. Markers of inflammation and cardiovascular disease: application to clinical and public health practice: a statement for healthcare professionals from the Centers for Disease Control and Prevention and the American Heart Association.
Circulation. 2003;107(3):499-511.
PubMedGoogle ScholarCrossref 52.Aeberli
I, Gerber
PA, Hochuli
M,
et al. Low to moderate sugar-sweetened beverage consumption impairs glucose and lipid metabolism and promotes inflammation in healthy young men: a randomized controlled trial.
Am J Clin Nutr. 2011;94(2):479-485.
PubMedGoogle ScholarCrossref 53.de Koning
L, Malik
VS, Rimm
EB, Willett
WC, Hu
FB. Sugar-sweetened and artificially sweetened beverage consumption and risk of type 2 diabetes in men.
Am J Clin Nutr. 2011;93(6):1321-1327.
PubMedGoogle ScholarCrossref 54.Davis
JN, Lê
KA, Walker
RW,
et al. Increased hepatic fat in overweight Hispanic youth influenced by interaction between genetic variation in
PNPLA3 and high dietary carbohydrate and sugar consumption.
Am J Clin Nutr. 2010;92(6):1522-1527.
PubMedGoogle ScholarCrossref 55.Ascherio
A, Rimm
EB, Hernán
MA,
et al. Intake of potassium, magnesium, calcium, and fiber and risk of stroke among US men.
Circulation. 1998;98(12):1198-1204.
PubMedGoogle ScholarCrossref 56.Walker
RW, Lê
KA, Davis
J,
et al. High rates of fructose malabsorption are associated with reduced liver fat in obese African Americans.
J Am Coll Nutr. 2012;31(5):369-374.
PubMedGoogle ScholarCrossref 57.Truswell
AS. Some problems with Cochrane reviews of diet and chronic disease.
Eur J Clin Nutr. 2005;59(suppl 1):S150-S154, discussion S195-S196.
PubMedGoogle ScholarCrossref