Literature DB >> 24352065

Trends in the prevalence of excess dietary sodium intake - United States, 2003-2010.

.   

Abstract

Excess sodium intake can lead to hypertension, the primary risk factor for cardiovascular disease, which is the leading cause of U.S. deaths. Monitoring the prevalence of excess sodium intake is essential to provide the evidence for public health interventions and to track reductions in sodium intake, yet few reports exist. Reducing population sodium intake is a national priority, and monitoring the amount of sodium consumed adjusted for energy intake (sodium density or sodium in milligrams divided by calories) has been recommended because a higher sodium intake is generally accompanied by a higher calorie intake from food. To describe the most recent estimates and trends in excess sodium intake, CDC analyzed 2003-2010 data from the National Health and Nutrition Examination Survey (NHANES) of 34,916 participants aged ≥1 year. During 2007-2010, the prevalence of excess sodium intake, defined as intake above the Institute of Medicine tolerable upper intake levels (1,500 mg/day at ages 1-3 years; 1,900 mg at 4-8 years; 2,200 mg at 9-13 years; and 2,300 mg at ≥14 years) (3), ranged by age group from 79.1% to 95.4%. Small declines in the prevalence of excess sodium intake occurred during 2003-2010 in children aged 1-13 years, but not in adolescents or adults. Mean sodium intake declined slightly among persons aged ≥1 year, whereas sodium density did not. Despite slight declines in some groups, the majority of the U.S. population aged ≥1 year consumes excess sodium.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 24352065      PMCID: PMC4584577     

Source DB:  PubMed          Journal:  MMWR Morb Mortal Wkly Rep        ISSN: 0149-2195            Impact factor:   17.586


Excess sodium intake can lead to hypertension, the primary risk factor for cardiovascular disease, which is the leading cause of U.S. deaths (1). Monitoring the prevalence of excess sodium intake is essential to provide the evidence for public health interventions and to track reductions in sodium intake, yet few reports exist. Reducing population sodium intake is a national priority, and monitoring the amount of sodium consumed adjusted for energy intake (sodium density or sodium in milligrams divided by calories) has been recommended because a higher sodium intake is generally accompanied by a higher calorie intake from food (2). To describe the most recent estimates and trends in excess sodium intake, CDC analyzed 2003–2010 data from the National Health and Nutrition Examination Survey (NHANES) of 34,916 participants aged ≥1 year. During 2007–2010, the prevalence of excess sodium intake, defined as intake above the Institute of Medicine tolerable upper intake levels (1,500 mg/day at ages 1–3 years; 1,900 mg at 4–8 years; 2,200 mg at 9–13 years; and 2,300 mg at ≥14 years) (3), ranged by age group from 79.1% to 95.4%. Small declines in the prevalence of excess sodium intake occurred during 2003–2010 in children aged 1–13 years, but not in adolescents or adults. Mean sodium intake declined slightly among persons aged ≥1 year, whereas sodium density did not. Despite slight declines in some groups, the majority of the U.S. population aged 1 year consumes excess sodium. NHANES is a nationally representative, multistage survey of the noninstitutionalized U.S. civilian population. Certain populations are oversampled to allow for reliable estimates within subgroups.* During NHANES 2003–2010, a total of 49,731 participants aged ≥1 year (including those currently breastfed) were screened. Participants who completed an initial in-person dietary recall in a mobile examination center were asked to complete a second 24-hour dietary recall by telephone 3–10 days later. After those with missing or incomplete dietary recall data were excluded, the final analytic sample was 34,916, for a response rate of 70.3% among those screened. The 24-hour dietary recall was collected by trained interviewers using the U.S. Department of Agriculture (USDA) automated multiple-pass method† by proxy for those aged 1–5 years, by participants with proxy assistance for those aged 6–11 years, and directly by participants aged ≥12 years. The nutrient values of sodium were assigned to foods and beverages using the USDA Food and Nutrient Database for Dietary Studies corresponding with each NHANES 2-year cycle.§ Sodium intake for each respondent on each recall day was estimated by summing the sodium consumed from each food and beverage during the previous 24 hours (excluding supplements, antacids, and salt added at the table). To evaluate trends, from 2003–2010, estimates of sodium in foods did not include salt adjustments for participants whose household used salt in cooking occasionally or less often.¶ For children consuming human milk, the sodium content was estimated and added to sodium from other foods and beverages.** Up to two 24-hour dietary recalls were used. Data were analyzed with statistical software that fits a measurement error model.†† All estimates were based on usual sodium intake, adjusting for within person, day-to-day variability. After adjusting for the day of the week of the recall, age (years), sex, and race/ethnicity, estimates were calculated for mean usual sodium intake, sodium density, and prevalence of excess sodium intake. Jackknife replicate weights based on survey weights were used to estimate standard errors and account for the complex survey design. The differences in the prevalence of excess sodium intake were examined by z test. Using linear regression models with the usual mean intake for each 2-year phase weighted by the inverse of the variance, trends in sodium intake and sodium intake density were examined using a z test. A p-value of <0.05 was considered statistically significant. No adjustment was made for multiple testing. What is already known on this topic? Excess sodium intake can lead to hypertension and consequent cardiovascular disease. Sodium consumption in the United States is well above national recommendations. Reports of national data on sodium consumption trends are limited. What is added by this report? As of 2010, >90% of U.S. adolescents and adults consume sodium in excess of recommendations, and little has changed since 2003. U.S. children have seen a slight decline in excess sodium consumption during the same period, but 80%–90% of children continue to consume excess sodium. From 2003 to 2010, a slight decrease occurred in average sodium intake, but not sodium intake per calorie. What are the implications for public health practice? Small reductions in sodium intake might be related to declines in average energy consumption, rather than changes in the amount of sodium per calorie in foods consumed. Given that average energy and sodium intakes have changed little over time, coupling efforts to reduce obesity with efforts to reduce the sodium content per calorie in foods might accelerate reductions in sodium consumed. During 2007–2010, the prevalence of excess usual sodium intake ranged from 79.1% for U.S. children aged 1–3 years to 95.4% for U.S. adults aged 19–50 years (Table 1). A statistically significant 2.7–4.9 percentage point decline in excess usual sodium intake occurred from 2003–2006 to 2007–2010 among children aged 1–3, 4–8, and 9–13 years, but not among adolescents or adults. Among children aged 4–8 years, statistically significant declines occurred across all sex and race/ethnicity subgroups.
TABLE 1

Proportion of usual sodium intake exceeding the Institute of Medicine tolerable upper intake level,* by age group, sex, and race/ethnicity† — National Health and Nutrition Examination Survey (NHANES), United States, 2003–2010

CharacteristicUpper limit (mg/day)2003–20062007–2010Percentage point changep-value


No.§Proportion over upper intake level (%)Standard errorNo.Proportion over upper intake level (%)Standard error
Age 1–3 yrs 1,5001,560(84.0)1.41,558(79.1)1.9(−4.9)0.019
 Male784(84.1)2.0809(79.4)2.7(−4.7)0.081
 Female776(84.3)2.2749(79.7)2.2(−4.6)0.071
 White, non-Hispanic470(84.0)2.9525(80.3)3.7(−3.7)0.215
 Black, non-Hispanic407(87.6)3.3297(86.3)3.0(−1.3)0.385
 Mexican-American519(75.7)3.2437(71.2)4.9(−4.5)0.222
Age 4–8 yrs 1,9001,682(97.3)0.41,890(92.6)0.8(−4.6)<0.001
 Male815(97.7)0.5995(94.3)1.0(−3.4)0.008
 Female867(96.9)0.8895(90.5)1.4(−6.3)<0.001
 White, non-Hispanic479(96.3)0.8621(90.3)1.5(−5.9)<0.001
 Black, non-Hispanic519(98.9)0.7402(95.6)1.3(−3.3)0.012
 Mexican-American517(94.2)1.4529(89.3)2.6(−4.9)0.045
Age 9–13 yrs 2,2002,040(96.9)0.71,717(94.2)0.9(−2.7)0.008
 Male999****850(96.8)0.7††††
 Female1,041(91.4)1.6867(90.1)1.7(−1.4)0.279
 White, non-Hispanic516(97.0)0.8544****††††
 Black, non-Hispanic691****406****††††
 Mexican-American669(95.4)1.3456(84.8)3.1(−10.5)0.001
Age 14–18 yrs 2,3002,673(94.2)1.01,552(92.3)1.5(−1.9)0.145
 Male1,353(97.8)0.7818****††††
 Female1,320(84.2)2.3734(80.2)3.1(−4.0)0.938
 White, non-Hispanic731(95.7)1.0517(93.4)1.7(−2.3)0.123
 Black, non-Hispanic938(90.7)1.8369****††††
 Mexican-American820(94.3)1.3385(90.0)2.2(−4.3)0.047
Age 19–50 yrs 2,3005,428(95.9)0.46,086(95.4)0.5(−0.5)0.200
 Male2,528(99.2)0.12,936(99.1)0.2(−0.1)0.242
 Female2,900(86.6)1.23,150(84.8)1.4(−1.9)0.152
 White, non-Hispanic2,384(97.1)0.42,598(96.4)0.6(−0.7)0.170
 Black, non-Hispanic1,310(92.5)1.41,190(93.4)0.8(0.9)0.709
 Mexican-American1,276(93.5)1.01,270(90.8)1.3(−2.8)0.050
Age ≥51 yrs 2,3004,062(88.9)1.04,668(90.1)0.8(1.2)0.839
 Male2,028(95.9)0.62,341(96.5)0.5(0.6)0.782
 Female2,034(77.1)1.42,327(77.9)1.4(0.9)0.668
 White, non-Hispanic2,416(91.4)0.92,273(92.8)0.8(1.4)0.876
 Black, non-Hispanic762(79.0)2.4975(82.2)2.0(3.2)0.842
 Mexican-American674(67.7)3.9757(76.3)3.1(8.6)0.959

The upper intake level is the age-specific, tolerable upper intake level, as defined by the Institute of Medicine (2005). The proportion of usual sodium intake over the upper intake level was estimated using PC-SIDE software (Department of Statistics, Iowa State University) with jackknife replicate weights and adjusted for the day of the week of the recall, age (years), sex, and race/ethnicity. Persons missing data on incomplete first-day recall were excluded from the analysis.

Other racial/ethnic groups were not included. The sum of the sample size of non-Hispanic white, non-Hispanic black, and Mexican-American is not equal to the total sample size.

Sample sizes unweighted.

p<0.05, when trends of proportion of usual sodium intake over the upper intake level were examined using the z test.

Data statistically unreliable; relative standard error ≥0.3.

Not applicable.

Mean usual sodium intake among the U.S. population aged ≥1 year decreased slightly from 2003–2004 to 2009–2010 (3,518 mg versus 3,424 mg; p-value for trend = 0.037). The U.S. population aged ≥1 year consumed, on average, approximately 1,700 mg sodium per 1,000 kcal during 2009–2010, with no significant trend over time compared with previous investigation years (Table 2). Across age groups, mean usual sodium density did not change significantly over time, with the exception of youths aged 14–18 years, for whom sodium density increased slightly. Within age groups, mean usual sodium density slightly increased among males aged 4–8 years and females aged 14–18 years and slightly declined among non-Hispanic whites aged ≥51 years.
TABLE 2

Mean usual sodium density* (mg/1,000 kcal), by age group, sex, and race/ethnicity† — National Health and Nutrition Examination Survey (NHANES), United States, 2003–2010

Characteristic2003–20042005–20062007–20082009–2010Changes per cyclep-value for trend




No.§MeanStandard errorNo.MeanStandard errorNo.MeanStandard errorNo.MeanStandard error
Overall 8,579 1,661 10 8,866 1,693 14 8,473 1,697 12 8,998 1,689 10 9 0.248
 Male4,1921,65394,3151,666144,2661,695154,4831,69014140.054
 Female4,3871,669174,5511,719174,2071,698164,5151,6881320.879
 White, non-Hispanic3,5411,679103,4551,710143,3671,698113,7111,6921040.560
 Black, non-Hispanic2,2841,617262,3431,637141,9391,664211,7001,6321750.652
 Mexican-American2,1231,548152,3521,569161,7731,582162,0611,58128130.063
Age 1–3 yrs 7401,431218201,458347651,429237931,42715−30.589
 Male3631,404324211,472463991,392344101,4192500.993
 Female3771,457313991,433203661,463273831,43322−30.727
 White, non-Hispanic2261,435252441,472362461,399362791,43434−50.729
 Black, non-Hispanic2181,500301891,464341631,497291341,47975−30.840
 Mexican-American2281,364492911,343312071,368462301,3604730.695
Age 4–8 yrs 7831,541198991,550199341,530209561,5562320.822
 Male3821,491204331,531215001,544314951,57341270.028**
 Female4011,594294661,567284341,518244611,54121−180.252
 White, non-Hispanic2201,545312591,522283001,480263211,54637−70.747
 Black, non-Hispanic2611,574422581,614402301,620321721,56832−30.840
 Mexican-American2241,434342931,491232501,524312791,4873130.695
Age 9–13 yrs 9951,601231,0451,633168321,637328851,6361990.292
 Male4821,580355171,640294111,647404391,66530250.102
 Female5131,622345281,627394211,625454461,61327−30.269
 White, non-Hispanic2661,568282501,648252521,638452921,63523170.370
 Black, non-Hispanic3501,750583411,685392241,722481821,59930−440.140
 Mexican-American3011,520453681,613272061,514642501,59838120.700
Age 14–18 yrs 1,3431,567261,3301,636397381,683368141,68930430.036**
 Male6971,594336561,638503851,721384331,67837350.143
 Female6461,535316741,625363531,644363811,69837540.036**
 White, non-Hispanic3601,586333711,639482471,717472701,67538340.137
 Black, non-Hispanic4881,542424501,531271951,594501741,60925270.137
 Mexican-American4111,551314091,607281651,656702201,63158360.104
Age 19–50 yrs 2,5831,657172,8451,717202,8651,7181432211,70811120.345
 Male1,2261,651211,3021,687221,4041,7121515321,70320180.163
 Female1,3571,660251,5431,742291,4611,7232216891,71217100.527
 White, non-Hispanic1,1891,663211,1951,729251,1881,7201814101,70915110.432
 Black, non-Hispanic6331,603506771,641306231,664315671,6362250.697
 Mexican-American5601,578177161,598255981,602156721,6013090.113
Age ≥51 yrs 2,1351,778171,9271,759162,3391,768232,3291,74820−80.159
 Male1,0421,784259861,712241,1671,768251,1741,76036−30.904
 Female1,0931,775209411,799191,1721,767271,1551,73624−150.290
 White, non-Hispanic1,2801,799181,1361,771171,1341,752171,1391,73825−210.012**
 Black, non-Hispanic3341,671294281,689305041,726324711,69734120.354
 Mexican-American3991,637452751,567473471,657424101,6313140.809

Sodium intake density was calculated as sodium intake divided by daily calories. Mean usual sodium intake density was estimated using PC-SIDE software (Department of Statistics, Iowa State University) with jackknife replicate weights and adjusted for the day of the week of the recall, age (years), sex, and race/ethnicity. Persons missing first-day recall data were excluded.

Other racial/ethnic groups were not included. The sum of the sample size of non-Hispanic white, non-Hispanic black, and Mexican-American is not equal to the total sample size.

Sample sizes are unweighted.

Mean change in sodium density per 2-year cycle (mg/1,000 kcal) estimated from a linear regression model with the usual mean sodium density for each 2-year phase weighted by the inverse of the variance.

p<0.05, when mean usual sodium intake density was examined by using linear regression model.

Editorial Note

The findings in this report indicate that during 2007–2010, approximately eight out of 10 U.S. children aged 1–3 years and nine out of 10 U.S. residents aged ≥4 years were at potential risk for high blood pressure attributable to excess sodium intake. Although a slight decrease in the prevalence of excess usual sodium intake occurred after 2003–2006 among children aged 1–13 years, excess intake did not decrease among adolescents and adults. During 2003–2010, a slight decrease occurred in average population sodium intake, but not sodium intake per calorie. Although some variation in trends occurred among population subgroups in usual mean sodium intake and sodium density, the lack of a change in sodium consumed per calorie (approximately 1,700 mg/1,000 kcal) suggests that the small reduction in usual sodium intake might be related to declines in calorie consumption, rather than to changes in sodium density of foods. Previous reports (4,5) included data on trends in U.S. sodium intake from the 1970s to 2003. The findings in this report update these trends, and include new data on usual excess sodium intake and sodium density. The slight declines in excess usual sodium intake among children aged 1–13 years might be partially explained by declines in energy intake among children over the same period.§§ Given an average sodium consumption of 1,700 mg/1,000 kcal/day, reducing 100 calories per day could result in a mean reduction of 170 mg of sodium per day, slightly shifting the distribution of sodium intake and lowering the percentage of those with excess intake. Among adults, the pattern of trends in sodium intake also might be explained by changes in energy intake over time. Although average energy intake declined slightly during 1999–2010 among adults aged 20–39 years, it did not change among older adults (6). The findings in this report are subject to at least four limitations. First, NHANES data exclude military personnel and institutionalized populations such as persons who reside in long-term care or correctional facilities. Second, the response rate was 70.3%; lower response rates can result in response bias. Third, the 24-hour dietary recall underestimates mean caloric intake by an estimated 11% and sodium intake by 9%, and sodium intake excluded use of salt at the table, which accounts for nearly 5% of U.S. sodium intake (7). Finally, no adjustments for multiple comparisons were performed to determine whether differences between any pair of estimates were statistically significant. Despite slight declines in sodium intake among some population groups, most U.S. residents aged ≥1 year consume excess sodium. Given consumption of approximately 1,700 mg of sodium per 1,000 kilocalories/day, a mean energy reduction of approximately 600 kcal/day would be required to reduce mean sodium intake by approximately 1,000 mg, to approximately 2,300 mg/day. A sodium density target of 1,000 mg/1,000 kcal was recently proposed to lower sodium intake to <2,300 mg per day (2). Given that average energy and sodium intakes have changed little over time, coupling efforts to reduce obesity with efforts to reduce the sodium content per calorie in foods might accelerate progress. Considering that 8.1% of sodium intake among U.S. children comes from school meals (8), new school food guidelines might promote progress toward achieving goals for reducing sodium consumption among children who obtain meals at school.¶¶ Other ongoing public health efforts include working with industry to gradually reduce sodium in commercially processed packaged and restaurant foods.*** Even a 400 mg reduction in mean U.S. sodium intake might save billions of health-care dollars (9).
  8 in total

1.  Heart disease and stroke statistics--2012 update: a report from the American Heart Association.

Authors:  Véronique L Roger; Alan S Go; Donald M Lloyd-Jones; Emelia J Benjamin; Jarett D Berry; William B Borden; Dawn M Bravata; Shifan Dai; Earl S Ford; Caroline S Fox; Heather J Fullerton; Cathleen Gillespie; Susan M Hailpern; John A Heit; Virginia J Howard; Brett M Kissela; Steven J Kittner; Daniel T Lackland; Judith H Lichtman; Lynda D Lisabeth; Diane M Makuc; Gregory M Marcus; Ariane Marelli; David B Matchar; Claudia S Moy; Dariush Mozaffarian; Michael E Mussolino; Graham Nichol; Nina P Paynter; Elsayed Z Soliman; Paul D Sorlie; Nona Sotoodehnia; Tanya N Turan; Salim S Virani; Nathan D Wong; Daniel Woo; Melanie B Turner
Journal:  Circulation       Date:  2011-12-15       Impact factor: 29.690

2.  Vital signs: food categories contributing the most to sodium consumption - United States, 2007-2008.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2012-02-10       Impact factor: 17.586

3.  Mortality benefits from US population-wide reduction in sodium consumption: projections from 3 modeling approaches.

Authors:  Pamela G Coxson; Nancy R Cook; Michel Joffres; Yuling Hong; Diane Orenstein; Steven M Schmidt; Kirsten Bibbins-Domingo
Journal:  Hypertension       Date:  2013-02-11       Impact factor: 10.190

Review 4.  Trends in 24-h urinary sodium excretion in the United States, 1957-2003: a systematic review.

Authors:  Adam M Bernstein; Walter C Willett
Journal:  Am J Clin Nutr       Date:  2010-09-08       Impact factor: 7.045

5.  Trends in energy intake among adults in the United States: findings from NHANES.

Authors:  Earl S Ford; William H Dietz
Journal:  Am J Clin Nutr       Date:  2013-02-20       Impact factor: 7.045

6.  Modeling dietary patterns to assess sodium recommendations for nutrient adequacy.

Authors:  Patricia M Guenther; Joan M G Lyon; Lawrence J Appel
Journal:  Am J Clin Nutr       Date:  2013-02-27       Impact factor: 7.045

Review 7.  Secular trends in dietary intake in the United States.

Authors:  Ronette R Briefel; Clifford L Johnson
Journal:  Annu Rev Nutr       Date:  2004       Impact factor: 11.848

8.  The USDA Automated Multiple-Pass Method accurately assesses population sodium intakes.

Authors:  Donna G Rhodes; Theophile Murayi; John C Clemens; David J Baer; Rhonda S Sebastian; Alanna J Moshfegh
Journal:  Am J Clin Nutr       Date:  2013-04-03       Impact factor: 7.045

  8 in total
  28 in total

1.  Trends in Blood Pressure and Usual Dietary Sodium Intake Among Children and Adolescents, National Health and Nutrition Examination Survey 2003 to 2016.

Authors:  Katherine J Overwyk; Lixia Zhao; Zefeng Zhang; Jennifer L Wiltz; Elizabeth K Dunford; Mary E Cogswell
Journal:  Hypertension       Date:  2019-06-24       Impact factor: 10.190

2.  Spot urine sodium measurements do not accurately estimate dietary sodium intake in chronic kidney disease.

Authors:  Carly E Dougher; Dena E Rifkin; Cheryl Am Anderson; Gerard Smits; Martha S Persky; Geoffrey A Block; Joachim H Ix
Journal:  Am J Clin Nutr       Date:  2016-06-29       Impact factor: 7.045

Review 3.  Population-level interventions in government jurisdictions for dietary sodium reduction.

Authors:  Lindsay McLaren; Nureen Sumar; Amanda M Barberio; Kathy Trieu; Diane L Lorenzetti; Valerie Tarasuk; Jacqui Webster; Norman Rc Campbell
Journal:  Cochrane Database Syst Rev       Date:  2016-09-16

Review 4.  Pooled results from 5 validation studies of dietary self-report instruments using recovery biomarkers for potassium and sodium intake.

Authors:  Laurence S Freedman; John M Commins; James E Moler; Walter Willett; Lesley F Tinker; Amy F Subar; Donna Spiegelman; Donna Rhodes; Nancy Potischman; Marian L Neuhouser; Alanna J Moshfegh; Victor Kipnis; Lenore Arab; Ross L Prentice
Journal:  Am J Epidemiol       Date:  2015-03-18       Impact factor: 4.897

5.  Sodium Reduction in US Households' Packaged Food and Beverage Purchases, 2000 to 2014.

Authors:  Jennifer M Poti; Elizabeth K Dunford; Barry M Popkin
Journal:  JAMA Intern Med       Date:  2017-07-01       Impact factor: 21.873

6.  Trends in Food and Beverage Consumption Among Infants and Toddlers: 2005-2012.

Authors:  Gandarvaka Miles; Anna Maria Siega-Riz
Journal:  Pediatrics       Date:  2017-05-01       Impact factor: 7.124

7.  Top sources of dietary sodium from birth to age 24 mo, United States, 2003-2010.

Authors:  Joyce Maalouf; Mary E Cogswell; Keming Yuan; Carrie Martin; Janelle P Gunn; Pamela Pehrsson; Robert Merritt; Barbara Bowman
Journal:  Am J Clin Nutr       Date:  2015-03-11       Impact factor: 7.045

8.  American Diet Quality: Where It Is, Where It Is Heading, and What It Could Be.

Authors:  Magdalena M Wilson; Jill Reedy; Susan M Krebs-Smith
Journal:  J Acad Nutr Diet       Date:  2015-11-21       Impact factor: 4.910

9.  Trends and determinants of discretionary salt use: National Health and Nutrition Examination Survey 2003-2012.

Authors:  Zerleen S Quader; Sheena Patel; Cathleen Gillespie; Mary E Cogswell; Janelle P Gunn; Cria G Perrine; Richard D Mattes; Alanna Moshfegh
Journal:  Public Health Nutr       Date:  2016-03-16       Impact factor: 4.022

10.  Effects of a behavioral intervention that emphasizes spices and herbs on adherence to recommended sodium intake: results of the SPICE randomized clinical trial.

Authors:  Cheryl A M Anderson; Laura K Cobb; Edgar R Miller; Mark Woodward; Annette Hottenstein; Alex R Chang; Morgana Mongraw-Chaffin; Karen White; Jeanne Charleston; Toshiko Tanaka; Letitia Thomas; Lawrence J Appel
Journal:  Am J Clin Nutr       Date:  2015-08-12       Impact factor: 7.045

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.