Evidence map›Paper›PMID 36774119›Full record

ArticleThe Journal of nutrition2022

Sugar-Sweetened Beverage Consumption and Plasma Lipoprotein Cholesterol, Apolipoprotein, and Lipoprotein Particle Size Concentrations in US Adults.

Danielle E Haslam, Daniel I Chasman, Gina M Peloso, Mark A Herman, Josée Dupuis, Alice H Lichtenstein, Caren E Smith, Paul M Ridker, Paul F Jacques, Samia Mora and 1 more

Open access · greenAbstract read
In one paragraph

Article in The Journal of nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.7field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 12 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 1 country.

Danielle E HaslamNutritional Epidemiology Program, Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA. Electronic address: nhdah@channing.harvard.edu.
Daniel I ChasmanDivision of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Gina M PelosoDepartment of Biostatistics, School of Public Health, Boston University, Boston, MA, USA.
Mark A HermanDivision of Endocrinology, Metabolism, and Nutrition, Department of Medicine, School of Medicine, Duke University, Durham, NC, USA.
Josée DupuisDepartment of Biostatistics, School of Public Health, Boston University, Boston, MA, USA; National Heart, Lung, and Blood Institute's Framingham Heart Study and Population Sciences Branch, Framingham, MA, USA.
Alice H LichtensteinCardiovascular Nutrition Laboratory, Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA.
Caren E SmithNutrition and Genomics Laboratory, Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA.
Paul M RidkerDivision of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Division of Cardiovascular Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Paul F JacquesNutritional Epidemiology Program, Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA.
Samia MoraDivision of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Division of Cardiovascular Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Nicola M McKeownPrograms of Nutrition, Department of Health Sciences, Sargent College of Health and Rehabilitation Sciences, Boston University, Boston, MA, USA.
Tufts University · USBoston University · USBrigham and Women's Hospital · USDuke University · US

Funding

FRAMINGHAM HEART STUDY - YEAR 5 EXAM75N92019D00031 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI RAMACHANDRAN, VASAN · 2019 to 2024
$29.8M
Training Program in Cancer EpidemiologyT32CA009001 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI A. Heather Eliassen, Meir Stampfer · 1985 to 2026
$17.3M
The Women's Health Study: Infrastructure Support for Continued Cohort Follow-upUM1CA182913 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI BURING, JULIE E., LEE, I-MIN · 2014 to 2018
$4.0M
The Role of ChREBP in Fructose Induced Metabolic DiseaseR01DK100425 · NIDDK · DUKE UNIVERSITY · PI HERMAN, MARK A · 2014 to 2023
$3.6M
Reducing Inflammation for the Prevention of CVD: A Focus on Eicosanoid PathwaysR01HL134811 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI MORA, SAMIA · 2017 to 2020
$3.0M
Circulating plasma metabolites, diet, and risk of type 2 diabetesR01DK112940 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI HU, FRANK B, MORA, SAMIA · 2018 to 2021
$2.9M
Mechanisms connecting dysregulated BCAA, glucose & lipid metabolism in the pathogenesis of metabolic diseaseR01DK121710 · NIDDK · DUKE UNIVERSITY · PI HERMAN, MARK A, NEWGARD, CHRISTOPHER B · 2019 to 2022
$2.7M
Nutrition &Cardiovascular Disease Training ProgramT32HL069772 · NHLBI · TUFTS UNIVERSITY BOSTON · PI LICHTENSTEIN, ALICE H · 2003 to 2017
$2.1M
Patient Centered Approaches to Preventing ASCVD EventsK24HL136852 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SAMIA MORA · 2018 to 2026
$1.1M
Genetic predictors of metabolic responses to dairyK08HL112845 · NHLBI · TUFTS UNIVERSITY BOSTON · PI SMITH, CAREN ELIZABETH · 2013 to 2017
$474k
American Heart Association-American Stroke Association 16CSA28590003-HERMANNCI NIH HHS T32 CA009001NCI NIH HHS UM1 CA182913NHLBI NIH HHS 75N92019D00031NHLBI NIH HHS K08 HL112845NHLBI NIH HHS K24 HL136852NHLBI NIH HHS R01 HL134811NHLBI NIH HHS T32 HL069772NIDDK NIH HHS R01 DK100425NIDDK NIH HHS R01 DK112940NIDDK NIH HHS R01 DK121710
6 · The paper itself

Abstract

backgroundProspective cohort studies have found a relation between sugar-sweetened beverage (SSB) consumption (sodas and fruit drinks) and dyslipidemia. There is limited evidence linking SSB consumption to emerging features of dyslipidemia, which can be characterized by variation in lipoprotein particle size, remnant-like particle (RLP), and apolipoprotein concentrations.

objectivesTo examine the association between SSB consumption and plasma lipoprotein cholesterol, apolipoprotein, and lipoprotein particle size concentrations among US adults.

methodsWe examined participants from the Framingham Offspring Study (FOS; 1987-1995, n = 3047) and the Women's Health Study (1992, n = 26,218). Concentrations of plasma LDL cholesterol, apolipoprotein B (apoB), HDL cholesterol, apolipoprotein A1 (apoA1), triglyceride (TG), and non-HDL cholesterol, as well as total cholesterol:HDL cholesterol ratio and apoB:apoA1 ratio, were quantified in both cohorts; concentrations of apolipoprotein E, apolipoprotein C3, RLP-TG, and RLP cholesterol (RLP-C) were measured in the FOS only. Lipoprotein particle sizes were calculated from nuclear magnetic resonance signals for lipoprotein particle subclass concentrations (TG-rich lipoprotein particles [TRL-Ps]: very large, large, medium, small, and very small; LDL particles [LDL-Ps]: large, medium, and small; HDL particles [HDL-Ps]: large, medium, and small). SSB consumption was estimated from food frequency questionnaire data. We examined the associations between SSB consumption and all lipoprotein and apoprotein measures in linear regression models, adjusting for confounding factors such as lifestyle, diet, and traditional lipoprotein risk factors.

resultsSSB consumption was positively associated with LDL cholesterol, apoB, TG, RLP-TG, RLP-C, and non-HDL cholesterol concentrations and total cholesterol:HDL cholesterol and apoB:apoA1 ratios; and negatively associated with HDL cholesterol and apoA1 concentrations (P-trend range: <0.0001 to 0.008). After adjustment for traditional lipoprotein risk factors, SSB consumers had smaller LDL-P and HDL-P sizes; lower concentrations of large LDL-Ps and medium HDL-Ps; and higher concentrations of small LDL-Ps, small HDL-Ps, and large TRL-Ps (P-trend range: <0.0001 to 0.001).

conclusionsHigher SSB consumption was associated with multiple emerging features of dyslipidemia that have been linked to higher cardiometabolic risk in US adults.

Indexed as

DyslipidemiasSugar-Sweetened BeveragesAdultApolipoproteinsApolipoproteins BCholesterolCholesterol, HDLCholesterol, LDLFemaleHumansLipoproteinsMaleParticle SizeProspective StudiesTriglyceridesApolipoproteinsApolipoproteins BCholesterolCholesterol, HDLCholesterol, LDLlipoprotein cholesterolLipoproteinsTriglyceridescarbohydratesdiabetesdyslipidemialipoprotein particle sizelipoproteinsnutritionobservational studysugar-sweetened beverages

Identifiers

PMID36774119
PMCPMC9644170
OpenAlexW4289523729

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.