SRMA of the Effect of Soy Milk vs Cow's Milk on Cardiometabolic Outcomes

March 2, 2023 updated by: John Sievenpiper, University of Toronto

Effect of Soy Milk for Cow's Milk on Intermediate Cardiometabolic Outcomes: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

Dairy consumption has shown associations with decreased incidence of cardiometabolic diseases. With the growing interest in plant-based eating, and the mounting evidence for the cardiovascular benefits of plant forward diets, national dietary guidelines have pivoted away from promoting exclusive daily dairy consumption. Soymilk is the most nutritionally comparable non-dairy plant-based alternative to cow's milk. Although the DGA, Health Canada, and various pediatric associations recognize fortified soymilk as the only non-dairy alternative equivalent to cow's milk and it can carry an approved health claim for coronary heart disease risk reduction based on the soy protein that it contains, soymilk is classified by the NOVA classification as an ultra-processed food (the opposite of the classification of cow's milk as an unprocessed or minimally processed food). To be an acceptable iso-sweet alternative to cow's milk, soymilk is also often sweetened with sucrose, which is designated as an added sugar, whereas the lactose that sweetens cow's milk is not (despite lactose in cow's milk being present in quantities that are double that of sucrose in soymilk products designed to be iso-sweet analogues of cow's milk). With near universal recommendations from major public health authorities to reduce the intake of both ultra-processed foods and added sugars and the FDA proposing to update its "healthy" claim criteria to limit added sugars, the role of soymilk as a "healthy" non-dairy alternative to cow's milk is in serious question. The effect of soy protein on other cardiometabolic outcomes is also unclear. To address this question and better inform health claims and guideline development, the investigators will conduct a systematic review and meta-analysis of randomized controlled trials of the effect of soy protein as soy milk, in substitution for cow's milk, on various intermediate cardiometabolic mediators.

Study Overview

Status

Active, not recruiting

Intervention / Treatment

Detailed Description

RATIONALE. Soymilk and other processed soy products are at an important crossroads. Although the DGA, Health Canada, and various pediatric associations recognize fortified soymilk as the only non-dairy plant milk alternative equivalent to cow's milk and it can carry an approved health claim for coronary heart disease risk reduction based on the soy protein that it contains, soymilk is classified by the NOVA classification as an ultra-processed food (the opposite of the classification of cow's milk as an unprocessed or minimally processed food). To be an acceptable iso-sweet alternative to cow's milk, soymilk is also often sweetened with sucrose, which is designated as an added sugar, whereas the lactose that sweetens cow's milk is not (despite lactose in cow's milk being present in quantities that are double that of sucrose in soymilk products designed to be iso-sweet analogues of cow's milk). With near universal recommendations from major public health authorities to reduce the intake of both ultra-processed foods and added sugars and the FDA updating its "healthy" claim criteria to limit added sugars, the role of soymilk as a "healthy" non-dairy alternative to cow's milk is in serious question.

OBJECTIVES. The objective is to conduct a systematic review and meta-analysis of randomized controlled trials to assess the effect of soymilk in substitution for cow's milk and its modification by added sugars (sweetened versus unsweetened) on established cardiometabolic risk factors of clinical and public health importance and assess the certainty of the evidence using the Grading of Recommendations Assessment Development and Evaluation (GRADE) system.

DESIGN. The systematic review and meta-analyses will be conducted according to the Cochrane Handbook for Systematic Reviews of Interventions and reported according to the Preferred Reporting items for Systematic Reviews and Meta-Analyses (PRISMA).

DATA SOURCES. Medline, Embase, and The Cochrane Central Register of Controlled Trials (Clinical Trials; CENTRAL) will be searched using appropriate search terms supplemented by manual searches of references of included studies.

STUDY SELECTION. Randomized controlled trials of ≥3-weeks assessing the effect of soy milk in substitution for cow's milk on cardiometabolic risk factors will be included.

DATA EXTRACTION. Two or more investigators will independently extract relevant data. Authors will be contacted for additional information and any missing data will be computed/imputed using standard formulae.

RISK OF BIAS. Two or more investigators will independently assess risk of bias using the Cochrane Risk of Bias Tool 2. All disagreements will be resolved by consensus.

OUTCOMES. Outcomes will include changes in established markers of (1) adiposity (body weight, BMI, body fat, waist circumference, abdominal fat); (2) glycemic control (HbA1c, fasting plasma glucose (FPG), fasting plasma insulin (FPI), plasma glucose area under the curve (AUC), and 2h plasma glucose (2hPG)); (3) blood lipids (LDL-cholesterol, non-HDL-cholesterol, apolipoprotein B, HDL-cholesterol, triglycerides); (4) blood pressure (systolic blood pressure and diastolic blood pressure); (5) non-alcoholic fatty liver disease (NAFLD) (intrahepatocellular lipids (IHCL), alanine transaminase (ALT), aspartate aminotransferase (AST), and fatty liver index (FLI)); (6) inflammation (C-reactive protein (CRP)); (7) renal function and structure (creatinine, creatinine clearance (CrCl), glomerular filtration rate (GFR), estimated GFR (eGFR), albuminuria, albumin-to-creatinine ratio (ACR)); and (8) and uric acid.

DATA SYNTHESIS. Data will be pooled using the Generic Inverse Variance method for each outcome. As one of our primary research questions relates to the role of added sugars as a mediator in any observed differences between soy milk and cow's milk, we will stratify results by the presence of added sugars in soy milk (sweetened versus unsweetened) and assess effect modification by this variable on pooled estimates. Random effects models will be used even in the absence of statistically significant between-study heterogeneity, as they yield more conservative summary effect estimates in the presence of residual heterogeneity. Fixed-effects models will only be used where there is <5 included studies. Paired analyses will be applied for crossover design trials. Heterogeneity will be assessed (Cochran Q statistic) and quantified (I2 statistic). Sources of heterogeneity will be explored (if there are >=10 trial comparisons) by sensitivity analyses and a priori subgroup analyses (dose, comparator, follow-up, baseline levels, design, age, health status, funding and risk of bias). Meta-regression analyses will assess the significance of categorical and continuous subgroups analyses. Publication bias will be assessed (if there are >=10 trial comparisons) by inspection of funnel plots and the Egger and Begg tests. Adjustment for evidence of funnel plot asymmetry or small study effects will be conducted by the Duval and Tweedie trim-and-fill method.

GRADE ASSESSMENT. To assess the certainty of the evidence, the investigators will use the GRADE system, an evidence-based grading system adopted by >100 organizations (http://www.gradeworkinggroup.org/). It grades the evidence as high, moderate, low or very low quality based on the study design and a series of downgrades (risk of bias, imprecision, inconsistency, indirectness, publication bias) and upgrades (large magnitude of the effect, dose-response gradient, and attenuation by confounding). The investigators will follow the GRADE handbook (https://gdt.gradepro.org/app/handbook/ handbook.html) and use the GRADEpro GDT (gradepro.org) software.

ADD-ON SYNTHESIS (LACTOSE VERSUS ADDED SUGARS) To interrogate the question of the role of added sugars as a mediator of any observed effects of sweetened soymilk, we will conduct a sub-synthesis (a separate systematic review and meta-analysis of RCTs) of the effect of lactose (which is not considered an added sugar) versus added sugars (sucrose, HFCS, or fructose) irrespective of matrix (all comparisons with a matched matrix will be included). We will follow the same protocol and analysis plan as that for the main analysis.

KNOWLEDGE TRANSLATION PLAN. The investigators will follow the Ottawa model of Research for knowledge translation. The results will be disseminated through interactive presentations at local, national, and international scientific meetings and publication in high impact journals. Target audiences will include public health and clinical communities with an interest in nutrition and cardiometabolic diseases. Feedback will be incorporated and used to improve public health messages and key areas for future research will be defined. The PIs will network among opinion leaders to increase awareness and participate directly in the development of future guidelines.

SIGNIFICANCE. Both proposed projects will aid in knowledge translation related to the role of soy milk as a "healthy" non-dairy alternative to cow's milk, strengthening the evidence-base for guidelines development in the U.S., Canada, Europe, and beyond and improving health outcomes, by educating healthcare providers and patients, stimulating industry innovation, and guiding future research design.

Study Type

Observational

Enrollment (Anticipated)

1

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Ontario
      • Toronto, Ontario, Canada, M5C 2T2
        • Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Sampling Method

Probability Sample

Study Population

Adults with or without cardiovascular risk factors

Description

Inclusion Criteria:

  • Randomized controlled trials
  • Soy milk intervention
  • Cow's milk comparator
  • Intervention duration ≥ 3 weeks
  • Data for at least 1 outcome

Exclusion Criteria:

  • Non-human studies
  • Observational studies
  • Acute single-bolus feeding studies
  • Participants < 18 years of age
  • Multimodal interventions
  • Lack of suitable comparator
  • Intervention duration < 3 weeks
  • No viable outcome data

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Other
  • Time Perspectives: Other

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Soy Milk
Soy milk beverage
Soya milk or soymilk, a plant-based beverage that can be sweetened or unsweetened.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Blood lipids - LDL-Cholesterol (LDL-C)
Time Frame: Immediately after the intervention
LDL-C mean difference and 95% CIs in mmol/L
Immediately after the intervention
Blood lipids - HDL-Cholesterol (HDL-C)
Time Frame: Immediately after the intervention
HDL-C mean difference and 95% CIs in mmol/L
Immediately after the intervention
Blood lipids - Triglycerides (TG)
Time Frame: Immediately after the intervention
TG mean difference and 95% CIs in mmol/L
Immediately after the intervention
Blood lipids - non-HDL-Cholesterol (Non HDL-C)
Time Frame: Immediately after the intervention
Non-HDL-C mean difference and 95% CIs in mmol/L
Immediately after the intervention
Blood lipids - Apolipoprotein B (ApoB)
Time Frame: Immediately after the intervention
ApoB mean difference and 95% CIs in g/L
Immediately after the intervention
Glycemic control - Hemoglobin A1c (HbA1c)
Time Frame: Immediately after the intervention
HbA1c mean difference and 95% CIs in %
Immediately after the intervention
Glycemic control - fasting plasma glucose (FPG)
Time Frame: Immediately after the intervention
FPG mean difference and 95% CIs in mmol/L
Immediately after the intervention
Glycemic control - fasting plasma insulin (FPI)
Time Frame: Immediately after the intervention
FPI mean difference and 95% CIs in mmol/L
Immediately after the intervention
Glycemic control - glucose tolerance - plasma glucose area under the curve (AUC)
Time Frame: Immediately after the intervention
AUC mean difference and 95% CIs in mmol x min/l
Immediately after the intervention
Glycemic control - glucose tolerance - 2h plasma glucose (2h-PG)
Time Frame: Immediately after the intervention
2h plasma glucose (2h-PG) during a 75g oral glucose tolerance test (OGTT) in mmol/L
Immediately after the intervention
Adiposity - Body weight
Time Frame: Immediately after the intervention
Body weight mean difference and 95% CIs in kg
Immediately after the intervention
Adiposity - Body mass index (BMI)
Time Frame: Immediately after the intervention
BMI mean difference and 95% CIs in kg/m2
Immediately after the intervention
Adiposity - Body fat
Time Frame: Immediately after the intervention
Body fat mean difference and 95% CIs in %
Immediately after the intervention
Adiposity - Waist circumference
Time Frame: Immediately after the intervention
Waist circumference mean difference and 95% CIs in cm
Immediately after the intervention
Blood pressure - systolic blood pressure (SBP)
Time Frame: Immediately after the intervention
SBP mean difference and 95% CIs in mmHg
Immediately after the intervention
Blood pressure - diastolic blood pressure (DBP)
Time Frame: Immediately after the intervention
DBP mean difference and 95% CIs in mmHg
Immediately after the intervention
Markers of non-alcoholic fatty liver disease (NAFLD) - Intrahepatocellular lipids (IHCL)
Time Frame: Up to 20 years
IHCL mean difference and 95% CIs in %
Up to 20 years
Markers of non-alcoholic fatty liver disease (NAFLD) - alanine transaminase (ALT)
Time Frame: Immediately after the intervention
ALT mean difference and 95% CIs in U/L
Immediately after the intervention
Markers of non-alcoholic fatty liver disease (NAFLD) - aspartate aminotransferase (AST)
Time Frame: Immediately after the intervention
AST mean difference and 95% CIs in U/L
Immediately after the intervention
Markers of non-alcoholic fatty liver disease (NAFLD) - fatty liver index (FLI)
Time Frame: Immediately after the intervention
FLI mean difference and 95% CIs
Immediately after the intervention
Markers of inflammation - C-reactive protein (CRP)
Time Frame: Immediately after the intervention
CRP mean difference and 95% CIs in mg/dL
Immediately after the intervention
Renal function and structure - creatinine
Time Frame: Immediately after the intervention
Creatinine mean difference and 95% CIs in mcmol/L
Immediately after the intervention
Renal function and structure - creatinine clearance (CrCl)
Time Frame: Immediately after the intervention
CrCl mean difference and 95% CIs in mL/min
Immediately after the intervention
Renal function and structure - glomerular filtration rate (GFR)
Time Frame: Immediately after the intervention
GFR mean difference and 95% CIs in ml/min/1.73 m2
Immediately after the intervention
Renal function and structure - estimated GFR (eGFR)
Time Frame: Immediately after the intervention
eGFR mean difference and 95% CIs in ml/min/1.73 m2
Immediately after the intervention
Renal function and structure - albumin excretion rate (AER)
Time Frame: Immediately after the intervention
AER mean difference and 95% CIs in mg/L
Immediately after the intervention
Renal function and structure - albumin-to-creatinine ratio (ACR)
Time Frame: Immediately after the intervention
ACR mean difference and 95% CIs in mg/mmol creatinine
Immediately after the intervention
Uric acid
Time Frame: Immediately after the intervention
Uric acid in mcmol/L
Immediately after the intervention

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: John L. Sievenpiper, MD,PhD,FRCPC, University of Toronto

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Helpful Links

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

October 1, 2022

Primary Completion (Anticipated)

March 30, 2023

Study Completion (Anticipated)

October 1, 2023

Study Registration Dates

First Submitted

November 10, 2022

First Submitted That Met QC Criteria

November 28, 2022

First Posted (Actual)

December 5, 2022

Study Record Updates

Last Update Posted (Estimate)

March 6, 2023

Last Update Submitted That Met QC Criteria

March 2, 2023

Last Verified

March 1, 2023

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

There is no individual data collected. However, data from all included studies will be published in the manuscript and supplementary material

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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