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Research

Nonnutritive sweeteners and cardiometabolic health: a systematic review and meta-analysis of randomized controlled trials and prospective cohort studies

Meghan B. Azad, Ahmed M. Abou-Setta, Bhupendrasinh F. Chauhan, Rasheda Rabbani, Justin Lys, Leslie Copstein, Amrinder Mann, Maya M. Jeyaraman, Ashleigh E. Reid, Michelle Fiander, Dylan S. MacKay, Jon McGavock, Brandy Wicklow and Ryan Zarychanski
CMAJ July 17, 2017 189 (28) E929-E939; DOI: https://doi.org/10.1503/cmaj.161390
Meghan B. Azad
George & Fay Yee Centre for Healthcare Innovation (Azad, Abou-Setta, Chauhan, Rabbani, Lys, Copstein, Mann, Jeyaraman, Fiander, Zarychanski); Children’s Hospital Research Institute of Manitoba (Azad, Chauhan, McGavock, Wicklow); Department of Pediatrics and Child Health (Azad, McGavock, Wicklow); Department of Community Health Sciences (Abou-Setta); College of Pharmacy (Chauhan); Max Rady College of Medicine (Reid); Department of Human Nutritional Sciences (Azad, MacKay); Department of Internal Medicine (Zarychanski), University of Manitoba; Department of Hematology and Medical Oncology, CancerCare Manitoba (Zarychan-ski), Winnipeg, Man.
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  • For correspondence: meghan.azad@umanitoba.ca
Ahmed M. Abou-Setta
George & Fay Yee Centre for Healthcare Innovation (Azad, Abou-Setta, Chauhan, Rabbani, Lys, Copstein, Mann, Jeyaraman, Fiander, Zarychanski); Children’s Hospital Research Institute of Manitoba (Azad, Chauhan, McGavock, Wicklow); Department of Pediatrics and Child Health (Azad, McGavock, Wicklow); Department of Community Health Sciences (Abou-Setta); College of Pharmacy (Chauhan); Max Rady College of Medicine (Reid); Department of Human Nutritional Sciences (Azad, MacKay); Department of Internal Medicine (Zarychanski), University of Manitoba; Department of Hematology and Medical Oncology, CancerCare Manitoba (Zarychan-ski), Winnipeg, Man.
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Bhupendrasinh F. Chauhan
George & Fay Yee Centre for Healthcare Innovation (Azad, Abou-Setta, Chauhan, Rabbani, Lys, Copstein, Mann, Jeyaraman, Fiander, Zarychanski); Children’s Hospital Research Institute of Manitoba (Azad, Chauhan, McGavock, Wicklow); Department of Pediatrics and Child Health (Azad, McGavock, Wicklow); Department of Community Health Sciences (Abou-Setta); College of Pharmacy (Chauhan); Max Rady College of Medicine (Reid); Department of Human Nutritional Sciences (Azad, MacKay); Department of Internal Medicine (Zarychanski), University of Manitoba; Department of Hematology and Medical Oncology, CancerCare Manitoba (Zarychan-ski), Winnipeg, Man.
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Rasheda Rabbani
George & Fay Yee Centre for Healthcare Innovation (Azad, Abou-Setta, Chauhan, Rabbani, Lys, Copstein, Mann, Jeyaraman, Fiander, Zarychanski); Children’s Hospital Research Institute of Manitoba (Azad, Chauhan, McGavock, Wicklow); Department of Pediatrics and Child Health (Azad, McGavock, Wicklow); Department of Community Health Sciences (Abou-Setta); College of Pharmacy (Chauhan); Max Rady College of Medicine (Reid); Department of Human Nutritional Sciences (Azad, MacKay); Department of Internal Medicine (Zarychanski), University of Manitoba; Department of Hematology and Medical Oncology, CancerCare Manitoba (Zarychan-ski), Winnipeg, Man.
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Justin Lys
George & Fay Yee Centre for Healthcare Innovation (Azad, Abou-Setta, Chauhan, Rabbani, Lys, Copstein, Mann, Jeyaraman, Fiander, Zarychanski); Children’s Hospital Research Institute of Manitoba (Azad, Chauhan, McGavock, Wicklow); Department of Pediatrics and Child Health (Azad, McGavock, Wicklow); Department of Community Health Sciences (Abou-Setta); College of Pharmacy (Chauhan); Max Rady College of Medicine (Reid); Department of Human Nutritional Sciences (Azad, MacKay); Department of Internal Medicine (Zarychanski), University of Manitoba; Department of Hematology and Medical Oncology, CancerCare Manitoba (Zarychan-ski), Winnipeg, Man.
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Leslie Copstein
George & Fay Yee Centre for Healthcare Innovation (Azad, Abou-Setta, Chauhan, Rabbani, Lys, Copstein, Mann, Jeyaraman, Fiander, Zarychanski); Children’s Hospital Research Institute of Manitoba (Azad, Chauhan, McGavock, Wicklow); Department of Pediatrics and Child Health (Azad, McGavock, Wicklow); Department of Community Health Sciences (Abou-Setta); College of Pharmacy (Chauhan); Max Rady College of Medicine (Reid); Department of Human Nutritional Sciences (Azad, MacKay); Department of Internal Medicine (Zarychanski), University of Manitoba; Department of Hematology and Medical Oncology, CancerCare Manitoba (Zarychan-ski), Winnipeg, Man.
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Amrinder Mann
George & Fay Yee Centre for Healthcare Innovation (Azad, Abou-Setta, Chauhan, Rabbani, Lys, Copstein, Mann, Jeyaraman, Fiander, Zarychanski); Children’s Hospital Research Institute of Manitoba (Azad, Chauhan, McGavock, Wicklow); Department of Pediatrics and Child Health (Azad, McGavock, Wicklow); Department of Community Health Sciences (Abou-Setta); College of Pharmacy (Chauhan); Max Rady College of Medicine (Reid); Department of Human Nutritional Sciences (Azad, MacKay); Department of Internal Medicine (Zarychanski), University of Manitoba; Department of Hematology and Medical Oncology, CancerCare Manitoba (Zarychan-ski), Winnipeg, Man.
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Maya M. Jeyaraman
George & Fay Yee Centre for Healthcare Innovation (Azad, Abou-Setta, Chauhan, Rabbani, Lys, Copstein, Mann, Jeyaraman, Fiander, Zarychanski); Children’s Hospital Research Institute of Manitoba (Azad, Chauhan, McGavock, Wicklow); Department of Pediatrics and Child Health (Azad, McGavock, Wicklow); Department of Community Health Sciences (Abou-Setta); College of Pharmacy (Chauhan); Max Rady College of Medicine (Reid); Department of Human Nutritional Sciences (Azad, MacKay); Department of Internal Medicine (Zarychanski), University of Manitoba; Department of Hematology and Medical Oncology, CancerCare Manitoba (Zarychan-ski), Winnipeg, Man.
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Ashleigh E. Reid
George & Fay Yee Centre for Healthcare Innovation (Azad, Abou-Setta, Chauhan, Rabbani, Lys, Copstein, Mann, Jeyaraman, Fiander, Zarychanski); Children’s Hospital Research Institute of Manitoba (Azad, Chauhan, McGavock, Wicklow); Department of Pediatrics and Child Health (Azad, McGavock, Wicklow); Department of Community Health Sciences (Abou-Setta); College of Pharmacy (Chauhan); Max Rady College of Medicine (Reid); Department of Human Nutritional Sciences (Azad, MacKay); Department of Internal Medicine (Zarychanski), University of Manitoba; Department of Hematology and Medical Oncology, CancerCare Manitoba (Zarychan-ski), Winnipeg, Man.
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Michelle Fiander
George & Fay Yee Centre for Healthcare Innovation (Azad, Abou-Setta, Chauhan, Rabbani, Lys, Copstein, Mann, Jeyaraman, Fiander, Zarychanski); Children’s Hospital Research Institute of Manitoba (Azad, Chauhan, McGavock, Wicklow); Department of Pediatrics and Child Health (Azad, McGavock, Wicklow); Department of Community Health Sciences (Abou-Setta); College of Pharmacy (Chauhan); Max Rady College of Medicine (Reid); Department of Human Nutritional Sciences (Azad, MacKay); Department of Internal Medicine (Zarychanski), University of Manitoba; Department of Hematology and Medical Oncology, CancerCare Manitoba (Zarychan-ski), Winnipeg, Man.
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Dylan S. MacKay
George & Fay Yee Centre for Healthcare Innovation (Azad, Abou-Setta, Chauhan, Rabbani, Lys, Copstein, Mann, Jeyaraman, Fiander, Zarychanski); Children’s Hospital Research Institute of Manitoba (Azad, Chauhan, McGavock, Wicklow); Department of Pediatrics and Child Health (Azad, McGavock, Wicklow); Department of Community Health Sciences (Abou-Setta); College of Pharmacy (Chauhan); Max Rady College of Medicine (Reid); Department of Human Nutritional Sciences (Azad, MacKay); Department of Internal Medicine (Zarychanski), University of Manitoba; Department of Hematology and Medical Oncology, CancerCare Manitoba (Zarychan-ski), Winnipeg, Man.
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Jon McGavock
George & Fay Yee Centre for Healthcare Innovation (Azad, Abou-Setta, Chauhan, Rabbani, Lys, Copstein, Mann, Jeyaraman, Fiander, Zarychanski); Children’s Hospital Research Institute of Manitoba (Azad, Chauhan, McGavock, Wicklow); Department of Pediatrics and Child Health (Azad, McGavock, Wicklow); Department of Community Health Sciences (Abou-Setta); College of Pharmacy (Chauhan); Max Rady College of Medicine (Reid); Department of Human Nutritional Sciences (Azad, MacKay); Department of Internal Medicine (Zarychanski), University of Manitoba; Department of Hematology and Medical Oncology, CancerCare Manitoba (Zarychan-ski), Winnipeg, Man.
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Brandy Wicklow
George & Fay Yee Centre for Healthcare Innovation (Azad, Abou-Setta, Chauhan, Rabbani, Lys, Copstein, Mann, Jeyaraman, Fiander, Zarychanski); Children’s Hospital Research Institute of Manitoba (Azad, Chauhan, McGavock, Wicklow); Department of Pediatrics and Child Health (Azad, McGavock, Wicklow); Department of Community Health Sciences (Abou-Setta); College of Pharmacy (Chauhan); Max Rady College of Medicine (Reid); Department of Human Nutritional Sciences (Azad, MacKay); Department of Internal Medicine (Zarychanski), University of Manitoba; Department of Hematology and Medical Oncology, CancerCare Manitoba (Zarychan-ski), Winnipeg, Man.
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Ryan Zarychanski
George & Fay Yee Centre for Healthcare Innovation (Azad, Abou-Setta, Chauhan, Rabbani, Lys, Copstein, Mann, Jeyaraman, Fiander, Zarychanski); Children’s Hospital Research Institute of Manitoba (Azad, Chauhan, McGavock, Wicklow); Department of Pediatrics and Child Health (Azad, McGavock, Wicklow); Department of Community Health Sciences (Abou-Setta); College of Pharmacy (Chauhan); Max Rady College of Medicine (Reid); Department of Human Nutritional Sciences (Azad, MacKay); Department of Internal Medicine (Zarychanski), University of Manitoba; Department of Hematology and Medical Oncology, CancerCare Manitoba (Zarychan-ski), Winnipeg, Man.
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  • Figure 1:
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    Figure 1:

    RISMA flow diagram. NNS = nonnutritive sweetener, RCT = randomized controlled trial. *Companion studies included abstracts, trial registrations and earlier reports from included studies.

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    Figure 2:

    Forest plots of consumption of NNS and selected cardiometabolic health outcomes. (A) Differences in mean BMI between NNS consumption and control groups for RCTs. A value less than 0 represents reduced BMI with NNS consumption. (B) Correlaton of BMI change per unit of NNS intake for cohort studies. A value less than 0 represents a reduced BMI. (C) Standard mean differences in weight between NNS consumption and control groups for RCTs. A value less than 0.0 represents weight loss. (D) Correlation of weight change per unit NNS intake for cohort studies. A value less than 0 favours weight loss. (E) Incidence of type 2 diabetes for highest versus lowest quantiles of NNS intake in cohort studies. A value less than 1.0 represents a lower risk of type 2 diabetes. Additional outcomes are shown in Table 3, and Appendix 1, Figures S1–4. Squares represent effect estimates within each study, with 95% CIs represented by horizontal lines. Square size is proportional to the weight of each study. Diamonds represent the weighted mean effect estimates. Cohort acronyms are defined in Table 2. Note: BMI = body mass index, CI = confidence interval, MD = mean difference, NNS = nonnutritive sweetener, RCT = randomized controlled trial, RR = risk ratio, SD = standard deviation, SE = standard error, SMD = standardized mean difference.

Tables

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    Table 1:

    Randomized controlled trials that evaluated nonnutritive sweetener interventions and long-term cardiometabolic health

    Study,* countryNo. of participants randomly assigned (%completed)SexPopulationAge, mean ± SD; yrBMI, mean ± SD; kg/m2Duration, moType and source of NNSDaily dose of NNSComparator(s)OutcomesRisk of bias†
    BMIWeightWaistBody fatHOMA-IR
    Blackburn et al. 1997,38 USA163 (53)FObese, on weight-loss program44 ± 1037 ± 516Aspartame ASB, packets, foodstuffsParticipants’ discretionAspartame avoidance•High
    Hsieh et al. 2003,36 China174 (97)M, FMild hypertension52 ± 723 ± 324Stevioside capsules1500 mgPlacebo•Low
    Ferri et al. 2006,37 Brazil14 (86)M, FMild hypertension45 ± 727 ± 36Stevioside capsules3 phases: 3.8, 7.5, 15.0 mg/kgPlacebo••Unclear
    Tate et al. 2012,34 USA213 (86)M, FOverweight, on weight-loss program42 ± 1136 ± 66Unspecified ASBRecommended ≥ 2 servingsWater, attention control‡••High
    Maersk et al. 2012,35 Denmark33 (76)M, FOverweight39 ± 833 ± 46Aspartame ASB1 L of diet colaWater•••High
    Peters et al. 2016,19 USA308 (72)M, FOverweight, on weight-loss program48 ± 1134 ± 412Unspecified ASBAt least 710 mLWater with ASB avoidance••High
    Madjd et al. 2015,20 Iran71 (87)FOverweight, on weight-loss program32 ± 734 ± 36Unspecified ASB250 mLWater••••High
    • Note: ASB = artificially sweetened beverage, BMI = body mass index, F = female, HOMA-IR = homeostatic model assessment for insulin resistance, M = male, NNS = nonnutritive sweetener, SD = standard deviation.

    • ↵* Sorted by year of publication.

    • ↵† Risk of bias was assessed using the Cochrane Risk of Bias tool.30 See Appendix 1, Table S3 for detailed risk of bias results for quality assessment.

    • ↵‡ Data from multiple comparator groups were combined.

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    Table 2:

    Prospective cohort studies evaluating intake of nonnutritive sweetener and long-term cardiometabolic health

    Study*CohortCountry, year of baseline NNS intakeNo. of participantsSexAge at baseline, mean ± SD, or range; yrBMI at baseline, mean ± SD, or % OW; kg/m2Follow-up, yrType or source of NNSExtreme NNS intake categories, servings†Measure of continuous NNS intakeOutcome
    BMIWeightOverweight/obesityMetabolic syndromeType 2 diabetesHypertensionOtherQuality score‡
    Lutsey et al. 200854ARICUSA, 19879154M, F54 ± 6–9AS sodaExtreme tertiles–•8
    Bomback et al. 201043ARICUSA, 198714 002M, F54 ± 628 ± 59AS soda> 1/d v. < 1/d–CKD9
    Palmer et al. 200855BWHSUSA, 200143 960F38 ± 1028 ± 74AS soda≥ 1/d v. < 1/mo–•6
    Duffey et al. 201248CARDIAUSA, 19863728M, F25 ± 2625 ± 520ASBNone v. any–••IGT8
    Haines et al. 200759EATUSA, 19982516M, F15 ± 211% OW5AS soda–serving/d•7
    Lana et al. 2015§22ENRICASpain, 20082030M, F18–6026 ± 54AS soda≥ 1/d v. < 1/wk–•9
    Fagherazzi et al. 2013¶49EPIC-E3NFrance, 199366 118F53 ± 719% OW17ASB> 603 mL/wk v. never–•8
    O’Connor et al. 2015¶24EPIC-NorfolkUK, 199324 653M, F58 ± 926 ± 411ASB≥ 169 mL/d v. noneserving/d•8
    Dhingra et al. 200747FOSUSA, 19921864M, F55 ± 1027 ± 54AS soda1/d v. < 1/wk–•9
    Field et al. 201414GUTS IIUSA, 20047559M, F13 ± 220 ± 33AS soda–serving/d•6
    Bernstein et al. 201240HPFSUSA, 198643 371M62 ± 1126 ± 322AS soda≥ 1/d v. noneserving/dStroke8
    Bhupathiraju et al. 2013**42HPFSUSA, 198639 059M53 ± 1025 ± 522AS soda≥ 1/d v. < 1/moserving/d•7
    Cohen et al. 201245HPFSUSA, 198637 360M40–7525 ± 322ASB≥ 1/d v. < 1/mo–•8
    de Koning et al. 201246HPFSUSA, 198642 883M40–7526 ± 322ASB> 4/wk v. noneserving/dCHD8
    Smith et al. 201521HPFSUSA, 198621 472M47 ± 625 ± 124AS soda–serving/d•6
    Gearon et al. 2014§15MCCSAustralia, 199013 697M, F55 ± 926 ± 413AS soda–serving/wk•8
    Nettleton et al. 200960MESAUSA, 20005011M, F62 ± 1128 ± 65AS soda≥ 1/d v. rare or never–•••Waist6
    Fung et al. 200951NHS IUSA, 198088 520F34–5924 ± 224AS soda≥ 2/d v. < 1/mo–CHD8
    Bernstein et al. 201240NHS IUSA, 198084 085F58 ± 1026 ± 528AS soda≥ 1/d v. noneserving/dStroke8
    Bhupathiraju et al. 201342NHS IUSA, 198474 749F50 ± 725 ± 524AS soda≥ 1/d v. < 1/moserving/d•7
    Cohen et al. 2012††45NHS IUSA, 198088 540F34–5923 ± 338ASB≥ 1/d v. < 1/mo–•8
    Smith et al. 2015‡‡21NHS IUSA, 198648 449F49 ± 624 ± 124AS soda–serving/d•6
    Pan et al. 2012§§56NHS IIUSA, 199182 902F36 ± 524 ± 518ASB≥ 4/d v. ≤ 1/wkserving/d•7
    Chen et al. 200944NHS IIUSA, 199113 475F32 ± 323 ± 410ASB≥ 5/wk v. ≤ 3/moserving/dGDM8
    Cohen et al. 2012††45NHS IIUSA, 199197 991F27–4223 ± 416ASB≥ 1/d v. < 1/mo–•8
    Smith et al. 201521NHS IIUSA, 199148 071F38 ± 423 ± 216AS soda–serving/d•6
    Gardener et al. 201252NOMASUSA, 19932564M, F69 ± 1028 ± 610AS soda≥ 1/d v. < 1/moserving/wkCVD7
    Parker et al. 199757PHHPUSA, 1986465M, F47 ± 1427 ± 54Saccharin–log g/d•9
    Fowler et al. 200850SAHSUSA, 19793371M, F44 ± 1127 ± 68ASB≥ 22/wk v. none–••7
    Fowler et al. 2015¶¶18SALSAUSA, 1992384M, F70 ± 328 ± 59AS soda≥ 1/d v. none–Waist5
    Sakurai et al. 201316–Japan, 20032037M46 ± 623 ± 37AS soda≥ 1/wk v. none–•8
    Barrio-Lopez et al. 2013§39SUNSpain, 19998157M, F36 ± 1123 ± 36AS sodaExtreme quintiles–•7
    Bes-Rastrollo et al. 2006§41SUNSpain, 19997194M, F37 ± 12–2AS sodaExtreme quintiles–Gain > 1 kg8
    Renault et al. 201523TOPDenmark, 2009347F31 ± 434 ± 40.8AS soda≥ 1/d v. none–GWG7
    Vyas et al. 201517WHIUSA, 199359 614F63 ± 759% OW9ASB≥ 2/d v. ≤ 3/mo–CVD6
    Stinson et al. 201358WHIUSA, 199662 082F50–9–9–14ASB> 3/d v. < 3/mo–•6
    • Note: ARIC = Atherosclerosis Risk in Communities, AS soda = artificially sweetened soda (soft drinks), ASB = artificially sweetened beverages (including sodas and other beverages such as coffee or tea), BMI = body mass index, BWHS = Black Women’s Health Study, CARDIA = Coronary Artery Risk Development in Young Adults, CHD = coronary heart disease, CKD = chronic kidney disease, CVD = cardiovascular disease, E3N = Etude Epidemiologique aupres des femmes de la mutuelle generale de l’Education Nationale, EAT = Eating Among Teens, ENRICA = Study on Nutrition and Cardiovascular Risk in Spain, EPIC = European Prospective Investigation into Cancer and Nutrition, FOS = Framingham Offspring Study, F = female, GDM = gestational diabetes mellitus, GWG = gestational weight gain, GUTS II = Growing Up Today Study II, HPFS = Health Professionals Follow-Up Study, HOMA-IR = homeostatic model assessment for insulin resistance, IGT = impaired glucose tolerance, IQR = interquartile range, M = male, MCCS = Melbourne Collaborative Cohort Study, MESA = Multi-Ethnic Study of Atherosclerosis, NHS = Nurses’ Health Study, NOMAS = Northern Manhattan Study, NNS = nonnutritive sweetener, OW = overweight, PHHP = Pawtucket Heart Health Program, SAHS = San Antonio Heart Study, SALSA = San Antonio Longitudinal Study of Aging, SD = standard deviation, SUN = Seguimiento Universidad de Navarra, TOP = Treatment of Obese Pregnant Women, WHI = Women’s Health Initiative.

    • ↵* Sorted by cohort name. In some cases, different outcomes from a single cohort are reported in separate studies. Where multiple cohorts are reported in a single study, characteristics are reported per cohort rather than per study.

    • ↵† Unless otherwise specified.

    • ↵‡ Study quality was assessed using the Newcastle–Ottawa Scale;31 maximum score = 9. See Appendix 1, Table S5 for detailed quality assessment results.

    • ↵§ Unpublished data provided by study authors.

    • ↵¶ Excluded study InterAct 201353 reports overlapping data from the international EPIC study.

    • ↵** Excluded study de Koning et al. 201161 reports earlier type 2 diabetes data from this cohort.

    • ↵†† Excluded study Winkelmayer et al. 200562 reports earlier hypertension data from this cohort.

    • ↵‡‡ Excluded study Colditz et al. 199063 reports earlier weight data from this cohort.

    • ↵§§ Excluded study Schulze et al. 200464 reports earlier type 2 diabetes data from this cohort.

    • ↵¶¶ Body mass index data from this study were not reviewed because the SALSA cohort was recruited from the SAHS cohort, reported in Fowler et al. 2008.50

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    Table 3:

    Results from meta-analyses (where possible) or individual studies for intake of nonnutritive sweeteners and long-term cardiometabolic health outcomes in randomized controlled trials and cohort studies

    Outcome: change or incidenceNo. of studies* (participants)ComparisonEstimate of NNS effect (95% CI) from meta-analysis or individual studiesAssoc.Citation(s)*Figure
    Randomized controlled trials
    BMI3 (242)NNS v. controlMD −0.37 kg/m2 (−1.10 to 0.36), I2 9%NS20, 36, 372
    Weight5 (791)NNS v. controlSMD −0.17 (−0.54 to 0.21), I2 81%NS19, 20, 34, 35, 382
    Percentage of fat mass1 (25)NNS v. controlMD −1.01% (−3.01 to 0.99)NS35–
    Waist circumference3 (683)NNS v. controlSMD −0.16 (−0.56 to 0.25), I2 83%NS19, 20, 34S1‡
    Insulin resistance: HOMA-IR3 (99)NNS v. controlSMD +0.10 (−0.57 to 0.76), I2 55%NS20, 35, 37S3‡
    HbA1c1 (62)NNS v. controlMD +0.07% (−0.00 to 0.14)NS20–
    Cohort studies
    BMI2 (21 256)Continuous correlationWMC +0.05 (0.03 to 0.06), I2 0%↑ Gain14, 152
    1 (3371)Highest NNS intake quantile v. noneMD +0.77 kg/m2 (0.47 to 1.07)↑ Gain50–
    Weight4 (32 405)Continuous correlationWMC +0.06 (0.05 to 0.07), I2 46%↑ Gain21, 572
    Gestational weight gain1 (347)Highest v. lowest NNS intake quantileMD +2.5 kg (0.5 to 4.5)↑ Gain23–
    Weight gain > 1 kg1 (7,194)Highest v. lowest NNS intake quantileOR 1.05 (0.93 to 1.19)NS41–
    Waist circumference1 (384)Daily v. no NNS consumptionMD +2.27 cm (0.96 to 3.58)↑ Gain18–
    Incident abdominal obesity1 (5011)Highest v. lowest NNS intake quantileHR 1.59 (1.23 to 2.07)↑ Gain60
    Incident overweight/obesity3 (7917)Highest v. lowest NNS intake quantileOR 1.84 (1.28 to 2.66), I2 0%↑ Risk22, 50, 59S1‡
    Metabolic syndrome5 (27 914)Highest v. lowest NNS intake quantileRR 1.31 (1.23 to 1.40), I2 0%↑ Risk39, 47, 48, 54, 60S2‡
    Type 2 diabetes4 (221 363)Per daily serving of NNSRR 1.03 (1.01 to 1.05), I2 0%↑ Risk24, 42, 56S2‡
    9 (400 571)Highest v. lowest NNS intake quantileRR 1.14 (1.05 to 1.25), I2 52%↑ Risk16, 24, 42, 49, 55, 56, 58, 602
    Gestational diabetes1 (13 475)Highest v. lowest NNS intake quantileRR 0.87 (0.71 to 1.02)NS44–
    Impaired glucose tolerance1 (3728)No v. any NNS consumptionHR 1.07 (0.91 to 1.26)NS48–
    Hypertension5 (232 630)Highest v. lowest NNS intake quantileHR 1.12 (1.08 to 1.13), I2 53%↑ Risk45, 48, 60S4‡
    Stroke2 (128 176)Highest v. lowest NNS intake quantileRR 1.14 (1.04 to 1.26), I2 0%↑ Risk40S4‡
    Cardiovascular events†2 (62 178)Highest v. lowest NNS intake quantileRR 1.32 (1.15 to 1.52), I2 0%↑ Risk17, 52S4‡
    Coronary heart disease2 (131 403)Highest v. lowest NNS intake quantileRR 0.98 (0.90 to 1.07), I2 0%NS46, 51S4‡
    Chronic kidney disease1 (14 002)Highest v. lowest NNS intake quantileOR 0.80 (0.64 to 1.00)NS43–
    • Note: BMI = body mass index, CI = confidence interval, HbA1c = glycosylated hemoglobin, HOMA-IR = homeostatic model assessment for insulin resistance, HR = hazard ratio, MD = mean difference, NNS = nonnutrititve sweetener, NS = not significant, OR = odds ratio, RR = risk ratio, SMD = standardized mean difference, WMC = weighted mean group correlation (unitless).

    • ↵* Number of studies does not always equal the number of citations, because some citations report results from multiple studies.

    • ↵† Defined by the study authors as coronary heart disease, heart failure, myocardial infarction, coronary revascularization procedure, ischemic stroke, peripheral arterial disease and cardiovascular death;17 or stroke, myocardial infarction and vascular death.52

    • ↵‡ Appendix 1, available at www.cmaj.ca/lookup/suppl/doi:10.1503/cmaj.161390/-/DC1.

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Canadian Medical Association Journal: 189 (28)
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Vol. 189, Issue 28
17 Jul 2017
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Nonnutritive sweeteners and cardiometabolic health: a systematic review and meta-analysis of randomized controlled trials and prospective cohort studies
Meghan B. Azad, Ahmed M. Abou-Setta, Bhupendrasinh F. Chauhan, Rasheda Rabbani, Justin Lys, Leslie Copstein, Amrinder Mann, Maya M. Jeyaraman, Ashleigh E. Reid, Michelle Fiander, Dylan S. MacKay, Jon McGavock, Brandy Wicklow, Ryan Zarychanski
CMAJ Jul 2017, 189 (28) E929-E939; DOI: 10.1503/cmaj.161390

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Nonnutritive sweeteners and cardiometabolic health: a systematic review and meta-analysis of randomized controlled trials and prospective cohort studies
Meghan B. Azad, Ahmed M. Abou-Setta, Bhupendrasinh F. Chauhan, Rasheda Rabbani, Justin Lys, Leslie Copstein, Amrinder Mann, Maya M. Jeyaraman, Ashleigh E. Reid, Michelle Fiander, Dylan S. MacKay, Jon McGavock, Brandy Wicklow, Ryan Zarychanski
CMAJ Jul 2017, 189 (28) E929-E939; DOI: 10.1503/cmaj.161390
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