nach oben

Erschienen in:

05.02.2019 | Original Contribution

Relationship between sensory liking for fat, sweet or salt and cardiometabolic diseases: mediating effects of diet and weight status

verfasst von: Aurélie Lampuré, Solia Adriouch, Katia Castetbon, Amélie Deglaire, Pascal Schlich, Sandrine Péneau, Léopold Fezeu, Serge Hercberg, Caroline Méjean

Erschienen in: European Journal of Nutrition | Ausgabe 1/2020

Einloggen, um Zugang zu erhalten

Abstract

Purpose

Previous works have been suggested that individual sensory liking is a predictor of dietary intake and weight status, and may consequently influence development of cardiometabolic diseases (CMDs). We investigated the association between sensory liking for fat-and-salt, fat-and-sweet, sweet or salt and the onset of hypertension, diabetes and cardiovascular diseases (CVDs) over 6 years in adults, and the mediating effects of dietary intake and body mass index (BMI).

Methods

We examined the CMDs risk among 41,332 (for CVD and diabetes) and 37,936 (for hypertension) French adults (NutriNet-Santé cohort). Liking scores, individual characteristics, diet and anthropometry were assessed at baseline using questionnaires. Health events were collected during 6 years. Associations between sensory liking and CMDs risk, and the mediating effect of diet and BMI, were assessed using Cox proportional hazards models.

Results

Sensory liking for fat-and-salt was associated with an increased risk of diabetes, hypertension and CVD [hazard ratios (HR) for 1-point increment of the sensory score: HR 1.30 (95% CI 1.18, 1.43), HR 1.08 (1.04, 1.13) and HR 1.10 (1.02, 1.19), respectively]. BMI and dietary intake both explained 93%, 98% and 70%, of the overall variation of liking for fat-and-salt liking in diabetes, hypertension and CVD, respectively. Liking for fat-and-sweet and liking for salt were also associated with an increased risk of diabetes [HR 1.09 (1.01, 1.17) and HR 1.09 (1.01, 1.18), respectively], whereas liking for sweet was associated with a decreased risk [HR 0.76 (0.69, 0.84)].

Conclusions

Higher liking for fat-and-salt is significantly associated with CMDs risk, largely explained by dietary intake and BMI. Our findings may help to guide effective targeted measures in prevention.

Nur mit Berechtigung zugänglich

Hossain P, Kawar B, El Nahas M (2007) Obesity and diabetes in the developing world—a growing challenge. N Engl J Med 356(3):213–215. https://doi.org/10.1056/NEJMp068177 CrossRefPubMed

Organization WH (2003) Diet, nutrition and the prevention of chronic diseases. Joint WHO/FAO expert consultation. WHO, Geneva

Li X-Y, Cai X-L, Bian P-D, Hu L-R (2012) High salt intake and stroke: meta-analysis of the epidemiologic evidence. CNS Neurosci Ther 18(8):691–701. https://doi.org/10.1111/j.1755-5949.2012.00355.x CrossRefPubMedPubMedCentral

Schwingshackl L, Schwedhelm C, Hoffmann G, Lampousi AM, Knuppel S, Iqbal K, Bechthold A, Schlesinger S, Boeing H (2017) Food groups and risk of all-cause mortality: a systematic review and meta-analysis of prospective studies. Am J Clin Nutr 105(6):1462–1473. https://doi.org/10.3945/ajcn.117.153148 CrossRef

Mozaffarian D (2016) Dietary and policy priorities for cardiovascular disease, diabetes, and obesity. Compr Rev Circ 133(2):187–225. https://doi.org/10.1161/CIRCULATIONAHA.115.018585 CrossRef

Kershaw JC, Mattes RD (2018) Nutrition and taste and smell dysfunction. World J Otorhinolaryngol Head Neck Surg 4(1):3–10. https://doi.org/10.1016/j.wjorl.2018.02.006(e-pub ahead of print 2018/07/24) CrossRefPubMedPubMedCentral

Mejean C, Deglaire A, Kesse-Guyot E, Hercberg S, Schlich P, Castetbon K (2014) Association between intake of nutrients and food groups and liking for fat (The Nutrinet-Sante Study). Appetite 78:147–155. https://doi.org/10.1016/j.appet.2014.03.017 CrossRefPubMed

Nagata C, Sugiyama C, Shimizu H (1999) Nutrient intakes in relation to style of breakfast and taste preferences. J Epidemiol 9(2):91–98 (e-pub ahead of print 1999/05/25) CrossRef

Drewnowski A, Hann C, Henderson SA, Gorenflo D (2000) Both food preferences and food frequency scores predict fat intakes of women with breast cancer. J Am Diet Assoc 100(11):1325–1333. https://doi.org/10.1016/S0002-8223(00)00375-8 CrossRefPubMed

10.

Lampure A, Castetbon K, Deglaire A, Schlich P, Peneau S, Hercberg S, Mejean C (2016) Associations between liking for fat, sweet or salt and obesity risk in French adults: a prospective cohort study. Int J Behav Nutr Phys Act 13:74. https://doi.org/10.1186/s12966-016-0406-6 CrossRefPubMedPubMedCentral

11.

Cox DN, Hendrie GA, Carty D (2016) Sensitivity, hedonics and preferences for basic tastes and fat amongst adults and children of differing weight status: a comprehensive review. Food Qual Prefer 48:359–367. https://doi.org/10.1016/j.foodqual.2015.01.006 CrossRef

12.

Salbe AD, DelParigi A, Pratley RE, Drewnowski A, Tataranni PA (2004) Taste preferences and body weight changes in an obesity-prone population. Am J Clin Nutr 79(3):372–378CrossRef

13.

Duffy VB, Hayes JE, Sullivan BS, Faghri P (2009) Surveying food and beverage liking: a tool for epidemiological studies to connect chemosensation with health outcomes. Ann N Y Acad Sci 1170:558–568. https://doi.org/10.1111/j.1749-6632.2009.04593.x CrossRefPubMed

14.

Duffy VB, Lanier SA, Hutchins HL, Pescatello LS, Johnson MK, Bartoshuk LM (2007) Food preference questionnaire as a screening tool for assessing dietary risk of cardiovascular disease within health risk appraisals. J Am Diet Assoc 107(2):237–245. https://doi.org/10.1016/j.jada.2006.11.005 CrossRefPubMed

15.

Ikehara S, Iso H, Date C, Kikuchi S, Watanabe Y, Inaba Y, Tamakoshi A, Group JS (2012) Salt preference and mortality from stroke and coronary heart disease for Japanese men and women: the JACC study. Prev Med 54(1):32–37. https://doi.org/10.1016/j.ypmed.2011.10.013 CrossRefPubMed

16.

Hercberg S, Castetbon K, Czernichow S, Malon A, Mejean C, Kesse E, Touvier M, Galan P (2010) The Nutrinet-Sante Study: a web-based prospective study on the relationship between nutrition and health and determinants of dietary patterns and nutritional status. BMC Public Health 10:242. https://doi.org/10.1186/1471-2458-10-242 CrossRefPubMedPubMedCentral

17.

Andreeva VA, Salanave B, Castetbon K, Deschamps V, Vernay M, Kesse-Guyot E, Hercberg S (2015) Comparison of the sociodemographic characteristics of the large NutriNet-Sante e-cohort with French Census data: the issue of volunteer bias revisited. J Epidemiol Community Health 69(9):893–898. https://doi.org/10.1136/jech-2014-205263(e-pub ahead of print 2015/04/03) CrossRefPubMed

18.

Deglaire A, Méjean C, Castetbon K, Kesse-Guyot E, Urbano C, Hercberg S, Schlich P (2012) Development of a questionnaire to assay recalled liking for salt, sweet and fat. Food Qual Prefer 23(2):110–124. https://doi.org/10.1016/j.foodqual.2011.08.006 CrossRef

19.

Urbano C, Deglaire A, Cartier-Lange E, Herbreteau V, Cordelle S, Schlich P (2016) Development of a sensory tool to assess overall liking for the fatty, salty and sweet sensations. Food Quality Prefer 48:23–32. https://doi.org/10.1016/j.foodqual.2015.08.003 CrossRef

20.

Deglaire A, Urbano C, Mejean C, Hercberg S, Schlich P (2011) Measuring liking for sweet, salt and fat by questionnaire and sensory test: complementary approaches. In: 9th Pangborn sensory science symposium (unplublished work)

21.

Touvier M, Kesse-Guyot E, Mejean C, Pollet C, Malon A, Castetbon K, Hercberg S (2011) Comparison between an interactive web-based self-administered 24 h dietary record and an interview by a dietitian for large-scale epidemiological studies. Br J Nutr 105(7):1055–1064. https://doi.org/10.1017/S0007114510004617 CrossRefPubMed

22.

Lassale C, Castetbon K, Laporte F, Camilleri GM, Deschamps V, Vernay M, Faure P, Hercberg S, Galan P et al (2015) Validation of a Web-based, self-administered, non-consecutive-day dietary record tool against urinary biomarkers. Br J Nutr 113(6):953–962. https://doi.org/10.1017/S0007114515000057 CrossRefPubMed

23.

Lassale C, Castetbon K, Laporte F, Deschamps V, Vernay M, Camilleri GM, Faure P, Hercberg S, Galan P et al (2016) Correlations between fruit, vegetables, fish, vitamins, and fatty acids estimated by web-based nonconsecutive dietary records and respective biomarkers of nutritional status. J Acad Nutr Diet 116(3):427–438 e425. https://doi.org/10.1016/j.jand.2015.09.017 CrossRefPubMed

24.

Le Moullec ND, Preziosi M, Monteiro P, Valeix P, Rolland-Cachera P, Potier MF, de Courcy G, Christides JP, Cherouvrier F, Galan P, Hercberg S (1996) Validation du manuel photos utilisé pour l’enquête alimentaire de l’étude SU.VI.MAX. Cahier de Nutrition et de Diététique 31(3):158–164

25.

Hercberg S, Chat-Yung S, Chaulia M (2008) The French National Nutrition and Health Program: 2001–2006–2010. Int J Public Health 53(2):68–77CrossRef

26.

Arnault NC, Castetbon L, Coronel K, Fezeu SD, Figuette L, M (2013) Table de composition des aliments NutriNet-Santé. Economica, Paris

27.

Lassale C, Péneau S, Touvier M, Julia C, Galan P, Hercberg S, Kesse-Guyot E (2013) Validity of web-based self-reported weight and height: results of the Nutrinet-Santé study. J Med Internet Res 15(8):e152. https://doi.org/10.2196/jmir.2575 CrossRefPubMedPubMedCentral

28.

Lampure A, Deglaire A, Schlich P, Castetbon K, Peneau S, Hercberg S, Mejean C (2014) Liking for fat is associated with sociodemographic, psychological, lifestyle and health characteristics. Br J Nutr 112(8):1353–1363. https://doi.org/10.1017/S0007114514002050 CrossRefPubMed

29.

Lampure A, Schlich P, Deglaire A, Castetbon K, Peneau S, Hercberg S, Mejean C (2015) Sociodemographic, psychological, and lifestyle characteristics are associated with a liking for salty and sweet tastes in French adults. J Nutr 145(3):587–594. https://doi.org/10.3945/jn.114.201269 CrossRefPubMed

30.

Adriouch S, Lelong H, Kesse-Guyot E, Baudry J, Lampure A, Galan P, Hercberg S, Touvier M, Fezeu LK (2017) Compliance with nutritional and lifestyle recommendations in 13,000 patients with a cardiometabolic disease from the Nutrinet-Sante study. Nutrients. https://doi.org/10.3390/nu9060546 CrossRefPubMedPubMedCentral

31.

Craig CL, Marshall AL, Sjostrom M, Bauman AE, Booth ML, Ainsworth BE, Pratt M, Ekelund U, Yngve A et al (2003) International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc 35(8):1381–1395. https://doi.org/10.1249/01.MSS.0000078924.61453.FB CrossRefPubMed

32.

Black AE (2000) Critical evaluation of energy intake using the Goldberg cut-off for energy intake:basal metabolic rate. A practical guide to its calculation, use and limitations. Int J Obes Relat Metab Disord 24(9):1119–1130CrossRef

33.

Schofield WN (1985) Predicting basal metabolic rate, new standards and review of previous work. Hum Nutr Clin Nutr 39(Suppl 1):5–41 (e-pub ahead of print 1985/01/01) PubMed

34.

Mejean C, Droomers M, van der Schouw YT, Sluijs I, Czernichow S, Grobbee DE, Bueno-de-Mesquita HB, Beulens JW (2013) The contribution of diet and lifestyle to socioeconomic inequalities in cardiovascular morbidity and mortality. Int J Cardiol 168(6):5190–5195. https://doi.org/10.1016/j.ijcard.2013.07.188 CrossRefPubMed

35.

Droomers M, Schrijvers CT, Mackenbach JP (2002) Why do lower educated people continue smoking? Explanations from the longitudinal GLOBE study. Health Psychol 21(3):263–272CrossRef

36.

Chen GC, Lv DB, Pang Z, Liu QF (2013) Red and processed meat consumption and risk of stroke: a meta-analysis of prospective cohort studies. Eur J Clin Nutr 67(1):91–95. https://doi.org/10.1038/ejcn.2012.180 CrossRefPubMed

37.

de Souza RJ, Mente A, Maroleanu A, Cozma AI, Ha V, Kishibe T, Uleryk E, Budylowski P, Schunemann H et al (2015) Intake of saturated and trans unsaturated fatty acids and risk of all cause mortality, cardiovascular disease, and type 2 diabetes: systematic review and meta-analysis of observational studies. BMJ 351:h3978. https://doi.org/10.1136/bmj.h3978 CrossRefPubMedPubMedCentral

38.

Riccardi G, Giacco R, Rivellese AA (2004) Dietary fat, insulin sensitivity and the metabolic syndrome. Clin Nutr 23(4):447–456. https://doi.org/10.1016/j.clnu.2004.02.006 CrossRefPubMed

39.

Research WCRFAIfC (2007) Food, nutrition, physical activity, and the prevention of cancer: a global perspective. AICR, Washington DC

40.

Cobiac LJ, Vos T, Veerman JL (2010) Cost-effectiveness of interventions to promote fruit and vegetable consumption. PLoS One 5(11):e14148. https://doi.org/10.1371/journal.pone.0014148 CrossRefPubMedPubMedCentral

41.

Dallongeville J, Dauchet L, de Mouzon O, Requillart V, Soler LG (2011) Increasing fruit and vegetable consumption: a cost-effectiveness analysis of public policies. Eur J Public Health 21(1):69–73. https://doi.org/10.1093/eurpub/ckq013 CrossRefPubMed

42.

Deglaire A, Mejean C, Castetbon K, Kesse-Guyot E, Hercberg S, Schlich P (2015) Associations between weight status and liking scores for sweet, salt and fat according to the gender in adults (the Nutrinet-Sante study). Eur J Clin Nutr 69(1):40–46. https://doi.org/10.1038/ejcn.2014.139 CrossRefPubMed

43.

McEvoy JW, Blaha MJ, DeFilippis AP, Lima JA, Bluemke DA, Hundley WG, Min JK, Shaw LJ, Lloyd-Jones DM et al (2015) Cigarette smoking and cardiovascular events: role of inflammation and subclinical atherosclerosis from the MultiEthnic Study of Atherosclerosis. Arterioscler Thromb Vasc Biol 35(3):700–709. https://doi.org/10.1161/ATVBAHA.114.304562 CrossRefPubMedPubMedCentral

44.

Lee JR, Paultre F, Mosca L (2005) The association between educational level and risk of cardiovascular disease fatality among women with cardiovascular disease. Women’s Health Issues 15(2):80–88. https://doi.org/10.1016/j.whi.2004.11.004 CrossRefPubMed

45.

Carnethon MR (2009) Physical activity and cardiovascular disease: how much is enough? Am J Lifestyle Med 3(1 Suppl):44S–49S. https://doi.org/10.1177/1559827609332737 CrossRefPubMedPubMedCentral

46.

Fung TT, Schulze M, Manson JE, Willett WC, Hu FB (2004) Dietary patterns, meat intake, and the risk of type 2 diabetes in women. Arch Intern Med 164(20):2235–2240. https://doi.org/10.1001/archinte.164.20.2235 CrossRefPubMed

47.

Strazzullo P, D’Elia L, Kandala N-B, Cappuccio FP (2009) Salt intake, stroke, and cardiovascular disease: meta-analysis of prospective studies. BMJ. https://doi.org/10.1136/bmj.b4567 CrossRefPubMedPubMedCentral

48.

Klaus D, Hoyer J, Middeke M (2010) Salt restriction for the prevention of cardiovascular disease. Dtsch Ärztebl Int 107(26):457–462. https://doi.org/10.3238/arztebl.2010.0457 CrossRefPubMedPubMedCentral

49.

Directorate for Research S, Assessment and Statistics of Ministry of Health (2017) Report on the French population health, 2017. Executive summary: overview and highlights. DREES, Paris

50.

Poslusna K, Ruprich J, de Vries JH, Jakubikova M, van’t Veer P (2009) Misreporting of energy and micronutrient intake estimated by food records and 24 hour recalls, control and adjustment methods in practice. Br J Nutr 101(Suppl 2):S73–S85. https://doi.org/10.1017/S0007114509990602(e-pub ahead of print 2009/07/15) CrossRefPubMed

51.

Rappoport L, Peters GR, Downey R, McCann T, Huff-Corzine L (1993) Gender and age differences in food cognition. Appetite 20(1):33–52. https://doi.org/10.1006/appe.1993.1004 CrossRefPubMed

52.

Reverdy C, Schlich P, Köster EP, Ginon E, Lange C (2010) Effect of sensory education on food preferences in children. Food Qual Prefer 21(7):794–804. https://doi.org/10.1016/j.foodqual.2010.03.008 CrossRef

53.

Mattes RD (1993) Fat preference and adherence to a reduced-fat diet. Am J Clin Nutr 57(3):373–381CrossRef

54.

Mattes RD (1997) The taste for salt in humans. Am J Clin Nutr 65(2 Suppl):692S–697SCrossRef

55.

Romagny SG, Salles E, C (2017) Impact fo reducing fat, salt and sugar in commercial foods on consumer acceptability and willingness to pay in real tasting conditions: a home experiment. Food Qual Pref 56:164–172CrossRef

Titel: Relationship between sensory liking for fat, sweet or salt and cardiometabolic diseases: mediating effects of diet and weight status
verfasst von: Aurélie Lampuré
Solia Adriouch
Katia Castetbon
Amélie Deglaire
Pascal Schlich
Sandrine Péneau
Léopold Fezeu
Serge Hercberg
Caroline Méjean
Publikationsdatum: 05.02.2019
Verlag: Springer Berlin Heidelberg
Erschienen in: European Journal of Nutrition / Ausgabe 1/2020
Print ISSN: 1436-6207
Elektronische ISSN: 1436-6215
DOI: https://doi.org/10.1007/s00394-019-01904-x

Leitlinien kompakt für die Innere Medizin

Mit medbee Pocketcards sicher entscheiden.

^{Seit 2022 gehört die medbee GmbH zum Springer Medizin Verlag}

Kostenlos registrieren

Neu im Fachgebiet Innere Medizin

19.04.2024 | Vorhofflimmern | Nachrichten

Update Innere Medizin

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.

Newsletter bestellen

Live-Webinar: Aktuelle Leitlinien bei Herz-Kreislauf-Erkrankungen

Springer Medizin

Relationship between sensory liking for fat, sweet or salt and cardiometabolic diseases: mediating effects of diet and weight status

Abstract

Purpose

Methods

Results

Conclusions

Leitlinien kompakt für die Innere Medizin

Neu im Fachgebiet Innere Medizin

Parodontalbehandlung verbessert Prognose bei Katheterablation

Prostatakarzinom: EU initiiert neues Screeningkonzept

Blasenkarzinom – Biomarker statt Zytologie?

Antihypertensiva schützen auch alte Menschen noch vor Demenz

Update Innere Medizin

Live-Webinar: Aktuelle Leitlinien bei Herz-Kreislauf-Erkrankungen

Springer Medizin

Abstract

Purpose

Methods

Results

Conclusions

Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten

Weitere Artikel der Ausgabe 1/2020

Adequacy of iron intakes and socio-demographic factors associated with iron intakes of Australian pre-schoolers

Prudent dietary pattern influences homocysteine level more than folate, vitamin B12, and docosahexaenoic acid: a structural equation model approach

Correction to: Evaluation of the efficacy of Lactobacillus plantarum HEAL9 and Lactobacillus paracasei 8700:2 on aspects of common cold infections in children attending day care: a randomised, double-blind, placebo-controlled clinical study

Effect of Vitamin A status during pregnancy on maternal anemia and newborn birth weight: results from a cohort study in the Western Brazilian Amazon

Red meat consumption and metabolic syndrome in the Costa Rica Heart Study

24-Week β-alanine ingestion does not affect muscle taurine or clinical blood parameters in healthy males

Leitlinien kompakt für die Innere Medizin

Neu im Fachgebiet Innere Medizin

Parodontalbehandlung verbessert Prognose bei Katheterablation

Prostatakarzinom: EU initiiert neues Screeningkonzept

Blasenkarzinom – Biomarker statt Zytologie?

Antihypertensiva schützen auch alte Menschen noch vor Demenz

Update Innere Medizin