| Peer-Reviewed

Associations Between Yogurt Consumption and Obesity Risk: A Systematic Review and Meta-analysis of Observational Studies

Received: 1 February 2021     Accepted: 17 February 2021     Published: 26 February 2021
Views:       Downloads:
Abstract

Background: Plenty of studies have shown that yogurt have specific benefits for human health, but the association between yogurt consumption and obesity risk is still indistinct from previous research. Objectives: The aim of this study was to make a systematic review of recent epidemiological studies about yogurt consumption and obesity risk, and conduct a meta-analysis. Methods: Related studies were searched in electronic databases up to 1 November 2020. The meta-analyses synthesize included obesity, overweight and abdominal obesity comparing extreme categories of yogurt consumption. Results: A total of 35 studies from 27 articles were carried out in the review. Yogurt intake could decrease the risk of obesity (OR:0.83, 95% CI: 0.79-0.87), and abdominal obesity (OR: 0.80, 95% CI: 0.69-0.92), but showed no associations with overweight happen (OR: 0.88, 95% CI: 0.58-1.36). A dose-response analysis shows that the risk of obesity de-creased by approximately 44% with increasing intake of yogurt up to ~165 g/day. Moreover, most prospective cohort studies reveal that the intake of yogurt in a long term can reduce weight and waist circumference, but not affect the change of BMI. Conclusions: The meta-analysis indicates that yogurt consumption would reduce the overall obesity and abdominal obesity. In addition, long term consumption of yogurt may contribute to some obesity-related anthropometry change.

Published in Journal of Food and Nutrition Sciences (Volume 9, Issue 1)
DOI 10.11648/j.jfns.20210901.13
Page(s) 16-33
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2021. Published by Science Publishing Group

Keywords

Yogurt, Obesity, Overweight, Abdominal Obesity

References
[1] Roberto, C. A., B. Swinburn, C. Hawkes, et al., (2015) Patchy progress on obesity prevention: emerging examples, entrenched barriers, and new thinking. Lancet, 385 (9985): p. 2400-2409.
[2] Bhupathiraju, S. N. and F. B. Hu, (2016) Epidemiology of Obesity and Diabetes and Their Cardiovascular Complications. Circ Res, 118 (11): p. 1723-1735.
[3] Lakkis, J. I. and M. R. Weir, (2018) Obesity and Kidney Disease. Prog Cardiovasc Dis, 61 (2): p. 157-167.
[4] Iyengar, N. M., A. Gucalp, A. J. Dannenberg, et al., (2016) Obesity and Cancer Mechanisms: Tumor Microenvironment and Inflammation. J Clin Oncol, 34 (35): p. 4270-4276.
[5] Park, J., T. S. Morley, M. Kim, et al., (2014) Obesity and cancer--mechanisms underlying tumour progression and recurrence. Nat Rev Endocrinol, 10 (8): p. 455-465.
[6] Afshin, A., M. H. Forouzanfar, M. B. Reitsma, et al., (2017) Health Effects of Overweight and Obesity in 195 Countries over 25 Years. N Engl J Med, 377 (1): p. 13-27.
[7] Ward, Z. J., S. N. Bleich, A. L. Cradock, et al., (2019) Projected U.S. State-Level Prevalence of Adult Obesity and Severe Obesity. N Engl J Med, 381 (25): p. 2440-2450.
[8] Lean, M., J. Lara, and J. O. Hill, (2006) ABC of obesity. Strategies for preventing obesity. Bmj, 333 (7575): p. 959-962.
[9] Zemel, M. B. and S. L. Miller, (2004) Dietary calcium and dairy modulation of adiposity and obesity risk. Nutr Rev, 62 (4): p. 125-131.
[10] Wang, W., Y. Wu, and D. Zhang, (2016) Association of dairy products consumption with risk of obesity in children and adults: a meta-analysis of mainly cross-sectional studies. Ann Epidemiol, 26 (12): p. 870-882.e872.
[11] Lu, L., P. Xun, Y. Wan, et al., (2016) Long-term association between dairy consumption and risk of childhood obesity: a systematic review and meta-analysis of prospective cohort studies. Eur J Clin Nutr, 70 (4): p. 414-423.
[12] Tunick, M. H. and D. L. Van Hekken, (2015) Dairy Products and Health: Recent Insights. J Agric Food Chem, 63 (43): p. 9381-9388.
[13] Kok, C. R. and R. Hutkins, (2018) Yogurt and other fermented foods as sources of health-promoting bacteria. Nutr Rev, 76 (Suppl 1): p. 4-15.
[14] Sanchez, M., S. Panahi, and A. Tremblay, (2014) Childhood obesity: a role for gut microbiota? Int J Environ Res Public Health, 12 (1): p. 162-175.
[15] Salaj, R., J. Stofilova, A. Soltesova, et al., (2013) The effects of two Lactobacillus plantarum strains on rat lipid metabolism receiving a high fat diet. ScientificWorldJournal, 2013: p. 135142.
[16] Mena-Sanchez, G., N. Becerra-Tomas, N. Babio, et al., (2019) Dairy Product Consumption in the Prevention of Metabolic Syndrome: A Systematic Review and Meta-Analysis of Prospective Cohort Studies. Adv Nutr, 10 (suppl_2): p. S144-s153.
[17] Schwingshackl, L., G. Hoffmann, C. Schwedhelm, et al., (2016) Consumption of Dairy Products in Relation to Changes in Anthropometric Variables in Adult Populations: A Systematic Review and Meta-Analysis of Cohort Studies. PLoS One, 11 (6): p. e0157461.
[18] Sayon-Orea, C., M. A. Martinez-Gonzalez, M. Ruiz-Canela, et al., (2017) Associations between Yogurt Consumption and Weight Gain and Risk of Obesity and Metabolic Syndrome: A Systematic Review. Adv Nutr, 8 (1): p. 146s-154s.
[19] Moher, D., A. Liberati, J. Tetzlaff, et al., (2009) Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med, 6 (7): p. e1000097.
[20] Peterson J, W. V., Losos M, et al., The Newcastle-Ottawa Scale (NOS) for assessing the quality of non randomised studies in meta-analyses [J]. Ottawa: Ottawa Hospital Research Institute, 2011.
[21] Rostom A, D. C., Cranney A, et al. Celiac Disease. Rockville (MD): Agency for Healthcare Research and Quality (US); 2004 Sep. (Evidence Reports/Technology Assessments, No. 104.) Appendix D. Quality Assessment Forms. Rockville (MD): Agency for Healthcare Research and Quality (US); 2004 Sep. (Evidence Reports/Technology Assessments, No. 104.) Appendix D. Quality Assessment Forms. Celiac Disease 2004 Sep; Available from: https://www.ncbi.nlm.nih.gov/books/NBK35156/.
[22] Shu, X., Q. Q. Mai, M. Blatz, et al., (2018) Direct and Indirect Restorations for Endodontically Treated Teeth: A Systematic Review and Meta-analysis, IAAD 2017 Consensus Conference Paper. J Adhes Dent, 20 (3): p. 183-194.
[23] Jonathan J Deeks, J. P. H., Douglas G Altman (editors). Chapter 10: Analysing data and undertaking meta-analyses. In: Higgins JPT, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, Welch VA (editors). Cochrane Handbook for Systematic Reviews of Interventions version 6.0 (updated July 2019). Cochrane, 2019. Available from www.training.cochrane.org/handbook.
[24] Higgins, J. P., S. G. Thompson, J. J. Deeks, et al., (2003) Measuring inconsistency in meta-analyses. Bmj, 327 (7414): p. 557-560.
[25] Higgins, J. P. and S. G. Thompson, (2004) Controlling the risk of spurious findings from meta-regression. Stat Med, 23 (11): p. 1663-1682.
[26] Greenland, S. and M. P. Longnecker, (1992) Methods for trend estimation from summarized dose-response data, with applications to meta-analysis. Am J Epidemiol, 135 (11): p. 1301-1309.
[27] Harrell, F. E., Jr., K. L. Lee, and B. G. Pollock, (1988) Regression models in clinical studies: determining relationships between predictors and response. J Natl Cancer Inst, 80 (15): p. 1198-1202.
[28] Orsini, N., R. Bellocco, and S. J. S. J. Greenland, (2006) Generalized least squares for trend estimation of summarized dose–response data. 6 (6): p. 40-57.
[29] Altman, D. G. and J. M. Bland, (2003) Interaction revisited: the difference between two estimates. Bmj, 326 (7382): p. 219.
[30] Egger, M., G. Davey Smith, M. Schneider, et al., (1997) Bias in meta-analysis detected by a simple, graphical test. Bmj, 315 (7109): p. 629-634.
[31] Begg, C. B. and M. Mazumdar, (1994) Operating characteristics of a rank correlation test for publication bias. Biometrics, 50 (4): p. 1088-1101.
[32] Abreu, S., P. Moreira, C. Moreira, et al., (2014) Intake of milk, but not total dairy, yogurt, or cheese, is negatively associated with the clustering of cardiometabolic risk factors in adolescents. Nutr Res, 34 (1): p. 48-57.
[33] Brouwer-Brolsma, E. M., D. Sluik, C. M. Singh-Povel, et al., (2018) Dairy shows different associations with abdominal and BMI-defined overweight: Cross-sectional analyses exploring a variety of dairy products. Nutr Metab Cardiovasc Dis, 28 (5): p. 451-460.
[34] Crichton, G. E., O. E. Bogucki, and M. F. Elias, (2019) Dairy food intake, diet patterns, and health: Findings from the Maine-Syracuse Longitudinal Study. Int Dairy J, 91: p. 64-70.
[35] Lau, E., J. S. Neves, M. Ferreira-Magalhaes, et al., (2019) Probiotic Ingestion, Obesity, and Metabolic-Related Disorders: Results from NHANES, 1999-2014. Nutrients, 11 (7).
[36] Lee, H. J., J. I. Cho, H. S. Lee, et al., (2014) Intakes of dairy products and calcium and obesity in Korean adults: Korean National Health and Nutrition Examination Surveys (KNHANES) 2007-2009. PLoS One, 9 (6): p. e99085.
[37] Pereira, M. A., D. R. Jacobs, Jr., L. Van Horn, et al., (2002) Dairy consumption, obesity, and the insulin resistance syndrome in young adults: the CARDIA Study. Jama, 287 (16): p. 2081-2089.
[38] Jodkowska, M., A. Oblacinska, I. Tabak, et al., (2011) Differences in dietary patterns between overweight and normal-weight adolescents. Med Wieku Rozwoj, 15 (3): p. 266-273.
[39] Kim, D. and J. Kim, (2017) Dairy consumption is associated with a lower incidence of the metabolic syndrome in middle-aged and older Korean adults: the Korean Genome and Epidemiology Study (KoGES). Br J Nutr, 117 (1): p. 148-160.
[40] Mena-Sanchez, G., N. Babio, M. A. Martinez-Gonzalez, et al., (2018) Fermented dairy products, diet quality, and cardio-metabolic profile of a Mediterranean cohort at high cardiovascular risk. Nutr Metab Cardiovasc Dis, 28 (10): p. 1002-1011.
[41] Mozaffarian, D., T. Hao, E. B. Rimm, et al., (2011) Changes in diet and lifestyle and long-term weight gain in women and men. N Engl J Med, 364 (25): p. 2392-2404.
[42] Konieczna, J., D. Romaguera, V. Pereira, et al., (2019) Longitudinal association of changes in diet with changes in body weight and waist circumference in subjects at high cardiovascular risk: the PREDIMED trial. Int J Behav Nutr Phys Act, 16 (1): p. 139.
[43] Romaguera, D., L. Ängquist, H. Du, et al., (2011) Food composition of the diet in relation to changes in waist circumference adjusted for body mass index. PLoS One, 6 (8): p. e23384.
[44] Santiago, S., C. Sayón-Orea, N. Babio, et al., (2016) Yogurt consumption and abdominal obesity reversion in the PREDIMED study. Nutr Metab Cardiovasc Dis, 26 (6): p. 468-475.
[45] Snijder, M. B., A. A. van der Heijden, R. M. van Dam, et al., (2007) Is higher dairy consumption associated with lower body weight and fewer metabolic disturbances? The Hoorn Study. Am J Clin Nutr, 85 (4): p. 989-995.
[46] Trichia, E., R. Luben, K. T. Khaw, et al., (2020) The associations of longitudinal changes in consumption of total and types of dairy products and markers of metabolic risk and adiposity: findings from the European Investigation into Cancer and Nutrition (EPIC)-Norfolk study, United Kingdom. Am J Clin Nutr.
[47] Karwowska, Z., J. Szemraj, and B. T. Karwowski, (2019) Anticancer properties of probiotic yogurt bacteria. Postepy Biochem, 65 (3): p. 163-172.
[48] Beydoun, M. A., M. T. Fanelli-Kuczmarski, H. A. Beydoun, et al., (2018) Dairy product consumption and its association with metabolic disturbance in a prospective study of urban adults. Br J Nutr, 119 (6): p. 706-719.
[49] Crichton, G. E. and A. Alkerwi, (2014) Whole-fat dairy food intake is inversely associated with obesity prevalence: findings from the Observation of Cardiovascular Risk Factors in Luxembourg study. Nutr Res, 34 (11): p. 936-943.
[50] Kim, J., (2013) Dairy food consumption is inversely associated with the risk of the metabolic syndrome in Korean adults. J Hum Nutr Diet, 26 Suppl 1: p. 171-179.
[51] Lahti-Koski, M., P. Pietinen, M. Heliövaara, et al., (2002) Associations of body mass index and obesity with physical activity, food choices, alcohol intake, and smoking in the 1982-1997 FINRISK Studies. Am J Clin Nutr, 75 (5): p. 809-817.
[52] Song, X., R. Li, L. Guo, et al., (2020) Association between dairy consumption and prevalence of obesity in adult population of northeast China: An internet-based cross-sectional study. Asia Pac J Clin Nutr, 29 (1): p. 110-119.
[53] Beydoun, M. A., T. L. Gary, B. H. Caballero, et al., (2008) Ethnic differences in dairy and related nutrient consumption among US adults and their association with obesity, central obesity, and the metabolic syndrome. Am J Clin Nutr, 87 (6): p. 1914-1925.
[54] Babio, N., N. Becerra-Tomas, M. A. Martinez-Gonzalez, et al., (2015) Consumption of Yogurt, Low-Fat Milk, and Other Low-Fat Dairy Products Is Associated with Lower Risk of Metabolic Syndrome Incidence in an Elderly Mediterranean Population. J Nutr, 145 (10): p. 2308-2316.
[55] Cormier, H., E. Thifault, V. Garneau, et al., (2016) Association between yogurt consumption, dietary patterns, and cardio-metabolic risk factors. Eur J Nutr, 55 (2): p. 577-587.
[56] Johansson, I., L. M. Nilsson, A. Esberg, et al., (2018) Dairy intake revisited - associations between dairy intake and lifestyle related cardio-metabolic risk factors in a high milk consuming population. Nutr J, 17 (1): p. 110.
[57] Martinez-Gonzalez, M. A., C. Sayon-Orea, M. Ruiz-Canela, et al., (2014) Yogurt consumption, weight change and risk of overweight/obesity: the SUN cohort study. Nutr Metab Cardiovasc Dis, 24 (11): p. 1189-1196.
[58] Rautiainen, S., L. Wang, I. M. Lee, et al., (2016) Dairy consumption in association with weight change and risk of becoming overweight or obese in middle-aged and older women: a prospective cohort study. Am J Clin Nutr, 103 (4): p. 979-988.
[59] Vergnaud, A. C., S. Peneau, S. Chat-Yung, et al., (2008) Dairy consumption and 6-y changes in body weight and waist circumference in middle-aged French adults. Am J Clin Nutr, 88 (5): p. 1248-1255.
[60] Sayon-Orea, C., M. Bes-Rastrollo, A. Marti, et al., (2015) Association between yogurt consumption and the risk of metabolic syndrome over 6 years in the SUN study. BMC Public Health, 15: p. 170.
[61] Wang, H., L. M. Troy, G. T. Rogers, et al., (2014) Longitudinal association between dairy consumption and changes of body weight and waist circumference: the Framingham Heart Study. Int J Obes (Lond), 38 (2): p. 299-305.
[62] Sun, C., R. Qi, L. Wang, et al., (2012) p38 MAPK regulates calcium signal-mediated lipid accumulation through changing VDR expression in primary preadipocytes of mice. Mol Biol Rep, 39 (3): p. 3179-3184.
[63] Sun, C., L. Wang, J. Yan, et al., (2012) Calcium ameliorates obesity induced by high-fat diet and its potential correlation with p38 MAPK pathway. Mol Biol Rep, 39 (2): p. 1755-1763.
[64] Conceicao, E. P., E. G. Moura, A. C. Manhaes, et al., (2016) Calcium reduces vitamin D and glucocorticoid receptors in the visceral fat of obese male rats. J Endocrinol, 230 (2): p. 263-274.
[65] Sergeev, I. N., (2009) 1,25-Dihydroxyvitamin D3 induces Ca2+-mediated apoptosis in adipocytes via activation of calpain and caspase-12. Biochem Biophys Res Commun, 384 (1): p. 18-21.
[66] Sergeev, I. N. and Q. Song, (2014) High vitamin D and calcium intakes reduce diet-induced obesity in mice by increasing adipose tissue apoptosis. Mol Nutr Food Res, 58 (6): p. 1342-1348.
[67] Zhang, F., H. Su, M. Song, et al., (2019) Calcium Supplementation Alleviates High-Fat Diet-Induced Estrous Cycle Irregularity and Subfertility Associated with Concomitantly Enhanced Thermogenesis of Brown Adipose Tissue and Browning of White Adipose Tissue. J Agric Food Chem, 67 (25): p. 7073-7081.
[68] Kristensen, M., S. R. Juul, K. V. Sorensen, et al., (2017) Supplementation with dairy calcium and/or flaxseed fibers in conjunction with orlistat augments fecal fat excretion without altering ratings of gastrointestinal comfort. Nutr Metab (Lond), 14: p. 13.
[69] Torcello-Gomez, A., C. Boudard, and A. R. Mackie, (2018) Calcium Alters the Interfacial Organization of Hydrolyzed Lipids during Intestinal Digestion. Langmuir, 34 (25): p. 7536-7544.
[70] Diamant, M., E. E. Blaak, and W. M. de Vos, (2011) Do nutrient-gut-microbiota interactions play a role in human obesity, insulin resistance and type 2 diabetes? Obes Rev, 12 (4): p. 272-281.
[71] Pei, R., D. A. Martin, D. M. DiMarco, et al., (2017) Evidence for the effects of yogurt on gut health and obesity. Crit Rev Food Sci Nutr, 57 (8): p. 1569-1583.
[72] Barengolts, E., E. D. Smith, S. Reutrakul, et al., (2019) The Effect of Probiotic Yogurt on Glycemic Control in Type 2 Diabetes or Obesity: A Meta-Analysis of Nine Randomized Controlled Trials. Nutrients, 11 (3).
[73] Tagtow, A., E. Rahavi, S. Bard, et al., (2016) Coming Together to Communicate the 2015-2020 Dietary Guidelines for Americans. J Acad Nutr Diet, 116 (2): p. 209-212.
[74] Borgeraas, H., L. K. Johnson, J. Skattebu, et al., (2018) Effects of probiotics on body weight, body mass index, fat mass and fat percentage in subjects with overweight or obesity: a systematic review and meta-analysis of randomized controlled trials. Obes Rev, 19 (2): p. 219-232.
[75] Marette, A. and E. Picard-Deland, (2014) Yogurt consumption and impact on health: focus on children and cardiometabolic risk. Am J Clin Nutr, 99 (5 Suppl): p. 1243s-1247s.
[76] Gomez-Gallego, C., M. Gueimonde, and S. Salminen, (2018) The role of yogurt in food-based dietary guidelines. Nutr Rev, 76 (Suppl 1): p. 29-39.
[77] Smug, L. N., S. Salminen, M. E. Sanders, et al., (2014) Yoghurt and probiotic bacteria in dietary guidelines of the member states of the European Union. Benef Microbes, 5 (1): p. 61-66.
[78] Rice, B. H., C. J. Cifelli, M. A. Pikosky, et al., (2011) Dairy components and risk factors for cardiometabolic syndrome: recent evidence and opportunities for future research. Adv Nutr, 2 (5): p. 396-407.
[79] Chen, M., A. Pan, V. S. Malik, et al., (2012) Effects of dairy intake on body weight and fat: a meta-analysis of randomized controlled trials. Am J Clin Nutr, 96 (4): p. 735-747.
[80] Zhu, Y., H. Wang, J. H. Hollis, et al., (2015) The associations between yogurt consumption, diet quality, and metabolic profiles in children in the USA. Eur J Nutr, 54 (4): p. 543-550.
[81] Hess, J. and J. Slavin, (2014) Snacking for a cause: nutritional insufficiencies and excesses of U.S. children, a critical review of food consumption patterns and macronutrient and micronutrient intake of U.S. children. Nutrients, 6 (11): p. 4750-4759.
[82] Tremblay, A. and S. Panahi, (2017) Yogurt Consumption as a Signature of a Healthy Diet and Lifestyle. J Nutr, 147 (7): p. 1476s-1480s.
[83] Wang, H., K. A. Livingston, C. S. Fox, et al., (2013) Yogurt consumption is associated with better diet quality and metabolic profile in American men and women. Nutr Res, 33 (1): p. 18-26.
[84] Pei, R., D. M. DiMarco, K. K. Putt, et al., (2017) Low-fat yogurt consumption reduces biomarkers of chronic inflammation and inhibits markers of endotoxin exposure in healthy premenopausal women: a randomised controlled trial. Br J Nutr, 118 (12): p. 1043-1051.
[85] Chen, Y., R. Feng, X. Yang, et al., (2019) Yogurt improves insulin resistance and liver fat in obese women with nonalcoholic fatty liver disease and metabolic syndrome: a randomized controlled trial. Am J Clin Nutr, 109 (6): p. 1611-1619.
[86] Salas-Salvado, J., M. Guasch-Ferre, A. Diaz-Lopez, et al., (2017) Yogurt and Diabetes: Overview of Recent Observational Studies. J Nutr, 147 (7): p. 1452s-1461s.
[87] Chen, M., Q. Sun, E. Giovannucci, et al., (2014) Dairy consumption and risk of type 2 diabetes: 3 cohorts of US adults and an updated meta-analysis. BMC Med, 12: p. 215.
[88] Aune, D., T. Norat, P. Romundstad, et al., (2013) Dairy products and the risk of type 2 diabetes: a systematic review and dose-response meta-analysis of cohort studies. Am J Clin Nutr, 98 (4): p. 1066-1083.
Cite This Article
  • APA Style

    Junhao Wang, Yongjuan Xin, Qianwen Li, Lingling Li, Hongbing Zhang, et al. (2021). Associations Between Yogurt Consumption and Obesity Risk: A Systematic Review and Meta-analysis of Observational Studies. Journal of Food and Nutrition Sciences, 9(1), 16-33. https://doi.org/10.11648/j.jfns.20210901.13

    Copy | Download

    ACS Style

    Junhao Wang; Yongjuan Xin; Qianwen Li; Lingling Li; Hongbing Zhang, et al. Associations Between Yogurt Consumption and Obesity Risk: A Systematic Review and Meta-analysis of Observational Studies. J. Food Nutr. Sci. 2021, 9(1), 16-33. doi: 10.11648/j.jfns.20210901.13

    Copy | Download

    AMA Style

    Junhao Wang, Yongjuan Xin, Qianwen Li, Lingling Li, Hongbing Zhang, et al. Associations Between Yogurt Consumption and Obesity Risk: A Systematic Review and Meta-analysis of Observational Studies. J Food Nutr Sci. 2021;9(1):16-33. doi: 10.11648/j.jfns.20210901.13

    Copy | Download

  • @article{10.11648/j.jfns.20210901.13,
      author = {Junhao Wang and Yongjuan Xin and Qianwen Li and Lingling Li and Hongbing Zhang and Hao Wang and Junxia Min and Fudi Wang},
      title = {Associations Between Yogurt Consumption and Obesity Risk: A Systematic Review and Meta-analysis of Observational Studies},
      journal = {Journal of Food and Nutrition Sciences},
      volume = {9},
      number = {1},
      pages = {16-33},
      doi = {10.11648/j.jfns.20210901.13},
      url = {https://doi.org/10.11648/j.jfns.20210901.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jfns.20210901.13},
      abstract = {Background: Plenty of studies have shown that yogurt have specific benefits for human health, but the association between yogurt consumption and obesity risk is still indistinct from previous research. Objectives: The aim of this study was to make a systematic review of recent epidemiological studies about yogurt consumption and obesity risk, and conduct a meta-analysis. Methods: Related studies were searched in electronic databases up to 1 November 2020. The meta-analyses synthesize included obesity, overweight and abdominal obesity comparing extreme categories of yogurt consumption. Results: A total of 35 studies from 27 articles were carried out in the review. Yogurt intake could decrease the risk of obesity (OR:0.83, 95% CI: 0.79-0.87), and abdominal obesity (OR: 0.80, 95% CI: 0.69-0.92), but showed no associations with overweight happen (OR: 0.88, 95% CI: 0.58-1.36). A dose-response analysis shows that the risk of obesity de-creased by approximately 44% with increasing intake of yogurt up to ~165 g/day. Moreover, most prospective cohort studies reveal that the intake of yogurt in a long term can reduce weight and waist circumference, but not affect the change of BMI. Conclusions: The meta-analysis indicates that yogurt consumption would reduce the overall obesity and abdominal obesity. In addition, long term consumption of yogurt may contribute to some obesity-related anthropometry change.},
     year = {2021}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Associations Between Yogurt Consumption and Obesity Risk: A Systematic Review and Meta-analysis of Observational Studies
    AU  - Junhao Wang
    AU  - Yongjuan Xin
    AU  - Qianwen Li
    AU  - Lingling Li
    AU  - Hongbing Zhang
    AU  - Hao Wang
    AU  - Junxia Min
    AU  - Fudi Wang
    Y1  - 2021/02/26
    PY  - 2021
    N1  - https://doi.org/10.11648/j.jfns.20210901.13
    DO  - 10.11648/j.jfns.20210901.13
    T2  - Journal of Food and Nutrition Sciences
    JF  - Journal of Food and Nutrition Sciences
    JO  - Journal of Food and Nutrition Sciences
    SP  - 16
    EP  - 33
    PB  - Science Publishing Group
    SN  - 2330-7293
    UR  - https://doi.org/10.11648/j.jfns.20210901.13
    AB  - Background: Plenty of studies have shown that yogurt have specific benefits for human health, but the association between yogurt consumption and obesity risk is still indistinct from previous research. Objectives: The aim of this study was to make a systematic review of recent epidemiological studies about yogurt consumption and obesity risk, and conduct a meta-analysis. Methods: Related studies were searched in electronic databases up to 1 November 2020. The meta-analyses synthesize included obesity, overweight and abdominal obesity comparing extreme categories of yogurt consumption. Results: A total of 35 studies from 27 articles were carried out in the review. Yogurt intake could decrease the risk of obesity (OR:0.83, 95% CI: 0.79-0.87), and abdominal obesity (OR: 0.80, 95% CI: 0.69-0.92), but showed no associations with overweight happen (OR: 0.88, 95% CI: 0.58-1.36). A dose-response analysis shows that the risk of obesity de-creased by approximately 44% with increasing intake of yogurt up to ~165 g/day. Moreover, most prospective cohort studies reveal that the intake of yogurt in a long term can reduce weight and waist circumference, but not affect the change of BMI. Conclusions: The meta-analysis indicates that yogurt consumption would reduce the overall obesity and abdominal obesity. In addition, long term consumption of yogurt may contribute to some obesity-related anthropometry change.
    VL  - 9
    IS  - 1
    ER  - 

    Copy | Download

Author Information
  • Department of Nutrition, Precision Nutrition Innovation Center, School of Public Health, Zhengzhou University, Zhengzhou, China

  • Department of Nutrition, Precision Nutrition Innovation Center, School of Public Health, Zhengzhou University, Zhengzhou, China

  • Department of Nutrition, Precision Nutrition Innovation Center, School of Public Health, Zhengzhou University, Zhengzhou, China

  • Department of Nutrition, Precision Nutrition Innovation Center, School of Public Health, Zhengzhou University, Zhengzhou, China

  • Department of Nutrition, Precision Nutrition Innovation Center, School of Public Health, Zhengzhou University, Zhengzhou, China

  • Department of Nutrition, Precision Nutrition Innovation Center, School of Public Health, Zhengzhou University, Zhengzhou, China

  • The First Affiliated Hospital, School of Public Health, Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, China

  • Department of Nutrition, Precision Nutrition Innovation Center, School of Public Health, Zhengzhou University, Zhengzhou, China

  • Sections