Association of dietary patterns with the newly diagnosed diabetes mellitus and central obesity: a community based cross-sectional study.
Adult
Aged
China
/ epidemiology
Cross-Sectional Studies
Diabetes Mellitus
/ diagnosis
Diet
Diet Surveys
Dietary Sugars
/ administration & dosage
Fast Foods
Feeding Behavior
Female
Fruit
Humans
Insulin Resistance
Intra-Abdominal Fat
Male
Middle Aged
Obesity, Abdominal
/ epidemiology
Risk Factors
Vegetables
Journal
Nutrition & diabetes
ISSN: 2044-4052
Titre abrégé: Nutr Diabetes
Pays: England
ID NLM: 101566341
Informations de publication
Date de publication:
04 06 2020
04 06 2020
Historique:
received:
07
02
2020
accepted:
19
05
2020
revised:
13
04
2020
entrez:
6
6
2020
pubmed:
6
6
2020
medline:
31
3
2021
Statut:
epublish
Résumé
The purpose of this study was to investigate the association of dietary patterns with the risk of insulin resistance (IR), diabetes mellitus (DM), and central obesity in China. We performed a cross-sectional study on 1432 participants, aged 40-65 years in Hangzhou, Zhejiang province, China. Dietary intake was assessed using a semi-quantitative food frequency questionnaire. Factor analysis extracted four major dietary patterns: vegetable-fruits, rice-meat, seafood-eggs, and sweet-fast. The vegetable-fruits pattern was inversely associated with HOMA-IR (p < 0.001 in both genders), while sweet-fast food pattern was significantly associated with higher HOMA-IR (p = 0.002 in male, and p < 0.001 in female). The vegetables-fruits pattern was inversely correlated with visceral fat area (VFA) (p = 0.029 in males, and p = 0.017 in females), while sweet-fast food pattern presented a significant direct association (p < 0.001 in male) with VFA in males. There was no association observed between the rice-meat pattern or the seafood-eggs pattern and HOMA-IR or VFA. After adjustment for potential confounding factors, participants in the highest tertile of vegetable-fruits pattern showed a significantly lower risk of DM in both males and females (OR: 0.30, 95% CI: 0.13-0.70 in male, and OR: 0.28, 95% CI: 0.11-0.72 in female), and lower risk of central obesity was observed in males (OR: 0.50, 95% CI: 0.29-0.86 in male). Conversely, participants in the highest tertile of sweet-fast food pattern had higher risk of DM (OR: 2.58, 95% CI: 1.23-5.88 in male), and central obesity (OR: 2.85, 95% CI: 1.67-4.86 in male) only in male. While neither the rice-meat pattern nor the seafood-eggs pattern showed significant association with DM or central obesity in both genders. Our findings indicated low risk of IR, DM, and central obesity with vegetable-fruits pattern while inverse relation with sweet-fast food pattern.
Identifiants
pubmed: 32499520
doi: 10.1038/s41387-020-0120-y
pii: 10.1038/s41387-020-0120-y
pmc: PMC7272454
doi:
Substances chimiques
Dietary Sugars
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
16Références
National Diabetes Research Group. A mass survey of diabetes mellitus in a population of 300,000 in 14 provinces and municipalities in China (in Chinese). Zhonghua Nei Ke Za Zhi 20, 678–683 (1981).
Pan, X. R., Yang, W. Y., Li, G. W. & Liu, J. Prevalence of diabetes and its risk factors in China, 1994. National Diabetes Prevention and Control Cooperative Group. Diabetes Care 20, 1664–1669 (1997).
pubmed: 9353605
Yang, S. H., Dou, K. F. & Song, W. J. Prevalence of diabetes among men and women in China. N. Engl. J. Med. 362, 2425–2426 (2010).
pubmed: 20578276
Xu, Y. et al. Prevalence and control of diabetes in Chinese adults. JAMA 310, 948–959 (2013).
pubmed: 24002281
Lu, C. & Sun, W. Prevalence of diabetes in Chinese adults. JAMA 311, 199–200 (2014).
pubmed: 24399561
Wang, L. et al. Prevalence and ethnic pattern of diabetes and prediabetes in China in 2013. JAMA 317, 2515–2523 (2017).
pubmed: 5815077
pmcid: 5815077
Yin, M., Augustin, B., Shu, C., Qin, T. & Yin, P. Probit models to investigate prevalence of total diagnosed and undiagnosed diabetes among aged 45 years or older adults in China. PloS ONE 11, e0164481 (2016).
pubmed: 27723833
pmcid: 5056726
Hossain, P., Kawar, B. & El Nahas, M. Obesity and diabetes in the developing world-a growing challenge. N. Engl. J. Med. 356, 213–215 (2007).
pubmed: 17229948
Gur, E. B. et al. Ultrasonographic visceral fat thickness in the first trimester can predict metabolic syndrome and gestational diabetes mellitus. Endocrine 47, 478–484 (2014).
pubmed: 24452873
Kahn, S. E. et al. Obesity, body fat distribution, insulin sensitivity and Islet beta-cell function as explanations for metabolic diversity. J. Nutr. 131, 354S–360S (2001).
pubmed: 11160560
Alberti, K. G., Zimmet, P. & Shaw, J. Metabolic syndrome-a new world-wide definition. A Consensus Statement from the International Diabetes Federation. Diabet. Med. J. Br. Diabet. Assoc. 23, 469–480 (2006).
Rodriguez-Monforte, M., Flores-Mateo, G. & Sanchez, E. Dietary patterns and CVD: a systematic review and meta-analysis of observational studies. Br. J. Nutr. 114, 1341–1359 (2015).
pubmed: 26344504
Schrijvers, J. K., McNaughton, S. A., Beck, K. L. & Kruger, R. Exploring the dietary patterns of young new Zealand women and associations with BMI and body frat. Nutrients https://doi.org/10.3390/nu8080450 (2016).
Spence, M., McKinley, M. C. & Hunter, S. J. Session 4: CVD, diabetes and cancer: diet, insulin resistance and diabetes: the right (pro)portions. Proc. Nutr. Soc. 69, 61–69 (2010).
pubmed: 19968905
Tremblay, A. & Gilbert, J. A. Milk products, insulin resistance syndrome and type 2 diabetes. J. Am. Coll. Nutr. 28(Suppl 1), 91S–102S (2009).
pubmed: 19571167
Gunji, T. et al. Alcohol consumption is inversely correlated with insulin resistance, independent of metabolic syndrome factors and fatty liver diseases. J. Clin. Gastroenterol. 45, 808–813 (2011).
pubmed: 21694610
Flanagan, D. E. et al. Alcohol consumption and insulin resistance in young adults. Eur. J. Clin. Invest. 30, 297–301 (2000).
pubmed: 10759877
He, Y. et al. Dietary patterns and glucose tolerance abnormalities in Chinese adults. Diabetes Care 32, 1972–1976 (2009).
pubmed: 19675202
pmcid: 2768212
Villegas, R. et al. Dietary patterns are associated with lower incidence of type 2 diabetes in middle-aged women: the Shanghai Women’s Health Study. Int. J. Epidemiol. 39, 889–899 (2010).
pubmed: 20231261
pmcid: 2912484
Zuo, H. et al. Dietary patterns are associated with insulin resistance in Chinese adults without known diabetes. Br. J. Nutr. 109, 1662–1669 (2013).
pubmed: 22989490
Jia, Q. et al. Dietary patterns are associated with prevalence of fatty liver disease in adults. Eur. J. Clin. Nutr. 69, 914–921 (2015).
pubmed: 25649235
Zhang, M. et al. Associations between dietary patterns and impaired fasting glucose in Chinese men: a cross-sectional study. Nutrients 7, 8072–8089 (2015).
pubmed: 26402695
pmcid: 4586577
Matthews, D. R. et al. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 28, 412–419 (1985).
pubmed: 3899825
pmcid: 3899825
Bao, Y. et al. Optimal waist circumference cutoffs for abdominal obesity in Chinese. Atherosclerosis 201, 378–384 (2008).
pubmed: 18417137
Li, M., Fan, Y., Zhang, X., Hou, W. & Tang, Z. Fruit and vegetable intake and risk of type 2 diabetes mellitus: meta-analysis of prospective cohort studies. BMJ Open 4, e005497 (2014).
pubmed: 25377009
pmcid: 4225228
Schwingshackl, L. et al. Food groups and risk of type 2 diabetes mellitus: a systematic review and meta-analysis of prospective studies. Eur. J. Epidemiol. 32, 363–375 (2017).
pubmed: 28397016
pmcid: 5506108
Schwingshackl, L. et al. Fruit and vegetable consumption and changes in anthropometric variables in adult populations: a systematic review and meta-analysis of prospective cohort studies. PLoS ONE 10, e0140846 (2015).
pubmed: 26474158
pmcid: 4608571
van Eekelen, E. et al. Sweet snacks are positively and fruits and vegetables are negatively associated with visceral or liver fat content in middle-aged men and women. J. Nutr. 149, 304–313 (2019).
pubmed: 30657914
pmcid: 6374148
Murakami, K. et al. Dietary fiber intake, dietary glycemic index and load, and body mass index: a cross-sectional study of 3931 Japanese women aged 18-20 years. Eur. J. Clin. Nutr. 61, 986–995 (2007).
pubmed: 17251928
Sugiyama, M., Tang, A. C., Wakaki, Y. & Koyama, W. Glycemic index of single and mixed meal foods among common Japanese foods with white rice as a reference food. Eur. J. Clin. Nutr. 57, 743–752 (2003).
pubmed: 12792658
Hamer, M. & Chida, Y. Intake of fruit, vegetables, and antioxidants and risk of type 2 diabetes: systematic review and meta-analysis. J. Hypertension 25, 2361–2369 (2007).
Salonen, J. T. et al. Increased risk of non-insulin dependent diabetes mellitus at low plasma vitamin E concentrations: a four year follow up study in men. BMJ 311, 1124–1127 (1995).
pubmed: 7580706
pmcid: 2551054
Reunanen, A., Knekt, P., Aaran, R. K. & Aromaa, A. Serum antioxidants and risk of non-insulin dependent diabetes mellitus. Eur. J. Clin. Nutr. 52, 89–93 (1998).
pubmed: 9505151
Li, M., Dibley, M. J., Sibbritt, D. W. & Yan, H. Dietary habits and overweight/obesity in adolescents in Xi’an City, China. Asia Pac. J. Clin. Nutr. 19, 76–82 (2010).
pubmed: 20199990
Shu, L. et al. Association between dietary patterns and the indicators of obesity among Chinese: a cross-sectional study. Nutrients 7, 7995–8009 (2015).
pubmed: 26393646
pmcid: 4586571
Mazidi, M. & Speakman, J. R. Association of fast-food and full-service restaurant densities with mortality from cardiovascular disease and stroke, and the prevalence of diabetes mellitus. J. Am. Heart Assoc. https://doi.org/10.1161/JAHA.117.007651 (2018).
Ma, J. et al. Sugar-sweetened beverage but not diet soda consumption is positively associated with progression of insulin resistance and prediabetes. J. Nutr. 146, 2544–2550 (2016).
pubmed: 27934644
pmcid: 5118762
O’Connor, L. et al. Intakes and sources of dietary sugars and their association with metabolic and inflammatory markers. Clin. Nutr. 37, 1313–1322 (2018).
pubmed: 28711418
pmcid: 5999353
Karatzi, K. et al. Dietary patterns and breakfast consumption in relation to insulin resistance in children. The Healthy Growth Study. Public Health Nutr. 17, 2790–2797 (2014).
pubmed: 24477051
Vergnaud, A. C. et al. Meat consumption and prospective weight change in participants of the EPIC-PANACEA study. Am. J. Clin. Nutr. 92, 398–407 (2010).
pubmed: 20592131
Aune, D., Ursin, G. & Veierod, M. B. Meat consumption and the risk of type 2 diabetes: a systematic review and meta-analysis of cohort studies. Diabetologia 52, 2277–2287 (2009).
pubmed: 19662376
Brown, K. H. et al. International Zinc Nutrition Consultative Group (IZiNCG) technical document #1. Assessment of the risk of zinc deficiency in populations and options for its control. Food Nutr. Bull. 25, S99–S203 (2004).
pubmed: 18046856
Vashum, K. P. et al. Is dietary zinc protective for type 2 diabetes? Results from the Australian longitudinal study on women’s health. BMC Endocr. Disord. 13, 40 (2013).
pubmed: 24093747
pmcid: 4015935
Lambert, E. et al. Change in sympathetic nerve firing pattern associated with dietary weight loss in the metabolic syndrome. Front. Physiol. 2, 52 (2011).
pubmed: 21904529
pmcid: 3162210
Shi, Z., Taylor, A. W., Hu, G., Gill, T. & Wittert, G. A. Rice intake, weight change and risk of the metabolic syndrome development among Chinese adults: the Jiangsu Nutrition Study (JIN). Asia Pac. J. Clin. Nutr. 21, 35–43 (2012).
pubmed: 22374558
Kim, J., Jo, I. & Joung, H. A rice-based traditional dietary pattern is associated with obesity in Korean adults. J. Acad. Nutr. Dietetics 112, 246–253 (2012).
Kolahdouzan, M. et al. The association between dietary intake of white rice and central obesity in obese adults. ARYA Atheroscler. 9, 140–144 (2013).
pubmed: 23690814
pmcid: 3653247
Djousse, L., Khawaja, O. A. & Gaziano, J. M. Egg consumption and risk of type 2 diabetes: a meta-analysis of prospective studies. Am. J. Clin. Nutr. 103, 474–480 (2016).
pubmed: 26739035
Shi, Z., Yuan, B., Zhang, C., Zhou, M. & Holmboe-Ottesen, G. Egg consumption and the risk of diabetes in adults, Jiangsu, China. Nutrition 27, 194–198 (2011).
pubmed: 20471806
Shin, S. et al. Egg consumption and risk of metabolic syndrome in Korean adults: results from the Health Examinees Study. Nutrients https://doi.org/10.3390/nu9070687 (2017).
Feskens, E. J. et al. Dietary factors determining diabetes and impaired glucose tolerance. A 20-year follow-up of the Finnish and Dutch cohorts of the Seven Countries Study. Diabetes Care 18, 1104–1112 (1995).
pubmed: 7587845
Nkondjock, A. & Receveur, O. Fish-seafood consumption, obesity, and risk of type 2 diabetes: an ecological study. Diabetes Metab. 29, 635–642 (2003).
pubmed: 14707894
Xun, P. C. & He, K. Fish consumption and incidence of diabetes meta-analysis of data from 438,000 individuals in 12 independent prospective cohorts with an average 11-year follow-up. Diabetes Care 35, 930–938 (2012).
pubmed: 22442398
pmcid: 3308299
Ramadeen, A. et al. N-3 polyunsaturated fatty acid supplementation does not reduce vulnerability to atrial fibrillation in remodeling atria. Heart Rhythm. Off. J. Heart Rhythm. Soc. 9, 1115 (2012).
Wallin, A. et al. Fish consumption, dietary long-chain n-3 fatty acids, and risk of type 2 diabetes: systematic review and meta-analysis of prospective studies. Diabetes Care 35, 918–929 (2012).
pubmed: 22442397
pmcid: 3308304
Janssen, I., Powell, L. H., Crawford, S., Lasley, B. & Sutton-Tyrrell, K. Menopause and the metabolic syndrome: the Study of Women’s Health Across the Nation. Arch. Intern. Med. 168, 1568–1575 (2008).
pubmed: 18663170
pmcid: 2894539