Skip to main content Accesibility Help
×
×
Home

Meal-specific food patterns and the incidence of hyperglycemia in a Chinese adult population

  • Zumin Shi (a1) (a2), Malcolm Riley (a3), Anne Taylor (a2) and Manny Noakes (a3)
Abstract

This study aimed to examine the association between meal-specific food patterns and incident hyperglycaemia in a Chinese adult population. Adults aged 20 years and older (n 1056) were followed from 2002 to 2007. Dietary data were collected using a 3-d food record and meal-specific (breakfast, lunch and dinner) food patterns were independently described by factor analysis based on the consumption of thirty-five food groups at each eating occasion. Each food pattern score was recoded as quartiles. Hyperglycaemia was defined as fasting plasma glucose >5·6 mmol/l at baseline and follow-up. The associated between food patterns and incident hyperglycaemia was assessed by logistic regression. During the follow-up, 125 new cases of hyperglycaemia were identified. Traditional (wheat) breakfast was inversely associated with incident hyperglycaemia, whereas traditional (rice, vegetable and pork) lunch and dinner were positively associated with the risk of incident hyperglycaemia, even after adjustment for a number of covariates including glycaemic load, carbohydrate intake and BMI. Incident hyperglycaemia occurred in 15·9, 13·6, 11·7, 6·1 % across quartiles of traditional breakfast; and 5·3, 9·1, 15·9, 17·1 % of the quartiles of traditional lunch pattern. The adjusted OR for hyperglycaemia was 0·67 (95 % CI 0·48, 0·92), 1·83 (95 % CI 1·32, 2·53) and 1·39 (95 % CI 1·04, 1·86) for 1 sd increase of traditional breakfast, lunch and dinner pattern factor score, respectively. A traditional wheat-based breakfast is associated with a decreased risk of hyperglycaemia. A rice-based traditional lunch and dinner is associated with an increased risk of hyperglycaemia in Chinese adults.

  • View HTML
    • Send article to Kindle

      To send this article to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle. Find out more about sending to your Kindle.

      Note you can select to send to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

      Find out more about the Kindle Personal Document Service.

      Meal-specific food patterns and the incidence of hyperglycemia in a Chinese adult population
      Available formats
      ×
      Send article to Dropbox

      To send this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Dropbox.

      Meal-specific food patterns and the incidence of hyperglycemia in a Chinese adult population
      Available formats
      ×
      Send article to Google Drive

      To send this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Google Drive.

      Meal-specific food patterns and the incidence of hyperglycemia in a Chinese adult population
      Available formats
      ×
Copyright
Corresponding author
* Corresponding author: Z. Shi, fax +61 8 8313 1228, email Zumin.shi@adelaide.edu.au
References
Hide All
1. Chan, JCN, Malik, V, Jia, W, et al. (2009) Diabetes in Asia: epidemiology, risk factors, and pathophysiology. JAMA 301, 21292140.
2. Li, L, Rao, K, Kong, L, et al. (2005) A description on the Chinese national nutrition and health survey in 2002. Zhonghua Liu Xing Bing Xue Za Zhi 26, 474484.
3. Yang, W, Lu, J, Weng, J, et al. (2010) Prevalence of diabetes among men and women in China. N Engl J Med 362, 10901101.
4. Bantle, JP, Wylie-Rosett, J, Albright, AL, et al. (2008) Nutrition recommendations and interventions for diabetes: a position statement of the American Diabetes Association. Diabetes Care 31, Suppl. 1, S61S78.
5. Villegas, R, Gao, YT, Yang, G, et al. (2008) Legume and soy food intake and the incidence of type 2 diabetes in the Shanghai Women’s Health Study. Am J Clin Nutr 87, 162167.
6. Villegas, R, Liu, S, Gao, YT, et al. (2007) Prospective study of dietary carbohydrates, glycemic index, glycemic load, and incidence of type 2 diabetes mellitus in middle-aged Chinese women. Arch Intern Med 167, 23102316.
7. Woo, J, Ho, SC, Sham, A, et al. (2003) Diet and glucose tolerance in a Chinese population. Eur J Clin Nutr 57, 523530.
8. Villegas, R, Gao, YT, Dai, Q, et al. (2009) Dietary calcium and magnesium intakes and the risk of type 2 diabetes: the Shanghai Women’s Health Study. Am J Clin Nutr 89, 10591067.
9. Shi, Z, Yuan, B, Zhang, C, et al. (2011) Egg consumption and the risk of diabetes in adults, Jiangsu, China. Nutrition 27, 194198.
10. Shi, Z, Zhou, M, Yuan, B, et al. (2009) Iron intake and body iron stores, anaemia and risk of hyperglycaemia among Chinese adults: the prospective Jiangsu Nutrition Study (JIN). Public Health Nutr 13, 13191327.
11. Hu, FB (2002) Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol 13, 39.
12. Jacques, PF & Tucker, KL (2001) Are dietary patterns useful for understanding the role of diet in chronic disease? Am J Clin Nutr 73, 12.
13. Schulze, MB, Hoffmann, K, Manson, JE, et al. (2005) Dietary pattern, inflammation, and incidence of type 2 diabetes in women. Am J Clin Nutr 82, 675684.
14. Hodge, AM, English, DR, O’Dea, K, et al. (2007) Dietary patterns and diabetes incidence in the Melbourne Collaborative Cohort Study. Am J Epidemiol 165, 603610.
15. Nettleton, JA, Steffen, LM, Ni, H, et al. (2008) Dietary patterns and risk of incident type 2 diabetes in the Multi-Ethnic Study of Atherosclerosis (MESA). Diabetes Care 31, 17771782.
16. McNaughton, SA, Mishra, GD & Brunner, EJ (2008) Dietary patterns, insulin resistance, and incidence of type 2 diabetes in the Whitehall II Study. Diabetes Care 31, 13431348.
17. Mizoue, T, Yamaji, T, Tabata, S, et al. (2006) Dietary patterns and glucose tolerance abnormalities in Japanese men. J Nutr 136, 13521358.
18. Nanri, A, Shimazu, T, Takachi, R, et al. (2013) Dietary patterns and type 2 diabetes in Japanese men and women: the Japan Public Health Center-based Prospective Study. Eur J Clin Nutr 67, 1824.
19. He, YN, Hu, YS, Ma, GS, et al. (2009) Dietary Patterns and Glucose Tolerance Abnormalities in Chinese Adults. Diabetes Care 32, 19721976.
20. de Oliveira Santos, R, Fisberg, RM, Marchioni, DM, et al. (2015) Dietary patterns for meals of Brazilian adults. Br J Nutr 114, 822828.
21. Deshmukh-Taskar, PR, Radcliffe, JD, Liu, Y, et al. (2010) Do breakfast skipping and breakfast type affect energy intake, nutrient intake, nutrient adequacy, and diet quality in young adults? NHANES 1999–2002. J Am Coll Nutr 29, 407418.
22. Trofholz, AC, Tate, AD, Draxten, ML, et al. (2017) What’s being served for dinner? An exploratory investigation of the Associations between the healthfulness of family meals and child dietary intake. J Acad Nutr Diet 117, 102109.
23. Asher, G & Sassone-Corsi, P (2015) Time for food: the intimate interplay between nutrition, metabolism, and the circadian clock. Cell 161, 8492.
24. Molzof, HE, Wirth, MD, Burch, JB, et al. (2017) The impact of meal timing on cardiometabolic syndrome indicators in shift workers. Chronobiol Int 34, 337348.
25. Tahara, Y & Shibata, S (2013) Chronobiology and nutrition. Neuroscience 253, 7888.
26. Kohsaka, A, Laposky, AD, Ramsey, KM, et al. (2007) High-fat diet disrupts behavioral and molecular circadian rhythms in mice. Cell Metab 6, 414421.
27. Goo, RH, Moore, JG, Greenberg, E, et al. (1987) Circadian variation in gastric emptying of meals in humans. Gastroenterology 93, 515518.
28. Bray, MS, Tsai, JY, Villegas-Montoya, C, et al. (2010) Time-of-day-dependent dietary fat consumption influences multiple cardiometabolic syndrome parameters in mice. Int J Obes 34, 15891598.
29. Almoosawi, S, Prynne, CJ, Hardy, R, et al. (2013) Time-of-day of energy intake: association with hypertension and blood pressure 10 years later in the 1946 British Birth Cohort. J Hypertens 31, 882892.
30. Almoosawi, S, Prynne, CJ, Hardy, R, et al. (2013) Time-of-day and nutrient composition of eating occasions: prospective association with the metabolic syndrome in the 1946 British birth cohort. Int J Obes (Lond) 37, 725731.
31. Shi, Z, Yuan, B, Hu, G, et al. (2011) Dietary pattern and weight change in a 5-year follow-up among Chinese adults: results from the Jiangsu Nutrition Study. Br J Nutr 105, 10471054.
32. Shi, Z, Hu, X, Yuan, B, et al. (2008) Vegetable-rich food pattern is related to obesity in China. Int J Obes (Lond) 32, 975984.
33. Shi, Z, Luscombe-Marsh, ND, Wittert, GA, et al. (2010) Monosodium glutamate is not associated with obesity or a greater prevalence of weight gain over 5 years: findings from the Jiangsu Nutrition Study of Chinese adults. Br J Nutr 104, 457463.
34. Yang, Y (2005) Chinese Food Composition Table 2004. Beijing: Peking University Medical Press.
35. Genuth, S, Alberti, KG, Bennett, P, et al. (2003) Follow-up report on the diagnosis of diabetes mellitus. Diabetes Care 26, 31603167.
36. Zhou, BF, Cooperative Meta-Analysis Group of the Working Group on Obesity in China (2002) Predictive values of body mass index and waist circumference for risk factors of certain related diseases in Chinese adults – study on optimal cut-off points of body mass index and waist circumference in Chinese adults. Biomed Environ Sci 15, 8396.
37. Hu, EA, Pan, A, Malik, V, et al. (2012) White rice consumption and risk of type 2 diabetes: meta-analysis and systematic review. BMJ 344, e1454.
38. Xu, Y, Wang, L, He, J, et al. (2013) Prevalence and control of diabetes in Chinese adults. JAMA 310, 948959.
39. Zhang, M, Zhu, Y, Li, P, et al. (2015) Associations between dietary patterns and impaired fasting glucose in Chinese men: a cross-sectional study. Nutrients 7, 80728089.
40. Hong, X, Xu, F, Wang, Z, et al. (2016) Dietary patterns and the incidence of hyperglyacemia in China. Public Health Nutr 19, 131141.
41. Shi, Z, Taylor, AW, Hu, G, et al. (2012) 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, 3543.
42. Yu, C, Shi, Z, Lv, J, et al. (2015) Major dietary patterns in relation to general and central obesity among Chinese adults. Nutrients 7, 58345849.
43. Morgan, LM, Shi, JW, Hampton, SM, et al. (2012) Effect of meal timing and glycaemic index on glucose control and insulin secretion in healthy volunteers. Br J Nutr 108, 12861291.
44. Mattson, MP, Allison, DB, Fontana, L, et al. (2014) Meal frequency and timing in health and disease. Proc Natl Acad Sci U S A 111, 1664716653.
45. Jakubowicz, D, Barnea, M, Wainstein, J, et al. (2013) High caloric intake at breakfast vs. dinner differentially influences weight loss of overweight and obese women. Obesity (Silver Spring) 21, 25042512.
46. Shi, Z, Zhou, M, Yuan, B, et al. (2010) Iron intake and body iron stores, anaemia and risk of hyperglycaemia among Chinese adults: the prospective Jiangsu Nutrition Study (JIN). Public Health Nutr 13, 13191327.
47. Xu, X, Hall, J, Byles, J, et al. (2017) Dietary pattern, serum magnesium, ferritin, C-reactive protein and anaemia among older people. Clin Nutr 36, 444451.
Recommend this journal

Email your librarian or administrator to recommend adding this journal to your organisation's collection.

British Journal of Nutrition
  • ISSN: 0007-1145
  • EISSN: 1475-2662
  • URL: /core/journals/british-journal-of-nutrition
Please enter your name
Please enter a valid email address
Who would you like to send this to? *
×

Keywords

Type Description Title
WORD
Supplementary materials

Shi supplementary material
Shi supplementary material

 Word (45 KB)
45 KB

Metrics

Altmetric attention score

Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Abstract views

Total abstract views: 0 *
Loading metrics...

* Views captured on Cambridge Core between <date>. This data will be updated every 24 hours.

Usage data cannot currently be displayed