Skip to main content

Advertisement

Log in

The association between frequency of away-from home meals and type 2 diabetes mellitus in rural Chinese adults: the Henan Rural Cohort Study

  • Original Contribution
  • Published:
European Journal of Nutrition Aims and scope Submit manuscript

Abstract

Purpose

There is a paucity of data on the association between away-from home meals (AFHs) and type 2 diabetes mellitus (T2DM). The aim of this cross-sectional study was to explore the dose–response relationship between AFHs and T2DM in a Chinese population.

Methods

A total of 29,910 participants were enrolled from the Henan Rural Cohort Study. Information on the weekly frequency of AFHs was collected by face-to-face questionnaires. Logistic regression and restricted cubic splines were used to estimate the relationship between the frequencies of AFHs and T2DM. Mediation analysis was performed to examine the contribution of body mass index (BMI) to the frequency of AFH-related T2DM.

Results

Compared with those who reported 0 AFHs per week, those who consumed ≥ 11 AFHs/week were associated with a 39% increase in the prevalence of T2DM. A nonlinear dose–response relationship between the frequency of AFHs and T2DM was found. Compared with the 0 AFHs/week group, in males, the multivariate odds ratios (OR) and 95% confidence interval (95% CI) of the groups with 11 or more AFHs/week for T2DM were 1.36 (1.01–1.84). However, no such association was found in females. BMI partly mediated the effects of the frequency of AFHs on T2DM, and the proportion explained was 23.4%.

Conclusions

A relationship between the frequency of AFHs and T2DM was observed in the rural Chinese population. An excessive frequency of AFHs was likely to increase the prevalence of T2DM. Meanwhile, BMI partially mediates the effects of the frequency of AFHs on T2DM.

Trial registration

The Henan Rural Cohort Study, ChiCTR-OOC-15006699, Registered 6 July 2015, https://www.chictr.org.cn/showproj.aspx?proj=11375.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

AFHs:

Away-from home meals

T2DM:

Type 2 diabetes mellitus

BMI:

Body mass index

OR:

Odds ratio

CI:

Confidence interval

AFH:

Away-from home

RMB:

Renminbi

SD:

Standard deviation

GLU:

Glucose

References

  1. Ogurtsova K, da Rocha Fernandes JD, Huang Y, Linnenkamp U, Guariguata L, Cho NH, Cavan D, Shaw JE, Makaroff LE (2017) IDF diabetes atlas: global estimates for the prevalence of diabetes for 2015 and 2040. Diabetes Res Clin Pract 128:40–50. https://doi.org/10.1016/j.diabres.2017.03.024

    Article  CAS  PubMed  Google Scholar 

  2. Zhang P, Zhang X, Brown J, Vistisen D, Sicree R, Shaw J, Nichols G (2010) Global healthcare expenditure on diabetes for 2010 and 2030. Diabetes Res Clin Pract 87(3):293–301. https://doi.org/10.1016/j.diabres.2010.01.026

    Article  PubMed  Google Scholar 

  3. Zhou H, Li Y, Liu X, Xu F, Li L, Yang K, Qian X, Liu R, Bie R, Wang C (2017) Development and evaluation of a risk score for type 2 diabetes mellitus among middle-aged Chinese rural population based on the RuralDiab study. Sci Rep 7:42685. https://doi.org/10.1038/srep42685

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Guariguata L, Whiting DR, Hambleton I, Beagley J, Linnenkamp U, Shaw JE (2014) Global estimates of diabetes prevalence for 2013 and projections for 2035. Diabetes Res Clin Pract 103(2):137–149. https://doi.org/10.1016/j.diabres.2013.11.002

    Article  CAS  PubMed  Google Scholar 

  5. Liu X, Li Y, Li L, Zhang L, Ren Y, Zhou H, Cui L, Mao Z, Hu D, Wang C (2016) Prevalence, awareness, treatment, control of type 2 diabetes mellitus and risk factors in Chinese rural population: the RuralDiab study. Sci Rep 6:31426. https://doi.org/10.1038/srep31426

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Wang Y, Mi J, Shan XY, Wang QJ, Ge KY (2007) Is China facing an obesity epidemic and the consequences? The trends in obesity and chronic disease in China. Int J Obes (Lond) 31(1):177–188. https://doi.org/10.1038/sj.ijo.0803354

    Article  CAS  Google Scholar 

  7. Hu FB, Manson JE, Stampfer MJ, Colditz G, Liu S, Solomon CG, Willett WC (2001) Diet, lifestyle, and the risk of type 2 diabetes mellitus in women. N Engl J Med 345(11):790–797. https://doi.org/10.1056/NEJMoa010492

    Article  CAS  PubMed  Google Scholar 

  8. Seguin RA, Aggarwal A, Vermeylen F, Drewnowski A (2016) Consumption frequency of foods away from home linked with higher body mass index and lower fruit and vegetable intake among adults: a cross-sectional study. J Environ Public Health 2016:3074241. https://doi.org/10.1155/2016/3074241

    Article  PubMed  PubMed Central  Google Scholar 

  9. Zang J, Luo B, Wang Y, Zhu Z, Wang Z, He X, Wang W, Guo Y, Chen X, Wang C, Guo C, Zou S, Jia X, Wu F (2018) Eating out-of-home in adult residents in Shanghai and the nutritional differences among dining places. Nutrients. https://doi.org/10.3390/nu10070951

    Article  PubMed  PubMed Central  Google Scholar 

  10. Kant AK, Whitley MI, Graubard BI (2015) Away from home meals: associations with biomarkers of chronic disease and dietary intake in American adults, NHANES 2005–2010. Int J Obes (Lond) 39(5):820–827. https://doi.org/10.1038/ijo.2014.183

    Article  CAS  Google Scholar 

  11. NHFPC (2015) Report on the status of Chinese residents’ nutrition and chronic diseases. People’s Health Publishing House, Beijing

    Google Scholar 

  12. Lachat C, Nago E, Verstraeten R, Roberfroid D, Van Camp J, Kolsteren P (2012) Eating out of home and its association with dietary intake: a systematic review of the evidence. Obes Rev 13(4):329–346. https://doi.org/10.1111/j.1467-789X.2011.00953.x

    Article  CAS  PubMed  Google Scholar 

  13. Pereira MA, Kartashov AI, Ebbeling CB, Van Horn L, Slattery ML, Jacobs DR, Ludwig DS (2005) Fast-food habits, weight gain, and insulin resistance (the CARDIA study): 15-year prospective analysis. Lancet 365(9453):36–42. https://doi.org/10.1016/s0140-6736(04)17663-0

    Article  PubMed  Google Scholar 

  14. Scourboutakos MJS-AZ, L'Abbe MR (2013) Restaurant meals: almost a full day’s worth of calories, fats, and sodium. JAMA Intern Med 173(14):1373–1374. https://doi.org/10.1001/jamainternmed.2013.6159

    Article  PubMed  Google Scholar 

  15. Smith KJ, McNaughton SA, Gall SL, Blizzard L, Dwyer T, Venn AJ (2009) Takeaway food consumption and its associations with diet quality and abdominal obesity: a cross-sectional study of young adults. Int J Behav Nutr Phys Act 6:29. https://doi.org/10.1186/1479-5868-6-29

    Article  PubMed  PubMed Central  Google Scholar 

  16. Vandevijvere S, Lachat C, Kolsteren P, Van Oyen H (2009) Eating out of home in Belgium: current situation and policy implications. Br J Nutr 102(6):921–928. https://doi.org/10.1017/S0007114509311745

    Article  CAS  PubMed  Google Scholar 

  17. Liu R, Li Y, Mao Z, Liu X, Zhang H, Yang K, Zhang H, Tu R, Qian X, Jiang J, Bie R, Wang C (2018) Gender-specific independent and combined dose-response association of napping and night sleep duration with type 2 diabetes mellitus in rural Chinese adults: the RuralDiab study. Sleep Med 45:106–113. https://doi.org/10.1016/j.sleep.2017.12.017

    Article  PubMed  Google Scholar 

  18. Liu X, Mao Z, Li Y, Wu W, Zhang X, Huo W, Yu S, Shen L, Li L, Tu R, Wu H, Li H, He M, Liu L, Wei S, Li W, Wu T, Wang C (1756j) Cohort profile: the Henan Rural Cohort: a prospective study of chronic non-communicable diseases. Int J Epidemiol 48(6):1756–1756j. https://doi.org/10.1093/ije/dyz039

    Article  PubMed  Google Scholar 

  19. Perloff D, Grim C, Flack J, Frohlich ED, Hill M, McDonald M, Morgenstern BZ (1993) Human blood pressure determination by sphygmomanometry. Circulation 88(5 Pt 1):2460–2470. https://doi.org/10.1161/01.cir.88.5.2460

    Article  CAS  PubMed  Google Scholar 

  20. American Diabetes A (2009) Diagnosis and classification of diabetes mellitus. Diabetes Care 32(Suppl 1):S62–S67. https://doi.org/10.2337/dc09-S062

    Article  Google Scholar 

  21. Xue Y, Yang K, Wang B, Liu C, Mao Z, Yu S, Li X, Wang Y, Sun H, Wang C, Li W (2019) Reproducibility and validity of an FFQ in the Henan Rural Cohort Study. Public Health Nutr 23(1):34–40. https://doi.org/10.1017/S1368980019002416

    Article  PubMed  Google Scholar 

  22. Ediriweera RDS, R. Robin (eds) (2000) International guide for monitoring alcohol consumption and related harm. World Health Organization, Geneva, p 51

  23. Chinese Nutrition Society (2011) The dietary guidelines for Chinese residents. Xizang People’s Publishing House, Lhasa, China, pp 197–198 (219)

    Google Scholar 

  24. Fan M, Lyu J, He P (2014) Chinese guidelines for data processing and analysis concerning the international physical activity questionnaire. Zhonghua liu xing bing xue za zhi 35(8):961–964

    PubMed  Google Scholar 

  25. Desquilbet L, Mariotti F (2010) Dose-response analyses using restricted cubic spline functions in public health research. Stat Med 29(9):1037–1057. https://doi.org/10.1002/sim.3841

    Article  PubMed  Google Scholar 

  26. Preacher KJ, Hayes AF (2004) SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behav Res Methods Instrum Comput 36(4):717–731. https://doi.org/10.3758/bf03206553

    Article  Google Scholar 

  27. Korsiak J, Tranmer J, Day A, Aronson KJ (2018) Sleep duration as a mediator between an alternating day and night shift work schedule and metabolic syndrome among female hospital employees. Occup Environ Med 75(2):132–138. https://doi.org/10.1136/oemed-2017-104371

    Article  PubMed  Google Scholar 

  28. Preacher KJ, Kelley K (2011) Effect size measures for mediation models: quantitative strategies for communicating indirect effects. Psychol Methods 16(2):93–115. https://doi.org/10.1037/a0022658

    Article  PubMed  Google Scholar 

  29. Bosetti C, Tavani A, Negri E, Trichopoulos D, La Vecchia C (2001) Reliability of data on medical conditions, menstrual and reproductive history provided by hospital controls. J Clin Epidemiol 54(9):902–906. https://doi.org/10.1016/s0895-4356(01)00362-6

    Article  CAS  PubMed  Google Scholar 

  30. Zong G, Eisenberg DM, Hu FB, Sun Q (2016) Consumption of meals prepared at home and risk of type 2 diabetes: an analysis of two prospective cohort studies. PLoS Med 13(7):e1002052. https://doi.org/10.1371/journal.pmed.1002052

    Article  PubMed  PubMed Central  Google Scholar 

  31. Dominguez LJ, Martinez-Gonzalez MA, Basterra-Gortari FJ, Gea A, Barbagallo M, Bes-Rastrollo M (2014) Fast food consumption and gestational diabetes incidence in the SUN project. PLoS ONE 9(9):e106627. https://doi.org/10.1371/journal.pone.0106627

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Odegaard AO, Koh WP, Yuan JM, Gross MD, Pereira MA (2012) Western-style fast food intake and cardiometabolic risk in an eastern country. Circulation 126(2):182–188. https://doi.org/10.1161/CIRCULATIONAHA.111.084004

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Smith KJ, Blizzard L, McNaughton SA, Gall SL, Dwyer T, Venn AJ (2012) Takeaway food consumption and cardio-metabolic risk factors in young adults. Eur J Clin Nutr 66(5):577–584. https://doi.org/10.1038/ejcn.2011.202

    Article  CAS  PubMed  Google Scholar 

  34. Krishnan S, Coogan PF, Boggs DA, Rosenberg L, Palmer JR (2010) Consumption of restaurant foods and incidence of type 2 diabetes in African American women. Am J Clin Nutr 91(2):465–471. https://doi.org/10.3945/ajcn.2009.28682

    Article  CAS  PubMed  Google Scholar 

  35. Cahill LE, Pan A, Chiuve SE, Sun Q, Willett WC, Hu FB, Rimm EB (2014) Fried-food consumption and risk of type 2 diabetes and coronary artery disease: a prospective study in 2 cohorts of US women and men. Am J Clin Nutr 100(2):667–675. https://doi.org/10.3945/ajcn.114.084129

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Duffey KJ, Gordon-Larsen P, Steffen LM, Jacobs DR Jr, Popkin BM (2009) Regular consumption from fast food establishments relative to other restaurants is differentially associated with metabolic outcomes in young adults. J Nutr 139(11):2113–2118. https://doi.org/10.3945/jn.109.109520

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. O'Neil CE, Byrd-Bredbenner C, Hayes D, Jana L, Klinger SE, Stephenson-Martin S (2014) The role of breakfast in health: definition and criteria for a quality breakfast. J Acad Nutr Diet 114(12 Suppl):S8–S26. https://doi.org/10.1016/j.jand.2014.08.022

    Article  PubMed  Google Scholar 

  38. Hopkins LC, Sattler M, Steeves EA, Jones-Smith JC, Gittelsohn J (2017) Breakfast consumption frequency and its relationships to overall diet quality, using healthy eating index 2010, and body mass index among adolescents in a low-income urban Setting. Ecol Food Nutr 56(4):297–311. https://doi.org/10.1080/03670244.2017.1327855

    Article  PubMed  PubMed Central  Google Scholar 

  39. Orfanos P, Naska A, Rodrigues S, Lopes C, Freisling H, Rohrmann S, Sieri S, Elmadfa I, Lachat C, Gedrich K, Boeing H, Katzke V, Turrini A, Tumino R, Ricceri F, Mattiello A, Palli D, Ocke M, Engeset D, Oltarzewski M, Nilsson LM, Key T, Trichopoulou A (2017) Eating at restaurants, at work or at home. Is there a difference? A study among adults of 11 European countries in the context of the HECTOR* project. Eur J Clin Nutr 71(3):407–419. https://doi.org/10.1038/ejcn.2016.219

    Article  CAS  PubMed  Google Scholar 

  40. St-Onge MP, Ard J, Baskin ML, Chiuve SE, Johnson HM, Kris-Etherton P, Varady K, American Heart Association Obesity Committee of the Council on L, Cardiometabolic H, Council on Cardiovascular Disease in the Y, Council on Clinical C, Stroke C (2017) Meal timing and frequency: implications for cardiovascular disease prevention: a scientific statement from the American Heart Association. Circulation 135(9):e96–e121. https://doi.org/10.1161/CIR.0000000000000476

    Article  PubMed  Google Scholar 

  41. Kwon YS, Ju SY (2014) Trends in nutrient intakes and consumption while eating-out among Korean adults based on Korea National Health and Nutrition Examination Survey (1998–2012) data. Nutr Res Pract 8(6):670–678. https://doi.org/10.4162/nrp.2014.8.6.670

    Article  PubMed  PubMed Central  Google Scholar 

  42. Janssen HG, Davies IG, Richardson LD, Stevenson L (2018) Determinants of takeaway and fast food consumption: a narrative review. Nutr Res Rev 31(1):16–34. https://doi.org/10.1017/S0954422417000178

    Article  PubMed  Google Scholar 

  43. Lachat C, le Khanh NB, Khan NC, do DungNguyen NQVA, Roberfroid D, Kolsteren P (2009) Eating out of home in Vietnamese adolescents: socioeconomic factors and dietary associations. Am J Clin Nutr 90(6):1648–1655. https://doi.org/10.3945/ajcn.2009.28371

    Article  CAS  PubMed  Google Scholar 

  44. van't Riet H, den Hartog AP, van Staveren WA (2002) Non-home prepared foods: contribution to energy and nutrient intake of consumers living in two low-income areas in Nairobi. Public Health Nutr 5(4):515–522. https://doi.org/10.1079/PHN2001324

    Article  Google Scholar 

  45. Chen Jing YC, Hu Y, Wang R, Piao J, Yang X, Yang L (2017) Study on vitamin D status of ON Chinese rural elderly residents in 2010–2012. Acta Nutr Sin 39(03):223–227. https://doi.org/10.13325/j.cnki.acta.nutr.sin.20170628.002

    Article  Google Scholar 

  46. Chen J, Hu Y, Yang C, Yun C, Wang R, Mao D, Li W, Yang Y, Piao J, Yang L, Yang X (2017) Serum retinol concentrations of Chinese rural elderly residents in 2010–2012. Wei Sheng Yan Jiu 46(3):356–360

    PubMed  Google Scholar 

  47. Adams J, Goffe L, Brown T, Lake AA, Summerbell C, White M, Wrieden W, Adamson AJ (2015) Frequency and socio-demographic correlates of eating meals out and take-away meals at home: cross-sectional analysis of the UK national diet and nutrition survey, waves 1–4 (2008–12). Int J Behav Nutr Phys Act 12:51. https://doi.org/10.1186/s12966-015-0210-8

    Article  PubMed  PubMed Central  Google Scholar 

  48. Goffe L, Rushton S, White M, Adamson A, Adams J (2017) Relationship between mean daily energy intake and frequency of consumption of out-of-home meals in the UK National Diet and Nutrition Survey. Int J Behav Nutr Phys Act 14(1):131. https://doi.org/10.1186/s12966-017-0589-5

    Article  PubMed  PubMed Central  Google Scholar 

  49. Montonen JKP, Järvinen R, Reunanen A (2004) Dietary antioxidant intake and risk of type 2 diabetes. Diabetes Care. https://doi.org/10.2337/diacare.27.2.362

    Article  PubMed  Google Scholar 

  50. Mattila C, Knekt P, Mannisto S, Rissanen H, Laaksonen MA, Montonen J, Reunanen A (2007) Serum 25-hydroxyvitamin D concentration and subsequent risk of type 2 diabetes. Diabetes Care 30(10):2569–2570. https://doi.org/10.2337/dc07-0292

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

We are grateful to the villagers who took part in this study, the research team and hospital staff for their cooperation and assistance.

Funding

This research was supported by the National Key Research and Development Program Precision Medicine Initiative of China (Grant no: 2016YFC0900803), National Natural Science Foundation of China (Grant nos: 81872626, 81573151, 81573243), Henan Natural Science Foundation of China (Grant no: 182300410293), Science and Technology Foundation for Innovation Talent of Henan Province (Grant no: 154200510010). The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Author information

Authors and Affiliations

Authors

Contributions

XL and WJL conceived and designed the experiments. BYW, DQ, YX, and CL performed and conducted the experiments. BYW, DQ, XL, and YX analyzed the data and take responsibility for the integrity and accuracy of the information. BYW, DQ, ZXM, SCY, XL, CJW, and LL contributed to the reagents/materials/analysis tools. BYW, DQ, DDZ, FS, YJZ, XL, and WJL drafted and revised the manuscript. All authors have approved the final manuscript.

Corresponding author

Correspondence to Xing Li.

Ethics declarations

Conflict of interest

All authors have read and approved this version of the article, and due care has been taken to ensure the integrity of the work. Moreover, Bingya Wang, Dou Qiao, Yuan Xue, Xue Liu, Dongdong Zhang, Le Liu, Chang Liu, Zhenxing Mao, Songcheng Yu, Xing Li, Fang Shen, Yujing Zhang, Chongjian Wang, and Wenjie Li declare that they have no competing or financial interests to disclosure.

Ethics approval and consent to participate

Ethics approval was obtained from the “Zhengzhou University Life Science Ethics Committee”, and written informed consent was obtained for all participants. Ethic approval code: [2015] MEC (S128).

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 28 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, B., Liu, L., Qiao, D. et al. The association between frequency of away-from home meals and type 2 diabetes mellitus in rural Chinese adults: the Henan Rural Cohort Study. Eur J Nutr 59, 3815–3825 (2020). https://doi.org/10.1007/s00394-020-02212-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00394-020-02212-5

Keywords

Navigation