Advertisement
Research Article| Volume 17, ISSUE 2, P161-167, April 2023

Download started.

Ok

The dose-response relationship of fruit and vegetable intake and risk of type 2 diabetes among rural China: The Henan Rural Cohort study

Published:February 02, 2023DOI:https://doi.org/10.1016/j.pcd.2023.01.012

      Highlights

      • It investigated the dose-response relationship between F&V and T2D in rural China.
      • Individuals should be encouraged to consume ≥ 260 g of fruit per day.
      • Individuals who intake high fruit plus do not smoke or drink perhaps profit the most.
      • Total F&V consumption of 600–1000 g/day should be encouraged to promote good health.

      Abstract

      Aims

      To explore the dose-response relationship of fruit and vegetable (F&V) intake and type 2 diabetes (T2D) risk in rural China.

      Methods

      A total of 38798 adults were recruited from the Henan Rural Cohort Study. F&V intake was assessed by a validated food-frequency questionnaire. Logistic regression and restricted cubic splines analysis were conducted to calculate the odds ratio (OR) for T2D relative to F&V intake and investigate the dose-response relationship.

      Results

      Higher intake of fruit or combined F&V was in connection with a lower risk of T2D, after adjusting for multiple confounders. After analyzing the dose-response relationship, we found that the odds of T2D decreased significantly with fruit consumption ≥ 260 g/day or F&V intake between 600 and 1000 g/day. And in subgroup analysis, we found that the negative correlation between fruit consumption and T2D was more pronounced in non-current smokers and non-current drinkers.

      Conclusions

      High intake of fruit alone or combined F&V is related to a reduced risk of T2D in rural China. Fruit intake ≥ 260 g/day and total F&V consumption of 600–1000 g/day should be encouraged to promote good health.

      Keywords

      To read this article in full you will need to make a payment

      Purchase one-time access:

      Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
      One-time access price info
      • For academic or personal research use, select 'Academic and Personal'
      • For corporate R&D use, select 'Corporate R&D Professionals'

      Subscribe:

      Subscribe to Primary Care Diabetes
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect

      References

        • GBD
        Disease and Injury Incidence and Prevalence Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016.
        Lancet. 2016; 390: 1211-1259https://doi.org/10.1016/s0140-6736(17)32154-2
        • Xu Y.
        • Wang L.
        • He J.
        • et al.
        Prevalence and control of diabetes in Chinese adults.
        JAMA. 2013; 310: 948-959https://doi.org/10.1001/jama.2013.168118
        • Li Y.
        • Teng D.
        • Shi X.
        • et al.
        Prevalence of diabetes recorded in mainland China using 2018 diagnostic criteria from the American Diabetes Association: national cross sectional study.
        BMJ. 2020; 369m997https://doi.org/10.1136/bmj.m997
        • Cho N.
        • Shaw J.
        • Karuranga S.
        • et al.
        IDF Diabetes Atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045.
        Diabetes Res Clin. Pr. 2018; 138: 271-281https://doi.org/10.1016/j.diabres.2018.02.023
        • Wang Q.
        • Zhang X.
        • Fang L.
        • et al.
        Prevalence, awareness, treatment and control of diabetes mellitus among middle-aged and elderly people in a rural Chinese population: A cross-sectional study.
        PLoS One. 2018; 13e0198343https://doi.org/10.1371/journal.pone.0198343
        • Pan X.
        • Li G.
        • Hu Y.
        • et al.
        Effects of diet and exercise in preventing NIDDM in people with impaired glucose tolerance. The Da Qing IGT and Diabetes Study.
        Diabetes Care. 1997; 20: 537-544https://doi.org/10.2337/diacare.20.4.537
        • Knowler W.
        • Barrett-Connor E.
        • Fowler S.
        • et al.
        Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin.
        N. Engl. J. Med. 2002; 346: 393-403https://doi.org/10.1056/NEJMoa012512
        • Hemmingsen B.
        • Gimenez-Perez G.
        • Mauricio D.
        • et al.
        Diet, physical activity or both for prevention or delay of type 2 diabetes mellitus and its associated complications in people at increased risk of developing type 2 diabetes mellitus.
        Cochrane Database Syst. Rev. 2017; 12: Cd003054https://doi.org/10.1002/14651858.CD003054.pub4
        • Han A.
        • Sun T.
        • Ming J.
        • et al.
        Are the Chinese Moving toward a Healthy Diet? Evidence from Macro Data from 1961 to 2017.
        Int J. Environ. Res Public Health. 2020; 17: 5294https://doi.org/10.3390/ijerph17155294
        • Schwingshackl L.
        • Bogensberger B.
        • Hoffmann G.
        Diet Quality as Assessed by the Healthy Eating Index, Alternate Healthy Eating Index, Dietary Approaches to Stop Hypertension Score, and Health Outcomes: An Updated Systematic Review and Meta-Analysis of Cohort Studies.
        J. Acad. Nutr. Diet. 2018; 118e111https://doi.org/10.1016/j.jand.2017.08.024
        • Du S.
        • Mroz T.A.
        • Zhai F.
        • Popkin B.
        Rapid income growth adversely affects diet quality in China--particularly for the poor!.
        Soc. Sci. Med. 2004; 59: 1505-1515https://doi.org/10.1016/j.socscimed.2004.01.021
        • Du S.
        • Wang H.
        • Zhang B.
        • et al.
        China in the period of transition from scarcity and extensive undernutrition to emerging nutrition-related non-communicable diseases.
        Obes. Rev. 2014; 15 (1949-1992): 8-15https://doi.org/10.1111/obr.12122
        • Chang X.
        • DeFries R.
        • Liu L.
        • Davis K.
        Understanding dietary and staple food transitions in China from multiple scales.
        PLoS One. 2018; 13e0195775https://doi.org/10.1371/journal.pone.0195775
        • Halvorsen R.
        • Elvestad M.
        • Molin M.
        • Aune D.
        Fruit and vegetable consumption and the risk of type 2 diabetes: a systematic review and dose-response meta-analysis of prospective studies.
        BMJ Nutr. Prev. Health. 2021; 4: 519-531https://doi.org/10.1136/bmjnph-2020-000218
        • Zheng J.
        • Sharp S.
        • Imamura F.
        • et al.
        Association of plasma biomarkers of fruit and vegetable intake with incident type 2 diabetes: EPIC-InterAct case-cohort study in eight European countries.
        Bmj. 2020; 370: m2194https://doi.org/10.1136/bmj.m2194
        • Li M.
        • Fan Y.
        • Zhang X.
        • et al.
        Fruit and vegetable intake and risk of type 2 diabetes mellitus: meta-analysis of prospective cohort studies.
        BMJ Open. 2014; 4e005497https://doi.org/10.1136/bmjopen-2014-005497
        • Villegas R.
        • Shu X.
        • Gao Y.
        • et al.
        Vegetable but not fruit consumption reduces the risk of type 2 diabetes in Chinese women.
        J. Nutr. 2008; 138: 574-580https://doi.org/10.1093/jn/138.3.574
        • Zhou X.
        • Pang Z.
        • Gao W.
        • et al.
        Fresh vegetable intake and prevalence of diabetes in a Chinese population in Qingdao.
        Diabetes Res Clin. Pr. 2011; 92: 137-142https://doi.org/10.1016/j.diabres.2010.12.034
        • Liu X.
        • Mao Z.
        • Li Y.
        • et al.
        Cohort Profile: The Henan Rural Cohort: a prospective study of chronic non-communicable diseases.
        Int J. Epidemiol. 2019; 48 (1756-1756j)https://doi.org/10.1093/ije/dyz039
        • Xue Y.
        • Yang K.
        • Wang B.
        • et al.
        Reproducibility and validity of an FFQ in the Henan Rural Cohort Study.
        Public Health Nutr. 2020; 23: 34-40https://doi.org/10.1017/s1368980019002416
        • Rayburn W.
        Diagnosis and classification of diabetes mellitus: highlights from the American Diabetes Association.
        J. Reprod. Med. 1997; 42: 585-586
        • Craig C.
        • Marshall A.
        • Sjöström M.
        • et al.
        International physical activity questionnaire: 12-country reliability and validity.
        Med Sci. Sports Exerc. 2003; 35: 1381-1395https://doi.org/10.1249/01.Mss.0000078924.61453.Fb
        • Yang Y.
        • Wang G.
        • He M.
        • et al.
        China Food Composition Table, Institute of Nutrition and Food Safety of the Chinese Center for Disease Control and Prevention.
        China Food Composition Standard Edition. China, Peking University Medical Press,, Beijing2018
        • Seligowski A.
        • Pless Kaiser A.
        • Niles B.
        • et al.
        Sleep quality as a potential mediator between psychological distress and diabetes quality of life in veterans with type 2 diabetes.
        J. Clin. Psychol. 2013; 69: 1121-1131https://doi.org/10.1002/jclp.21866
        • Bazzano L.
        • Li T.
        • Joshipura K.
        • Hu F.
        Intake of fruit, vegetables, and fruit juices and risk of diabetes in women.
        Diabetes Care. 2008; 31: 1311-1317https://doi.org/10.2337/dc08-0080
        • Yang Y.
        • Wang X.
        • Leong P.
        • et al.
        New Chinese dietary guidelines: healthy eating patterns and food-based dietary recommendations.
        Asia Pac. J. Clin. Nutr. 2018; 27: 908-913https://doi.org/10.6133/apjcn.072018.03
        • Feng B.
        • G X.
        • Jiang Y.
        • et al.
        Analysis of consumer market of fruit of Henan area dweller.
        Fruit. Growers’ Friend. 2021; : 38-41https://doi.org/10.3969/j.issn.1671-7759.2021.02.018
        • Atkinson F.
        • Foster-Powell K.
        • Brand-Miller J.
        International tables of glycemic index and glycemic load values: 2008.
        Diabetes Care. 2008; 31: 2281-2283https://doi.org/10.2337/dc08-1239
        • Zunino S.
        Type 2 diabetes and glycemic response to grapes or grape products.
        J. Nutr. 2009; 139: 1794s-1800shttps://doi.org/10.3945/jn.109.107631
        • Jenkins D.
        • Srichaikul K.
        • Kendall C.
        • et al.
        The relation of low glycaemic index fruit consumption to glycaemic control and risk factors for coronary heart disease in type 2 diabetes.
        Diabetologia. 2011; 54: 271-279https://doi.org/10.1007/s00125-010-1927-1
        • Cooper A.
        • Sharp S.
        • Luben R.
        • et al.
        The association between a biomarker score for fruit and vegetable intake and incident type 2 diabetes: the EPIC-Norfolk study.
        Eur. J. Clin. Nutr. 2015; 69: 449-454https://doi.org/10.1038/ejcn.2014.246
        • Mamluk L.
        • O'Doherty M.
        • Orfanos P.
        • et al.
        Fruit and vegetable intake and risk of incident of type 2 diabetes: results from the consortium on health and ageing network of cohorts in Europe and the United States (CHANCES.
        Eur. J. Clin. Nutr. 2017; 71: 83-91https://doi.org/10.1038/ejcn.2016.143
        • Barouti A.
        • Tynelius P.
        • Lager A.
        • Bjorklund A.
        Fruit and vegetable intake and risk of prediabetes and type 2 diabetes: results from a 20-year long prospective cohort study in Swedish men and women.
        Eur. J. Nutr. 2022; https://doi.org/10.1007/s00394-022-02871-6
        • Cooper A.
        • Sharp S.
        • Lentjes M.
        • et al.
        A prospective study of the association between quantity and variety of fruit and vegetable intake and incident type 2 diabetes.
        Diabetes Care. 2012; 35: 1293-1300https://doi.org/10.2337/dc11-2388
        • Zhang Q.
        • Wang J.
        • Wu Y.
        Analysis on regional differences of vegetable comparative advantage in Henan Province.
        Vegetables. 2021; : 33-41
        • Maddatu J.
        • Anderson-Baucum E.
        • Evans-Molina C.
        Smoking and the risk of type 2 diabetes.
        Transl. Res. 2017; 184: 101-107https://doi.org/10.1016/j.trsl.2017.02.004
        • Peng M.
        • Zhang J.
        • Zeng T.
        • et al.
        Alcohol consumption and diabetes risk in a Chinese population: a Mendelian randomization analysis.
        Addiction. 2019; 114: 436-449https://doi.org/10.1111/add.14475
        • Wagner M.
        • Rhee Y.
        • Honrath K.
        • et al.
        Nutrition education effective in increasing fruit and vegetable consumption among overweight and obese adults.
        Appetite. 2016; 100: 94-101https://doi.org/10.1016/j.appet.2016.02.002
        • Maggio C.
        • Pi-Sunyer F.
        Obesity and type 2 diabetes.
        Endocrinol. Metab. Clin. North Am. 2003; 32: 805-822https://doi.org/10.1016/s0889-8529(03)00071-9
        • Hu F.
        • Willett W.
        Optimal diets for prevention of coronary heart disease.
        Jama. 2002; 288: 2569-2578https://doi.org/10.1001/jama.288.20.2569
        • Favela-González K.
        • Hernández-Almanza A.
        • De la Fuente-Salcido N.
        The value of bioactive compounds of cruciferous vegetables (Brassica) as antimicrobials and antioxidants: A review.
        J. Food Biochem. 2020; e13414https://doi.org/10.1111/jfbc.13414
        • Bahadoran Z.
        • Mirmiran P.
        • Azizi F.
        Dietary polyphenols as potential nutraceuticals in management of diabetes: a review.
        J. Diabetes Metab. Disord. 2013; 12: 43https://doi.org/10.1186/2251-6581-12-43
        • Lontchi-Yimagou E.
        • Sobngwi E.
        • Matsha T.
        • Kengne A.
        Diabetes mellitus and inflammation.
        Curr. Diab. Rep. 2013; 13: 435-444https://doi.org/10.1007/s11892-013-0375-y
        • Yao B.
        • Fang H.
        • Xu W.
        • et al.
        Dietary fiber intake and risk of type 2 diabetes: a dose-response analysis of prospective studies.
        Eur. J. Epidemiol. 2014; 29: 79-88https://doi.org/10.1007/s10654-013-9876-x
        • Makki K.
        • Deehan E.
        • Walter J.
        • Bäckhed F.
        The Impact of Dietary Fiber on Gut Microbiota in Host Health and Disease.
        Cell Host Microbe. 2018; 23: 705-715https://doi.org/10.1016/j.chom.2018.05.012
        • Dreher M.
        Whole fruits and fruit fiber emerging health effects.
        Nutrients. 2018; : 10https://doi.org/10.3390/nu10121833
        • Gurung M.
        • Li Z.
        • You H.
        • et al.
        Role of gut microbiota in type 2 diabetes pathophysiology.
        EBioMedicine. 2020; 51102590https://doi.org/10.1016/j.ebiom.2019.11.051
        • Krishnaswamy K.
        • Gayathri R.
        Nature's bountiful gift to humankind: Vegetables & fruits & their role in cardiovascular disease & diabetes.
        Indian J. Med Res. 2018; 148: 569-595https://doi.org/10.4103/ijmr.IJMR_1780_18
        • Dong J.
        • Xun P.
        • He K.
        • Qin L.
        Magnesium intake and risk of type 2 diabetes: meta-analysis of prospective cohort studies.
        Diabetes Care. 2011; 34: 2116-2122https://doi.org/10.2337/dc11-0518