ZHANG Siyu, CHEN Mingwei. Relationship between breast feeding and metabolic syndrome[J]. Journal of Clinical Medicine in Practice, 2021, 25(4): 68-72. DOI: 10.7619/jcmp.20200663
Citation: ZHANG Siyu, CHEN Mingwei. Relationship between breast feeding and metabolic syndrome[J]. Journal of Clinical Medicine in Practice, 2021, 25(4): 68-72. DOI: 10.7619/jcmp.20200663

Relationship between breast feeding and metabolic syndrome

More Information
  • Received Date: August 29, 2020
  • Available Online: March 14, 2021
  • Published Date: February 27, 2021
  •   Objective  To analyze the relationship between breast feeding and metabolic syndrome (MS).
      Methods  Cluster sampling and cross-sectional survey were adopted to retrospectively analyze the data of 6 250 women in the database of REACTION institute. According to the breast feeding situation, all the subjects were divided into breast feeding group (n=5 786) and non breast feeding group (n=464), and the breast feeding group was further divided into ≤ 6 months group (n=243), >6 to 12 months group (n=4 612), >12 to <18 months group (n=691) and ≥ 18 months group (n=240). Correlation between breast feeding and the risk of MS was analyzed.
      Results  After adjusting potential confounding factors such as age, previous history of MS, alanine aminotransferase (ALT), aspartate aminotransferase (AST), glutamyl transpeptidase (GGT), number of pregnancies, number of abortions, number of surviving fetuses, fetal gender, gestational hypertension and gestational diabetes mellitus, women with breast feeding had a lower risk of MS than those without breast feeding (OR=0.69, 95%CI was 0.59 to 0.98). Compared to women with breast feeding less than 6 months, women with breast feeding of >6 to 12 months (OR=0.81, 95%CI was 0.76 to 1.09), >12 to <18 months (OR=0.75, 95%CI was 0.68 to 1.00) and ≥ 18 months (OR=0.78, 95%CI was 0.65 to 0.97) had a lower risk of MS.
      Conclusion  Breast feeding plays a protective role in reducing the risk of postpartum MS, and breast feeding for one year to one year and a half can reduce the risk of MS to the greatest extent.
  • [1]
    DEKKER J M, GIRMAN C, RHODES T, et al. Metabolic syndrome and 10-year cardiovascular disease risk in the Hoorn study[J]. Circulation, 2005, 112(5): 666-673. doi: 10.1161/CIRCULATIONAHA.104.516948
    [2]
    CAMERON A J, ZIMMET P Z, SHAW J E, et al. The metabolic syndrome: in need of a global mission statement[J]. Diabet Med, 2009, 26(3): 306-309. doi: 10.1111/j.1464-5491.2009.02681.x
    [3]
    李莉华, 王雅坤, 万旻, 等. 母乳喂养与成年期代谢综合征的关联性研究[J]. 营养学报, 2019, 41(3): 236-241. https://www.cnki.com.cn/Article/CJFDTOTAL-YYXX201903010.htm
    [4]
    VANDYOUSEFI S, GORAN M I, GUNDERSON E P, et al. Association of breastfeeding and gestational diabetes mellitus with the prevalence of prediabetes and the metabolic syndrome in offspring of Hispanic mothers[J]. Pediatr Obes, 2019, 14(7): e12515. doi: 10.1111/ijpo.12515
    [5]
    梁世芳, 毛莹. 妊娠期糖尿病患者产后母乳喂养对糖代谢恢复的影响[J]. 糖尿病新世界, 2018, 21(13): 38-39. https://www.cnki.com.cn/Article/CJFDTOTAL-TNBX201813020.htm
    [6]
    唐林凤. 纯母乳喂养对妊娠期糖尿病患者产后糖、脂代谢和体成分的影响[D]. 青岛: 青岛大学, 2013.
    [7]
    LEE A J, HISCOCK R J, WEIN P, et al. Gestational diabetes mellitus: clinical predictors and long-term risk of developing type 2 diabetes: a retrospective cohort study using survival analysis[J]. Diabetes Care, 2007, 30(4): 878-883. doi: 10.2337/dc06-1816
    [8]
    STUEBE A M, SCHWARZ E B, GREWEN K, et al. Duration of lactation and incidence of maternal hypertension: a longitudinal cohort study[J]. Am J Epidemiol, 2011, 174(10): 1147-1158. doi: 10.1093/aje/kwr227
    [9]
    中华医学会糖尿病学分会. 中国2型糖尿病防治指南即将更新[J]. 中国医学前沿杂志: 电子版, 2013(12): 51-51. https://www.cnki.com.cn/Article/CJFDTOTAL-YXQY201312013.htm
    [10]
    DINIZ J M, DA COSTA T H. Independent of body adiposity, breast-feeding has a protective effect on glucose metabolism in young adult women[J]. Br J Nutr, 2004, 92(6): 905-912. doi: 10.1079/BJN20041288
    [11]
    TIGAS S, SUNEHAG A, HAYMOND M W. Metabolic adaptation to feeding and fasting during lactation in humans[J]. J Clin Endocrinol Metab, 2002, 87(1): 302-307. doi: 10.1210/jcem.87.1.8178
    [12]
    LIU B, JORM L, BANKS E. Parity, breastfeeding, and the subsequent risk of maternal type 2 diabetes[J]. Diabetes Care, 2010, 33(6): 1239-1241. doi: 10.2337/dc10-0347
    [13]
    STUEBE A M, RICH-EDWARDS J W, WILLETT W C, et al. Duration of lactation and incidence of type 2 diabetes[J]. JAMA, 2005, 294(20): 2601-2610. doi: 10.1001/jama.294.20.2601
    [14]
    SCHWARZ E B, RAY R M, STUEBE A M, et al. Duration of lactation and risk factors for maternal cardiovascular disease[J]. Obstet Gynecol, 2009, 113(5): 974-982. doi: 10.1097/01.AOG.0000346884.67796.ca
    [15]
    CHOWDHURY R, SINHA B, SANKAR M J, et al. Breastfeeding and maternal health outcomes: a systematic review and meta-analysis[J]. Acta Paediatr, 2015, 104: 96-113. doi: 10.1111/apa.13102
    [16]
    ZHANG B Z, ZHANG H Y, LIU H H, et al. Breastfeeding and maternal hypertension and diabetes: a population-based cross-sectional study[J]. Breastfeed Med, 2015, 10(3): 163-167. doi: 10.1089/bfm.2014.0116
    [17]
    PERRINE C G, NELSON J M, CORBELLI J, et al. Lactation and maternal cardio-metabolic health[J]. Annu Rev Nutr, 2016, 36: 627-645. doi: 10.1146/annurev-nutr-071715-051213
    [18]
    GREWEN K M, LIGHT K C. Plasma oxytocin is related to lower cardiovascular and sympathetic reactivity to stress[J]. Biol Psychol, 2011, 87(3): 340-349. doi: 10.1016/j.biopsycho.2011.04.003
    [19]
    MCMANUS R M, CUNNINGHAM I, WATSON A, et al. Beta-cell function and visceral fat in lactating women with a history of gestational diabetes[J]. Metabolism, 2001, 50(6): 715-719. doi: 10.1053/meta.2001.23304
    [20]
    KJOS S L, HENRY O, LEE R M, et al. The effect of lactation on glucose and lipid metabolism in women with recent gestational diabetes[J]. Obstet Gynecol, 1993, 82(3): 451-455. http://www.ncbi.nlm.nih.gov/pubmed/8355952
    [21]
    PETERSSON M. Cardiovascular effects of oxytocin[J]. Prog Brain Res, 2002, 139: 281-288. http://www.ncbi.nlm.nih.gov/pubmed/1153152
    [22]
    PETERSSON M, ALSTER P, LUNDEBERG T, et al. Oxytocin causes a long-term decrease of blood pressure in female and male rats[J]. Physiol Behav, 1996, 60(5): 1311-1315. doi: 10.1016/S0031-9384(96)00261-2
    [23]
    HOLST S, UVNÄS-MOBERG K, PETERSSON M. Postnatal oxytocin treatment and postnatal stroking of rats reduce blood pressure in adulthood[J]. Auton Neurosci, 2002, 99(2): 85-90. doi: 10.1016/S1566-0702(02)00134-0
    [24]
    STUEBE A M, RICH-EDWARDS J W. The reset hypothesis: lactation and maternal metabolism[J]. Am J Perinatol, 2009, 26(1): 81-88. doi: 10.1055/s-0028-1103034
    [25]
    OZENOGLU A, SOKULMEZ KAYA P, ASAL ULUS C, et al. The relationship of knowledge and breastfeeding practice to maternal BMI[J]. Ecol Food Nutr, 2017, 56(2): 152-170. doi: 10.1080/03670244.2016.1275604
    [26]
    KRAUSE K M, LOVELADY C A, PETERSON B L, et al. Effect of breast-feeding on weight retention at 3 and 6 months postpartum: data from the North Carolina WIC Programme[J]. Public Health Nutr, 2010, 13(12): 2019-2026. doi: 10.1017/S1368980010001503
    [27]
    QURESHI I A, XI X R, LIMBU Y R, et al. Hyperlipidaemia during normal pregnancy, parturition and lactation[J]. Ann Acad Med Singap, 1999, 28(2): 217-221. http://www.ncbi.nlm.nih.gov/pubmed/10497670
    [28]
    NATLAND S T, NILSEN T I, MIDTHJELL K, et al. Lactation and cardiovascular risk factors in mothers in a population-based study: the HUNT-study[J]. Int Breastfeed J, 2012, 7(1): 8-17. doi: 10.1186/1746-4358-7-8
    [29]
    TOMA T S, REA M F. Benefícios da amamentação Para a saúde da mulher e da criança: um ensaio sobre as evidências[J]. Cad Saúde Pública, 2008, 24(suppl 2): s235-s246.
    [30]
    CHOI S R, KIM Y M, CHO M S, et al. Association between duration of breast feeding and metabolic syndrome: the Korean national health and nutrition examination surveys[J]. J Womens Health: Larchmt, 2017, 26(4): 361-367.
  • Related Articles

    [1]LAI Yanling, CAI Dongmei, ZHUO Jingjing, LI Hao, LI Wenhui. Risk factors for postoperative secondary hydrocephalus in patients with severe craniocerebral injury and construction of nomogram risk model[J]. Journal of Clinical Medicine in Practice, 2025, 29(1): 94-97, 117. DOI: 10.7619/jcmp.20242442
    [2]YU Lingying, WANG Xiaolei, SHEN Xiaofang, CAO Jing, XU Ji, DU Huaping. Risk factors of aspiration during hospitalization in patients with ischemic stroke and establishment of a predictive model[J]. Journal of Clinical Medicine in Practice, 2024, 28(9): 103-108. DOI: 10.7619/jcmp.20240594
    [3]WANG Huili, LI Huijuan, LU Yan, QIN Xiuyu, CHEN Dandan, XU Yun. Risk factors of intraoperative hypothermia in patients undergoing radical thyroidectomy under laparoscopy and the construction of nomogram model[J]. Journal of Clinical Medicine in Practice, 2024, 28(4): 29-33. DOI: 10.7619/jcmp.20232740
    [4]WANG Yongxia, CHEN Xiao, LI Mei, JIANG Lijun, DING Hui. Influencing factors of dwarfism in children and construction of the nomogram model[J]. Journal of Clinical Medicine in Practice, 2024, 28(2): 92-95. DOI: 10.7619/jcmp.20232434
    [5]SONG Feng, FANG Canjun, HU Jing, CHEN Yi. Risk factors of preoperative deep venous thrombosis in young and middle-aged patients with hip fracture and construction of a Nomogram predictive model[J]. Journal of Clinical Medicine in Practice, 2023, 27(12): 32-37. DOI: 10.7619/jcmp.20230579
    [6]YI Yanan, HAN Chongxu, LIANG Chengtong, YANG Mingyu, WANG Mengting. Risk factors identification for prognosis of ovarian cancer patients with lung metastasis and establishment of nomogram[J]. Journal of Clinical Medicine in Practice, 2023, 27(1): 1-8, 15. DOI: 10.7619/jcmp.20223123
    [7]SHAN Qingting, DU Huaping, LU Man, XIE Li, XU Yuan. Nomogram prediction model for repeated fluctuationof symptoms within 24 hours of intravenous thrombolysis with recombinant tissue plasminogen activator in patients with ischemic stroke[J]. Journal of Clinical Medicine in Practice, 2022, 26(12): 23-28. DOI: 10.7619/jcmp.20220023
    [8]DONG Yanping, WANG Jiemin, WANG Yujin, REN Yali, DONG Yucheng, YONG Yanjun, SU Xuandi, WANG Jixiang, SU Nan, WANG Fuli, XIA Duosheng. Construction and evaluation of Nomogram prediction model for postoperative recurrence of pterygium[J]. Journal of Clinical Medicine in Practice, 2022, 26(7): 52-56. DOI: 10.7619/jcmp.20214610
    [9]ZHOU Lanmei, JIANG Lijun, ZHU Fengxia, ZHAO Xuemei, JIN Yanting. Analysis in risk factors of respiratory tract infectionin preschool children and construction of nomogram prediction model[J]. Journal of Clinical Medicine in Practice, 2021, 25(14): 9-14. DOI: 10.7619/jcmp.20211520
    [10]HU Tingting, GUO Qiu, TANG Weiwei, YANG Huan, LIU Guijun. A Nomogram model establishment for noscomial infection in elderly patients with hypertension and diabetes mellitus[J]. Journal of Clinical Medicine in Practice, 2021, 25(5): 55-60. DOI: 10.7619/jcmp.20210055
  • Cited by

    Periodical cited type(1)

    1. 吴春蕾,杨盼,徐敏,李瑛,王跃涛. 心电图P波离散度及Ⅱ导联P波峰值时间对原发性高血压患者新发心房颤动的预测价值. 实用临床医药杂志. 2024(22): 21-25 . 本站查看

    Other cited types(0)

Catalog

    Article views (354) PDF downloads (22) Cited by(1)

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return