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BMC Endocrine Disorders

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Open Access 01-12-2021 | Obesity | Research

Correlation between parity and metabolic syndrome in Chinese women aged 40 years and older: the Reaction study

Authors: Qian Xie, Haoran Xu, Qin Wan

Published in: BMC Endocrine Disorders | Issue 1/2021

Abstract

Aims

The purpose of the present study was to investigate the correlation between the number of live-birth pregnancies and metabolic syndrome (MetS) in Chinese women according to menstruation history.

Methods

Registry data for all pregnancies in a cohort of 6157 Chinese women aged 40 years or older were obtained and the number of live-birth pregnancies were enumerated. We defined MetS using five criteria: impaired insulin metabolism and glucose tolerance, obesity in the abdominal area, dyslipidemia, and hypertension. Multivariate logistic regression analysis was conducted to assess potential risk factors for MetS. Postmenopausal women with three or more of live-birth pregnancies had the highest prevalence of MetS (P < 0.05).

Results

Among the 6157 females aged 40 years or older in Luzhou city, 2143 (34.8%) participants had incident MetS. The number of live-birth pregnancies was significantly correlated with age and fasting blood glucose (FBG) level (P < 0.05). The prevalence of MetS increased with the number of live-birth pregnancies (P < 0.01), and the frequency in postmenopausal women was significantly higher than that in premenopausal women (P < 0.001). In the binary logistic regression model, menopausal status [OR = 0.343 (0.153–0.769), P < 0.001] were significantly associated with an increased risk of MetS.

Conclusions

The number of live-birth pregnancies is correlated with an increased risk of MetS in Chinese women aged 40 years and over, especially in postmenopausal women. Greater attention should be paid to postmenopausal women who have had multiple live-birth pregnancies with a view to intervening early to prevent related diseases.

Azizi F, Hadaegh F, Khalili D, Esteghamati A, Hosseinpanah F, Delavari A, et al. Appropriate definition of metabolic syndrome among Iranian adults: report of the Iranian National Committee of obesity. Arch Iran Med. 2010;13(5):426–8.PubMed

Vidigal Fde C, Ribeiro AQ, Babio N, et al. Prevalence of metabolic syndrome and pre-metabolic syndrome in health professionals: LATINMETS Brazil study. Diabetol Metab Syndr. 2015;7(1):1758–5996. https://doi.org/10.1186/s13098-015-0003-x.CrossRef

Vahid S, Sahar G, Mohammadtaghi S, et al. The frequency of metabolic syndrome among female patients admitted in psychiatry ward. Med J Mashhad Univ Med Sci. 2012;54:230–7.

Li R, Li W, Lun Z, et al. Prevalence of metabolic syndrome in mainland China: a meta-analysis of published studies. BMC Public Health. 2016 Apr 01;16(1):296. https://doi.org/10.1186/s12889-016-2870-y.CrossRefPubMedPubMedCentral

Sy RG, Llanes EJ, Reganit PF, et al. Socio-demographic factors and the prevalence of metabolic syndrome among filipinos from the LIFECARE cohort. J Atheroscler Thromb. 2014;21(1):S9–17. https://doi.org/10.5551/jat.21_Sup.1-S9.CrossRefPubMed

Rampal S, Mahadeva S, Guallar E, Bulgiba A, Mohamed R, Rahmat R, et al. Ethnic differences in the prevalence of metabolic syndrome: results from a multi-ethnic population-based survey in Malaysia. PLoS One. 2012;7(9):e46365. https://doi.org/10.1371/journal.pone.0046365.CrossRefPubMedPubMedCentral

Oguoma VM, Nwose EU, Richards RS. Prevalence of cardio-metabolic syndrome in Nigeria: a systematic review. Public Health. 2015;129(5):413–23. https://doi.org/10.1016/j.puhe.2015.01.017.CrossRefPubMed

Nag T, Ghosh A. Prevalence of metabolic syndrome in rural elderly of Asian Indian origin. Am J Hum Biol. 2015;27(5):724–7. https://doi.org/10.1002/ajhb.22697.CrossRefPubMed

de Carvalho VF, Bressan J, Babio N, et al. Prevalence of metabolic syndrome in Brazilian adults: a systematic review. BMC Public Health. 2013;13(1):1198. https://doi.org/10.1186/1471-2458-13-1198.CrossRef

10.

Amirkalali B, Fakhrzadeh H, Sharifi F, et al. Prevalence of Metabolic Syndrome and Its Components in the Iranian Adult Population: A Systematic Review and Meta-Analysis. Iran Red Crescent Med J. 2015;17(12).

11.

Gundogan K, Bayram F, Gedik V, Kaya A, Karaman A, Demir Ö, et al. Metabolic syndrome prevalence according to ATP III and IDF criteria and related factors in Turkish adults. Arch Med Sci. 2013;9(2):243–53. https://doi.org/10.5114/aoms.2013.34560.CrossRefPubMedPubMedCentral

12.

Benjamin EJ, Muntner P, Alonso A, et al. Heart disease and stroke Statistics-2019 update: a report from the American heart association. Circulation. 2019;139:e56–66.CrossRef

13.

Martínez-Hernández A, Córdova EJ, Rosillo-Salazar O, et al. Association of HMOX1 and NQO1 Polymorphisms with Metabolic Syndrome Components. PLoS One. 2015;10(5).

14.

Rochlani Y, Pothineni NV, Mehta JL. Metabolic syndrome: does it differ between women and men? Cardiovasc Drugs Ther. 2015;29(4):329–38. https://doi.org/10.1007/s10557-015-6593-6.CrossRefPubMed

15.

Pearson-Stuttard J, Zhou B, Kontis V, Bentham J, Gunter MJ, Ezzati M. Worldwide burden of cancer attributable to diabetes and high body-mass index: a comparative risk assessment. Lancet Diabetes Endocrinol. 2018;6(6):e6–15. https://doi.org/10.1016/S2213-8587(18)30150-5.CrossRefPubMedPubMedCentral

16.

Grundy SM. Does a diagnosis of metabolic syndrome have value in clinical practice? Am J Clin Nutr. 2006;83(6):1248–51. https://doi.org/10.1093/ajcn/83.6.1248.CrossRefPubMed

17.

Dahlgren J. Pregnancy and insulin resistance. Metab Syndr Relat Disord. 4(2):149–52.

18.

Lain KY, Catalano PM. Metabolic changes in pregnancy. Clin Obstet Gynecol. 50(4):938–48.

19.

Gilmore LA, Klempel-Donchenko M, Redman LM. Pregnancy as a window to future health: excessive gestational weight gain and obesity. Semin Perinatol. 2015;39(4):296–303. https://doi.org/10.1053/j.semperi.2015.05.009.CrossRefPubMedPubMedCentral

20.

Gongora MC, Wenger NK. Cardiovascular complications of pregnancy. Int J Mol Sci. 2015;16(10):23905–28. https://doi.org/10.3390/ijms161023905.CrossRefPubMedPubMedCentral

21.

Chen SX, Rasmussen KM, Finkelstein J,et al. Maternal reproductive history and premenopausal risk of hypertension and cardiovascular disease: a Danish cohort study. BMJ Open.2019 11 04 ;9(11) :e030702.

22.

Ness RB, Harris T, Cobb J, Flegal KM, Kelsey JL, Balanger A, et al. Number of pregnancies and the subsequent risk of cardiovascular disease. N Engl J Med. 1993;328(21):1528–33. https://doi.org/10.1056/NEJM199305273282104.CrossRefPubMed

23.

Weng HH, Bastian LA, Taylor DH Jr, et al. Number of children associated with obesity in middle-aged women and men: results from the health and retirement study. J Womens Health (Larchmt). 2004;13(1):85–91.CrossRef

24.

Ning G, Reaction Study Group. Risk evaluation of cAncers in Chinese diabetic individuals:a LONgitudinal (REACTION) study. J Diabetes. 2012;4(2):172–3. https://doi.org/10.1111/j.1753-0407.2012.00182.x.CrossRefPubMed

25.

Cho GJ, Lee JH, Park HT, Shin JH, Hong SC, Kim T, et al. Postmenopausal status according to years since menopause as an independent risk factor for the metabolic syndrome. Menopause. 2008;15(3):524–9. https://doi.org/10.1097/gme.0b013e3181559860.CrossRefPubMed

26.

Tsao YC, Li WC, Yeh WC,et al. The Association between Metabolic Syndrome and Related Factors among the Community-Dwelling Indigenous Population in Taiwan. Int J Environ Res Public Health.2020 12 02 ;17(23).

27.

Chung G, Jung HS, Kim HJ. Sociodemographic and health characteristics associated with metabolic syndrome in men and women aged ≥50 years. Metab Syndr Relat Disord. 2020 Nov;12(3):159–66. https://doi.org/10.1089/met.2020.0051.CrossRef

28.

Goh VHH, Hart WG. Excess fat in the abdomen but not general obesity is associated with poorer metabolic and cardiovascular health in premenopausal and postmenopausal Asian women. Maturitas. 2018 Jan;107:33–8. https://doi.org/10.1016/j.maturitas.2017.10.002.CrossRefPubMed

29.

Liu M, He Y, Jiang B, Wu L, Wang J, Yang S, et al. Association between reproductive variables and metabolic syndrome in chinese community elderly women. Arch Gerontol Geriatr. 2016;63:78–84. https://doi.org/10.1016/j.archger.2015.11.003.CrossRefPubMed

30.

Lee Y, Lee HN, Kim SJ, Koo J, Lee KE, Shin JE. Higher parity and risk of metabolic syndrome in Korean postmenopausal women: Korea National Health and nutrition examination survey 2010-2012. J Obstet Gynaecol Res. 2018 Nov;44(11):2045–52. https://doi.org/10.1111/jog.13766.CrossRefPubMed

31.

Iversen DS, Støy J, Kampmann U, Voss TS, Madsen LR, Møller N, et al. Parity and type 2 diabetes mellitus: a study of insulin resistance and β-cell function in women with multiple pregnancies. BMJ Open Diabetes Res Care. 2016;4(1):e000237. https://doi.org/10.1136/bmjdrc-2016-000237.CrossRefPubMedPubMedCentral

32.

Fowler-Brown AG, de Boer IH, Catov JM, Carnethon MR, Kamineni A, Kuller LH, et al. Parity and the association with diabetes in older women. Diabetes Care. 2010 Aug;33(8):1778–82. https://doi.org/10.2337/dc10-00153(8).CrossRefPubMedPubMedCentral

33.

Cohen A, Pieper CF, Brown AJ, et al. Number of children and risk of metabolic syndrome in women. J Womens Health (Larchmt). 2006;15(6):763–73.CrossRef

34.

Rodrigues AD, Theodoro H, Mendes KG, Paniz VM, de Lorenzi D, Anselmo Olinto MT. Factors associated with metabolic syndrome in climacteric women of southern Brazil. Climacteric. 2013 Feb;16(1):96–103. https://doi.org/10.3109/13697137.2012.659099.CrossRefPubMed

35.

Marchi R, Dell'Agnolo CM, Lopes TCR, et al. Prevalence of metabolic syndrome in pre- and postmenopausal women. Arch Endocrinol Metab. 2017;61(2):160–6. https://doi.org/10.1590/2359-3997000000253.CrossRefPubMed

36.

Ruan XY, Yan D, Zhang JL, et al. Interventions on metabolic syndrome in postmenopausal women. Journal of Capital Medical University. 2013;34:04,519–24.

37.

Chandalia M, Lin P, Seenivasan T, Livingston EH, Snell PG, Grundy SM, et al. Insulin resistance and body fat distribution in south Asian men compared to Caucasian men. PLoS One. 2007;2(8):e812. https://doi.org/10.1371/journal.pone.0000812.CrossRefPubMedPubMedCentral

38.

Manson JE, Rimm EB, Colditz GA, Stampfer MJ, Willett WC, Arky RA, et al. Parity and incidence of non-insulin- dependent diabetes mellitus. Am J Med. 1992 Jul;93(1):13–8. https://doi.org/10.1016/0002-9343(92)90674-Z.CrossRefPubMed

39.

Lovre D, Lindsey SH, Mauvais-Jarvis F. Effect of menopausal hormone therapy on components of the metabolic syndrome. Ther Adv Cardiovasc Dis. 2016.

Title: Correlation between parity and metabolic syndrome in Chinese women aged 40 years and older: the Reaction study
Authors: Qian Xie
Haoran Xu
Qin Wan
Publication date: 01-12-2021
Publisher: BioMed Central
Keywords: Obesity
Obesity
Hypertension
Hypertension
Published in: BMC Endocrine Disorders / Issue 1/2021
Electronic ISSN: 1472-6823
DOI: https://doi.org/10.1186/s12902-021-00902-7

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