Risk Factors for the Incidence of Gestational Diabetes Mellitus in Pregnant Women in the Third Trimester in Aceh Besar Regency, Aceh Province, and Rejang Lebong Regency, Bengkulu Province, Indonesia

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Risk Factors for the Incidence of Gestational Diabetes Mellitus in Pregnant Women in the Third Trimester in Aceh Besar Regency, Aceh Province, and Rejang Lebong Regency, Bengkulu Province, Indonesia

1Kartinazahri, 1*Cut Yuniwati, 1Iin Fitraniar, 2Kurniyati, 2Wenny Indah Purnama Eka Sari, 1Yusnaini, 1Lia Lajuna
1Department of Midwifery , Politeknik Kesehatan Kemenkes Aceh, Aceh Besar, Aceh, Indonesia.
2Department of Midwifery , Politeknik Kesehatan Kemenkes Bengkulu, Indonesia.
ABSTRACT

Background: Diabetes Mellitus (DM) is a growing global health problem, with Indonesia ranking fifth worldwide. Gestational Diabetes Mellitus (GDM) is a serious pregnancy complication that poses both acute and long-term risks to mothers and infants. This study aimed to analyze the relationship between risk factors and the incidence of GDM in third-trimester pregnant women.
Methods: This was an analytical survey with a cross-sectional design conducted in Aceh Besar Regency and Rejang Lebong Regency from April to September 2024. The study population included all third-trimester pregnant women in these areas. A total of 104 samples were selected using a purposive sampling technique. Data were collected through random blood glucose (RBG) testing and questionnaires to gather information on age, family history of DM, a previous history of GDM, and Body Mass Index (BMI). The data were analyzed using the chi-square test and logistic regression to identify the dominant risk factors.
Results: The analysis revealed that several factors were significantly associated with the incidence of GDM. Mothers aged 45 years or older had a 3.18 times higher risk (OR=3.18; p=0.042), and a family history of DM increased the risk by 2.96 times (OR=2.96; p=0.031). A previous history of GDM was the most dominant predictor, with a risk increase of 6.65 times (OR=6.65; p=0.004). Additionally, obesity significantly increased the risk of GDM by more than fivefold (OR=5.73; p=0.048).
Conclusion: This study confirms that advanced maternal age, genetic history, a previous history of GDM, and obesity are the primary risk factors for GDM in pregnant women. These findings are crucial for guiding early detection programs and targeted interventions in high-diabetes-prevalence areas to reduce GDM-related complications and the overall public health burden.


KEYWORDS

Gestational Diabetes Mellitus (GDM), Risk Factors, Pregnant Women, Maternal Age, Obesity, Family History

 

REFERENCES

1) Kapoor N, Kumar R. Primary care physicians: The silent architects of a diabetes-safe future. J Family Med Prim Care [Internet]. 2025 Apr [cited 2025 Sep 15];14(4):1153. Available from: https://pmc.ncbi.nlm.nih.gov/articles/PMC12088535/
2) Cheng R, Yang H, Shao MY, Hu T, Zhou XD. Dental erosion and severe tooth decay related to soft drinks: a case report and literature review. J Zhejiang Univ Sci B [Internet]. 2009 [cited 2025 Sep 14];10(5):395. Available from:

https://pmc.ncbi.nlm.nih.gov/articles/PMC2676420/
3) Over 250 million people worldwide unaware they have diabetes, according to new research from the International Diabetes Federation (IDF). Diabetes Res Clin Pract [Internet]. 2025 May 1 [cited 2025 Sep 15];223. Available from:

https://pubmed.ncbi.nlm.nih.gov/40220795/
4) Wahidin M, Achadi A, Besral B, Kosen S, Nadjib M, Nurwahyuni A, et al. Projection of diabetes morbidity and mortality till 2045 in Indonesia based on risk factors and NCD prevention and control programs. Sci Rep [Internet]. 2024 Dec 1 [cited 2025 Sep 15];14(1):5424.
Available from: https://pmc.ncbi.nlm.nih.gov/articles/PMC10914682/
5) Magliano DJ, Boyko EJ, committee IDA 10th edition scientific. IDF DIABETES ATLAS. IDF DIABETES ATLAS [Internet] Brussels [Internet]. 2021 [cited 2025 Sep 15];1–141. Available from:
https://www.ncbi.nlm.nih.gov/books/NBK581934/
6) Dall TM, Yang W, Halder P, Pang B, Massoudi M, Wintfeld N, et al. The economic burden of elevated blood glucose levels in 2012: Diagnosed and undiagnosed diabetes, gestational diabetes mellitus, and prediabetes. Diabetes Care. 2014 Dec 1;37(12):3172–9.
7) Domanski G, Lange AE, Ittermann T, Allenberg H, Spoo RA, Zygmunt M, et al. Evaluation of neonatal and maternal morbidity in mothers with gestational diabetes: a population-based study. BMC Pregnancy Childbirth. 2018 Sep 10;18(1):367.
8) Indriani I, Hardyanti S. A Descriptive Study of Gestational Diabetes Mellitus in Yogyakarta. Journal of Maternal and Child Health [Internet]. 2022 Mar 16 [cited 2025 Sep 15];7(2):183–92. Available from:
https://thejmch.com/index.php/thejmch/article/view/744
9) Le HM, Nguyen TA, Nguyen DK, Søndergaard Linde D, Bygbjerg IC, Søndergaard J, et al. Prevalence and risk factors of gestational diabetes mellitus among pregnant women in northern Vietnam: a cross-sectional study. Glob Health Action. 2025;18(1).
10) Fan Y, Zhong H, Cai L, Xiao Y. An age matched case-control study on the risk factors for the gestational diabetes mellitus among primiparous women. Journal of Central South University (Medical Sciences). 2021 Dec 1;46(12):1346–53.
11) Wei YM, Liu XY, Shou C, Liu XH, Meng WY, Wang ZL, et al. Value of fasting plasma glucose to screen gestational diabetes mellitus before the 24th gestational week in women with different pre-pregnancy body mass index. Chin Med J (Engl). 2019 Apr 20;132(8):883–8.
12) Dewi RS, Martini S, Isfandiari MA. Prevalence and risk factors for gestational diabetes in Jambi, Indonesia. Afr J Reprod Health [Internet]. 2024 [cited 2025 Sep 15];28(10s):118–24. Available from: https://pubmed.ncbi.nlm.nih.gov/39636060/
13) Pullinger CR, Goldfine ID, Tanyolaç S, Movsesyan I, Faynboym M, Durlach V, et al. Evidence that an HMGA1 gene variant associates with type 2 diabetes, body mass index, and high-density lipoprotein cholesterol in a Hispanic-American population. Metab Syndr Relat Disord. 2014 Feb 1;12(1):25–30.
14) Jiwani A, Marseille E, Lohse N, Damm P, Hod M, Kahn JG. Gestational diabetes mellitus: Results from a survey of country prevalence and practices. Journal of Maternal-Fetal and Neonatal Medicine. 2012 Jun;25(6):600–10.
15) Sweeting A, Wong J, Murphy HR, Ross GP. A Clinical Update on Gestational Diabetes Mellitus. Endocr Rev. 2022 Oct 1;43(5):763–93.
16) Mittal R, Prasad K, Lemos JRN, Arevalo G, Hirani K. Unveiling Gestational Diabetes: An Overview of Pathophysiology and Management. International Journal of Molecular Sciences 2025, Vol 26, Page 2320 [Internet]. 2025 Mar 5 [cited 2025 Sep 15];26(5):2320. Available from: https://www.mdpi.com/1422-0067/26/5/2320/html
17) Yang Y, Wu N. Gestational Diabetes Mellitus and Preeclampsia: Correlation and Influencing Factors. Front Cardiovasc Med. 2022 Feb 16;9.
18) Mora-Ortiz M, Rivas-García L. Gestational Diabetes Mellitus: Unveiling Maternal Health Dynamics from Pregnancy Through Postpartum Perspectives. Open Research Europe [Internet]. 2024 Nov 12 [cited 2025 Sep 15];4:164. Available from: https://pmc.ncbi.nlm.nih.gov/articles/PMC11443192/
19) Lee J, Lee NK, Moon JH. Gestational Diabetes Mellitus: Mechanisms Underlying Maternal and Fetal Complications. Endocrinology and Metabolism [Internet]. 2025 Feb 1 [cited 2025 Sep 15];40(1):10. Available from: 

https://pmc.ncbi.nlm.nih.gov/articles/PMC11898322/
20) Ali N, Aldhaheri AS, Alneyadi HH, Alazeezi MH, Al Dhaheri SS, Loney T, et al. Effect of Gestational Diabetes Mellitus History on Future Pregnancy Behaviors: The Mutaba’ah Study. International Journal of Environmental Research and Public Health 2021, Vol 18, Page 58 [Internet]. 2020 Dec 23 [cited 2025 Sep 15];18(1):58. Available from: https://www.mdpi.com/1660-4601/18/1/58/htm
21) Chen A, Tan B, Du R, Chong YS, Zhang C, Koh AS, et al. Gestational diabetes mellitus and development of intergenerational overall and subtypes of cardiovascular diseases: a systematic review and meta-analysis. Cardiovasc Diabetol [Internet]. 2024 Dec 1 [cited 2025 Sep 15];23(1):1–15. Available from:
https://cardiab.biomedcentral.com/articles/10.1186/s12933-024-02416-7
22) Zhang Y, Li X, Zhang Z, Wu H. Maternal glycemic profiles during pregnancy and predelivery correlate with neonatal glucose homeostasis and jaundice risk: a prospective cohort study. Transl Pediatr [Internet]. 2024 Nov 30 [cited 2025 Sep 15];13(11):2012–25. Available from: https://pmc.ncbi.nlm.nih.gov/articles/PMC11621890/
23) He J, Song J, Zou Z, Fan X, Tian R, Xu J, et al. Association between neonatal hyperbilirubinemia and hypoglycemia in Chinese women with diabetes in pregnancy and influence factors. Sci Rep [Internet]. 2022 Dec 1 [cited 2025 Sep 15];12(1):16975. Available from: https://pmc.ncbi.nlm.nih.gov/articles/PMC9550859/
24) Reno CM, Skinner A, Bayles J, Chen YS, Daphna-Iken D, Fisher SJ. Severe hypoglycemia-induced sudden death is mediated by both cardiac arrhythmias and seizures. Am J Physiol Endocrinol Metab [Internet]. 2018 Aug 1 [cited 2025 Sep 15];315(2):E240. Available from: https://pmc.ncbi.nlm.nih.gov/articles/PMC6139495/
25) Kim C, Newton KM, Knopp RH. Gestational diabetes and the incidence of type 2 diabetes: a systematic review. Diabetes Care [Internet]. 2002 [cited 2025 Sep 15];25(10):1862–8. Available from: https://pubmed.ncbi.nlm.nih.gov/12351492/
26) Kim C, Berger DK, Chamany S. Recurrence of gestational diabetes mellitus: a systematic review. Diabetes Care [Internet]. 2007 May [cited 2025 Sep 15];30(5):1314–9. Available from: https://pubmed.ncbi.nlm.nih.gov/17290037/
27) Dong B, Yu H, Wei Q, Zhi M, Wu C, Zhu X, et al. The effect of pre-pregnancy body mass index and excessive gestational weight gain on the risk of gestational diabetes in advanced maternal age. Oncotarget [Internet]. 2017 [cited 2025 Sep 15];8(35):58364. Available from: https://pmc.ncbi.nlm.nih.gov/articles/PMC5601658/
28) Yong HY, Shariff ZM, Yusof BNM, Rejali Z, Tee YYS, Bindels J, et al. Higher Parity, Pre-Pregnancy BMI and Rate of Gestational Weight Gain Are Associated with Gestational Diabetes Mellitus in Food Insecure Women. Int J Environ Res Public Health [Internet]. 2021 Mar 1 [cited 2025 Sep 15];18(5):1–11. Available from:
https://pubmed.ncbi.nlm.nih.gov/33800084/
29) Yong HY, Shariff ZM, Yusof BNM, Rejali Z, Tee YYS, Bindels J, et al. Pre-Pregnancy BMI Influences the Association of Dietary Quality and Gestational Weight Gain: The SECOST Study. International Journal of Environmental Research and Public Health 2019, Vol 16, Page 3735 [Internet]. 2019 Oct 4 [cited 2025 Sep 15];16(19):3735. Available from: https://www.mdpi.com/1660-4601/16/19/3735/htm
30) Rahnemaei FA, Abdi F, Kazemian E, Shaterian N, Shaterian N, Behesht Aeen F. Association between body mass index in the first half of pregnancy and gestational diabetes: A systematic review. SAGE Open Med [Internet]. 2022 [cited 2025 Sep 15];10:20503121221109910. Available from: https://pmc.ncbi.nlm.nih.gov/articles/PMC9310335/

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