Factors Associated with the Incidence of Prediabetes in Bogor, Indonesia: A Cohort Study.

Adzkia Avisena Maghfiroh, Chandrayani Simanjorang, Ulya Qoulan Karima
Author Information
  1. Adzkia Avisena Maghfiroh: Public Health Study Program, Faculty of Health Sciences, Pembangunan National University, Jakarta, Indonesia. ORCID
  2. Chandrayani Simanjorang: Public Health Study Program, Faculty of Health Sciences, Pembangunan National University, Jakarta, Indonesia. ORCID
  3. Ulya Qoulan Karima: Public Health Study Program, Faculty of Health Sciences, Pembangunan National University, Jakarta, Indonesia.

Abstract

BACKGROUND: Prediabetes is a golden period because the blood sugar levels can be lowered to normal levels, unlike diabetes mellitus. Studies on risk factors of prediabetes in Indonesia have never been conducted before, especially with cohort study design. The purpose of this study was to identify risk factors associated with prediabetes in Indonesia based on a cohort study conducted in Bogor, Indonesia. A retrospective cohort study.
METHODS: This study was conducted using data from the Bogor Cohort Study done by the Ministry of Health of Indonesia, which included individuals aged more than 25 years. Individuals who had impaired fasting glucose (IFG) (100-125 mg/dL) and/or impaired glucose tolerance (IGT) (140-199 mg/dL) at baseline screening were excluded from the study. Demographic characteristics, risk factors, and clinical observations were extracted using a questionnaire. Cox regression was used for data analysis.
RESULTS: The cumulative incidence of prediabetes in Bogor was 50.3%. Factors associated with prediabetes were old age (RR: 1.33; 95% CI 1.19, 1.47), female gender (RR: 1.32; 95% CI 1.18, 1.48), overweight (RR: 1.17; 95% CI 1.01, 1.36), obesity (RR: 1.26; 95% CI 1.08, 1.46), central obesity (RR: 1.17; 95% CI 1.02, 1.34), high cholesterol levels (RR: 1.11; 95% CI 1.00, 1.22), and hypertension (RR: 1.27; 95% CI 1.14, 1.42).
CONCLUSION: Age is a dominant risk factor for prediabetes. Therefore, it is important to stick to a healthy lifestyle by doing more physical activities and maintaining a balanced diet since young age to prevent prediabetes.

Keywords

References

  1. Ann Fam Med. 2016 Jul;14(4):304-10 [PMID: 27401417]
  2. Popul Health Manag. 2017 Jun;20(3):216-223 [PMID: 27689627]
  3. BMC Endocr Disord. 2022 Mar 19;22(1):72 [PMID: 35305637]
  4. Diabetes Metab Syndr Obes. 2023 Jan 11;16:85-93 [PMID: 36760587]
  5. Ann Transl Med. 2020 Dec;8(23):1580 [PMID: 33437779]
  6. BMJ Open Diabetes Res Care. 2020 Nov;8(2): [PMID: 33214188]
  7. Front Endocrinol (Lausanne). 2023 Apr 18;14:1111791 [PMID: 37143738]
  8. Ann Glob Health. 2019 Jul 22;85(1): [PMID: 31348623]
  9. Int J Endocrinol. 2021 Nov 11;2021:2520806 [PMID: 34804156]
  10. Diabetes Metab Syndr Obes. 2022 Mar 03;15:713-721 [PMID: 35264865]
  11. Diabetes Metab Syndr Obes. 2021 Jan 22;14:345-353 [PMID: 33519222]
  12. Int J Mol Sci. 2022 Aug 09;23(16): [PMID: 36012115]
  13. BMJ. 2022 Dec 7;379:e072385 [PMID: 36740855]
  14. J Obes. 2022 Dec 10;2022:4851044 [PMID: 36536959]
  15. J Diabetes Res. 2018 Apr 24;2018:2194604 [PMID: 29850599]
  16. Front Endocrinol (Lausanne). 2023 Jul 13;14:1227489 [PMID: 37522127]
  17. BMC Public Health. 2023 May 25;23(1):958 [PMID: 37231408]
  18. Diabetes Care. 2023 Jul 1;46(7):1388-1394 [PMID: 37196350]

MeSH Term

Humans
Prediabetic State
Indonesia
Male
Female
Adult
Retrospective Studies
Risk Factors
Incidence
Middle Aged
Blood Glucose
Obesity
Age Factors
Overweight
Sex Factors
Aged
Hypertension
Proportional Hazards Models

Chemicals

Blood Glucose

Word Cloud

Created with Highcharts 10.0.01studyRR:95%CIprediabetesIndonesiariskfactorsBogorPrediabeteslevelsconductedcohortCohortassociatedusingdataStudyimpairedglucosemg/dLincidenceFactorsage17obesityBACKGROUND:goldenperiodbloodsugarcanlowerednormalunlikediabetesmellitusStudiesneverespeciallydesignpurposeidentifybasedretrospectiveMETHODS:doneMinistryHealthincludedindividualsaged25yearsIndividualsfastingIFG100-125and/ortoleranceIGT140-199baselinescreeningexcludedDemographiccharacteristicsclinicalobservationsextractedquestionnaireCoxregressionusedanalysisRESULTS:cumulative503%old331947femalegender321848overweight0136260846central0234highcholesterol110022hypertension271442CONCLUSION:AgedominantfactorThereforeimportantstickhealthylifestylephysicalactivitiesmaintainingbalanceddietsinceyoungpreventAssociatedIncidenceIndonesia:CumulativeRisk

Similar Articles

Cited By

No available data.