Association between risk factors and type of diabetes in Peruvian health users

Authors

DOI:

https://doi.org/10.15517/arpnt836

Keywords:

Risk factors, obesity, hypertension, diabetes mellitus type 2, patients

Abstract

Introduction: Risk factors have become established in today's society and are associated with the prevalence of chronic diseases. Objective: To determine the association between risk factors and type of diabetes in Peruvian health care users. Methodology: This was a cross-sectional, relational study. The Peruvian population studied consisted of 1,022,695 individuals, and data were obtained from the national open data platform. Statistical analysis included absolute and relative counts, medians, quartiles, 95% confidence intervals, and hypothesis tests using chi-square goodness-of-fit and chi-square independence tests, with a significance level of p < 0.05. Results: The median age of users with type 2 diabetes was 58 years, and the median time since diagnosis was 43 months. The majority were women (66.9%), with obesity (65.4%) and hypertension (39.0%), and the prevalence of the disease was 72.0%. Factors associated with the type of diabetes were age 60 years or older (p < 0.001), female sex (p < 0.001), time since diagnosis of 60 months or more (p < 0.001), obesity (p < 0.001), and hypertension (p < 0.001). Conclusions: The risk factors evaluated show a statistically significant association with the type of diabetes, highlighting the proportional differences towards type 2 diabetes, obesity, followed by older age, hypertension, female sex and time of diagnosis, in light of this, emphasizing primary prevention measures and adequate management of risk factors by region, can greatly contribute to the control of diabetes.

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References

Fan, G., Liu, Q., Bi, J., Qin, X., Fang, Q., Luo, F., Huang, X., Li, H., Wang, Y., & Song, L. (2024). Reproductive factors, genetic susceptibility and risk of type 2 diabetes: A prospective cohort study. Diabetes Metab, 50(5), 101560.

https://doi.org/10.1016/j.diabet.2024.101560 DOI: https://doi.org/10.1016/j.diabet.2024.101560

Fernandez Escobar, R., Santos-Lozada, A.R., Barrantes, N., Clausen, J., Trivelli, C., & Muñoz, I.G. (2026). Aging across unequal landscapes in Perú: demographic transition, diverging paths, and policy challenges. Gerontologist, 66(5), gnag038.

https://doi.org/10.1093/geront/gnag038 DOI: https://doi.org/10.1093/geront/gnag038

Galindo, J. (2015). El concepto de riesgo en las teorías de Ulrich Beck y Niklas Luhmann. Acta Sociológica, 67, 141–164. DOI: https://doi.org/10.1016/j.acso.2015.03.005

https://www.sciencedirect.com/science/article/pii/S0186602815000262#bbib0020

Glintborg, D., Ollila, M.M., Møller, J.K., Pesonen, P., Persson, S., Elenis, E., Rubin, K.H., Gissler, M., Andersen, M.S., Sundström-Poromaa, I., & Piltonen, T. (2024). Prospective risk of Type 2 diabetes in 99 892 Nordic women with polycystic ovary syndrome and 446 055 controls: national cohort study from Denmark, Finland, and Sweden. Hum Reprod, 39(8), 1823-1834. https://doi.org/10.1093/humrep/deae124 DOI: https://doi.org/10.1093/humrep/deae124

Hernández-Teixidó, C., Barrot de la Puente, J., Miravet Jiménez, S., Fernández-Camins, B., Mauricio, D., Romero Aroca, P., Vlacho, B., & Franch-Nadal, J. (2024). Incidence of Diabetic Retinopathy in Individuals with Type 2 Diabetes: A Study Using Real-World Data. J Clin Med, 13(23), 7083. https://doi.org/10.3390/jcm13237083 DOI: https://doi.org/10.3390/jcm13237083

Hu, S., Ji, W., Zhang, Y., Zhu, W., Sun, H., & Sun, Y. (2025). Risk factors for progression to type 2 diabetes in prediabetes: a systematic review and meta-analysis. BMC Public Health, 25(1), 1220. https://doi.org/10.1186/s12889-025-21404-4 DOI: https://doi.org/10.1186/s12889-025-21404-4

Hu, X.H., Chen, Y., Zhang, Z.H., Chen, C., Qu, Y.L., Meng, X., Wang, J., Xu, Z., Li, Z., Liu, S., Shi, W., Xue, Z., Long, F., Shi, X., & Lyu, Y. (2025). [Association between dietary behavior and type 2 diabetes in the older adults aged 65 years and over in 18 longevity areas of China]. Zhonghua Yu Fang Yi Xue Za Zhi, 59(5), 588-596. Chinese.

https://doi.org/10.3760/cma.j.cn112150-20241231-01064

Hua, R., Yang, A., Gao, L., Chow, E., Ji, W., & Cheung, Y.T. (2025). Social determinants of health and progression to cardio-renal-metabolic multimorbidity and mortality in people with prediabetes: A prospective cohort study. Diabetes Obes Metab, 27(11), 6605-6614. https://doi.org/10.1111/dom.70067 DOI: https://doi.org/10.1111/dom.70067

Karabaeva, R.Z., Vochshenkova, T.A., Mussin, N.M., Albayev, R.K., Kaliyev, A.A., & Tamadon, A. (2024). Epigenetics of hypertension as a risk factor for the development of coronary artery disease in type 2 diabetes mellitus. Front Endocrinol (Lausanne), 15, 1365738.

https://doi.org/10.3389/fendo.2024.1365738 DOI: https://doi.org/10.3389/fendo.2024.1365738

Kolcu, M., Bulbul, E., Celik, S., & Anataca, G. (2023). The relationship between health literacy and successful aging in elderly individuals with type 2 diabetes. Prim Care Diabetes, 17(5), 473-478. https://doi.org/10.1016/j.pcd.2023.06.009 DOI: https://doi.org/10.1016/j.pcd.2023.06.009

Li, R., Tian, S., Liu, J., Li, R., Zhu, K., Lu, Q., Qiu, Z., Yu, H., Li, L., Franco, O.H., Pan, A., Liao, Y., & Liu, G. (2025). Modifiable risk factors and plasma proteomics in relation to complications of type 2 diabetes. Nat Commun, 16(1), 2896.

https://doi.org/10.1038/s41467-025-57830-6 DOI: https://doi.org/10.1038/s41467-025-57830-6

Li, S., Yang, B., Shang, S., & Jiang, W. (2025). Association of hypertension and long-term blood pressure changes with new-onset diabetes in the elderly: A 10-year cohort study. Diabetes Obes Metab, 27(1), 92-101. https://doi.org/10.1111/dom.15986 DOI: https://doi.org/10.1111/dom.15986

Liu, Z., Zhou, L., Zhao, W., Jin, L., Zhang, J., Zhang, Y., Li, Y., Deng, G., He, J., Zhao, X., Zheng, W., Tian, Y., Wu, J., Xiao, J., & Gao, J. (2025). Predict and prevent microvascular complications of type 2 diabetes: a cross-sectional and longitudinal study in Chinese communities. Front Endocrinol (Lausanne), 16, 1541663.

https://doi.org/10.3389/fendo.2025.1541663 DOI: https://doi.org/10.3389/fendo.2025.1541663

Lv, C., & Huo, R. (2024). Association between visceral adiposity index, lipid accumulation product and type 2 diabetes mellitus in US adults with hypertension: a cross-sectional analysis of NHANES from 2005 to 2018. BMC Endocr Disord, 24(1), 216.

https://doi.org/10.1186/s12902-024-01750-x DOI: https://doi.org/10.1186/s12902-024-01750-x

Ma, F., & Sen, R. (2026). Physiological aging in three dimensions. Trends Cell Biol, 36(3), 230-245. https://doi.org/10.1016/j.tcb.2025.08.002 DOI: https://doi.org/10.1016/j.tcb.2025.08.002

Muscogiuri, G., Caporusso, M., Caruso, P., Poggi, C.D., Vitale, M., Zurru, A., & Colao, A. (2025). Italian Study Group on Gender Difference in Endocrine Diseases. Current evidence on gender-related risk factors for type 1 diabetes, type 2 diabetes and prediabetes: a reappraisal of the Italian study group on gender difference in endocrine diseases. J Endocrinol Invest, 48(3), 573-585.

https://doi.org/10.1007/s40618-024-02491-3 DOI: https://doi.org/10.1007/s40618-024-02491-3

Pan, L., Liu, Y., Huang, C., Huang, Y., Lin, R., Wei, K., Yao, Y., Qin, G., & Yu, Y. (2025). Association of accelerated phenotypic aging, genetic risk, and lifestyle with progression of type 2 diabetes: a prospective study using multi-state model. BMC Med, 23(1), 62. https://doi.org/10.1186/s12916-024-03832-y DOI: https://doi.org/10.1186/s12916-024-03832-y

Ritchie, S.C., Taylor, H.J., Liang, Y., Manikpurage, H.D., Pennells, L., Foguet, C., Abraham, G., Gibson, J.T., Jiang, X., Liu, Y., Xu, Y., Kim, L.G., Mahajan, A., McCarthy, M.I., Kaptoge, S., Lambert, S.A., Wood, A., Sim, X., Collins, F.S., Denny, J.C., Danesh, J., Butterworth, A.S., Angelantonio, E.D., & Inouye, M. (2024). Integrated clinical risk prediction of type 2 diabetes with a multifactorial polygenic risk score. medRxiv [Preprint], 2024.08.22.24312440. https://doi.org/10.1101/2024.08.22.24312440 DOI: https://doi.org/10.1101/2024.08.22.24312440

Seguro Integral de Salud del Perú. (2024). Plataforma nacional de datos abiertos, Afiliados activos en el Seguro Integral de Salud con diagnóstico de diabetes mellitus - [SIS]. Seguro Integral de Salud del Perú.

https://datosabiertos.gob.pe/dataset/afiliados-activos-en-el-seguro-integral-de-salud-con-diagn%C3%B3stico-de-diabetes-mellitus-sis

Silva, J.C.D.E., Anghinoni, I.C.A.B., & Gomes, M.B. (2024). Plant-Based Food for the Prevention of Type 2 Diabetes: Scoping Review. Nutrients, 16(11), 1671. https://doi.org/10.3390/nu16111671 DOI: https://doi.org/10.3390/nu16111671

Solela, G., Gessesse, H.A., Zegeye, H., Worku, A., & Leulseged, B. (2024). Prevalence, patterns, and determinants of vascular complications of type 2 diabetes in a teaching hospital in Addis Ababa, Ethiopia: a retrospective study. BMC Endocr Disord, 24(1), 190. https://doi.org/10.1186/s12902-024-01731-0 DOI: https://doi.org/10.1186/s12902-024-01731-0

Strati, M., Moustaki, M., Psaltopoulou, T., Vryonidou, A., & Paschou, S.A. (2024). Early onset type 2 diabetes mellitus: an update. Endocrine, 85(3), 965-978.

https://doi.org/10.1007/s12020-024-03772-w DOI: https://doi.org/10.1007/s12020-024-03772-w

Suda, M., Paul, K.H., Tripathi, U., Minamino, T., Tchkonia, T., & Kirkland, J.L. (2024). Targeting Cell Senescence and Senolytics: Novel Interventions for Age-Related Endocrine Dysfunction. Endocr Rev, 45(5), 655-675. https://doi.org/10.1210/endrev/bnae010 DOI: https://doi.org/10.1210/endrev/bnae010

Sun, Y., Shan, X., Li, M., Niu, Y., Sun, Z., Ma, X., Wang, T., Zhang, J., & Niu, D. (2025). Autoimmune mechanisms and inflammation in obesity-associated type 2 diabetes, atherosclerosis, and non-alcoholic fatty liver disease. Funct Integr Genomics, 25(1), 84. https://doi.org/10.1007/s10142-025-01587-0 DOI: https://doi.org/10.1007/s10142-025-01587-0

Tripathy, J.P. (2013). Secondary Data Analysis: Ethical Issues and Challenges. Iran J Public Health, 42(12), 1478-1479. https://pmc.ncbi.nlm.nih.gov/articles/PMC4441947/

Varalakshmi, D., Rekha, K., & Mohammed, R. (2024). Type 2 Diabetes Mellitus Prevalence and Associated Risk Factors in Postmenopausal Women. Cureus, 16(5), e60247.

https://doi.org/10.7759/cureus.60247 DOI: https://doi.org/10.7759/cureus.60247

Varra, F.N., Varras, M., Varra, V.K., & Theodosis-Nobelos, P. (2024). Molecular and pathophysiological relationship between obesity and chronic inflammation in the manifestation of metabolic dysfunctions and their inflammation‑mediating treatment options (Review). Mol Med Rep, 29(6), 95. https://doi.org/10.3892/mmr.2024.13219 DOI: https://doi.org/10.3892/mmr.2024.13219

Wang, D., Chen, Z., Wu, Y., Ren, J., Shen, D., Hu, G., & Mao, C. (2024). Association between two novel anthropometric measures and type 2 diabetes in a Chinese population. Diabetes Obes Metab, 26(8), 3238-3247. https://doi.org/10.1111/dom.15651 DOI: https://doi.org/10.1111/dom.15651

Xin, W., Xu, D., Dou, Z., Jacques, A., Umbella, J., Fan, Y., Zhang, L., Yang, H., Cai, H., & Hill, A.M. (2025). Association between chronic diseases and lifestyle risk factors among community-dwelling older adults: a retrospective cross-sectional Chinese population-based study. Front Public Health, 13, 1435385.

https://doi.org/10.3389/fpubh.2025.1435385 DOI: https://doi.org/10.3389/fpubh.2025.1435385

Zhang, Y., Song, M., Wang, M., Hertzmark, E., Wu, K., Eliassen, A.H., Mucci, L.A., Sun, Q., Stampfer, M.J., Willett, W.C., Hu, F.B., & Giovannucci, E.L. (2024). All-cause and cause-specific mortality risk and loss in life expectancy associated with incident type 2 diabetes onset age and duration. J Intern Med, 296(3), 260-279. https://doi.org/10.1111/joim.13817 DOI: https://doi.org/10.1111/joim.13817

Zhou, H., Li, T., Li, J., Zhuang, X., & Yang, J. (2024). The association between visceral adiposity index and risk of type 2 diabetes mellitus. Sci Rep, 14(1), 16634.

https://doi.org/10.1038/s41598-024-67430-x DOI: https://doi.org/10.1038/s41598-024-67430-x

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Published

2026-09-17