Evidence map›Paper›PMID 39901159›Full record

ArticleBMC public health2025

Metabolic control and its associated factors in type 1 diabetic people: longitudinal trajectory modeling.

Zahra Khosravi, Ali Taghipour, Monavar Afzalaghaee, Habibollah Esmaily, Ahmad Khosravi

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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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5 authors.

Zahra KhosraviDepartment of Epidemiology, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
Ali TaghipourDepartment of Epidemiology, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran. TaghipourA@mums.ac.ir.
Monavar AfzalaghaeeDepartment of Epidemiology, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
Habibollah EsmailyDepartment of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
Ahmad KhosraviDepartment of Epidemiology, School of Public Health, Shahroud University of Medical Sciences, Shahroud, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetes is a chronic disease, and hyperglycemia can increase the risk of diabetic complications and the need for more inpatient services. Therefore, the prevention and control of diabetes are important. This study aimed to identify the trajectories of metabolic control and its correlates in people with type 1 diabetes.

methodThis is a longitudinal study with 2020 type 1 diabetic individuals aged 18 to 59 years. The participants' glycosylated hemoglobin (HbA

resultsThe results showed four trajectories of safe controlled (46.2%), moderate stable risk (28.7%), moderate increasing risk (12.5%), and high decreasing risk trajectory (12.6%) (entropy = 0.70). The results of multinomial logistic regression showed dyslipidemia could increase the odds of being in the three risk trajectories. Education, physical inactivity, and poor psychological status could also increase the odds of being in the moderate stable and high decreasing trajectories. Moreover, sex, job, and BMI could increase the odds of being in the high decreasing risk group (p < 0.05).

conclusionSince there are different trajectories of metabolic control of diabetes, it is necessary for healthcare providers and health experts to plan behavioral interventions based on the location of individuals in different trajectories and the related significant risk factors. In this way, appropriate prevention, care, and treatment programs can be provided for the people in each group.

Indexed as

Diabetes Mellitus, Type 1AdolescentAdultChinaFemaleGlycated HemoglobinHumansLogistic ModelsLongitudinal StudiesMaleMiddle AgedRisk FactorsYoung AdultGlycated HemoglobinGlycosylated hemoglobinLatent class growth modelingType 1 diabetes

Identifiers

PMID39901159
PMCPMC11792181

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