Latent Class Analysis of the cardiometabolic risk factors in children and adolescents: the CASPIAN-V study

Authors

  • Armita Mahdavi-Gorabi Department of Basic and Clinical Research, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
  • Gita Shafiee Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
  • Kimia Ghaderi Department of Pediatrics, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
  • Mostafa Qorbani Non-Communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran
  • Ramin Heshmat Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
  • Roya Kelishadi Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non-communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran
  • Zeinab Ahadi Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
Abstract:

Background: Cardio-metabolic syndrome indicates the clustering of several risk factors. The aims of this study were to identify the subgroups of the Iranian children and adolescents on the basis of the components of the cardio-metabolic syndrome and assess the role of demographic characteristics, socioeconomic status and life style related behaviors on the membership of participants in each latent class.  Methods:  This cross sectional study was performed on 3730 Iranian students in 2015 using stratified cluster. All students in each class completed anonymous and structured questionnaires. Abdominal obesity, high triglyceride (TG), low high-density lipoprotein (HDL), high blood pressure (BP), high fasting blood sugar (FBS), high low-density lipoprotein (LDL), high cholesterol and obesity were used for assessing pattern of cardio metabolic risk as a latent variable. Data analysis was performed using PROC LCA in SAS software. Results: Four latent classes were identified in this study; namely 1) healthy (59.6%), 2) low risk (20.4%), 3) moderate risk (13.7%) and 4) high risk (6.4%). Being girl (OR=0.59, 95% CI: 0.46-0.74), living in rural area (OR=0.45, 95% CI;0.33-0.60), high screen time (OR=1.56, 95% CI:1.09-2.24), and parental obesity (OR=1.52, 95% CI: 1.18-1.95) were associated with moderate risk class. Only living in rural area (OR=0.71, 95% CI; 0.51-0.99) was associated with high risk class. Conclusion: About 20% of the students are in the moderate risk and high risk classes.  Design and implementation of interventions according to risk-based class seems necessary with considering probably risk and protective factors for prevention of complications of cardiometabolic syndrome.

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Journal title

volume 11  issue None

pages  370- 376

publication date 2020-06

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