Exploring the relationship between occurrence of dyslipidemia and type 2 diabetes: a longitudinal study
1Akhtar saeed trust hospital Lahore
2Hospital is Divisional
Headquarters Teaching Hospital Mirpur Azad Kashmir
3Azad Jammu and Kashmir Medical College Muzaffarabad.
4Hospital is Divisional Headquarters Teaching Hospital Mirpur Azad Kashmir
5Poonch medical college Rawalakot
6Hospital is Divisional Headquarters Teaching Hospital Mirpur Azad Kashmir
7Department of Agricultural, Food and Environmental Sciences. Università Politécnica delle Marche Via Brecce Bianche 10, 60131 Ancona (AN) Italy
ABSTRACT
Background: Dyslipidemia and type 2 diabetes are two interrelated metabolic disorders with significant health implications. Understanding their relationship over time is crucial for effective management and prevention strategies. However, longitudinal studies exploring this relationship are limited.
Aim: This study aimed to investigate the longitudinal relationship between the occurrence of dyslipidemia and type 2 diabetes over a period of one year.
Methods: A longitudinal study was conducted involving a study population of 90 individuals. Participants were recruited from May 2023 to April 2024. Baseline assessments were conducted to determine the presence of dyslipidemia and type 2 diabetes using standardized diagnostic criteria. Follow-up assessments were carried out at regular intervals over the study duration to track the occurrence and progression of both conditions.
Results: Analysis of the longitudinal data revealed a significant association between dyslipidemia and the development of type 2 diabetes over the study period. Individuals with dyslipidemia at baseline were found to have a higher risk of developing type 2 diabetes compared to those without dyslipidemia. Furthermore, the presence of type 2 diabetes was associated with worsening lipid profiles over time.
Conclusion: This longitudinal study provides valuable insights into the bidirectional relationship between dyslipidemia and type 2 diabetes. The findings underscore the importance of early detection and management of dyslipidemia in individuals at risk for type 2 diabetes, and vice versa. Targeted interventions addressing both conditions simultaneously may lead to better health outcomes and reduced risk of complications.
Keywords: Dyslipidemia, type 2 diabetes, longitudinal study, metabolic disorders, risk assessment.
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