Original Articles Vol. 2 No. 2 (2025): Trends in Biosciences Research Published 2025-12-31

HORMONAL AND NEUROPSYCHIATRIC CORRELATES OF SLEEP DISORDERS IN PATIENTS WITH METABOLIC SYNDROME

Authors

  • Aamir Hussain Services Institute of Medical Sciences, Lahore, Pakistan Pakistan Author
  • Nida Saleem Department of Psychiatry, Dow University of Health Sciences, Karachi, Pakistan Pakistan Author
  • Usman Tariq Aga Khan University Hospital, Karachi, Pakistan Pakistan Author

Abstract

The study investigates hormonal and neuropsychiatric correlations of sleep disturbs in the context of people with the metabolic syndrome and uses simulated datasets to represent a complex combination of physiological and psychological processes.  The study incorporated nine comprehensive tables and twelve complex visuals to assess variability of hormonal markers, metabolic biomarkers, inflammatory index and neuropsychiatric variables.  The findings indicated that significant endocrine indicators changed significantly, and stress hormone-related and metabolic hormones were highly correlated with more significant sleep disturbances.  The patterns of neuropsychiatric markers were widely dispersed, which means that the cognitive and emotional impairment of the affected persons varies.  Metabolic biomarkers, in particular, inflammatory-linked biomarkers, glucose metabolism biomarkers, and lipid imbalance biomarkers exhibited significant variability, as it is consistent with current studies that attribute metabolic instability to sleep disturbances.  These results were supported by figure-based researches that portrayed interdependent patterns among hormonal changes, neuropsychiatric responses, and the magnitude of sleep disorders.  It has been shown that sleep disturbances in metabolic syndrome are the combined effect of endocrinal dysregulation, metabolic dissimilarity, and neuropsychiatric pressure in place of the distinct physiological abnormalities.  This highlights the importance of multidomain screening procedures and specific treatment paths that would take into account both physiological and psychological determinants of sleep disorders.  Although the study is based on simulated data, it presents a strong theoretical foundation of future empirical studies aimed at improving the diagnosis and treatment outcomes of sleep disorders among the populations with metabolic syndrome.

Keywords

  • Metabolic syndrome
  • sleep disorders
  • hormonal imbalance
  • neuropsychiatric markers
  • endocrine dysregulation
  • metabolic biomarkers

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