Genetic Clockwork Deciphering Circadian Rhythm-Associated Genes variations in Shift Workers

Genetic Clockwork: Deciphering Circadian Rhythm-Associated Genes variations in Shift Workers and the effects of Interventions across Metabolic Syndrome Groups - NIL

Status

Recruiting

Phases

Phase 3Phase 4

Study type

Observational

Source

CTRI

Registry ID

CTRI/2025/10/096251

Enrollment

210

Registered

2025-10-21

Start date

Unknown

Completion date

Unknown

Last updated

2025-11-17

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

Intervention1: Nil: Nil Intervention2: Nil: Nil

Eligibility

Inclusion criteria

Inclusion criteria: The participant is willing to sign IEC approved Informed consent will be recruited meet the following criteria 1.Adults aged 25-65 years. 2.Representing NDW, SW, and NSW. 3.No history of sleep disorders or psychiatric conditions.

Exclusion criteria

Exclusion criteria: 1.Individuals with type 1 diabetes and secondary diabetes. 2.Pregnant individuals.

Design outcomes

Primary

Measure	Time frame
The expected outcomes include actionable insights into designing personalized interventions that optimize circadian alignment, potentially improving metabolic outcomes in night shift workers with specific disorders.Timepoint: From baseline to end of study at year1, year 2, year3 and year 4	—

Secondary

Measure	Time frame
To assess the association between chronotype at morningness to eveningness preference and the severity of metabolic parameters e.g., insulin resistance, BMI, glycaemic variability in shift workers. Helps stratify participants based on intrinsic biological clock tendencies and tailor interventions more precisely. To evaluate the feasibility, adherence, and participant satisfaction with personalized lifestyle interventions aligned with circadian patterns over a 6-month follow-up period. To develop and validate a composite Circadian Disruption Risk Score integrating actigraphy data, gene expression profiles, and metabolic biomarkers for predictive risk stratification in night shift workers.Timepoint: From baseline to end of study at year1, year 2, year3 and year 4	—

Measure

Time frame

To assess the association between chronotype at morningness to eveningness preference and the severity of metabolic parameters e.g., insulin resistance, BMI, glycaemic variability in shift workers. Helps stratify participants based on intrinsic biological clock tendencies and tailor interventions more precisely. To evaluate the feasibility, adherence, and participant satisfaction with personalized lifestyle interventions aligned with circadian patterns over a 6-month follow-up period. To develop and validate a composite Circadian Disruption Risk Score integrating actigraphy data, gene expression profiles, and metabolic biomarkers for predictive risk stratification in night shift workers.Timepoint: From baseline to end of study at year1, year 2, year3 and year 4

—

Countries

India

Contacts

Public ContactMukesh Kumar

Government Institute of Medical Sciences (GIMS)

deepak.102sharma@gmail.com8218517253

Outcome results