What can we learn about polytrauma typologies by comparing population-representative to trauma-exposed samples: A...

Area of Science:

• Global Mental Health Research
• Epidemiology of Trauma Exposure
• Psychological Trauma Studies

Background:

• Potentially traumatic events (PTEs) are prevalent and linked to adverse life-course outcomes.
• Existing research often originates from high-income countries and overlooks sample selection biases.
• The implications of using population-representative versus PTE-restricted samples for studying PTEs remain underexplored.

Purpose of the Study:

• To investigate potentially traumatic event (PTE) exposure profiles using latent class analysis (LCA).
• To compare findings from a population-representative sample with a PTE-restricted subsample in Nepal.
• To examine the associations between sociodemographic factors, PTE class membership, and psychiatric outcomes.

Main Methods:

• Latent class analyses (LCA) were conducted on 11 self-reported PTEs from the Nepal Chitwan Valley Family Study (2016-2018).
• Data were analyzed from both a population-representative sample (N=10,714) and a PTE-restricted subsample (N=9,183).
• Multinomial and standard logistic regressions assessed sociodemographic and psychiatric outcome associations with PTE class membership.

Main Results:

• A five-class solution demonstrated optimal fit for both sample types, yet exhibited distinct characteristics.
• Sociodemographic factors showed varied associations with PTE class membership across the two samples.
• PTE class membership demonstrated a stronger differentiation of psychiatric outcomes in the population-representative sample compared to the PTE-restricted subsample.

Conclusions:

• Population-representative samples are valuable for large-scale public health initiatives.
• PTE-restricted subsample analyses offer nuanced insights into trauma profiles and consequences.
• Findings highlight the importance of sample selection in understanding PTEs and tailoring specialized prevention efforts.