Publications by authors named "L V Romaniuk"

Sleep is crucial for the healthy development of adolescents, yet many suffer from chronic sleep deprivation. Over the transition to and course of adolescence there are known changes to sleep patterns e.g.

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Background: The value of patient and public involvement (PPI) during the earliest stages of clinical trial development, and prior to the award of substantive funding, is widely recognised. However, it is often under-resourced and PPI processes during this phase are rarely reported in detail. Having benefitted from seed funding to develop an international clinical trial proposal, we sought to describe and appraise PPI activities and processes that support pre-award co-development.

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Article Synopsis
  • Chronic pelvic pain (CPP) in women without clear pelvic issues lacks effective treatment options, as shown by a recent trial indicating gabapentin was ineffective and had more side effects compared to a placebo.
  • An exploratory study identified a significant genetic variant (rs4442490) linked to the response to gabapentin, suggesting this variant may influence how patients experience pain relief from the medication.
  • The genetic variant rs4442490 affects the expression of Neuregulin 3, which is important for brain function, particularly the orbitofrontal cortex, highlighting the potential for personalized treatment based on genetic factors.
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Introduction: Loneliness has been identified as an important public health issue, peaking during adolescence. Previous research has suggested that social interaction is a key factor in loneliness, and positive social interaction can act as a protective factor against loneliness. However, it is unclear whether there are differing impacts of in-person and online social interaction on adolescents' loneliness and mental health.

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Background: The brain can be represented as a network, with nodes as brain regions and edges as region-to-region connections. Nodes with the most connections (hubs) are central to efficient brain function. Current findings on structural differences in Major Depressive Disorder (MDD) identified using network approaches remain inconsistent, potentially due to small sample sizes.

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