Publications by authors named "Sigrid Hegna Ingvaldsen"

Grant peer review processes are pivotal in allocating substantial research funding, yet concerns about their reliability persist, primarily due to low inter-rater agreement. This study aims to examine factors associated with agreement among peer reviewers in grant evaluations, leveraging data from 134,991 reviews across four Norwegian research funders. Using a cross-classified linear regression model, we will explore the relationship between inter-rater agreement and multiple factors, including reviewer similarity, experience, expertise, research area, application characteristics, review depth, and temporal trends.

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There are mixed findings regarding executive functioning in individuals born small for gestational age (SGA) at term and associations between performance-based and self-reported executive functions have yet to be examined in adults. In a prospective cohort study, 56 SGA and 68 non-SGA control participants were assessed at 32 years using the performance-based Trail Making Test (TMT) and the self-report questionnaire Behavior Rating Inventory of Executive Function - Adult Version (BRIEF-A). The SGA group used 1.

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Article Synopsis
  • * The study measured various visual outcomes such as visual acuity, contrast sensitivity, and retina thickness, alongside DTI metrics from specific brain regions involved in vision.
  • * Results showed that the VLBW group had poorer contrast sensitivity, differences in retinal nerve fiber layer thickness, and distinct DTI metrics indicating brain structure abnormalities compared to controls, with better brain connectivity linked to improved visual outcomes in the VLBW group.
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Aim: Adults born preterm have increased risk of mental health problems and other neurodevelopmental conditions. We aimed to investigate associations of mental health with pain and tiredness in adults born very preterm (VP; <32 weeks) or very low birthweight (VLBW; <1500 g) and at term, and whether these associations are influenced by physical activity.

Methods: As part of an EU Horizon 2020 project, individual participant data from six prospective cohort studies were harmonised for 617 VP/VLBW and 1122 term-born participants.

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Background: Children born extremely preterm (gestational age < 28 weeks) show reduced visual function even without any cerebral or ophthalmological neonatal diagnosis. In this study, we aimed to assess the retinal structure with optical coherence tomography (OCT) and visual function with pattern-reversal visual evoked potentials (PR-VEPs) in a geographically defined population-based cohort of school-aged children born extremely preterm. Moreover, we aimed to explore the association between measures of retinal structure and visual pathway function in this cohort.

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Purpose: The purpose of the study was to investigate visual function and vision-related general health in adults that were born preterm with very low birth weight (VLBW: birth weight < 1500 g) in their 30s-40s.

Methods: We recruited 137 adults born preterm with VLBW and 158 term-born controls aged 31-43 years from two birth cohorts: the Helsinki Study of Very Low Birth Weight Adults (Finland) and the NTNU Low Birth Weight in a Lifetime Perspective study (Norway). We used neonatal data and measured refraction, best-corrected visual acuity (BCVA) using the Early Treatment Diabetic Retinopathy Study (ETDRS) chart, contrast sensitivity, visual fields, intraocular pressure (IOP), self-reported vision-targeted health status with the National Eye Institute Visual Function Questionnaire-25.

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Article Synopsis
  • - This study investigates the use of machine learning to predict migraine attacks by analyzing headache diary entries and simple physiological data from patients.
  • - Eighteen migraine patients completed 388 diary entries and used an app to measure heart rate, skin temperature, and muscle tension, with a focus on creating accurate predictive models for headaches the next day.
  • - The best predictive model, utilizing random forest classification, showed moderate success with a score of 0.62 for predicting headaches, suggesting the potential for mobile health apps and wearables to improve migraine forecasting in the future.
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Aim: To investigate visual function and neurodevelopment in a geographically defined population cohort of school-aged children born extremely preterm.

Methods: All children born extremely preterm in Central Norway between 2006 and 2011 (n=65) were identified, and 36 (median age, min/max: 13, 10/16) were included. Best-corrected visual acuity (BCVA), contrast sensitivity (four spatial frequencies), parent-reported challenges and neuropsychological testing in learning, executive functions, motor skills, perception, reaction time, working and visual memory, processing speed, and pattern separation were measured.

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Background: Biofeedback is effective in treating migraines. It is believed to have a beneficial effect on autonomous nervous system activity and render individuals resilient to stressors that may trigger a migraine. However, widespread use of biofeedback is hampered by the need for a trained therapist and specialized equipment.

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Research on retinopathy of prematurity (ROP) focuses mainly on the abnormal vascularization patterns that are directly visible for ophthalmologists. However, recent findings indicate that children born prematurely also exhibit changes in the retinal cellular architecture and along the dorsal visual stream, such as structural changes between and within cortical areas. Moreover, perinatal sustained systemic inflammation (SSI) is associated with an increased risk for ROP and the visual deficits that follow.

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