Effort-Reward Imbalance Is Associated With Alcohol-Related Problems. WIRUS-Screening Study

There is ample evidence of associations between a perceived stressful working environment and several health-related outcomes. To better understand potential mechanisms behind these observations some studies have focused on the relationship between effort-reward imbalance at work and alcohol consumption. So far, the findings have been inconsistent. One reason for this inconsistency might come from the focus on alcohol consumption per se, while disregarding other aspects such as adverse consequences related to the consumption of alcohol. The aim of the present study was to explore associations between perceived effort and reward, effort-reward imbalance and overcommitment, and alcohol-related problems. Using data from the alcohol screening component in the Norwegian WIRUS-project (N = 5,080), we ascertained the perceived effort, reward, effort-reward imbalance (ERI) and overcommitment using the effort-reward imbalance questionnaire. Alcohol-related problems was determined using a cut-off≥8 on the Alcohol Use Disorder Identification Test (AUDIT). Associations were estimated using crude and adjusted logistic regression models. Covariates were age, gender and education. We found associations between different aspects of ERI and overcommitment, and alcohol-related problems. Specifically, the main analysis indicated that there was an increased odds for alcohol-related problems among those who reported high levels of ERI in conjunction with high overcommitment [adjusted OR: 1.40 (CI 95% 1.10–1.78)] compared to those with low levels of ERI and low overcommitment.Our findingssuggestthatERI andovercommitmentisassociatedwith increased likelihood of alcohol-related problems. These findings indicate that individual and work-related factors should be taken into account collectively when aiming to determine the impact of psychosocial work environment on alcohol-related problems. Due to the cross-sectional nature of the present study, we are not able to determine the direction of the associations, and future studies should aim to investigate this.publishedVersio

Evaluating the stormwater management model for hydrological simulation of infiltration swales in cold climates

The Stormwater Management Model (SWMM) is a widely used tool for assessing the hydrological performance of infiltration swales. However, validating the accuracy of SWMM simulation against observed data has been challenging, primarily because well-functioning infiltration swales rarely produce surface runoff, especially over short monitoring periods. This study addresses this challenge by using measured subsurface water storage levels for calibration and validation. The study evaluated three SWMM modules, namely, the snowpack, aquifer, and low-impact development (LID) modules, to simulate subsurface water storage levels of an infiltration swale located in a cold climate region during snow and snow-free periods. Global sensitivity analysis was used to identify influential parameters within these modules. The findings revealed that only a few parameters significantly influenced model outputs. Moreover, the aquifer module outperformed the LID module in simulating subsurface water storage due to limitations in setting the initial saturation of the LID module. Furthermore, simulation accuracy was better during snow-free periods due to challenges in simulating snow dynamics during snow periods with the snowpack module. The calibrated models offer valuable insights into the long-term hydrological performance of infiltration swales, enabling practitioners to identify events that trigger flooding in these systems.publishedVersio

Rammeverk for klimatilpassing av bygningar

Forord. Denne rapporten presenterer eit rammeverk for klimatilpassing av bygningar. Rammeverket er meint å framheve myndigheitskrava til klimatilpassing, å vise til verktøy som kan vere til nytte for å verifisere at valte løysningar held, samt å presentere ei systematisk tenking for handtering av klimatilpassing. Rammeverket er fysisk vinkla og seier ikkje noko om prosess, organisering og samhandling. Rammeverket er eit resultat av ein kontinuerleg aktivitet gjennom heile den åtte år lange prosjektperioden til Klima 2050. Temasamlingane oppsummerte i Klima 2050 Note 5, 22, 62, 76 og 127 har alle vore sentrale i utviklinga av rammeverket. Utviklinga har også nytt godt av Norgeshus sitt IPN-prosjekt Verktøykasse for klimatilpasning av boliger og masteroppgåvene til Torun Krangsås Vikan (Vikan 2016) og Julie Sandli Danbolt (Danbolt, 2018). Den grunnleggande rammeverksidéen vart presentert og diskutert i ein internasjonal vitskapeleg konferanse av Lisø et al. (2017). Alle tilbakemeldingar i prosessen har vore svært nyttige i utviklinga av rammeverket. Klima 2050 – Reduksjon av samfunnsrisiko forbundet med klimaendringar på det bygde miljø er eit senter for forskingsbasert innovasjon (SFI) finansiert av Norges forskningsråd og partnerane i konsortiet. SFI-statusen gjer langsiktig forsking i nært samarbeid med privat og offentleg sektor mogleg, samt med andre forskingspartnarar som har som mål å styrke Norges innovasjons- og konkurranseevne innan klimatilpassing. Samansettinga av konsortiet er viktig for å kunne redusere samfunnsrisikoen forbundet med klimaendringar. Senteret vil styrke bedriftene sin innovasjonskapasitet gjennom fokus på langsiktig forsking. Det er også eit klart mål å legge til rette for tett samarbeid mellom FoU-aktive bedrifter og framifrå forskingsgrupper. Det blir lagt vekt på utvikling av fuktbestandige bygningar, overvannshandtering, blågrøne løysingar, tiltak for førebygging av vannutløyste skred, sosioøkonomiske insentiv og beslutningsprosessar. Både ekstremvêr og gradvise endringar i klimaet blir sett på. Vertsinstitusjonen for SFI Klima 2050 er SINTEF Community, og senteret blir leia i samarbeid med NTNU. Dei andre forskingspartnerane er Handelshøyskolen BI, Norges Geotekniske Institutt (NGI) og Meteorologisk institutt (MET Norge). Industripartnerane representerer viktige delar av norsk byggenæring; rådgivarar, entreprenørar og produsentar av byggevarer og teknologi: Skanska Norge, Multiconsult ASA, Mesterhus, Norgeshus AS, Leca Norge AS, Isola AS og Skjæveland Gruppen AS. Senteret inkluderer også viktige offentlege byggherrar og eigedomsutviklarar: Statsbygg, Statens vegvesen, Jernbanedirektoratet og Avinor AS. Sentrale aktørar er også Trondheim kommune, Norges vassdrags- og energidirektorat (NVE) og Finans Norge. Ein spesiell takk til Norgeshus i utviklinga av risikovurderingsoversikta presentert i rapporten og til Julie Sandli Danbolt som i si masteroppgåve (Danbolt, 2018) kartla relevante og nyttige hjelpemiddel ved prosjektering av klimatilpassa bygningar.publishedVersio

Practice makes the model: a critical review of stormwater green infrastructure modelling practice

Green infrastructures (GIs) have in recent decades emerged as sustainable technologies for urban stormwater management, and numerous studies have been conducted to develop and improve hydrological models for GIs. This review aims to assess current practice in GI hydrological modelling, encompassing the selection of model structure, equations, model parametrization and testing, uncertainty analysis, sensitivity analysis, the selection of objective functions for model calibration, and the interpretation of modelling results. During a quantitative and qualitative analysis, based on a paper analysis methodology applied across a sample of 270 published studies, we found that the authors of GI modelling studies generally fail to justify their modelling choices and their alignments between modelling objectives and methods. Some practices, such as uncertainty analysis, were also found to be limited, despite their necessity being widely acknowledged by the scientific community and their application in other fields. In order to improve current GI modelling practice, the authors suggest the following: i) a framework, called STAMP, designed to promote the standardisation of the documentation of GI modelling studies, and ii) improvements in modelling tools for facilitating good practices, iii) the sharing of data for better model testing, iv) the evaluation of the suitability of hydrological equations for GI application, v) the publication of clear statements regarding model limitations and negative results.publishedVersio

Dysfunctional beliefs and attitudes about sleep (DBAS) mediate outcomes in dCBT-I on psychological distress, fatigue, and insomnia severity

Objective/background Digital cognitive behavioral therapy for insomnia (dCBT-I) improves several sleep and health outcomes in individuals with insomnia. This study investigates whether changes in Dysfunctional Beliefs and Attitudes about Sleep (DBAS) during dCBT-I mediate changes in psychological distress, fatigue, and insomnia severity. Patients/methods The study presents a secondary planned analysis of data from 1073 participants in a randomized control trial (Total sample = 1721) of dCBT-I compared with patient education (PE). Self-ratings with the Dysfunctional Beliefs and Attitudes about Sleep (DBAS), the Hospital Anxiety Depression Scale (HADS), the Chalder Fatigue Scale (CFQ), and the Insomnia Severity Index (ISI) were obtained at baseline and 9-week follow-up. Hayes PROCESS mediation analyses were conducted to test for mediation. Results and conclusion sDBAS scores were significantly reduced at 9-week follow-up for those randomized to dCBT-I (n = 566) compared with PE (n = 507). The estimated mean difference was −1.49 (95% CI -1.66 to −1.31, p < .001, Cohen's d. = 0.93). DBAS mediated all the effect of dCBT-I on the HADS and the CFQ, and 64% of the change on the ISI (Estimated indirect effect −3.14, 95% CI -3.60 to −2.68) at 9-week follow-up compared with PE. Changes in the DBAS fully mediated the effects of dCBT-I on psychological distress and fatigue, and the DBAS partially mediated the effects on insomnia severity. These findings may have implications for understanding how dCBT-I works and highlights the role of changing cognitions in dCBT-I.publishedVersio

Digital cognitive behaviour therapy for insomnia in individuals with self-reported insomnia and chronic fatigue: A secondary analysis of a large scale randomized controlled trial

Insomnia is associated with fatigue, but it is unclear whether response to cognitive behaviour therapy for insomnia is altered in individuals with co-occurring symptoms of insomnia and chronic fatigue. This is a secondary analysis using data from 1717 participants with self-reported insomnia in a community-based randomized controlled trial of digital cognitive behaviour therapy for insomnia compared with patient education. We employed baseline ratings of the Chalder Fatigue Questionnaire to identify participants with more or fewer symptoms of self-reported chronic fatigue (chronic fatigue, n = 592; no chronic fatigue, n = 1125). We used linear mixed models with Insomnia Severity Index, Short Form-12 mental health, Short Form-12 physical health, and the Hospital Anxiety and Depression Scale separately as outcome variables. The main covariates were main effects and interactions for time (baseline versus 9-week follow-up), intervention, and chronic fatigue. Participants with chronic fatigue reported significantly greater improvements following digital cognitive behaviour therapy for insomnia compared with patient education on the Insomnia Severity Index (Cohen's d = 1.36, p < 0.001), Short Form-12 mental health (Cohen's d = 0.19, p = 0.029), and Hospital Anxiety and Depression Scale (Cohen's d = 0.18, p = 0.010). There were no significant differences in the effectiveness of digital cognitive behaviour therapy for insomnia between chronic fatigue and no chronic fatigue participants on any outcome. We conclude that in a large community-based sample of adults with insomnia, co-occurring chronic fatigue did not moderate the effectiveness of digital cognitive behaviour therapy for insomnia on any of the tested outcomes. This may further establish digital cognitive behaviour therapy for insomnia as an adjunctive intervention in individuals with physical and mental disorders.publishedVersio

Vitamin E and selenium plasma concentrations in weanling pigs under field conditions in Norwegian pig herds

BACKGROUND: The status of α-tocopherol (vit E) and selenium (Se) has been shown to influence disease resistance in pigs, and may be important for the health of weanling pigs. METHODS: Plasma levels of both vit E and Se were followed in weanling pigs under field conditions in six Norwegian pig herds. Plasma vit E and Se were measured in 3 sows from each herd and 4 piglets in the litter of each sow at the day before weaning (day -1); and in the same piglets at days 4, 8 and 18 after weaning. RESULTS: Mean plasma vit E was 4.0 μg/ml in the sows and 2.6 μg/ml in the piglets at day -1, fell to 1.6 μg/ml in the weanling pigs at day 4, and remained low. Mean plasma Se was 0.22 μg/g in the sows and 0.08 μg/g in the piglets at day -1, rose to 0.10 μg/g in the weanlings at day 4, and continued rising. CONCLUSION: The results suggest that vit E and Se supplementation to piglets and weanling pigs in Norway may still be suboptimal, but that levels of the two nutrients partially compensate for each other in the weaning period

Differences between patients' and clinicians' report of sleep disturbance: a field study in mental health care in Norway

<p>Abstract</p> <p>Background</p> <p>The aims of the study was to assess the prevalence of diagnosed insomnia and the agreement between patient- and clinician-reported sleep disturbance and use of prescribed hypnotic medication in patients in treatment for mental disorders.</p> <p>Methods</p> <p>We used three cross-sectional, multicenter data-sets from 2002, 2005, and 2008. Data-set 1 included diagnostic codes from 93% of all patients receiving treatment in mental health care in Norway (<it>N </it>= 40261). Data-sets 2 (<it>N </it>= 1065) and 3 (<it>N </it>= 1181) included diagnostic codes, patient- and clinician-reported sleep disturbance, and use of prescribed hypnotic medication from patients in 8 mental health care centers covering 10% of the Norwegian population.</p> <p>Results</p> <p>34 patients in data-set 1 and none in data-sets 2 and 3 had a diagnosis of insomnia as a primary or comorbid diagnosis. In data-sets 2 and 3, 42% and 40% of the patients reported sleep disturbance, whereas 24% and 13% had clinician-reported sleep disturbance, and 7% and 9% used hypnotics. Patients and clinicians agreed in 29% and 15% of the cases where the patient or the clinician or both had reported sleep disturbance. Positive predictive value (PPV) of clinicians' evaluations of patient sleep disturbance was 62% and 53%. When the patient reported sleep disturbance as one of their most prominent problems PPV was 36% and 37%. Of the patients who received hypnotic medication, 23% and 29% had neither patient nor clinician-rated sleep disturbance.</p> <p>Conclusion</p> <p>When patients meet the criteria for a mental disorder, insomnia is almost never diagnosed, and sleep disturbance is imprecisely recognized relative to the patients' experience of sleep disturbance.</p

Implementing a Full-Band Monte Carlo Model for Zincblende Structure Semiconductors

During the work with this master's thesis a number of improvements have been made to the Monte Carlo program being developed at FFI. Algorithms for handling numerical band and scattering rate data have been constructed and integrated with the program. Of all the changes made in this work, most important is the fact that the program has been made capable of running with band structures and scattering rates calculated by the k*p-method, leaving the less accurate analytical approximations behind. The program is now capable of running bulk Monte Carlo simulations using a full-band model for the valence bands. All important infrastructure is also set up for adding full-band versions of other bands

Effects and biotransformation of the mycotoxin deoxynivalenol in growing pigs fed naturally contaminated grain pelleted with and without the addition of Coriobacteriaceum DSM 11798

Deoxynivalenol (DON) is one of the most prevalent Fusarium mycotoxins in grain and can cause economic losses in pig farming due to reduced feed consumption and lower weight gains. Biodetoxification of mycotoxins using bacterial strains has been a focus of research for many years. However, only a few in vivo studies have been conducted on the effectiveness of microbial detoxification of fusariotoxins. This study was therefore aimed at investigating the effect of a feed additive containing the bacterial strain Coriobacteriaceum DSM 11798 (the active ingredient in Biomin® BBSH 797) on growth performance and blood parameters, as well as uptake and metabolism of DON, in growing pigs. Forty-eight crossbred (Landrace-Yorkshire/Duroc-Duroc) weaning pigs were fed with pelleted feed made from naturally contaminated oats, with DON at four concentration levels: (1) control diet (DON < 0.2 mg kg−1), (2) low-contaminated diet (DON = 0.92 mg kg−1), (3) medium-contaminated diet (DON = 2.2 mg kg−1) and (4) high-contaminated diet (DON = 5.0 mg kg−1) and equivalent diets containing DSM 11798 as feed additive. During the first 7 days of exposure, pigs in the highest-dose group showed a 20–28% reduction in feed intake and a 24–34% reduction in weight gain compared with pigs in the control and low-dose groups. These differences were levelled out by study completion. Towards the end of the experiment, dose-dependent reductions in serum albumin, globulin and total serum protein were noted in the groups fed with DON-contaminated feed compared with the controls. The addition of DSM 11798 had no effect on the DON-related clinical effects or on the plasma concentrations of DON. The ineffectiveness of the feed additive in the present study could be a consequence of its use in pelleted feed, which might have hindered its rapid release, accessibility or detoxification efficiency in the pig’s gastrointestinal tract.acceptedVersio