81 research outputs found

    Alcohol involvement in aggression between intimate partners in New Zealand: a national cross-sectional study

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    Objectives: To examine the role of alcohol at the time of aggressive incidents between intimate partners in the general population by gender, by estimating (1) prevalence and severity of aggression, and drinking at the time, (2) associations of drinking at the time of the aggression with reported severity, anger and fear, and (3) association of usual drinking patterns with partner aggression. Design: A national survey of 18-70-year-olds using an electoral roll sample obtained self-reported alcohol consumption, partner’s alcohol consumption and details of the most severe partner aggression by the respondent and towards the respondent in the past 2 years. The mean scores for associated severity, anger and fear were analysed by gender and alcohol involvement. Multinomial models estimated associations of drinking patterns with aggression to and from the respondent. Results: The response rate was 49% (n=1925). Men and women reported similar prevalence of victimisation and perpetration of aggression (11-15%). Alcohol was involved in more than 25% of incidents, and reported more by women than by men, particularly male-only drinking when the respondent was the victim. Women reported greater severity, anger and fear with victimisation than men, and drinking was associated with greater reported severity. Heavy episodic drinking by respondents was associated with a threefold increase in victimisation and doubling of perpetration of aggression involving alcohol. Heavy episodic drinking by either partner was also associated with drinking being involved in reported aggression. Conclusions: The experience of intimate-partner aggression in a cross-section of households differs by gender and the involvement of alcohol, and ‘counts’ of aggressive acts in a population-based survey do not reflect the reality of gender differences. Heavy episodic drinking patterns are associated with more aggression involving alcohol within relationships, and alcohol involvement is associated with increased severity

    Law, Liquor, and Love

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    This article discusses attempts at alcohol law reform in New Zealand between 2008 and 2017. First, it describes a major review of alcohol by the New Zealand Law Commission, headed by Sir Geoffrey Palmer, who had overseen liberalisation of alcohol regulation 25 years earlier. The main recommendations of the commission’s final report featured progressive reform of the alcohol laws regulating marketing, price, accessibility and age of purchase. Second, it outlines the response to the commission’s report by the Nationalled government, including an Alcohol Reform Bill that ignored the key recommendations of the commission. This ‘non-reform’ bill was the outcome of a political process of obfuscation, delay and inaction led by then prime minister, John Key. Third, the article describes the factors that have contributed to the lack of effective alcohol law reform, despite the review and high public support for change over the past decade. We conclude that ‘the love of money’ is at the heart of the barriers to change. Finally, we propose three main policies that would make a significant difference to reducing alcohol-related harm in New Zealand and suggest how these could be advanced

    Sharing of either phenotypes or genetic variants can increase the accuracy of genomic prediction of feed efficiency.

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    BACKGROUND Sharing individual phenotype and genotype data between countries is complex and fraught with potential errors, while sharing summary statistics of genome-wide association studies (GWAS) is relatively straightforward, and thus would be especially useful for traits that are expensive or difficult-to-measure, such as feed efficiency. Here we examined: (1) the sharing of individual cow data from international partners; and (2) the use of sequence variants selected from GWAS of international cow data to evaluate the accuracy of genomic estimated breeding values (GEBV) for residual feed intake (RFI) in Australian cows. RESULTS GEBV for RFI were estimated using genomic best linear unbiased prediction (GBLUP) with 50k or high-density single nucleotide polymorphisms (SNPs), from a training population of 3797 individuals in univariate to trivariate analyses where the three traits were RFI phenotypes calculated using 584 Australian lactating cows (AUSc), 824 growing heifers (AUSh), and 2526 international lactating cows (OVE). Accuracies of GEBV in AUSc were evaluated by either cohort-by-birth-year or fourfold random cross-validations. GEBV of AUSc were also predicted using only the AUS training population with a weighted genomic relationship matrix constructed with SNPs from the 50k array and sequence variants selected from a meta-GWAS that included only international datasets. The genomic heritabilities estimated using the AUSc, OVE and AUSh datasets were moderate, ranging from 0.20 to 0.36. The genetic correlations (rg) of traits between heifers and cows ranged from 0.30 to 0.95 but were associated with large standard errors. The mean accuracies of GEBV in Australian cows were up to 0.32 and almost doubled when either overseas cows, or both overseas cows and AUS heifers were included in the training population. They also increased when selected sequence variants were combined with 50k SNPs, but with a smaller relative increase. CONCLUSIONS The accuracy of RFI GEBV increased when international data were used or when selected sequence variants were combined with 50k SNP array data. This suggests that if direct sharing of data is not feasible, a meta-analysis of summary GWAS statistics could provide selected SNPs for custom panels to use in genomic selection programs. However, since this finding is based on a small cross-validation study, confirmation through a larger study is recommended

    The American Congress of Rehabilitation Medicine Diagnostic Criteria for Mild Traumatic Brain Injury

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    Objective: To develop new diagnostic criteria for mild traumatic brain injury (TBI) that are appropriate for use across the lifespan and in sports, civilian trauma, and military settings. Design: Rapid evidence reviews on 12 clinical questions and Delphi method for expert consensus. Participants: The Mild Traumatic Brain Injury Task Force of the American Congress of Rehabilitation Medicine Brain Injury Special Interest Group convened a Working Group of 17 members and an external interdisciplinary expert panel of 32 clinician-scientists. Public stakeholder feedback was analyzed from 68 individuals and 23 organizations. Results: The first 2 Delphi votes asked the expert panel to rate their agreement with both the diagnostic criteria for mild TBI and the supporting evidence statements. In the first round, 10 of 12 evidence statements reached consensus agreement. Revised evidence statements underwent a second round of expert panel voting, where consensus was achieved for all. For the diagnostic criteria, the final agreement rate, after the third vote, was 90.7%. Public stakeholder feedback was incorporated into the diagnostic criteria revision prior to the third expert panel vote. A terminology question was added to the third round of Delphi voting, where 30 of 32 (93.8%) expert panel members agreed that ‘the diagnostic label ‘concussion’ may be used interchangeably with ‘mild TBI’ when neuroimaging is normal or not clinically indicated.’ Conclusions: New diagnostic criteria for mild TBI were developed through an evidence review and expert consensus process. Having unified diagnostic criteria for mild TBI can improve the quality and consistency of mild TBI research and clinical care.</p

    The American Congress of Rehabilitation Medicine Diagnostic Criteria for Mild Traumatic Brain Injury

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    Objective: To develop new diagnostic criteria for mild traumatic brain injury (TBI) that are appropriate for use across the lifespan and in sports, civilian trauma, and military settings. Design: Rapid evidence reviews on 12 clinical questions and Delphi method for expert consensus. Participants: The Mild Traumatic Brain Injury Task Force of the American Congress of Rehabilitation Medicine Brain Injury Special Interest Group convened a Working Group of 17 members and an external interdisciplinary expert panel of 32 clinician-scientists. Public stakeholder feedback was analyzed from 68 individuals and 23 organizations. Results: The first 2 Delphi votes asked the expert panel to rate their agreement with both the diagnostic criteria for mild TBI and the supporting evidence statements. In the first round, 10 of 12 evidence statements reached consensus agreement. Revised evidence statements underwent a second round of expert panel voting, where consensus was achieved for all. For the diagnostic criteria, the final agreement rate, after the third vote, was 90.7%. Public stakeholder feedback was incorporated into the diagnostic criteria revision prior to the third expert panel vote. A terminology question was added to the third round of Delphi voting, where 30 of 32 (93.8%) expert panel members agreed that ‘the diagnostic label ‘concussion’ may be used interchangeably with ‘mild TBI’ when neuroimaging is normal or not clinically indicated.’ Conclusions: New diagnostic criteria for mild TBI were developed through an evidence review and expert consensus process. Having unified diagnostic criteria for mild TBI can improve the quality and consistency of mild TBI research and clinical care.</p

    Measuring the predictability of life outcomes with a scientific mass collaboration.

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    How predictable are life trajectories? We investigated this question with a scientific mass collaboration using the common task method; 160 teams built predictive models for six life outcomes using data from the Fragile Families and Child Wellbeing Study, a high-quality birth cohort study. Despite using a rich dataset and applying machine-learning methods optimized for prediction, the best predictions were not very accurate and were only slightly better than those from a simple benchmark model. Within each outcome, prediction error was strongly associated with the family being predicted and weakly associated with the technique used to generate the prediction. Overall, these results suggest practical limits to the predictability of life outcomes in some settings and illustrate the value of mass collaborations in the social sciences
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