Review: The impact of climate change awareness on children\u27s mental well-being and negative emotions – a scoping review

Background: Climate change is a threat to children’s physical health, but there are also implications for mental well-being. Additionally, children may experience negative emotional responses stemming from an overarching awareness of the imminent threats to the planet due to climate change. Method: Using a scoping review, we examined the impact of climate change awareness on children’s mental well-being and negative emotions. Our aim was to identify and describe the existing literature and highlight priorities for future research. Three specific objectives guided the review: (1) to identify and provide an overview of research regarding the impact of climate change awareness on children’s mental well-being and negative emotions; (2) to summarize and clarify the terminology related to climate change awareness and children’s mental well-being and negative emotions; and (3) to make recommendations for areas of future research. Results: Thirty-three articles were included in a narrative synthesis. Many articles were reviews or editorials/commentaries. Of the empirical research, most were from Europe, North America, and Australia. The articles emphasized a large range of negative emotions that children felt about climate change, with anxiety and worry being the most researched and discussed. Conclusions: The research on the impact of awareness of climate change on children’s mental well-being and negative emotions is in its early phases. Efforts are needed to advance conceptual clarity and operationalize concepts. Additionally, there is a need for research into the impact of climate change awareness on children’s mental well-being and negative emotions among a greater diversity of people and places. Existing studies provide an encouraging basis from which to develop future research

The quantity and composition of household food waste during the COVID-19 pandemic: A direct measurement study in Canada

The COVID-19 pandemic may have amplified the environmental, social, and economic implications of household food waste. A better understanding of household food wasting during the pandemic is needed to improve the management of waste and develop best practices for municipal waste management programs under crisis circumstances. A waste composition study was undertaken with 100 single-family households across the city of London, Ontario, Canada to determine the quantity and composition of household food waste disposed in June 2020, during the first wave of the COVID-19 pandemic. This study examines how household demographic, socioeconomic, and neighbourhood food environment characteristics influence household food wasting. On average, each household sent 2.81 kg of food waste to landfill per week, of which 52% was classified as avoidable food waste and 48% as unavoidable food waste. The quantity and composition of household food waste was found to be strongly influenced by the number of people and children in a household, and somewhat influenced by socioeconomic factors and neighbourhood food environment characteristics, including the availability, density, and proximity of retail food outlets

Association analyses of the MAS-QTL data set using grammar, principal components and Bayesian network methodologies

<p>Abstract</p> <p>Background</p> <p>It has been shown that if genetic relationships among individuals are not taken into account for genome wide association studies, this may lead to false positives. To address this problem, we used Genome-wide Rapid Association using Mixed Model and Regression and principal component stratification analyses. To account for linkage disequilibrium among the significant markers, principal components loadings obtained from top markers can be included as covariates. Estimation of Bayesian networks may also be useful to investigate linkage disequilibrium among SNPs and their relation with environmental variables.</p> <p>For the quantitative trait we first estimated residuals while taking polygenic effects into account. We then used a single SNP approach to detect the most significant SNPs based on the residuals and applied principal component regression to take linkage disequilibrium among these SNPs into account. For the categorical trait we used principal component stratification methodology to account for background effects. For correction of linkage disequilibrium we used principal component logit regression. Bayesian networks were estimated to investigate relationship among SNPs.</p> <p>Results</p> <p>Using the Genome-wide Rapid Association using Mixed Model and Regression and principal component stratification approach we detected around 100 significant SNPs for the quantitative trait (p<0.05 with 1000 permutations) and 109 significant (p<0.0006 with local FDR correction) SNPs for the categorical trait. With additional principal component regression we reduced the list to 16 and 50 SNPs for the quantitative and categorical trait, respectively.</p> <p>Conclusions</p> <p>GRAMMAR could efficiently incorporate the information regarding random genetic effects. Principal component stratification should be cautiously used with stringent multiple hypothesis testing correction to correct for ancestral stratification and association analyses for binary traits when there are systematic genetic effects such as half sib family structures. Bayesian networks are useful to investigate relationships among SNPs and environmental variables.</p

Dichotomous factor analysis of symptoms reported by UK and US veterans of the 1991 Gulf War

BACKGROUND: Factor analysis is one of the most used statistical techniques to analyze the inter-relationships among symptoms reported by Gulf War veterans. The objective of this study was to apply factor analyses to binary symptom data from the UK study of Gulf War illness and the US Air Force study of Gulf War veterans, and to compare the symptom domains derived from the distinct samples. METHODS: UK veterans of the 1991 Gulf War (n = 3,454), individuals deployed to Bosnia on U.N. peacekeeping operations (n = 1,979) and Gulf War-era servicemen (n = 2,577) who were not deployed to the Gulf were surveyed in 1997–1998, and US 1991 Gulf War veterans from four Air Force units (n = 1,163) were surveyed in 1995 to collect health characteristics including symptoms. Each sample was randomly split in half for exploratory and confirmatory dichotomous factor analyses with promax oblique rotation. RESULTS: Four correlated factors were identified in each of the samples. Three factors (Respiratory, Mood-Cognition, Peripheral Nervous) overlapped considerably across the UK cohorts. The Gastrointestinal/Urogenital factor in the UK Gulf cohort was noticeably different from the Gastrointestinal factor identified from the Bosnia and Era cohorts. Symptoms from Gulf War UK and U.S cohorts yielded similar Gastrointestinal, Respiratory and Mood-Cognition factors, despite differences in symptom inventories between the two surveys. A Musculoskeletal factor was only elicited from the US Gulf sample. CONCLUSION: Findings of this report are consistent with those from other factor analysis studies that identified similar symptom dimensions between Gulf and non-Gulf War veterans, except that the Gastrointestinal factor in Gulf veterans included other symptom types. Correlations among factors raise the question as to whether there is a general illness, even if not unique to Gulf veterans, representing the common pathway underlying the identified factors. Hierarchical factor analysis models may be useful to address this issue

A systematic review of the effects of prolonged cow-calf contact on behavior, welfare, and productivity

Separation of calves from cows within hours or days of birth is common on dairy farms. Stakeholders have conflicting perspectives on whether this is harmful or beneficial for the animals’ welfare and production. Our objective was to critically evaluate the scientific evidence for both acute and long-term effects of early separation versus an extended period of cow-calf contact. The outcomes investigated were the behavior, welfare (excluding physical health) and performance (milk yield and growth, respectively) of dairy cows and calves. Primary research papers were found through targeted Web of Science searches, the reference lists of recent reviews for each topic, and the reference lists of papers identified from these sources. Studies were included if they were published in English, the full text was accessible, and they compared treatments with and without contact between dairy cows and calves for a specified period. Early separation (within 24 h post-partum) was found to reduce acute distress responses of cows and calves. However, longer cow-calf contact typically had positive longer-term effects on calves, promoting more normal social behavior, reducing abnormal behavior and sometimes reducing responses to stressors. In terms of productivity, allowing cows to nurse calves generally decreased the volume of milk available for sale during the nursing period, but there was no consistent evidence of reduced milk production over a longer period. Allowing a prolonged period of nursing increased calf weight gains during the milk-feeding period. In summary, extended cow-calf contact aggravates the acute distress responses and reduces the amount of saleable milk while the calves are suckling, but can have positive effects on behaviors relevant to welfare in the longer term and benefit calf growth. The strength of these conclusions is limited, however, given that relatively few studies address most of these effects and that experimental design including timing of contact and observations are often inconsistent across studies. Few studies presented indicators of long-term welfare effects other than abnormal and social behavior of the calves

IFITM3 restricts the morbidity and mortality associated with influenza

The 2009 H1N1 influenza pandemic showed the speed with which a novel respiratory virus can spread and the ability of a generally mild infection to induce severe morbidity and mortality in a subset of the population. Recent in vitro studies show that the interferon-inducible transmembrane (IFITM) protein family members potently restrict the replication of multiple pathogenic viruses1, 2, 3, 4, 5, 6, 7. Both the magnitude and breadth of the IFITM proteins’ in vitro effects suggest that they are critical for intrinsic resistance to such viruses, including influenza viruses. Using a knockout mouse model8, we now test this hypothesis directly and find that IFITM3 is essential for defending the host against influenza A virus in vivo. Mice lacking Ifitm3 display fulminant viral pneumonia when challenged with a normally low-pathogenicity influenza virus, mirroring the destruction inflicted by the highly pathogenic 1918 ‘Spanish’ influenza9, 10. Similar increased viral replication is seen in vitro, with protection rescued by the re-introduction of Ifitm3. To test the role of IFITM3 in human influenza virus infection, we assessed the IFITM3 alleles of individuals hospitalized with seasonal or pandemic influenza H1N1/09 viruses. We find that a statistically significant number of hospitalized subjects show enrichment for a minor IFITM3 allele (SNP rs12252-C) that alters a splice acceptor site, and functional assays show the minor CC genotype IFITM3 has reduced influenza virus restriction in vitro. Together these data reveal that the action of a single intrinsic immune effector, IFITM3, profoundly alters the course of influenza virus infection in mouse and human

A Direct Measurement Approach to Understanding Influences to Household Food Wasting

In response to the environmental, economic, and social impacts of wasting food, the United Nations’ Sustainable Development Goal 12.3 aims to halve per capita global food waste by 2030. Aligned with this goal, the overarching research question of this dissertation is: how do pandemic circumstances; a knowledge-based, food waste reduction intervention; and pro-environmental knowledge, attitudes, and behaviours influence the quantity and composition of household food waste generation? A key component of this research was to follow a direct food waste measurement methodology, where curbside waste samples from households in London, Ontario, Canada were collected, weighed, and sorted to determine the quantity and composition of wasted food. Additionally, this research used a survey to measure knowledge, attitudes, and behaviours related to household food wasting. During COVID-19, households sent 2.81 kg of food waste to landfill per week, of which 52% was classified as avoidable food waste and 48% as unavoidable food waste. The generation of unavoidable food waste increased by 65% during the pandemic. These findings can be leveraged to influence policy aimed at developing sustainable solutions for waste management. To address the need for policies and programs that reduce household food waste, the long-term effectiveness of a household food waste reduction intervention was evaluated. Results indicate that the intervention has led to a long-term, sustained 30% reduction in avoidable food waste sent to landfill, demonstrating the potential for the intervention to continue to have a meaningful impact. As one of the only studies to measure the long-term effectiveness of a household food waste reduction intervention, this research fills a gap in our current understanding of intervention efficacy. Knowledge of how pro-environmentalism influences household food wasting contributes to strengthening our understanding of the complex, intersecting factors that result in wasted food. Households in a net-zero energy neighbourhood sent less total and unavoidable food waste to landfill than households in ‘regular’ neighbourhoods. While net-zero energy neighbourhood participants had strong, self-reported pro-environmental worldviews, pro-environmentalism was not found to be stronger in this neighbourhood than others in the city. Overall, this research contributes to our understanding of household food waste generation and the development of household food waste reduction strategies

A Review of Household Food Waste Generation during the COVID-19 Pandemic

The COVID-19 pandemic may have impacted the quantity and composition of household food waste generation in parallel with recent changes to food behaviors. A literature review was undertaken to determine the state of household food wasting during pandemic circumstances. Forty-one articles that reported on household food waste generation during COVID-19 were identified. Most of these studies relied on self-reported recall of food wasting behavior (n = 35), primarily collected through surveys. The average total amount of household food waste generated during COVID-19 was 0.91 kg per capita per week. Average avoidable food waste generation was 0.40 kg per capita per week and average unavoidable food waste generation was 0.51 kg per capita per week. Fruit and vegetables were the most wasted types of food. Only five studies reported statistically significant changes (actual or perceived) to household food waste generation during COVID-19. These results indicate a possible decrease in total, perceived food waste generation during pandemic circumstances, with a possible increase in the actual generation of unavoidable food waste. Further research is needed to adequately determine the impact of the pandemic on household food waste generation, as the findings summarized in this review vary substantially and statistically significant results are limited