A growing number of companies in the brewery industry have made commitments to measure and reduce their greenhouse gas (GHG) emissions. However, many brewers, particularly craft brewers with relatively low rates of production, have not made such commitments. The purpose of this research was to investigate the challenges and benefits of measuring and reducing GHG emissions in the craft brewery industry. The research was conducted in Ontario, Canada, which has seen strong recent growth in the craft brewery industry. A case study and semi-structured interviews among Ontario Craft Brewers were conducted. The case study found that indirect (scope 3 GHGs under the WBCSD & WRI GHG Protocol) GHG sources accounted for 46.4% of total GHGs, with major sources from barley agriculture, malted barley transportation, and bottle production. Direct emissions (scope 1) accounted for only 14.9% of GHGs, while scope 2 emissions, comprised mainly of energy consumption, accounted for 38.7% of GHGs. The case study used case company primary data, and secondary data such as emission factors from external sources. The case study and interviews found that the main challenges in calculating brewery GHGs are secondary data availability, technical knowledge, and finances. The semi-structured interviews, which used prepared interview questions and probes to encourage follow-up answers, also found that the main benefits for Ontario breweries to measure their GHGs include sustainability marketing and preserving the environment. The interviews also found a poor understanding of carbon regulation among Ontario Craft Brewers, which is interesting considering that Ontario implemented a provincial cap and trade program in 2017.
ObjectiveSerious mental illnesses (SMI) and alcohol use disorder (AUD) co-occurrence (SMI-AUD) is common, yet little is known about the prevalence and risk factors of cognitive impairment for this population. We used the National Institutes of Health (NIH) Toolbox to identify clinically significant cognitive impairment (CSCI), describe the cognitive profile, and investigate whether psychiatric and AUD severity measures are associated with CSCI in individuals with SMI-AUD.MethodsCSCI was defined as 2 or more fully corrected fluid subtest T scores below a set threshold based on an individual’s crystalized composite score. Psychiatric severity measures included the Structured Clinical Interview for DSM-V (SCID-5) for SMI diagnosis and the Positive and Negative Syndrome Scale. AUD severity measures included the SCID-5 for AUD symptom severity score, years of alcohol use, and urine ethyl glucuronide levels. A multivariable logistic regression was used to investigate the adjusted effects of each variable on the probability of CSCI.ResultsForty-one percent (N = 55/135) of our sample had CSCI compared with the base rate of 15% from the NIH Toolbox normative sample. Subtests measuring executive function most frequently contributed to meeting criteria for CSCI (Flanker and Dimensional Change Card Sort). A history of head injury (P = 0.033), increased AUD symptom severity score (P = 0.007) and increased negative symptom severity score (P = 0.027) were associated with CSCI.ConclusionsCognition should be considered in the treatment of people with SMI-AUD, particularly in those with history of brain injury, higher AUD symptom severity, and/or negative symptom severity.
A growing number of companies in the brewery industry have made commitments to measure and reduce their greenhouse gas (GHG) emissions. However, many brewers, particularly craft brewers with relatively low rates of production, have not made such commitments. The purpose of this research was to investigate the challenges and benefits of measuring and reducing GHG emissions in the craft brewery industry. The research was conducted in Ontario, Canada, which has seen strong recent growth in the craft brewery industry. A case study and semi-structured interviews among Ontario Craft Brewers were conducted. The case study found that indirect (scope 3 GHGs under the WBCSD & WRI GHG Protocol) GHG sources accounted for 46.4% of total GHGs, with major sources from barley agriculture, malted barley transportation, and bottle production. Direct emissions (scope 1) accounted for only 14.9% of GHGs, while scope 2 emissions, comprised mainly of energy consumption, accounted for 38.7% of GHGs. The case study used case company primary data, and secondary data such as emission factors from external sources. The case study and interviews found that the main challenges in calculating brewery GHGs are secondary data availability, technical knowledge, and finances. The semi-structured interviews, which used prepared interview questions and probes to encourage follow-up answers, also found that the main benefits for Ontario breweries to measure their GHGs include sustainability marketing and preserving the environment. The interviews also found a poor understanding of carbon regulation among Ontario Craft Brewers, which is interesting considering that Ontario implemented a provincial cap and trade program in 2017.
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