scholarly journals Exploring Machine Autonomy and Provenance Data in Coffee Consumption

2018 ◽  
Vol 2 (CSCW) ◽  
pp. 1-25 ◽  
Author(s):  
Ella Tallyn ◽  
Larissa Pschetz ◽  
Rory Gianni ◽  
Chris Speed ◽  
Chris Elsden
Keyword(s):  
Coffee Consumption ◽  
Provenance Data

Protective effects of coffee consumption following liver transplantation for hepatocellular carcinoma

2018 ◽  
Vol 56 (01) ◽  
pp. E2-E89
Author(s):  
G Wiltberger ◽  
U Lange ◽  
H Hau ◽  
D Seehofer ◽  
F Krenzien ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Liver Transplantation ◽  
Coffee Consumption ◽  
Protective Effects

scholarly journals Coffee consumption and risk of renal cell carcinoma in the NIH-AARP Diet and Health Study

2021 ◽  
Author(s):  
Jongeun Rhee ◽  
Erikka Loftfield ◽  
Neal D Freedman ◽  
Linda M Liao ◽  
Rashmi Sinha ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Cox Regression ◽  
Coffee Consumption ◽  
Health Study ◽  
Coffee Intake ◽  
Decaffeinated Coffee ◽  
Incident Cases ◽  
Reduced Risk

Abstract Background Coffee consumption has been associated with a reduced risk of some cancers, but the evidence for renal cell carcinoma (RCC) is inconclusive. We investigated the relationship between coffee and RCC within a large cohort. Methods Coffee intake was assessed at baseline in the National Institutes of Health–American Association of Retired Persons Diet and Health Study. Among 420 118 participants eligible for analysis, 2674 incident cases were identified. We fitted Cox-regression models to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for coffee consumption vs non-drinkers. Results We observed HRs of 0.94 (95% CI 0.81, 1.09), 0.94 (0.81, 1.09), 0.80 (0.70, 0.92) and 0.77 (0.66, 0.90) for usual coffee intake of <1, 1, 2–3 and ≥4 cups/day, respectively (Ptrend = 0.00003). This relationship was observed among never-smokers (≥4 cups/day: HR 0.62, 95% CI 0.46, 0.83; Ptrend = 0.000003) but not ever-smokers (HR 0.85, 95% CI 0.70, 1.05; Ptrend = 0.35; Pinteraction = 0.0009) and remained in analyses restricted to cases diagnosed >10 years after baseline (HR 0.65, 95% CI 0.51, 0.82; Ptrend = 0.0005). Associations were similar between subgroups who drank predominately caffeinated or decaffeinated coffee (Pinteraction = 0.74). Conclusion In this investigation of coffee and RCC, to our knowledge the largest to date, we observed a 20% reduced risk for intake of ≥2 cups/day vs not drinking. Our findings add RCC to the growing list of cancers for which coffee consumption may be protective.

scholarly journals Evaluating Conscious Consumption: A Discussion of a Survey Development Process

2021 ◽  
Vol 13 (6) ◽  
pp. 3339
Author(s):  
Madhavi Venkatesan ◽  
Fenner Dreyfuss-Wells ◽  
Anjali Nair ◽  
Astrid Pedersen ◽  
Vishnu Prasad
Keyword(s):  
Literature Review ◽  
Development Process ◽  
Coffee Consumption ◽  
Consumer Good ◽  
Survey Instrument ◽  
Survey Development ◽  
Behavioral Bias ◽  
Survey Results ◽  
Single Use ◽  
Questions And Responses

This paper is the outcome of a course project for Economics of Sustainability (Northeastern University, Boston, Massachusetts). Facilitated and under the direction of the instructor, course participants designed a survey instrument where questions and responses were developed to be indicators of behavioral bias related to the environment. The consumer good targeted in the survey was convenience-based coffee consumption, and convenience was defined by the use of single-use disposable coffee cups. The discussion highlights the survey development process including literature review-based expectations specific to each question. The paper concludes with next steps, which involve the administration of the instrument and evaluation of the survey results.

Tea and coffee consumption and the risk of urinary stones—a systematic review of the epidemiological data

2021 ◽  
Author(s):  
Yazeed Barghouthy ◽  
Mariela Corrales ◽  
Steeve Doizi ◽  
Bhaskar K. Somani ◽  
Olivier Traxer
Keyword(s):  
Systematic Review ◽  
Coffee Consumption ◽  
Epidemiological Data ◽  
Urinary Stones
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