“…For context, clean signs, balconies, cafes, street lights, no cuts between buildings, and flowers were low risk for crime and witnesses, little traffic, and bike signals low risk for crash. …”
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“…Participatory approaches including knowledge cafés will also be used to add more views of stakeholders with experiential knowledge.…”
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“…On the other hand, the COVID-19 pandemic helped approximately 65% of the studied participants to abstain from ordering from restaurants and cafes. Additionally, 63% of them reported gaining new skills or behaviors during the pandemic. …”
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“…In later stages of restrictions, physical activity became an opportunity for social interaction and several participants reported intending to continue to replace sedentary means of socialising (e.g., meeting in cafes) with more active, outdoor activities (e.g., walking) once restrictions were lifted. …”
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“…Home-based exposure did not change significantly post-legislation. Reported exposure in cafés or restaurants, buses and trains, and indoor leisure facilities fell significantly. …”
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“…RESULTS: The main findings of the study were: a) 14.2% of the adolescents (mean age+/−SD: 15.3+/−1.7 years) reported regular smoking (24.1% in the age group 16–18 years), b) 84.2% of the current smokers reported daily use, c) students who live in urban and semirural areas smoke more frequently than those in rural areas, d) students in technically oriented schools smoke twice as frequent compared to those in general education, e) risk factors for smoking: male gender, low educational level of parents, friends who smoke (OR: 10.01, 95%CI: 8.53-11.74, p<0.001), frequent visits to internet cafes (OR:1.53, 95%CI: 1.35-1.74, p<0.001), parents, siblings (OR:2.24, 95%CI: 1.99-2.51, p<0.001) and favorite artist (OR:1.18, 95%CI: 1.04-1.33, p=0.009) who smoke, f) protective factors against smoking: participation in sports (OR:0.59, 95%CI: 0.53-0.67, p<0.001), watching television (OR:0.74, 95%CI 0.66-0.84, p<0.001) and influence by health warning messages on cigarette packets (OR:0.42, 95%CI: 0.37, 0.48, p<0.001). …”
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“…Results show that most students, residents and lecturers have access to computers and Internet, although students’ access is mainly at home for computers and at cyber cafés for Internet. Most of the participants have a fairly good mastery of ICT. …”
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“…While all but one health region in England provided CRTs for working age adults, there was high variability regarding provision of all other community crisis service models and system configurations. Crisis cafes, street triage teams and separate crisis assessment services have all proliferated since a similar survey in 2016, while provision of acute day units has reduced. …”
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“…Outcomes were 1) visit frequency to i) cafés, ii) restaurants, bars or bistros, iii) major chain fast food outlets and iv) takeaway outlets to purchase food; 2) total number of different types of out-of-home food outlets visited; 3) use frequency of home food delivery services; 4) distance from home to the most frequented out-of-home food outlets. …”
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“…This includes for example to proximity to vehicle emissions, either for social purposes (e.g. street cafes) or exercising (e.g. walking or jogging along busy roads)or indoor environments affected by combustion emissions (smoking, candle burning, open fire).…”
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“…Logistic regression revealed that the followings were independently associated with shisha smoking: always drink alcohol (p = 0.003); drink alcohol occasionally (p = 0.045); having friend(s) who smoke shisha (p = 0.001); being aware of shisha’s availability in cafes, bars and restaurants in Kigali (p = 0.022); positive attitude towards shisha smoking (p < 0.001) and participants with age < 20 years (p = 0.039). …”
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“…Publicly accessible databases, Google Maps and Open Street Map, were used to obtain geographic information system data on distance to neighbourhood amenities, including lifestyle (cafés, libraries, movie theatres, parks), daily life (post offices, convenience stores), healthcare (hospitals, pharmacies) and percentages of local green and blue spaces within 400 and 800 m of participants’ residences. …”
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“…RESULTS: While purchasing cigarettes from supermarkets was widely regarded as difficult, many participants purchased cigarettes from noncompliant retailers (often in smaller shops or cafes). Other contra-mechanisms included circumventing age checks, proxy purchases, and/or social sources. …”
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“…The most severe measures to date include all restaurants, pubs and cafes being ordered to close on 20th March, followed by a “stay at home” order on the 23rd March and the closure of all non-essential retail outlets for an indefinite period. …”
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“…The factors associated with SUA included gender (β = 0.634, p = 0.004), grade (8(th) β = 1.591, p<0.001, 9(th) β = 1.674, p<0.001, 10(th) β = 1.497, p = 0.001, 11(th) β = 1.041, p = 0.004, 12(th) β = 2.610, p<0.001), drinking alone (β = -2.147, p = 0.002), liquor commercial (β = 1.644, p<0.001), ease of alcohol purchase (β = 1.541, p = 0.025), parent’s recommendation for drinking (β = 1.084, p<0.001), not knowing the mother’s education level (β = -0.685, p = 0.045), positive expectancy of drinking (β = 0.141, p<0.001), number of pubs (β = 0.303, p = 0.002), internet game cafes (β = 0.456, p = 0.019), and karaokes (β = -0.098, p = 0.023) in the community. …”
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“…The Saudi Food and Drug Authority (SFDA) has imposed calorie labels on the menus of restaurants and cafes. The current study looked at how the calorie labeling policy affects Saudi male and female students’ dietary habits, nutritional knowledge, and awareness. …”
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“…We examined three types of interactions—vocal, visual, and bimodal—by coding video clips of 12 cats living in cat cafés. In a fourth (control) condition, the human interlocutor refrained from emitting any communication signal. …”
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“…Spent Coffee Grounds (SCG) is an agricultural residue obtained in a large quantity from local cafes in Thailand. In order to handle this waste effectively, the valorization of SCG is essential. …”
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“…Boys (OR: 1.41, 95%CI: 1.09 -1.82), having a TV in the bedroom (OR: 1.86, 95%CI: 1.15 - 3.01), having access to internet at home (OR: 1.93, 95%CI: 1.12 - 3.31) or at internet cafés (OR: 2.01, 95%CI: 1.21 - 3.34), or often watching TV with parents (OR: 2.27, 95%CI: 1.37 - 3.74) were all associated with being more likely to be high screen users (≥ 2 hours/day). …”
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“…This study is limited by its exclusion of foods purchased out of the home, including at restaurants, cafes, and takeaways. It also does not include salt added at the table, or that naturally occurring in foods, meaning the findings underrepresent the population’s total salt intake. …”
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