Dataset Information

Influencing factors and reduction of domestic solid waste at university dormitory in Shanghai, China.

ABSTRACT: Increasing domestic solid waste (DSW) is becoming one of the most serious challenges for city and regional environment. As an epitome of the society, the investigation on the influencing factors and reduction of DSW of university students can not only provide policy suggestions for the waste management in the university campus, but also can achieve demonstration effect to other communities due to its high social status and wide impacts. This research combined direct weighing, questionnaire surveys, and regression analysis to quantify the influencing factors of DSW at East China Normal University's dormitory in Shanghai. Direct weighting and questionnaire survey were conducted in 112 randomly selected dormitory rooms. Totally 523 valid questionnaires were collected. It is found that the average waste generation was 0.275 kg/day/cap, in which residual waste accounted for 64% of total, followed by household food waste (29%), and recyclable waste (7%). Regressions based on ordinary least square method suggested that students' attitude towards waste played the most important role in affecting the waste reduction with its elasticity - 0.195. Lower educational level and better financial condition would lead to more waste generation, whose elasticity was 0.148 and 0.098 respectively. The influences of gender and major varied from waste types. Policies implications for university administration departments for sustainable waste and resource management include developing personalized and humanized waste management policies, enhancing environmental awareness through diverse educational activities, and expanding the publicity role of campus cultural activities on waste reduction.

SUBMITTER: Pan Y

PROVIDER: S-EPMC8755736 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:Legionnaires' disease is a potentially fatal pneumonia like infection caused by inhalation or aspiration of water particles contaminated with pathogenic Legionella spp. Household showers have been identified as a potential source of sporadic, community-acquired Legionnaires' disease. This study used qPCR to enumerate Legionella spp. and Legionella pneumophila in water samples collected from domestic showers across metropolitan Adelaide, South Australia. A survey was used to identify risk factors associated with contamination and to examine awareness of Legionella control in the home. The hot water temperature was also measured. A total of 74.6% (50/68) and 64.2% (43/68) showers were positive for Legionella spp. and L. pneumophila, respectively. Statistically significant associations were found between Legionella spp. concentration and maximum hot water temperature (p = 0.000), frequency of shower use (p = 0.000) and age of house (p = 0.037). Lower Legionella spp. concentrations were associated with higher hot water temperatures, showers used at least every week and houses less than 5 years old. However, examination of risk factors associated with L. pneumophila found that there were no statistically significant associations (p > 0.05) with L. pneumophila concentrations and temperature, type of hot water system, age of system, age of house or frequency of use. This study demonstrated that domestic showers were frequently colonized by Legionella spp. and L. pneumophila and should be considered a potential source of sporadic Legionnaires' disease. Increasing hot water temperature and running showers every week to enable water sitting in pipes to be replenished by the municipal water supply were identified as strategies to reduce the risk of Legionella in showers. The lack of public awareness in this study identified the need for public health campaigns to inform vulnerable populations of the steps they can take to reduce the risk of Legionella contamination and exposure.

Project description:BackgroundMyopia, strabismus, and ptosis are common pediatric eye diseases, which have a negative impact on children and adolescents in terms of visual function, mental health, and health-related quality of life (HRQoL). Therefore, this study focused on those pediatric eye diseases by analyzing their risk factors and HRQoL for the comprehensive management of myopia, strabismus, and ptosis.MethodsA total of 363 participants (2-18 years old) were included in this study for risk factors analysis of myopia, strabismus, and ptosis. We collected demographic characteristics, lifestyle habits and eye care habits of these children and analyzed them by using univariable and multivariable logistic regression. In addition, we applied the Chinese version of Pediatric Quality of Life Inventory-Version 4.0 (PedsQL 4.0) to assess HRQoL in 256 children with strabismus and ptosis. Univariable and multivariable linear regression models were applied to evaluate potential influencing factors of HRQoL.ResultsOf all the participants, 140 had myopia, 127 had strabismus, and 145 had ptosis. Based on the multivariable logistic regression analysis model, we found that the history of parental myopia and daily average near-distance eye usage time were risk factors for myopia, and increased body mass index (BMI) was identified as a risk factor for strabismus and ptosis. Individuals with ptosis possessed decreased HRQoL. The multivariable linear regression model suggested that daily average near-distance eye usage time, light intensity during visual tasks, and daily average sleep duration had potential influences on HRQoL.ConclusionThis is the first study to assess the risk factors and HRQoL of myopia, strabismus, and ptosis together. We identified risk factors for these common pediatric eye diseases to help doctors, parents, and teachers better manage them. Our study discovered that children with eye disorders exhibit a notably diminished HRQoL. Consequently, it emphasizes the necessity for increased social attention and mental health assistance for these children.

Project description:IntroductionThe use of electronic cigarettes (e-cigarettes) in adults is increasing globally, and similar trends may be observed in the young population. Our objective was to estimate the awareness and use of e-cigarettes among the students from two comprehensive universities in Shanghai, China, and to identify the factors that may influence their decision to use e-cigarettes and their possible adverse effects.MethodsAn online cross-sectional survey was conducted among the students of Shanghai Jiao Tong University and Fudan University. A total of 869 students (412 males and 457 females), mean age 21.09 years (SD=2.44), were recruited in 2018. Multivariate binary logistic regression analyses were performed to explore the associations between ever e-cigarette use and influencing factors.ResultsOf the responding students, 88.4% were aware of e-cigarettes, 4.6% had used e-cigarettes at least once in their lifetime, and 1.7% were current e-cigarettes users. Males and smokers were more likely to use e-cigarettes (ever used e-cigarettes even once) than females (OR=3.51; 95% CI: 1.69-7.27; p=0.001) and non-smokers (OR=28.58; 95% CI: 14.03-58.20; p<0.001). University students were easily motivated to use e-cigarettes when their peers also used them, and the risk ratio was 4.15 (95% CI: 2.11-8.19) compared with if their peers never used e-cigarettes. The major factors found to motivate university students to use e-cigarettes were the belief that e-cigarettes were less harmful or not harmful (55.0%) and the perception that e-cigarettes were helpful to quit smoking (37.5%). The survey also indicated that 72.4% of the respondents heard about e-cigarettes from television advertisements, 42.7% from websites online, and 41.2% from their parents and friends.ConclusionsUniversity students who were males, cigarette smokers and whose peers used e-cigarettes were more likely to use e-cigarettes. The use of traditional cigarettes should be controlled strictly in order to reduce the likelihood of e-cigarette use among university students.

Dataset Information

Influencing factors and reduction of domestic solid waste at university dormitory in Shanghai, China.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets