In recent years, the consumption of disposable plastic items such as single-use plastic bags, plates, cutlery and so on has rapidly increased in Iran. Present study explored the Iranians' experiences in terms of the consumption of disposable single-use plastics. A qualitative content analysis study was conducted in Delfan, Lorestan, Iran in 2017. Thirty semi-structured in-depth interviews were done with citizens who resided in Delfan. Participants were asked about their experiences of single-use plastics consumption. After the first interview, continuous analysis of data began and continued up to data saturation. Three main themes including perceived barriers for less consumption of disposable single-use plastics, decisional balance and structural factors emerged as the Iranians' experiences in terms of the consumption of disposable single-use plastics. Health promotion practitioners should increase public awareness about the harmful outcomes of high consumption of disposable single-use plastic items through mass media. In addition, they should convince policymakers to enact laws for increasing the production of recyclable single-use items.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.etap.2018.11.004DOI Listing

Publication Analysis

Top Keywords

consumption disposable
24
disposable single-use
16
single-use plastics
16
experiences terms
12
terms consumption
12
health promotion
8
plastic items
8
single-use plastic
8
iranians' experiences
8
consumption
7

Similar Publications

Single-use plastics (SUPs) are used widely in cancer research laboratories. They are cheap, durable, and lightweight, and until now have been considered disposable items. This, however, contributes significantly to unsustainable waste production.

View Article and Find Full Text PDF

Objective: In order to reduce the price and increase the accessibility of innovative medicines, China has implemented the National Drug Price Negotiation (NDPN) since 2016. Anticancer drug is the largest category of NDPN and the number continue to increase. This study evaluated the impact of this policy on the price, utilization rate and affordability of anticancer drugs based on the experiences of Shandong province.

View Article and Find Full Text PDF

Accurate and efficient traffic prediction directly determines the construction scale and investment budget of communication networks, which is crucial for network planning. Despite the rise of popular machine learning models, traditional statistical models maintain significant advantages in interpretability, controllability and simplicity, retaining an essential role in contemporary communication network traffic prediction. This paper analyzes and predicts the inter-provincial egress traffic of 31 provinces in a large-scale operational IP backbone network using traditional regression analysis, the time series Prophet model, and a novel combination of these two prediction models.

View Article and Find Full Text PDF

Random lasers (RLs) with a simple structure and low-cost properties have been recognized as an ideal analytical platform and are still challenging for liquid detecting, remaining beset for low sensitivity, complicated operation, and large analyte consumption. Here, inspired by a microfluidic sensor, a microtubule structured random laser for multifunctional sensing is demonstrated. The random laser is achieved resorting to a curly PMMA film with gain and scatterers embedded in it.

View Article and Find Full Text PDF

Background: The evolution of endoscopic surgery has introduced a multitude of instruments, available in both disposable and reusable variants, influencing practices across various surgical specialties. Instrument selection is complex, considering individual preferences and institutional factors such as costs, instrument performance, and factors related to cleaning and sterilization. Notably, environmental sustainability has gained prominence due to the threat of climate change.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!