It can be argued that environmental policy approval (EPA) is a key individual response to the global ecological crisis. This study explores EPA in two ways. First, we tested the dimensional structure of EPA applying confirmatory factor analysis to a newly constructed 24-item scale. Specifically, we analyzed a one-dimensional EPA model, a two-dimensional model that tells existing policies apart from claimed policies, a three-dimensional model that splits EPA into fields of action (energy, agriculture/nutrition, and mobility/transport), and a four-dimensional model that segments EPA into policy types (charges, regulations, infrastructure, and adaptation). Second, we examined the extent to which EPA can be regarded as a variant of environmental attitude or pro-environmental behavior by estimating the relationship of the EPA scale with established measures of environmental attitude and pro-environmental behavior via path analyses. The results (N = 276) indicate marginally superior fits for the three-factor fields-of-action model and the path model that describes EPA as a pro-environmental behavior. Our findings also suggest that EPA is particularly strongly predicted by affective environmental attitude.
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http://dx.doi.org/10.1016/j.actpsy.2024.104613 | DOI Listing |
Rev Lat Am Enfermagem
January 2025
Universidade Estadual de Londrina, Departamento de Enfermagem, Londrina, PR, Brazil.
Objective: to understand the perception of teachers and health professionals regarding the use of the Play Nicely Program for parents/caregivers in the prevention of violence against children.
Method: a descriptive and exploratory qualitative study was conducted through three focus groups with twenty primary school teachers and primary health care professionals who implemented the Program for parents/caregivers in 2022. The data analysis was guided by French discourse analysis, interpreted through the lens of Urie Bronfenbrenner's theory.
PLoS One
January 2025
Faculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lumpur, Malaysia.
Background: Online malicious attempts such as scamming continue to proliferate across the globe, aided by the ubiquitous nature of technology that makes it increasingly easy to dupe individuals. This study aimed to identify the predictors for online fraud victimization focusing on Personal, Environment and Behavior (PEB).
Methods: Social Cognitive Theory (SCT) was used as a guide in developing the PEB framework.
Cancer Nurs
January 2025
Authors' Affiliation: Centre for Community Health and Wellbeing, The University of Queensland, Springfield, Queensland, Australia.
Background: Cancer and its physiological and psychological effects are well defined, but how these factors impact health system navigation for people living with cancer (PLWC) is lacking.
Objective: To develop a theory explaining how PLWC navigate health systems to meet their health and well-being needs.
Methods: This study used multi-grounded theory to explain how PLWC navigate health systems to meet their needs.
West J Nurs Res
January 2025
UT Health San Antonio, San Antonio, TX, USA.
Background: Provision of palliative care in acute care settings is significantly lacking despite evidence that early integration leads to better patient/family-related outcomes and improved healthcare cost and efficiency.
Objective: This study investigated influencing factors that affect the nature and frequency of palliative care practices of acute care nurses.
Methods: A descriptive, cross-sectional design was used to examine the effects of personal and environmental factors on nurses' palliative care practices in the acute care setting.
Front Public Health
January 2025
Department of Occupational Health and Radiological Protection, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
Objective: Assess the level of radiation-related knowledge (RRK) and nuclear energy-related knowledge (NERK) among residents near the Sanmen Nuclear Power Plant, the first project adopted the Advanced Passive Pressurized Water Reactor (AP1000) technology.
Methods: In this study, respondents were selected using stratified multi-stage random sampling for residents aged 18 years and above living within 30 kilometers of the Sanmen Nuclear Power Station. Respondents were surveyed face-to-face by investigators who received standardized training.
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