Awareness Messages Research Articles

Public perceptions of HIV/AIDS awareness in the Gulf Council Cooperation countries: a qualitative study

BackgroundAwareness of Human Immunodeficiency Virus (HIV) is limited in Muslim countries, even among high-risk populations. Several factors contribute to the misunderstandings and stigma surrounding HIV, including socio-cultural and religious aspects. This study explored people's experiences and perceptions of HIV awareness campaigns in the Gulf Cooperation Council (GCC) region.MethodsWe conducted a qualitative study using semi-structured interviews with participants from the GCC region. The data were analysed using reflexive thematic analysis methods.ResultsTwenty-seven participants took part in this study. The data revealed five main themes: The Necessity of HIV/AIDS Awareness, The Contrast Between Traditional and Modern Awareness, Exploring the Balance: Moral vs. Health Messages, HIV/AIDS Awareness in GCC countries, and Key Providers of HIV/AIDS Awareness. All participants emphasised the need to raise awareness about HIV in the GCC, believing that recent societal changes and increased openness justify the need for sexual health education. They stressed the importance of delivering clear and assertive health education to raise awareness while minimising the reliance on fear-based messaging. However, some participants expressed concerns about promoting condom use and HIV treatment, fearing it might encourage extramarital sex. Additionally, the lack of a religious component in the awareness messages raised concerns among some participants, as they believed adhering to religious practices was the best protection against HIV.ConclusionsMuslims in the GCC recognise the importance of spreading awareness about HIV. However, they stress the need to balance religious sensitivity with the delivery of open and transparent health messages. Engaging the target community, including high-risk individuals, in planning health campaigns is crucial for improving the acceptance, reach, inclusivity, and understanding of health awareness programs.

Prediction of Drivers’ Red-Light Running Behaviour in Connected Vehicle Environments Using Deep Recurrent Neural Networks

Red-light running at signalised intersections poses a significant safety risk, necessitating advanced predictive technologies to predict red-light violation behaviour, especially for advanced red-light warning (ARLW) systems. This research leverages Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) models to forecast the red-light running and stopping behaviours of drivers in connected vehicles. We utilised data from the Ipswich Connected Vehicle Pilot (ICVP) in Queensland, Australia, which gathered naturalistic driving data from 355 connected vehicles at 29 signalised intersections. These vehicles broadcast Cooperative Awareness Messages (CAM) within the Cooperative Intelligent Transport Systems (C-ITS), providing kinematic inputs such as vehicle speed, speed limits, longitudinal and lateral accelerations, and yaw rate. These variables were monitored at 100-millisecond intervals for durations from 1 to 4 s before reaching various distances from the stop line. Our results indicate that the LSTM model outperforms the GRU in predicting both red-light running and stopping behaviours with high accuracy. However, the pre-trained GRU model performs better in predicting red-light running specifically, making it valuable in applications requiring early violation prediction. Implementing these models can enhance red-light violation countermeasures, such as dynamic all-red extension (DARE), decreasing the likelihood of severe collisions and enhancing road users’ safety.

Optimal obfuscation of awareness messages: Improving users’ unlinkability in Intelligent Transport Systems

Optimal obfuscation of awareness messages: Improving users’ unlinkability in Intelligent Transport Systems

Determinants of Cervical Cancer Screening Among Rural Women in Zimbabwe.

To identify the determinants of cervical cancer (CC) screening among underserved rural women in Zimbabwe. Community-based cross-sectional survey. 840 rural women (25-65 years). A structured, pretested questionnaire was used to collect data on sociodemographic characteristics and factors influencing screening. The outcome was defined as self-reported ever screening for CC. Multivariable logistic regression was used to examine the association between CC screening and independent variables. Of the 840 women included, 33% had a history of screening. Women 25-45 years (adjusted odds ratio (aOR): 0.43; 95% CI: 0.30-0.61) and without medical insurance (aOR: 0.66; 95% CI: 0.45-0.97) had reduced odds of CC screening. Conversely, women who had seen or heard messages on CC screening (aOR: 1.48; 95% CI: 1.03-2.13), were living with HIV (aOR: 1.87; 95% CI: 1.22-2.87) reported recent antibiotic use (aOR: 4.50; 95% CI: 1.47-13.79) and had malaria in the last 6 months (aOR: 2.45; 95% CI: 1.02-5.86) had increased odds of CC screening. There is a need for intensified efforts to improve CC screening uptake, particularly in underserved rural areas with suboptimal screening rates and high CC burden. Strategies should include widespread tailored awareness messaging targeting younger women, women living with HIV, and women without medical insurance.

Audience awareness of radio messages on adopting malaria preventive measures among rural dwellers in Oyo state, Nigeria

Purpose This study aims to examine the audience awareness of radio messages on malaria prevention and how these messages have influenced the adoption of malaria preventive measures among rural dwellers in Oyo State, Nigeria. Design/methodology/approach This research adopted a mixed-method approach, combining surveys and qualitative focus group discussions to gather data on respondents’ attitudes, knowledge and practices related to malaria prevention. The authors used Frequency distribution involving tables to present quantitative data, while we deployed thematic analysis to present qualitative data. Findings Results showed that most rural dwellers (86.5%) were exposed to malaria prevention radio messages. However, findings indicated that awareness alone did not influence the adoption of malaria preventive measures; instead, a positive attitude toward messages influenced the adoption of the malaria preventive measures. Practical implications Radio stations should tailor their messaging to address daily malaria difficulties while considering the target audience’s culture and belief systems. Also efforts should be directed at developing messages that promote awareness and build favorable attitudes toward preventative measures. Finally, radio stations, government agencies and health-care professionals must work together to guarantee that malaria prevention messages are effectively distributed. Originality/value The originality of this study comes from its unique ability to examine audience awareness of radio messages, mainly as it influences the adoption of malaria preventive measures.

A Cascaded Multi-Agent Reinforcement Learning-Based Resource Allocation for Cellular-V2X Vehicular Platooning Networks.

The platooning of cars and trucks is a pertinent approach for autonomous driving due to the effective utilization of roadways. The decreased gas consumption levels are an added merit owing to sustainability. Conventional platooning depended on Dedicated Short-Range Communication (DSRC)-based vehicle-to-vehicle communications. The computations were executed by the platoon members with their constrained capabilities. The advent of 5G has favored Intelligent Transportation Systems (ITS) to adopt Multi-access Edge Computing (MEC) in platooning paradigms by offloading the computational tasks to the edge server. In this research, vital parameters in vehicular platooning systems, viz. latency-sensitive radio resource management schemes, and Age of Information (AoI) are investigated. In addition, the delivery rates of Cooperative Awareness Messages (CAM) that ensure expeditious reception of safety-critical messages at the roadside units (RSU) are also examined. However, for latency-sensitive applications like vehicular networks, it is essential to address multiple and correlated objectives. To solve such objectives effectively and simultaneously, the Multi-Agent Deep Deterministic Policy Gradient (MADDPG) framework necessitates a better and more sophisticated model to enhance its ability. In this paper, a novel Cascaded MADDPG framework, CMADDPG, is proposed to train cascaded target critics, which aims at achieving expected rewards through the collaborative conduct of agents. The estimation bias phenomenon, which hinders a system's overall performance, is vividly circumvented in this cascaded algorithm. Eventually, experimental analysis also demonstrates the potential of the proposed algorithm by evaluating the convergence factor, which stabilizes quickly with minimum distortions, and reliable CAM message dissemination with 99% probability. The average AoI quantity is maintained within the 5-10 ms range, guaranteeing better QoS. This technique has proven its robustness in decentralized resource allocation against channel uncertainties caused by higher mobility in the environment. Most importantly, the performance of the proposed algorithm remains unaffected by increasing platoon size and leading channel uncertainties.

Effects of brand awareness and feminist message level in femvertising: An experimental study

Femvertising is a general advertisement term that builds awareness of women's issues, rights, and gender equality. This particular type of advertisement is used by brands with the expectation that it will be effective on women, especially women with high levels of feminism. This study aims to determine the effects of brand awareness and the level of feminist messages on brand trust, word of mouth (WoM), attitude toward advertisements, and purchase intention. To achieve this aim, a 2 × 2 experimental design was used to manipulate the level of brand awareness and the level of feminist messages in the advertisement. A total of 405 women with high feminist attitudes participated in the experiment. Data analyses revealed that brand awareness exerts a positive effect on brand trust, but the level of feminist messages does not exert any significant effect on either brand trust or purchase intentions. Furthermore, data analyses showed that less familiar brands can achieve more positive results in attitude toward advertising and WoM if they use strong feminist messages in their advertisements, compared to well-known brands.

Awareness and perceptions of contaminants in the Dehcho and Sahtú Regions of the Northwest Territories

ABSTRACT The development and dissemination of health messaging is a critical component of reducing health disparities. Participants (n = 87) from a human biomonitoring study in six Dene communities responded to a survey about health communication regarding contaminants. The survey included questions on awareness of health messages and risk perceptions related to country foods and contaminants. The vast majority of participants reported eating country foods (99%) and heard that country foods had beneficial nutrients (90%). Seventy per cent of respondents had heard or seen messages about fish with high levels of mercury, and 60% had concerns about the safety or quality of country foods they consumed. Respondents who reported decreasing the number of fish they ate since hearing the messages about fish and mercury had lower (p = 0.04) mercury concentration in hair, compared to those who had not heard the messages. However, no differences in hair mercury were observed for respondents who reported to have changed their fishing location, chosen smaller fish or eaten less predatory fish since hearing the messages. Results indicate the need to examine reasons for self-reported behaviour changes, in addition to awareness. The conclusions of this study can inform the development of messaging and risk management decisions about contaminants within Indigenous populations.

Security-Minded Verification of Cooperative Awareness Messages

Security-Minded Verification of Cooperative Awareness Messages

A WIC Agency Drip Marketing Campaign Is Well Received and Improves Program Participation and Retention: A Quasi-Experimental Study

BackgroundLittle is known about text messaging’s influence on child retention in the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC). ObjectiveThis study aimed to evaluate the influence of WICBuzz, a WIC agency drip marketing texting campaign, on retention and participation compared with a comparison WIC agency and to assess WIC participants’ perceptions of the campaign’s added value. DesignA quasi-experimental design, with pre- and postimplementation measurement, was used to compare innovation and comparison groups’ outcomes. Outcome evaluation integrated quantitative analysis of WIC management information system data and survey data of WICBuzz recipients’ perceptions. Participants/settingData obtained for baseline (2019 calendar year) and implementation periods (March 1, 2020, to February 28, 2021), included WIC participation for children who were WIC active at the beginning of each period. WIC agency sample sizes were 6780 to 7452 children from 5189 to 5832 households (baseline) and 4599 to 5004 children from 3186 to 4297 households (implementation). InterventionWICBuzz, a drip marketing text message campaign with targeted nutrition education and WIC brand awareness messages was the intervention. The comparison agency received standard WIC care. Main outcome measuresMain outcome measures included recertification (re-enrollment during the implementation period), timely recertification (within 60 days of prior certification’s termination), retention (WIC active at the study period’s end), household WIC participation (continuous benefit issuance), and WICBuzz recipients’ WIC perceptions. Statistical analyses performedStatistical analysis included propensity score weighting and difference-in-difference modeling. Thematic analysis using a deductive approach was used to analyze the process evaluation findings. ResultsThe influence of WICBuzz on outcomes included 6.7% (95% CI 3.8% to 9.5%) higher recertification, 7.4% (95% CI 4.5% to 10.3%) higher retention, and 10.9% (95% CI 8.0% to 13.8%) higher participation compared with the comparison agency. Most WICBuzz recipients reported added value regarding WIC knowledge and perceptions. ConclusionsWIC text message campaigns can improve participation and retention and improve participant perceptions of WIC’s value.

Reactions to COVID-19 Media Awareness Campaigns: Insights from Gweru Urban High Density Suburbs

This study explored the public’s reaction to COVID-19 awareness campaigns against a myriad of conspiracies towards the COVID-19 vaccines. These conspiracies are peddled in both the mainstream and social media platforms. It is this study’s contention that some awareness messages were very convincing culminating in some sections of the public being vaccinated while on the other hand the messages were misconstrued leading to some sections of the public also rejecting to be vaccinated. In a quest to unravel the myths behind the conspiracies, this study through a mixed methods approach, interrogated 500 residents of Senga and Nehosho suburbs of Gweru of their opinions by Facebook and WhatsApp platforms. These platforms were used to avoid the spread of the pandemic through physical contact. Findings from the study indicated that the media played a crucial role in informing the public of the COVID-19 pandemic, culminating in some people getting vaccinated while on the other hand, some rightly rejected the vaccines. Those who got vaccinated indicated that the awareness messages were quite informative and thus convinced them to seek projection. On the other hand, those who rejected the vaccines did so due to ignorance, fear of the unknown, religious and political orientation among other reasons. The study therefore recommends that media messages be packaged with education so as to fully equip audiences with proper information in order for them to make informed decisions.

What are the perceptions of healthy food choices? A cross-sectional study from Saudi Arabia

Previous studies conducted in Saudi Arabia demonstrated dietary patterns or energy/nutrient intakes with limited information about Saudi’s perception about healthy food choices. Insights in the perceptions of healthy food choices are critical for developing targeted interventions to support Saudi population with the goal of improving healthy eating behaviors and, as a result, lowering the risk of diet-related diseases. Therefore, this study aimed to assess knowledge, attitude as well as the practice of people about healthy food choices in Saudi Arabia. The study employed a descriptive cross-sectional design with 303 participants included in the analysis. The population settings were at three primary healthcare centers in Tabuk city of Saudi Arabia. Data were collected through self-administered paper–pencil surveys to assess the knowledge, attitude, and practices of healthy food choices. Data were analyzed using the SPSS statistical software version 26. The results revealed that participants in this study performed above average in terms of their perceptions (knowledge, attitude, and practice) of healthy food choices. The major findings of this study showed that statistically significance difference was found between the place of residence in relation to the practices of healthy food choices (F 7,238 and p < 0.05). A significant association was observed between knowledge of healthy food choices and marital status. Multiple comparisons post hoc tests indicated that the married group was a significantly different group at α = 0.044. Additionally, the relationship between monthly income groups and attitudes was statistically significant, with p < 0.05. Findings of this study could assist health educators in developing appropriate programs, awareness messages, and community campaigns to improve perceptions about healthy food choices. The findings observed that considering why practicing healthy food choices that could lower the risk of diseases and promote optimal health could be a challenge.

Breast cancer awareness messages: investigating response among Lebanese women.

While national Lebanese studies done on breast cancer attest to the importance of awareness campaigns none, however, examine the type of content that most effectively reaches women. The purpose of this study, therefore, was to examine, through an experiment, the effectiveness of direct versus indirect messaging, in altering knowledge, risk perception, attitudes, behaviors and self-efficacy among two groups of women, those aged 18-40 and 41-65 years. Findings suggest that the designed breast cancer communication messages were perceived as informative, trustworthy and believable regardless of message type. An interaction effect indicated that the older age group (41+) who were exposed to the indirect message felt more confident in taking proactive measures than the 18- to 40-year-old participants. In addition, those exposed to the indirect message were more likely to behave as communicated than those in the direct message condition. At the very least, the messages, both direct and indirect, helped minimize misconception or correct people's knowledge about the subject. This shows that participants and by extension people, in general, pay attention to breast cancer awareness messaging. Making these messages available to all age groups and motivating them to take proactive/preventative measures becomes even more significant, especially with the higher incidence of cancer among women aged 18-40 years in Lebanon.

Cervical cancer prevention in Burkina Faso: a stakeholder's collaboration for the development of awareness messaging.

Cervical Cancer stands as the second leading cause of both incident female cancers and deaths in Burkina Faso. Unfortunately, the prevention, early detection, and care of cervical cancers are suboptimal at individual, institutional, and national levels. In October 2023, we organized a stakeholder's workshop to develop cervical cancer awareness messaging for disease control in the country. A one-text workshop was organized with stakeholders working toward improving health in general or women's health and well-being. A participatory, learning, and adaptive approach was used to facilitate discussions and activities, ensuring the contribution of all participants. Contextual evidence-based and empirical elements about cervical cancer burden and preventive strategies were presented to the participants by key informants. These served as the foundation for a collaborative formulation of messaging content that aimed at raising awareness about cervical cancer. Sixty-two participants from 28 organizations attended the workshop. They work mainly at local and international non-governmental organizations, civil society organizations, universities, university hospitals, research centers, and the Ministry of Health. During the first and second days of the workshop, the participants explored cervical cancer data, its preventive and treatment options available in Burkina Faso, communication strategies for behavioral change, and determinants of the use of prevention and health promotion services. During the following three days, 3 working groups were formed to define strategies, and key messages adapted to diverse tools and targeted audiences. All information was validated during plenary sessions before the end of the workshop and available to all participants and their organizations for cancer awareness activities. Upon conclusion of the workshop, the participants provided insightful information for the development of cervical awareness messaging in Burkina Faso. They formed the first community of practice to serve as a dynamic platform for implementation, monitoring, evaluation, and continued learning activities.

Anxiety and fear of COVID-19 as potential mechanisms to explain vaccine hesitancy among adults.

Vaccine hesitancy is a significant global problem resulting from the interaction of multiple factors, including mental health factors. However, the association of COVID-19 vaccine hesitancy with mental health has not been well-examined, especially in Arab culture. This study aims to identify the correlation between anxiety/fear of COVID-19 and vaccine hesitancy among Saudi adults. An online-based survey was administered to 558 participants from all regions of Saudi Arabia using the snowball technique. However, this sample may not be representative of the Saudi adult population. Participants responded to the Questionnaire of Vaccine Hesitancy, the COVID-19-Anxiety Questionnaire (C-19-A), and the Fear of COVID-19 Scale (FCV-19S). Data were analyzed on vaccine uptake, vaccine hesitancy, coronavirus infection, and demographic variables. The predictive factors of vaccine hesitancy were examined in one model using multiple regression analysis by the Enter method (P= 0.05). COVID-19 anxiety and fear have significant correlations with vaccine hesitancy (Phi=0.33, P=0.017; Phi=0.29, P=0.013, respectively). Anxiety and fear were higher among unhesitating participants (t =2.469, P=0.014; t=2.025, P=0.043, respectively). Participants who had previously been infected with coronavirus were more likely to be hesitant (X2=23.126, P=0.000). Participants who scored high in anxiety were more likely to be vaccinated (F=3.979, P=0.019) and have a secondary school or college education (F=4.903 P=0.002). COVID-19 anxiety, gender, and coronavirus infection significantly predicted vaccine hesitancy. Anxiety and fear of COVID-19 are among the most important factors correlated with vaccine hesitancy; unhesitant people are more likely to have anxiety and fear. COVID-19 anxiety significantly predicted vaccine hesitancy. We recommend integrating psychological care into vaccination plans to help increase the uptake rate during potential subsequent pandemics. Relevant intervention programs can be designed to help increase vaccine acceptance, deal with vaccine hesitancy, and relieve psychological symptoms during major pandemics. Psychologists can provide awareness messages, counselling seminars, online mentoring, or telemental health outreach.

Improving awareness of foreign domestic workers during the COVID-19 pandemic using infographics: An experience during the crisis

The COVID-19 epidemic is a significant humanitarian crisis witnessed in contemporary times, necessitating the exploration of techniques and approaches that might augment the capabilities of individuals within society to mitigate the adverse consequences of this pandemic. Domestic workers have always been an important part of societal structure, and it is essential to ensure their awareness about the perils of the pandemic as well as implement preventive measures. This is crucial in order to effectively address the hazards associated with the ongoing epidemic. The primary objective of this study was to assess the efficacy of infographic technology in augmenting the level of knowledge among foreign domestic workers on the COVID-19 epidemic. The present study employed a quasi-experimental design to examine and compare the effects of infographic technology on the experimental group, while the control group received only public awareness messages disseminated to all citizens and residents. The study sample comprised (16) foreign domestic workers, who were assigned to the two research groups through a random allocation process. The development of the COVID-19 pandemic awareness scale was conducted. The measurement scale consisted of three dimensions: the cognitive awareness dimension, including a set of (12) statements; the performative awareness dimension, comprising a set of (8) statements; and the psychological awareness dimension, comprising a set of (10) statements. The findings demonstrated the superiority of the experimental group, which used the infographic approach, over the control group in fostering awareness of the COVID-19 epidemic throughout its three dimensions among the participants of the study. The study suggested the need of expanding the utilization of infographics in an attempt to enhance knowledge and awareness of the COVID-19 pandemic, alongside the establishment of varied databases for migrant domestic workers. The objective is also to develop an extensive digital awareness strategy about the impacts of the COVID-19 epidemic, so as to include an increased number of informative infographics.

Modeling and evaluation of cooperative Vulnerable Road User protection schemes in realistic C-ITS environments

Vulnerable Road Users (VRUs) comprising pedestrians, cyclists, and motorcyclists are more susceptible to road traffic accidents and fatalities than other road users. Improving safety for vulnerable road users is a priority for many cities and governments, and various measures are being taken to reduce the risk of accidents and increase road safety. Advanced Cooperative Intelligent Transport Systems (C-ITS) that facilitate Vehicle-to-Everything (V2X) communication encompass Vehicle-to-Pedestrian (V2P) schemes. To address the issues and decrease the number of VRU fatalities, efficient VRU protection solutions can be seamlessly incorporated into evolving C-ITS services. This paper introduces a novel implementation and integration of VRU protection models into the Artery/OMNeT++ V2X-simulation framework as a promising solution for further wide-scale evolution in enhancing the safety of vulnerable road users. VRUs can transmit messages about their existence using the VRU Awareness Message (VAM) messaging protocol. This paper presents a performance evaluation of cooperative VRU protection scenarios with VAM protocol and deployment. Simulation results will be given for pedestrian protection models with VRU detection using sensors, collective perception, and active, VAM-based VRU Awareness message transmission.

Optimizing Hybrid V2X Communication: An Intelligent Technology Selection Algorithm Using 5G, C-V2X PC5 and DSRC

Cooperative communications advancements in Vehicular-to-Everything (V2X) are bolstering the autonomous driving paradigm. V2X nodes are connected through communication technology, such as a short-range communication mode (Dedicated Short Range Communication (DSRC) and Cellular-V2X) or a long-range communication mode (Uu). Conventional vehicular networks employ static wireless vehicular communication technology without considering the traffic load on any individual V2X communication technology and the traffic dynamics in the vicinity of the V2X node, and are hence inefficient. In this study, we investigate hybrid V2X communication and propose an autonomous and intelligent technology selection algorithm using a decision tree. The algorithm uses the information from the received Cooperative Intelligent Transport Systems (C-ITS) Cooperative Awareness Messages (CAMs) to collect statistics such as inter vehicular distance, one-way end-to-end latency and CAM density. These statistics are then used as input for the decision tree for selecting the appropriate technology (DSRC, C-V2X PC5 or 5G) for the subsequent scheduled C-ITS message transmission. The assessment of the intelligent hybrid V2X algorithm’s performance in our V2X test setup demonstrates enhancements in one-way end-to-end latency, reliability, and packet delivery rate when contrasted with the conventional utilization of static technology.

Data accuracy in Vehicle-to-X cooperative awareness messages: An experimental study for the first commercial deployment of C-ITS in Europe

Cooperative Intelligent Transportation Systems have achieved a mature technology stage and are in an early phase of mass deployment in Europe. Relying on Vehicle-to-X communication, these systems were primarily developed to improve traffic safety, efficiency, and driving comfort. However, they also offer great opportunities for other use cases. One of them is forensic accident analysis, where the received data provide details about the status of other traffic participants, give insights into the accident scenario, and therefore help in understanding accident causes. A high accuracy of the sent information is essential: For safety use cases, such as traffic jam warning, a poor accuracy of the data may result in wrong driver information, undermine the usability of the system and even create new safety risks. For accident analysis, a low accuracy may prevent the correct reconstruction of an accident. This paper presents an experimental study of the first generation of Cooperative Intelligent Transportation Systems in Europe. The results indicate a high accuracy for most of the data fields in the Vehicle-to-X messages, namely speed, acceleration, heading and yaw rate information, which meet the accuracy requirements for safety use cases and accident analysis. In contrast, the position data, which are also carried in the messages, have larger errors. Specifically, we observed that the lateral position still has an acceptable accuracy. The error of the longitudinal position is larger and may compromise safety use cases with high accuracy requirements. Even with limited accuracy, the data provide a high value for the accident analysis. Since we also found that the accuracy of the data increases for newer vehicle models, we presume that Vehicle-to-X data have the potential for exact accident reconstruction.

Environmental messages to promote sustainable seafood choices: An exploratory mobile app intervention

Using an exploratory mobile app intervention, we investigated the effectiveness of messages focusing on environmental awareness and/or environmental skills to promote sustainable seafood choices. In this study, 348 volunteers participated in a 10-week intervention. Depending on the experimental condition, participants read messages for 36 days: a) environmental awareness messages (i.e., information about the environmental impact of seafood production); b) environmental skills messages (i.e., information focusing on how to recognise and prepare sustainable seafood); c) combined messages (i.e., information that combined the previous two messages); d) no messages. We compared the effects of the conditions on attitudes towards purchasing sustainable seafood, perceived behavioural control over purchasing sustainable seafood, seafood choice, and self-reported purchase. After the intervention, participants who received the environmental awareness messages reported more positive attitudes and higher perceived behavioural control. These improvements remained stable during the follow-up period (1 month after the end of the intervention). The environmental skills messages led to an increase in positive attitudes, perceived behavioural control, and purchasing behaviour, although the purchase of sustainable seafood started to decrease at follow-up. The combined messages improved attitudes and perceived behavioural control. In addition, participants in this condition purchased more sustainable seafood at follow-up. These results contribute to our understanding of how messages can be designed to promote sustainable seafood choices.