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Background: Quality of life is a core concern for cancer patients, which can be negatively affected by illness-related death anxiety; yet understanding of how to appropriately target psycho-oncological interventions remains lacking. We aimed to explore experiential acceptance in cancer patients, and whether acceptance – as an alternative to avoidant coping – was related to and predictive of better quality of life and death anxiety outcomes.

Methods: We used a longitudinal, quantitative design with a follow-up after three months. Seventy-two participants completed a questionnaire-battery measuring illness appraisals, acceptance and non-acceptance coping-styles, quality of life, and death anxiety; 31 participants repeated the battery after three months.

Results: Acceptance was an independent explanatory and predictive variable for quality of life and death anxiety, in the direction of psychological health. Acceptance had greater explanatory power for outcomes than either cancer appraisals or avoidant response styles. Avoidant response styles were associated with greater death anxiety and poorer quality of life.

Conclusions: The findings support the role of an accepting response-style in favourable psychological outcomes, identifying a possible target for future psychological intervention. Response styles that might be encouraged in other therapies, such as active coping, planning, and positive reframing, were not associated with beneficial outcomes.

Advertisements often use fear appeals to encourage prevention focused behaviors. This approach has been somewhat successful in changing attitudes and behaviors, often encouraging consumers to secede from behaviors such as smoking or to adopt preventative behaviors such as engaging in health screenings. However, health-care marketers have been less successful in efforts to reduce obesity. The obesity crisis has led to an abundance of marketing communications designed to influence weight loss. Many of these focus on fear of physical health risks associated with being overweight which have a certain degree of uncertainty surrounding them. This study aims to examine financial threats that have lower perceptions of uncertainty, and the differential impact this type of threat has on elements of the Extended Parallel Process Model (EPPM).

A 2 × 2 experimental design is used to examine the differential impact of messages communicating threat of financial and physical risk on evoked fear, perceived uncertainty, perceived susceptibility, efficacy and intention to lose weight.

Overall results indicate that response to weight loss advertising varies given the type of threat presented. Results indicate that there is a greater level of uncertainty associated with physical health threats than that with financial threats. Moreover, even though individuals were more fearful of and felt more susceptible to physical threats, when they believed that the recommended behavior was feasible, financial threat was more influential.

To encourage weight loss and intentions to lose weight advertising in practice and advertising research primarily focus on the physical health risks associated with being overweight as a motivating factor. Current research explores the impact of financial threats on attitudes and behavioral intention and finds that financial threats are perceived as more certain than physical threats, and the communication of financial threats is more salient in its effect on weight loss intentions. An opportunity for future research is to further explore the impact of uncertainty in relation to components of EPPM and how threats varying in degrees of uncertainty may impact weight loss intentions.

This study examined subjective numeracy and its relationship with accounting judgements on probability issues.

A subjective numeracy scale (SNS) questionnaire was distributed to 231 accounting students to measure self-evaluated numeracy. Modified Bayesian reasoning tasks were applied in an accounting-related probability estimation, manipulating presentation formats.

The study revealed a positive relationship between self-evaluated numeracy and performance in accounting probability estimation. The findings suggest that switching the format of probability expressions from percentages to frequencies can improve the performance of participants with low self-evaluated numeracy.

Adding objective numeracy measurements could enhance results. Future numeracy research could add objective numeracy items and assess whether this influences participants' self-perceived numeracy. Based on this sample population of accounting students, the findings may not apply to large populations of accounting-information users.

Investors' ability to exercise sound judgement depends on the accuracy of their probability estimations. Manipulating the format of probability expressions can improve probability estimation performance in investors with low self-evaluated numeracy.

This study identified a significant performance gap among participants in performing accounting probability estimations: those with high self-evaluated numeracy performed better than those with low self-evaluated numeracy. The authors also explored a method other than additional training to improve participants' performance on probability estimation tasks and discovered that frequency formats enhanced the performance of participants with low self-evaluated numeracy.

The goal of this narrative review was to look at the link between the Mediterranean diet (MD) and the telomere length. Furthermore, this study aims to understand the impact of the MD on obesity-related telomere length.

Relevant literature was reviewed to explore the potential influence of the MD on telomere length and its association with obesity.

The MD is one of the healthiest diets of all known dietary patterns, and it is also linked to the telomere length. Except for fruits and vegetables, the main findings for other MD components are inconsistent. In terms of antioxidant and antiinflammatory properties, using the MD as a weight loss approach is a good method. For predicting changes in obesity characteristics, the initial telomere length is critical. However, there are not many studies in the field that have looked at the MD as a weight loss approach and its link to the telomere length. As a result, more research is needed to understand these connections in various groups.

This study is unique since it examines the MD, telomere length and obesity-related consequences. This study examines the MD, telomere length and obesity to determine if the MD can help lose weight while maintaining telomere length. As there are few studies on MD weight loss and telomere length, the work emphasizes the need for greater research in this area. This study fills a research gap and improves the understanding of nutrition, telomere biology and obesity-related outcomes.

Palm oil has consistently been a staple ingredient in the Malaysian diet. Despite various promotional efforts throughout the years, the health aspects of palm oil have often been undervalued, leading consumers to overlook its benefits. This study has two objectives: (1) to explore consumer behaviour in purchasing decisions for food products containing palm oil in an emerging market and (2) to examine consumer awareness of palm oil as an ingredient in various edible products related to health.

A quantitative methodology that utilises a self-administered questionnaire was adopted for data collection. The conceptual framework and hypotheses were tested using partial least squares (PLS) structural equation modelling (SEM) on a dataset of 342 respondents.

The findings revealed that three hypotheses – attitude, subjective norms (SNs) and perceived health benefits – positively impact the intention to purchase palm-oil-based food products. Additionally, results indicate that Malaysian consumers practice sustainable consumption when purchasing palm-oil-based food products.

There is a need for a greater understanding of the importance perceived health benefits have in influencing consumers' consumption of food products containing palm oil in an emerging market such as Malaysia. This research study addresses the gap in existing knowledge.

This scientific article aims to evaluate the efficacy of the drug Doxorubicin for treating hepatocellular carcinoma (HCC) in Egypt. The study analyzes data from patients referred to a multi-disciplinary consultation at the National Cancer Institute, Cairo University. The study includes 40 intermediate-stage HCC patients who underwent treatment with either Doxorubicin-Lipiodol or Doxorubicin-loaded drug-eluting beads-trans-arterial chemoembolization (DEB-TACE).

Patients referred to a multi-disciplinary consultation at the National Cancer Institute, Cairo University with a possible diagnosis of HCC in the intermediate stage were eligible for the study.

The study finds that the plasma peak concentration of Doxorubicin is significantly higher in patients treated with Lipiodol compared to those treated with DEB-TACE. The median plasma peak concentration of patients treated with Lipiodol was significantly higher 424 (202.5–731) than the peak level of patients treated with beads 84.95 (26.6–156.5) with p-value = 0.036. However, there is no significant difference in other pharmacokinetic parameters between the two treatment groups. The research article also investigates the genetic polymorphisms in HCC patients treated with Doxorubicin-Lipiodol and Doxorubicin-loaded DEB-TACE. It identifies a significant association between the ABCB1 gene (C3435T) and the concentration of Doxorubicin in plasma. Patients with the CCand computed tomography (CT) genotypes of ABCB1 have higher concentrations of Doxorubicin compared to those with the TT genotype. Furthermore, the study examines the progression-free survival rates and tumour response in the two treatment groups. It demonstrates that DEB-TACE patients have a higher progression-free survival rate compared to cTACE patients. DEB-TACE also leads to better tumour regression.

The current study helps to increase the understanding of the genetic factors that may contribute to HCC susceptibility in the Egyptian population. However, it is essential to consider that genetic polymorphism is just one aspect of HCC risk, and other factors such as environment, lifestyle and viral infections also play crucial roles. Further research is needed to elucidate the complex interactions between genetic and environmental factors in HCC development among Egyptians.

This article aims to examine how users' involvement in value co-creation influences the development and orchestration of well-being ecosystems to help tackle complex societal challenges. This research contributes to the public management literature and answers recent calls to investigate novel public service governances by discussing users' involvement and value co-creation for novel well-being solutions.

The authors empirically explore this phenomenon through a case study of a complex ecosystem addressing increased well-being, focussing on the formative evaluation stage of a longitudinal evaluation of Sweden's first support centre for people affected by cancer. Following an abductive reasoning and action research approach, the authors critically discuss the potential of user involvement for the development of well-being ecosystems and outline preconditions for the success of such approaches.

The empirical results indicate that resource reconfiguration of multi-actor collaborations provides a platform for value co-creation, innovative health services and availability of resources. Common themes include the need for multi-actor collaborations to reconfigure heterogeneous resources; actors' adaptive change capabilities; the role of governance mechanisms to align the diverse well-being ecosystem components, and the engagement of essential actors.

Although using a longitudinal case study approach has revealed stimulating insights, additional data collection, multiple cases and quantitative studies are prompted. Also, the authors focus on one country but the characteristics of users' involvement for value co-creation in innovative well-being ecosystems might vary between countries.

The findings of this study demonstrate the value of cancer-affected individuals, with “lived experiences”, acting as sources for social innovation, and drivers of well-being ecosystem development. The findings also suggest that participating actors in the ecosystem should utilise wider knowledge and experience to tackle complex societal challenges associated with well-being.

Policymakers should encourage the formation of well-being ecosystems with diverse actors and resources that can help patients navigate health challenges. The findings especially show the potential of starting from the user's needs and life situation when the ambition is to integrate and innovate in fragmented systems.

The proposed model proposes that having a user-led focus on innovating new solutions can play an important role in the development of well-being ecosystems.

This systematic review examined the emerging threat of indoor and outdoor pollutants to public health in Latin America and the Caribbean (LAC).

Pollutants and pollution levels are becoming an increasing cause for concern within the LAC region, primarily because of the rapid increase in urbanization and the use of fossil fuels. The rise in indoor and outdoor air pollutants impacts public health, and there are limited regional studies on the impact of these pollutants and how they affect public health. A comprehensive literature search was conducted using Google Scholar, PubMed, Scopus, EBSCOhost, Web of Science and ScienceDirect databases. Significant search terms included “indoor air pollution,” “outdoor air pollution,” “pollution,” “Latin America,” “Central America,” “South America” and “Caribbean was used.” The systematic review utilized the Rayyan systematic software for uploading and sorting study references.

Database searches produced 1,674 results, of which, after using the inclusion–exclusion criteria and assessing for bias, 16 studies were included and used for the systematic review. These studies covered both indoor and outdoor pollution. Various indoor and outdoor air pollutants linked to low birth weight, asthma, cancer and DNA impairment were reported in this review. Even though only some intervention programs are available within the region to mitigate the harmful effects of pollution, these programs need to be robust and appropriately implemented, causing possible threats to public health. Significant gaps in the research were identified, especially in the Caribbean.

Limitations of the study include limited available research done within LAC, with most of the research quantifying pollutants rather than addressing their impacts. Additionally, most studies focus on air pollution but neglect water and land pollution’s effects on public health. For this reason, the 16 studies included limited robustness of the review.

Although available studies quantifying pollution threats in LAC were identified in this review, research on the adverse impacts of pollution, especially concerning public health, is limited. LAC countries should explore making cities more energy-efficient, compact and green while improving the transportation sector by utilizing clean power generation. In order to properly lessen the effects of pollution on public health, more research needs to be done and implemented programs that are working need to be strengthened and expanded.

The occupational health risk associated with the production of prefabricated concrete components is often overlooked. This paper will use a damage assessment and cyclic mitigation (DACM) model to provide individualized exposure risk assessment and corresponding mitigation management measures for workers who are being exposed.

The DACM model is proposed based on the concept of life cycle assessment (LCA). The model uses Monte-Carlo simulation for uncertainty risk assessment, followed by quantitative damage assessment using disability-adjusted life year (DALY). Lastly, sensitivity analysis is used to identify the parameters with the greatest impact on health risks.

The results show that the dust concentration is centered around the mean, and the fitting results are close to normal distribution, so the mean value can be used to carry out the calculation of risk. However, calculations using the DACM model revealed that there are still some work areas at risk. DALY damage is most severe in concrete production area. Meanwhile, the inhalation rate (IR), exposure duration (ED), exposure frequency (EF) and average exposure time (AT) showed greater impacts based on the sensitivity analysis.

Based on the comparison, the DACM model can determine that the potential occupational health risk of prefabricated concrete component (PC) factory and the risk is less than that of on-site construction. It synthesizes field research and simulation to form the entire assessment process into a case-base system with the depth of the cycle, which allows the model to be continuously adjusted to reduce the occupational health damage caused by production pollution exposure.

The mortality rate due to skin cancers has been increasing over the past decades. Early detection and treatment of skin cancers can save lives. However, due to visual resemblance of normal skin and lesion and blurred lesion borders, skin cancer diagnosis has become a challenging task even for skilled dermatologists. Hence, the purpose of this study is to present an image-based automatic approach for multiclass skin lesion classification and compare the performance of various models.

In this paper, the authors have presented a multiclass skin lesion classification approach based on transfer learning of deep convolutional neural network. The following pre-trained models have been used: VGG16, VGG19, ResNet50, ResNet101, ResNet152, Xception, MobileNet and compared their performances on skin cancer classification.

The experiments have been performed on HAM10000 dataset, which contains 10,015 dermoscopic images of seven skin lesion classes. The categorical accuracy of 83.69%, Top2 accuracy of 91.48% and Top3 accuracy of 96.19% has been obtained.

Early detection and treatment of skin cancer can save millions of lives. This work demonstrates that the transfer learning can be an effective way to classify skin cancer images, providing adequate performance with less computational complexity.