Knowledge, attitude and purchasing behavior of Saudi mothers towards food additives and dietary pattern of preschool children
Background There are over 506 children’s products containing one or more types of additives. Maternal awareness of these additives is essential for the health of preschool-aged children, as this period is vital for children’s growth and development. This study aims to assess the knowledge, attitudes, and purchasing behaviors related to food additives among mothers living in the western region of Saudi Arabia, as well as the dietary patterns of preschool children. Method A cross-sectional study was conducted using an online survey with a convenience sample of 521 mothers of preschool-aged children (3–5 years old). The survey gathered data on the child’s age, number of children, the youngest child’s weight and height, food intolerance, tooth decay, as well as the dietary patterns of preschool children. It also assessed the mother’s knowledge, attitude, and purchasing behaviors related to food additives. Results The study found that 46.6% of mothers demonstrated good knowledge of food additives, while 56.0% demonstrated fair attitudes and 78.5% good purchasing behavior regarding additives. Additionally, the majority of mothers reported favorable dietary patterns for their preschool-aged children. “Biscuits and crackers” had the highest consumption frequency (4.98 ± 1.50), with 36.7% of children consuming them once daily, while “Soft beverages” had the lowest consumption frequency (2.73 ± 2.04), with 46.6% of children never consuming them. Statistically significant differences were identified between mothers’ knowledge and their age, education level, occupation status, and economic status (p < 0.05). ANOVA results also indicated a statistically significant difference between mothers’ attitudes and occupation status (p < 0.05). Furthermore, there were significant positive correlations between mothers’ knowledge of food additives and their attitudes (r = 0.293) and purchasing behaviors (r = 0.284) related to additives. Conclusion The findings suggest that mothers possess a relatively good level of knowledge of food additives and hold fair attitudes toward them, tending to result in healthier purchasing behaviors and dietary practices for their preschool-aged children. To increase awareness, nutrition intervention programs are required across various socio-economic groups of mothers in the western region of Saudi Arabia. These programs can significantly contribute to promoting healthier dietary practices for preschool-aged children and improving overall family health and well-being.
Almoabadi et al. (2024) Knowledge, attitude and purchasing behavior of Saudi mothers towards food additives and dietary pattern of preschool children. PeerJ 12:e18223 https://doi.org/10.7717/peerj.18223
Parental thermal conditions affect the brain activity response to alarm cue in larval zebrafish
Temperature is a crucial factor affecting the physiology of ectothermic animals, but exposure to elevated temperature during specific life stages and across generations may confer fish resilience through phenotypic plasticity. In this study, we investigate the effects of developmental and parental temperature on brain activity response to an olfactory cue in the larval zebrafish, Danio rerio. We exposed parents during reproduction and their offspring during development to control (28 °C) or elevated temperature (30 °C) and observed the response of the larval telencephalon to an alarm cue using live calcium imaging. Parental exposure to elevated temperature decreased the time till maximum brain activity response regardless of the offspring’s developmental temperature, revealing that parental thermal conditions can affect the excitability of the offspring’s neural circuitry. Furthermore, brain activity duration was affected by the interaction between parental and offspring thermal conditions, where longer brain activity duration was seen when either parents or offspring were exposed to elevated temperature. Conversely, we found shorter brain activity duration when the offspring were exposed to the same temperature as their parents, in both control and elevated temperature. This could represent an anticipatory parental effect influencing the offspring’s brain response to match the parental environment, or an early developmental effect occurring within a susceptible short time window post-fertilization. Overall, our results suggest that warming can alter processes involved in brain transmission and show that parental conditions could aid in the preparation of their offspring to respond to olfactory stimuli in a warming environment.
Sourisse et al. (2024) Parental thermal conditions affect the brain activity response to alarm cue in larval zebrafish. PeerJ 12:e18241 https://doi.org/10.7717/peerj.18241
Assessment of genetic diversity by phenological traits, field performance, and Start Codon Targeted (SCoT) polymorphism marker of seventeen soybean genotypes (Glycine max L.)
The Egyptian-farmed soybeans have a wide range of genetic diversity which is most important in plant improvement programs in order to develop new higher yielding soybean genotypes. The present study is designed to determine the genetic variability among seventeen genotypes of cultivated soybean (Glycine max L.) by examining the phenotypic level at the seedling stage, field performance over two years 2022/2023 and genetically using Start Codon Targeted (SCoT) markers. Results indicated that the SCoT markers, 100 seed weight, and tip angle (TA) traits were positively correlated with H2L12, DR 101, H15L5, and H117 genotypes. In addition, the number of branches per plant and plant height were associated with H113, H32, Crowford, H129, and D7512035. Furthermore, the length of the first internode (LFI), root width (RW), root length (RL), and shoot length (SL) were more associated with Giza 111, NC105, and Hutcheson. The hierarchical cluster analysis (HCA) and its associated heatmap explored the differences among the genotypes. It showed that all examined parameters were clustered into four distinct clusters. The obtained results showed that genotypes NC105, H30, D75_12035, and H2L12 have promising phenological and morphological traits besides tracking the inheritance of nearby genes surrounding the ATG translation start codon since they are in a monoclades. The obtained results will help the breeder plan appropriate selection strategies for improving seed yield in soybeans through hybridization from divergent clusters.
Abdel-Sattar et al. (2024) Assessment of genetic diversity by phenological traits, field performance, and Start Codon Targeted (SCoT) polymorphism marker of seventeen soybean genotypes (Glycine max L.). PeerJ 12:e17868 https://doi.org/10.7717/peerj.17868
Dynamic perspectives on biodiversity quantification: beyond conventional metrics
Our research addresses the pressing need to assess biodiversity in the face of increasing habitat destruction and species extinctions. Several researchers have modelled conventional measures to assess biodiversity. Every measure evaluates biodiversity by considering different properties. Among them Simpson and Shannon indices are widely used, they primarily focus on species richness and abundance, overlooking the importance of rare or unique species. This limitation makes it challenging to identify which species drive changes in biodiversity and hampers conservation efforts. Moreover, these measures are sensitive to sample size and biased towards dominant species, leading to inaccurate estimations. To overcome these challenges, we propose a novel mathematical model that provides a comprehensive assessment of biodiversity. Our model accounts for species dominance, addresses sample size sensitivity, and highlights the significance of rare species within a community. By applying our measure to real-time scenarios and comparing it with traditional methods using the same dataset, proposed measure demonstrated its efficacy in capturing biodiversity dynamics over time.
Bollarapu et al. (2024) Dynamic perspectives on biodiversity quantification: beyond conventional metrics. PeerJ 12:e17924 https://doi.org/10.7717/peerj.17924
The relationship between virtual simulation, critical thinking, and self-directed learning abilities of nursing students in Riyadh, Saudi Arabia
Objective The use of virtual simulation in nursing education is an effective approach for improving nursing critical thinking and self-learning abilities, but the previous studies were limited to providing the required evidence that supports the association. This study aimed to assess the relationship between virtual simulation and critical thinking disposition and self-directed learning abilities among nursing students. Methods This is a descriptive correlational, non-experimental study. It was conducted among 201 third- and fourth-year nursing students at the Academic Institution, Saudi Arabia. A non-probability convenience sampling technique was used to select the participants; then, an online, adapted questionnaire was sent to the participants, the data from which was analyzed by SPSS. Results The study findings showed that virtual simulation benefited nursing students. Most participants (56%) agreed that it helped them to think critically, and approximately 27% strongly agreed. It also enhanced their self-directed learning abilities, and the majority of the students agreed that they often review the way nursing practice is conducted. Furthermore, the results showed a significant, positive relationship between virtual simulation and the critical thinking disposition of nursing students (p-value = 0.03; correlation coefficient = 0.65), a strong positive relationship with self-directed learning abilities of nursing students (p-value = 0.004; correlation coefficient = 0.78), and a strong positive relationship between critical thinking disposition with self-directed learning abilities of nursing students (p-value = 0.01; correlation coefficient = 0.72). Conclusion There are significant relationships between virtual simulation and the critical thinking disposition and self-directed learning abilities of nursing students. Furthermore, virtual simulation made the students practice critical thinking and self-learning, so, they simulate events and try to seek out and solve the problems.
Alharbi et al. (2024) The relationship between virtual simulation, critical thinking, and self-directed learning abilities of nursing students in Riyadh, Saudi Arabia. PeerJ 12:e18150 https://doi.org/10.7717/peerj.18150
Health perceptions of patients with forgotten double-J stent
Aim In this article, we aimed to determine the health perceptions of the patients who did not apply for double-J stent (DJS) removal on time and evaluate whether health perceptions impact this behavior. Materials and Methods Health perceptions of 22 patients who were treated for forgotten double-J stent (FDJS) between January 2017–October 2020 and 25 patients who applied for DJS removal during the given appointment time in the urology department of Elazig Training and Research Hospital and Elazig Fethi Sekin City Hospital were compared using the “Health Perception Scale”. Results Health perception scale scores in the FDJS group and control group were 62-68 (mean = 64.27 ± 1.75) and 63-68 (mean = 65.36 ± 1.55), respectively. With regard to the sub-factors of the scale, control center scores were 21.86 ± 0.77 and 22.08 ± 1.15; precision scores were 16.54 ± 0.80 and 16.56 ± 0.82; importance of health scores were 12.77 ± 0, 92 and 13.32 ± 0.74; and self-awareness points were 13.04 ± 0.72 and 13.48 ± 0.58, respectively. There was a statistically significant difference between the health perception scale in total, importance of health, and self-awareness scores between the two groups. At the same time, there was no difference in terms of the control center and precision scores (p∗ = 0.029, p∗ = 0.030, p∗ = 0.028, p = 0.460, p = 0.951). Conclusion Patients’ and their families’ educational status, income levels and lack of follow-up by healthcare professionals play an important role in forgotten DJS cases and patients’ perception of health may also have an impact on this behavior.
Ogras et al. (2024) Health perceptions of patients with forgotten double-J stent. PeerJ 12:e18156 https://doi.org/10.7717/peerj.18156
Effects of video game immersion and task interference on cognitive performance: a study on immediate and delayed recall and recognition accuracy
This study investigates the cognitive impacts of video game immersion and task interference on immediate and delayed recall as well as recognition tasks. We enrolled 160 subjects aged 18 to 29, who were regular players of “shoot-em-up” video games for at least 3 years. Participants were assigned to one of three experimental groups or a control group. The experimental conditions varied in the timing and type of tasks: the first group performed a video game session between recall tasks, the second group multitasked with video games and recall tasks simultaneously, and the third group engaged in task switching from video games to recall tasks. Using the Rey Auditory Verbal Learning Test, we measured the effects of these conditions on cognitive performance, focusing on error types and recall accuracy. Results indicated that multitasking and task switching significantly affected the subjects’ performance, with notable decrements in recall and recognition accuracy in conditions of high task interference. The study highlights the cognitive costs associated with multitasking in immersive digital games and provides insights into how task similarity and interference might increase error rates and affect memory performance.
Mancone et al. (2024) Effects of video game immersion and task interference on cognitive performance: a study on immediate and delayed recall and recognition accuracy. PeerJ 12:e18195 https://doi.org/10.7717/peerj.18195
Integrating whole genome sequencing and machine learning for predicting antimicrobial resistance in critical pathogens: a systematic review of antimicrobial susceptibility tests
Background Infections caused by antibiotic-resistant bacteria pose a major challenge to modern healthcare. This systematic review evaluates the efficacy of machine learning (ML) approaches in predicting antimicrobial resistance (AMR) in critical pathogens (CP), considering Whole Genome Sequencing (WGS) and antimicrobial susceptibility testing (AST). Methods The search covered databases including PubMed/MEDLINE, EMBASE, Web of Science, SCOPUS, and SCIELO, from their inception until June 2024. The review protocol was officially registered on PROSPERO (CRD42024543099). Results The review included 26 papers, analyzing data from 104,141 microbial samples. Random Forest (RF), XGBoost, and logistic regression (LR) emerged as the top-performing models, with mean Area Under the Receiver Operating Characteristic (AUC) values of 0.89, 0.87, and 0.87, respectively. RF showed superior performance with AUC values ranging from 0.66 to 0.97, while XGBoost and LR showed similar performance with AUC values ranging from 0.83 to 0.91 and 0.76 to 0.96, respectively. Most studies indicate that integrating WGS and AST data into ML models enhances predictive performance, improves antibiotic stewardship, and provides valuable clinical decision support. ML shows significant promise for predicting AMR by integrating WGS and AST data in CP. Standardized guidelines are needed to ensure consistency in future research.
Ardila et al. (2024) Integrating whole genome sequencing and machine learning for predicting antimicrobial resistance in critical pathogens: a systematic review of antimicrobial susceptibility tests. PeerJ 12:e18213 https://doi.org/10.7717/peerj.18213
Pdk3’s role in RANKL-induced osteoclast differentiation: insights from a bone marrow macrophage model
Background Osteoporosis (OP) is a chronic disease characterized by decreased bone mass, loss of skeletal structural integrity and increased susceptibility to fracture. Available studies have shown that the pyruvate dehydrogenase kinase (PDK) family is associated with osteoclastogenesis and bone loss, but the specific role of Pdk3 in bone pathology has not been systematically investigated. Methods A cell OP model was established in receptor activator for nuclear factor-κB Ligand (RANKL)-induced bone marrow macrophages (BMMs). Hereafter, the expression levels of Pdk3 and osteoclastogenesis feature genes including nuclear factor of activated T cells 1 (Nfatc1), Cathepsin K (Ctsk), osteoclast associated Ig-like receptor (Oscar) in BMMs-derived osteoclasts were examined based on real-time quantitative PCR and western blotting methods. Further, the phosphorylation of ERK, P65 and JAK/STAT and their correlation was Pdk3 was gauged. In particular, changes in the activity of these signaling pathways were observed by silencing experiments of the Pdk3 gene (using small interfering RNA). Finally, the effects of Pdk3 gene silencing on signaling pathway activity, osteoclastogenesis, and related inflammatory and apoptotic indicators were observed by transfection with PDK3-specific siRNA. Results Following RANKL exposure, the levels of Pdk3 and osteoclastogenesis feature genes were all elevated, and a positive correlation between Pdk3 and osteoclastogenesis feature genes was seen. Meanwhile, ERK, P65 and JAK/STAT phosphorylation was increased by RANKL, and Pdk3 was confirmed to be positively correlated with the phosphorylation of ERK, P65 and JAK/STAT. Additionally, in RANKL-exposed osteoclasts, Pdk3 knockdown diminished the phosphorylation of ERK, P65 and JAK/STAT, reduced the expressions of osteoclastogenesis feature genes. Importantly, knockdown of Pdk3 also reduced the expression of inflammatory cytokines and resulted in elevated levels of Bax and Casp3 expression, as well as downregulation of Bcl2 expression. Conclusion This study reveals for the first time the role of Pdk3 in RANKL-induced osteoclastogenesis and OP. These findings provide a foundation for future studies on the role of Pdk3 in other bone diseases and provide new ideas for the development of OP therapeutics targeting Pdk3.
Zhang et al. (2024) Pdk3’s role in RANKL-induced osteoclast differentiation: insights from a bone marrow macrophage model. PeerJ 12:e18222 https://doi.org/10.7717/peerj.18222
The impact of three thioxothiazolidin compounds on trehalase activity and development of Spodoptera frugiperda larvae
Trehalases (TREs), serving as crucial enzymes regulating trehalose and chitin metabolism in insects, represent prime targets for pest control strategies. We investigated the impact of three thioxothiazolidin compounds (1G, 2G, and 11G) on TRE activity and summarized their effects on the growth and development of Spodoptera frugiperda (Lepidoptera, Noctuidae). The experimental larvae of S. frugiperda were injected with the three thioxothiazolidin compounds (1G, 2G, and 11G), while the control group received an equivalent volume of 2% DMSO as a control. All three compounds had a strong effect on inhibiting TRE activity, significantly prolonging the pre-pupal development stage. However, compared with the 11G-treated group, the survival rate of larvae treated with 1G and 2G was significantly reduced by 31.11% and 27.78% respectively, while the occurrence of phenotypic abnormalities related to growth and development was higher. These results manifest that only the TRE inhibitors, 1G and 2G, modulate trehalose and chitin metabolism pathways of larvae, ultimately resulting in the failure molting and reduction of survival rates. Consequently, the thioxothiazolidin compounds, 1G and 2G, hold potential as environmentally friendly insecticides.
Wu et al. (2024) The impact of three thioxothiazolidin compounds on trehalase activity and development of Spodoptera frugiperda larvae. PeerJ 12:e18233 https://doi.org/10.7717/peerj.18233