Search Results (644)

Introduction: Prior research underscores self-esteem as a core determinant of life satisfaction and overall well-being. However, few studies have examined this relationship within the unique sociocultural context of Saudi Arabia. This study assesses the relationship between self-esteem and life satisfaction in adolescents, as well as the potential moderating effects of demographic factors. Methods: A cross-sectional study was conducted involving 502 adolescents aged 13–18, selected from urban and rural regions of Saudi Arabia. Participants completed the Rosenberg Self-Esteem Scale and the Satisfaction with Life Scale. Data were collected via online survey platforms. Descriptive statistics, correlation analyses, chi-square tests, and multivariate logistic regressions were performed using SPSS version 26. Ethical approval was obtained, and informed consent was secured from all participants. Results: A significant positive correlation was found between life satisfaction and self-esteem scores (r = 0.37, p < 0.001). Adolescents reporting dissatisfaction with life had over seven times greater odds of low self-esteem (OR = 7.2; 95% CI: 3.75–13.83). Higher life satisfaction was associated with being in secondary education, having a family income of 10,000 Saudi Riyal (SR) or more, and living with both parents. Additionally, prior contact with a psychologist was linked to lower self-esteem and reduced life satisfaction. Conclusions: Findings confirm self-esteem as a strong predictor of life satisfaction among Saudi adolescents. Socioeconomic status, family structure, and previous psychological consultation also influenced outcomes. These results emphasize the critical need for culturally sensitive mental health interventions tailored to the Saudi context. Furthermore, they highlight the importance of implementing early mental health screening and support programs within schools to provide accessible and preventive care for youth. Full article

Prosocial behavior—children’s capacity to empathize, share, and cooperate—is essential for healthy emotional and social development. While family context plays a critical role in fostering these behaviors, the influence of overall family functioning remains underexplored. This study examines the association between perceived family functioning and prosocial behavior in school-aged children. A cross-sectional design was employed with a sample of 127 parents of children aged 6 to 12 years. Family functioning was assessed using the General Functioning Subscale of the McMaster Family Assessment Device (FAD), and child prosocial behavior was measured via the parent-reported Strengths and Difficulties Questionnaire (SDQ). Analyses included Pearson correlations, linear regression, and group comparisons by gender, education, employment status, and subjective socioeconomic status. Higher family functioning (i.e., lower FAD scores) significantly predicted higher prosocial behavior scores (β = −1.48, R² = 0.12, p < 0.001). A significant difference in prosocial behavior was found between socioeconomic groups, with children from high-income families scoring significantly higher than those from middle-income families. However, family functioning accounted for a greater proportion of the variance than socioeconomic status. These findings underscore the role of family relational quality in shaping children’s social development and highlight its importance in early interventions. Full article

Background: Concerns over women’s mental health have intensified globally, especially among mothers managing dual careers and family responsibilities. Positive Psychology Interventions (PPIs), such as gratitude journaling and well-being workshops, have demonstrated promise in enhancing mental health; however, their applicability in Arab contexts remains underexplored. This study aims to investigate the effectiveness of PPIs on mothers’ well-being, gratitude, depression, anxiety, and stress in Saudi Arabia. Methods: This quasi-experimental, one-group pretest–posttest study assessed the effects of a four-week PPI on 37 Saudi working mothers (aged 21–50 years) employed at a private school in Riyadh. The intervention included guided gratitude journaling thrice weekly and two workshops on positive psychology and gratitude. Pre- and post-intervention assessments used validated Arabic versions of the Depression Anxiety Stress Scale (DASS-21), WHO-5 Well-being Index, and Gratitude Questionnaire (GQ-6). Results: Significant improvements were found post-intervention: depression, anxiety, and stress scores decreased (p < 0.001), while well-being and gratitude increased (p = 0.001). However, participants with lower household income (<50,000 SAR) showed less improvement, indicating a potential moderating effect of socioeconomic status. Conclusions: The intervention demonstrated promising short-term improvements in mental health and well-being among Saudi mothers. The findings underscore the importance of culturally appropriate PPIs and highlight the need for further research using controlled, long-term designs. Limitations include the small, non-random sample, absence of a control group, and restriction to a single geographic region. Full article

Introduction: Cystic fibrosis (CF) is a genetic condition affecting several organs and systems, including the pancreas, colon, respiratory system, and reproductive system. The detection of a growing number of CFTR variants and genotypes has contributed to an increase in the CF population which, in turn, has had an impact on the overall statistics regarding the prognosis and outcome of the condition. Given the increase in life expectancy, it is critical to better predict outcomes and prognosticate in CF. Thus, each person’s choice to aggressively treat specific disease components can be more appropriate and tailored, further increasing survival. The objective of our narrative review is to summarize the most recent information concerning the value and significance of clinical parameters in predicting outcomes, such as gender, diabetes, liver and pancreatic status, lung function, radiography, bacteriology, and blood and sputum biomarkers of inflammation and disease, and how variations in these parameters affect prognosis from the prenatal stage to maturity. Materials and methods: A methodological search of the available data was performed with regard to prognostic factors in the evolution of CF in children and young adults. We evaluated articles from the PubMed academic search engine using the following search terms: prognostic factors AND children AND cystic fibrosis OR mucoviscidosis. Results: We found that it is crucial to customize CF patients’ care based on their unique clinical and biological parameters, genetics, and related comorbidities. Conclusions: The predictive significance of more dynamic clinical condition markers provides more realistic future objectives to center treatment and targets for each patient. Over the past ten years, improvements in care, diagnostics, and treatment have impacted the prognosis for CF. Although genotyping offers a way to categorize CF to direct research and treatment, it is crucial to understand that a variety of other factors, such as epigenetics, genetic modifiers, environmental factors, and socioeconomic status, can affect CF outcomes. The long-term management of this complicated multisystem condition has been made easier for patients, their families, and physicians by earlier and more accurate identification techniques, evidence-based research, and centralized expert multidisciplinary care. Full article

Background/Objectives: Psychosocial (PS) factors and cognitive dysfunction (CD) in patients with atrial fibrillation (AF) may negatively impact treatment compliance. The PS profile covers multiple psychological and socio-economic factors, although research is mostly limited to depression, anxiety, and work stress. This study assessed the prevalence of a broad range of PS factors in patients with AF and their relationship with cognitive decline. Methods: We retrospectively analyzed data from patients referred to a cardiovascular rehabilitation clinic between March 2017 and April 2023 who underwent standardized assessments of PS factors, cognition, and quality of life. Results: Of the 798 included patients, 230 (28.8%) had AF, with a mean age of 68.07 years (SD 9.60 years). Six of nine PS factors were present in more than half of the overall sample. Compared to non-AF patients, those with AF showed significantly higher levels of social isolation, depression, and hostility, whereas low socioeconomic status, family and work-related stress, and other mental disorders were more frequent in the non-AF group. CD was present in 67.4% of the total cohort and was more prevalent in AF patients with a higher PS burden. Patients with permanent AF reported the poorest health status. Conclusions: Integrating assessments of PS factors and cognition in cardiac rehabilitation is feasible and supports a more comprehensive, patient-centred model of care in AF. Full article

This study addresses fairness in machine learning for student academic performance prediction using the UCI Student Performance dataset. We comparatively evaluate logistic regression, Random Forest, and XGBoost, integrating the Synthetic Minority Oversampling Technique (SMOTE) to address class imbalance and 5-fold cross-validation for robust model training. A comprehensive fairness analysis is conducted, considering sensitive attributes such as gender, school type, and socioeconomic factors, including parental education (Medu and Fedu), cohabitation status (Pstatus), and family size (famsize). Using the AIF360 library, we compute the demographic parity difference (DP) and Equalized Odds Difference (EO) to assess model biases across diverse subgroups. Our results demonstrate that XGBoost achieves high predictive performance (accuracy: 0.789; F1 score: 0.803) while maintaining low bias for socioeconomic attributes, offering a balanced approach to fairness and performance. A sensitivity analysis of bias mitigation strategies further enhances the study, advancing equitable artificial intelligence in education by incorporating socially relevant factors. Full article

This study aimed to compare cognitive, language, and motor development outcomes among children attending public and private Early Childcare Centers (ECCs), considering birth factors and family and daycare environments. Additionally, it examined the proximal and distal factors influencing children’s development. Cognitive, language, and motor skills were assessed in the children, along with evaluations of ECC quality, teacher practices, and knowledge of child development. Results indicated that children enrolled in public ECCs achieved higher scores in cognitive and language development, despite coming from families with lower socioeconomic status and having lower birth weights. They also benefited from longer periods of breastfeeding. Teachers in public ECCs demonstrated greater daily practices, providing enhanced movement opportunities for children. Private ECCs offered more suitable outdoor spaces, whereas public ECCs had better indoor spaces. Regression analysis revealed that daily practice, teachers’ experience, and the availability of gross motor toys explained 41% of the variance in motor development. The duration of breastfeeding explained 24% of the variance in cognitive development. Teachers’ knowledge about children’s development and attendance at public ECCs explained 31% of the variance in language development. These findings underscore the importance of prioritizing teacher education in both public and private ECCs to optimize children’s overall development. Full article

This study investigates how differing educational frameworks across Lebanon, Turkey, and Australia influence the perceived educational performance of Syrian refugee children. The legal status granted to refugees in each country fundamentally shapes their respective education systems’ responses. In Lebanon, refugees are generally classified as temporarily displaced persons, resulting in an emergency-based approach to education for the approximately 500,000 Syrian children present. By contrast, Australia has offered permanent resettlement opportunities to selected Syrian refugees, integrating them directly into mainstream schools. Turkey, meanwhile, has progressively shifted from emergency-based measures to policies oriented toward long-term integration. This research is based on survey data from 1298 Syrian refugee children across the three contexts. Findings from ordered probit regression analyses indicate that, beyond the legal duration of residency and the prevailing educational policy model (emergency versus long-term integration), variables such as the extent of educational segregation, the availability of preparatory and language support programmes, and the socioeconomic status of families are also pivotal in shaping students’ self-perceived academic performance. Full article

Background/Objectives: Early childhood anemia is a severe public health concern and the most common blood disorder worldwide, especially in emerging countries. This study examines the sources of childhood anemia in Ghana through various societal, parental, and child characteristics. Methods: This research used data from the 2022 Ghana Demographic and Health Survey (GDHS-2022), which comprised 9353 children. Using STATA 13 and R 4.4.2 software, we analyzed maternal, social, and child factors using a model-building procedure, logistic regression analysis, and machine learning (ML) algorithms. The analyses comprised machine learning methods including decision trees, K-nearest neighbor (KNN), logistic regression, and random forest (RF). We used discrimination and calibration parameters to evaluate the performance of each machine learning algorithm. Results: Key predictors of childhood anemia are the father’s education, socioeconomic status, iron intake during pregnancy, the mother’s education, and the baby’s postnatal checkup within two months. With accuracy (94.74%), sensitivity (82.5%), specificity (50.78%), and AUC (86.62%), the random forest model was proven to be the most effective machine learning predictive model. The logistic regression model appeared second with accuracy (67.35%), sensitivity (76.16%), specificity (56.05%), and AUC (72.47%). Conclusions: Machine learning can accurately predict childhood anemia based on child and paternal characteristics. Focused interventions to enhance maternal health, parental education, and family economic status could reduce the prevalence of early childhood anemia and improve long-term pediatric health in Ghana. Early intervention and identifying high-risk youngsters may be made easier with the application of machine learning techniques, which will eventually lead to a healthier generation in the future. Full article

Background: A national study from China in 2023 predicted that the prevalence of overweight and obesity among children aged 7–18 will increase from 23.4% in 2019 to 32.7% by 2030. Objectives: This study aimed to investigate the longitudinal association between parental feeding practices and children’s body composition and weight status, and to assess the mediation effect of parental feeding practices in the relationship between socioeconomic status and childhood body composition. Methods: This longitudinal observational study was conducted between September and November 2021 in eight primary schools located in Luohu District, Shenzhen. Baseline and two follow-up surveys were administered annually during the same period from 2021 to 2023 (with one-year intervals). A total of 620 third-grade students (aged 8–10 years at baseline) and their parents were ultimately included in the study. Associations between parental feeding practices and children’s weight status and body composition were analyzed using mixed-effects models. The mediation effect of parental feeding practices on the relationship between socioeconomic status and childhood body composition was assessed through bootstrapping analysis. Results: At follow-up, a significant upward trend in the prevalence of central obesity among children was observed. Among all parental feeding dimensions, perceived child weight (PCW) demonstrated a strong association with central obesity after Bonferroni correction (OR = 1.33, 95% CI = 1.16, 1.51); similarly, monitoring (MN) and concern about child weight (CN) were both significantly associated with central obesity as risk factors for central obesity (OR = 1.14, 95% CI = 1.06, 1.23; OR = 1.16, 95% CI = 1.07, 1.27), both p < 0.001. These associations were modified by baseline child sex, parental BMI, and maternal and paternal education levels. However, restriction (RST) was not significantly associated with either body composition or weight status. The relationship between family socioeconomic status (SES) and childhood overweight and obesity was mediated by pressure to eat (PE) (p < 0.05). Conclusions: MN, PCW, and CN are associated with an increased risk of obesity in children. However, no significant association was found between parental feeding practices and changes in children’s body composition. Full article

Background: Adolescents with a chronological age of less than 15 years or a gynecological age of less than 2 years may have a higher probability of complications because they are more likely to conceive within 1 to 2 years of menarche and, therefore, are still growing and maturing. This could impair their ability to adapt to the physiological demands of pregnancy. Objective: To evaluate the relationship between chronological age and gynecological age with low birth weight and small for gestational age among adolescent mothers in Mexico City. Methods: A retrospective cohort design of adolescent mother–child dyads was conducted. The study followed 1242 adolescents under 19 years of age and their children, collecting data on physical, socioeconomic, and clinical characteristics, including hemoglobin levels. Low birth weight was assessed using the Intergrowth-21st project standards and categorized as above or below 2500 g. The mothers were grouped by chronological age (<15 years and ≥15 years) and gynecological age (<3 years and ≥3 years). Adjusted odds ratios were calculated using binary logistic regression models. The outcome variables were low birth weight and small for gestational age. The independent variables included gynecological age, chronological age, age at menarche, hemoglobin concentration, and gestational weight gain, among others. All independent variables were converted to dummy variables for analysis. Calculations were adjusted for the following variables: marital status, maternal education, occupation, educational lag, family structure, socioeconomic level, pre-pregnancy body mass index, and initiation of prenatal care. Results: The average age of the participants was 15.7 ± 1 years. The frequency of small for gestational age and low birth weight was 20% and 15.3%, respectively. Factors associated with small for gestational age included gynecological age < 3 years [aOR = 2.462, CI 95%; 1.081–5.605 (p = 0.032)], hemoglobin < 11.5 g/dL [aOR = 2.164, CI 95%; 1.08–605 (p = 0.019)], insufficient gestational weight gain [aOR = 1.858, CI 95%; 1.059–3.260 (p = 0.031)], preterm birth [aOR = 1.689, CI 95%; 1.133–2.519 p = 0.01], and living more than 50 km from the care center [aOR = 2.256, CI 95%; 1.263–4.031 (p = 0.006)]. An early age of menarche [aOR = 0.367, CI 95%; 0.182–0.744 (p = 0.005)] showed a protective effect against small for gestational age. Factors associated with low birth weight included gynecological age < 3 years [aOR = 3.799, CI 95%; 1.458–9.725 (p = 0.006)], maternal age < 15 years [aOR = 5.740, CI 95%; 1.343–26.369 (p = 0.019)], preterm birth [aOR = 54.401, CI 95%; 33.887–87.335, p = 0.001], living more than 50 km from the care center [aOR = 1.930, CI 95%; 1.053–3.536 (p = 0.033)], and early age of menarche [aOR = 0.382, CI 95%; 0.173–0.841 (p = 0.017), which demonstrated a protective effect, respectively. Conclusions: The study concludes that biological immaturity, particularly early gynecological age, significantly contributes to adverse birth outcomes during adolescent pregnancies. Interestingly, early menarche appeared to have a protective effect, whereas chronological age was not a significant predictor of small for gestational age. Chronological age has an even greater impact: women younger than 15 years are 5.7 times more likely to have low birth weight infants. However, chronological age did not increase the likelihood of having an SGA newborn. Full article

Ensuring equitable access to higher education (HE) is not only a matter of social justice, but also a critical component to enhancing the long-term sustainability of modern societies. This study contributes to existing knowledge on socio-economic disparities in HE participation in Australia by identifying the extent to which key factors at the family, school, and individual levels mediate the relationship between socio-economic status (SES) and university enrolment. In doing so, it extends existing knowledge by simultaneously considering multiple factors at each ecological level, which enables us to disentangle their independent and joint influences on the SES differential in HE enrolment. To accomplish this, we analysed longitudinal data from the 2009 cohort of the Longitudinal Survey of Australian Youth (LSAY) using event-history models. Our findings reveal that students from lower-SES backgrounds are significantly less likely to enrol in university than their higher-SES peers, with persistent barriers emerging across multiple levels of influence. Indeed, after adjusting for cognitive skills, HE expectations, parental support, school climate, and access to learning resources, the estimated SES effect on HE participation was reduced by 68.6%. By systematically disentangling the relative contributions of these factors, this study provides critical insights into how sustainable education policies can be designed to mitigate social inequalities and promote inclusive growth. Intervention areas are discussed accordingly. Full article

Background/Objectives: To explore the association between parental knowledge on dental caries prevention and the risk of caries in pediatric patients aged 6 to 14 years who reside in the province of Seville, using the CAMBRA preventive protocol as an assessment tool. Methods: After the approval granted by the Ethics Committee, a descriptive and analytical observational study was conducted. Caries risk was established using the CAMBRA Questionnaire, pH measurement, and salivary flow rate. To assess the socioeconomic background of the patients and their hygiene and dietary habits, parents completed two surveys: the first about the quality of the patient’s diet, and the second directly related to the CAMBRA questionnaire used and validated by the University of Seville. Results: The final study sample consisted of 300 pediatric patients, aged 6 to 14 years, of whom 54% were boys and 46% were girls. The caries risk distribution was as follows: 33% low, 7% moderate, 48.6% high, and 11.3%. A total of 61.7% of the participants live in urban areas, while 38.3% are from peri-urban regions. There is a statistically significant association between socioeconomic status and family circumstances in children with a risk of caries. Furthermore, an association was established between caries risk, dietary habits, and oral hygiene. Conclusions: Parental knowledge about dental caries prevention and caries risk in children was found to have a strong association with reduced caries risk in children. Full article

Background: The present study seeks to examine how social disparities relate to the prevalence of poor glycemic control (HbA1c ≥ 7%), comorbidities such as hypertension and dyslipidemia, and diabetes-related complications (microvascular or macrovascular) among Saudi patients diagnosed with type 2 diabetes. Methods: A cross-sectional study was conducted among 574 patients with type 2 diabetes mellitus (T2DM) attending family medicine clinics at King Saud University Medical City in Riyadh. Participants were selected using a simple random sampling technique and interviewed via phone using a validated questionnaire. Data collected included demographic and clinical variables. Descriptive statistics and multivariate logistic regression analyses were performed to assess the association between socioeconomic status (SES) and cardiovascular complications, including stroke, dyslipidemia, hypertension, and acute coronary syndrome. Result: The analysis revealed that certain socioeconomic factors significantly increased the odds of cardiovascular complications among patients with T2DM. Being female was associated with higher odds of hypertension (OR = 2.29, p = 0.014), dyslipidemia (OR = 2.59, p = 0.012), acute coronary syndrome (ACS) (OR = 2.35, p = 0.001), and stroke (OR = 2.17, p = 0.003). Divorced or widowed participants had significantly increased odds of ACS (OR = 2.91, p = 0.001) and stroke (OR = 2.83, p = 0.002). A lower educational level (secondary school or less) was significantly associated with increased odds of hypertension (OR = 2.64, p = 0.031), dyslipidemia (OR = 2.22, p = 0.005), and stroke (OR = 2.88, p = 0.042). Monthly income between 3001 and 6000 SAR was significantly associated with higher odds of ACS (OR = 2.61, p = 0.003) and stroke (OR = 2.64, p = 0.012). Participants with diabetes duration >15 years had higher odds of dyslipidemia (OR = 2.86, p = 0.004) and stroke (OR = 2.89, p = 0.005). Being retired or not working increased the odds of all four cardiovascular outcomes, with stroke showing the highest risk (OR = 3.18, p < 0.001). Living outside the Riyadh region was also associated with elevated risk across outcomes, notably stroke (OR = 1.52, p = 0.046). Conclusions: The study concluded that notable social disparities exist among diabetic individuals affected by cardiovascular conditions, such as stroke and acute coronary syndrome (ACS), as well as risk factors for cardiovascular disease like dyslipidemia (DLD). These findings can inform targeted cardiovascular risk reduction strategies and address health inequities among diabetic populations in Saudi Arabia. Full article

Participatory research with children presents a range of ethical challenges, particularly concerning power dynamics between adults and children in the research process. Factors such as the research setting, parental consent, the role of gatekeepers, interview dynamics, and the methods used can either facilitate or limit children’s participation. For migrant children and their families, specific issues like the language of communication, the materials developed for the study, socio-economic status, and migration-related vulnerabilities, such as sensitive experiences of (forced) migration, are especially important. This paper explores these ethical considerations through the lens of our research in the WoKidS project, which examines the subjective well-being of children (N = 84) aged 8 to 14, both with and without a migration background. The article is grounded in an ethical reflexivity approach, where multiple researchers involved in the study reflect on their experiences and practices while conducting research with (migrant) children. Full article