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Recent national reports have indicated an increasing trend of dental decay among school-aged children. National school-based data are required to guide decision-making to ensure effective public health efforts to manage dental decay. This study aimed to assess the prevalence of dental decay among school-age children in Saudi Arabia and explore the possible link between dental decay and weight status. This was a cross-sectional analysis of a national sample including 1,134,317 Saudi children in the 1st, 4th, 7th, and 10th grades who participated in a national school screening program. Data for weight, height, body mass index (BMI), dental decay prevalence, and decayed, missing, and filled teeth (DMFT) index were analysed. An independent t-test, one-way analysis of variance, and chi-square test were used to compare the means, while Pearson's r correlation and multiple linear regression were used to examine the relationships between the study variables. The prevalence of dental decay was 24.20%, and dental decay was the highest among female students (26.5%), students in primary school (25.9%), students living in the eastern region (35.2%), in the administrative capital (27.6%), and in rural areas (23.4%). Dental decay was the highest among students who were underweight. Female sex and living in rural areas significantly predicted higher DMFT while being overweight/obese significantly predicted lower DMFT. Dental decay is highly prevalent among underweight students, female students, and students living in rural areas and the eastern regions of Saudi Arabia. To reduce the prevalence of dental decay and related health disparities, dental health screening programs should be designed to detect dental decay early among children at high risk due to abnormal BMIs and sociodemographic factors. In addition, dental health screening and management programs should utilize standardized dental decay assessment methods and ethnically representative growth charts.
RESUMO
Background: Recent reports indicated an increasing prevalence of obesity among children and adolescents in Saudi Arabia, making it an impending national epidemic. However, obesity prevalence data in children and adolescents in Saudi Arabia are largely inconsistent. Objectives: This study analyzed and compared the prevalence of obesity among a national sample of children and adolescents across sexes, school grades, regions, and city types in Saudi Arabia using the Growth Charts for Saudi Children and Adolescents. Methods: Weight, height, and body mass index (BMI) data from 1 134 317 children in first, fourth, seventh, and tenth school grades who participated in the national school screening program were analyzed cross-sectionally. BMI values were classified using the Growth Charts for Saudi Children and Adolescents. Results: Nearly 10.4% of students were overweight, 10.7 % were obese, and 4.50% were severely obese. Male students had a higher prevalence of overweight and obesity than their female counterparts. The prevalence of overweight and obesity was the highest among students in intermediate school, the Central region, and administrative capitals. Conclusion: Managing childhood obesity is challenging due to its multifaceted nature Therefore, utilizing clinical and community-based participatory approaches is essential to develop nationwide obesity prevention and management program that is effective and sustainable. This program must utilize dynamic BMI surveillance systems using ethnically representative growth references, conduct national pediatric obesity research with careful consideration for demographic and regional differences, lead targeted pediatric obesity awareness campaigns, provide obesity management interventions in a pediatric multi-disciplinary clinic, and evaluate the program outcomes periodically.
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The magnitude of post-COVID-19 syndrome was not thoroughly investigated. This study evaluated the quality of life and persistence of fatigue and physical symptoms of individuals post-COVID-19 compared with noninfected controls. The study included 965 participants; 400 had previous COVID-19 disease and 565 controls without COVID-19. The questionnaire collected data on comorbidities, COVID-19 vaccination, general health questions, and physical symptoms, in addition to validated measures of quality of life (SF-36 scale), fatigue (fatigue severity scale, FSS), and dyspnea grade. COVID-19 participants complained more frequently of weakness, muscle pain, respiratory symptoms, voice disorders, imbalance, taste and smell loss, and menstrual problems compared to the controls. Joint symptoms, tingling, numbness, hypo/hypertension, sexual dysfunction, headache, bowel, urinary, cardiac, and visual symptoms did not differ between groups. Dyspnea grade II-IV did not differ significantly between groups (p = 0.116). COVID-19 patients scored lower on the SF-36 domains of role physical (p = 0.045), vitality (p < 0.001), reported health changes (p < 0.001), and mental-components summary (p = 0.014). FSS scores were significantly higher in COVID-19 participants (3 (1.8-4.3) vs. 2.6 (1.4-4); p < 0.001). COVID-19 effects could persist beyond the acute infection phase. These effects include changes in quality of life, fatigue, and persistence of physical symptoms.
RESUMO
BACKGROUND: We aimed to examine the effect of the COVID-19 pandemic and associated mitigation measures on sleep quality and psychological distress in Saudi Arabia. METHODS: Subjective sleep quality over the preceding 30 days was measured using the Pittsburgh Sleep Quality Index (PSQI). In addition, Kessler Psychological Distress Scale (K10) was used to assess the psychological distress. RESULTS: The study included 836 participants. The median age was 28 years, 624 (74.64%) were females, and 158 (18.90%) were healthcare workers. Factors associated with poor sleep were recent changes in the sleep habits p = 0.004), anxiety or fear because of coronavirus news on social media p = 0.02), fear because there was no approved drug to treat COVID-19 p = 0.03), and unaware of the presence of chronic diseases p = 0.03). Female gender p = 0.02), fear or anxiety because of coronavirus news on social media p = 0.04), recent change in sleep habits (OR: 1.97 (1.15-3.39); p = 0.01), fear because there is no approved drug to treat COVID-19 p = 0.001), monthly income <1000 SR p = 0.01), and isolation p = 0.01) were associated with distress. PSQI and K10 scores were significantly correlated p < 0.001). CONCLUSION: Poor sleep and psychological distress are common during the COVID-19 outbreak in Saudi Arabia. Identifying factors associated with poor sleep and psychological distress would help develop specific intervention programs that enhance mental health and sleep quality during pandemics.