Sleep and its relation to health-related quality of life in 3–10-year-old children

Background Considering the reports of increasing sleep problems in children, affecting health and well-being in young children and their families, we found it important to gain more knowledge about sleep and its correlation to health-related quality of life (HRQoL) in young, healthy children. The aims with this study were to describe sleep quality, sleep duration, and HRQoL in healthy 3–10-year-old children and to test associations between children’s sleep and HRQoL. Methods Parents of 160 children (average age: 6.9 years, SD ±2.2) participated in the study. Sleep onset problems (SOP), sleep maintenance problems (SMP), and sleep duration were measured by the Pediatric Insomnia Severity Index (PISI). KIDSCREEN-27 was used to measure HRQoL in five dimensions: physical well-being, psychological well-being, autonomy and parent relation, social support and peers, and school environment. Results The average score was 2.2 for SOP (SD +/− 2.2) and 1.3 for SMP (SD +/− 1.6). Few children (2%) were reported to sleep less than 8 h per night. Younger children had statistically significant higher SOP and SMP than older children. Correlations were found between SOP and poor psychological well-being (p < 0.05, ρ = − 0.16), and between SMP and poor physical wellbeing (p < 0.05, ρ = − 0.16), psychological well-being (p < 0.05, ρ = − 0.21), poor school environment (p < 0.01, ρ = − 0.29), autonomy and parent relation (p < 0.05, ρ = − 0.16), and poor social support and peers (p < 0.05, ρ = − 0.19). Conclusion Children’s sleep associates with health-related quality of life and needs to be acknowledged in child health care settings and schools.

Sleep and Its Relation to Health-Related Quality of Life in 3–10-year-old Children

Background: Considering the reports of increasing sleep problems in children, affecting health and well-being in young children and their families, we found it important to gain more knowledge about sleep and its correlation to health-related quality of life (HRQoL) in young, healthy children. The aims with this study were to describe sleep quality, sleep duration, and HRQoL in healthy 3–10-year-old children and to test associations between children’s sleep and HRQoL. Methods: Parents of 160 children (average age: 6.9 years, SD ±2.2) participated in the study. Sleep onset problems (SOP), sleep maintenance problems (SMP), and sleep duration were measured by the Pediatric Insomnia Severity Index (PISI). KIDSCREEN-27 was used to measure HRQoL in five dimensions: physical well-being, psychological well-being, autonomy and parent relation, social support and peers, and school environment. Results: The average score was 2.2 for SOP (SD +/-2.2) and 1.3 for SMP (SD +/-1.6). Few children (2%) were reported to sleep less than eight hours per night. Younger children had statistically significant higher SOP and SMP than older children. Correlations were found between SOP and poor psychological well-being (p < 0.05, ρ = - 0.16), and between SMP and poor physical wellbeing (p < 0.05, ρ = -0.16), psychological well-being (p < 0.05, ρ = - 0.21), poor school environment (p < 0.01, ρ = - 0.29), autonomy and parent relation (p < 0.05, ρ = - 0.16), and poor social support and peers (p < 0.05, ρ = - 0.19).Conclusion: Children’s sleep associates with health-related quality of life and needs to be acknowledged in child health care settings and schools.

Sleep and Its Relation to Health-Related Quality of Life in 3–10-year-old Children

Background: Considering the reports of increasing sleep problems in children, affecting health and well-being in young children and their families, we found it important to gain more knowledge about sleep and its correlation to health-related quality of life (HRQoL) in young, healthy children. The aims with this study were to describe sleep quality, sleep duration, and HRQoL in healthy 3–10-year-old children and to test associations between children’s sleep and HRQoL. Methods: Parents of 160 children (average age: 6.9 years, SD ±2.2) participated in the study. Sleep onset problems (SOP), sleep maintenance problems (SMP), and sleep duration were measured by the Pediatric Insomnia Severity Index (PISI). KIDSCREEN-27 was used to measure HRQoL in five dimensions: physical well-being, psychological well-being, autonomy and parent relation, social support and peers, and school environment. Results: The average score was 2.2 for SOP (SD +/-2.2) and 1.3 for SMP (SD +/-1.6). Few children (2%) were reported to sleep less than eight hours per night. Younger children had statistically significant higher SOP and SMP than older children. Correlations were found between SOP and poor psychological well-being (p < 0.05, ρ = - 0.16), and between SMP and poor physical wellbeing (p < 0.05, ρ = -0.16), psychological well-being (p < 0.05, ρ = - 0.21), poor school environment (p < 0.01, ρ = - 0.29), autonomy and parent relation (p < 0.05, ρ = - 0.16), and poor social support and peers (p < 0.05, ρ = - 0.19).Conclusion: Children’s sleep associates with health-related quality of life and needs to be acknowledged in child health care settings and schools.

Implementation of Early Childhood Care and Education Curriculum 2017: A Case Study of Pakistani Public Schools

The study was determined to find the teachers' practices in the implementation of the ECCE curriculum in public schools. The objective of the study was to find out the teachers' practices in the implementation of the ECCE curriculum in public schools. All the ECCE teachers in public schools formed the population of the study. The 20 teachers were observed through the purposive sampling technique. The data was collected by using the ECCE teachers' practices observation protocol in the implementation of the ECCE curriculum. The qualitative data was analyzed through thematic analysis. The data represents that the teachers' practices in ECCE are knowledge, learning environment, instructional strategies, assessment, individualized attention and teacher-parent relation. It is recommended that the ECCE centres may be built-in university campuses for the facilitation of the teaching practices of their prospective teacher. The government may take the initiative to build ECCE centres in collaboration with the private sector to enhance the quality.

Optimasi Naive Bayes Menggunakan Algoritma Genetika Sebagai Seleksi Fitur Untuk Memprediksi Performa Siswa

In this globalisation era, the morality tenegers decrease.This fenomena can be seen on mass or electronic media. Mass or electronic media inform that the negatif case often happend on teenegers community. Negatif case such as brawl, drug, gambling, rape, disobidience to parents, and others. The cause of negatif case is not from himself or hisself but it is triggered by bad customs. The less of parent attention, the low of parent relation quality can inflict bad customs from children. Parent education, parent job, the parent support of education can influence children mainset. How long time children study, how long time children have sparetime, how long time children make friend, and how long time children acess internet can influence mainset of children. The customs of children explained on sentences before, can be measured by science and tecnology. Data Mining that is branch of computer science can measure how much quality children or adult perform based on custom framer indicator. In the last research of student performance using Naive Bayes Methode, the number of attribute is too much (33 attribut) and the score of accuracy is 91.15 %. In this research, the researcher optimize attributes of the last research using Genetic Algorithm. Genetic Algorithm can choose relevant attribut. The choice of relevant attributes can increase score of accuracy. The score of accuracy after using Genetic Algorithm is 97.21 %.

Children and adolescents with cerebral palsy have reliable knowledge about their own condition - Self- and parent reported quality of life

Background: to assess health related quality of life (HRQoL) of children (8–12 years) and adolescents (13–18 years) with cerebral palsy (CP) and to compare it with age-matched healthy control children from the general population (GP). Methods: prospective cohort study. HRQoL was self-reported by KIDSCREEN questionnaires. 99 families with children with CP and 237 children from the GP and their parents were enrolled. Collected data were evaluated and compared to each other across all dimensions of KIDSCREEN: European values compared to our GP’ groups, scores of children with CP and of their parents with general population groups (both children and parents); parents’ reports with childrens’,child and adolescent reports, age, sex, special features of CP on HRQoL. Results: patients with CP and their parents rated their HRQoL as poorer than their GP counterparts did, except for the parent relation/home life and social support/peers dimensions. Reports given by children and their parents were correlated. Children and adolescents had similar scores. Assessments of children and their parents were in a medium-strong positive relationship regarding psychological well-being, moods/emotions, self-perception, autonomy, parent relation/home life dimensions (0.552