Developmental outcomes of very preterm children with high parental education level

2019 ◽  
Vol 133 ◽  
pp. 11-17 ◽  
Author(s):  
Carolien A. van Houdt ◽  
Aleid G. van Wassenaer-Leemhuis ◽  
Jaap Oosterlaan ◽  
Anton H. van Kaam ◽  
Cornelieke S.H. Aarnoudse-Moens
2012 ◽  
Vol 40 (2) ◽  
pp. 415-437 ◽  
Author(s):  
FRENETTE SOUTHWOOD

ABSTRACTThe aims of the study were to establish whether there is a correlation between the socioeconomic background of Afrikaans-speaking children and their performance on a dialect-neutral language test, and to ascertain whether the allowance the test currently makes for parental education level is sufficient. The Afrikaans version of the DiagnosticEvaluation ofLanguageVariation(Seymour, Roeper & de Villiers, 2005a) was administered to 231 Afrikaans-speaking children age 4 ; 0 to 9 ; 11 from various socioeconomic backgrounds. A positive correlation was found between the composite language scores as well as the scores for each of the language domains (syntax, pragmatics, semantics) and the primary female caregivers' highest level of education. Children with father figures present did not outperform those without. It appears that the original manner of accommodating parental education level in interpreting the children's language scores on the test is sufficient and need not be refined for the South African context.


2018 ◽  
Vol 46 (21_suppl) ◽  
pp. 12-20 ◽  
Author(s):  
Per Morten Fredriksen ◽  
Angelica Skår ◽  
Asgeir Mamen

Aims: With overweight and obesity increasing worldwide, it has become ever more important to monitor the development and distribution of adiposity in children. This study investigated how the measurements of waist circumference (WC) and waist-to-height ratio (WHtR) in children 6–12 years old relate to earlier studies. Methods: In 2015, 2271 children (boys, n = 1150) were measured for height, weight, and WC. Parental education level was used as a measure of socioeconomic status. Results: A significant increase in WC with age was revealed for both sexes ( p < .0001). Boys at 10 and 12 years had a larger WC than girls; otherwise no difference between sexes was found. The WHtR decreased with age for girls ( p < .0001); 14% of the sample displayed a WHtR ≥ 0.50. Comparison with earlier studies showed a higher WC and WHtR despite no change in weight and body mass index. Conclusion: WC and WHtR are recommended as tools for identifying central obesity in children. The results indicate increased WC in 6–12-year-old children compared with earlier findings.


2012 ◽  
Vol 19 (4) ◽  
pp. 262 ◽  
Author(s):  
Ja Hye Ahn ◽  
Young Hwa Jung ◽  
Seung Han Shin ◽  
Juyoung Lee ◽  
Jin A Sohn ◽  
...  

2010 ◽  
Vol 68 ◽  
pp. 229-230
Author(s):  
E S Potharst-Sirag ◽  
A Van Wassenaer ◽  
B A Houtzager ◽  
J W P Van Hus ◽  
B F Last ◽  
...  

2021 ◽  
Author(s):  
Jiyan ASLAN CEYLAN ◽  
YUSUF ASLAN ◽  
AYSE OZFER OZCELİK

Abstract Background Dental caries is the most common progressive chronic disease in school-age children with an increasing prevalence as children grow up. This study aims to examine the effects of socioeconomic status, parental education level, oral and dental health practices, dietary habits and anthropometric measurements on dental health in 12-year-old schoolchildren. Methods The sample of the study consisted of 254 children (44.1% boys and 55.9% girls) in three schools, which were identified as low, moderate and high socioeconomic status. Results It was found that 70.9% of the children have dental caries on their permanent teeth. The frequency of seeing a dentist, the status of receiving oral and dental health education and the frequency of changing toothbrush vary according to the socioeconomic status. Oral and dental health indicators were determined to be affected by the frequency and duration of tooth brushing. It was found that dmft values of the children consuming molasses and table sugar are higher. There is a negative correlation between oral and dental health indicators and anthropometric measurements and parental education level. Conclusions Dietary habits, anthropometric measurements, oral and dental health practices, gender, and parental socioeconomic status and education level were shown to be effective on caries risk.


2021 ◽  
Vol 38 ◽  
Author(s):  
Filomena COVAS ◽  
Feliciano Henriques VEIGA

Abstract Within the scope of socio-cognitive theories, student engagement in school has been studied as a multidimensional construct. A four-dimensional perspective was adopted, with the dimensions: affective, cognitive, behavioural and agentic. The objective, to analyse how the variables age and parental education relate to student engagement in school. The sample consisted of 715 Portuguese public Higher Education students from the Lisbon area. The data was collected through an online survey, which included the Student Engagement in School: a Four-Dimensional Scale – Higher Education Version. Data analysis not only revealed that students of age 26 or older scored considerably higher results in engagement than younger colleagues, but also highlighted significant differences of engagement in the affective, behavioural and agentic dimensions, depending on parental education. The results, while partially corroborating the revised literature, suggest future in-depth studies.


2018 ◽  
Vol 48 ◽  
pp. 01057
Author(s):  
Elif Karagün ◽  
Zekiye Dilay Ekiz ◽  
Müge Sarper Kahveci

The purpose of this study is to investigate the digital addiction levels of the students studying at the Faculty of Sports of Kocaeli University in terms of variables such as their gender, age, school type, parental education level, income status, class level and success level. To this end, following the permission from the faculty administration, the Digital Addiction Scale, developed by Arslan, Kırık, Karaman and Çetinkaya (2015), was administered to a random sample of voluntary students. Data was analyzed by using the SPSS version 25.0. The results showed that digital addiction levels of the students in terms of their gender, age, school type, income level, parental education level, class level and success level were not significant; however, significant differences were found in favor of those who played sports only in class regarding playing sports, and those who attended the evening education regarding type of education programs.


1999 ◽  
Vol 70 (5) ◽  
pp. 1151-1162 ◽  
Author(s):  
David C. Rowe ◽  
Kristen C. Jacobson ◽  
Edwin J. C. G. Van den Oord

Children ◽  
2021 ◽  
Vol 8 (6) ◽  
pp. 516
Author(s):  
Inés M. Muñoz-Galiano ◽  
Jonathan D. Connor ◽  
Miguel A. Gómez-Ruano ◽  
Gema Torres-Luque

The aim of this study was to identify different profiles of physical activity (PA) behaviors according to the school student’s age stage and their parents’ or guardians education level. Seven hundred twenty-seven students and parents of different educational stages were invited to take part in this study. The participants included, Preschool (1 to 5 years old), Primary School (6 to 11 years old), Secondary School (12 to 15 years old), and High School (16 to 18 years old). A questionnaire to assess the educational level of parents (low, intermediate, and high) and their child’s PA level and sedentary behaviors across various age stages was administered. The results showed a number of different physical activity profiles for preschool (4), primary (6), secondary (7) and high school (2) students. Primary and secondary school children’s behavioral profiles were reported to differ significantly between both physical activity levels and sedentary behaviors, while preschool students’ behavioral profiles only differed between sedentary behaviors. Higher parental education was most prevalent in clusters with significantly higher levels of PA in primary and secondary students, while there were equivocal trends for parental education level influencing behavioral profiles of high school students. These findings suggest there is some association between the behavioral profiles of student’s physical activity and sedentary behavior, and parental education level, most noticeably during the early to middle age stages.


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