Association of individual and neighbourhood socioeconomic status with physical activity and screen time in seventh-grade boys and girls in Berlin, Germany: a cross-sectional study

Krist, Lilian; Bürger, Christin; Stroebele‐Benschop, Nanette; Roll, Stephanie; Lotz, Fabian; Rieckmann, Nina; Müller‐Nordhorn, Jacqueline; Willich, Stefan N.; Müller‐Riemenschneider, Falk

doi:10.1136/bmjopen-2017-017974

Cited by 20 publications

(27 citation statements)

References 68 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Slightly more knowledge exists of associations between social environment in the home setting and preschool children's screen time as an indicator of ST [21]; however, the correlates of screen time and overall ST seem to be distinct [22]. Another relevant aspect of social environment is socioeconomic status (SES) and its associations with children's behaviors [23]. Studies indicate associations between lower parental SES or lower neighborhood SES, and a higher risk of an unhealthier lifestyle and cardiovascular disease [24][25][26][27].…”

Section: Introductionmentioning

confidence: 99%

Individual-, home- and preschool-level correlates of preschool children’s sedentary time

et al. 2020

View full text Add to dashboard Cite

Background: Prechoolers' significant portions of sedentary time (ST) is a public-health concern due to its high prevalence and negative health consequences. However, few studies have explored correlates of preschoolers' ST covering individual-, home-and preschool-factors within one study. The aim of this study was to identify the associations between multiple individual-, home-and preschool-level factors and preschoolers' ST. In addition, it was studied how much individual-, home-and preschool-level factors explained the variance in children's ST. Methods: A total of 864 children aged three to six, their parents and 66 preschools participated in the crosssectional DAGIS study, which occurred between 2015 and 2016. The children wore an accelerometer for 1 week. Guardians, principals and early educators completed questionnaires covering the potential correlates of children's ST, for example, temperament, practices, self-efficacy and regulations. Multilevel regression analyses were conducted in multiple steps; calculation of marginal and conditional R 2 values occurred in the final phase. Results: Of the 29 studied correlates, the following factors remained significant in the final models. Being a boy (p < 0.001) and having high levels of surgency temperament (p < 0.001) were associated with lower ST. Regarding the home setting, frequent co-visits in physical activity (PA) places (p = 0.014) were associated with lower ST. Higher parental perceived barriers related to children's outside PA (p = 0.032) was associated with higher ST. None of the preschool setting factors remained significant in the final model. Approximately 11% of the variance in children's ST was attributed to factors related to the individual level whereas 5% was attributed to home-level factors; and 2% to preschool-level factors. Conclusions: This study identified a set of correlates of preschool children's ST. Interventions aimed at reducing children's ST should develop strategies targeting established correlates of preschoolers' ST covering individual-, home-and preschool-level factors. The preschool-level factors included in this study explained little the variance in children's ST. However, the included measures may not have captured the essential preschool-level factors that specifically influence children's ST. Therefore, more studies are needed regarding potential preschool-level factors.

show abstract

Section: Introductionmentioning

confidence: 99%

Individual-, home- and preschool-level correlates of preschool children’s sedentary time

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Data were collected at baseline, after 1 and 2 years during classes using self-report questionnaires that were developed on the basis of the standardised and validated questionnaires for adolescents, such as the ones used in the HBSC survey [34][35][36]. Details of the data assessment and a description of the variables were described previously [28,33].…”

Section: Data Collectionmentioning

confidence: 99%

“…What our study adds to these longitudinal data is the description of different trajectories for PA and ST. To our knowledge, this is the first German study investigating PA and ST trajectories and their predictors in school students. In addition to the longitudinal design, a novelty of our study is the size of the study sample and the location in a metropolitan area including a high percentage of students with migration background and different levels of socioeconomic status which have been shown to be representative of Berlin school students [28,50].…”

Section: Main Study Findings and Implicationsmentioning

confidence: 99%

“…While high socioeconomic status and high educational levels are mostly associated with high PA and low ST, migration background is more often associated with lower PA and higher ST [25,26]. Regarding school type, no longitudinal studies are available for Germany, but two cross-sectional studies report an association of lower school type with higher screen time behaviour (consumption of TV and computer/gaming consoles) [27,28].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Determinants of Physical Activity and Screen Time Trajectories in 7th to 9th Grade Adolescents—A Longitudinal Study

Krist

Roll

Stroebele‐Benschop

et al. 2020

IJERPH

Self Cite

View full text Add to dashboard Cite

Physical activity (PA) in youth tends to decline with increasing age, while sedentary behaviour including screen time (ST) increases. There are adolescents, however, whose PA and ST do not follow this pattern. The aim of this study is (i) to examine trajectories in PA and ST from grade 7–9 among students in Berlin, and (ii) to investigate the relationship of these trajectories with individual factors and school type. For the present analyses, changes in students’ PA and ST across three time points from 7th to 9th grade were assessed via self-report questionnaires. Positive and negative trajectories were defined for both PA (positive: increasing or consistently high, negative: decreasing or consistently low) and ST (vice versa). Multivariable logistic regression analyses were performed to identify possible predictors of PA and ST trajectories. In total, 2122 students were included (50.2% girls, mean age 12.5 (standard deviation 0.7) years). Compared to grade 7, less students of grade 9 fulfilled PA and ST recommendations (PA: 9.4% vs. 13.2%; ST: 19.4% vs. 25.0%). The positive PA trajectory included 44% of all students (63% boys), while the positive ST trajectory included 21% of all students (30% boys). Being a boy was significantly associated with a positive PA trajectory, while being a girl, having a high socioeconomic status, and attending a high school, were significantly associated with a positive ST trajectory. Different PA and ST trajectories among adolescents should be taken into account when implementing prevention programs for this target group.

show abstract

“…On the other hand, low income-more educated levels put more strategies to restrict exposure to electronics (10). In 2017, Krist et al (11) studied the association of SES with physical activity and ST. They concluded that, low SES was associated with high ST. On the other hand, Jamali et al in 2017 (12) found that, children who belonged to low SES had significantly low ST. Socioeconomic status affects the availability of electronic screens at home, attitude toward electronic screens, media habits like the age when children begin to be exposed to media, the amount of exposure to electronic screens and type of watched materials (9).…”

Section: Introductionmentioning

confidence: 99%

The Impact of Socioeconomic Status on Children’s Behavior/Dental Anxiety and Their Exposure to Media in Alexandria, Egypt (A Cross-Sectional Study)

Mobarek

Khalil

Talaat

2021

Alexandria Dental Journal

View full text Add to dashboard Cite

INTRODUCTION: The socioeconomic status (SES) of the family has a direct effect on children's media habits and exposure hours to media which could be a factor for development of behavior and anxiety problems among children. OBJECTIVES: The aim of this study was to assess the impact of SES on children's behavior management problems (BMP)/dental anxiety (DA) during dental treatment and their exposure to media in Alexandria, Egypt. MATERIALS AND METHODS: A group of 95 patients with age range from 5 to 8 years with simple carious primary molars enrolled in the study.Socioeconomic status was assessed using Fahmy and Elsherbini Scale and media habits were assessed by a questionnaire answered by the mother or the father during the first visit of each patient. After one week, dental procedure was done and behavior management problems/ dental anxiety were scored using Frankl Rating Scale and Clinical Anxiety Rating Scale respectively. RESULTS: There was no statistically significant relation between socioeconomic status, BMP/DA and exposure to media. However, BMP/DA was the highest at very low level, violent media exposure was the highest at middle level, exposure hours to media was the highest at both high and middle levels and finally, introduction to media exposure began at very young age range in high social level while it was at older age range in the very low social level in Alexandria, Egypt. CONCLUSION: Behavior management problems and DA were more associated with very low social level while total exposure hours to media was more associated with high and middle social levels in Egypt. However, there was no statistically significant relation between socioeconomic status, children's BMP/DA and their exposure to media.

show abstract

Association of individual and neighbourhood socioeconomic status with physical activity and screen time in seventh-grade boys and girls in Berlin, Germany: a cross-sectional study

Cited by 20 publications

References 68 publications

Individual-, home- and preschool-level correlates of preschool children’s sedentary time

Individual-, home- and preschool-level correlates of preschool children’s sedentary time

Determinants of Physical Activity and Screen Time Trajectories in 7th to 9th Grade Adolescents—A Longitudinal Study

The Impact of Socioeconomic Status on Children’s Behavior/Dental Anxiety and Their Exposure to Media in Alexandria, Egypt (A Cross-Sectional Study)

Contact Info

Product

Resources

About