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Skipping breakfast is detrimental for primary school children: cross-sectional analysis of determinants for targeted prevention

Overview of attention for article published in BMC Public Health, March 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

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13 X users
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Citations

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265 Mendeley
Title
Skipping breakfast is detrimental for primary school children: cross-sectional analysis of determinants for targeted prevention
Published in
BMC Public Health, March 2017
DOI 10.1186/s12889-017-4169-z
Pubmed ID
Authors

Dorothea Kesztyüs, Meike Traub, Romy Lauer, Tibor Kesztyüs, Jürgen Michael Steinacker

Abstract

Skipping breakfast was found to be associated with abdominal obesity in primary school children. The aim of this research was to examine factors associated with skipping breakfast in primary school children in order to develop targeted preventive measures. Baseline data assessment (2010) of a cluster-randomized controlled trial for the evaluation of a school-based health promotion program in primary school children in the state of Baden-Württemberg, Germany. Anthropometric measures of 1,943 primary school children aged 7.1 ± 0.6 years (51.2% boys) were conducted according to ISAK-standards (International Standard for Anthropometric Assessment) by trained staff. Further information on the health and living conditions of the children and their parents were assessed in parental questionnaires. Generalized linear mixed regression analysis was calculated to define correlates for skipping breakfast in terms of odds ratios (OR) and 95% confidence intervals (CI). According to the final regression models, significant correlates of skipping breakfast can be divided into modifiable behavioral components (high consumption of soft drinks (OR 2.49, 95% CI 1.81; 3.43), screen media (OR 2.48, 95% CI 1.77; 3.46) and high levels of physical activity (OR 0.64, 95% CI 0.44; 0.93)) on the one hand, and more or less static socio-economic factors (migration background (OR 2.81, 95% CI 2.02; 3.91), single parenting (OR 2.13, 95% CI 1.34; 3.40), and high family education level (OR 0.42, 95% CI 0.28; 0.64)) on the other hand, and finally individual factors (female gender (OR 1.43, 95% CI 1.03; 1.99) and having a percentage of body fat at or above the 95th percentile (OR 1.47, 95% CI 1.00; 2.17)). Targeted prevention should aim at health-related behaviors accompanying the habit of skipping breakfast. Focusing on vulnerable groups, characterized by not so easily modifiable socio-economic as well as individual factors, may improve results. Interventions should synergistically promote children's health and involve their parents in order to be successful. To reach all children and to avoid skipping breakfast, schools should offer regular breakfast at the start of a school day. Policy makers should support healthy eating habits at all times.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 265 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 265 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 51 19%
Student > Master 47 18%
Student > Ph. D. Student 15 6%
Student > Doctoral Student 15 6%
Researcher 10 4%
Other 35 13%
Unknown 92 35%
Readers by discipline Count As %
Nursing and Health Professions 65 25%
Medicine and Dentistry 43 16%
Sports and Recreations 12 5%
Social Sciences 11 4%
Agricultural and Biological Sciences 10 4%
Other 27 10%
Unknown 97 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 March 2021.
All research outputs
#3,661,006
of 24,955,994 outputs
Outputs from BMC Public Health
#4,306
of 16,612 outputs
Outputs of similar age
#64,231
of 313,456 outputs
Outputs of similar age from BMC Public Health
#56
of 184 outputs
Altmetric has tracked 24,955,994 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,612 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has gotten more attention than average, scoring higher than 74% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 313,456 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 184 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.