Objectives: To describe the meal patterns of Jena schoolchildren and their associations with children's weight status and parental characteristics. Design: Cross-sectional study. Setting: Twenty schools in Jena ( ,100 000 inhabitants), south-east Germany. Subjects: A total of 2054 schoolchildren aged 7-14 years with information on BMI standard deviation score (BMI-SDS) and weight status (based on German reference values), of whom 1571 had additional information about their parents (parental education and employment status, weight status according to WHO guidelines) and meal patterns (school lunch participation rate, meal frequencies, breakfast consumption and frequency of family meals). Results: Weight status of the children was associated with weight status, education and employment status of the parents. Meal patterns were strongly dependent on children's age and parental employment. As age increased, the frequency of meal consumption, participation rate in school lunches and the number of family meals decreased. Using linear regression analysis, a high inverse association between BMI-SDS and meal frequency was observed, in addition to relationships with parental weight status and paternal education. Conclusions: Age-specific prevention programmes should encourage greater meal frequency. The close involvement of parents is essential in any strategy for improving children's (families') diets.
This article documents the number of target persons participating in the panel surveys of the National Educational Panel Study (NEPS) as well as the number of respondents who temporarily dropout and of those leaving the panel (attrition). NEPS comprises panel surveys with six mutually exclusive starting cohorts covering the complete life span. Sample sizes, numbers of participants and temporary as well as final dropouts and participation rates are reported in detail for each wave and for subsamples, if applicable. Sample particularities, such as the conversion of temporary dropouts into final ones, are elaborated on. All figures presented are derived from the corresponding Scientific Use Files (SUFs) published by February 1, 2018. Selectivity due to attrition (i.e., final dropouts) is studied. For this purpose, we examine how attrition distorts the NEPS samples with respect to relevant design variables (such as stratification criteria) and panel member characteristics (like sex and birth year). In detail, we study the panel status of each panel member, that is being part of the panel or having dropped out finally, along all of the panel waves with respect to starting cohort and population specific characteristics. We conclude this article with some recommendations for dealing with the detected selection bias in statistical analyses.
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