@article{LensingElsner2019,
  author    = {Lensing, Johanna Nele and Elsner, Birgit},
  title     = {Cool executive functioning predicts not only mean levels but also individual 3-year growth trajectories of zBMI in elementary-school children},
  series = {International Journal of Behavioral Development},
  volume    = {43},
  journal   = {International Journal of Behavioral Development},
  number    = {4},
  publisher = {Sage Publ.},
  address   = {London},
  issn      = {0165-0254},
  doi       = {10.1177/0165025419833818},
  pages     = {351 -- 362},
  year      = {2019},
  abstract  = {Executive functions (EFs) may help children to regulate their food-intake in an "obesogenic" environment, where energy-dense food is easily available. There is mounting evidence that overweight is associated with diminished hot and cool EFs, and several longitudinal studies found evidence for a predictive effect of hot EFs on children's bodyweight, but longitudinal research examining the effect of cool EF on weight development in children is still scarce. The current 3-year longitudinal study examined the effect of a latent cool EF factor, which was based on three behavioral EF tasks, on subsequent mean levels and 3-year growth trajectories of body-mass-index z-scores (zBMI). Data from a large sample of children, with zBMI ranging from normal weight to obesity (n = 1474, aged 6-11 years at T1, 52\% girls) was analyzed using structural-equation modeling and linear latent growth-curve modeling. Cool EF at the first wave (T1) negatively predicted subsequent zBMI and zBMI development throughout the 3-year period in middle childhood such that children with better EF had a lower zBMI and less steep zBMI growth. These effects were not moderated by the children's age or gender. In conclusion, as early as in middle childhood, cool EFs seem to support the self-regulation of food-intake and consequently may play a causal role in the multifactorial etiology of overweight.},
  language  = {en}
}
@misc{HudsonThiekenBubeck2019,
  author    = {Hudson, Paul and Thieken, Annegret and Bubeck, Philip},
  title     = {The challenges of longitudinal surveys in the flood risk domain},
  series = {Postprints der Universit{\"a}t Potsdam Mathematisch-Naturwissenschaftliche Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam Mathematisch-Naturwissenschaftliche Reihe},
  number    = {759},
  issn      = {1866-8372},
  doi       = {10.25932/publishup-43409},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-434092},
  pages     = {23},
  year      = {2019},
  abstract  = {There has been much research regarding the perceptions, preferences, behaviour, and responses of people exposed to flooding and other nat- ural hazards. Cross-sectional surveys have been the predominant method applied in such research. While cross-sectional data can provide a snapshot of a respondent's behaviour and perceptions, it cannot be assumed that the respondent's perceptions are constant over time. As a result, many important research questions relating to dynamic processes, such as changes in risk perceptions, adaptation behaviour, and resilience cannot be fully addressed by cross-sectional surveys. To overcome these shortcomings, there has been a call for developing longitudinal (or panel) datasets in research on natural hazards, vulnerabilities, and risks. However, experiences with implementing longitudinal surveys in the flood risk domain (FRD), which pose distinct methodological challenges, are largely lacking. The key problems are sample recruitment, attrition rate, and attrition bias. We present a review of the few existing longitudinal surveys in the FRD. In addition, we investigate the potential attrition bias and attrition rates in a panel dataset of flood-affected households in Germany. We find little potential for attrition bias to occur. High attrition rates across longitudinal survey waves are the larger concern. A high attrition rate rapidly depletes the longitudinal sample. To overcome high attrition, longitudinal data should be collected as part of a multisector partnership to allow for sufficient resources to implement sample retention strategies. If flood-specific panels are developed, different sample retention strategies should be applied and evaluated in future research to understand how much-needed longitudinal surveying techniques can be successfully applied to the study of individuals threatened by flooding.},
  language  = {en}
}