@article{RuzanskaWarschburger2020,
  author    = {Ruzanska, Ulrike Alexandra and Warschburger, Petra},
  title     = {How is intuitive eating related to self-reported and laboratory food intake in middle-aged adults?},
  series = {Eating behaviors},
  volume    = {38},
  journal   = {Eating behaviors},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {1471-0153},
  doi       = {10.1016/j.eatbeh.2020.101405},
  pages     = {9},
  year      = {2020},
  abstract  = {As intuitive eating (IE) is characterized by eating in response to internal cues of hunger and satiety and by monitoring the effect of food on the body, it has been hypothesized to lead to healthy food intake. Evidence concerning its link to food intake is scarce. This experimental study investigated the relationship between IE and food intake in middle-aged adults. Fifty-five participants aged 50-70 years completed the Intuitive Eating Scale 2 to measure IE. Usual consumption frequency of fruits, vegetables, snacks and sweets was assessed as a measure of healthy self-reported food intake. A taste test of apples, carrots, coated peanuts and chocolate was conducted as a measure of healthy and total laboratory food intake. Regression analyses were performed using Frequentist and Bayesian methods of inference. In line with our hypothesis, IE was associated with healthier self-reported food intake (medium effect size: f(2) = 0.24). The data were 49.80 times more likely under H-1 than under H-0. Contrary to our hypotheses, IE was neither associated with healthy nor total laboratory food intake in classical regression analyses. The accompanying Bayes factors revealed inconclusive evidence. Data only allow drawing cautious conclusions about the different relationship between IE and the self-reported consumption frequency of the foods vs. the amount of these foods consumed in a single test situation. Future studies combining different measures of IE (e.g., behavioral paradigms) and self-reported (e.g., diet quality, portion sizes) and laboratory (e.g., repeated taste tests with pre-selected foods) food intake are warranted to further explore their relationship.},
  language  = {en}
}
@article{EinumFossenParryetal.2019,
  author    = {Einum, Sigurd and Fossen, Erlend I. F. and Parry, Victor and Pelabon, Christophe},
  title     = {Genetic variation in metabolic rate and correlations with other energy budget components and life history in Daphnia magna},
  series = {Evolutionary Biology},
  volume    = {46},
  journal   = {Evolutionary Biology},
  number    = {2},
  publisher = {Springer},
  address   = {New York},
  issn      = {0071-3260},
  doi       = {10.1007/s11692-019-09473-x},
  pages     = {170 -- 178},
  year      = {2019},
  abstract  = {Much is known about the genetic variance in certain components of metabolism, most notably resting and maximum metabolic rate. This is in stark contrast to the lack of information on genetic variance in the metabolic rate of individuals that feed and express routine activity, and how this rate correlates with other components of the energy budget or life history traits. Here we quantify genetic variance in metabolic rate (MR) under such conditions, as well as food consumption, juvenile somatic growth rate and age at maturation under ad lib food availability in a set of 10 clones of Daphnia magna from a natural population. Broad sense evolvabilities (0.16 0.56\%) were on the same order of magnitude as those typically observed for physiological and life history traits, and suggest that all these traits have the potential to evolve within this population. We did not find support for the previously hypothesized positive genetic correlation between metabolic rate and growth rate. Rather, the patterns of genetic correlations suggest that genetic variance in food consumption is the single most influential trait shaping somatic growth rate, but that additional variance in growth can be explained by considering the joint effect of consumption and MR. The genetic variance in consumption and MR also translated into genetic variance in age at maturation, creating a direct link between these energy budget components and a life history trait with strong fitness effects. Moreover, a weak positive correlation between MR and food consumption suggests the presence of substantial amounts of independent genetic control of these traits, consistent with results obtained using genomic approaches.},
  language  = {en}
}
@misc{IllnerNoethlingsWagneretal.2017,
  author    = {Illner, Anne-Kathrin and N{\"o}thlings, Ute and Wagner, Karen and Ward, Heather and Boeing, Heiner},
  title     = {The Assessment of Individual Usual Food Intake in Large-Scale Prospective Studies},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-399840},
  pages     = {7},
  year      = {2017},
  abstract  = {Recent research has called into question the current practice to estimate individual usual food intake in large-scale studies. In such studies, usual food intake has been defined as diet over the past year. The aim of this review is to summarise the concepts of dietary assessment methods providing food intake data over this time period. A conceptualised framework is given to help researchers to understand the more recent developments to improve dietary assessment in large-scale prospective studies, and also to help to spot the gaps that need to be addressed in future methodological research. The conceptual framework illustrates the current options for the assessment of an individual's food consumption over 1 year. Ideally, a person's food intake on each day of this year should be assessed. Due to participants' burden, and organisational and financial constraints, however, the options are limited to directly requesting the long-term average (e.g. food frequency questionnaires), or selecting a few days with detailed food consumption measurements (e.g. 24-hour dietary recalls) or using snapshot techniques (e.g. barcode scanning of purchases). It seems necessary and important to further evaluate the performance of statistical modelling of the individual usual food intake from all available sources. Future dietary assessment might profit from the growing prominence of internet and telecommunication technologies to further enhance the available data on food consumption for each study participant. Research is crucial to investigate the performance of innovative assessment tools. However, the self-reported nature of the data itself will always lead to bias.},
  language  = {en}
}