@article{HeldMittnachtKolbetal.2014,
  author    = {Held, Matthias and Mittnacht, Maria and Kolb, Martin and Karl, Sabine and Jany, Berthold},
  title     = {Pulmonary and Cardiac Function in Asymptomatic Obese Subjects and Changes following a Structured Weight Reduction Program: A Prospective Observational Study},
  series = {PLOS ONE},
  volume    = {9},
  journal   = {PLOS ONE},
  number    = {9},
  doi       = {10.1371/journal.pone.0107480},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-119239},
  pages     = {e107480},
  year      = {2014},
  abstract  = {Background The prevalence of obesity is rising. Obesity can lead to cardiovascular and ventilatory complications through multiple mechanisms. Cardiac and pulmonary function in asymptomatic subjects and the effect of structured dietary programs on cardiac and pulmonary function is unclear. Objective To determine lung and cardiac function in asymptomatic obese adults and to evaluate whether weight loss positively affects functional parameters. Methods We prospectively evaluated bodyplethysmographic and echocardiographic data in asymptomatic subjects undergoing a structured one-year weight reduction program. Results 74 subjects (32 male, 42 female; mean age 42±12 years) with an average BMI 42.5±7.9, body weight 123.7±24.9 kg were enrolled. Body weight correlated negatively with vital capacity (R = -0.42, p<0.001), FEV1 (R = -0.497, p<0.001) and positively with P 0.1 (R = 0.32, p = 0.02) and myocardial mass (R = 0.419, p = 0.002). After 4 months the study subjects had significantly reduced their body weight (-26.0±11.8 kg) and BMI (-8.9±3.8) associated with a significant improvement of lung function (absolute changes: vital capacity +5.5±7.5\% pred., p<0.001; FEV1+9.8±8.3\% pred., p<0.001, ITGV+16.4±16.0\% pred., p<0.001, SR tot -17.4±41.5\% pred., p<0.01). Moreover, P0.1/Pimax decreased to 47.7\% (p<0.01) indicating a decreased respiratory load. The change of FEV1 correlated significantly with the change of body weight (R = -0.31, p = 0.03). Echocardiography demonstrated reduced myocardial wall thickness (-0.08±0.2 cm, p = 0.02) and improved left ventricular myocardial performance index (-0.16±0.35, p = 0.02). Mitral annular plane systolic excursion (+0.14, p = 0.03) and pulmonary outflow acceleration time (AT +26.65±41.3 ms, p = 0.001) increased. Conclusion Even in asymptomatic individuals obesity is associated with abnormalities in pulmonary and cardiac function and increased myocardial mass. All the abnormalities can be reversed by a weight reduction program.},
  language  = {en}
}
@article{MeuleGearhard2014,
  author    = {Meule, Adrian and Gearhard, Ashley N.},
  title     = {Food Addiction in the Light of DSM-5},
  series = {Nutrients},
  volume    = {6},
  journal   = {Nutrients},
  number    = {9},
  issn      = {2072-6643},
  doi       = {10.3390/nu6093653},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-119279},
  pages     = {3653-71},
  year      = {2014},
  abstract  = {The idea that specific kind of foods may have an addiction potential and that some forms of overeating may represent an addicted behavior has been discussed for decades. In recent years, the interest in food addiction is growing and research on this topic lead to more precise definitions and assessment methods. For example, the Yale Food Addiction Scale has been developed for the measurement of addiction-like eating behavior based on the diagnostic criteria for substance dependence of the fourth revision of the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV). In 2013, diagnostic criteria for substance abuse and-dependence were merged, thereby increasing the number of symptoms for substance use disorders (SUDs) in the DSM-5. Moreover, gambling disorder is now included along SUDs as a behavioral addiction. Although a plethora of review articles exist that discuss the applicability of the DSM-IV substance dependence criteria to eating behavior, the transferability of the newly added criteria to eating is unknown. Thus, the current article discusses if and how these new criteria may be translated to overeating. Furthermore, it is examined if the new SUD criteria will impact future research on food addiction, for example, if "diagnosing" food addiction should also be adapted by considering all of the new symptoms. Given the critical response to the revisions in DSM-5, we also discuss if the recent approach of Research Domain Criteria can be helpful in evaluating the concept of food addiction.},
  language  = {en}
}
@article{BlechertMeuleBuschetal.2014,
  author    = {Blechert, Jens and Meule, Adrian and Busch, Niko A. and Ohla, Kathrin},
  title     = {Food-pics: an image database for experimental research on eating and appetite},
  series = {Frontiers in Psychology},
  volume    = {5},
  journal   = {Frontiers in Psychology},
  issn      = {1664-1078},
  doi       = {10.3389/fpsyg.2014.00617},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-115987},
  pages     = {617},
  year      = {2014},
  abstract  = {Our current environment is characterized by the omnipresence of food cues. The sight and smell of real foods, but also graphically depictions of appetizing foods, can guide our eating behavior, for example, by eliciting food craving and influencing food choice. The relevance of visual food cues on human information processing has been demonstrated by a growing body of studies employing food images across the disciplines of psychology, medicine, and neuroscience. However, currently used food image sets vary considerably across laboratories and image characteristics (contrast, brightness, etc.) and food composition (calories, macronutrients, etc.) are often unspecified. These factors might have contributed to some of the inconsistencies of this research. To remedy this, we developed food-pics, a picture database comprising 568 food images and 315 non-food images along with detailed meta-data. A total of N = 1988 individuals with large variance in age and weight from German speaking countries and North America provided normative ratings of valence, arousal, palatability, desire to eat, recognizability and visual complexity. Furthermore, data on macronutrients (g), energy density (kcal), and physical image characteristics (color composition, contrast, brightness, size, complexity) are provided. The food-pics image database is freely available under the creative commons license with the hope that the set will facilitate standardization and comparability across studies and advance experimental research on the determinants of eating behavior. Read F},
  language  = {en}
}