Kesztyüs, Tibor I.

[["dc.bibliographiccitation.firstpage","9935"],["dc.bibliographiccitation.issue","18"],["dc.bibliographiccitation.journal","International Journal of Environmental Research and Public Health"],["dc.bibliographiccitation.volume","18"],["dc.contributor.affiliation","Kesztyüs, Dorothea; 1Institute of General Practice, Ulm University Medical Center, Albert-Einstein-Allee 23, 89081 Ulm, Germany; petra-1.cermak@uni-ulm.de (P.C.); anne.barzel@uni-ulm.de (A.B.)"],["dc.contributor.affiliation","Cermak, Petra; 1Institute of General Practice, Ulm University Medical Center, Albert-Einstein-Allee 23, 89081 Ulm, Germany; petra-1.cermak@uni-ulm.de (P.C.); anne.barzel@uni-ulm.de (A.B.)"],["dc.contributor.affiliation","Kesztyüs, Tibor; 2Department of Medical Informatics, Georg-August University, Von-Siebold-Straße 3, 37075 Göttingen, Germany; tibor.kesztyues@med.uni-goettingen.de"],["dc.contributor.affiliation","Barzel, Anne; 1Institute of General Practice, Ulm University Medical Center, Albert-Einstein-Allee 23, 89081 Ulm, Germany; petra-1.cermak@uni-ulm.de (P.C.); anne.barzel@uni-ulm.de (A.B.)"],["dc.contributor.author","Kesztyüs, Dorothea"],["dc.contributor.author","Cermak, Petra"],["dc.contributor.author","Kesztyüs, Tibor"],["dc.contributor.author","Barzel, Anne"],["dc.contributor.editor","Tchounwou, Paul B."],["dc.date.accessioned","2021-12-01T09:24:05Z"],["dc.date.available","2021-12-01T09:24:05Z"],["dc.date.issued","2021"],["dc.date.updated","2022-02-09T13:20:34Z"],["dc.description.abstract","Time-restricted eating (TRE) has rapidly gained interest in the public and the scientific community. One presumed mechanism of action is the adaptation of the eating–fasting rhythm to the evolutionary circadian rhythm of the metabolism. Study results regarding the suggestion that earlier beginning of food intake leads to better outcomes are heterogeneous. We conducted a secondary analysis of pooled data from two pilot studies on TRE to examine an association between the timing of onset of food intake with obesity-related outcomes. Participants (n = 99, 83 females aged 49.9 ± 10.8 years) were asked to restrict their daily eating to 8–9 h for three months. Tertiles of the onset of food intake were assessed for changes in anthropometry, blood lipid levels, and health-related quality of life. We detected no significant differences in outcomes between early (before 9:47), medium (9:47–10:50), and late onset (after 10:50) of food intake. However, the duration of the eating period was longest in the group with the earliest (8.6 ± 1.0 h) and shortest in the group with the latest onset (7.5 ± 0.8 h). Subsequently, fasting duration was longest in the last group (16.5 h). This may have compromised the results. More research is needed in this area to address this question."],["dc.description.abstract","Time-restricted eating (TRE) has rapidly gained interest in the public and the scientific community. One presumed mechanism of action is the adaptation of the eating–fasting rhythm to the evolutionary circadian rhythm of the metabolism. Study results regarding the suggestion that earlier beginning of food intake leads to better outcomes are heterogeneous. We conducted a secondary analysis of pooled data from two pilot studies on TRE to examine an association between the timing of onset of food intake with obesity-related outcomes. Participants (n = 99, 83 females aged 49.9 ± 10.8 years) were asked to restrict their daily eating to 8–9 h for three months. Tertiles of the onset of food intake were assessed for changes in anthropometry, blood lipid levels, and health-related quality of life. We detected no significant differences in outcomes between early (before 9:47), medium (9:47–10:50), and late onset (after 10:50) of food intake. However, the duration of the eating period was longest in the group with the earliest (8.6 ± 1.0 h) and shortest in the group with the latest onset (7.5 ± 0.8 h). Subsequently, fasting duration was longest in the last group (16.5 h). This may have compromised the results. More research is needed in this area to address this question."],["dc.identifier.doi","10.3390/ijerph18189935"],["dc.identifier.eissn","1660-4601"],["dc.identifier.pii","ijerph18189935"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/94842"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-478"],["dc.publisher","MDPI"],["dc.relation.eissn","1660-4601"],["dc.rights","Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/)."],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0/"],["dc.title","Early or Delayed Onset of Food Intake in Time-Restricted Eating: Associations with Markers of Obesity in a Secondary Analysis of Two Pilot Studies"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","11070"],["dc.bibliographiccitation.issue","21"],["dc.bibliographiccitation.journal","International Journal of Environmental Research and Public Health"],["dc.bibliographiccitation.volume","18"],["dc.contributor.author","Kesztyüs, Dorothea"],["dc.contributor.author","Lampl, Josefine"],["dc.contributor.author","Kesztyüs, Tibor"],["dc.contributor.editor","Tchounwou, Paul B."],["dc.date.accessioned","2021-12-01T09:22:49Z"],["dc.date.available","2021-12-01T09:22:49Z"],["dc.date.issued","2021"],["dc.description.abstract","The prevalence of obesity already reached epidemic proportions many years ago and more people may die from this pandemic than from COVID-19. However, the figures depend on which measure of fat mass is used. The determination of the associated health risk also depends on the applied measure. Therefore, we will examine the most common measures for their significance, their contribution to risk assessment and their applicability. The following categories are reported: indices of increased accumulation of body fat; weight indices and mortality; weight indices and risk of disease; normal weight obesity and normal weight abdominal obesity; metabolically healthy obesity; the obesity paradox. It appears that BMI is still the most common measure for determining weight categories, followed by measures of abdominal fat distribution. Newer measures, unlike BMI, take fat distribution into account but often lack validated cut-off values or have limited applicability. Given the high prevalence of obesity and the associated risk of disease and mortality, it is important for a targeted approach to identify risk groups and determine individual risk. Therefore, in addition to BMI, a measure of fat distribution should always be used to ensure that less obvious but risky manifestations such as normal weight obesity are identified."],["dc.description.abstract","The prevalence of obesity already reached epidemic proportions many years ago and more people may die from this pandemic than from COVID-19. However, the figures depend on which measure of fat mass is used. The determination of the associated health risk also depends on the applied measure. Therefore, we will examine the most common measures for their significance, their contribution to risk assessment and their applicability. The following categories are reported: indices of increased accumulation of body fat; weight indices and mortality; weight indices and risk of disease; normal weight obesity and normal weight abdominal obesity; metabolically healthy obesity; the obesity paradox. It appears that BMI is still the most common measure for determining weight categories, followed by measures of abdominal fat distribution. Newer measures, unlike BMI, take fat distribution into account but often lack validated cut-off values or have limited applicability. Given the high prevalence of obesity and the associated risk of disease and mortality, it is important for a targeted approach to identify risk groups and determine individual risk. Therefore, in addition to BMI, a measure of fat distribution should always be used to ensure that less obvious but risky manifestations such as normal weight obesity are identified."],["dc.identifier.doi","10.3390/ijerph182111070"],["dc.identifier.pii","ijerph182111070"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/94491"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-478"],["dc.publisher","MDPI"],["dc.relation.eissn","1660-4601"],["dc.rights","Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/)."],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0/"],["dc.title","The Weight Problem: Overview of the Most Common Concepts for Body Mass and Fat Distribution and Critical Consideration of Their Usefulness for Risk Assessment and Practice"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]