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obesity

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LIFE Adult

This population-based study examined 10,000 participants randomly selected from the Leipzig population (2011 to 2014). A follow-up is to be carried out from 2017 - 2020. The study mainly included people aged between 40 and 79. All participants underwent a 6-hour study program and people over 60 years of age were invited two more times to in-depth study of cognition and depression and the brain (MRI, EEG). Extensive measurements of genome, metabolome and transcriptome are available. The LIFE-ADULT
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Programme: Epidemiology

Public web page: http://life.uni-leipzig.de/en/adults/life_adult.html

Start date: 1st Jan 2009

Diabetes and hypertension contribute to normal-appearing white matter microstructural variability in the brain
LIFE- Leipzig Research Center for Civilization Diseases

Abstract (Expand)

Background and objectives: Obesity has been associated with increased risk of dementia. Grey and white matter (WM) of the brain are commonly used as biomarkers for early detection of dementia. However, … considering WM, available neuroimaging studies had mainly small sample size and yielded less conclusive results (Kullmann et al., 2015). Recently, a positive correlation between obesity and fractional anisotropy (FA) in a middle age group was reported (Birdsill et al. 2017). Furthermore, obesity is related to many medical problems such as diabetes and hypertension. Diabetes and hypertension were found to be correlated with brain structures independently (de Leeuw et al., 2002; Weinstein et al., 2015). Yet, studies rarely investigated non-lesion WM microstructure and its association with diabetes and blood pressure. Therefore we aim to investigate the relation between abdominal obesity, diabetes, blood pressure and WM microstructural variability in a large cohort of community-dwelling healthy adults. Methods: The sample included dementia-free participants (mean age 55 ± 16 years; 50.7% women) of the LIFE cohort with brain MRI scans (n = 1255). WM microstructure was measured with diffusion tensor imaging (DTI). Mean FA was derived from the individual WM skeleton processed by tract-based-spatial-statistic method. Linear regression models were used to assess the relationships between diabetes, blood pressure, waist to hip ratio (WHR) and DTI parameters. Adjustments were made for age, sex, education and Apoe4. Results: The preliminary result indicated diabetes, systolic blood pressure and WHR were independently associated with lower FA, and diabetes explained the most variance besides age. Subgroup analysis revealed both systolic blood pressure and WHR were negatively associated with mean FA in the non-diabetes group (n=1101). Conclusions: The preliminary result of our study indicates that diabetes accelerated brain aging on directional diffusion of WM. Abdominal fat and blood pressure were associated with WM variabilities independently from age, sex and diabetes. With subsequent analysis of additional DTI measures, blood parameters, WM hyperintensity maps and voxel-based microstructural WM “integrity”, we aim to further characterize the associations between obesity, diabetes, blood pressure and WM microstructure. This will contribute to the existing literature and help to disentangle the underlying mechanism.

Authors: Rui Zhang, Frauke Beyer, L. Lampe, Tobias Luck, Steffi Gerlinde Riedel-Heller, M. Stumvoll, Markus Löffler, M. L. Schroeter, A. Villringer, A. V. Witte

Date Published: 2017

Journal: IUNS 21st International Congress of Nutrition

Human Diseases: diabetes mellitus, obesity, hypertension

Obesity negatively impacts outcome in elderly female patients with aggressive B-cell lymphomas treated with R-CHOP: results from prospective trials of the German high grade non-Hodgkin's lymphoma trial group.
German Lymphoma Alliance (GLA)

Abstract (Expand)

To study if obesity is a risk factor in elderly patients (>60 years) with aggressive B-cell lymphoma, the outcomes of 576 elderly patients treated with rituximab in the RICOVER-60 trial were analysed … in a retrospective study with regard to body mass index (BMI) and gender. Of the 576 patients, 1% had low body weight (BMI < 18.5), 38% were normal weight (18.5 </= BMI < 25), 42% were overweight (25 </= BMI < 30) and 19% were obese (BMI >/= 30). Event-free (EFS), progression-free (PFS) and overall survival (OS) according to BMI showed no significant differences for all and for male patients. EFS (P = 0.041), PFS (P = 0.038) and OS (P = 0.031) were significantly better for female non-obese patients. A multivariate analysis adjusted for International Prognostic Index risk factors confirmed these results, with the following hazard ratios (HR) for obesity (BMI >/= 30) for EFS/PFS/OS: all patients - 1.4/1.4/1.4 (not significant); male patients - 1.2/1.2/1.0 (not significant) and female patients - 1.7 (P = 0.032)/1.9 (P = 0.022)/2.0 (P = 0.017). In conclusion, obesity is a risk factor that influences treatment outcome in elderly female patients with aggressive B-cell lymphoma treated with R-CHOP (rituximab + cyclophosphamide, doxorubicin, vincristine, prednisolone). The inferior outcomes in obese female patients may be due to faster rituximab clearance in obese females.

Authors: K. Hohloch, Bettina Altmann, M. Pfreundschuh, Markus Löffler, N. Schmitz, F. Zettl, Marita Ziepert, L. Trumper

Date Published: 2nd Dec 2017

Journal: Br J Haematol

Human Diseases: obesity, B-cell lymphoma

Body typing of children and adolescents using 3D-body scanning.
LIFE Child

Abstract (Expand)

Three-dimensional (3D-) body scanning of children and adolescents allows the detailed study of physiological development in terms of anthropometrical alterations which potentially provide early onset … markers for obesity. Here, we present a systematic analysis of body scanning data of 2,700 urban children and adolescents in the age range between 5 and 18 years with the special aim to stratify the participants into distinct body shape types and to describe their change upon development. In a first step, we extracted a set of eight representative meta-measures from the data. Each of them collects a related group of anthropometrical features and changes specifically upon aging. In a second step we defined seven body types by clustering the meta-measures of all participants. These body types describe the body shapes in terms of three weight (lower, normal and overweight) and three age (young, medium and older) categories. For younger children (age of 5-10 years) we found a common 'early childhood body shape' which splits into three weight-dependent types for older children, with one or two years delay for boys. Our study shows that the concept of body types provides a reliable option for the anthropometric characterization of developing and aging populations.

Authors: Henry Löffler-Wirth, M. Vogel, Toralf Kirsten, F. Glock, T. Poulain, A. Korner, Markus Löffler, W. Kiess, Hans Binder

Date Published: 21st Oct 2017

Journal: PLoS One

Human Diseases: obesity

Longitudinal anthropometry of children and adolescents using 3D-body scanning.
LIFE- Leipzig Research Center for Civilization Diseases, LIFE Child

Abstract (Expand)

3D-body scanning anthropometry is a suitable method for characterization of physiological development of children and adolescents, and for understanding onset and progression of disorders like overweight … and obesity. Here we present a novel body typing approach to describe and to interpret longitudinal 3D-body scanning data of more than 800 children and adolescents measured in up to four follow-ups in intervals of 1 year, referring to an age range between 6 and 18 years. We analyzed transitions between body types assigned to lower-, normal- and overweight participants upon development of children and adolescents. We found a virtually parallel development of the body types with only a few transitions between them. Body types of children and adolescents tend to conserve their weight category. 3D body scanning anthropometry in combination with body typing constitutes a novel option to investigate onset and progression of obesity in children.

Authors: Henry Löffler-Wirth, M. Vogel, Toralf Kirsten, F. Glock, T. Poulain, A. Korner, Markus Löffler, W. Kiess, Hans Binder

Date Published: 14th Sep 2018

Journal: PLoS One

Human Diseases: obesity

Higher body mass index is associated with reduced posterior default mode connectivity in older adults.
LIFE Adult

Abstract (Expand)

Obesity is a complex neurobehavioral disorder that has been linked to changes in brain structure and function. However, the impact of obesity on functional connectivity and cognition in aging humans … is largely unknown. Therefore, the association of body mass index (BMI), resting-state network connectivity, and cognitive performance in 712 healthy, well-characterized older adults of the Leipzig Research Center for Civilization Diseases (LIFE) cohort (60-80 years old, mean BMI 27.6 kg/m(2) +/- 4.2 SD, main sample: n = 521, replication sample: n = 191) was determined. Statistical analyses included a multivariate model selection approach followed by univariate analyses to adjust for possible confounders. Results showed that a higher BMI was significantly associated with lower default mode functional connectivity in the posterior cingulate cortex and precuneus. The effect remained stable after controlling for age, sex, head motion, registration quality, cardiovascular, and genetic factors as well as in replication analyses. Lower functional connectivity in BMI-associated areas correlated with worse executive function. In addition, higher BMI correlated with stronger head motion. Using 3T neuroimaging in a large cohort of healthy older adults, independent negative associations of obesity and functional connectivity in the posterior default mode network were observed. In addition, a subtle link between lower resting-state connectivity in BMI-associated regions and cognitive function was found. The findings might indicate that obesity is associated with patterns of decreased default mode connectivity similar to those seen in populations at risk for Alzheimer's disease. Hum Brain Mapp 38:3502-3515, 2017. (c) 2017 Wiley Periodicals, Inc.

Authors: Frauke Beyer, S. Kharabian Masouleh, J. M. Huntenburg, L. Lampe, Tobias Luck, Steffi Gerlinde Riedel-Heller, Markus Löffler, M. L. Schroeter, M. Stumvoll, A. Villringer, A. V. Witte

Date Published: 12th Apr 2017

Journal: Hum Brain Mapp

Human Diseases: obesity

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