Filter and export

Publications

228 Publications visible to you, out of a total of 228
[Indication and Evidence of Internationally Developed Online Coaches as Intervention for Mental Illness - a Meta-Review].
LIFE Adult

Abstract (Expand)

OBJECTIVE: The aim of the study was to investigate the current state of research concerning internationally developed Online Coaches for treatment support and prevention of mental disorders. Evidence … and effectiveness of the Online Coaches ought to be explored. METHODS: A systematic literature search was performed in international databases in order to provide a meta-review of existing Online Coaches for mental disorders. The assessment of the methodological quality and evidence of the studies was based on the established guidelines of the Scottish Intercollegiate Guideline Network. RESULTS: 52 studies (24 meta-analyses, 16 systematic reviews, 2 health-technology assessment reports, and 10 RCT studies) were identified. The efficacy was demonstrated for a variety of Online Coaches for mental disorders, especially for anxiety and depressive disorders, insomnia, and post-traumatic stress disorders, with predominantly acceptable and high quality. CONCLUSION: The present work provides an overview of internationally developed Online Coaches in the field of mental health care. Online Coaches can serve as a useful supplement to the treatment and prevention of mental disorders.

Authors: J. Stein, S. Rohr, T. Luck, M. Lobner, S. G. Riedel-Heller

Date Published: 30th Aug 2017

Publication Type: Journal article

Human Diseases: disease of mental health

Atopic dermatitis is associated with autoimmune but not with cardiovascular comorbidities in a random sample of the general population in Leipzig, Germany.
LIFE Adult

Abstract

Not specified

Authors: R. Treudler, S. Zeynalova, F. Walther, C. Engel, J. C. Simon

Date Published: 2nd Aug 2017

Publication Type: Journal article

Human Diseases: atopic dermatitis

Associations of Sex Hormones and Anthropometry with the Speaking Voice Profile in the Adult General Population.
LIFE Adult

Abstract (Expand)

OBJECTIVE: There is evidence that sexual hormone concentrations and anthropometric factors influence the human voice. The goal of this study was to investigate to what extent body mass index (BMI), … body height, body weight, breast-to-abdomen-ratio, testosterone, estradiol, dehydroepiandrosterone-sulfate (DHEA-S), follicle-stimulating hormone, and luteinizing hormone are associated with the sound pressure level and the fundamental frequency of the speaking voice in a cross-sectional approach among adults in the general population. METHODS: Speaking voice profiles with four different intensity levels, hormone concentrations, and anthropometric parameters were assessed for 2,381 individuals aged 40-79 years, who were randomly sampled from the population of a large city in Germany. Multivariate analysis was performed, adjusting for age and stratified by sex. RESULTS: Taller body height was associated with lower frequencies. Higher body weight was associated with lower frequencies and higher sound pressure levels. The ratio of chest to abdominal circumference was associated with the sound pressure levels in males and females: participants with larger breast-to-abdomen-ratio were found to have higher sound pressure levels. Among the sexual hormones, higher concentrations of DHEA-S were associated with lower fundamental frequencies of the voice while using the normal speaking voice. In addition, bioavailable testosterone was associated with the sound pressure level of the normal speaking voice in men and the softest speaking voice in women. CONCLUSION: Our findings suggest that BMI, body height, body weight, breast-to-abdomen-ratio, bioavailable testosterone, and DHEA-S are associated with the speaking voice in adults. No associations between testosterone and the frequency of the speaking voice were found.

Authors: L. Jost, M. Fuchs, M. Loeffler, J. Thiery, J. Kratzsch, T. Berger, C. Engel

Date Published: 26th Jul 2017

Publication Type: Journal article

Effects of psychological eating behaviour domains on the association between socio-economic status and BMI.
LIFE Adult

Abstract (Expand)

OBJECTIVE: The current study investigates potential pathways from socio-economic status (SES) to BMI in the adult population, considering psychological domains of eating behaviour (restrained eating, … uncontrolled eating, emotional eating) as potential mediators stratified for sex. DESIGN: Data were derived from the population-based cross-sectional LIFE-Adult-Study. Parallel-mediation models were conducted to obtain the total, direct and indirect effects of psychological eating behaviour domains on the association between SES and BMI for men and for women. SETTING: Leipzig, Germany. SUBJECTS: We studied 5935 participants aged 18 to 79 years. RESULTS: Uncontrolled eating mediated the association between SES and BMI in men only and restrained eating in both men and women. Emotional eating did not act as mediator in this relationship. The total effect of eating behaviour domains on the association between SES and BMI was estimated as beta=-0.03 (se 0.02; 95 % CI -0.062, -0.003) in men and beta=-0.18 (se 0.02; 95 % CI -0.217, -0.138) in women. CONCLUSIONS: Our findings do not indicate a strong overall mediation effect of the eating behaviour domains restrained eating, uncontrolled eating and emotional eating on the association between SES and BMI. Further research on other pathways of this association is strongly recommended. Importantly, our findings indicate that, independent from one's social position, focusing on psychological aspects in weight reduction might be a promising approach.

Authors: A. Loffler, T. Luck, F. S. Then, C. Luck-Sikorski, A. Pabst, P. Kovacs, Y. Bottcher, J. Breitfeld, A. Tonjes, A. Horstmann, M. Loffler, C. Engel, J. Thiery, A. Villringer, M. Stumvoll, S. G. Riedel-Heller

Date Published: 25th Jul 2017

Publication Type: Journal article

White matter hyperintensities associated with small vessel disease impair social cognition beside attention and memory.
LIFE Adult

Abstract (Expand)

Age-related white matter hyperintensities (WMH) are a manifestation of white matter damage seen on magnetic resonance imaging (MRI). They are related to vascular risk factors and cognitive impairment. … This study investigated the cognitive profile at different stages of WMH in a large community-dwelling sample; 849 subjects aged 21 to 79 years were classified on the 4-stage Fazekas scale according to hyperintense lesions seen on individual T2-weighted fluid-attenuated inversion recovery MRI scans. The evaluation of cognitive functioning included seven domains of cognitive performance and five domains of subjective impairment, as proposed by the DSM-5. For the first time, the impact of age-related WMH on Theory of Mind was investigated. Differences between Fazekas groups were analyzed non-parametrically and effect sizes were computed. Effect sizes revealed a slight overall cognitive decline in Fazekas groups 1 and 2 relative to healthy subjects. Fazekas group 3 presented substantial decline in social cognition, attention and memory, although characterized by a high inter-individual variability. WMH groups reported subjective cognitive decline. We demonstrate that extensive WMH are associated with specific impairment in attention, memory, social cognition, and subjective cognitive performance. The detailed neuropsychological characterization of WMH offers new therapeutic possibilities for those affected by vascular cognitive decline.

Authors: J. Kynast, L. Lampe, T. Luck, S. Frisch, K. Arelin, K. T. Hoffmann, M. Loeffler, S. G. Riedel-Heller, A. Villringer, M. L. Schroeter

Date Published: 8th Jul 2017

Publication Type: Journal article

Human Diseases: COL4A1-related familial vascular leukoencephalopathy

Could High Mental Demands at Work Offset the Adverse Association Between Social Isolation and Cognitive Functioning? Results of the Population-Based LIFE-Adult-Study.
LIFE Adult

Abstract (Expand)

OBJECTIVES: The study investigated whether high mental demands at work, which have shown to promote a good cognitive functioning in old age, could offset the adverse association between social isolation … and cognitive functioning. METHODS: Based on data from the population-based LIFE-Adult-Study, the association between cognitive functioning (Verbal Fluency Test, Trail Making Test B) and social isolation (Lubben Social Network Scale) as well as mental demands at work (O*NET database) was analyzed via linear regression analyses adjusted for age, sex, education, and sampling weights. RESULTS: Cognitive functioning was significantly lower in socially isolated individuals and in individuals working in low mental demands jobs-even in old age after retirement and even after taking into account the educational level. An interaction effect suggested stronger effects of mental demands at work in socially isolated than nonisolated individuals. CONCLUSIONS: The findings suggest that working in high mental-demand jobs could offset the adverse association between social isolation and cognitive functioning. Further research should evaluate how interventions that target social isolation and enhance mentally demanding activities promote a good cognitive functioning in old age.

Authors: F. S. Rodriguez, M. L. Schroeter, A. V. Witte, C. Engel, M. Loffler, J. Thiery, A. Villringer, T. Luck, S. G. Riedel-Heller

Date Published: 4th Jul 2017

Publication Type: Journal article

Recorded and Reported Sleepiness: The Association Between Brain Arousal in Resting State and Subjective Daytime Sleepiness.
LIFE Adult

Abstract (Expand)

Objectives: Daytime sleepiness is a significant public health concern. Early evidence points toward the computerized VIGALL (Vigilance Algorithm Leipzig) as time-efficient tool to assess sleepiness … objectively. In the present study, we investigated the association between VIGALL variables of EEG vigilance (indicating brain arousal in resting state) and subjective daytime sleepiness in the LIFE cohort study. Additionally, we validated VIGALL against the self-rated likelihood of having fallen asleep during the conducted resting EEG and against heart periods. Methods: Participants of the primary sample LIFE 60+ (N = 1927, 60-79 years) and replication sample LIFE 40+ (N = 293, 40-56 years) completed the Epworth Sleepiness Scale (ESS). After an average interval of 3 weeks (LIFE 60+) and 65 weeks (LIFE 40+), respectively, participants underwent a single 20-minute resting EEG, analyzed using VIGALL 2.1. Results: Analyses revealed significant associations between ESS and EEG vigilance in LIFE 60+ (rho = -0.17, p = 1E-14) and LIFE 40+ (rho = -0.24, p = 2E-5). Correlations between EEG vigilance and self-rated sleep likelihood reached rho = -0.43 (p = 2E-91) in LIFE 60+ and rho = -0.50 (p = 5E-20) in LIFE 40+. Overall, strongest correlations were obtained for EEG vigilance variable "slope index." Furthermore, lower EEG vigilance was consistently associated with longer heart periods. Conclusions: The present study contributes to the validation of VIGALL. Despite the considerable interval between ESS and EEG assessment dates, the strength of ESS-VIGALL association approximates prior ESS-Multiple Sleep Latency Test results. In this light, VIGALL might constitute an economical choice for the objective assessment of daytime sleepiness in large cohort studies. The discriminative power to identify disorders of hypersomnolence, however, remains to be addressed.

Authors: P. Jawinski, J. Kittel, C. Sander, J. Huang, J. Spada, C. Ulke, K. Wirkner, T. Hensch, U. Hegerl

Date Published: 1st Jul 2017

Publication Type: Journal article

Navigate

Health Atlas - Local Data Hub/Leipzig

The Health Atlas - Local Data Hub/Leipzig is an alliance of medical ontologists, medical systems biologists and clinical trials groups to design and implement a multi-functional and quality-assured atlas. It provides models, data and metadata on specific use cases from medical research fields.

Registered Repository

re3data.org Badge
Powered by
 (v.1.13.0-master)
Health Atlas | Funding and Programmes | Credits | Terms & Conditions | Privacy Policy | Imprint
Copyright © 2008 - 2021 The University of Manchester and HITS gGmbH
Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig

By continuing to use this site you agree to the use of cookies