Редактирование: DEGS1 (раздел)

==Publications==

{{medline-entry
|title=[Frailty: Prevalence in the Resident Population of Germany 70 - 79 Years of Age - a Population-Based Approach].
|pubmed-url=https://pubmed.ncbi.nlm.nih.gov/29156480
|abstract=In all countries life expectancy is rising, and many older persons spend a longer period in good health. Nevertheless, frailty is present in older people and can be considered as a risk factor for limitations. The "German Health Interview and Examination Survey for Adults" ([[DEGS1]]) 2008 - 2011 comprised interviews, examinations and tests. Data on 1110 community-dwelling people aged 70 to 79 years participating in [[DEGS1]] with full records on frailty were analysed. Physical frailty was defined as exhaustion (SF-36 item), low grip strength, slowness (Timed Up-and-Go test > 15 seconds or unable to perform) and low physical activity (no sports or exertion). In men 36,6% (CI 32,2 - 41,2) were classified as pre-frail, 2,5% (CI 1,4 - 4,4) as frail; in women 41,8% (CI 37,3 - 46,5) were classified as pre-frail, and 2,9% (CI 1,9 - 4,5) as frail. Frail persons significantly show more polypharmacy, recurrent falls, receive more frequently nursing care financial benefits, are officially recognized disabled and have poor social support. This population-based information may help to identify frail people with high risk of adverse health outcomes. Prediction models in operative anaesthesiology for specific health care settings should be developed.
|mesh-terms=* Aged
* Female
* Frail Elderly
* Frailty
* Geriatrics
* Germany
* Humans
* Male
* Prevalence

|full-text-url=https://sci-hub.do/10.1055/s-0043-105841
}}
{{medline-entry
|title=Physical exercise and cognitive function across the life span: Results of a nationwide population-based study.
|pubmed-url=https://pubmed.ncbi.nlm.nih.gov/28919495
|abstract=To examine cross-sectional and longitudinal associations between physical exercise and cognitive function across different age groups in a nationwide population-based sample of adults aged 18-79 years in Germany. Cross-sectional/prospective. Cognitive function was assessed in the mental health module of the German Health Interview and Examination Survey for Adults ([[DEGS1]]-MH, 2009-2012, n=3535), using a comprehensive neuropsychological test battery. Cognitive domain scores for executive function and memory were derived from confirmatory factor analysis. Regular physical exercise in the last three months was assessed by self-report and defined as no exercise, <2 and ≥2h (hours) of exercise per week. A subgroup of [[DEGS1]]-MH participants who previously participated in the German National Health Interview and Examination Survey 1998 (GNHIES98, 1997-1999, n=1624) enabled longitudinal analyses with a mean follow-up of 12.4 years. Compared to no exercise, more weekly physical exercise was associated with better executive function in cross-sectional (<2h: β=0.12; ≥2h: β=0.17; all p<0.001) and longitudinal analyses (<2h: β=0.14, p<0.001; ≥2h: β=0.15, p=0.001) using linear regression models adjusted for age, sex, education, smoking, alcohol consumption, fruit and vegetable consumption and obesity. Slightly weaker associations were found for memory in cross-sectional (<2h: β=0.08, p=0.009; ≥2h: β=0.08, p=0.026) and longitudinal analysis (<2h: β=0.09, p=0.036; ≥2h: β=0.08, p=0.114). There was no evidence of interaction between physical exercise and age. Higher levels of physical exercise were associated with better executive function and memory in cross-sectional and longitudinal analyses with no evidence for differential effects by age.
|mesh-terms=* Adolescent
* Adult
* Age Factors
* Aged
* Cognition
* Cognitive Aging
* Cross-Sectional Studies
* Executive Function
* Exercise
* Female
* Humans
* Linear Models
* Longevity
* Longitudinal Studies
* Male
* Memory
* Middle Aged
* Neuropsychological Tests
* Population Surveillance
* Prospective Studies
* Self Report
* Young Adult
|keywords=* Executive function
* Health examination survey
* Longitudinal studies
* Memory
* Neuropsychological assessment
* Risk factors
|full-text-url=https://sci-hub.do/10.1016/j.jsams.2017.08.022
}}