scholarly journals Meal and habitual dietary networks identified through Semiparametric Gaussian Copula Graphical Models in a German adult population

PLoS ONE ◽  
2018 ◽  
Vol 13 (8) ◽  
pp. e0202936 ◽  
Author(s):  
Carolina Schwedhelm ◽  
Sven Knüppel ◽  
Lukas Schwingshackl ◽  
Heiner Boeing ◽  
Khalid Iqbal
Keyword(s):  
Graphical Models ◽  
Adult Population ◽  
Gaussian Copula ◽  
German Adult

scholarly journals Gaussian Graphical Models Identify Networks of Dietary Intake in a German Adult Population

2016 ◽  
Vol 146 (3) ◽  
pp. 646-652 ◽  
Author(s):  
Khalid Iqbal ◽  
Brian Buijsse ◽  
Janine Wirth ◽  
Matthias B Schulze ◽  
Anna Floegel ◽  
...  
Keyword(s):  
Dietary Intake ◽  
Graphical Models ◽  
Adult Population ◽  
Gaussian Graphical Models ◽  
German Adult

Joint estimation of multiple high-dimensional Gaussian copula graphical models

2017 ◽  
Vol 59 (3) ◽  
pp. 289-310 ◽  
Author(s):  
Yong He ◽  
Xinsheng Zhang ◽  
Jiadong Ji ◽  
Bin Liu
Keyword(s):  
Graphical Models ◽  
Joint Estimation ◽  
Gaussian Copula ◽  
High Dimensional

scholarly journals Material Resources and Body Fatness in an East German Adult Population: Insights From the LIFE-adult-study 

2021 ◽  
Author(s):  
Cornelia Enzenbach ◽  
Bernd Kowall
Keyword(s):  
Adult Population ◽  
Epidemiological Studies ◽  
Substantial Part ◽  
Reverse Causality ◽  
Body Fatness ◽  
Material Resources ◽  
Adult Study ◽  
Working Age ◽  
East German ◽  
German Adult

Abstract Background. Obesity has been postulated to be a consequence of economic disadvantage. However, epidemiological studies failed to demonstrate a consistent link between income and body fatness. We examined income as a possible cause of obesity in an East German general population, focusing on appropriate representation of study variables, as well as on confounding and modification of the income-obesity association.Methods. We used data of 9,599 participants in the baseline examination of the LIFE-Adult-Study, conducted in the city of Leipzig from 2011 to 2014. Body mass index (BMI) and waist circumference (WC) as obesity measures were based on standardised measurements, net equivalised income (NEI) on self-reports. We estimated adjusted means of BMI and WC within NEI categories representing the range from risk of poverty to affluence. We stratified the analyses by gender, age, and education. Results. A substantial part of the age-adjusted associations of income with obesity measures was attributable to other SES indicators. Adjusted for these variables, NEI was comparably associated with BMI and WC. Among women, BMI and WC decreased across NEI categories. The inverse associations tended to be stronger at non-working age (≥ 65 years) than at working age (< 65 years). Conversely, among working-age men, BMI and WC increased with increasing NEI. Among older men, risk of poverty was related to higher values of the obesity measures. The aforementioned associations were predominantly stronger in highly educated participants compared to those with medium/low education. The differences in mean BMI and WC between persons at risk of poverty and higher income groups were rather small, ranging from 1 to 2 kg/m2 for BMI and 2 to 4 cm for WC. Conclusions. Our investigation indicates an association between material resources and body fatness in an East German adult population that depends on the sociodemographic context of the people. However, it does not suggest that income disparities are a major driver of body fat accumulation in this population. Differential selection of study participants, error in the measurement of long-term income, and possibly reverse causality may have affected our conclusions.

scholarly journals Patterns of multiple lifestyle risk factors and their link to mental health in the German adult population: a cross-sectional study

BMJ Open ◽  
2018 ◽  
Vol 8 (12) ◽  
pp. e022184 ◽  
Author(s):  
Josefine Atzendorf ◽  
Christian Apfelbacher ◽  
Elena Gomes de Matos ◽  
Ludwig Kraus ◽  
Daniela Piontek
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Adult Population ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Lifestyle Risk Factors ◽  
Unhealthy Diet ◽  
Lifestyle Risk ◽  
German Adult

ObjectivesLifestyle risk factors, such as drinking or unhealthy diet, can expotentiate detrimental health effects. Therefore, it is important to investigate multiple lifestyle risk factors instead of single ones. The study aims at: (1) identifying patterns of lifestyle risk factors within the adult general population in Germany and (2) examining associations between the extracted patterns and external factors.DesignCross-sectional study.SettingGeneral German adult population (aged 18–64 years).ParticipantsParticipants of the 2015 Epidemiological Survey of Substance Abuse (n=9204).Primary outcome measuresLifestyle risk factors (daily smoking, at-risk alcohol consumption, unhealthy diet, low physical activity, weekly use of pharmaceuticals, as well as consumption of cannabis and other illicit drugs).ResultsA latent class analysis was applied to identify patterns of lifestyle risk factors, and a multinomial logistic regression was carried out to examine associations between the extracted classes and external factors. A total of four classes were extracted which can be described as healthy lifestyle (58.5%), drinking lifestyle (24.4%), smoking lifestyle (15.4%) and a cumulate risk factors lifestyle (1.7%). Individuals who were male, at younger age and single as well as individuals with various mental health problems were more likely to show multiple lifestyle risk factors.ConclusionsHealthcare professionals should be aware of correlations between different lifestyle risk factors as well as between lifestyle risk groups and mental health. Health promotion strategies should further focus especially on younger and single men.

Assessing contamination paths of the German adult population with gold and platinum. The German Environmental Survey 1998 (GerES III)

2005 ◽  
Vol 208 (6) ◽  
pp. 499-508 ◽  
Author(s):  
Jens Benemann ◽  
Nils Lehmann ◽  
Katja Bromen ◽  
Anja Marr ◽  
Margarete Seiwert ◽  
...  
Keyword(s):  
Adult Population ◽  
Environmental Survey ◽  
German Adult

The 10-Item Big Five Inventory

2007 ◽  
Vol 23 (3) ◽  
pp. 193-201 ◽  
Author(s):  
Beatrice Rammstedt
Keyword(s):  
Psychometric Properties ◽  
Big Five ◽  
Representative Sample ◽  
Adult Population ◽  
Total Sample ◽  
Full Scale ◽  
Time Constraints ◽  
Big Five Inventory ◽  
German Adult ◽  
Size And Structure

Abstract. The 10-Item Big Five Inventory (BFI-10; Rammstedt & John, 2007 ), a short scale version of the well-established BFI, was developed to provide a personality inventory for research settings with extreme time constraints. It allows assessing the Big Five by only two items per dimension. Previous research has clearly shown that the BFI-10 possesses psychometric properties that are comparable in size and structure to those of the full-scale BFI. Based on data from a large sample representative of the German adult population, the present study aimed to provide norms for the total sample and for subsamples depending on different sociodemographic variables and to investigate effects of gender, age, and education on the BFI-10. Results indicate that the sociodemographic effects found in the German representative sample clearly replicate those of previous research conducted in that field.

Ten-year trends in DMF-S and DMF-T in a north-east German adult population

2021 ◽  
pp. 103727
Author(s):  
J. Schmoeckel ◽  
J. Abdul Haq ◽  
S. Samietz ◽  
R.M. Santamaría ◽  
M.S. Mourad ◽  
...  
Keyword(s):  
Adult Population ◽  
North East ◽  
East German ◽  
German Adult
Sign in / Sign up

Export Citation Format

Share Document