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Socio-demographic and employment-related factors in the German National Cohort (GNC; NAKO Gesundheitsstudie)

Dragano, Nico ; Reuter, Marvin ; Greiser, Karin Halina ; [et al.]

Springer Science and Business Media LLC ; 2020

In: Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz Vol. 63, No. 3 ( 2020-03), p. 267-278

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In: Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz, Springer Science and Business Media LLC, Vol. 63, No. 3 ( 2020-03), p. 267-278

Abstract: In epidemiologic studies, standardised measurement of socio-demographic and employment-related factors is becoming increasingly important, as variables such as gender, age, education or employment status are factors influencing health and disease risks. Aims The article gives an overview of the scientific background and assessment of socio-demographic factors in the German National Cohort Study. In addition, the distribution of individual characteristics in the cohort as well as relationships with health-related measures are presented by way of example. Material and methods The analysis is based on the data of the first half of the baseline survey ( n  = 101,724). On this basis, we present the distribution of key socio-demographic characteristics and analyse relationships with exemplary selected health indicators (body mass index, self-reported health) to assess the validity of socio-demographic data measurements. Results On average, study participants were 52.0 years old (SD = 12.4). Of the participants, 53.6% were women, 54.3% had high education, 60.1% were married and 72% were employed while 3.4% were unemployed. Well-established correlations between socio-demographic factors and health could be reproduced with the German National Cohort data. For example, low education, old age and unemployment were associated with an increased prevalence of obesity and poor self-reported health. Discussion The German National Cohort provides a comprehensive measurement of socio-demographic characteristics. Combined with a wide range of health data and the longitudinal measurements available in the future, this opens up new opportunities for health science and social epidemiological research in Germany.

Type of Medium: Online Resource

ISSN: 1436-9990 , 1437-1588

URL: Article

DOI: 10.1007/s00103-020-03098-8

Language: German

Publisher: Springer Science and Business Media LLC

Publication Date: 2020

detail.hit.zdb_id: 1470303-8

SSG: 20,1

SSG: 8,1

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Diphyllobothrium latum: relato de caso no Brasil

Emmel, Vanessa Erichsen ; Inamine, Everton ; Secchi, Carina ; [et al.]

FapUNIFESP (SciELO) ; 2006

In: Revista da Sociedade Brasileira de Medicina Tropical Vol. 39, No. 1 ( 2006-02), p. 82-84

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In: Revista da Sociedade Brasileira de Medicina Tropical, FapUNIFESP (SciELO), Vol. 39, No. 1 ( 2006-02), p. 82-84

Abstract: Diphyllobothriasis is caused in humans by infection with adult tapeworms of the genus Diphyllobothrium acquired by consuming raw or undercooked freshwater fish. Diphyllobothrium latum was confirmed by examination of the gravid proglottids and typical operculated eggs in the stool. The patient had a history of eating crustaceans and fish. This is the case report of the first Brazilian infected.

Type of Medium: Online Resource

ISSN: 0037-8682

URL: Article

DOI: 10.1590/S0037-86822006000100017

Language: Unknown

Publisher: FapUNIFESP (SciELO)

Publication Date: 2006

detail.hit.zdb_id: 2028921-2

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Association between socioeconomic position and cystatin C in the Heinz Nixdorf Recall Study

Zamrik, Tanja ; Frank, Mirjam ; Emmel, Carina ; [et al.]

Springer Science and Business Media LLC ; 2021

In: Scientific Reports Vol. 11, No. 1 ( 2021-09-29)

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In: Scientific Reports, Springer Science and Business Media LLC, Vol. 11, No. 1 ( 2021-09-29)

Abstract: Social inequalities in health and disease are well studied. Less information is available on inequalities in biomarker levels indicating subclinical stages of disease such as cystatin C, an early diagnostic marker of renal dysfunction and predictor for cardiovascular disease. We evaluated the relationship between cystatin C, socioeconomic position (SEP) and established cardiovascular risk factors in a population-based study. In 4475 men and women aged 45–75 years participating in the baseline examination of the Heinz Nixdorf Recall Study cystatin C was measured from serum samples with a nephelometric assay. SEP was assessed by education and household income. Linear regression models were used to analyse the association between SEP and cystatin C as well as the impact of cardiovascular risk factors (i.e., body mass index, blood pressure, blood glucose, diabetes mellitus, blood lipids, C-reactive protein, smoking) on this association. After adjustment for age and sex cystatin C decreased by 0.019 mg/l (95% confidence interval (CI) − 0.030 to − 0.008) per five years of education. While using a categorical education variable cystatin C presented 0.039 mg/l (95% CI 0.017–0.061) higher in men and women in the lowest educational category (≤ 10 years of education) compared to the highest category (≥ 18 years). Concerning income, cystatin C decreased by 0.014 mg/l (95% CI − 0.021 to − 0.006) per 1000 € after adjustment for age and sex. For men and women in the lowest income quartile cystatin C was 0.024 mg/l (95% CI 0.009–0.038) higher compared to the highest income quartile. After adjusting for established cardiovascular risk factors the observed associations were substantially diminished. Social inequalities seem to play a role in subclinical stages of renal dysfunction, which are also related to development of cardiovascular disease. Adjustment for traditional cardiovascular risk factors showed that these risk factors largely explain the association between SEP and cystatin C.

Type of Medium: Online Resource

ISSN: 2045-2322

URL: Article

DOI: 10.1038/s41598-021-98835-7

Language: English

Publisher: Springer Science and Business Media LLC

Publication Date: 2021

detail.hit.zdb_id: 2615211-3

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Automated imaging-based abdominal organ segmentation and quality control in 20,000 participants of the UK Biobank and German National Cohort Studies

Kart, Turkay ; Fischer, Marc ; Winzeck, Stefan ; [et al.]

Springer Science and Business Media LLC ; 2022

In: Scientific Reports Vol. 12, No. 1 ( 2022-11-04)

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In: Scientific Reports, Springer Science and Business Media LLC, Vol. 12, No. 1 ( 2022-11-04)

Abstract: Large epidemiological studies such as the UK Biobank (UKBB) or German National Cohort (NAKO) provide unprecedented health-related data of the general population aiming to better understand determinants of health and disease. As part of these studies, Magnetic Resonance Imaging (MRI) is performed in a subset of participants allowing for phenotypical and functional characterization of different organ systems. Due to the large amount of imaging data, automated image analysis is required, which can be performed using deep learning methods, e. g. for automated organ segmentation. In this paper we describe a computational pipeline for automated segmentation of abdominal organs on MRI data from 20,000 participants of UKBB and NAKO and provide results of the quality control process. We found that approx. 90% of data sets showed no relevant segmentation errors while relevant errors occurred in a varying proportion of data sets depending on the organ of interest. Image-derived features based on automated organ segmentations showed relevant deviations of varying degree in the presence of segmentation errors. These results show that large-scale, deep learning-based abdominal organ segmentation on MRI data is feasible with overall high accuracy, but visual quality control remains an important step ensuring the validity of down-stream analyses in large epidemiological imaging studies.

Type of Medium: Online Resource

ISSN: 2045-2322

URL: Article

DOI: 10.1038/s41598-022-23632-9

Language: English

Publisher: Springer Science and Business Media LLC

Publication Date: 2022

detail.hit.zdb_id: 2615211-3

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A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids

Ramdas, Shweta ; Judd, Jonathan ; Graham, Sarah E. ; [et al.]

Elsevier BV ; 2022

In: The American Journal of Human Genetics Vol. 109, No. 8 ( 2022-08), p. 1366-1387

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In: The American Journal of Human Genetics, Elsevier BV, Vol. 109, No. 8 ( 2022-08), p. 1366-1387

Type of Medium: Online Resource

ISSN: 0002-9297

URL: Article

DOI: 10.1016/j.ajhg.2022.06.012

RVK:

XA 10000

Language: English

Publisher: Elsevier BV

Publication Date: 2022

detail.hit.zdb_id: 1473813-2

SSG: 12

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A genetic sum score of effect alleles associated with serum lipid concentrations interacts with educational attainment

Emmel, Carina ; Frank, Mirjam ; Dragano, Nico ; [et al.]

Springer Science and Business Media LLC ; 2021

In: Scientific Reports Vol. 11, No. 1 ( 2021-08-16)

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In: Scientific Reports, Springer Science and Business Media LLC, Vol. 11, No. 1 ( 2021-08-16)

Abstract: High-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and total cholesterol (TC) levels are influenced by both genes and the environment. The aim was to investigate whether education and income as indicators of socioeconomic position (SEP) interact with lipid-increasing genetic effect allele scores (GES) in a population-based cohort. Using baseline data of 4516 study participants, age- and sex-adjusted linear regression models were fitted to investigate associations between GES and lipids stratified by SEP as well as including GES×SEP interaction terms. In the highest education group compared to the lowest stronger effects per GES standard deviation were observed for HDL-C (2.96 mg/dl [95%-CI: 2.19, 3.83] vs. 2.45 mg/dl [95%-CI: 1.12, 3.72] ), LDL-C (6.57 mg/dl [95%-CI: 4.73, 8.37] vs. 2.66 mg/dl [95%-CI: −0.50, 5.76] ) and TC (8.06 mg/dl [95%-CI: 6.14, 9.98] vs. 4.37 mg/dl [95%-CI: 0.94, 7.80] ). Using the highest education group as reference, interaction terms showed indication of GES by low education interaction for LDL-C (ß GES×Education : −3.87; 95%-CI: −7.47, −0.32), which was slightly attenuated after controlling for GES LDL-C ×Diabetes interaction (ß GES×Education : −3.42; 95%-CI: −6.98, 0.18). The present study showed stronger genetic effects on LDL-C in higher SEP groups and gave indication for a GES LDL-C ×Education interaction, demonstrating the relevance of SEP for the expression of genetic health risks.

Type of Medium: Online Resource

ISSN: 2045-2322

URL: Article

DOI: 10.1038/s41598-021-95970-z

Language: English

Publisher: Springer Science and Business Media LLC

Publication Date: 2021

detail.hit.zdb_id: 2615211-3

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Lifetime and current depression in the German National Cohort (NAKO)

Streit, Fabian ; Zillich, Lea ; Frank, Josef ; [et al.]

Informa UK Limited ; 2022

In: The World Journal of Biological Psychiatry

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In: The World Journal of Biological Psychiatry, Informa UK Limited

Type of Medium: Online Resource

ISSN: 1562-2975 , 1814-1412

URL: Article

DOI: 10.1080/15622975.2021.2014152

Language: English

Publisher: Informa UK Limited

Publication Date: 2022

detail.hit.zdb_id: 2170223-8

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Lung function in the German National Cohort: methods and initial results

Karrasch, Stefan ; Peters, Annette ; Meisinger, Christa ; [et al.]

Springer Science and Business Media LLC ; 2020

In: Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz Vol. 63, No. 3 ( 2020-03), p. 322-331

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In: Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz, Springer Science and Business Media LLC, Vol. 63, No. 3 ( 2020-03), p. 322-331

Abstract: A nationwide assessment of the respiratory status on the basis of standardized lung function measurements has so far not been available in Germany. The present work describes the lung function tests in the German National Cohort (GNC) and presents initial results based on the GNC Midterm Baseline Dataset. Material and Methods The assessment of lung function in the GNC comprised spirometry (level 1) and the determination of exhaled nitric oxide (FeNO, level 2). Our quality assurance concept included regular training of lung function test procedures at various GNC sites, interim evaluations of test quality, as well as regular calibration/measurement checks of test equipment. For spirometry, we established a stepwise procedure for offline quality control based on raw flow volume curves. Results In the present dataset ( n  = 101,734), spirometry was available for 86,893 study participants and FeNO was available for 15,228 participants. The average (±SD) FEV 1 Z score (according to GLI 2012) was −0.321 ± 1.047, the FVC Z score was −0.153 ± 0.941, and the FEV 1 /FVC Z score was −0.337 ± 0.901. The difference in FEV 1 /FVC between current smokers and never-smokers increased with age. The average FeNO was 14.2 ÷ 2.0 ppb. Current smoking reduced FeNO levels by 43%, whereas respiratory allergy increased FeNO levels by 16% in nonsmokers. Discussion The results of spirometry and the FeNO measurements are in the expected range with regard to their distributions and correlates. The GNC provides a valuable basis for future investigations of respiratory health and its determinants as well as research into the prevention of respiratory diseases in Germany.

Type of Medium: Online Resource

ISSN: 1436-9990 , 1437-1588

URL: Article

DOI: 10.1007/s00103-020-03102-1

Language: German

Publisher: Springer Science and Business Media LLC

Publication Date: 2020

detail.hit.zdb_id: 1470303-8

SSG: 20,1

SSG: 8,1

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Socioeconomic position is associated with N-terminal pro-brain natriuretic peptide (NT-proBNP)—Results of the population-based Heinz Nixdorf Recall study

Rudman, Marina ; Frank, Mirjam ; Emmel, Carina ; [et al.]

Public Library of Science (PLoS) ; 2021

In: PLOS ONE Vol. 16, No. 8 ( 2021-8-20), p. e0255786-

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In: PLOS ONE, Public Library of Science (PLoS), Vol. 16, No. 8 ( 2021-8-20), p. e0255786-

Abstract: N-Terminal pro Brain Natriuretic Peptide (NT-proBNP) is a diagnostic marker for heart failure and a prognostic factor for cardiovascular disease (CVD). The aim of this study was to examine the association of socioeconomic position (SEP) with NT-proBNP while assessing sex-differences and the impact of CVD risk factors and prevalent CVD on the association. Methods Baseline data of 4598 participants aged 45–75 years of the Heinz Nixdorf Recall Study were used. Income and education were used as SEP indicators. Age- and sex-adjusted linear regression models were fitted to calculate effect size estimates and 95% confidence intervals (95%-CIs) for the total effect of SEP indicators on NT-proBNP, while potential mediation was assessed by additionally accounting for traditional CVD risk factors (i.e., systolic blood pressure, HDL cholesterol, LDL cholesterol, diabetes, anti-hypertensive medication, lipid-lowering medication, BMI, current smoking). Education and income were included separately in the models. Results With an age- and sex-adjusted average change in NT-proBNP of -6.47% (95%-CI: -9.91; -2.91) per 1000€, the association between income and NT-proBNP was more pronounced compared to using education as a SEP indicator (-0.80% [95%-CI: -1.92; 0.32] per year of education). Sex-stratified results indicated stronger associations in men (-8.43% [95%-CI: -13.21; -3.38] per 1000€; -1.63% [95%-CI: -3.23; -0.001] per year of education) compared to women (-5.10% [95%-CI: -9.82; -0.01] per 1000€; -1.04% [95%-CI: -2.59; 0.50] per year of education). After adjusting for CVD risk factors some of the observed effect size estimates were attenuated, while the overall association between SEP indicators and NT-proBNP was still indicated. The exclusion of participants with prevalent coronary heart disease or stroke did not lead to a substantial change in the observed associations. Conclusions In the present study associations of education and income with NT-proBNP were observed in a population-based study sample. Only parts of the association were explained by traditional CVD risk factors, while there were substantial sex-differences in the strength of the observed association. Overt coronary heart disease or stroke did not seem to trigger the associations.

Type of Medium: Online Resource

ISSN: 1932-6203

URL: Article

DOI: 10.1371/journal.pone.0255786

DOI: 10.1371/journal.pone.0255786.g001

DOI: 10.1371/journal.pone.0255786.g002

DOI: 10.1371/journal.pone.0255786.g003

DOI: 10.1371/journal.pone.0255786.t001

DOI: 10.1371/journal.pone.0255786.t002

DOI: 10.1371/journal.pone.0255786.t003

DOI: 10.1371/journal.pone.0255786.s001

DOI: 10.1371/journal.pone.0255786.s002

DOI: 10.1371/journal.pone.0255786.s003

DOI: 10.1371/journal.pone.0255786.s004

DOI: 10.1371/journal.pone.0255786.s005

DOI: 10.1371/journal.pone.0255786.s006

DOI: 10.1371/journal.pone.0255786.s007

DOI: 10.1371/journal.pone.0255786.s008

DOI: 10.1371/journal.pone.0255786.s009

DOI: 10.1371/journal.pone.0255786.s010

DOI: 10.1371/journal.pone.0255786.r001

DOI: 10.1371/journal.pone.0255786.r002

DOI: 10.1371/journal.pone.0255786.r003

DOI: 10.1371/journal.pone.0255786.r004

Language: English

Publisher: Public Library of Science (PLoS)

Publication Date: 2021

detail.hit.zdb_id: 2267670-3

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Framework and baseline examination of the German National Cohort (NAKO)

Peters, Annette ; Greiser, Karin Halina ; Göttlicher, Susanne ; [et al.]

Springer Science and Business Media LLC ; 2022

In: European Journal of Epidemiology Vol. 37, No. 10 ( 2022-10), p. 1107-1124

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In: European Journal of Epidemiology, Springer Science and Business Media LLC, Vol. 37, No. 10 ( 2022-10), p. 1107-1124

Abstract: The German National Cohort (NAKO) is a multidisciplinary, population-based prospective cohort study that aims to investigate the causes of widespread diseases, identify risk factors and improve early detection and prevention of disease. Specifically, NAKO is designed to identify novel and better characterize established risk and protection factors for the development of cardiovascular diseases, cancer, diabetes, neurodegenerative and psychiatric diseases, musculoskeletal diseases, respiratory and infectious diseases in a random sample of the general population. Between 2014 and 2019, a total of 205,415 men and women aged 19–74 years were recruited and examined in 18 study centres in Germany. The baseline assessment included a face-to-face interview, self-administered questionnaires and a wide range of biomedical examinations. Biomaterials were collected from all participants including serum, EDTA plasma, buffy coats, RNA and erythrocytes, urine, saliva, nasal swabs and stool. In 56,971 participants, an intensified examination programme was implemented. Whole-body 3T magnetic resonance imaging was performed in 30,861 participants on dedicated scanners. NAKO collects follow-up information on incident diseases through a combination of active follow-up using self-report via written questionnaires at 2–3 year intervals and passive follow-up via record linkages. All study participants are invited for re-examinations at the study centres in 4–5 year intervals. Thereby, longitudinal information on changes in risk factor profiles and in vascular, cardiac, metabolic, neurocognitive, pulmonary and sensory function is collected. NAKO is a major resource for population-based epidemiology to identify new and tailored strategies for early detection, prediction, prevention and treatment of major diseases for the next 30 years.

Type of Medium: Online Resource

ISSN: 0393-2990 , 1573-7284

URL: Article

DOI: 10.1007/s10654-022-00890-5

Language: English

Publisher: Springer Science and Business Media LLC

Publication Date: 2022

detail.hit.zdb_id: 2004992-4

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