Christa Scheidt-Nave’s research while affiliated with Robert Koch Institut and other places

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Publications (387)


Graphical abstract: Tracking of Serum Lipids from Prepuberty to Young Adulthood
  • Research
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January 2025

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1 Read

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Antje Kneuer

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Christa Scheidt-Nave

Lipids in Health and Disease 10.1186/s12944-024-02409-1 https://rdcu.be/d4U3g

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Flow diagram of study participants selection
Change in serum lipid levels from childhood to young adulthood (N = 692). HDL-C: high density lipoprotein cholesterol, non-HDL-C: Non-High-density lipoprotein cholesterol, TC: total cholesterol. Percent change in categories from baseline to follow-up is depicted in the arrows. For proportions in bold print the numerator is the whole study cohort; for proportions in parentheses the numerator is the total number of individuals in that particular baseline risk category. Cut-offs for serum lipids according to Expert Panel on Integrated Guidelines for Cardiovascular Health and Risk Reduction in Children and Adolescents [36], see Table 1
Tracking of serum lipids from prepuberty to young adulthood: results from the KiGGS cohort study

December 2024

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10 Reads

Lipids in Health and Disease

Background Universal lipid screening in childhood for early detection and treatment of familial hypercholesterolemia is under discussion, but will also detect children with multifactorial dyslipidemia. Results from population-based studies can support the design of public health strategies. As few previous studies considered pubertal changes in serum lipid levels, we examined tracking of serum lipids from prepuberty to young adulthood in a population-based cohort. Methods This longitudinal study includes 692 children from the German Health Interview and Examination Survey for Children and Adolescents (KiGGS; baseline: 2003–2006, follow-up: 2014–2017) who were 6–8 years old at baseline, at least 18 years old at follow-up, and had measurements of serum total cholesterol (TC), high-density and non-high-density lipoprotein cholesterol (HDL-C; non-HDL-C) at both time points. We calculated proportions of participants by life stage-specific risk categories applying cut points for young children and young adults. We used correlation coefficients to estimate serum lipid tracking from childhood to young adulthood. The association between follow-up and baseline lipid levels was examined in sex-specific multivariable linear regression models including body mass index (BMI), health-related behaviors and medication use as covariables. Results The correlation coefficient between baseline and follow-up was 0.60 for non-HDL-C, 0.56 for TC, and 0.43 for HDL-C and was higher in males than in females. 67% of participants had acceptable and 9% had borderline/elevated non-HDL-C levels at both time points. Of participants with borderline/elevated non-HDL-C levels at baseline 32% remained in this category and 68% improved. Non-HDL-C levels at baseline explained 53% of the variance in levels at follow-up in males and 28% in females. After adjustment for covariables, the explained variance increased to 62% in males and 45% in females. An increase in BMI z-scores from childhood to young adulthood in all sexes and oral contraceptive use in females was positively associated with higher levels at follow-up. Conclusions Non-HDL-C levels in prepuberty are moderate predictors of levels in young adulthood, along with increasing BMI from childhood to young adulthood, and oral contraceptive use among women. Comprehensive strategies including public health interventions targeting elevated lipid levels and obesity in combination, are essential to prevent premature cardiovascular events.



Worldwide trends in diabetes prevalence and treatment from 1990 to 2022: a pooled analysis of 1108 population-representative studies with 141 million participants

November 2024

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1,002 Reads

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129 Citations

The Lancet

Background Diabetes can be detected at the primary health-care level, and effective treatments lower the risk of complications. There are insufficient data on the coverage of treatment for diabetes and how it has changed. We estimated trends from 1990 to 2022 in diabetes prevalence and treatment for 200 countries and territories. Methods We used data from 1108 population-representative studies with 141 million participants aged 18 years and older with measurements of fasting glucose and glycated haemoglobin (HbA1c), and information on diabetes treatment. We defined diabetes as having a fasting plasma glucose (FPG) of 7·0 mmol/L or higher, having an HbA1c of 6·5% or higher, or taking medication for diabetes. We defined diabetes treatment as the proportion of people with diabetes who were taking medication for diabetes. We analysed the data in a Bayesian hierarchical meta-regression model to estimate diabetes prevalence and treatment. Findings In 2022, an estimated 828 million (95% credible interval [CrI] 757–908) adults (those aged 18 years and older) had diabetes, an increase of 630 million (554–713) from 1990. From 1990 to 2022, the age-standardised prevalence of diabetes increased in 131 countries for women and in 155 countries for men with a posterior probability of more than 0·80. The largest increases were in low-income and middle-income countries in southeast Asia (eg, Malaysia), south Asia (eg, Pakistan), the Middle East and north Africa (eg, Egypt), and Latin America and the Caribbean (eg, Jamaica, Trinidad and Tobago, and Costa Rica). Age-standardised prevalence neither increased nor decreased with a posterior probability of more than 0·80 in some countries in western and central Europe, sub-Saharan Africa, east Asia and the Pacific, Canada, and some Pacific island nations where prevalence was already high in 1990; it decreased with a posterior probability of more than 0·80 in women in Japan, Spain, and France, and in men in Nauru. The lowest prevalence in the world in 2022 was in western Europe and east Africa for both sexes, and in Japan and Canada for women, and the highest prevalence in the world in 2022 was in countries in Polynesia and Micronesia, some countries in the Caribbean and the Middle East and north Africa, as well as Pakistan and Malaysia. In 2022, 445 million (95% CrI 401–496) adults aged 30 years or older with diabetes did not receive treatment (59% of adults aged 30 years or older with diabetes), 3·5 times the number in 1990. From 1990 to 2022, diabetes treatment coverage increased in 118 countries for women and 98 countries for men with a posterior probability of more than 0·80. The largest improvement in treatment coverage was in some countries from central and western Europe and Latin America (Mexico, Colombia, Chile, and Costa Rica), Canada, South Korea, Russia, Seychelles, and Jordan. There was no increase in treatment coverage in most countries in sub-Saharan Africa; the Caribbean; Pacific island nations; and south, southeast, and central Asia. In 2022, age-standardised treatment coverage was lowest in countries in sub-Saharan Africa and south Asia, and treatment coverage was less than 10% in some African countries. Treatment coverage was 55% or higher in South Korea, many high-income western countries, and some countries in central and eastern Europe (eg, Poland, Czechia, and Russia), Latin America (eg, Costa Rica, Chile, and Mexico), and the Middle East and north Africa (eg, Jordan, Qatar, and Kuwait). Interpretation In most countries, especially in low-income and middle-income countries, diabetes treatment has not increased at all or has not increased sufficiently in comparison with the rise in prevalence. The burden of diabetes and untreated diabetes is increasingly borne by low-income and middle-income countries. The expansion of health insurance and primary health care should be accompanied with diabetes programmes that realign and resource health services to enhance the early detection and effective treatment of diabetes.


Quality indicators of long-term care for older people in OECD countries; a rapid scoping review

October 2024

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16 Reads

The European Journal of Public Health

Background The COVID-19 pandemic has exposed the vulnerability of older people living in long-term care facilities (LTCF), highlighting the urgent need for research on the quality of care for this group of the population. There is no universal definition for quality of care in LTCF, and yet, multiple tools and indicators have been developed to measure it. In this rapid scoping review, we aim to provide a comprehensive overview of the current knowledge on quality of care concepts and indicators for older people in LTCF in OECD countries. Methods This review follows the World Health Organization (WHO) guide for rapid reviews and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA-ScR) extension for scoping reviews, including protocol registration (https://doi.org/10.17605/OSF.IO/34B2S). The electronic bibliographic databases MEDLINE (PubMed), EMBASE, and CINAHL were searched in September 2023 for studies published between 2013 and 2023 for quality indicators in LTCF. Experts in quality of care in LTCF were contacted and consulted to retrieve sources of grey literature. Information on the definition or framework of quality of care, quality of care dimensions, measurement instruments, context and purpose of the measurement will be extracted. Results Of the 8,516 identified records, 6,449 were screened by title and abstract after removing duplicates. A total of 469 publications will be screened in full-text. Experts recommended 40 websites to be screened for quality indicators. The PRISMA flowchart diagram will be provided to describe the selection process. Conclusions This review aims to improve the quality of care for older people living in LTCF. Our results will identify which concepts and dimensions of care are currently being measured in OECD countries, whether they are backed by any definition and scientific framework of quality of care for older residents of LTCF, and whether there is consideration of closing gaps in quality measurement. Key messages • Quality of care is an understudied field in the context of long-term care facilities for older people. • In order to further improve quality in long-term care for older people, it is necessary to systematically review the current state of knowledge on quality concepts and indicators.


Type 2 diabetes risk is associated with poorer general health and mental health in women and men

October 2024

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17 Reads

The European Journal of Public Health

Background Increasing evidence points to a relation between cardiometabolic and mental health, but population-based data are scarce. We investigated the association of type 2 diabetes (T2D) risk to general and mental health with a focus on potential differences between women and men. Methods The study population comprised 5,192 adults (18+ years) without known diabetes based on data of the German Health Update (GEDA) 2022. T2D risk was assessed by the German Diabetes Risk Score (GDRS), that estimates the 5-year probability of developing T2D and was categorized into low, still low, elevated, and high risk. Sex-specific Poisson regression analyses were conducted including self-rated health (SRH), self-rated mental health (SRMH), depressive symptoms (PHQ-2) and anxiety symptoms (GAD-2) as dichotomous dependent variables and age, educational level, living alone, region of residence, and social support as covariables. Results Women had a higher prevalence of low T2D risk (66.1%) and a lower prevalence of high T2D risk (9.4 %) than men (55.3% vs. 16.3%). Compared to those with low T2D risk, women and men with a high T2D risk were less likely to report very good/good SRH (women: prevalence ratio: 0.63; 95% confidence interval: 0.51-0.79; men: 0.69; 0.57-0.84) or excellent/very good SRMH (women: 0.53, 0.39-0.73; men: 0.85, 0.63-1.15). Further, those with a high T2D risk had a higher risk of depressive symptoms (women: 1.71, 1.05-2.81; men: 2.23, 1.22-4.05) and anxiety symptoms (women: 1.84, 1.03-3.29; men: 2.73, 1.09-6.81). No statistically significant interactions between sex and T2D risk were observed regarding the included health outcomes. Conclusions A high T2D risk is associated with a lower probability of a favourable SRH and SRMH and a higher risk of depressive and anxiety symptoms in men and women. The underlying mechanisms need further identification, in order to design synergistically beneficial health promotion for cardiometabolic and mental health. Key messages • No sex-specific differences in general and mental health were found in people at high T2D risk. • Further research is needed to identify the underlying mechanism to improve general and mental health.


Prevalence of adults with fatigue in Germany: results of the ‘German Health Update 2023’ study

October 2024

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11 Reads

The European Journal of Public Health

Background Fatigue is a non-specific symptom complex associated with exhaustion, lack of motivation and concentration. It has high public health relevance due to impairments in quality of life and work ability and increased risk of accidents. Fatigue has increasingly gained attention as one of the most common post-acute consequences of SARS-CoV-2 infection. Fatigue is also common among non-infected people and there is a lack of population-based background data. Therefore, we investigated the prevalence and factors associated with fatigue in a population-based epidemiological study in Germany. Methods The analyses are part of the national population-based cross-sectional telephone survey ‘German Health Update’ (GEDA 2023) in adults (3/2023-2/2024). Fatigue was surveyed using the Fatigue Assessment Scale (FAS) and dichotomized into yes (at least mild/moderate) versus no fatigue. The FAS is an instrument for mild-to-moderate fatigue, which must be distinguished from chronic fatigue syndrome (CFS). Weighted analyses of the data from 9,766 adults were carried out descriptively and in multivariable Poisson models, considering sociodemographic and health-related determinants. Results The prevalence of fatigue in Germany was estimated to be 29.7% (95% CI 28.1-31.2) and was highest in 18- to 29-year-olds at 39.6% (35.0-44.4). The prevalence decreased up to 65- to 79- year-olds (20.6% (18.2-23.3)) and was again higher in people aged 80 and over (33.2% (28.9-37.7)). Women had a higher risk of fatigue than men (aRR 1.19 (1.08-1.32)). Lower education (aRR 1.29 (1.13-1.49)) and medium education (aRR 1.13 (1.01-1.27)) were associated with increased risk of fatigue. There were significant associations between fatigue and chronic illness, depressive symptoms and long COVID. Conclusions Fatigue is a common symptom among adults in Germany. Female gender, young and very old adulthood as well as lower education are associated with higher risk of fatigue. Key messages • The correlations between fatigue and socio-demographic variables as well as parameters of physical and mental health provide important indications of groups particularly affected by fatigue. • The fatigue survey in GEDA 2023 is one of the few current European studies that describe the frequency of fatigue in the general population and analyzes health and sociodemographic determinants.


Flowchart selection of the COVID-19, Influenza and contemporary control cohort. *Persons with Influenza who died before the first post-Influenza quarter were eliminated before matching. They are listed under not continuously insured in 2018-2019Q3
Scatter plot of incidence risk ratios of a Poisson regression of COVID-19 compared to the matched contemporary control cohort 3 to 6 and 12 to 15 months after infection on logarithmic scale
Persistence of symptoms and conditions over 6 quarters for A Dysgeusia/Anosmia (ICD-10 R43.0,R43.2,R43.8), B WHO post-COVID condition Definition, C Malaise/exhaustion (ICD-10:R53), D Chronic fatigue syndrome (ICD-10:G93.3), E Dyspnea (ICD-10:R06.0, R06.2, R06.88), F Respiratory insufficient (ICD-10:J96), G Cognitive Impairment (ICD-10:F06.7, U51.1, U51.2) and H Memory disorder (ICD-10:R41). Chest pain (ICd-10 R07.1) was not persistent during the time span
Post-viral symptoms and conditions are more frequent in COVID-19 than influenza, but not more persistent

October 2024

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56 Reads

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1 Citation

BMC Infectious Diseases

Background Post-viral symptoms have long been known in the medical community but have received more public attention during the COVID-19 pandemic. Many post-viral symptoms were reported as particularly frequent after SARS-CoV-2 infection. However, there is still a lack of evidence regarding the specificity, frequency and persistence of these symptoms in comparison to other viral infectious diseases such as influenza. Methods We investigated a large population-based cohort based on German routine healthcare data. We matched 573,791 individuals with a PCR-test confirmed SARS-CoV-2 infection from the year 2020 to contemporary controls without SARS-CoV-2 infection and controls from the last influenza outbreak in 2018 and followed them up to 18 months. Results We found that post-viral symptoms as defined for COVID-19 by the WHO as well as tissue damage were more frequent among the COVID-19 cohort than the influenza or contemporary control cohort. The persistence of post-viral symptoms was similar between COVID-19 and influenza. Conclusion Post-viral symptoms following SARS-CoV-2 infection constitute a substantial disease burden as they are frequent and often persist for many months. As COVID-19 is becoming endemic, the disease must not be trivialized. Research should focus on the development of effective treatments for post-viral symptoms.


Abb. 1 9 Prävalenz von Fatigue bei Erwachsenen stratifiziert nach Geschlecht, Altersgruppen und Bildungsgruppen nach der CASMIN-Klassifikation [35], Prävalenz (in %) und 95 %-Konfidenzintervalle, Quelle: GEDA 2023, eigene Abbildung
Fatigue in der Allgemeinbevölkerung: Ergebnisse der Studie „Gesundheit in Deutschland aktuell“ (GEDA 2023)Fatigue in the general population: results of the “German Health Update 2023” study

September 2024

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294 Reads

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1 Citation

Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz

Zusammenfassung Hintergrund Fatigue ist ein Symptomkomplex, geht mit Müdigkeit, Energiemangel und Konzentrationsschwäche einher und hat durch Zusammenhänge mit Arbeitsunfähigkeit, Unfallgefährdung und erhöhten Bedarfen an Gesundheitsversorgung hohe Public-Health-Relevanz. Methode Die Analysen basieren auf Daten von 9766 Erwachsenen des Surveys „Gesundheit in Deutschland aktuell (GEDA)“ 2023. Fatigue wurde mit der Fatigue Assessment Scale (FAS) erfasst, ein validiertes Instrument mit 10 Fragen zur Selbsteinschätzung von Fatigue. Die Skala wurde dichotomisiert in Ja (mindestens milde bis moderate Fatigue) versus Nein (keine Fatigue). Bevölkerungsgewichtete Prävalenzen von Fatigue und assoziierten soziodemografischen und gesundheitsbezogenen Faktoren wurden in deskriptiven Analysen und multivariabler Poisson-Regression berechnet. Ergebnisse Die Prävalenz von Fatigue bei Erwachsenen in Deutschland beträgt 29,7 % (95 %-KI: 28,1–31,2), ist bei 18- bis 29-Jährigen am höchsten (39,6 % (95 %-KI: 35,0–44,4)) und nimmt in den Altersgruppen von 65 bis 79 Jahren ab (20,6 % (95 %-KI: 18,2–23,3)). In der Gruppe der Hochaltrigen liegt sie wieder höher (33,2 % (95 %-KI: 28,9–37,7)). Frauen haben ein höheres Risiko für Fatigue als Männer (adjustiertes relatives Risiko (aRR) 1,19 (95 %-KI: 1,08–1,32)). Fatigue ist unabhängig von Kovariablen signifikant mit Alter, niedrigerer Bildung, chronischer Erkrankung, Depressivität und Long Covid assoziiert. Diskussion GEDA 2023 gehört zu den wenigen bevölkerungsbezogenen Studien, die Daten zur Fatigue erhoben haben. Die Ergebnisse ermöglichen Einschätzungen für Deutschland zur Häufigkeit von Fatigue und zur Bedeutung körperlicher, psychischer und sozialer Einflussfaktoren. Sie können als Referenz bzw. als Basis für zeitliche Trends im kontinuierlichen Gesundheitsmonitoring in Deutschland genutzt werden.


Flowchart of children and adolescents included in the analysis
Relative risk of studied symptoms and conditions after three and 12 months. The figure shows symptoms and conditions with significant excess relative risk at three months after acute COVID-19 (i.e. health outcomes with a lower limit of CI 95% greater than 1 in the first and second quarter after index). Coordinates refer to the IRR after the first, and the fourth quarter of follow-up. For each symptom, dot size is proportional to the magnitude of relative risk after three months (line) and after 12 months (filled), respectively. Different colors are used to denote the frequency in terms of IR of an onset health condition in the COVID-19 group. Conditions positioned below (above) the diagonal line indicate a decreasing (increasing) impact of COVID-19 on incident diagnoses over the time course. Note: Due to very small number of diagnoses for Chronic fatigue (ME/CFS) in the COVID-19 and control group we could not calculate the point estimate after 9–12 months. In this circumstance, the IRR shown refers to 6–9 months (graphic created using the ggplot2 package in R)
Persistence of conditions in individuals in the COVID-19, and in the control group with an onset diagnosis in the first follow-up quarter. Shown are conditions from relevant symptom complexes with an IRR ≥\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\ge$$\end{document} 1.3 in the 0–3 months after the index quarter. Persistence is measured by tracking repeated occurrence of a diagnosis in subsequent follow-up quarters with at most one quarter missing between two diagnoses. Persons who are no more observable are censored in the analysis and persistence is calculated by the share of repeated diagnoses after censoring (graphic created using the ggplot2 package in R)
Long/post-COVID in children and adolescents: symptom onset and recovery after one year based on healthcare records in Germany

September 2024

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43 Reads

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1 Citation

Infection

Purpose Evidence on the incidence and persistence of post-acute sequelae of COVID-19 (PASC) among children and adolescents is still limited. Methods In this retrospective cohort study, 59,339 children and adolescents with laboratory-confirmed COVID-19 in 2020 and 170,940 matched controls were followed until 2021-09-30 using German routine healthcare data. Incidence rate differences (ΔIR) and ratios (IRR) of 96 potential PASC were estimated using Poisson regression. Analyses were stratified according to age (0–11, 12–17 years), and sex. At the individual level, persistence of diagnoses in patients with onset symptoms was tracked starting from the first quarter post-infection. Results At 0–3 month follow-up, children and adolescents with a previous SARS-CoV-2 infection showed a 34% increased risk of adverse health outcome, and approximately 6% suffered from PASC in association with COVID-19. The attributable risk was higher among adolescents (≥ 12 years) than among children. For most common symptoms, IRRs largely persisted at 9–12 month follow-up. IRR were highest for rare conditions strongly associated with COVID-19, particularly inflammatory conditions among children 0–11 years, and chronic fatigue and respiratory insufficiency among adolescents. Tracking of diagnoses at the individual level revealed similar rates in the decline of symptoms among COVID-19 and control cohorts, generally leaving less than 10% of the patients with persistent diagnoses after 12 months. Conclusion Although very few patients presented symptoms for longer than 12 months, excess morbidity among children and, particularly, adolescents with a history of COVID-19 means a relevant burden for pediatric care.


Citations (64)


... This condition is categorized into two primary types: type-1 diabetes, characterized by the immune system's destruction of pancreatic beta cells resulting in total insulin deficiency and type-2 diabetes, which develops when the body's cells exhibit resistance to insulin, referred to as insulin resistance. 1 The global prevalence of diabetes has increased, with around 451 million persons affected in 2017. The Figure is anticipated to rise to 693 million by 2045 if efficacious preventative strategies are not adopted. ...

Reference:

Antidiabetic Activity of Eupatorin against Streptozotocin-Induced Diabetes in Rats: Biochemical and Histological Studies
Worldwide trends in diabetes prevalence and treatment from 1990 to 2022: a pooled analysis of 1108 population-representative studies with 141 million participants

The Lancet

... A higher risk of adverse outcomes across multiple organ system (with less compromise of the lungs) was observed in patients with post-COVID-19 compared with patients with post-influenza [131]. Similar results were reported in a study from Germany [132]. A Canadian study compared the post-COVID-19 syndrome with influenza virus infection and sepsis to evaluate risk of incident cardiovascular, neurological and mental conditions. ...

Post-viral symptoms and conditions are more frequent in COVID-19 than influenza, but not more persistent

BMC Infectious Diseases

... Infection-related but not tuberculosis scientific abstracts (n = 20) were examined for their readability, to serve as a control and comparator of the tuberculosis information. These consisted of COVID-19 and other infection-related information [20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39]. ...

Long/post-COVID in children and adolescents: symptom onset and recovery after one year based on healthcare records in Germany

Infection

... However, for 17.8% of patients, no HbA1c measurement was billed in the year prior to the ED visit. This percentage was considerably higher than the proportion of 4.3% of T2DM patients aged 45 years and older without HbA1c measurements in the last twelve months reported by the National Diabetes Surveillance in Germany for 2021 (48,49). Similarly, only (48). ...

Healthcare and health situation of adults with type 2 diabetes in Germany: The study GEDA 2021/2022-Diabetes

... information on diabetes in people with a history of migration. A study on this topic has now been published [33]. The fact that some of the indicators are not sufficiently up-to-date is emphasised as an inhibiting factor for data use. ...

Type 2 diabetes among people with selected citizenships in Germany: risk, healthcare, complications

... Allerdings wurden zusätzliche inhaltliche Bedarfe genannt, wie z. B. zu Diabetes bei Menschen mit Migrationsgeschichte, wozu inzwischen ein Fachartikel erschienen ist [33]. Die teilweise unzureichende Aktualität der Indikatoren wird als hemmender Faktor für die Datennutzung hervorgehoben. ...

Typ-2-Diabetes bei Menschen mit ausgewählten Staatsangehörigkeiten in Deutschland: Risiko, Versorgung, Komplikationen

... In addition to training healthcare professionals, educational measures for patients could also help improve the quality of care [87] and thus close identified gaps in care. Networks could constitute another approach to increase the competence and motivation of primary care physicians in LC care and promote cross-sectoral knowledge transfer and collaboration [18,88]. This could include, for example, telemedicine consultations or boards [39]. ...

Herausforderungen in der Primärversorgung von Patientinnen und Patienten mit Long‑/Post-COVIDChallenges in ambulatory health service delivery for long/post-COVID: Ergebnisse eines bundesweiten Surveys unter Hausärztinnen und Hausärzten in DeutschlandResults from a nationwide survey of general practitioners in Germany

ZFA - Zeitschrift für Allgemeinmedizin

... The results of the present analysis show that the rising trends detected in previous studies of administrative data [3,13] continued throughout 2022, except for the incidence of deliveries in women with T2DM, which remained stable. These results support findings from other population-based studies in which the incidence of GDM was shown to be increasing among pregnant women [4,9,11,[23][24][25][26]. Consistent with previous data, advanced maternal age was associated with an increase in the incidence of GDM. ...

Prevalence of gestational diabetes mellitus in Germany: Temporal trend and differences by regional socioeconomic deprivation

... For health promotion and NCD prevention in Germany, it will be crucial to use, further develop and consolidate NCD surveillance in the context of a concerted national strategy to combat NCDs in Germany. This requires a clear focus on health goals and target achievement criteria, a continuous dialogue at the regional, national and international level, and the further enhancement of data sources for NCD surveillance, including populationbased health interview and examination surveys [9]. ...

Corrigendum: Health in Germany: Establishment of a population-based health panel

... However, such a misclassification tends to lead to an underestimation of the observed association. In the future, it will be possible to analyse the relationship between self-perceived oral health and medical diagnoses, such as diabetes, cardiovascular and respiratory diseases, on the data basis of the recently established RKI Panel Health in Germany [39]. ...

Erratum: Health in Germany: Establishment of a population-based health panel