Dr. Juliane Tetzlaff
Wissenschaftliche Mitarbeiterin
Dr. Public Health, M.Sc. Demographie
Tel.: (0511) 532 - 5077
Fax. 0511/ 532 - 4214
tetzlaff.juliane@mh-hannover.de
Beruflicher Werdegang
- Studium der Sozialwissenschaften (Bachelor) und der Demographie (Master) an der Universität Rostock
- Masterarbeit über die zeitliche Entwicklung der Multimorbidität sowie deren Determinanten
- Während des Studiums wissenschaftliche Hilfskraft am Institut für Allgemeinmedizin der Universität Rostock
- seit 10/2014 wissenschaftliche Mitarbeiterin in der Medizinischen Soziologie im Projekt „Morbiditätskompression“
- seit 12/2020 Projektleiterin im DFG-geförderten Forschungsprojekt "Lebensarbeitszeit aus gesundheitlicher Perspektive"
Arbeitsschwerpunkte
- Entwicklung der Morbidität mit Schwerpunkt Multimorbidität
- Datenaufbereitung und statistische Analysen
- Gesundheitliche Ungleichheit
Lehre
- Modellstudiengang Medizin: Psychologische und soziologische Grundlagen der Medizin (2. Studienjahr)
- Modellstudiengang Medizin: Kleingruppen im Rahmen des Propädeutikums (1. Studienjahr)
Tetzlaff F, Sauerberg M, Grigoriev P, Tetzlaff J, Muehlichen M, Baumert J, Michalski N, Wengler A, Nowossadeck E, Hoebel J (2024). Age-specific and cause-specific mortality contributions to the socioeconomic gap in life expectancy in Germany, 2003-21: an ecological study. The Lancet Public health. 2024;9(5):e295-e305. doi: 10.1016/S2468-2667(24)00049-5
Beller J, Safieddine B, Sperlich S, Tetzlaff J, Geyer S (2024). Socioeconomic differences in limited lung function: a cross-sectional study of middle-aged and older adults in Germany. International Journal for Equity in Health. 2024;23(1):138. https://doi.org/10.1186/s12939-024-02224-1
Tetzlaff J, Epping J (2024). Länger gesund im Beruf? Trends in den Lebensjahren frei von Herz-Kreislauf- und Muskel-Skelett-Erkrankungen in GKV-Daten für die Erwerbstätigen- und Allgemeinbevölkerung. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz. 2024;67(5):555-63. https://doi.org/10.1007/s00103-024-03868-8
Tetzlaff J, Epping J, Stahmeyer JT, Liebers F, Hegewald J, Sperlich S, Beller J, Tetzlaff F (2024). The development of working life expectancy without musculoskeletal diseases against the backdrop of extended working lives. Scientific Reports. 2024;14(1):7930. doi: 10.1038/s41598-024-58650-2
Nowossadeck S, Nowossadeck E, Tetzlaff F, Tetzlaff J (2024). Wie hat sich die Lebenserwartung ohne funktionelle Einschränkungen in Deutschland entwickelt? Eine Analyse mit Daten des Deutschen Alterssurveys (DEAS). Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz. 2024;67(5):564-71. doi 10.1007/s00103-024-03875-9
Epping J, Tetzlaff F, Mond L, Tetzlaff J (2024). Healthy enough to work up to age 67 and beyond? A longitudinal population-based study on time trends in working life expectancy free of cardiovascular diseases based on German health insurance data. BMJ Public Health. 2024;2(1):e000400. https://doi.org/10.1136/bmjph-2023-000400
Beller J, Safieddine B, Sperlich S, Tetzlaff J, Geyer S (2024). Time trends in limited lung function among German middle-aged and older adults. Scientific reports. 2024;14(1):5036. doi: 10.1038/s41598-024-55624-2
Sperlich S, Beller J, Safieddine B, Tetzlaff J, Geyer S (2024). Widening Educational Inequalities in Physical Health Due to the Obesity Trend?-A Mediation Analysis Using the German Socio-Economic Panel Study. International journal of public health. 2024;69:1606932. doi: 10.3389/ijph.2024.1606932
Tetzlaff F, Nowossadeck E, Epping J, di Lego V, Muszynska-Spielauer M, Beller J, Sperlich S, Tetzlaff J (2023). Trends in cancer-free working life expectancy based on health insurance data from Germany-Is the increase as strong as in working life expectancy? PloS one. 2023;18(7):e0288210. doi: 10.1371/journal.pone.0288210
Beller J, Luy M, Giarelli G, Regidor E, Lostao L, Tetzlaff J, Geyer S (2023). Trends in Activity Limitations From an International Perspective: Differential Changes Between Age Groups Across 30 Countries. J Aging Health. 2023;35(7-8):477-99. doi:10.1177/08982643221141123
Geyer S, Tetzlaff J, Sperlich S, Safieddine B, Epping J, Eberhard S, Stahmeyer J, Beller J (2023). Decreasing COPD-related incidences and hospital admissions in a German health insurance population. Scientific Reports. 2023;13(1):21293. doi: 10.1038/s41598-023-48554-y
Beller J, Epping J, Sperlich S, Tetzlaff J (2023). Changes in disability over time among older working-age adults: Which global and specific limitations are increasing in Germany using the SHARE-data from 2004 to 2015? SAGE Open Med. 2023;11: doi.org/10.1177/20503121231184012
Sperlich S, Beller J, Epping J, Geyer S, Tetzlaff J (2023). Trends of healthy and unhealthy working life expectancy in Germany between 2001 and 2020 at ages 50 and 60: a question of educational level? Journal of Epidemiology and Community Health. 2023;77(7):430. doi.org/10.1136/jech-2023-220345
Epping J*, Stahmeyer JT*, Tetzlaff F, Tetzlaff J (2023). M2Q oder doch etwas Anderes? Der Einfluss verschiedener Aufgreifkriterien auf die Prävalenzschätzung chronischer Erkrankungen mit ambulanten GKV-Diagnosedaten. [M2Q or Something else? The Impact of Varying Case Selection Criteria on the Prevalence Estimation of Chronic Diseases Based on Outpatient Diagnoses in German Claims Data]. Gesundheitswesen 2023;85:1-8. DOI: 10.1055/a-2052-6477 *-geteilte Erstautorenschaft
Tetzlaff F, Nowossadeck E, Epping J, di Lego V, Muszynska-Spielauer M, Beller J, Sperlich S, Tetzlaff J (2023). Trends in cancer-free working life expectancy based on health insurance data from Germany-Is the increase as strong as in working life expectancy? PloS one. 2023;18(7):e0288210. doi: 10.1371/journal.pone.0288210
Epping J*, Safieddine B*, Geyer S, Tetzlaff J (2023). Sind Prävalenzen in Survey- und Routinedaten vergleichbar? Gegenüberstellung von Herzinfarktprävalenzen in Krankenkassendaten der AOK Niedersachsen und in Daten der Studie zur Gesundheit Erwachsener in Deutschland (DEGS1). [Are Prevalence Rates Comparable in Survey and Routine Data? Prevalence of Myocardial Infarction in Claims Data of the AOK Lower Saxony and in Data of German Health Interview and Examination (DEGS1)]. Gesundheitswesen. 2023;85(S 02):S111-s8. *-geteilte Erstautorenschaft
Tetzlaff J, Luy M, Epping J, Geyer S, Beller J, Stahmeyer J T, Sperlich S, Tetzlaff F (2022). Estimating Trends in Working Life Expectancy based on Health Insurance Data from Germany – Challenges and Advantages. SSM – Population Health. doi.org/10.1016/j.ssmph.2022.101215 https://doi.org/10.1016/j.ssmph.2022.101215
Tetzlaff F, Hoebel J, Epping J, Geyer S, Golpon H, Tetzlaff J (2022). Time Trends and Income Inequalities in Cancer Incidence and Cancer-Free Life Expectancy - a Cancer Site-Specific Analysis of German Health Insurance Data. Frontiers in Oncology, 12.
Heller C, Sperlich S, Tetzlaff F, Geyer S, Epping J, Beller J, Tetzlaff J. Living longer, working longer: analysing time trends in working life expectancy in Germany from a health perspective between 2002 and 2018. European Journal of Ageing. 2022. https://doi.org/10.1007/s10433-022-00707-0
Sperlich S, Adler F-M, Beller J, Safieddine B, Tetzlaff F, Tetzlaff J, Geyer S (2022) Getting Better or Getting Worse? A Population-Based Study on Trends in Self-Rated Health among Single Mothers in Germany between 1994 and 2018 International Journal of Environmental Research and Public Health 19 (5):2727. doi: https://doi.org/10.3390/ijerph19052727
Tetzlaff J, Tetzlaff F, Geyer S, Sperlich S, Epping J (2021). Widening or narrowing income inequalities in myocardial infarction? Time trends in life years free of myocardial infarction and after incidence. Population Health Metrics, 2021, 19:47.
Tetzlaff J, Geyer S, Westhoff-Bleck M, Sperlich S, Epping J, Tetzlaff F (2021). Social inequalities in mild and severe myocardial infarction: how large is the gap in health expectancies? Bmc Public Health 2021;21
Tetzlaff F, Epping J, Tetzlaff J, Golpon H, Geyer S (2021). Socioeconomic inequalities in lung cancer - a time trend analysis with German health insurance data. Bmc Public Health 2021;21
Klar MK, Geyer S, Safieddine B, Tetzlaff F, Tetzlaff J, Sperlich S (2021). Trends in healthy life expectancy between 2002 and 2018 in Germany - Compression or expansion of health-related quality of life (HRQOL)? SSM - Population Health 2021; 13: 100758 doi.10.1016/j.ssmph.2021.100758
Sperlich S, Klar MK, Safieddine B, Tetzlaff F, Tetzlaff J, Geyer S (2021). Life stage-specific trends in educational inequalities in health-related quality of life and self-rated health between 2002 and 2016 in Germany: findings from the German Socio-Economic Panel Study (GSOEP). BMJ Open 2021;11:e042017. doi:10.1136/bmjopen-2020-042017
Sperlich S, Beller J, Epping J, Safieddine B, Tetzlaff J, Geyer S (2021). Are Disability Rates among People with Diabetes Increasing in Germany? A Decomposition Analysis of Temporal Change between 2004 and 2015. Journal of Aging and Health 33(3-4):205-216.
Tetzlaff F, Epping J, Golpon H, Tetzlaff J (2020). Compression, expansion, or maybe both? Growing inequalities in lung cancer in Germany. Plos One 2020;15
Tetzlaff F, Epping J, Sperlich S, Tetzlaff J (2020).. Widening income inequalities in life expectancy? Analysing time trends based on German health insurance data. Journal of Epidemiology and Community Health. 2020:jech-2019-212966. doi:10.1136/jech-2019-212966
Epping J, Geyer S, Tetzlaff J (2020). The effects of different lookback periods on the sociodemographic structure of the study population and on the estimation of incidence rates: analyses with German claims data. BMC Medical Research Methodology 20(1).
Safieddine B, Sperlich S, Beller J, Lange K, Epping J, Tetzlaff J, Tetzlaff F, Geyer S. Socioeconomic inequalities in type 2 diabetes in employed individuals, nonworking spouses and pensioners. SSM-Population Health. 2020:100596
Tetzlaff J, Geyer S, Tetzlaff F, Epping J. Income inequalities in stroke incidence and mortality: Trends in stroke-free and stroke-affected life years based on German health insurance data. PloS one. 2020;15(1):e0227541.
Sperlich S, Beller J, Epping J, Tetzlaff J, Geyer S. Trends in self-rated health among the elderly population in Germany from 1995 to 2015 - the influence of temporal change in leisure time physical activity. BMC public health. 2020;20(1):113.
Geyer S, Tetzlaff J, Eberhard S, Sperlich S, Epping J. Health inequalities in terms of myocardial infarction and all-cause mortality: a study with German claims data covering 2006 to 2015. International Journal of Public Health. 2019;64(3):387-97.
Sperlich S, Tetzlaff J, Geyer S. Trends in good self-rated health in Germany between 1995 and 2014: do age and gender matter? International Journal of Public Health. 2019.
Geyer S, Eberhard S, Schmidt BMW, Epping J, Tetzlaff J. Morbidity compression in myocardial infarction 2006 to 2015 in terms of changing rates and age at occurrence: A longitudinal study using claims data from Germany. PloS one. 2018;13(8):e0202631.
Tetzlaff J, Epping J, Sperlich S, Eberhard S, Stahmeyer JT, Geyer S. Widening inequalities in multimorbidity? Time trends among the working population between 2005 and 2015 based on German health insurance data. International Journal for Equity in Health. 2018;17(1):103.
Stahmeyer JT, Geyer S, Epping J, Tetzlaff J, Eberhard S. Gesundheitsausgabenentwicklung und der Einfluss des demografischen Wandels. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz. [Healthcare expenditures and the role of demografic change: An analysis of statutory health insurance data]. 2018;61(4):432-41.
Tetzlaff J, Muschik D, Epping J, Eberhard S, Geyer S. Expansion or compression of multimorbidity? 10-year development of life years spent in multimorbidity based on health insurance claims data of Lower Saxony, Germany. International Journal of Public Health. 2017;62(6):679-86.
Tetzlaff J, Junius-Walker U, Muschik D, Epping J, Eberhard S, Geyer S. Identifying time trends in multimorbidity—defining multimorbidity in times of changing diagnostic practices. Journal of Public Health. 2017;25(2):215-22.
Muschik D, Tetzlaff J, Lange K, Epping J, Eberhard S, Geyer S. Change in life expectancy with type 2 diabetes: a study using claims data from lower Saxony, Germany. Population Health Metrics. 2017;15(1):5.
Muschik D, Icks A, Tetzlaff J, Epping J, Eberhard S, Geyer S. Morbidity compression, morbidity expansion, or dynamic equilibrium? The time trend of AOK-insured patients with type 2 diabetes in Lower Saxony, Germany. Journal of Public Health. 2017;25(1):19-28.