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KLEE Matthias

University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Social Sciences (DSOC) > Socio-Economic Inequality

Main Referenced Co-authors
LEIST, Anja  (15)
WILMES, Paul  (9)
AHO, Velma  (7)
KRÜGER, Rejko  (7)
MAY, Patrick  (7)
Main Referenced Keywords
dementia (4); Mild cognitive impairment (3); depression (2); education (2); Gut microbiome (2);
Main Referenced Unit & Research Centers
Integrative Research Unit: Social and Individual Development (INSIDE) > PEARL Institute for Research on Socio-Economic Inequality (IRSEI) (6)
Luxembourg Centre for Systems Biomedicine (LCSB): Bioinformatics Core (R. Schneider Group) (4)
Luxembourg Centre for Systems Biomedicine (LCSB): Clinical & Experimental Neuroscience (Krüger Group) (4)
Luxembourg Centre for Systems Biomedicine (LCSB): Eco-Systems Biology (Wilmes Group) (4)
LIH - Luxembourg Institute of Health (2)
Main Referenced Disciplines
Public health, health care sciences & services (7)
Microbiology (6)
Neurology (4)
Neurosciences & behavior (4)
Sociology & social sciences (4)

Publications (total 17)

The most downloaded
316 downloads
Leist, A., Klee, M., Paccoud, I., Pauly, L., Ghosh, S., Fritz, J., O Sullivan, M. P., Rommes, B., Wilmes, P., Krüger, R., & CON-VINCE Consortium. (2021). Which demographic and socio-economic factors are associated with vaccination willingness and beliefs towards vaccination? Rapid report with first results. https://hdl.handle.net/10993/48567

The most cited

24 citations (Scopus®)

Leist, A., Klee, M., Kim, J. H., Rehkopf, D., Bordas, S., Muniz-Terrera, G., & Wade, S. (2022). Mapping of machine learning approaches for description, prediction, and causal inference in the social and health sciences. Science Advances, 8, 1942. doi:10.1126/sciadv.abk1942 https://hdl.handle.net/10993/52494

AHO, V., KLEE, M., LANDOULSI, Z., Heintz-Buschart, A., PAVELKA, L., LEIST, A., KRÜGER, R., MAY, P., WILMES, P., & NCER-PD Consortium. (06 April 2024). Gut microbiome is not associated with mild cognitive impairment in Parkinson's disease. NPJ Parkinson's Disease, 10 (1), 78. doi:10.1038/s41531-024-00687-1
Peer Reviewed verified by ORBi

KLEE, M., AHO, V., MAY, P., Heintz-Buschart, A., LANDOULSI, Z., JONSDOTTIR, S., PAULY, C., PAVELKA, L., DELACOUR, L., KAYSEN, A., Krüger, R., WILMES, P., LEIST, A., Acharya, G., Aguayo, G., Alexandre, M., ALI, M., Ammerlann, W., ARENA, G., ... ZELIMKHANOV, G. (2024). Education as Risk Factor of Mild Cognitive Impairment: The Link to the Gut Microbiome. Journal of Prevention of Alzheimer's Disease. doi:10.14283/jpad.2024.19
Peer reviewed

KLEE, M., AHO, V., MAY, P., KRÜGER, R., WILMES, P., & LEIST, A. (2023). EDUCATION AS A RISK FACTOR OF MILD COGNITIVE IMPAIRMENT—THE ROLE OF THE GUT MICROBIOME. Innovation in Aging. doi:10.1093/geroni/igad104.0228
Peer Reviewed verified by ORBi

Klee, M., Aho, V., May, P., Heintz-Buschart, A., Landoulsi, Z., Jonsdottir, S., Pauly, C., Pavelka, L., Delacour, L., Kaysen, A., Krüger, R., Wilmes, P., Leist, A., & NCER-PD Consortium. (November 2023). Education as risk factor of Mild Cognitive Impairment - the role of the gut microbiome. Presentation in symposium: Social determinants of brain health: From the search for mechanisms to recommendations to increase equity [Paper presentation]. Annual Meeting of the Gerontological Society of America.

AHO, V., KLEE, M., LANDOULSI, Z., Heintz-Buschart, A., PAVELKA, L., LEIST, A.* , Krüger, R.* , MAY, P.* , & WILMES, P.*. (2023). Mild cognitive impairment is not associated with gut microbiota alterations in Parkinson’s disease. (v1). ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/57437. doi:10.21203/rs.3.rs-3372525/v1
* These authors have contributed equally to this work.

Klee, M., Aho, V., May, P., Heintz-Buschart, A., Landoulsi, Z., Jonsdottir, S., Pauly, C., Pavelka, L., Delacour, L., Kaysen, A., Krüger, R., Wilmes, P., Leist, A., & NCER-PD Consortium, (Other coll.). (July 2023). Education as risk factor of Mild Cognitive Impairment - the role of the gut microbiome [Poster presentation]. Alzheimer’s Association (AAIC) Conference.

Zuber, S., Bechtiger, L., Bodelet, J. S., Golin, M., Heumann, J., KIM, J. H., KLEE, M., MUR, J., Noll, J., Voll, S., O'Keefe, P., Steinhoff, A., Zölitz, U., Muniz-Terrera, G., Shanahan, L., Shanahan, M. J., & Hofer, S. M. (July 2023). An integrative approach for the analysis of risk and health across the life course: challenges, innovations, and opportunities for life course research. Discover social science and health, 3 (1), 14. doi:10.1007/s44155-023-00044-2
Peer reviewed

KLEE, M., Bodelet, J., & Muniz-Terrera, G. (July 2023). Investigating the Role of the Accumulation of Depressive Symptoms for the Risk of Dementia [Poster presentation]. Alzheimer's Association International Conference, Amsterdam, Netherlands.
Editorial reviewed

Klee, M., Leist, A., Veldsman, M., Ranson, J. M., & Llewellyn, D. J. (2023). Socioeconomic Deprivation, Genetic Risk, and Incident Dementia. American Journal of Preventive Medicine. doi:10.1016/j.amepre.2023.01.012
Peer Reviewed verified by ORBi

KLEE, M., Langa, K. M., & LEIST, A. (March 2023). Adapted Langa-Weir probable dementia classification outperforms other algorithms in 26 European countries without clinical dementia assessments [Poster presentation]. Alzheimer's Research UK Conference 2023, Aberdeen, United Kingdom.
Editorial reviewed

Klee, M., Aho, V., May, P., Krüger, R., Wilmes, P., Leist, A., & NCER-PD Consortium (Other coll.). (January 2023). Education as risk factor of Mild Cognitive Impairment - the role of the gut microbiome [Poster presentation]. Conference Precision Medicine in Parkinson’s: Past lessons and conquering new frontiers.

Klee, M., Langa, K. M., & Leist, A. (07 July 2022). Country-level Variation of Dementia Prevalence in Europe - Comparing OECD and SHARE Data [Paper presentation]. Munich Center for the Economics of Aging (MEA) Seminar, Munich, Germany.

Pauly, L., Klee, M., Paccoud, I., Satagopam, V., Ghosh, S., Fritz, J., O'Sullivan, M., Wilmes, P., Krüger, R., & Leist, A. (April 2022). Individual factors and beliefs determining COVID-19 vaccination willingness [Poster presentation]. ECCMID 2022.

Leist, A., Klee, M., Kim, J. H., Rehkopf, D., Bordas, S., Muniz-Terrera, G., & Wade, S. (2022). Mapping of machine learning approaches for description, prediction, and causal inference in the social and health sciences. Science Advances, 8, 1942. doi:10.1126/sciadv.abk1942
Peer Reviewed verified by ORBi

Leist, A., Klee, M., Paccoud, I., Pauly, L., Ghosh, S., Fritz, J., O Sullivan, M. P., Rommes, B., Wilmes, P., Krüger, R., & CON-VINCE Consortium. (2021). Which demographic and socio-economic factors are associated with vaccination willingness and beliefs towards vaccination? Rapid report with first results.

Klee, M., & Leist, A. (July 2021). Investigating the associations of trajectories of depressive symptoms and self-perceived health and incident dementia : an unsupervised machine learning approach [Poster presentation]. Alzheimer's Association International Conference.

Leist, A., Klee, M., Kim, J. H., Rehkopf, D., Bordas, S., Muniz-Terrera, G., & Wade, S. (2021). Machine learning in the social and health sciences. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/47733.

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