TY  - JOUR
AB  - Objective: To determine the association between personality characteristics and use of different cancer screenings. Methods: We used data from the German National Cohort (NAKO; mean age was 53.0 years (SD: 9.2 years)) – a population-based cohort study. A total of 132,298 individuals were included in the analyses. As outcome measures, we used (self-reported): stool examination for blood (haemoccult test, early detection of bowel cancer), colonoscopy (screening for colorectal cancer), skin examination for moles (early detection of skin cancer), breast palpation by a doctor (early detection of breast cancer), x-ray examination of the breast (“mammography”, early detection of breast cancer), cervical smear test, finger examination of the rectum (early detection of prostate cancer), and blood test for prostate cancer (determination of Prostate-Specific Antigen level). The established Big Five Inventory-SOEP was used to quantify personality factors. It was adjusted for several covariates based on the Andersen model. Unadjusted and adjusted multiple logistic regressions were computed. Results: A higher probability of having a skin examination for moles, for example, was associated with a higher conscientiousness (OR: 1.07, p < 0.001), higher extraversion (OR: 1.03, p < 0.001), higher agreeableness (OR: 1.02, p < 0.001), lower openness to experience (OR: 0.98, p < 0.001) and higher neuroticism (OR: 1.07, p < 0.001) among the total sample. Depending on the outcome used, the associations slightly varied. Conclusions: Particularly higher levels of extraversion, neuroticism and conscientiousness are associated with the use of different cancer screenings. Such knowledge may help to better understand non-participation in cancer screening examinations from a psychological perspective.
AU  - Hajek, A.*
AU  - Becher, H.*
AU  - Brenner, H.*
AU  - Holleczek, B.*
AU  - Katzke, V.*
AU  - Kaaks, R.*
AU  - Minnerup, H.*
AU  - Karch, A.*
AU  - Baurecht, H.*
AU  - Leitzmann, M.*
AU  - Peters, A.
AU  - Gastell, S.*
AU  - Ahrens, W.*
AU  - Haug, U.*
AU  - Nimptsch, K.*
AU  - Pischon, T.*
AU  - Michels, K.B.*
AU  - Dorrn, A.*
AU  - Klett-Tammen, C.J.*
AU  - Castell, S.*
AU  - Willich, S.N.*
AU  - Keil, T.*
AU  - Schipf, S.*
AU  - Meinke-Franze, C.*
AU  - Harth, V.*
AU  - Obi, N.*
AU  - König, H.H.*
C1  - 70319
C2  - 55238
CY  - Radarweg 29, 1043 Nx Amsterdam, Netherlands
TI  - Personality and the use of cancer screenings - Results of the German National Cohort.
JO  - Prev. Med. Rep.
VL  - 41
PB  - Elsevier
PY  - 2024
SN  - 2211-3355
ER  - 

TY  - JOUR
AB  - To assess whether anthropometric measures (body mass index [BMI], waist-hip ratio [WHR], and estimated fat mass [EFM]) are independently associated with major adverse cardiovascular events (MACE), and to assess their added prognostic value compared with serum total-cholesterol. The study population comprised 109,509 individuals (53% men) from the MORGAM-Project, aged 19–97 years, without established cardiovascular disease, and not on antihypertensive treatment. While BMI was reported in all, WHR and EFM were reported in ∼52,000 participants. Prognostic importance of anthropometric measurements and total-cholesterol was evaluated using adjusted Cox proportional-hazards regression, logistic regression, area under the receiver-operating-characteristic curve (AUCROC), and net reclassification improvement (NRI). The primary endpoint was MACE, a composite of stroke, myocardial infarction, or death from coronary heart disease. Age interacted significantly with anthropometric measures and total-cholesterol on MACE (P ≤ 0.003), and therefore age-stratified analyses (<50 versus ≥ 50 years) were performed. BMI, WHR, EFM, and total-cholesterol were independently associated with MACE (P ≤ 0.003) and resulted in significantly positive NRI when added to age, sex, smoking status, and systolic blood pressure. Only total-cholesterol increased discrimination ability (AUCROC difference; P < 0.001). In subjects < 50 years, the prediction model with total-cholesterol was superior to the model including BMI, but not superior to models containing WHR or EFM, while in those ≥ 50 years, the model with total-cholesterol was superior to all models containing anthropometric variables, whether assessed individually or combined. We found a potential role for replacing total-cholesterol with anthropometric measures for MACE-prediction among individuals < 50 years when laboratory measurements are unavailable, but not among those ≥ 50 years.
AU  - Rosberg, V.*
AU  - Vishram-Nielsen, J.K.K.*
AU  - Kristensen, A.M.D.*
AU  - Pareek, M.*
AU  - Sehested, T.S.G.*
AU  - Nilsson, P.M.*
AU  - Linneberg, A.*
AU  - Palmieri, L.*
AU  - Giampaoli, S.*
AU  - Donfrancesco, C.*
AU  - Kee, F.*
AU  - Mancia, G.*
AU  - Cesana, G.*
AU  - Veronesi, G.*
AU  - Grassi, G.*
AU  - Kuulasmaa, K.*
AU  - Salomaa, V.*
AU  - Palosaari, T.*
AU  - Sans, S.*
AU  - Ferrieres, J.*
AU  - Dallongeville, J.*
AU  - Söderberg, S.*
AU  - Moitry, M.*
AU  - Drygas, W.*
AU  - Tamosiunas, A.*
AU  - Peters, A.
AU  - Brenner, H.*
AU  - Schöttker, B.*
AU  - Grimsgaard, S.*
AU  - Biering-Sørensen, T.*
AU  - Olsen, M.H.*
C1  - 64219
C2  - 52000
TI  - Simple cardiovascular risk stratification by replacing total serum cholesterol with anthropometric measures: The MORGAM prospective cohort project.
JO  - Prev. Med. Rep.
VL  - 26
PY  - 2022
SN  - 2211-3355
ER  -