Search

Abstract Background Self-rated physical health (SRPH) is known as an important predictor of mortality. Previous studies mostly used baseline values of self-rated health to predict long-term mortality. The effect of change in self-rated physical health on mortality during the course of aging has rarely been researched. The present study aimed to determine SRPH over time in women and men of an aging population, assess whether and how change in SRPH affects mortality while adjusting for known determinants of mortality, and test effect modification by sex on the relation between course of SRPH and mortality. Methods Data of N = 12,423 respondents of the 5-year follow-up of the Gutenberg Health Study (GHS) with participation at the baseline assessment were analysed. All-cause mortality from 5-year follow-up onwards was defined as the primary outcome. SRPH was assessed by a single item. Cox proportional hazards models with adjustment for age, sex, socio-economic status and physical diseases were fitted to assess the predictive power of baseline score and course of SRPH. Additionally, effect modification by sex was assessed. Results During a median follow-up period of 7.3 years (quartiles 6.0-8.5 years), 618 (5%) participants died. Overall, 70.9% of the participants indicated good or very good SRPH at baseline (T1) and follow-up (T2), 6.9% rated their SRPH as not so good at T1 and T2, and 0.6% reported bad SRPH at T1 and T2. An improvement of SRPH was indicated by 9.6% and 12.0% indicated deterioration of their SRPH. Change in SRPH added substantial predictive information to the Cox proportional hazards models, when adjusting for relevant covariates. In men, deterioration and constantly bad SRPH were associated with the strongest increase in risk of mortality by 87%, resp. 228%. While improvements increased mortality risk in men (67%), women with an improved SRPH had a lower risk (57%). Conclusion A sizeable subgroup of aging participants reported deterioration of SRPH over five years. The association between change of SRPH and mortality is modified by sex. Deterioration of SRPH predicts mortality over baseline-assessment even when adjusted for relevant covariates. SRPH should be assessed regularly as part of an older individual’s health evaluation. Deterioration, constantly bad and improved SRPH should be taken seriously as unfavorable prognostic indicators, the latter only in men.

Abstract Background Depression is associated with an increased risk for type 2 diabetes mellitus. However, depression may take different courses, and it is not fully understood how these affect the development of diabetes. It is further to be determined whether sex modifies the association between depression and type 2 diabetes. Methods We analyzed data from the Gutenberg Health Study, a longitudinal and population-based cohort study (N = 15,010) in Germany. Depressive symptoms (measured by PHQ-9), history of depression, diabetes mellitus, and relevant covariates were assessed at baseline, and the outcomes of prediabetes and type 2 diabetes mellitus were evaluated 5 years later. Logistic regression was used to estimate odds ratios of incident prediabetes and type 2 diabetes mellitus, adjusting for potential confounders as identified in a Directed Acyclic Graph. Results In the confounder adjusted model, current depression (PHQ-9 ≥ 10 at baseline; OR = 1.79, 95% CI = 1.11 to 2.74, p = 0.011), and persistent depression had a statistically significant (OR = 2.44, 95% CI = 1.62 to 3.54, p = 0.005) effect on incident type 2 diabetes mellitus. A history of depression without current depression had no statistically significant effect on type 2 diabetes (OR = 1.00, 95% CI = 0.68 to 1.43, p = 0.999). The effect of depression on incident diabetes did not differ significantly between women (OR = 2.02; 95% CI = 1.32 to 3.09) and men (OR = 2.16; 95% CI = 1.41 to 3.31; p-value for interaction on the multiplicative scale p = 0.832 and on the additive scale p = 0.149). Depression did not have a significant effect on incident prediabetes. Conclusion This study shows how the history and trajectory of depression shape the risk for diabetes. This raises interesting questions on the cumulative effects of depression trajectories on diabetes and body metabolism in general. Depression can negatively affect physical health, contributing to increased morbidity and mortality in people with mental disorders.

Abstract Previous studies on self-rated health and mortality have usually not differentiated between physical and mental health, respectively have not considered physical diseases. This study aims to determine self-rated physical and mental health from middle to old age, examine associations with mortality adjusted for objective risk factors and assess effect modification by gender. In a large population-based sample (N = 14,993 at baseline), self-rated physical and mental health were rated separately by a single-item. Associations to mortality were modelled by Cox regressions, adjusting for potential confounding variables. Most participants rated their physical (79.4%), resp. mental health (82.3%) as good. Poor self-rated physical health was lowest in the youngest group (19.6%, age 35–44), and highest in midlife (29.1%, age 55–64). Poor self-rated mental health was lowest among the oldest (18.5%), and highest from 45 to 54 years (29.3%). Poor self-rated physical, but not mental health was predictive of mortality when adjusting for objective risk factors. Male gender and poor self-rated physical health interacted (RERI 0.43 95%-CI 0.02–0.85). Self-rated physical health was best in the youngest and worst in the midlife group, this pattern was reversed regarding self-rated mental health. Poor self-rated physical, but not mental health was predictive of mortality, adjusting for objective risk factors. It was more strongly predictive of mortality in men than in women. Poor subjective physical health ratings, should be taken seriously as an unfavorable prognostic sign, particularly in men.

Right-wing extremism and authoritarianism have been identified as major, if not the major threats to democracy in recent years. The rise of right-wing extremist and populist parties in many democratic countries throughout the world has renewed the interest in identifying the roots and determinants of these anti-democratic attitudes. Even though factors on many levels of analysis (macro-, meso- and micro-level) have been taken into consideration as possible sources of the development of these kinds of positions, the relationship of interpersonal trust with both right-wing extremism and authoritarianism has yet to be systematically examined. The aim of the current study was to shed light on the connection between these constructs by analyzing data from a German representative study conducted in 2018 (N = 2,416). Multiple linear regression found interpersonal trust to reliably predict all facets of right-wing extremism and authoritarianism included in the study, even when controlling for standard socioeconomic factors (e.g. age, gender, education, income). The lack of interpersonal trust may thus be seen as a major contributing factor to right-wing extremist and authoritarian attitudes. As such, it should be included in future studies about this topic and the nature of the revealed connection should be further examined.

Abstract Background Oral anticoagulants can cause potentially serious adverse events. Therefore, before prescribing oral anticoagulants for ischemic stroke prevention in patients with atrial fibrillation (AF), stroke risk assessment is required to identify patients that are likely to benefit from treatment. Current guidelines recommend the CHA2DS2-VASc-score for stroke risk assessment. The CHA2DS2-VASc-score is based on observational studies from different treatment settings and countries. As ischemic stroke risk differs by setting and region, the aim of this study is to estimate ischemic stroke risk (stratified by the CHA2DS2-VASc-score) for a broadly representative population with AF from southern Germany and compare them to results from previous studies. Methods The study design is a retrospective cohort study on patients with atrial fibrillation based on secondary data. We calculated CHA2DS2-VASc-score based on patient’s diagnoses recorded in the year 2014 and assessed outcomes in 2015–2016. The primary outcome is hospitalization for ischemic stroke. The secondary outome is hospitalizations for any thromboembolic event, including ischemic stroke, transient ischemic attack, peripheral arterial embolism, pulmonary embolism, and mesenterial embolism. We estimated the incidence rates of the outcomes (and corresponding 95%-confidence intervals) stratified by CHA2DS2-VASc-score. Results The primary endpoint occurred in 961 of the 30,299 patients constituting the study population, resulting in a total incidence rate of 2.2 per 100 person-years. The secondary endpoint occurred in 1553 patients (3.6 per 100 person-years). Ischemic stroke rates stratified by the CHA2DS2-VASc-score tended to be lower than those reported previously. Thromboembolic event rates stratified tended to be similar to those reported previously. Conclusions Our results show that the performance of the CHA2DS2-VASc-score differs in the German population, as compared to internationally published data, with an overall trend towards lower risk of ischemic stroke in uncoagulated patients with AF. These results should not be practice changing, but they emphasize that stroke risk estimation in patients with atrial fibrillation should be further refined.