Increased prevalence of premature ejaculation in men with metabolic syndrome

This prospective study aimed to investigate the relationship between metabolic syndrome (Met S) and premature ejaculation (PE) among men. The study included 300 consecutive male patients (53.6 y?±?8.7) who attended the urology clinic (December 2013–September 2014), mostly complaining of renal/ureteric calculi. A diagnostic approach was undertaken to include demographics, clinical features and laboratory investigations of the study subjects. Both erectile function and PE were evaluated using the International Index of Erectile Function (abridged form, IIEF-5) and Premature Ejaculation Diagnostic Tool (PEDT) questionnaires, respectively. Results identified 182 (60.7%) men had Met S. Prevalence of PE was significantly higher in the subjects with Met S than the controls (35.2% vs 7.6%, p?< 0.001). Patients with Met S and PE had significantly higher PEDT scores (15.4 vs 6.7), smaller waist circumference (108.3?cm vs 111.5?cm) and higher fasting blood sugar (187?mg% vs 161?mg%) than those with no PE (p?p?=?0.047 and <0.001, respectively) with PE in Met S. In conclusion, PE has a high prevalence in Met S. Patients with Met S should be questioned about PE. Both ED and systolic hypertension may be associated with PE. Prevention of Met S should be considered, and this may be of help to decrease the prevalence of PE.     

Multitrait-multimethod change modelling

Geiser (Multitrait-multimethod-multioccasion modeling, 2009) recently presented the Correlated State-Correlated (Methods-Minus-1) [CS-C(M−1)] model for analysing longitudinal multitrait-multimethod (MTMM) data. In the present article, the authors discuss the extension of the CS-C(M−1) model to a model that includes latent difference variables, called CS-C(M−1) change model. The CS-C(M−1) change model allows investigators to study inter-individual differences in intra-individual change over time, to separate true change from random measurement error, and to analyse change simultaneously for different methods. Change in a reference method can be contrasted with change in other methods to analyse convergent validity of change.     

Gender effects for loss aversion: Yes,no, maybe?

Journal of Risk and Uncertainty - Gender effects in risk taking have attracted much attention by economists, and remain debated. Loss aversion—the stylized finding that a given loss carries...     

Piecewise deterministic Markov processes applied to fatigue crack growth modelling

In this paper, we use a particular piecewise deterministic Markov process (PDMP) to model the evolution of a degradation mechanism that may arise in various structural components, namely, the fatigue crack growth. We first derive some probability results on the stochastic dynamics with the help of Markov renewal theory: a closed-form solution for the transition function of the PDMP is given. Then, we investigate some methods to estimate the parameters of the dynamical system, involving Bogolyubov's averaging principle and maximum likelihood estimation for the infinitesimal generator of the underlying jump Markov process. Numerical applications on a real crack data set are given.     

Längsschnittdaten und Mehrebenenanalyse

In the present article a few basic multilevel models for longitudinal data are introduced and applied to the Household Income and Labor Dynamics in Australia Survey 10 (HILDA) for demonstrational purposes. The covered models are adaptions of the random-intercept-only model, the random-intercept models and the random- intercept random-slope model with and without level-1 and level-2 predictors to longitudinal data. The modeling of contextual effects is covered. One particularity in longitudinal data is the fact that persons (level-2) may be regarded as the context of the time-varying observations on level-1. To incorporate the macro-level of sociology, it is necessary to expand the model to a third level. A model with three levels is introduced and in addition a simple growth curve model and a multivariate multilevel model are presented.     

Global Judgments of Subjective Well-Being: Situational Variability and Long-Term Stability

Subjective well-being (SWB) is an important indicator of quality oflife. SWB can be conceptualized as a momentary state (e.g., mood) aswell as a relatively stable trait (e.g., life satisfaction). Thevalidity of self-reported trait aspects of SWB has been questioned byexperimental studies showing that SWB judgments seem to be stronglycontext dependent. Particularly, momentary mood seems to have a stronginfluence on global SWB judgments. To explore the ecological validity ofthese conclusions a non-experimental longitudinal self-reportstudy with three occasions of measurement was conducted(N = 249). The associations between momentarymood ratings and global judgments of SWB (life satisfaction,satisfaction with life domains, frequency and intensity of emotions) aswell as personality ratings (self-esteem, optimism, neuroticism,extraversion) were analyzed in a multistate-multitrait-multiconstructmodel. This model takes (a) measurement error, (b) occasion-specificdeviations, and (c) stable interindividual differences into account. Itis shown that the variability in global SWB judgments and personalityratings is relatively small and much smaller than the variability inmood. Furthermore, the occasion-specific associations between moodstates, on the one hand, and global SWB and personality ratings, on theother hand, are relatively small and inconsistent. All global SWB andpersonality variables are more strongly related to mood on the traitlevel than on the occasion-specific deviation level. Therefore, incontrast to experimental studies, occasion-specific mood effects do notseem to be inherently important in ecological measurement settings.