[Purpose] The aim of this study was to determine the reference values for the chair stand test (CST) in healthy older Japanese people. [Methods] Relevant research articles for the 5-repetition chair stand test (CS-5) and the 30-second chair stand test (CS-30) were identified by electronic database and manual searching. Research articles involving healthy Japanese people aged 60 years and older ...

Background and Objectives Relatively little research investigated whether experiences during young adulthood have long-lasting consequences for older age loneliness. This article examines whether deviations from culturally based scripts regarding family transitions represent risk factors for later-life loneliness. Moreover, it analyzes whether and in which conditions long-term associations betw...

OBJECTIVE To quantify the relative risk reductions achieved with different regimens to lower blood pressure in younger and older adults. DESIGN Meta-analyses and meta-regression analyses used to compare the effects on the primary outcome between two age groups (<65 v > or =65 years). Evidence for an interaction between age and the effects of treatment sought by fitting age as a continuous var...

Recent work has shown the efficiency of deep learning models such as Fully Convolutional Networks (FCN) or Recurrent Neural (RNN) to deal with Time Series Regression (TSR) problems. These sometimes need a lot data be able generalize, yet time series are not long enough learn patterns. Therefore, it is important make use information across improve learning. In this paper, we will explore idea us...

OBJECTIVES Instead of evaluating one risk factor at a time, we illustrate the utility of "field-wide meta-analyses" in considering all available data on all putative risk factors of a disease simultaneously. STUDY DESIGN AND SETTING We identified studies on putative risk factors of pterygium (surfer's eye) in PubMed, EMBASE, and Web of Science. We mapped which factors were considered, reporte...

BACKGROUND Meta-regression is becoming increasingly used to model study level covariate effects. However this type of statistical analysis presents many difficulties and challenges. Here two methods for calculating confidence intervals for the magnitude of the residual between-study variance in random effects meta-regression models are developed. A further suggestion for calculating credible in...

BACKGROUND In meta-regression, as the number of trials in the analyses decreases, the risk of false positives or false negatives increases. This is partly due to the assumption of normality that may not hold in small samples. Creation of a distribution from the observed trials using permutation methods to calculate P values may allow for less spurious findings. Permutation has not been empirica...