Best Items Designed for TRIB1

Respondents not willing to participate in GTI were labeled ��GTI-no��; those willing to participate were labeled ��GTI-yes.�� Disease-specific characteristics were derived from respondents' medical records. Descriptive statistics were used to examine respondents' characteristics and willingness to participate in GTI. Mann�CWhitney U-tests (two sided) and chi-square tests (two sided) were conducted to examine differences between ��GTI-yes�� and ��GTI-no.�� Logistic regression analyses (method backward: likelihood ratio [LR]) were used to identify variables that predicted willingness to participate in GTI. All analyses were performed with SPSS (SPSS Statistics for Windows, Version 17.0. Chicago, IL, USA); P Ibrutinib in vivo GUCH who are invited to participate in our study returned completed questionnaires. Characteristics of the study sample are presented in Table?1. Of the 116 respondents, 93 (80%) were interested in improving their physical fitness and 23 (20%) were not. The main reasons for not being interested were satisfied with current physical fitness (43%) and lack of time (38%). TRIB1 Patients could be interested in improving their physical fitness but not willing to participate in GTI. In total, 68 respondents (59%) were willing to participate in GTI (��GTI-yes��) and 48 (41%) were not (��GTI-no��) (Figure?1). GTI-no patients were more physically active, had better perceived physical fitness, were more satisfied with their fitness level, were less motivated to be(come) physically active in general, and perceived less social support than GTI-yes patients (Table?1). There were no significant differences in other characteristics (Table?1). To determine which determinants predict willingness to participate in GTI, logistic regression analyses were performed (method backward: LR) with the variables moderate-vigorous physical activity, perceived physical mTOR inhibitor fitness, satisfaction with physical fitness, motivation for physical activity in general, and positive social support entered as independent variables. The best model included perceived physical fitness and motivation for physical activity in general: According to the model, the log odds of a patient willing to participate in GTI was negatively related to perceived physical fitness (P