RESUMO
Background: This study assesses the psychometric properties of the Chinese version of the Zimbardo Time Perspective Inventory (C-ZTPI-20) in an adolescent population. Methods: The investigation encompasses a sample of 2634 middle school students from China and aims to evaluate the instrument's reliability, structural validity, measurement invariance, criterion validity, and network structure attributes. Results: First, descriptive analysis revealed satisfactory reliabilities for four out of five C-ZTPI-20 dimensions, with Present Fatalistic (PF) exhibiting relatively low reliability. Moreover, Confirmatory Factor Analysis (CFA) supported the 5-dimensional structure across all samples and sexes, albeit with a modest Tucker-Lewis Index (TLI) for girls. Furthermore, measurement invariance analysis underscores unbiased assessment across sexes. Sex differences emerge in the Present Hedonistic (PH) dimension, where boys showed higher scores. Furthermore, criteria validity analysis revealed that Past Positive (PP) and Future (F) were positively associated with extraversion, agreeableness, conscientiousness, openness, grit, and mental health, while they were negatively associated with neuroticism. Past Negative (PN) and PF showed inverse trends, while PH perspective demonstrated complex, varied correlations with these psychological traits, underscoring the multifaceted nature of time perspectives. Finally, network analysis revealed positive inter-correlations within dimensions and significant edge differences between sexes, particularly in inter-dimension connections. Despite differing rankings, the most central and marginal items remained consistent between boys and girls in network models. Conclusion: These findings contribute to understanding the C-ZTPI-20's effectiveness in assessing adolescent time perspectives and inform interventions promoting psychological well-being and coping strategies.
RESUMO
Background: Cerebral pulsatility is thought to reflect arterial stiffness and downstream microvascular resistance. Although previous studies indicated cerebral pulsatility might closely relate to development of cerebral small vessel disease (SVD), yet evidence remain controversial and longitudinal data are rare. Objective: We aimed to explore relationships of cerebral pulsatility with severity and progression of various SVD imaging markers among the community-dwelling elderly. Design: A longitudinal cohort study. Methods: As part of the prospective community-based Shanghai Aging Study cohort, dementia- and stroke-free elderly were recruited for baseline assessment of cerebral pulsatility and SVD severity during 2010-2011 and traced for SVD progression during 2016-2017. Cerebral pulsatility was quantified for both anterior and posterior circulation with transcranial Doppler ultrasound. SVD imaging markers were measured with brain magnetic resonance imaging (MRI) including white matter hyperintensities (WMHs), enlarged perivascular spaces (ePVS), lacunes, and microbleeds. The cross-sectional and longitudinal relationships between cerebral pulsatility and SVD were analyzed by univariable and multivariable regression models. Results: Totally, 188 eligible subjects were included at baseline and out of them, 100 (53.19%) returned for a 7-year follow-up. At baseline, increased pulsatility of posterior circulation was independently associated with more periventricular WMH (PWMH) and ePVS in basal ganglia (BG-ePVS) but not with other SVD markers. Longitudinally, higher posterior pulsatility predicted greater PWMH progression in participants with hypertension (ß = 2.694, standard error [SE] = 1.112, p = 0.020), whereas pulsatility of anterior circulation was shown to prevent BG-ePVS progression among followed-up elderly (ß = -6.737, SE = 2.685, p = 0.012). However, no significant relationship was found between cerebral pulsatility and burden of lacunes or cerebral microbleeds. Conclusion: Higher pulsatility of posterior circulation could worsen PWMH progression, especially for participants with hypertension. But for development of ePVS, increased cerebral pulsatility could play a compensatory role among several healthy elderly. The distinct relationships between cerebral pulsatility and various SVD markers emphasized the importance of individualized SVD management.