This study aimed to investigate the emotional impact of technology use in an Italian adult population and to detect technophobia. This cross-sectional study was conducted with 117 Italian participants (age range of 50–67 years). Measured variables were computer anxiety and technology use ability. The results revealed technophobia features in the Italian adult population related to inadequate management of technology. One-way analysis of variance and Bonferroni’s post-hoc analysis showed that non-autonomous (p < 0.01), low-frequency (p < 0.01), and feeling-a-need-for-help users (p < 0.01) had higher levels of computer anxiety. Based on our data, although lifelong learning is a powerful digital need, a considerable proportion of the adult population is not digitally skilled, enlarging the gap between young (native digital) and adult (digital and non-digital adults and seniors) populations. Adult inclusivity in digital living is inadequate and likely affects their quality of life. Thus, our findings highlight technophobia as a possible new risk factor for Italian adults because it can affect their daily life through low adherence to digital living; rather than aging successfully, they could develop fragile aging.
BackgroundThe aim of the study was to investigate the posttraumatic stress disorder risk in nurses, detecting the relation-ship between distress experience and personality dimensions in the Italian acute COVID-19 outbreak. The study is an observational study conducted in March 2020.Participants and procedureMental screening was carried out in the Laboratory of Clinical Psychology on N = 36 nurses in the age range 22-64 years (M = 37.30, SD = 12.60). 76.3% were working in nursing care with confirmed COVID-19 patients; 47.4% of nurses worked in a high COVID-19 rate environment, whereas 52.6% worked in a low COVID-19 rate environment.ResultsThe results confirm relation between anxiety and peritraumatic dissociation and posttraumatic stress; also anx-iety is positively correlated with the agreeableness variable. Our finding was obtained in an acute Italian COVID-19 outbreak and measured and quantified the psychological response of nurses in terms of anxiety as an early reaction for emotional distress and high risk for posttraumatic stress disorders; the personality dimen-sions did not mediate the emotional distress or the probable risk for posttraumatic stress disorder. Nurses ap-peared to be exposed to mental distress and needed help.ConclusionsThe results evidenced the need to carry out a mental health program for health workers (especially nursing professionals).
Aim of the study was to analyze the posttraumatic stress disorder risk nurses, detecting the relationship between distress experience and personality dimensions in Italian COVID-19 outbreak. A cross-sectional study was conducted based on 2 data detection (March 2020 and September 2020). Mental evaluation was carried out in Laboratory of Clinical Psychology on n.69 nurses in range age 22–64 years old (mean age 37.3; sd ± 10.3; 55% working in nursing care with confirmed COVID-19 patients (named frontline; secondline nurses have been identified by nursing care working with infectious patients but no confirmed COVID-19). Measurement was focused on symptoms anxiety, personality traits, peritraumatic dissociation and post-traumatic stress for all participants. No online screening was applied. Comparisons (ANOVA test) within the various demographic characteristics demonstrated few significant differences between groups on DASS-21, PDEQ, and ISE-R scores. Correlation analysis (Spearman test) was performed among PDEQ, DASS-21, BFI-10 and IES-R and confirmed between anxiety (DASS-21) and peritraumatic dissociation and post-traumatic stress; then anxiety is positively correlated to agreeableness variable of BFI-10 test. The emotional distress was protracted overtime (after 6 months) but in long-term personality traits resulted mediator facing subjective stress. Our finding drew details for protective and predictive risk factors as well as mental health issues of nurses dealing with pandemic: healthcare workers faced the protracted challenge caring COVID-19 patients over and over again: in short time the impact was relevant, and the prolonged exposition to the stressor was tackled by personal resources such as personality traits.
Digital innovation changed the daily living impacting Quality of Life of individuals. Our study was focused on adult and elder behavioural approach to the technology. Out study aimed to investigate the impact of technology use in not digital native in order to investigate the behavioural degree of adaptation. An observational study was conducted on adult and old subjects (age range 50–67 years) measuring computer anxiety and technology use ability variables identifying the indexes for technophobia risk in digital living. Not digital native subjects and more older ones appeared being influenced by technophobia features because of feeling themselves as inadequate in the management of technology. Oneway ANOVA and then Bonferroni’s post-hoc analysis showed that non-autonomous (p<0.01), low-frequency (p<0.01), and feelingneed- for-help users (p<0.01) had higher levels of computer anxiety. No significant effect was in gender distribution. Finally, social networking seems related better use of technology and lower anxiety for digital solutions. Our findings highlight technophobia as a possible new risk factor for not digital native because it can affect their daily life through lower adherence to digital solutions; rather than aging successfully, they could develop fragile ageing. More, they seemed inadequate to use the digital solutions for better living in aging.
Study design: Retrospective observational study. Objectives: The objective of this study was to determine the rehabilitation potential and the extent to which it is realized in a cohort of spinal cord injury patients using the Spinal Cord Injury-Ability Realization Measurement Index (SCI-ARMI) and to study the clinical factors that influence this realization. Setting: Two spinal units in Italy. Methods: Consecutive patients were assessed at the end of an in-patient rehabilitation program using the Spinal Cord Independence Measure and the International Standards for Neurological Classification of Spinal Cord Injury. On the basis of these data and of the age and gender of the patients, we calculated the SCI-ARMI score. Regression analyses were performed to study the relationship between clinical factors and the extent to which rehabilitation potential is realized. Results: We examined the data for 306 patients. Most patients were discharged without having reached their rehabilitation potential, with an SCI-ARMI score o80%. SCI-ARMI scores at discharge were positively influenced by etiology and the lesion level and correlated negatively with lesion severity and the presence of complications during rehabilitation. Conclusion: The SCI-ARMI is an effective tool that can be used to measure the achievement of rehabilitation potential in SCI patients and to identify groups of patients who are at risk of not meeting their rehabilitative potential.
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