AIM: This integrative review aims to identify negative emotional experiences during older adult years.
METHODS: This review of articles from Medline, CINAHL, Science Direct, Web of Science, ProQuest, and Taylor and Francis synthesized negative emotional experiences during older adult years. Across these six electronic databases, we searched and identified 17 relevant articles from 2005 to 2020 containing quantitative, qualitative, and mixed-method studies.
RESULTS: Based on the review, we identified five negative emotions (sadness, anxiety, frustration, anger, and loneliness). These negative emotions were rooted in marital problems, separation from families, medical problems, physical functioning and disability, and financial limitations. Additionally, we identified common antecedents of negative emotions.
CONCLUSION: At the center of numerous interventions, older adults are reinvigorated to understand the antecedents of negative emotions. The complex array of emotions, specifically regrets and frustration in later life, is depicted by more negativity than positivity. Such array of emotions could help develop strategies to prevent the causes of regret and frustration that nurses see when working with older adults in a clinical practice setting.
METHOD: Terms of "Vortioxetine" OR "LuAA21004" AND "anxiety" OR "fear" OR "panic" OR "phobia" were searched. A total of two phase II and five phase III clinical trials were found.
RESULTS: Vortioxetine was overall superior to placebo in terms of the mean change from baseline in HAM-A total score at week 8 with the pool effect size of -2.95, 95% CIs, -4.37 to -1.53, p<0.01. The patients who received 5 mg of Vortioxetine had higher response rate when compared to placebo (pooled odds ratio=1.4, 95% CI = 1.08 to 1.82, p=0.01). However, the pooled odds ratio of the HAMA remission rate was not statistically significant for both Vortioxetine and placebo (pooled odds ratio= 1.06, 95% CI = 0.86 to 1.30, p=0.62). Although the discontinuation due to adverse effects was higher in Vortioxetine than placebo group (pooled OR= 1.55, 95% CI = 1.04 to 2.31, P= 0.037), the lack of efficacy (pooled OR= 0.39, 95% CI = 0.27 to 0.57, P<0.01) was higher in placebo than Vortioxetine group. Most of the adverse effects were mild and moderate. Overall, Vortioxetine displayed a good safety and tolerability profile.
CONCLUSION: This review supports the use of Vortioxetine for anxiety disorder. However, further longterm placebo-control observational study or a post market survey would help in strengthening the evidence for this treatment modality.
MATERIALS AND METHODS: This was a cross-sectional study conducted from July 2020 till August 2021 in a regional state hospital, north of Malaysia. All patients requiring hospitalization for COVID-19 were approached within the first 2 weeks after admission to administer the Depression, Anxiety and Stress Scale - 21 Items (DASS-21) scale. Follow-up phone calls were made within 3 months of discharged to enquire about the DASS-21 items as well as the Impact of Event Scale-Revised (IES-R) scale items. Participants above the age of 18 and technology savvy to answer an online questionnaire were recruited for the study. We excluded participants with a known history of psychotic disorder from the study. We utilised the DASS-21 to screen for depression, anxiety, and stress, as well as the IES-R to identify symptoms of post-traumatic stress disorder. Participants could answer the questionnaires in either English or Bahasa Malaysia. For comparison of two categorical data, a chi-square was applied. A univariate analysis was first conducted and all variables with a p ≤0.3 was then entered into the multivariate analysis for the final output. Other than the univariate analysis, all other p values <0.05 were considered to be statistically significant. All data collected were tabulated and analysed in the SPSS v21.0 system.
RESULTS: A total of 306 out of 696 COVID-19 patients responded. The mean age for the participants was 31.69 (SD:11.19) years old. From the total, 54.2% were ladies, 78.8% were Malay, 50.7% were unmarried, 55.2% had higher education, and 67.6% were employed at the time of the survey. We found 20.5% of the participants were depressed, 38.9% had moderate anxiety, and 17.3% were stressed. From the total, 31.7% of the participants were deemed to have had some symptoms of post-traumatic stress disorder (PTSD) ranging from mild to severe. From the final multivariate analysis, it was found that depression (p=0.02) had a 2.78 times likeliness of having PTSD, anxiety (p<0.001) had a 3.35 times likeliness of having PTSD and stressed patients (p=0.02) 2.86 times likeliness of having PTSD when compared to those without PTSD.
CONCLUSION: Patients reported to suffer from symptoms of PTSD and might benefit from psychological interventions to mitigate the impact in the long run.
BACKGROUND: Smartphones have become indispensable tools for students. However, excessive use can lead to smartphone addiction, causing physiological, psychological and social harm. Nursing students represent a unique population whose smartphone use may differ from other disciplines due to clinical training demands.
METHODS: A scoping review was conducted following the Arksey and O'Malley framework. Seven databases were systematically searched from inception to August 2023. Inclusion criteria encompassed original research on smartphone addiction, harms and risks among nursing students. Data were extracted and thematically synthesized.
RESULTS: Studies (n=39) met inclusion criteria, representing 15 countries. Rates of smartphone addiction among nursing students ranged from 19% to 72%, averaging 40-50%. Incorporated into Engel's biopsychosocial models, the harm is emphasized across individual inclinations, emotional aspects, cognitive processes and executive functions. Physiological harms include sleep disruption, vision concerns,other physiological concerns. psychologically, addiction correlated with increased anxiety and depression,decline in self-esteem, learning and attention and other psychological concerns. socially, it encompasses harms such as interpersonal relationships challenges, career development and decline in social abilities. The I-PACE model identifies various risk factors for smartphone addiction among nursing students, including personal factors such as interpersonal relationship anxiety and perceived academic pressure, affective factors like high stress and learning burnout, cognitive factors such as the need for online social interaction and low perception of social support, as well as executive factors like extended usage duration, poor self-control and usage before sleep.
CONCLUSION: Smartphone addiction among nursing students presents tangible harms. A proposed theoretical model integrating established frameworks provides avenues to better comprehend addiction genesis and potential intervention strategies. Given addiction's multi-factorial nature, future research investigating harm mitigation through optimizing predisposing, precipitating and perpetuating factors is warranted.