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.
METHODS: To fill this gap, electronic databases including PubMed, Scopus, Science Direct, Sagepub, CINAHL, Psychology, and Behavioral Sciences Collection were searched for relevant studies. A total of 16 studies were included in the systematic review.
RESULTS: The analyses showed that the prevalence of depression, anxiety, and stress ranged from 14.3% to 81.7%, 8.0% to 81.7%, and 0.9% to 56.5% respectively. Adult populations demonstrated the highest prevalence of depression, whereas university students reported the highest prevalence of anxiety and stress. Several factors were associated with mental health conditions including age, gender, family income, and perception of COVID-19.
CONCLUSION: Differentials in mental health screening practices call for standardised screening practices. Mental health intervention should be targeted at high-risk populations with effective risk communication.
METHODS: Data of 7068 participants (4418 Malays, 2080 Chinese and 570 Indians) aged ≥55 years that were collected as part of the community health survey conducted in 2013 in the South East Asia Community Observatory (SEACO) were analyzed using bivariate and multiple regressions. Analyses were stratified by ethnicity.
RESULTS: The importance of having an enriched religious/spiritual life was associated with higher scores of depression, anxiety and stress among Chinese and higher score of depression among Malays, while belief in a higher power was associated with better mental health among Malays, Chinese and Indians.
CONCLUSION: The current study showed that there were ethnic variations in the associations between religion and mental health, and the associations depended on the religious variable included in the analysis. The findings of this study showed that religion could be another potential channel to improve mental health among older adults by accommodating and understanding their religious beliefs.
METHODS: We first reviewed the literature on the major types, severity, prevalence, and duration of suffering associated with cervical cancer. We then conducted a modified Delphi process with experts in cervical cancer care to supplement the literature. For each type of suffering, we distinguished between decedents (those who die from cervical cancer in a given year) and nondecedents (those who have cervical cancer in a given year but do not die). By applying the suffering prevalence and duration estimates to the number of decedents, nondecedents, and family caregivers in 2017, we were able to estimate their palliative care needs and the intensity of palliative care needed to respond adequately to this suffering.
RESULTS: There is a high prevalence among decedents of moderate or severe pain (84%), vaginal discharge (66%), vaginal bleeding (61%), and loss of faith (31%). Among both decedents and nondecedents, there is a high prevalence of clinically significant anxiety (63% and 50%, respectively), depressed mood (52% and 38%, respectively), and sexual dysfunction (87% and 83%, respectively). Moderate or severe financial distress is prevalent among decedents, nondecedents, and family caregivers (84%, 74%, and 66%, respectively). More than 40% of decedents and nondecedents are abandoned by their intimate partners. Most patients experience some combination of moderate or severe physical, psychological, social, and spiritual suffering. In total, 258,649 decedents and 2,558,857 nondecedents needed palliative care in 2017, approximately 85% of whom were in low- and middle-income countries where palliative care is rarely accessible.
CONCLUSION: Among women with advanced cervical cancer, suffering is highly prevalent and often severe and multifaceted.
METHODS: This cross-sectional study was conducted between August 2020 and January 2021, in the Infectious Disease clinic and ward. One hundred ninety-one patients were recruited via convenience sampling. Patients' sociodemographic were obtained, followed by Depression, Anxiety, Stress Scale -21 (DASS-21), Multidimensional Scale of Perceived Social Support (MSPSS), and M.I.N.I. international neuropsychiatric interview (M.I.N.I.) The cut off DASS-21 point for depression is ≥5, for anxiety, ≥ 4. Mann-Whitney U and Chi square test were used to analyse the association between variables, and logistic regression to find predictability.
RESULTS: Of the 191 participants, 89.5% outpatient, mean age 40 years (SD 0.742), 91.1% male, 65.4% single, 71.2% working, 46.1% Malaysian Chinese, 59.8% non- heterosexual, mean 6 years of being HIV positive; mean CD4 count 449/μL; mean viral load 116,690 (median = 20). 85.9% were taking antiretroviral therapy. The prevalence of depression was 35.1% (n = 67); anxiety was 42.9% (n = 82). Regression analysis revealed anxiety and stress increased odds of depression by 3.8 times (p = .001) and 12 times (p < .001) respectively. Those 40 years old and younger had 2.3 times odds of anxiety (p = .048). Increased social support from friends increased odds of anxiety by 1.7 times (p = .018). Depression and stress increased odds of anxiety by 4.4 times (p = .001) and 3.7 times (p = .008) respectively.
CONCLUSIONS: Depression and anxiety among people with HIV is often under-recognised. Early identification and treatment of the mental illness is warranted. Screening with DASS-21 is useful to detect depression in patients with HIV.
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.
METHODS: A web-based survey in 13 languages was conducted among non-Japanese residents living in Japan during the COVID-19 situation. The State-Trait Anxiety Inventory assessed the level of anxiety-State (STAI-S) scores prorated from its six-item version. The multivariable logistic regression using the Akaike Information Criterion (AIC) method was performed to identify the associated factors of anxiety among participants.
RESULTS: From January to March 2021, we collected 392 responses. A total of 357 valid responses were analyzed. 54.6% of participants suffered from clinically significant anxiety (CSA). In multivariable logistic model analysis, the CSA status or the high level of anxiety was associated with three factors, including having troubles/difficulties in learning or working, decreased sleep duration, and decreased overall physical health (p<0.05).
CONCLUSION: Our study suggests several possible risk factors of anxiety among non-Japanese residents living in Japan undergoing the COVID-19 pandemic, including the troubles or difficulties in learning or working, the decrease in sleep duration, and the decrease in overall physical health.