BackgroundThe COVID-19 pandemic has led to many challenges such as increased number of patients and the risk of the disease progress in the world’s healthcare systems, especially nursing. The capacity of technology can help nursing in such conditions. The aim of this study was to explore the lived experiences of patients with COVID-19 with home care by using telenursing.MethodsThe present study is a qualitative research conducted using the descriptive phenomenological method. The participants were selected using purposive sampling method and considering the inclusion and exclusion criteria. After obtaining ethical approval, data were collected through semistructured interviews. Open-ended questions and follow-up were used in the interviews. The interviews were conducted using Skype application and telephone. All data were recorded, and MAXQDA software was used to manage the data. Data analysis was performed using Colaizzi’s seven-step method. Lincoln and Guba’s criteria were used to evaluate the trustworthiness of the data.ResultsThe main themes and their subthemes included ‘facilitators’ (improvement of relationships, adequate education and counselling, adequate care and support, improvement and promotion of health) and ‘barriers’ (lack of previous knowledge and experience, infrastructure problems, confusion in hospital programmes and the pressure caused by the COVID-19 pandemic).ConclusionGiven the potential capacity of telenursing, strong field studies are recommended to be conducted in this area. The results of such studies can contribute to the rapid and serious use of telenursing in the area of care, education, support, follow-up and counselling of patients.

Association of lifestyle-related factors and mental health has been less studied in Middle Eastern countries. Th is study aimed to examine the prevalence of two common mental health problems, i.e., depression and anxiety, and their lifestyle determinants in a large sample of Iranian population. This study was conducted within the framework of SEPAHAN population based cross-sectional study (N=4763(. The General Practice Physical Activity Questionnaire (GPPAQ) was used to assess physical activity and the Iranian-validated version of Hospital Anxiety and Depression Scale (HADS) was applied to screen for anxiety and depression. Logistic regression was used as the main statistical method for data analysis by SPSS version 16.0. A P-value <0.05 was considered to be statistically significant. The risk of anxiety and depression was 2.5 (OR=2.56,95% CI: 1.97-3.33) and 2.21(1.83-2.67) times higher in women than men, respectively. With every one-year increase in the age, the risk of anxiety decreased by 2% (OR=0.98,95% CI:0.97-0.99). Individuals with higher education had 56% lower risk of anxiety (OR=0.44,95% CI: 0.36-0.55) and 46% depression (OR=0.54,95% CI: 0.46-0.64) than the undergraduate group, and the risk of depression in the inactive (less than one hour of activity per week) group was 27% higher than the active group (OR=1.27,95% CI: 1.06-1.51). The risk of anxiety in the non-smoker group was 65% (OR=0.35,95% CI: 0.20-0.59) and depression was 64% lower than among smokers (OR=0.34,95% CI:0 .22-0.53). In the ex-smoker group, the risk of anxiety was 60% (OR=0.40,95% CI:0.19-0.85) and depression was 59% lower than for the smoker group (OR=0.41,95% CI: 0.24-0.73). This current study’s results demonstrated significant associations between unhealthy lifestyle factors and increased risk of anxiety and depression. Hence, special attention must be paid to preventive intervention programmes aiming to enhance healthy lifestyle among at-risk populations.

BackgroundWe aimed to determine the predictors of regression to normoglycemia and progression to diabetes among subjects with pre-diabetes in a single model concurrently.MethodsThe present study included 1329 participants aged 20 to 70 years with prediabetes from the population-based cohort of the Tehran Lipid and Glucose Study, with a 10-year follow-up. Glycemic status at follow-up was categorized as regression to normoglycemia: fasting plasma glucose [FPG] of &lt;5.55 and 2h-plasma glucose [PG] of &lt;7.77 mmol/L, and not taking antidiabetic medications. Glycemic status at follow-up was categorized as progression to diabetes: FPG ≥7 or 2h-PG of ≥11.1 mmol/L, or taking antidiabetic medications. Glycemic status determined whether the patients remained in prediabetes category (isolated impaired fasting glycaemia [iIFG] [(5.55≤FPG&lt;7 and 2h-PG&lt;7.77 mmol/L); isolated impared glucose tolarence [iIGT] (7.77 ≤ 2h-PG&lt;11.1 and FGP&lt;5.55 mmol/L)]. With prediabetes as a reference, multinomial logistic regression was utilized to identify the determinants of glycemic changes.ResultsApproximately 40% of participants returned to normoglycemia (n = 578), and similar percentage of participants progressed to diabetes (n = 518). Based on the multivariable multinomial model, regression to normoglycemia was associated with age (relative risk ratio [RRR] = 0.97; 95% CI, 0.95-0.99), female sex (RRR = 1.72; 95% CI, 1.18-2.50), high education level of ≥12 years (RRR = 2.10; 95% CI, 1.19-3.70), and combined IFG/impaired glucose tolerance (IGT) versus IFG (RRR = 0.45; 95% CI, 0.29-0.70). The risk of progression to diabetes increased with body mass index (RRR = 1.10; 95% CI, 1.05-1.15), waist circumference (RRR = 0.97; 95% CI, 0.96-0.99), positive familial history of diabetes (RRR = 1.62; 95% CI, 1.07-2.45), and combined IFG/IGT versus IFG (RRR = 2.54; 95% CI, 1.71-3.77).ConclusionA small percentage of patients with prediabetes remain in this condition, but the majority go on to develop diabetes or regress to normoglycemia. Both directions had distinct predictors.

The current study aimed to determine the prognostic values of personality traits for common psychological problems in a large sample of Iranian adult. In a large sample of healthy people (n = 4763) who lived in Isfahan province; the NEO-FFI was used to assess the personality traits; depression and anxiety were assessed using the "Hospital Anxiety and Depression Scale (HADS)" also stress was measured through Persian validated version of General Health Questionnaire (GHQ-12). Receiver Operating Characteristics Curve (ROC) analysis was used as main statistical method for data analysis. ROC analysis showed neuroticism was the best predictor for all psychological problems with highest area under the curve (AUC) (95% confidence interval) for stress, 0.837 (0.837-0.851), anxiety 0.861 (0.847-0.876) and depression 0.833 (0.820-0.846) (p < .001) and the corresponding cutoff points (sensitivity, specificity), were 21.5 (77%, 66%), 22.5 (81%, 77%) and 20.5 (77%, 74%), respectively. Other personality traits were significant protective factors for being affected with psychological problems (p < .001). Similar findings were observed separately in women and men. The present study showed that the neuroticism is significant risk factor for being affected with three psychological problems while other traits are significant protective factors. Personality traits are useful indices for screening psychological problems and an effective pathway toward prevention in general population.