Influence of smartphone addiction and poor sleep quality on attention-deficit hyperactivity disorder symptoms in university students: a cross-sectional study

2020 ◽  
pp. 1-7
Author(s):  
Soo Jin Kwon ◽  
Yoonjung Kim ◽  
Yeunhee Kwak
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Sleep Quality ◽  
Attention Deficit ◽  
Cross Sectional Study ◽  
Smartphone Addiction ◽  
Poor Sleep ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Hyperactivity Disorder

scholarly journals The prevalence and risk factors for depressive symptoms in frontline nurses under COVID-19 pandemic based on a large cross-sectional study using the propensity score-matched method

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hongyan Wang ◽  
Xiaoling Dai ◽  
Zichuan Yao ◽  
Xianqing Zhu ◽  
Yunzhong Jiang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Psychological Capital ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Related Factors ◽  
Cross Sectional

Abstract Introduction To explore the prevalence of depressive symptoms and the associated risk factors in frontline nurses under COVID-19 pandemic. Methods This cross-sectional study was conducted from February 20, 2020 to March 20, 2020 and involved 562 frontline nurses. The effective response rate was 87.68%. After propensity score matched, there were 498 participants left. Extensive characteristics, including demographics, dietary habits, life-related factors, work-related factors, and psychological factors were collected based on a self-reported questionnaire. Specific scales measured the levels of sleep quality, physical activity, depressive symptoms, perceived organization support and psychological capital. Adjusted odds ratios and 95% confidence intervals were determined by binary paired logistic regression. Results Of the nurses enrolled in the study, 50.90% had depressive symptoms. Three independent risk factors were identified: poor sleep quality (OR = 1.608, 95% CI: 1.384–1.896), lower optimism of psychological capital (OR = 0.879, 95% CI: 0.805–0.960) and no visiting friend constantly (OR = 0.513, 95% CI: 0.286–0.920). Conclusions This study revealed a considerable high prevalence of depressive symptoms in frontline nurses during the COVID-19 outbreak, and identified three risk factors, which were poor sleep quality, lower optimism of psychological capital, and no visiting friend constantly. Protecting mental health of nurses is important for COVID-19 pandemic control and their wellbeing. These findings enrich the existing theoretical model of depression and demonstrated a critical need for additional strategies that could address the mental health in frontline nurses for policymakers.

scholarly journals Sleep Quality and Associated Factors among Peoples with Epilepsy Who Have a Follow-Up at Amanuel Mental Specialized Hospital, Addis Ababa, Ethiopia, 2019: An Institutional Based Cross-Sectional Study

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Kemeriya Adem ◽  
Tilahun Kassew ◽  
Addis Birhanu ◽  
Ayalew Abate
Keyword(s):  
Sleep Quality ◽  
Associated Factors ◽  
Addis Ababa ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Specialized Hospital

Background. Sleep is an active cyclic biological phenomenon and necessary for survival. Individuals who suffer from sleep disturbance are less productive, decreased performance, and negative effects on mental health. Despite there are different studies on sleep quality in Ethiopia, no studies have been conducted on magnitude and predictors of sleep quality among people with epilepsy in the study setting. Objective. To assess sleep quality and associated factors among people with epilepsy who have a follow-up at Amanuel Mental Specialized Hospital, Addis Ababa, Ethiopia, 2019. Method. An institution-based cross-sectional study was employed from May-June 2019. Systematic random sampling following face to face interview technique was employed. Epi-data version 3.1 and SPSS version 25 statistical packages were used for data entry and analysis, respectively. Frequencies, proportions, means, SDs, and cross-tabulations were used to summarize descriptive statistics of the data and tables, texts, and graphs were used for data presentation. To identify association and significant predictor with the outcome variable, binary logistic regression was fitted. The variable which has statistical significance was identified on the basis of p values ≤ 0.05 and AOR with 95% confident intervals. Results. A total of 423 participants have been enrolled to the study with a response rate of 98.1%. The prevalence of poor sleep quality among peoples live with epilepsy was found 65.4% (95% CI: 61.0, 69.9). Being female (AOR=2.94; (95% CI; 1.79, 4.85)), having stress full life events (AOR=2.38; (95% CI; 1.43, 3.97)), nonadherent to AED medication (AOR=1.86; (95% CI; 1.05, 2.78), poly-therapy treatment (AOR=2.24; (95% CI; 1.05, 2.78)), poor seizer control (AOR=2.4; (95% CI; 2.21, 12.46)), comorbid medical illness (AOR=2.6; (95% CI; 1.18, 5.61)), and anxiety (AOR=2.54; (95% CI; 1.52,4.24)) were factors significantly associated with poor sleep quality. Conclusion. This study revealed that more than half of the study participants were found to have poor sleep quality. So, considering the regular assessment of sleep quality and factors associated followed with appropriate intervention is recommended among peoples living with epilepsy.

Nutritional and environmental factors in attention-deficit hyperactivity disorder (ADHD): A cross-sectional study

2017 ◽  
Vol 21 (9) ◽  
pp. 641-647 ◽  
Author(s):  
Ismael San Mauro Martín ◽  
Javier Andrés Blumenfeld Olivares ◽  
Elena Garicano Vilar ◽  
Manuela Echeverry López ◽  
Marta García Bernat ◽  
...  
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Environmental Factors ◽  
Attention Deficit ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Hyperactivity Disorder

scholarly journals Poor Sleep Quality in Nurses Working or Having Worked Night Shifts: A Cross-Sectional Study

2021 ◽  
Vol 15 ◽  
Author(s):  
Qiao Huang ◽  
Chong Tian ◽  
Xian-Tao Zeng
Keyword(s):  
Sleep Quality ◽  
Clinical Care ◽  
Night Shift ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Consecutive Night ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Night Shifts

Night shifts are part of clinical care. It is unclear whether poor sleep quality of nurses working both consecutive night shifts and day shifts after quitting night shifts is common. In this cross-sectional study, Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality as study outcome. Univariable and multivariable linear and logistic regressions were performed to compare PSQI score and prevalence of poor sleep quality between 512 nurses currently working consecutive night shifts and 174 nurses having worked night shifts in the past. The prevalence of poor sleep quality was 62.11% in nurses working consecutive night shifts and 55.75% in nurses having worked night shifts before. In multivariable regressions with adjustment for potential confounders, compared with nurses working consecutive night shifts, nurses having worked past night shifts reported decreased PSQI score [mean difference: −0.82 (95% CI: −1.27 to −0.38, p < 0.001)] and lower poor sleep quality [odds ratio (OR): 0.49 (95% CI: 0.29 to 0.80, p = 0.005)]. In nurses working consecutive night shifts, a rising curve that plateaued at the end was observed between years of consecutive night shifts and PSQI score, p = 0.004. To explore the change in PSQI score after quitting night shift, we constructed a hypothetical prospective cohort from the cross-sectional data. Here, 98 pairs of nurses with consecutive and past night shifts were matched for the number of night shift years, religion, marital status, living condition, hypertension, and hyperlipidemia. In each pair, a hypothetical change in PSQI score was calculated between the two types of nurses and hypothetical years after quitting night shifts was obtained from the matched nurse with past night shifts. A U-shaped curve between change in PSQI and years after quitting night shifts was observed, p = 0.007. The rising curve and U-shaped curve together formed an S-shaped curve, which mapped the change in sleep quality. These results based on the hypothetical cohort constructed from cross-sectional data suggested the presence of persistent poor sleep quality in night shift nurses. Also, we support early and continuous sleep hygiene education and reflection for an optimal strategy for when to cease working night shifts with regard to sleep-related problems.

scholarly journals Effects of COVID-19 2021 lockdown on the sleep quality and mental health of undergraduate medical and dental students of Pakistan: A cross-sectional study.

2021 ◽  
Author(s):  
Naveen Siddique Sheikh ◽  
Aiza Anwar ◽  
Iqra Pervaiz ◽  
Zunaira Arshad ◽  
Huma Saeed Khan ◽  
...  
Keyword(s):  
Mental Health ◽  
Sleep Quality ◽  
Cross Sectional Study ◽  
Dental Students ◽  
Depression Symptoms ◽  
Poor Sleep ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Medical And Dental Students

Background and objectives: The COVID-19 pandemic has been recognized as a cause of direct and indirect psychological consequences that impact mental health such as acute stress disorders, anxiety, irritability, poor concentration, and insomnia. This study was planned to evaluate the sleep quality and mental health of undergraduate students amidst the COVID-19 lockdown of 2021. Materials and Methods: This observational cross-sectional study was conducted in Lahore, Pakistan, where 261 undergraduate medical and dental students enrolled at a private medical and dental school were approached from March to May 2021. The Pittsburg Sleep Quality Index (PSQI) was used to identify the sleep quality along with the Generalized Anxiety Disorder Scale (GAD-7) to establish anxiety symptoms and the Physical Health Questionnaire (PHQ-9) for depression symptoms. Results: The results show that 212 (81.2%) female and 49 (18.8%) male students participated in the study. Of the participants 75.1% experienced poor sleep quality, 90% had symptoms of depression, and 85.4% had symptoms of anxiety. The mean score on the PSQI scale was 8.59+4.10, on the GAD-7 scale was 11.36+5.94 and on the PHQ-9 scale was 13.70+6.81. Multiple regression analysis showed that anxiety symptoms (β = 0.315, p = 0.000) and depression symptoms (β = 0.398, p = 0.000) were significant predictors of sleep quality amongst the undergraduate medical and dental students. Conclusion: A high majority of the study participants are experiencing poor sleep quality along with suffering from depression and anxiety amidst the COVID-19 lockdown. It is concluded from the analysis that anxiety and depression symptoms are significant predictors of sleep quality. Relevant authorities need to set up systems that help undergraduate medical students in alleviating and coping with these symptoms midst the COVID-19 pandemic.

scholarly journals Mild Cognitive Impairment or Attention-Deficit/Hyperactivity Disorder in Older Adults? A Cross Sectional Study

2021 ◽  
Vol 12 ◽  
Author(s):  
Felippe Mendonca ◽  
Felipe Kenji Sudo ◽  
Gustavo Santiago-Bravo ◽  
Natalia Oliveira ◽  
Naima Assuncao ◽  
...  
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Attention Deficit ◽  
Cross Sectional Study ◽  
Older Individuals ◽  
Sectional Study ◽  
Cross Sectional ◽  
Hyperactivity Disorder ◽  
Age Related

Background: Attention-Deficit/Hyperactivity Disorder (ADHD) is a highly prevalent neurodevelopmental condition, which may be associated with life-enduring cognitive dysfunction. It has been hypothesized that age-related cognitive decline may overlap with preexisting deficits in older ADHD patients, leading to increased problems to manage everyday-life activities. This phenomenon may mimic neurodegenerative disorders, in particular Mild Cognitive Impairment (MCI). This cross-sectional study aims to assess cognitive and behavioral differences between older subjects with ADHD and MCI.Methods: A total of 107 older participants (41 controls; 40 MCI and 26 ADHD; mean age = 67.60 ± 7.50 years; mean schooling = 15.14 ± 2.77 years; 65.4% females) underwent clinical, cognitive, and behavioral assessments by a multidisciplinary team at the Memory Clinic, D'Or Institute for Research and Education, Rio de Janeiro, Brazil. Mean scores in neuropsychological tasks and behavioral scales were compared across groups.Results: Participants with ADHD showed poorer performances than controls in episodic memory and executive function with large effect-sizes. Performances were comparable between MCI and ADHD for all domains.Discussion: MCI and ADHD in older individuals are dissociated clinical entities with overlapping cognitive profiles. Clinicians ought to be aware of these converging phenotypes to avoid misdiagnosis.

Sign in / Sign up

Export Citation Format

Share Document