scholarly journals Prevalence of nomophobia and its impact among medical students at an institution in Andhra Pradesh during COVID: an online study

2021 ◽  
Vol 8 (2) ◽  
pp. 602
Author(s):  
Sai Venkata Rajyalakshmi ◽  
Bhaskar Singamsetty
Keyword(s):  
Academic Performance ◽  
Sleep Quality ◽  
Mobile Phone ◽  
Cross Sectional Study ◽  
P Value ◽  
Poor Sleep ◽  
Negative Consequences ◽  
Cross Sectional ◽  
Survey Form ◽  
Validated Questionnaire

Background: Nomophobia the fear of being out of mobile phone contact, which refers to the discomfort, anxiety, stress, nervousness and anguish caused by being out of mobile phone connect.  Aim of the to focus on impact of COVID lockdown on students’ developmental lifestyles and to assess the student’s prediction towards development of nomophobia. The current study also aims to compare addictive internet/smartphone related behaviours, time spent on internet usage other than education and impact on sleep quality, academic performance before and during the coronavirus pandemic.Methods: A cross sectional study was conducted at Narayana medical college for a period of 4 months from May 2020 to August 2020. A predesigned, validated questionnaire was developed (google survey form) and answers were collected from 600 students and interns in total by sending the questionnaire by email to all the participants. The responses were analyzed by SPSS, version 22.0. Test results with p value less than 0.05 only were considered statistically significant.Results: In our study, prevalence of nomophobia was more in females (58.96%) than males (42.06%). Gaming was the most common cause of mobile phone usage (79.67%). Poor sleep quality and mobile phone dependence were highest in interns (85.33% and 68%). Variables tested in relation with academic performance were having statistically significant association with nomophobe score of 24.Conclusions: Publicizing the negative consequences, creating awareness and health education during admission to medical graduates will definitely provide a ray of hope of opt utilization of mobile phone and decrease the chances of mobile addiction. 

scholarly journals POS1465-HPR THE RELATIONSHIP BETWEEN SEDENTARY BEHAVIOR AND SLEEP IN RHEUMATOID ARTHRITIS: A CROSS-SECTIONAL STUDY

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1017.2-1018
Author(s):  
N. Kelly ◽  
E. Hawkins ◽  
H. O’leary ◽  
K. Quinn ◽  
G. Murphy ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Physical Activity ◽  
Sleep Quality ◽  
Sedentary Behavior ◽  
Disease Duration ◽  
Cross Sectional Study ◽  
P Value ◽  
Poor Sleep ◽  
Cross Sectional ◽  
The Relationship

Background:Rheumatoid arthritis (RA) is a chronic, autoimmune inflammatory condition that affects 0.5% of the adult population worldwide (1). Sedentary behavior (SB) is any waking behavior characterized by an energy expenditure of ≤1.5 METs (metabolic equivalent) and a sitting or reclining posture, e.g. computer use (2) and has a negative impact on health in the RA population (3). Sleep is an important health behavior, but sleep quality is an issue for people living with RA (4, 5). Poor sleep quality is associated with low levels of physical activity in RA (4) however the association between SB and sleep in people who have RA has not been examined previously.Objectives:The aim of this study was to investigate the relationship between SB and sleep in people who have RA.Methods:A cross-sectional study was conducted. Patients were recruited from rheumatology clinics in a large acute public hospital serving a mix of urban and rural populations. Inclusion criteria were diagnosis of RA by a rheumatologist according to the American College of Rheumatology criteria age ≥ 18 and ≤ 80 years; ability to mobilize independently or aided by a stick; and to understand written and spoken English. Demographic data on age, gender, disease duration and medication were recorded. Pain and fatigue were measured by the Visual Analogue Scale (VAS), anxiety and depression were assessed using the Hospital Anxiety and Depression Scale (HADS), and sleep quality was assessed using the Pittsburgh Sleep Quality Index. SB was measured using the ActivPAL4™ activity monitor, over a 7-day wear period. Descriptive statistics were calculated to describe participant characteristics. Relationships between clinical characteristics and SB were examined using Pearson’s correlation coefficients and regression analyses.Results:N=76 participants enrolled in the study with valid data provided by N=72 participants. Mean age of participants was 61.5years (SD10.6) and the majority 63% (n = 47) were female. Participant mean disease duration was 17.8years (SD10.9). Mean SB time was 533.7 (SD100.1) minutes (8.9 hours per day/59.9% of waking hours). Mean sleep quality score was 7.2 (SD5.0) (Table 1). Correlation analysis and regression analysis found no significant correlation between sleep quality and SB variables. Regression analysis demonstrated positive statistical associations for SB time and body mass index (p-value=0.03846, R2 = 0.05143), SB time and pain VAS (p-value=0.009261, R2 = 0.07987), SB time and HADS (p-value = 0.009721, R2 = 0.08097) and SB time and HADSD (p-value = 0.01932, R2 = 0.0643).Conclusion:We found high levels of sedentary behavior and poor sleep quality in people who have RA, however no statistically significant relationship was found in this study. Future research should further explore the complex associations between sedentary behavior and sleep quality in people who have RA.References:[1]Carmona L, et al. Rheumatoid arthritis. Best Pract Res Clin Rheumatol 2010;24:733–745.[2]Anon. Letter to the editor: standardized use of the terms “sedentary” and “sedentary behaviours”. Appl Physiol Nutr Metab = Physiol Appl Nutr Metab 2012;37:540–542.[3]Fenton, S.A.M. et al. Sedentary behaviour is associated with increased long-term cardiovascular risk in patients with rheumatoid arthritis independently of moderate-to-vigorous physical activity. BMC Musculoskelet Disord 18, 131 (2017).[4]McKenna S, et al. Sleep and physical activity: a cross-sectional objective profile of people with rheumatoid arthritis. Rheumatol Int. 2018 May;38(5):845-853.[5]Grabovac, I., et al. 2018. Sleep quality in patients with rheumatoid arthritis and associations with pain, disability, disease duration, and activity. Journal of clinical medicine, 7(10)336.Table 1.Sleep quality in people who have RASleep variableBed Time N(%) before 10pm13(18%) 10pm-12pm43 (60%) after 12pm16 (22%)Hours Sleep mean(SD)6.56 (1.54)Fall Asleep minutes mean(SD)33.3(27.7)Night Waking N(%)45(63%)Self-Rate Sleep mean(SD)2.74 (0.90)Hours Sleep mean(SD)6.56 (1.54)Disclosure of Interests:None declared

Association between Excessive Use of Mobile Phone and Insomnia among Pakistani Teenagers Cross Sectional Study

2019 ◽  
Vol 5 (4) ◽  
pp. 10-15
Author(s):  
Lubna Farooq ◽  
Akhtar Ali ◽  
Sehrish Mahmood ◽  
Mahnoor Farzand ◽  
Hina Masood ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Mobile Phone ◽  
Sleep Disturbances ◽  
Smart Phone ◽  
Cross Sectional Study ◽  
P Value ◽  
Sectional Study ◽  
Cross Sectional ◽  
Mobile Phone Usage

Introduction:In the era of modern technology mobile phones have becoming popular, especially in teenagers. Besides of its uses there are various undesirable psychological and physical impact on heath. Aims and objectives: The purpose of this study was to access the link among Excessive Use of Smart Phone and there sleep pattern among Pakistani Adolescents. Materials and Methods: A detailed cross sectional study was performed on a total of 500 medical graduates range between 18 and 24 years who were using mobile phone atleast a year. Self-designed Questionnaire is given to them having details of their frequency and pattern of using smart phone. Sleep quality was analyzed by using Pittsburg Sleep Quality index .Chi square test was also perform to check the link between frequency of mobile phone and quality of sleep.P value < 0.005 were considered as significant. Result: Out of 500 participants, the frequency of mobile phone usage was more in males 70% as compare to females30%. Their age varied from 21to 24 with mean age of 20 ± 1.9 years.  Most of students use mobile phone in night 188 (38%)and 202 (40%) participants using mobile phone unlimited. 366 (73%) students mentioned that they start using mobile phone at intermediate level and claimed that no surveillance of the mobile phone being done by the parents . Students who were using unlimited mobile phone reported that they take more than 1 hour to sleep that showed a significant (p-value <0.001) correlation between more mobile phone use and time taken to sleep. Conclusion: The results of our study conclude that excessive mobile phone usage leads to sleep disturbances and poor quality of sleep. That may implement negative effects on student’s mental and physical health along with this it can also affect the students’ educational performance and daily life activities.

scholarly journals Sleep quality among students in Ibn Sina National College

2021 ◽  
Vol 8 (3) ◽  
pp. 1110
Author(s):  
Murad A. Yasawy ◽  
Rehab A. Mohammed ◽  
Mahmood A. Yasawy ◽  
Nada Mohammed Hafiz ◽  
Haneen A. Turkistani
Keyword(s):  
Medical Students ◽  
Sleep Quality ◽  
Cross Sectional Study ◽  
Statistical Correlation ◽  
Categorical Variables ◽  
P Value ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Ibn Sina

Background: Aim of the study was to assess the sleep quality among medical students and explore its relation to many variables as BMI, smoking and chronic diseases.Methods: A descriptive cross-sectional study, conducted among medical students at Ibn Sina national college, Jeddah, KSA. This study was approved by Research Center. A total of 408 participants; Participants are who admitted to hospital for last two days, pregnant and who under 18 years were excluded. We consider p value=0.05 as significant statistically and our confidant interval (CI) is 95%. We used bivariate and univariant variables, for categorical variables we used Chi-square and Fisher exact test.Results: The participants’ mean age was 22.6±2.7 (87.9%) of them were females. Most of our participants were Single (89.8%). A total of 85.9% of the students had poor sleep quality. Those who had less than 6 Hours of sleeping per day had poor sleep quality by 92.2% and statistically affecting their sleep quality p value =0.000. There was no statistically significant relation between sleep quality and academic year or with Gender (p=0.139, p=0.263) respectively. There was no statistical correlation between Sleep quality and Nightmares or Snoring (p value =0.063, 0.055) respectively.Conclusions: Poor sleep quality was prevalent in all class years of the undergraduate medical course and more common between females. This study revealed high prevalence of poor sleep quality. Sleep educational programs, stress management courses and lifestyles modifications are required.

scholarly journals Frequency of Nomophobia among Medical Students of Rawalpindi Medical University

2020 ◽  
Vol 24 (1) ◽  
pp. 42-45
Author(s):  
Laibah Safdar ◽  
Nayyab Khan ◽  
Mehjabeen Qureshi
Keyword(s):  
Medical Students ◽  
Mobile Phone ◽  
Smart Phone ◽  
Cross Sectional Study ◽  
Male Students ◽  
P Value ◽  
Negative Consequences ◽  
Cross Sectional ◽  
One Year ◽  
Medical University

Background: Nomophobia is defined as “The discomfort or anxiety felt when out of the mobile phone (MP) or computer contact. It is the fear of becoming technologically incommunicable, distant from the mobile phone or not connected to the web”. The frequency of nomophobia has increased over the past years and this condition has many negative consequences. The objective of our study is to find the frequency of nomophobia among medical students of Rawalpindi Medical University (RMU).Methods: This cross-sectional study was carried out at Rawalpindi Medical University (RMU) over the course of one year. The inclusion criteria were medical students of all five years of MBBS studying at RMU. Students who do not own or use a smart-phone were excluded from the study. Our sample size was 350 students, who were recruited by convenience sampling. For this study, The Nomophobia Questionnaire (NMP-Q)has been used which has 20 items. Each item is scored on a 7 point Likert scale. The total score ranges from 20 to 140. Results: The mean NMP-Q score of the male students was 82.96 (±21.06) and that of the female students was 78.52 (±23.69), with a p-value of 0.065, which is insignificant. Out of the total 350 students, the number of students with a mild level of nomophobia was 61(17.4%), with a moderate level of nomophobia was 216(61.7%), and with severe nomophobia was 73(20.9%).Conclusion: Measures are needed to be taken on both public and personal level to counter this issue of nomophobia, which is becoming highly prevalent in our society.

scholarly journals Association of sleep disorder with academic performance among medical students in Sudan

2020 ◽  
Vol 9 (2) ◽  
Author(s):  
Mubashir Zafar ◽  
Eltigani Osman Musa Omer ◽  
Mohamed Elfatih Hassan ◽  
Khalid Ansari
Keyword(s):  
Academic Performance ◽  
Medical Students ◽  
Sleep Quality ◽  
Sleep Disorder ◽  
Simple Random Sampling ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Cross Sectional ◽  
Poor Academic Performance ◽  
Performance Results

Background — Sleep disorder is a common problem amongst medical students. The objective of this study is to determine the association of sleep disorder with academic performances among medical students in Sudan. Methods — A cross-sectional study was conducted in which 199 medical students were selected through simple random sampling techniques. Pittsburgh Sleep Quality Index and Epworth Sleepiness Scale were used to assess the sleep pattern and daytime sleepiness respectively. Logistic regression analysis was used to determine the association of sleep disorder with academic performance. Results — Majority of the students (82.5%) suffered poor sleep quality and 56.5% were suffered from severe day time sleepiness. All the characteristics of sleep quality were associated with poor academic performance but only sleep duration, use of sleep medication, global PSQI score and day time sleepiness were a statistically significant association with poor academic performance. Conclusion — A high prevalence of sleep disorder and its associated with poor academic performance was found in medical students. There is a need for a formulation of policies to address the factors which affect sleep of students.

scholarly journals Effect of sleep quality on academic performance of undergraduate University level students

2021 ◽  
Vol 4 (2) ◽  
pp. 95-99
Author(s):  
Urooj Rafi ◽  
Saira Jahan ◽  
Wardah Ajaz Qazi ◽  
Summyia Siddique ◽  
Nadia Ahmed Bukhari
Keyword(s):  
Academic Performance ◽  
Sleep Quality ◽  
Sampling Technique ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Quality Sleep ◽  
Study Population ◽  
University Level

Introduction: emory processing and learning are enhanced by adequate, high-quality sleep of the appropriate duration. It aids memory processing, executive cognitive functioning and concentration. Academic performance of university students suffers as a result of poorer sleep quality. Objectives: To determine the effect of sleep quality on academic performance of undergraduate university level students. Methodology: This is analytical cross-sectional study and non-probability purposive sampling technique was used. The study population comprised a total 300 students, out of which 50 students were not completed the questionnaire. A total of 250 students, 113 male and 137 female students were participated in this study. A structured questionnaire was circulated among bachelor-level students of different universities in blinded from August 2018 to December 2018.  The questionnaire was based on Pittsburgh Sleep Quality Index along with other relevant data about the students’ age, gender, and discipline of study, respective semester and grades (CGPA or percentage total). The data obtained was analyzed using SPSS 21. Results: Majority of the students had moderately poor sleep quality (Global PSQI score=5). The 17.6% of subjects scored 5 in PSQI and 14.8% of subjects scored 6 in PSQI. However, the students who scored high CGPA (>3.5) had better sleep quality as compared to those who got CGPA <3.5. Conclusion: Majority of the students having poor sleep quality and their grades might be affected. Furthermore, the students who attaining good CGPA (>3.5) had on an average good sleep quality.

scholarly journals Relations of Bedtime Mobile Phone Use to Cognitive Functioning, Academic Performance, and Sleep Quality in Undergraduate Students

2020 ◽  
Vol 17 (19) ◽  
pp. 7131
Author(s):  
Darnisha Ragupathi ◽  
Normala Ibrahim ◽  
Kit-Aun Tan ◽  
Beatrice Ng Andrew
Keyword(s):  
Academic Performance ◽  
Sleep Quality ◽  
Mobile Phone ◽  
Cognitive Functioning ◽  
Undergraduate Students ◽  
Verbal Memory ◽  
Neuropsychological Test ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Mobile Phone Use

The present cross-sectional study examined the relations of bedtime mobile phone use to cognitive functioning, academic performance, and sleep quality in a sample of undergraduate students. Three hundred eighty-five undergraduate students completed a self-administered questionnaire containing sociodemographic variables, bedtime mobile phone use, the Pittsburgh Sleep Quality Index, and the Cambridge Neuropsychological Test Automated Battery (attention and verbal memory). At bivariate level, increased scores in bedtime mobile phone use were significantly correlated with decreased scores in academic performance and sleep quality. Our multivariate findings show that increased scores in bedtime mobile phone use uniquely predicted decreased scores in academic performance and sleep quality, while controlling for gender, age, and ethnicity. Further untangling the relations of bedtime mobile phone use to academic performance and sleep quality may prove complex. Future studies with longitudinal data are needed to examine the bidirectional effect that bedtime mobile phone use may have on academic performance and sleep quality.

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 Association between Depression, Lifestyles, Sleep Quality, and Sense of Coherence in a Population with Cardiovascular Risk

Nutrients ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 585
Author(s):  
Aina Riera-Sampol ◽  
Miquel Bennasar-Veny ◽  
Pedro Tauler ◽  
Mar Nafría ◽  
Miquel Colom ◽  
...  
Keyword(s):  
Cardiovascular Risk ◽  
Sleep Quality ◽  
Mediterranean Diet ◽  
Sense Of Coherence ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Protective Effects ◽  
Cross Sectional ◽  
Health Related ◽  
The Mediterranean

People with cardiovascular risk have more depression than the general population. Depression and cardiovascular risk have been commonly linked to lower sense of coherence (SOC) values, unhealthy lifestyles, and poor sleep quality. The aim of this study was to analyze the association between depression, health-related lifestyles, sleep quality, and SOC in a population with cardiovascular risk. A cross-sectional study was conducted in 310 participants (aged 35–75 years) with cardiovascular risk. Sociodemographic and anthropometric characteristics, cardiovascular risk, SOC score, depression levels, sleep quality, and lifestyles (physical activity, diet quality (measured as the adherence to the Mediterranean diet), and tobacco and alcohol consumption) were determined. The regression analysis showed significant associations between depression levels and sex (odds ratio (OR): 2.29; 95% CI: 1.29, 4.07), diet (OR: 0.85; 95% CI: 0.73, 0.99), body mass index (BMI) (OR: 1.06; 95% CI: 1.01, 1.12), cardiovascular disease (CVD) (OR: 2.55; 95% CI: 1.18, 5.48), sleep quality (OR: 0.26; 95% CI: 0.15, 0.46), and SOC (OR: 0.96; 95% CI: 0.94, 0.98). Protective effects of male sex, a lower BMI, no CVD, a higher adherence to the Mediterranean diet, a high sleep quality, and a higher SOC were found. In conclusion, among lifestyles determined, only diet was associated with depression levels. SOC and sleep quality were also found as significant predictors for depression levels.

scholarly journals The multimorbidity of hypertension and osteoarthritis and relation with sleep quality and hyperlipemia/hyperglycemia in China’s rural population

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Li Ran ◽  
Qi Chen ◽  
Jingyi Zhang ◽  
Xinlong Tu ◽  
Xiaodong Tan ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Regression Models ◽  
Joint Effect ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Sectional Study ◽  
Additive Interaction ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Remote Rural Area

AbstractHypertension (HTN) and osteoarthritis (OA) are frequent in middle-aged and elderly people, and the co-occurrence of these two diseases is common. However, the pathogenesis of the multimorbidity of both diseases and the relation with sleep quality, hyperlipemia, and hyperglycemia is unclear. We conducted a cross-sectional study to make sense of the multimorbidity of HTN and OA and the relation with sleep quality, hyperlipemia, and hyperglycemia. The relation between sleep quality and OA and its joint effect with hyperlipemia or hyperglycemia was evaluated with logistic regression models. The additive interaction was assessed with the relative excess risk due to interaction (REEI), the attributable proportion (AP), and the synergy index (S). According to this research in a remote rural area, approximately 34.2% of HTN patients are accompanied with OA and 49.1% are suffering poor sleep. Both hyperlipemia/hyperglycemia and sleep quality were related to OA prevalence with crude ORs of 1.43 (95% CI 1.014–2.029) and 1.89 (95% CI 1.411–2.519, P < 0.001) respectively. An observed additive effect was found greater than the sum of the effects of sleep quality and hyperlipemia/hyperglycemia posed on OA prevalence alone. This additive interaction was observed in females (OR = 3.19, 95% CI 1.945–5.237) as well as males ≥ 65 years old (OR = 2.78, 95% CI 1.693–4.557), with RERI, AP, and S significant. Therefore, poor sleep and hyperlipemia/hyperglycemia are associated with OA, and further studies on the additive interaction among females and males ≥ 65 are warranted.

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