scholarly journals PHYSICAL ACTIVITY AND SYMPTOMS OF ANXIETY AND DEPRESSION AMONG MEDICAL STUDENTS DURING A PANDEMIC

2021 ◽  
Vol 27 (6) ◽  
pp. 582-587
Author(s):  
Tassia Barcelos Mendes ◽  
Karla Cardoso de Souza ◽  
Carolina Nunes França ◽  
Fabrício Eduardo Rossi ◽  
Rafael Pereira Guimarães Santos ◽  
...  
Keyword(s):  
Physical Activity ◽  
Medical Students ◽  
Sleep Quality ◽  
Sedentary Behavior ◽  
Vigorous Physical Activity ◽  
Cross Sectional Study ◽  
Anxiety And Depression ◽  
Poor Sleep ◽  
Level Of Evidence ◽  
Cross Sectional

ABSTRACT Introduction: Decreased physical activity has been associated with poorer mental health and is a cause for concern during the COVID-19 pandemic. Objective: To compare groups of medical students (MS) who practiced different levels of moderate and vigorous physical activity (MVPA) during the COVID-19 pandemic, in relation to symptoms of anxiety and depression (BAI-BDI), sleep quality (PSQI), and physical activity (PA) - light, moderate, vigorous (LPA-MPA and VPA), and sedentary behavior (SB). Methods: This research is a cross-sectional study involving 218 MS. Data on the characteristics of the MS were collected through online forms: PA, SB, BAI, BDI, and PSQI. The Cohen's D (Effect Size - ES) and confidence interval (95% CI), Mann-Whitney test: Lower MVPA (Median=0 minute) and Higher MVPA (Median=390 minutes) were recorded. For the statistical analyses, we used: the Odds ratio (OR) for the presence of symptoms of high levels of anxiety and depression and poor sleep quality in the MS and MVPA. Results: We found a small ES for symptoms of depression (ES 0.26 95% CI 0.00 0.53 p=0.029), and significant differences (p<0.05) for symptoms of anxiety (ES 0.17 95% CI −0.09 0.44 p=0.037). There was also a significant tendency for sedentary behavior on weekdays (ES 0.27 95% CI 0.00 0.53 p = 0.051). The OR for MVPA and the presence of symptoms of high levels of anxiety was 0.407 (95% CI = 0.228 to 0.724). Conclusions: the MS who practiced higher MVPA presented less symptoms of anxiety and depression during the COVID-19 pandemic. Level of evidence III; Case-control study.

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

scholarly journals Is Less Sedentary Behavior, More Physical Activity, or Higher Fitness Associated with Sleep Quality? A Cross-Sectional Study in Singapore

2020 ◽  
Vol 17 (4) ◽  
pp. 1337
Author(s):  
Robert A. Sloan ◽  
Youngdeok Kim ◽  
Susumu S. Sawada ◽  
Akihiro Asakawa ◽  
Steven N. Blair ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Sedentary Behavior ◽  
Vigorous Physical Activity ◽  
Secondary Data ◽  
Poor Sleep ◽  
Inverse Association ◽  
Combined Model ◽  
Cross Sectional ◽  
Working Adults

Objectives: To examine the independent, joint, and fully combined associations of sedentary behavior (SB), moderate-to-vigorous physical activity (MVPA), and cardiorespiratory fitness (CRF) with the odds of poor sleep quality (SQ). Methods: We performed a secondary data analysis on 757 working adults (male = 345) in Singapore, with an average age of 35.2 years. The Pittsburgh Sleep Quality Index was used to assess SQ. Objectively measured MVPA and SB were each obtained using an accelerometer. A non-exercise prediction equation was used to estimate CRF. Logistic regression models were used to determine associations. Results: In total, 13.2% of the sample (n = 100) was identified as having poor SQ. After adjusting for study covariates, independent analyses revealed a clear inverse association for higher CRF and lower odds of poor SQ (OR = 0.50; 95% CI = 0.28–0.91). SB and MVPA demonstrated no independent associations. Joint associations revealed that odds of having poor SQ for those with low CRF was higher regardless of SB level and was further deteriorated by lower MVPA in the fully combined model. The fully combined model also demonstrated that those with lower SB, higher MVPA, and higher CRF had the lowest odds of having poor SQ (OR = 0.28; 95% CI = 0.10–0.78). Conclusions: Physical activity/exercise training programs that aim to improve CRF may be useful in lowering the odds or poor SQ in working adults.

Effect of Confinement by COVID-19 on the Lifestyle of the University Population of Argentina: Evaluation of Physical Activity, Food and Sleep (Efecto del confinamiento por COVID-19 sobre el estilo de vida en población universitaria de Argentina: Evaluaci

Retos ◽  
2021 ◽  
Vol 43 ◽  
pp. 274-282
Author(s):  
Leonardo Intelangelo ◽  
Nacim Molina Gutiérrez ◽  
Nicolás Bevacqua ◽  
Cristian Mendoza ◽  
Iris Paola Guzmán-Guzmán ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Physical Activity Behavior ◽  
Cross Sectional Study ◽  
Lifestyle Changes ◽  
Poor Sleep ◽  
Activity Levels ◽  
Cross Sectional ◽  
Good Nutrition ◽  
University Population

Objective: to determine lifestyle changes, such as physical activity, nutrition, and sleep in an Argentinean university population, caused by confinement during the COVID-19 pandemic. Methods: Cross-sectional study via web survey. 1021 the Argentinean university population (women, n = 645 and men, n = 376) aged between 18–70 years old was participate. Survey was utilized to measure participant physical activity behavior, nutrition, and sleep April to May 2020. Results: the main findings revealed that 4.3% of the sample showed obesity; the highest proportion of the sample stayed more than 6 hours in a sedentary status; 21.74% reported bad sleep quality; a reduction in good feeding pattern; and an increase in subjects who do not perform physical activity. According to socio-demographic and anthropometric factors, being a student (OR 2.19, CI95% 1.18 - 4, p= .012), overweight (OR 1.71, CI95% 1.19 – 2.44, p= .003), obesity (OR 4.45, CI95% 2.27 – 8.7, p< .001), and have been confined more than 45 days was associated with bad feeding. Likewise, low physical activity levels were associated with obesity (OR 3.2 CI95% 1.66 – 6.18, p= .001), being female (OR 1.61, CI95% 1.14 –2.28, p= .006) and get married (OR 1.72, CI95% 1.14 – 2.61, p= .009). Moreover, being a student was associated with poor sleep quality (OR 43.6, CI95%5.4 – 350, p< .001). Conclusion: This study suggests that confinement decreased healthy living habits such as good nutrition and physical activity and affected the quality of sleep in young subjects.  Resumen. Objetivo: determinar los cambios en el estilo de vida, como la actividad física, la nutrición y el sueño en una población universitaria argentina, causados por el confinamiento durante la pandemia de COVID-19. Métodos: Estudio transversal mediante encuesta por Internet. Participaron 1021 personas de la población universitaria argentina (mujeres, n = 645 y hombres, n = 376) de entre 18 y 70 años de edad. La encuesta fue utilizada para medir el comportamiento de la actividad física, la nutrición y el sueño de los participantes de abril a mayo de 2020.Resultados: los principales hallazgos mostraron que el 4,3% de la muestra presentaba obesidad; la mayor proporción de la muestra permaneció más de 6 horas en estado sedentario; el 21,74% informó sobre la mala calidad del sueño; una reducción de los hábitos correctos de alimentación; y un aumento de los participantes que no realizan actividad física. De acuerdo con factores socio-demográficos y antropométricos, ser estudiante (OR 2.19, CI95% 1.18 - 4, p= .012), el sobrepeso (OR 1.71, CI95% 1.19 - 2.44, p= .003), la obesidad (OR 4.45, CI95% 2.27 - 8.7, p< .001), y haber estado confinado más de 45 días se asoció con una mala alimentación. Asimismo, los bajos niveles de actividad física se asociaron con la obesidad (OR 3,2; IC95% 1,66 - 6,18, p= .001), ser mujer (OR 1,61; IC95% 1,14 -2,28, p= .006) y estar casado (OR 1,72; IC95% 1,14 - 2,61, p= .009). Además, ser estudiante se asoció con una mala calidad de sueño (OR 43,6, CI95% 5,4 - 350, p< .001). Conclusión: Este estudio sugiere que el confinamiento disminuyó los hábitos de vida saludables como la buena nutrición, la actividad física, y afectó la calidad del sueño en sujetos jóvenes.

scholarly journals Impact of parents’ physical activity on preschool children’s physical activity: a cross-sectional study

PeerJ ◽  
2018 ◽  
Vol 6 ◽  
pp. e4405 ◽  
Author(s):  
Chang Xu ◽  
Minghui Quan ◽  
Hanbin Zhang ◽  
Chenglin Zhou ◽  
PeiJie Chen
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Vigorous Physical Activity ◽  
Cross Sectional Study ◽  
Maternal Influence ◽  
Activity Levels ◽  
Cross Sectional ◽  
Physical Activity Levels ◽  
Paternal Influence ◽  
Children’S Physical Activity

Purpose This study examined the associations of physical activity levels between parents and their pre-school children based on gender and weekday/weekend. Method A total of 247 parent-preschool child triads from Shanghai, China were analyzed. The children had a mean age of 57.5 ± 5.2 months. Both sedentary behavior and physical activity were measured in all participants using an ActiGraph GT3X+ accelerometer over seven consecutive days from Monday through the following Sunday. A multivariate regression model was derived to identify significant relationships between parental and child physical activity according to gender and weekday/weekend. Results There was a significant correlation between mothers’ and girls’ moderate-to-vigorous physical activity (MVPA) and total physical activity (TPA) on weekdays. Fathers’ MPVA levels correlated significantly with those of boys and girls, with paternal influence appearing to be stronger than maternal influence. However, there was not a significant correlation between fathers’ and children’s TPA. TPA levels of both mothers and fathers correlated with those of girls, but not with those of boys. Parental sedentary levels on the weekend correlated significantly with girls’ levels, but not with boys’ levels. Children’s physical activity levels on weekends were influenced more by fathers’ activity levels than by mothers’, while the opposite was observed on weekdays. Conclusion Sedentary behavior and physical activity levels of parents can strongly influence those of their preschool children, with maternal influence stronger during the weekdays and paternal influence stronger on the weekends. Parents’ activity levels influence girls’ levels more strongly than they influence boys’ levels.

scholarly journals Impact of smartphone use on quality of sleep among medical students

2017 ◽  
Vol 5 (1) ◽  
pp. 101 ◽  
Author(s):  
Mahesh D. Kurugodiyavar ◽  
Sushma H. R. ◽  
Maneesha Godbole ◽  
Manjunath S. Nekar
Keyword(s):  
Medical Students ◽  
Sleep Quality ◽  
Smart Phone ◽  
Cross Sectional Study ◽  
Hierarchical Regression ◽  
Smartphone Addiction ◽  
Poor Sleep ◽  
Undergraduate Medical Students ◽  
Cross Sectional ◽  
Smartphone Use

Background: Smartphone with its various functionalities has become an essential part of our daily activities and its use has been increasing. This has raised concern about its overuse and addiction especially in students. It is known that poor sleep is very common among medical students; there are many studies on sleep quality and its determinants in medical students but very few relating sleep quality and smartphone addiction. The main objective of this study was to investigate the relationship between smartphone use severity and sleep quality among medical students of KIMS, Hubballi. Methods: A cross‑sectional study on sample of 240 undergraduate medical students KIMS, Hubballi was conducted. Students were assessed using a self-administered questionnaire, Smart phone addiction scale (SAS) and Pittsburgh sleep quality inventory (PSQI). SAS score and PSQI scores were co-related. Hierarchical regression analyses were conducted to identify the variables independently associated with level of sleep quality. Results: Out of 240 subjects 117 (48.75%) were poor sleepers & 123 (51.25%) were good sleepers according to PSQI global sleep score. According to SAS score 123 (51.2%) were low users and 117 (48.75%) were high users of Smart phone. The mean (SD) PSQI global score was 4.8 (2.49) and mean (SD) SAS score was 102.93 (22.13). There was positive correlation between SAS score & PSQI score (r=0.343, p<0.001). Gender (β=0.141, p=0.021) & SAS score (β=0.292, p<0.001) were the significant predictors of global PSQI score. Conclusions: This study concludes that in medical students smartphone addiction affects sleep quality significantly and males are particularly more at risk of having poor sleep quality due to excessive smartphone use.  

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.

Accelerometer-Measured Physical Activity and Sedentary Behavior: A Cross-Sectional Study of Brazilian Older Adults

2018 ◽  
Vol 15 (11) ◽  
pp. 811-818 ◽  
Author(s):  
Carla Elane Silva dos Santos ◽  
Sofia Wolker Manta ◽  
Guilherme Pereira Maximiano ◽  
Susana Cararo Confortin ◽  
Tânia Rosane Bertoldo Benedetti ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sedentary Behavior ◽  
Vigorous Physical Activity ◽  
Cross Sectional Study ◽  
Activity Levels ◽  
Cross Sectional ◽  
Aging Study ◽  
Low Levels ◽  
Adjusted Model

Background: To examine the level of physical activity and sedentary behavior (SB), measured with accelerometers, in older adults from a city in southern Brazil according to sociodemographic and health characteristics.Methods: The sample consisted of 425 older adults (≥63 y) from the EpiFloripa Aging Study. Light physical activity (LPA), moderate to vigorous physical activity (MVPA), and SB were measured with accelerometers over a period of 7 days.Results: The older adults spent two-thirds of the time of use in SB, one-third in LPA, and only 2.1% (95% confidence interval, 1.8–2.2) in MVPA. In the final adjusted model, lower levels of MVPA were observed for women, as well as higher SB and lower LPA and MVPA for those with higher age. There were also trends toward prolonged SB and lower LPA when participants had a higher educational level and toward lower MVPA with higher body mass index.Conclusions: Constant monitoring of physical activity levels and SB using objective measures is recommended and interventions should be directed at the groups most exposed to excessive SB and low levels of MVPA.

Effects of sedentary behavior and physical activity on sleep quality in older people: A cross‐sectional study

2019 ◽  
Vol 22 (1) ◽  
pp. 64-71 ◽  
Author(s):  
Jaehoon Seol ◽  
Takumi Abe ◽  
Yuya Fujii ◽  
Kaya Joho ◽  
Tomohiro Okura
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Older People ◽  
Sedentary Behavior ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional

scholarly journals Association between Sleep Quality and Gastroesophageal Reflux in Medical Students

2021 ◽  
Vol 13 (2) ◽  
pp. 139-144
Author(s):  
Azam Teimouri ◽  
Babak Amra
Keyword(s):  
Medical Students ◽  
Gastroesophageal Reflux ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Gastrointestinal Symptoms ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Increased Risk

BACKGROUND Due to stressful occupational conditions, irregular dietary and sleep schedules, medical students are at increased risk of developing gastrointestinal disorders, gastroesophageal reflux (GERD) in particular, as well as sleep disturbances. Therefore, for the first time, we aimed to assess the correlation between GERD and sleep disturbances among medical students. METHODS The current cross-sectional study was done on 290 medical students at different study periods in Iran during 2018-2019. Age, sex, stage of studying, residence, and body mass index were gathered. The frequency scale for the symptoms of gastroesophageal reflux (FSSG) was utilized to assess gastrointestinal symptoms among them and the Pittsburgh Sleep Quality Index (PSQI) to assess sleep quality. Eventually, the association of sleep disturbances with demographic factors and gastrointestinal symptoms was evaluated. RESULTS Living in the dormitory (p = 0.048; OR: 1.73; 95%CI: 1.01-2.99) and being overweight (p < 0.001; OR: 3.09; 95%CI: 1.58-6.06) were independently correlated with impaired sleep quality. GERD presented either by heartburn (p < 0.001) or regurgitation (p < 0.001) was associated with a lower quality of life. CONCLUSION GERD was correlated with poor sleep quality among medical students. In addition, residence in dormitory and being overweight were correlated with poor sleep quality.

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