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 ◽  
...  

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.

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1017.2-1018
Author(s):  
N. Kelly ◽  
E. Hawkins ◽  
H. O’leary ◽  
K. Quinn ◽  
G. Murphy ◽  
...  

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


2020 ◽  
Author(s):  
Reema M Al Jalal ◽  
Alaa I. Ibrahim ◽  
Turki S. Abualait

Abstract Background Child development has critical links to his ability to see and hear. When these senses are impaired, everything is impacted. The aim of this study was to investigate the effect of visual and hearing impairments on physical activity and sleep quality in a comparison with the normal sighted-hearing children. Methods This cross-sectional study included 60 Saudi children (20 blind, 20 sensorineural deaf, and 20 sighted-hearing) aged 10 to 15 years old. The physical activity levels and sleep quality were assessed using a waist-mounted ActiGraph accelerometer. Results Children with sensorineural deafness were significantly more active (in step rate and activity rate) than the sighted-hearing group (p = 0.05 and 0.003, respectively). Sighted-hearing children and children with blindness had significantly more sedentary time than children with sensorineural deafness (p = 0.004 and 0.03, respectively). Sleep efficiency was significantly higher in children with sensorineural deafness than sighted-hearing children (p = 0.02). No significant difference was recorded in any of the sleep parameters when children with blindness were compared to the sighted-hearing or children with sensorineural deafness (p > 0.05). Conclusions The ActiGraph results revealed that children with sensorineural deafness were significantly more active and with higher sleep efficiency than sighted-hearing children. Children with blindness spent more time in sedentary activities and less time in moderate activities than children with sensorineural deafness. There was no significant difference in sleep efficiency when comparing sensorineural deaf and blind children.


2015 ◽  
Vol 28 (3) ◽  
pp. 296-305 ◽  
Author(s):  
Belgüzar Kara ◽  
Elif Gökçe Tenekeci

Purpose: The purpose of this study was to evaluate sleep quality and to explore its associations with participant characteristics, anemia, excessive daytime sleepiness, and physical activity in older Turkish adults with hypertension. Method: This cross-sectional study included 128 adults aged 60 years or older with hypertension. Data were collected by using a personal information form, the Pittsburgh Sleep Quality Index, the Epworth Sleepiness Scale, and the International Physical Activity Questionnaire. Anemia was assessed by hemoglobin levels. Results: Eighty-one patients (63.3%) reported poor sleep quality. Anemia was present in 35.2% of the patients (defined as hemoglobin <13 g/dL for males and <12 g/dL for females). Female gender, the presence of anemia, and low levels of physical activity were associated with poor sleep quality. Conclusion/Implication: The majority of the participants had poor sleep quality. Better understanding of risk factors associated with poor sleep quality may contribute to more effective interventions to improve health and well-being.


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 ◽  
...  

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.


2021 ◽  
Vol 12 ◽  
Author(s):  
Karla Cardoso de Souza ◽  
Tassia Barcelos Mendes ◽  
Tabatah Hellen Santos Gomes ◽  
Ariana Aline da Silva ◽  
Luiz Henrique da Silva Nali ◽  
...  

Objective: This study aimed to compare the time in physical activity (PA) [light (LPA), moderate and vigorous (MVPA)] and sedentary behavior (SB) (weekdays, weekends, or both) between Medical (MED) and Physical Education (PE) students who underwent remote classes imposed by the COVID-19. In addition, we compared symptoms of depression and anxiety and sleep quality.Methods: A cross-sectional study (272 MED and 95 PE students). The International Physical Activity Questionnaire (IPAQ), Beck Inventory (Anxiety, Depression), and Pittsburgh Sleep Quality were used to assess PA and SB, anxiety and depression symptoms, and quality of sleep, respectively. The data are presented as median and interquartile intervals 25–75.Results: We observed statistically significant differences between MED and PE students for MVPA [MED: 165 min per week (0–360) vs. PE: 420 min per week (180–670), p &lt; 0.001], SB Total [MED: 10 h per day (8–12) vs. PE: 7 h per day (5–10), p &lt; 0.001)], and anxiety symptoms [MED: 13 points (5–23) vs. PE: six points (2–16), p &lt; 0.001)].Conclusion: Together, our findings indicate that MED students spent less time in MVPA and more time in SB than PE students. MED students also presented worse mental health in the pandemic situation imposed by the COVID-19.


2017 ◽  
Vol 33 (7) ◽  
pp. 343
Author(s):  
Siti Nurfadilah H ◽  
Madarina Julia ◽  
Riris Andono Ahmad

PurposeThe purpose of this study was to explore the relationship between physical activity and screen based activity with sleep patterns in adolescents.MethodsA cross-sectional study was conducted among junior high school students in August 2016. Samples were 536 respondents selected using stratified random sampling. Data were collected through interviews with a structured questionnaire, and measurements of height and waist circumference. Data analyses used chi-square, mann-whitney and logistic regression tests to explore factors associated with sleep pattern.ResultsOut off 536 respondents, poor sleep quality (34.5%) and short sleep duration (45.3%) happened among female adolescents. There was a significant correlation between screen based activity with sleep quality in adolescents. Physical activity had a significant relationship with sleep duration.ConclusionPhysical activity and SBA was associated with adolescent sleep patterns. Appropriate educational promotions by the Kulon Progo education authorities should be conducted to provide information about the importance of adequate sleep.


2021 ◽  
Vol 12 ◽  
Author(s):  
Oliver Vogel ◽  
Daniel Niederer ◽  
Jan Wilke ◽  
Inaam El-Rajab ◽  
Lutz Vogt

Background: Physical activity and sleep quality are both major factors for improving one's health. Knowledge on the interactions of sleep quality and the amount of physical activity may be helpful for implementing multimodal health interventions in older adults.Methods: This preliminary cross-sectional study is based on 64 participants [82.1 ± 6.4 years (MD ± SD); 22 male: 42 female]. The amount of physical activity was assessed by means of an accelerometer (MyWellness Key). Self-reported sleep parameters were obtained using the Pittsburgh Sleep Quality Index. The Barthel Index was used for physical disability rating. Bivariate correlations (Spearman's Rho) were used to explore relationships between the amount of physical activity and sleep quality. To analyse differences between categorial subgroups univariate ANOVAs were applied; in cases of significance, these were followed by Tukey-HSD post-hoc analyses.Results: No linear association between physical activity and sleep quality was found (r = 0.119; p &gt; 0.05). In subgroup analyses (n = 41, Barthel Index ≥90 pts, free of pre-existing conditions), physical activity levels differed significantly between groups of different sleep duration (≥7 h; ≥6 to &lt;7 h; ≥5 to &lt;6 h; &lt;5h; p = 0.037).Conclusion: There is no general association between higher activity levels and better sleep quality in the investigated cohort. However, a sleep duration of ≥5 to &lt;6 h, corresponding to 7.6 h bed rest time, was associated with a higher level of physical activity.


2021 ◽  
Vol 9 (3) ◽  
pp. 934-944
Author(s):  
Randah Miqbil Alqurashi

The World Health Organization (WHO) declared the coronavirus disease (COVID-19) to be a pandemic in March 2020 due to growing case notification rates worldwide. This study was designed to investigate nutritional habits and lifestyle changes among people living in the Kingdom of Saudi Arabia (KSA) during the COVID-19 lockdown. A cross-sectional study of 208 adults aged 18 to 56 years living in the KSA was conducted between March and May 2020. Participants were identified and invited to complete an online survey. Google Docs forms were used by participants to self-report their nutritional habits, lifestyles, and physical activity levels during the lockdown. Of the 208 participants, 88.9% were female. More than half of the participants (58.1%) reported an increase in their food consumption during the lockdown, which included a higher intake of fast food (47.1%), sweets (48.5%), and fruits and vegetables (49%). 30.8% of participants reported an increase in body weight during the lockdown, while 32.2% reported a decrease. Staying at home or working from home was associated with decreased levels of physical activity in 39% of participants. This study provides the first data on changes in nutritional habits and lifestyles during the COVID-19 quarantine. Our findings suggest that people should decrease their intake of foods that are high in fat and sugar and increase their physical activity levels to maintain a healthy lifestyle.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hongyan Wang ◽  
Xiaoling Dai ◽  
Zichuan Yao ◽  
Xianqing Zhu ◽  
Yunzhong Jiang ◽  
...  

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.


Nutrients ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 585
Author(s):  
Aina Riera-Sampol ◽  
Miquel Bennasar-Veny ◽  
Pedro Tauler ◽  
Mar Nafría ◽  
Miquel Colom ◽  
...  

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.


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