Sociodemographic Predictors of Changes in Physical Activity, Screen Time, and Sleep Among Toddlers and Pre-Schoolers in Chile During the COVID-19 Pandemic

The aim was to examine the sociodemographic predictors associated with changes in movement behaviours (physical activity, screen time and sleep) among toddlers and pre-schoolers during the early stages of the coronavirus disease 2019 pandemic in Chile. Caregivers of 1- to 5-year-old children completed an online survey between March 30th and April 27th, 2020. Information about the child's movement behaviours before (retrospectively) and during the pandemic, as well as family characteristics were reported. In total, 3,157 participants provided complete data (mean children age: 3.1±1.38 years). During early stages of the pandemic, time spent in physical activity decreased, recreational screen time and sleep duration increased, and sleep quality declined. Toddlers and pre-schoolers with space to play at home and living in rural areas experienced an attenuated impact of the pandemic restrictions on their physical activity levels, screen time, and sleep quality. Older children, those whose caregivers had a higher educational level, and children living in apartments had greater changes, mainly a decrease in total physical activity and increase in screen time. This study has shown the significant impact of the pandemic restrictions on movement behaviours in toddlers and pre-schoolers in Chile.

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Sociodemographic Predictors of Changes in Physical Activity, Screen Time, and Sleep among Toddlers and Preschoolers in Chile during the COVID-19 Pandemic

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18010176 ◽

2020 ◽

Vol 18 (1) ◽

pp. 176

Author(s):

Nicolas Aguilar-Farias ◽

Marcelo Toledo-Vargas ◽

Sebastian Miranda-Marquez ◽

Andrea Cortinez-O'Ryan ◽

Carlos Cristi-Montero ◽

...

Keyword(s):

Physical Activity ◽

Sleep Quality ◽

Rural Areas ◽

Screen Time ◽

Online Survey ◽

Family Characteristics ◽

Activity Levels ◽

Older Children ◽

Early Stages ◽

Sociodemographic Predictors

The aim was to examine the sociodemographic predictors associated with changes in movement behaviors (physical activity, screen time, and sleep) among toddlers and preschoolers during the early stages of the coronavirus disease 2019 pandemic in Chile. Caregivers of 1- to 5-year-old children completed an online survey between 30 March and 27 April 2020. Information about the child’s movement behaviors before (retrospectively) and during the pandemic, as well as family characteristics were reported. In total, 3157 participants provided complete data (mean children age: 3.1 ± 1.38 years). During early stages of the pandemic, time spent in physical activity decreased, recreational screen time and sleep duration increased, and sleep quality declined. Toddlers and preschoolers with space to play at home and living in rural areas experienced an attenuated impact of the pandemic restrictions on their physical activity levels, screen time, and sleep quality. Older children, those whose caregivers were aged ≥35–<45 years and had a higher educational level, and those living in apartments had greater changes, mainly a decrease in total physical activity and increase in screen time. This study has shown the significant impact of the pandemic restrictions on movement behaviors in toddlers and preschoolers in Chile.

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Diet, Physical Activity, and Screen Time to Sleep Better: Multiple Mediation Analysis of Lifestyle Factors in School-Aged Children with and without Attention Deficit Hyperactivity Disorder

Journal of Attention Disorders ◽

10.1177/1087054720940417 ◽

2020 ◽

pp. 108705472094041 ◽

Cited By ~ 1

Author(s):

George C.C. Hong ◽

Russell Conduit ◽

Jason Wong ◽

Mirella Di Benedetto ◽

Eunro Lee

Keyword(s):

Physical Activity ◽

Sleep Quality ◽

Multiple Regression ◽

Screen Time ◽

Online Survey ◽

Lifestyle Factors ◽

Equation Modeling ◽

Mediation Effects ◽

School Aged Children ◽

The Impact

Objective: This study examined the mediation roles of multiple lifestyle factors in school-aged children. Structural equation modeling (SEM) tested how lifestyle factors play mechanism roles one another in the impact of ADHD to seek theoretical and intervention insights. Method: An online survey assessed children’s lifestyle factors including diet, physical activity, screen time, sleep difficulties, and having ADHD diagnosis. A multi-country sample from English speaking nations included 309 caregivers. Multiple regression and SEM were planned to identify significant correlates and mediators of ADHD in explaining lifestyle differences. Results: Preliminary multiple regression showed only sleep quality was significantly different between children with and without ADHD. Significant triple mediation effects suggested diet, physical activity, and screen time mediated the ADHD impact on sleep quality. Conclusion: Researchers and practitioners may incorporate the findings to develop intervention models for children with ADHD attending to the mediational roles of lifestyle factors to improve sleep quality.

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The Physical Activity–Related Barriers and Facilitators Perceived by Men Living in Rural Communities

American Journal of Men s Health ◽

10.1177/1557988315598368 ◽

2015 ◽

Vol 11 (4) ◽

pp. 1130-1132 ◽

Cited By ~ 4

Author(s):

Adam G. Gavarkovs ◽

Shauna M. Burke ◽

Robert J. Petrella

Keyword(s):

Physical Activity ◽

Rural Communities ◽

Rural Areas ◽

Online Survey ◽

Protective Factor ◽

Barriers And Facilitators ◽

Activity Levels ◽

National Guidelines ◽

Small Communities ◽

Response Options

Men, especially those living in rural areas, experience chronic disease at higher rates than the general population. Physical activity is a well-established protective factor against many chronic diseases; however, only a small fraction of men are meeting national guidelines for physical activity. The purpose of this study was to examine the perceived physical activity–related barriers and facilitators experienced by men living in rural areas in Canada. Participants completed a paper-and-pencil or online survey and asked to select personally relevant physical activity-related barriers and facilitators from a list of 9 and 10 choices, respectively. A total of 149 men completed the survey (50.3% between the ages of 18 and 55 years; 43.0% older than 55 years). Participants were predominantly from rural areas and smaller communities. Overall, the response options “I’m too tired,” “I don’t have enough time,” and “I think I get enough exercise as work” were the three most frequently cited barriers to regular physical activity. The response options “Personal motivation to be healthy,” “I enjoy it,” and “Support from family and/or friends” were the three most often cited facilitators to physical activity. Results are similar to those shown in other populations. Results can be used to inform the development of policies and programs that aim to increase the physical activity levels of men living in rural areas and small communities.

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Exploring the effects of COVID-19 restrictions on wellbeing across different styles of lockdown

10.31234/osf.io/9vwtf ◽

2021 ◽

Author(s):

Joanne Ingram ◽

Christopher Hand ◽

Yuko Hijikata ◽

Greg Maciejewski

Keyword(s):

Physical Activity ◽

Alcohol Consumption ◽

Sleep Quality ◽

Online Survey ◽

Negative Mood ◽

Health Behaviours ◽

Activity Levels ◽

Demographic Information ◽

Health Behaviour Change ◽

Perceived Sleep Quality

Globally, everyday life has been restricted – varyingly – to control the COVID-19 pandemic. In January 2021, nationwide “lockdown” was enacted in Scotland with breaches punishable by law. Contrastingly, Japanese restrictions were managed prefecture-by-prefecture, with opportunities for travel and interaction, with citizens requested rather than required to conform. To explore these differential strategies’ impact, we conducted a transnational online survey of health behaviours and wellbeing. In February 2021, 138 Scottish and 139 Japanese participants provided demographic information, pandemic-induced health behaviour-change (i.e., alcohol consumption, diet, perceived sleep quality, physical activity), negative mood scores (NMS), and perceived isolation. Scottish participants’ health behaviours were characterised by change (typically negative), whereas Japanese participants’ behaviours were more-stable. However, Scots were more-likely than Japanese participants to have positively-changed their physical activity levels. Negative changes in perceived sleep quality and activity levels were associated with greater NMS; furthermore, negative changes in alcohol consumption, diet, sleep quality, and activity were associated with greater perceived isolation. Japanese participants reported greater NMS; there was no transnational difference in perceived isolation.

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Effect of COVID-19-Related Home Confinement on Sleep Quality, Screen Time and Physical Activity in Tunisian Boys and Girls: A Survey

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18063065 ◽

2021 ◽

Vol 18 (6) ◽

pp. 3065

Author(s):

Rihab Abid ◽

Achraf Ammar ◽

Rami Maaloul ◽

Nizar Souissi ◽

Omar Hammouda

Keyword(s):

Physical Activity ◽

Sleep Quality ◽

Digital Media ◽

Screen Time ◽

Sleep Disturbances ◽

Online Survey ◽

Special Focus ◽

Stressful Situation ◽

Subjective Sleep Quality ◽

Negative Effect

COVID-19 home confinement has led to a stressful situation for children around the world and affected their lifestyle. The present study aimed to investigate the effect of these restrictions on sleep quality, screen time (ST) and physical activity (PA) in Tunisian children with a special focus on gender differences. An online survey was launched in April 2020. Questions were presented in a differential format, with expected responses related to “before” and “during” confinement. Participants (52 boys and 48 girls, age: 8.66 ± 3.3 years) responded to the Pittsburgh Sleep Quality Index (PSQI), the digital media use, and the Ricci and Gagnon sedentary behavior questionnaires. Findings revealed that COVID19 home confinement had a negative effect on all the considered parameters (p < 0.05). Significant effects of gender were found on sleep disturbances (p = 0.016, np2 = 0.05), subjective sleep quality (p < 0.01, np2 = 0.07), global score of PSQI (p = 0.01, np2 = 0.01) and nocturnal and global screen time (p < 0.001, np2 = 0.09) with poorer sleep and higher screen time in girls compared to boys during home confinement. A significant correlation was shown between Global ST and PSQI score (r = 0.39, p < 0.001). Programs of PA for children and sensitization campaigns against the use of screens have been deemed urgent with special focus oriented to girls.

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379 Do Depressive Symptoms Mediate the Association Between Insomnia and Physical Activity?

SLEEP ◽

10.1093/sleep/zsab072.378 ◽

2021 ◽

Vol 44 (Supplement_2) ◽

pp. A150-A151

Author(s):

Jamie Walker ◽

Rebecca Campbell ◽

Ivan Vargas

Keyword(s):

Physical Activity ◽

Depressive Symptoms ◽

Online Survey ◽

Longitudinal Design ◽

Energy Levels ◽

Depression Scale ◽

Severity Index ◽

Future Research ◽

Activity Levels ◽

Insomnia Symptoms

Abstract Introduction Insomnia and depression are highly comorbid and have been shown to be independently associated with lower levels of physical activity. It is not clear, however, if being less physically active is a risk factor for or consequence of depression and insomnia. The factors that explain the associations between insomnia, depression, and physical activity are likely complex and overlapping. For example, insomnia may predict inactivity by impacting one’s energy levels, leaving them too tired to exercise. Insomnia may also interfere with one’s motivation to exercise due to low mood, as insomnia is associated with the development of depressive symptoms. The purpose of the present study was to explore whether depression mediated the link between insomnia and low levels of physical activity. Methods A national online survey was conducted from April-June 2020. Participants completed surveys to assess demographics, mood, sleep, and physical activity. Depressive symptoms were estimated with the Center for Epidemiologic Studies Depression Scale (CES-D). Insomnia symptoms were estimated with the Insomnia Severity Index (ISI). Physical activity levels were estimated with the International Physical Activity Questionnaire (IPAQ). Analyses were conducted using multiple linear regression, with separate models for depression, insomnia, and the combination of the two, on levels of physical activity. Results 3,952 adults (Mage = 46.9 years) completed the survey. According to the unadjusted models, greater insomnia symptoms were associated with greater depressive symptoms (b = 0.4523, SE = 0.019593, p < .001), and lower levels of physical activity (b = -38.741, SE = 18.236, p = 0.0337). The relationship between insomnia and physical activity was no longer significant, however, when controlling for depression (b = -6.140, SE = 19.274, p = 0.75). According to the mediation analyses, there was an indirect effect of insomnia on physical activity that was explained by differences in depressive symptoms (Sobel Test = -4.895, SE = 6.518, p < .001). Conclusion Our findings support previous research indicating associations between symptoms of insomnia and depression and physical activity. Future research should examine if these same results hold using a longitudinal design. Support (if any) Vargas: K23HL141581

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Physical Activity as a Predictor of the Level of Stress and Quality of Sleep during COVID-19 Lockdown

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18115811 ◽

2021 ◽

Vol 18 (11) ◽

pp. 5811

Author(s):

Anna Lipert ◽

Remigiusz Kozłowski ◽

Dariusz Timler ◽

Michał Marczak ◽

Kamila Musiał ◽

...

Keyword(s):

Physical Activity ◽

Sleep Quality ◽

Online Survey ◽

Short Form ◽

Well Being ◽

Poor Quality ◽

Quality Of Sleep ◽

Low Level ◽

The Government

Background: The coronavirus pandemic and the government restrictions significantly disturbed the daily functioning of people, thereby influencing healthy behaviors, such as physical activity—the core indicator of well-being. This study evaluates the associations between physical activity (PA), the level of stress and quality of sleep during the COVID-19 pandemic lockdown. Methods: An online survey was distributed during the governmental lockdown in April 2020 and included measures for assessing physical activity, stress and sleep. The surveyed participants included all adults aged 18 years and over. The final data were collected from the 1959 respondents using: International Physical Activity Questionnaire-Short Form (IPAQ-SF), Perceived Stress Scale (PSS) and Pittsburgh Sleep Quality Index (PSQI). Findings: Almost half of the respondents indicated a low level of PA, performing only 60 min of PA daily. Most of the participants reported a moderate or high level of stress (57% and 29%, respectively) and 64% of them reported poor quality of sleep. People with low levels of stress performed on average 85.1 min/day of walking (WPA), 40.9 min/day of moderate PA (MPA) or 52.6 min/day of vigorous PA (VPA). People with good quality of sleep performed 82.9 min/day of WPA, 43.6 min/day MPA and 40.5 min/day VPA. Interpretation: The results from the study indicate that the volume of daily PA may be a predictor of the level of stress and sleep quality in adults during the COVID-19 pandemic lockdown. To retain a low level of stress and good quality of sleep, a lifestyle that allows to achieve a moderate level of physical activity should be maintained. The optimal daily dose of PA is at least 70 min per day, involving different intensities.

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660 Chronotype Associations with Insomnia, Depressive Symptoms, and Changes in Sleep and Health Behaviors during the COVID-19 Pandemic

SLEEP ◽

10.1093/sleep/zsab072.658 ◽

2021 ◽

Vol 44 (Supplement_2) ◽

pp. A258-A258

Author(s):

Megan Petrov ◽

Matthew Buman ◽

Dana Epstein ◽

Shawn Youngstedt ◽

Nicole Hoffmann ◽

...

Keyword(s):

Physical Activity ◽

Depressive Symptoms ◽

Health Behaviors ◽

Screen Time ◽

Online Survey ◽

Light Exposure ◽

Multinomial Logistic Regression ◽

Depression Scale ◽

Time In Bed ◽

Significant Difference

Abstract Introduction Evening chronotype (i.e., night owl preference) is associated with worse insomnia and depressive symptoms, and poorer health behaviors. The aim of this study was to examine the association between chronotype and these symptoms and health behaviors during COVID-19 pandemic quarantine. Methods An online survey, distributed internationally via social media from 5/21/2020–7/1/2020, asked adults to report sociodemographic/economic information, changes in sleep (midpoint, total sleep time, sleep efficiency, time-in-bed), and health behaviors (i.e., physical activity, sedentary screen time, and outdoor light exposure patterns) from prior to during the pandemic, chronotype preference (definitely morning [DM], rather more morning [RM], rather more evening [RE], or definitely evening [DE]), and complete the Insomnia Severity Index (ISI) and the 10-item Center for Epidemiologic Studies Depression scale (CES-D-10). Multinomial logistic regression and ANCOVA models, adjusting for age and sex, examined associations of chronotype with COVID-19 pandemic related impacts on sleep, depressive symptoms, and health behaviors. Results A subsample of 579 participants (M age: 39y, range: 18–80; 73.6% female), currently under quarantine and neither pregnant nor performing shift work, represented each chronotype evenly (~25%). Participants delayed their sleep midpoint by 72.0min (SD=111.5) during the pandemic. DE chronotypes had a greater delay than morning types (M±SD DE: 91.0±9.0 vs. RM: 55.9±9.2 & DM: 66.1±9.3; p=0.046) with no significant change in other sleep patterns relative to other chronotypes. However, DE and RE chronotypes had greater odds of reporting that their new sleep/wake schedule was still not consistent with their “body clock” preference relative to morning types (Χ2[15]=54.8, p<0.001), reported greater ISI (F[3,503]=5.3, p=.001) and CES-D-10 scores (F[3,492]=7.9, p<.001), and had greater odds for increased or consistently moderate-to-high sedentary screen time (Χ2[12]=22.7, p=0.03) and decreased physical activity (Χ2[12]=22.5, p=0.03) than DM chronotype. There was no significant difference in change in outdoor light exposure by chronotype (Χ2[12]=12.1, p=0.43). Conclusion In an international online sample of adults under COVID-19 pandemic quarantine, evening chronotypes, despite taking the opportunity to delay sleep to match biological clock preference, reported their sleep/wake schedules were still inconsistent with personal preference, and reported greater insomnia and depressive symptoms, and odds of engaging in poorer health behaviors than morning chronotypes. Support (if any):

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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 ◽

10.47197/retos.v43i0.88461 ◽

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.

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Rural Neighborhood Walkability: Implications for Assessment

Journal of Physical Activity and Health ◽

10.1123/jpah.2013-0431 ◽

2015 ◽

Vol 12 (s1) ◽

pp. S40-S45 ◽

Cited By ~ 12

Author(s):

Michelle C. Kegler ◽

Iris Alcantara ◽

Regine Haardörfer ◽

Alexandra Gemma ◽

Denise Ballard ◽

...

Keyword(s):

Physical Activity ◽

Rural Communities ◽

Rural Areas ◽

Walking Distance ◽

Activity Levels ◽

Structured Interviews ◽

Physically Active ◽

Neighborhood Walkability ◽

Bodies Of Water ◽

Active Adults

Background:Physical activity levels, including walking, are lower in the southern U.S., particularly in rural areas. This study investigated the concept of rural neighborhood walkability to aid in developing tools for assessing walkability and to identify intervention targets in rural communities.Methods:Semi-structured interviews were conducted with physically active adults (n = 29) in rural Georgia. Mean age of participants was 55.9 years; 66% were male, 76% were white, and 24% were African American. Participants drew maps of their neighborhoods and discussed the relevance of typical domains of walkability to their decisions to exercise. Comparative analyses were conducted to identify major themes.Results:The majority felt the concept of neighborhood was applicable and viewed their neighborhood as small geographically (less than 0.5 square miles). Sidewalks were not viewed as essential for neighborhood-based physical activity and typical destinations for walking were largely absent. Destinations within walking distance included neighbors’ homes and bodies of water. Views were mixed on whether shade, safety, dogs, and aesthetics affected decisions to exercise in their neighborhoods.Conclusions:Measures of neighborhood walkability in rural areas should acknowledge the small size of self-defined neighborhoods, that walking in rural areas is likely for leisure time exercise, and that some domains may not be relevant.

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