One‐year longitudinal study found a bidirectional relationship between physical activity and sleep disturbance in teenage Estonian girls

Raudsepp, Lennart

doi:10.1111/apa.14279

Cited by 11 publications

(12 citation statements)

References 29 publications

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“…While the drivers of this high prevalence are not fully understood, today’s profuse availability of food products (leading to higher caloric consumption) [27] as well as an exponential growth in technology (leading to higher daily use of screen devices) [28,29] are both suggested as potential influential factors [29,30]. Sleep problems have also displayed a bidirectional negative association with physical activity (PA) levels among 13-year-old girls in Estonia [31].…”

Section: Introductionmentioning

confidence: 99%

Dietary and Activity Factors Influence Poor Sleep and the Sleep-Obesity Nexus among Children

Morrissey

Allender

Strugnell

2019

IJERPH

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Background: Behavioral factors such as physical activity, sedentary behavior and diet have previously been found to be key modifiable determinants of childhood overweight and obesity, yet require further investigation to provide an understanding of their potential influence on sleep outcomes along with the sleep-obesity nexus. Methods: The study included 2253 students (ages 8.8–13.5) from two monitoring studies across regional Victoria. Students completed a self-report electronic questionnaire on demographic characteristics, health behaviors (including sleep, physical activity, screen time and diet) and well-being, and were invited to have anthropometric measurements (height and weight) taken. Regression models were used to assess the associations between sleep, behavioral factors and BMI z-scores. Results: Screen time (particularly in bed) and sugar-sweetened beverage (SSB) consumption were shown to increase the likelihood of having more than three sleep problems, while physical activity and other dietary factors were not. After controlling for these behaviors, significance remained for having two or more than three sleep problems and an increased odds of overweight/obesity. Conclusions: This study highlights how the usage of screen devices and SSB consumption behaviors might influence children’s weight status via the sleep-obesity nexus.

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Section: Introductionmentioning

confidence: 99%

Dietary and Activity Factors Influence Poor Sleep and the Sleep-Obesity Nexus among Children

Morrissey

Allender

Strugnell

2019

IJERPH

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“…In our sample, 67.03% did not reach sleep time recommendations of 8 to 10 hours daily [ 1 , 18 , 19 ] for adolescents. This high prevalence may be linked to the fact that children’s sleep duration and quality decrease significantly as they progress from childhood to adolescence [ 66 ] due to the delay in melatonin secretion by the pineal gland, necessary for the onset of sleep [ 67 , 68 ].…”

Section: Discussionmentioning

confidence: 99%

Sleep, sedentary behavior, and physical activity in Brazilian adolescents: Achievement recommendations and BMI associations through compositional data analysis

et al. 2022

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Physical activity, sedentary behavior (SB), and sleep are habitual human behaviors (HHB) which are modifiable throughout the different life phases. Therefore, it is necessary to analyze how the time distribution throughout the day among HHB may be associated with body mass index (BMI). These results could provide inferences which can guide interventions that trigger changes in adolescent behaviors in favor of their health. The objective of this study was to verify the proportion of adolescents who meet the recommendation of sleep, moderate to vigorous physical activity (MVPA), and screen time (ST); to analyze the associations between HHB and BMI, and to determine possible changes in BMI associated with time reallocation between different HHB. Daily HHB recommendations (yes/no) were analyzed by frequency distribution. Compositional data analyses were used to examine the association between HHB and the BMI z-score (zBMI) with covariates (sex, age, and socioeconomic status). Compositional isotemporal substitution models estimated the change in zBMI associated with HHB reallocations from 15 to 120 minutes. A total of 185 adolescents were included (15 to 18 years, 50.8% boys). Thus, total sleep time, SB, light physical activity (LPA) and MVPA were measured by 24-hour accelerometry for seven consecutive days. ST, demographic characteristics, and socioeconomic status were assessed using a questionnaire. Sleep, MVPA, and ST recommendations were achieved by 32.97%, 8.10%, and 1.08% of the sample, respectively. No adolescent was able to achieve all of the daily recommendations. Age was significantly and positively associated with zBMI (p<0.001). Simply replacing 75, 90, and 120 minutes of MVPA by LPA led to an estimated significant increase in zBMI (95CI% z-value, 0.01 to 1.49). The HHB relocation estimates in 24h did not show positive effects on zBMI, nor did it increase the time engaged in MVPA, which may raise the hypothesis that other parameters related to obesity and their related interactions need to be better understood.

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“…Estos resultados coinciden con los obtenidos por Sánchez et al (2016), mostrando un importante incremento de calidad de sueño en jóvenes diagnosticados TDAH, tras realizar un programa de AF aeróbica de moderada a vigorosa intensidad (60 minutos/sesión, dos días/semana 12 semanas). Del mismo modo, Raudsepp (2018), analizó las tres noches siguientes a una sesión de 30 min de AF de moderada a vigorosa intensidad a niñas de 13 años de edad (n = 129) concluyendo que el aumento de AF puede ser una estrategia efectiva para mejorar la calidad de sueño durante la adolescencia temprana en adolescentes no TDAH.…”

Section: Discussionunclassified

Efecto crónico del C-HIIT sobre la calidad del sueño y atención selectiva en jóvenes TDAH (Chronic effect of C-HIIT on the quality of sleep and selective attention in young ADHD)

Suárez-Manzano¹,

López-Serrano²,

Abu-Helaiel³

et al. 2021

Retos

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El objetivo del presente estudio fue conocer los efectos de un programa de entrenamiento Cooperative-High Intensity Interval Training (C-HIIT) de 10 semanas, 2 sesiones/semana, y 16 minutos cada sesión, sobre la calidad del sueño y la atención selectiva en niños diagnosticados con Trastorno por Déficit de Atención e Hiperactividad (TDAH). Participaron 52 escolares diagnosticados TDAH (10.13 ± 2.68 años). Se asignaron 24 al grupo de control (11 niñas) y 28 al grupo experimental (17 niñas). La calidad del sueño se midió con la prueba de Pittsburg y la atención selectiva con el test d2. Tras el programa de intervención, el grupo C-HIIT mejoró significativamente la calidad del sueño frente al grupo de control (2.93 ± 1.762 vs. 6.88 ± 2.643, p< 0.001). El grupo C-HIIT mejoró significativamente su nivel de atención selectiva (pre: 42 ± 30.21 vs. post: 64.21 ± 30.57; p< 0.001), mejorando un 21.16% respecto al inicio del estudio. Se concluye, que un programa de C-HIIT aplicado durante al menos 10 semanas en jóvenes con TDAH mejora significativamente su calidad de sueño y la medida de atención, sin embargo, los efectos sobre la concentración y el índice de variación no son concluyentes. Se sugiere incorporar programas específicos de estímulo cooperativo y de alta intensidad en jóvenes TDAH ya que podría ser una herramienta eficaz para mejorar la calidad de sueño y sus niveles de atención selectiva. Abstract. The objective of this study was to know the effects of a Cooperative-High Intensity Interval Training (C-HIIT) training program of 10 weeks, 2 sessions/week, and 16 minutes each session, on the quality of sleep and selective care in children diagnosed with Attention Deficit and Hyperactivity Disorder (ADHD). Fifty-two schoolchildren were diagnosed with ADHD (10.13 ± 2.68 years). Twenty-four were assigned to the control group (11 girls) and 28 to the experimental group (17 girls). The quality of sleep was measured with the Pittsburgh test and selective attention with the d2 test. After the intervention program, the C-HIIT group significantly improved sleep quality compared to the control group (2.93 ± 1.762 vs. 6.88 ± 2.643, p< 0.001). The C-HIIT group significantly improved its level of selective care (pre: 42 ± 30.21 vs. post: 64.21 ± 30.57; p< 0.001), improving 21.16% with respect to the beginning of the study. It is concluded that a C-HIIT program applied for at least 10 weeks in young people with ADHD significantly improves their quality of sleep and the measure of attention, however, the effects on concentration and the rate of variation are not conclusive. It is suggested to incorporate specific programs of cooperative and high intensity stimulation in young ADHD as it could be an effective tool to improve the quality of sleep and their levels of selective care.

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One‐year longitudinal study found a bidirectional relationship between physical activity and sleep disturbance in teenage Estonian girls

Abstract: These results suggest that increasing PA may be an effective strategy for improving the quality of sleep in girls during early adolescence.

Cited by 11 publications

References 29 publications

Dietary and Activity Factors Influence Poor Sleep and the Sleep-Obesity Nexus among Children

Dietary and Activity Factors Influence Poor Sleep and the Sleep-Obesity Nexus among Children

Sleep, sedentary behavior, and physical activity in Brazilian adolescents: Achievement recommendations and BMI associations through compositional data analysis

Efecto crónico del C-HIIT sobre la calidad del sueño y atención selectiva en jóvenes TDAH (Chronic effect of C-HIIT on the quality of sleep and selective attention in young ADHD)

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