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      Acute intense exercise improves sleep and decreases next morning consumption of energy‐dense food in adolescent girls with obesity and evening chronotype

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          A self-assessment questionnaire to determine morningness-eveningness in human circadian rhythms.

          An English language self-assessment Morningness-Eveningness questionnaire is presented and evaluated against individual differences in the circadian vatiation of oral temperature. 48 subjects falling into Morning, Evening and Intermediate type categories regularly took their temperature. Circadian peak time were identified from the smoothed temperature curves of each subject. Results showed that Morning types and a significantly earlier peak time than Evening types and tended to have a higher daytime temperature and lower post peak temperature. The Intermediate type had temperatures between those of the other groups. Although no significant differences in sleep lengths were found between the three types, Morning types retired and arose significantly earlier than Evening types. Whilst these time significatly correlated with peak time, the questionnaire showed a higher peak time correlation. Although sleep habits are an important déterminant of peak time there are other contibutory factors, and these appear to be partly covered by the questionnaire. Although the questionnaire appears to be valid, further evaluation using a wider subject population is required.
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            The pediatric daytime sleepiness scale (PDSS): sleep habits and school outcomes in middle-school children.

            To develop a measure of daytime sleepiness suitable for middle-school children and examine the relationship between daytime sleepiness and school-related outcomes. Self-report questionnaire. Four hundred fifty, 11- to 15-year-old students, from grades 6, 7, and 8 of a public middle school in Dayton, Ohio. A pediatric daytime sleepiness questionnaire was developed using factor analysis of questions regarding sleep-related behaviors. Results of the sleepiness questionnaire were then compared across other variables, including daily sleep patterns, school achievement, mood, and extracurricular activities. Factor analysis on the 13 questions related to daytime sleepiness yielded 1 primary factor ("pediatric daytime sleepiness"; 32% of variance). Only items with factor loadings above .4 were included in the final sleepiness scale. Internal consistency (Chronbach's alpha) for the final 8-item scale was .80. Separate one-way analyses of variance and trend analyses were performed comparing pediatric daytime sleepiness scores at the 5 different levels of total sleep time and academic achievement. Participants who reported low school achievement, high rates of absenteeism, low school enjoyment, low total sleep time, and frequent illness reported significantly higher levels of daytime sleepiness compared to children with better school-related outcomes. The self-report scale developed in the present work is suitable for middle-school-age children and may be useful in future research given its ease of administration and robust psychometric properties. Daytime sleepiness is related to reduced educational achievement and other negative school-related outcomes.
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              The handbook of research synthesis

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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Pediatric Obesity
                Pediatric Obesity
                Wiley
                2047-6302
                2047-6310
                June 2020
                February 04 2020
                June 2020
                : 15
                : 6
                Affiliations
                [1 ]Laboratoire des Adaptations Métaboliques en conditions Physiologiques et Physiopathologiques (AME2P)Université Clermont Auvergne Clermont‐Ferrand France
                [2 ]CRNH‐Auvergne Clermont‐Ferrand France
                [3 ]CHU Clermont‐Ferrand, PédiatrieHôpital Estaing Clermont‐Ferrand France
                [4 ]INSERMUniversité Clermont Auvergne Clermont‐Ferrand France
                [5 ]Laboratoire Impact de l'Activité Physique sur la Santé (IAPS)Université de Toulon Toulon France
                [6 ]INRA, UMR 1019 UNH, ECREINUniversité Clermont Auvergne, INRA Clermont‐Ferrand France
                Article
                10.1111/ijpo.12613
                438fa494-094d-4e59-88f5-2c52beec3147
                © 2020

                http://onlinelibrary.wiley.com/termsAndConditions#vor

                http://doi.wiley.com/10.1002/tdm_license_1.1

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