Publications by authors named "Satomi Sawa"

The recent prolonged COVID-19 pandemic has worsened the daily lives of preschoolers and elementary school children worldwide. Although these changes may have affected their mental health, the full picture still remains unknown. Since March 2020, Japan has intermittently experienced several COVID-19 waves.

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This study explored the associations of lifestyle, familial, and social factors with sleep habits in 1882 elementary school children, aged 6-13 years, from the Super Shokuiku School Project in January 2016. A survey assessed sex, grade, sleep habits, lifestyle, social background, and parental lifestyle. Bedtime "≥22:00," wake-up time "≥07:00," sleep duration "<8 h," and "daytime sleepiness" were defined as poor sleep habits; correlates were analyzed using logistic regression.

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Background: Many studies have already reported on the relationship between exercise habits and health among schoolchildren. However, few have examined social and/or family factors as determinants of exercise habits.

Methods: This study's participants included 1721 schoolchildren aged between 6 and 13 who were involved in the Super Shokuiku School Project in January 2016.

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The relationship between certain lifestyle habits and schoolchildren's health has previously been reported on, but the exact pathway of the effects lifestyle habits have on physical/psychosocial health (PPH) has not been investigated nor has the relative influence of different habits on schoolchildren's health. In this study, schoolchildren were recruited from a primary school in Toyama Prefecture, Japan ( = 576), and the relevant data were collected in June/July 2017. Path analysis was used to examine the relationships of lifestyle habits and physical fitness with PPH among schoolchildren in grades 1-4 and 5-6.

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Background: Although fall predictions using motor ability have been well reported in elderly people, there are few reports on physical cognitive ability.

Objective: To examine the relationship of the results of motor function tests that include physical cognitive ability on the ability to predict falls and to determine which test is the most appropriate.

Methods: We studied 174 community-dwelling elderly adults (mean age 75.

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