scholarly journals Associations of physical activity and screen time with suboptimal health status and sleep quality among Chinese college freshmen: A cross-sectional study

PLoS ONE ◽  
2020 ◽  
Vol 15 (9) ◽  
pp. e0239429 ◽  
Author(s):  
Chenjin Ma ◽  
Long Zhou ◽  
Wangli Xu ◽  
Shuangge Ma ◽  
Yu Wang
2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Yunlian Xue ◽  
Zhuomin Huang ◽  
Guihao Liu ◽  
Zicheng Zhang ◽  
Yefang Feng ◽  
...  

Abstract Introduction Suboptimal health status (SHS), an intermediate state between chronic disease and health, is characterized by chronic fatigue, non-specific pain, headaches, dizziness, anxiety, depression, and functional system disorders with a high prevalence worldwide. Although some lifestyle factors (e.g. smoking, alcohol consumption, physical exercise) and environmental factors (e.g. air quality, noise, living conditions) have already been studied, few studies can comprehensively illustrate the associations of lifestyle and environment factors with general, physical, mental, and social SHS. Methods A cross-sectional study was conducted among 6750 urban residents aged 14 years or over in five random cities from September 2017 to September 2018 through face-to-face questionnaires. There were 5881 valid questionnaires with a response rate of 87%. A general linear model and structural equation model were developed to quantify the effects of lifestyle behaviors and environment factors on SHS. Results The detection rates of general, physical, mental, and social SHS were 66.7, 67.0, 65.5, and 70.0%, respectively. Good lifestyle behaviors and favorable environment factors positively affected SHS (P < 0.001). Lifestyle behaviors had the largest effect on physical SHS (β = − 0.418), but the least on social SHS (β = − 0.274). Environment factors had the largest effect on mental SHS (β = 0.286), but the least on physical SHS (β = 0.225). Conclusions Lifestyle behaviors and environment factors were important influencing factors of SHS. Physical SHS was more associated with lifestyle. Lifestyle and environment were similarly associated with mental and social SHS.


Author(s):  
Yaxuan Zhang ◽  
Jiwei Wang ◽  
Xinyuan Lu ◽  
Beibei Che ◽  
Jinming Yu

This study aimed to investigate prolonged screen time and using electronic devices before sleep and their associated factors in elderly people in Shaanxi province of China. We conducted a cross-sectional study among 2647 elderly participants aged 60–88 years. Data were collected through questionnaires. Demographic characteristics, screen time, using electronic devices before sleep, health status, lifestyles, sleep quality, and other associated factors were investigated. Logistic regression analysis was used to analyze the relationship between the associated factors of screen time and using electronic devices before sleep. The crude odds ratio (cOR) and adjusted odds ratio (aOR) and their 95% confidence intervals (CI) were calculated. A total of 1784 subjects completed the questionnaire. There were 6.89% participants with prolonged screen time and 13.45% using electronic devices before sleep frequently. Prolonged screen time was associated with personal monthly income (aOR = 1.205, p = 0.001), number of household residents (aOR = 0.860, p = 0.010), rural residents (aOR = 0.617, p = 0.038), and regular drinkers (aOR = 2.889, p < 0.001). Using electronic devices before sleep was associated with being female (aOR = 0.657, p = 0.007), family monthly income (aOR = 0.866, p = 0.002), being an occasional drinker (aOR = 1.891, p = 0.005), and self-reported sleep quality (aOR = 1.593, p = 0.007). In conclusion, several factors related to screen time or using electronic devices before sleep were identified. Only being a drinker was a common associated factor for both screen time and using electronic devices before sleep.


Author(s):  
Taru Manyanga ◽  
Joel D. Barnes ◽  
Jean-Philippe Chaput ◽  
Peter T. Katzmarzyk ◽  
Antonio Prista ◽  
...  

Abstract Background Insufficient physical activity, short sleep duration, and excessive recreational screen time are increasing globally. Currently, there are little to no data describing prevalences and correlates of movement behaviours among children in low-middle-income countries. The few available reports do not include both urban and rural respondents, despite the large proportion of rural populations in low-middle-income countries. We compared the prevalence of meeting 24-h movement guidelines and examined correlates of meeting the guidelines in a sample of urban and rural Mozambican schoolchildren. Methods This is cross-sectional study of 9–11 year-old children (n = 683) recruited from 10 urban and 7 rural schools in Mozambique. Moderate- to vigorous-intensity physical activity (MVPA) and sleep duration were measured by waist-worn Actigraph GT3X+ accelerometers. Accelerometers were worn 24 h/day for up to 8 days. Recreational screen time was self-reported. Potential correlates of meeting 24-h movement guidelines were directly measured or obtained from validated items of context-adapted questionnaires. Multilevel multivariable logit models were used to determine the correlates of movement behaviours. Meeting 24-h movement guidelines was defined as ≥60 min/day of MVPA, ≤2 h/day of recreational screen time, and between 9 and 11 h/night of sleep. Results More rural (17.7%) than urban (3.6%) children met all three 24-h movement guidelines. Mean MVPA was lower (82.9 ± 29.5 min/day) among urban than rural children (96.7 ± 31.8 min/day). Rural children had longer sleep duration (8.9 ± 0.7 h/night) and shorter recreational screen time (2.7 ± 1.9 h/day) than their urban counterparts (8.7 ± 0.9 h/night and 5.0 ± 2.3 h/day respectively). Parental education (OR: 0.37; CI: 0.16–0.87), school location (OR: 0.21; CI: 0.09–0.52), and outdoor time (OR: 0.67; CI: 0.53–0.85) were significant correlates of meeting all three 24-h movement guidelines. Conclusions Prevalence and correlates of meeting movement guidelines differed between urban and rural schoolchildren in Mozambique. On average, both groups had higher daily MVPA minutes, shorter sleep duration, and higher recreational screen time than the 24-h movement guidelines recommend. These findings (e.g., higher than recommended mean daily MVPA minutes) differ from those from high-income countries and highlight the need to sample from both urban and rural areas.


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.


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