1.Physical Activity and Sedentary Behaviors among Chinese Children: Recent Trends and Correlates.
Xi YANG ; Alice Waiyi LEUNG ; Russell JAGO ; Shi Cheng YU ; Wen Hua ZHAO
Biomedical and Environmental Sciences 2021;34(6):425-438
Objective:
This study was aimed at examining the trends and correlates of physical activity (PA) and sedentary behaviors among Chinese children.
Methods:
A total of 4,341 subjects (6,936 observations) aged 6-17 years who participated in the China Health and Nutrition Survey (2004-2015) were included. Of the subjects, 41% participated in the survey twice or more. Random-effects ordinal regression models and repeated-measures mixed-effects models were used to examine the PA trends. Quantile regression models were applied to examine the factors influencing PA and sedentary behaviors.
Results:
From 2004 to 2015, the prevalence of physical inactivity among Chinese children aged 6-17 years increased by 5.5% [odds ratio (
Conclusions
A declining PA trend among Chinese children aged 6-17 years was observed from 2004 to 2015, and certain subgroups and geographical areas are at higher risk of physical inactivity.
Adolescent
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Asian Continental Ancestry Group/statistics & numerical data*
;
Child
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Child Behavior/ethnology*
;
China/epidemiology*
;
Exercise
;
Female
;
Humans
;
Male
;
Nutrition Surveys
;
Regression Analysis
;
Sedentary Behavior/ethnology*
2.Relationship between sleep duration and TV time with cardiometabolic risk in adolescents.
Ana Paula SEHN ; Anelise Reis GAYA ; Arieli Fernandes DIAS ; Caroline BRAND ; Jorge MOTA ; Karin Allor PFEIFFER ; Javier Brazo SAYAVERA ; Jane Dagmar Pollo RENNER ; Cézane Priscila REUTER
Environmental Health and Preventive Medicine 2020;25(1):42-42
OBJECTIVE:
To verify the association between sleep duration and television time with cardiometabolic risk and the moderating role of age, gender, and skin color/ethnicity in this relationship among adolescents.
METHODS:
Cross-sectional study with 1411 adolescents (800 girls) aged 10 to 17 years. Television time, sleep duration, age, gender, and skin color/ethnicity were obtained by self-reported questionnaire. Cardiometabolic risk was evaluated using the continuous metabolic risk score, by the sum of the standard z-score values for each risk factor: high-density lipoprotein cholesterol, triglycerides, glycemia, cardiorespiratory fitness, systolic blood pressure, and waist circumference. Generalized linear regression models were used.
RESULTS:
There was an association between television time and cardiometabolic risk (β, 0.002; 95% CI, 0.001; 0.003). Short sleep duration (β, 0.422; 95% CI, 0.012; 0.833) was positively associated with cardiometabolic risk. Additionally, age moderated the relationship between television time and cardiometabolic risk (β, - 0.009; 95% CI, - 0.002; - 0.001), suggesting that this relationship was stronger at ages 11 and 13 years (β, 0.004; 95% CI, 0.001; 0.006) compared to 13 to 15 years (β, 0.002; 95% CI, 0.001; 0.004). No association was found in older adolescents (β, 0.001; 95% CI, - 0.002; 0.002).
CONCLUSIONS
Television time and sleep duration are associated with cardiometabolic risk; adolescents with short sleep have higher cardiometabolic risk. In addition, age plays a moderating role in the relationship between TV time and cardiometabolic risk, indicating that in younger adolescents the relationship is stronger compared to older ones.
Age Factors
;
Brazil
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epidemiology
;
Cardiovascular Diseases
;
epidemiology
;
ethnology
;
etiology
;
Cross-Sectional Studies
;
Metabolic Syndrome
;
epidemiology
;
ethnology
;
etiology
;
Prevalence
;
Risk Factors
;
Sedentary Behavior
;
ethnology
;
Sex Factors
;
Sleep
;
Television
;
statistics & numerical data