%0 Journal Article %T Relation between Active Transportation, Screen Time and Sleep Quality among Metabolically Healthy versus Unhealthy Congolese Obese %A Paul Roger Mabounda Kounga %A Alain Boussana %A Wilfrid Kpè %A dé %A tin Dieu-Donné %A Agbodjogbé %J Open Journal of Endocrine and Metabolic Diseases %P 199-212 %@ 2165-7432 %D 2024 %I Scientific Research Publishing %R 10.4236/ojemd.2024.1412021 %X Objective: This study aims to analyze the relationship between active transportation, screen time and sleep quality among metabolically health versus unhealthy Congolese schoolboys and girls obese. Method: A cross-sectional study was conducted among 58 obese aged 15.36 ± 1.22 years in Brazzaville (Republic of Congo). They were divided into metabolically healthy obese (MHO, n = 29) and metabolically unhealthy obese (MUHO, n = 29). Data collection consisted of anthropometric measurements, lipids profile parameters, Pittsburgh Sleep Quality Index and the screen time measurements. The relationship was analyzed by using the logistic regression for healthy and unhealthy schoolboys and obese girls. Results: Compared to MUH obese subjects, MUHO obese subjects were significantly less engaged in active transportation (p = 0.03), TV and smartphone times significantly increased (p = 0.000 and p = 0.003), sleep quality significantly poor (p = 0.001). They were 1.85 (95% CI: 0.85 - 3.88) lower odds to engage in active transportation, had 1.82 (95% CI: 1.11 - 3.10) and 2.04 (95% CI: 1.11 - 3.10) higher odds of TV time respectively, had 1.87 (95% CI: 1.24 - 2.84) and 2.04 (95% CI: 1.47 - 2.85) higher odds of smartphone time respectively and have 2.35 (95% CI: 1.62 - 3.41) higher odds of poor sleep. Conclusion: MUHO subjects underwent high screen time and poor sleep quality. Higher TV-viewing/smartphone time and poorer sleeping quality were found to be associated with less time spent in active transportation. This bad habit on screen and sleep negatively affects the cardiometabolic parameters. %K Screen time %K Sleep %K Congolese Adolescents %K Unhealthy Obese %K At-Risk Subject %U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=138617