Relationship between sleep duration and TV time with cardiometabolic risk in adolescents

Abstract

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.

Relación entre calidad del sueño, hábitos alimentarios y perfil antropométrico en adolescentes: Una en-cuesta transversal (Relationship between sleep quality, eating habits, and anthropometric profile in adolescents: A cross-sectional survey)

“…La calidad y duración del sueño, como factores de estilo de vida, pueden desempeñar un papel importante en la aparición del exceso de peso corporal y ENT en adolescentes (Peltzer & Pengpid, 2017;Sehn et al, 2020). Las investigaciones recientes han abordado el impacto de la calidad del sueño en la salud de las personas (Olana et al, 2020).…”

“…Las investigaciones recientes han abordado el impacto de la calidad del sueño en la salud de las personas (Olana et al, 2020). En la etapa de adolescencia, pese a que el sueño favorece una mejor salud física y un desarrollo cognitivo óptimo, sin embargo, los adolescentes duermen menos horas de lo recomendado (Del Ciampo, 2012), lo que, a su vez, puede repercutir en la calidad de vida y conllevar a una aparición precoz de obesidad y enfermedades cardiometabólicas relacionado al ICE (Sehn et al, 2020). Por lo tanto, urge la necesidad de identificar e implementar estrategias de estilo de vida para mejorar la calidad del sueño tanto en los adolescentes como en la población en general (Olana et al, 2020).…”

Associations of parental attitudes and health behaviors with children’s screen time over four years

“…Excessive screen time (ST) is associated with negative health outcomes across the lifespan, including developmental delays in early childhood [ 1 ], obesity in childhood [ 2 ], and cardiometabolic risk in adolescence [ 3 ]. Furthermore, screen use patterns formed during childhood may progress into adulthood [ 4 ].…”

Family structure in relation to body mass index and metabolic score in European children and adolescents

“…This may be due to a higher prevalence of obesogenic behaviours in children from these families when compared to two‐parent biological families. 7 , 13 , 14 , 15 , 16 Obesogenic behaviours (e.g., low physical activity, 17 short sleep duration 18 , 19 or high screen time 18 , 19 ) and overweight 20 , 21 are often associated with the presence of further risk factors for chronic diseases, particularly hypertension, hyperglycemia, dyslipidemia, and abdominal obesity. As these risk factors are inclined to cluster and accumulate, they can be summarized as the metabolic syndrome.…”

“…19, 95% CI: 0.05 to 0.32) than those in two-parent biologicalT A B L E 1Abbreviations: BMI, body mass index; CI, confidence interval; MetS, metabolic score; n, number of observations.…”