Danielsen Yngvild Sørebø, Pallesen Ståle, Sivertsen Børge, Stormark Kjell Morten, Hysing Mari
Department of Clinical Psychology University of Bergen Bergen Norway.
Department of Psychosocial Science University of Bergen Bergen Norway.
Obes Sci Pract. 2020 Sep 21;7(1):45-52. doi: 10.1002/osp4.455. eCollection 2021 Feb.
Sleep curtailment is associated with obesity in children, but few studies have investigated this relationship in a longitudinal sample of adolescents. The aim of the present study was to examine the longitudinal association between weekday time in bed (TIB) at age 10-13 and overweight at age 16-19.
Adolescents and their parents ( = 3025 families), participating in a longitudinal population-based study, completed questionnaires assessing habitual bedtime and wake time on weekdays, weight and height, socioeconomic status (SES), internalizing mental health problems and disturbed eating. Two surveys were administered with a 6-year interval (T1 and T2). A one-way analysis of covariance (ANCOVA) was performed examining the association between TIB and weight category 6 years later, with SES, internalizing problems and disturbed eating at baseline entered as covariates. Hierarchical and logistic regression analyses were used to assess TIB at age 10-13 years to as a predictor of body mass index (BMI) standardized deviation scores (SDS) and overweight status at age 16-19 adjusting for the same confounders and baseline BMI.
A linear inverse relationship between TIB at age 10-13 and BMI category at age 16-19 was demonstrated by the ANCOVA, < 0.001. Shorter TIB was related to higher weight, but the effect size was small (partial eta squared = 0.01). When adjusting for the included baseline confounders in the hierarchical regression model TIB significantly predicted later BMI SDS ( = -0.039, = 0.02). The adjusted logistic regression model showed that for each hour reduction of TIB at T1 the odds of being overweight/obese at T2 increased with a factor of 1.6.
Shorter TIB was found to be a significant, yet modest, independent predictor of later weight gain in adolescence. The findings implicate that establishing healthy sleep habits should be addressed in prevention and treatment strategies for adolescent obesity.
睡眠不足与儿童肥胖有关,但很少有研究在青少年纵向样本中调查这种关系。本研究的目的是检验10 - 13岁工作日卧床时间(TIB)与16 - 19岁超重之间的纵向关联。
参与一项基于人群的纵向研究的青少年及其父母(n = 3025个家庭)完成了问卷,评估平日的习惯性就寝时间和起床时间、体重和身高、社会经济地位(SES)、内化心理健康问题和饮食紊乱情况。每隔6年进行两次调查(T1和T2)。进行了单因素协方差分析(ANCOVA),以检验TIB与6年后体重类别之间的关联,并将基线时的SES、内化问题和饮食紊乱作为协变量纳入。采用分层和逻辑回归分析来评估10 - 13岁时的TIB作为16 - 19岁体重指数(BMI)标准差分数(SDS)和超重状态的预测指标,并对相同的混杂因素和基线BMI进行调整。
ANCOVA显示10 - 13岁时的TIB与16 - 19岁时的BMI类别之间存在线性反比关系,P < 0.001。较短的TIB与较高的体重相关,但效应量较小(偏 eta 平方 = 0.01)。在分层回归模型中调整纳入的基线混杂因素后,TIB显著预测了后期的BMI SDS(β = -0.039,P = 0.02)。调整后的逻辑回归模型显示,在T1时TIB每减少1小时,T2时超重/肥胖的几率增加1.6倍。
发现较短的TIB是青少年后期体重增加的一个显著但适度的独立预测因素。研究结果表明,在青少年肥胖的预防和治疗策略中应重视建立健康的睡眠习惯。