OBJECTIVE To describe the sleep time window (STW), total sleep time (TST), and sleep percent [SP = (TST/STW) × 100] by accelerometry in a population-based young adult cohort in Brazil. METHODS Cross-sectional analysis with a 22-year sample (N = 2462). Sleep variables were measured using an accelerometer. The devices were worn on the non-dominant wrist for approximately seven days. A raw data analysis using the GGIR package was performed. The following sleep variables were extracted: TST, STW, and SP. Linear regression was used to adjust averages. All analyses were stratified according to sex. A comparison between weekday and weekend averages was also conducted. RESULTS The means of TST, STW, and SP for men were 5.9 h, 7.1 h, and 83.1%, respectively. For women, the means of TST, STW, and SP were 6.4 h, 7.6 h, and 84.6%, respectively. Women presented a higher means of all outcomes compared to men (p < 0.001). After adjusting for both sexes, white skin color and not working or studying were associated with higher TST. Individuals not working or studying presented higher means of STW and lower sleep SP. Women with children who were less than two years of age presented lower values of three evaluated outcomes. Regarding behavior and health condition variables, obesity was associated with lower STW only for men. Physical activity was associated with higher SP and risk drinking with lower TST and STW only for women. CONCLUSION Differences between sexes were observed in TST, STW, and SP. In all outcomes women presented a higher means. Socioeconomic variables were associated with both sexes, but having children and behavior/health conditions differed between sexes.

中文翻译：

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通过加速度计测量的睡眠参数：对Pelotas 1993出生队列22年随访的描述性分析。

目的通过加速度计描述巴西一个基于人口的年轻成年队列的睡眠时间窗口（STW），总睡眠时间（TST）和睡眠百分比[SP =（TST / STW）×100]。方法采用22年样本（N = 2462）进行横断面分析。使用加速度计测量睡眠变量。将设备戴在不占优势​​的手腕上约7天。使用GGIR软件包进行了原始数据分析。提取了以下睡眠变量：TST，STW和SP。线性回归用于调整平均值。所有分析均按性别分层。还对工作日和周末的平均值进行了比较。结果男性的TST，STW和SP平均值分别为5.9 h，7.1 h和83.1％。对于女性，TST，STW和SP的平均值分别为6.4小时，7.6小时和84.6％。与男性相比，女性在所有结局方面的表现均较高（p <0.001）。在对两性进行调整之后，肤色变白，不工作或不学习都与较高的TST有关。不工作或学习的个人表现出较高的STW手段和较低的睡眠SP。子女不到两岁的妇女在三个评估结果中的价值较低。关于行为和健康状况变量，肥胖仅与男性的STW降低有关。体力活动与较高的SP和仅女性饮酒的TST和STW较低的饮酒风险有关。结论在TST，STW和SP中观察到性别差异。在所有结果中，妇女都具有较高的收入水平。社会经济变量与性别有关，但孩子和行为/健康状况在性别之间有所不同。