Sleep parameters measured by accelerometry: descriptive analyses from the 22-year follow-up of the Pelotas 1993 birth cohort

Sleep Med. 2020 Mar:67:83-90. doi: 10.1016/j.sleep.2019.10.020. Epub 2019 Nov 26.

Abstract

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.

Keywords: Accelerometry; Cross-sectional; Population-based; Sleep.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Accelerometry / statistics & numerical data*
  • Adult
  • Brazil
  • Cohort Studies
  • Cross-Sectional Studies
  • Diagnostic Self Evaluation*
  • Exercise*
  • Female
  • Follow-Up Studies
  • Humans
  • Male
  • Sex Factors
  • Sleep / physiology*
  • Socioeconomic Factors
  • Young Adult