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Chronobiol Int. 2018 Oct 26:1-11. doi: 10.1080/07420528.2018.1527347. [Epub ahead of print]

Zeitgebers and their association with rest-activity patterns.

Author information

1
a Department of Neonatology , University of Tuebingen , Tuebingen, Germany.
2
b Division of Sleep and Circadian Disorders, Department of Medicine , Brigham & Women's Hospital & Harvard Medical School , Boston MA.
3
c Division of Population Sciences, Department of Medical Oncology , Dana-Farber Cancer Institute , Boston , MA.
4
d Division of Gastroenterology , Hepatology and Nutrition, Children's Hospital of Philadelphia , Philadelphia , PA.
5
e Department of Pediatrics , Perelman School of Medicine, University of Pennsylvania , Philadelphia , PA.
6
f Harvard Medical School and Harvard Pilgrim Health Care Institute , Boston , MA.
7
g Department of Parks , Recreation, and Tourism Management; Center for Geospatial Analytics; and Center for Human Health and the Environment, NC State University , Raleigh , NC.
8
h Division of Research , Kaiser Permanente Northern California , Oakland , CA.
9
i Beth Israel Deaconess Medical Center , Boston , MA.

Abstract

Zeitgebers such as light, eating and physical activity provide input to the circadian clock. Chronic circadian misalignment is associated with significant adverse health effects. An improved understanding of the impact of the timing of zeitgebers on the stability of 24-hour rest-activity rhythm in free-living settings may identify behavioural and environmental intervention targets. A total of 133 healthy adults, aged 21-60 years, wore a wrist actigraph for 7 consecutive days. We applied a non-parametric analysis to activity counts to derive rest-activity patterns. We administered a questionnaire through a smartphone app to collect self-reported timing of light exposure, eating episodes and physical activity. To assess the relationship between timing exposures (first and last exposure to outdoor light, first exposure to indoor light, last eating episode, first eating episode, morning physical activity proportion, evening physical activity proportion) and rest-activity or sleep outcomes (bedtimes, total sleep time, inter-daily stability, intra-daily variability, L5 and M10 midpoint), we first calculated Spearman correlations, using the false discovery rate method to control for multiple comparisons. From those significant associations, we then fit regression models adjusting for age, sex, race, household income, education level, study site, body mass index, as well as physical activity. Finally, we tested for interaction between chronotype and each timing-related exposure and stratified the analysis by morning type. All zeitgebers, except for evening physical activity proportion, were correlated with at least four of the seven sleep and rest-activity outcomes. In adjusted analysis, later timing of first (after 6:30 to 7:45 AM versus earlier) and last exposure to indoor light (after 11:00 PM versus earlier) and first (after 7:45-9:45 AM versus earlier) and last eating episode (after 8:00-09:00 PM versus earlier) were associated with a shift of 0.60-1.39 hours to later bedtimes, M10 and L5 midpoints (i.e. timing of peak activities or inactivities). Later timing of first exposure to outdoor light (after 09:30 AM versus earlier) was also associated with 0.51 (95% CI: 0.19 to 0.83) hours longer total sleep time. Higher morning physical activity proportion (> 33%) was associated with 0.95 (95% CI: -1.38 to -0.53) hours earlier in-bed time and 0.69 (95% CI: -1.14 to -0.24) hours earlier out-of-bed time, 0.92 (95% CI: -1.41 to -0.42) hours earlier M10 and 0.96 (95% CI: -1.42 to -0.49) min earlier L5 midpoint. The results did not change substantially with further adjustment for total activity. There was a significant interaction between morning chronotype and first eating episode with rest-activity patterns (p < 0.05), with first eating episode associating with timing of activities only in non-morning type adults. Timing of zeitgebers was associated with sleep and rest-activity patterns, including bedtimes, L5 and M10 midpoint. Future research should evaluate the impact of manipulating zeitgebers on both circadian rhythms and health outcomes.

KEYWORDS:

Actigraphy; physical activity; rest-activity patterns

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