PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 10, 2026SLEEP0 citations

0277 Age-Related Changes in Light Exposure, Sleep and Circadian Timing: Findings from the EPISONO Cohort

View Full Paper
JVJulia VallimCSCatharina ScassolaLLLuísa Lopes

Key Points

  • This research aims to describe changes in light exposure, sleep timing, and circadian rhythms as people age.
  • Utilized actimetry data from 404 individuals in the EPISONO cohort (mean age: 49.42 years)
  • Collected data over 7 days (5 weekdays, 2 weekend days)
  • Applied generalized linear models to analyze the effects of age on sleep and light exposure timing.
  • Significant differences in sleep timing across age groups (p<0.001)
  • Young adults (20-29 years) had later light oM10 compared to those aged ≥40 years (p<0.001)
  • Circadian phase was also significantly later in younger participants compared to older age groups (p<0.001).

Abstract

Abstract Introduction Actimetry is a noninvasive technique that records the 24-hour rest-activity rhythm to estimate sleep and circadian parameters. Light exposure data can also be derived from these devices, providing an additional and valuable information for basic and clinical research. The aim of the present work was to describe light exposure, sleep and circadian timing across age groups in a sample representing São Paulo city population in terms of age, sex and socioeconomic status. Methods This study is a subset of the 769 individuals enrolled in the 4th edition of the São Paulo Epidemiologic Sleep Study (EPISONO) cohort, of which 404 participants were included (60% female; mean age: 49.42±14.90 years). Actimetry data was collected between 2018 and 2019. Sleep (onset and offset), circadian (predicted dim-light melatonin onset) and light exposure timing (onset of the 10 hours of greatest exposure-oM10) were extracted from the 7-day records (5 weekdays and 2 free days). Generalized linear models, controlled for sex, socioeconomic status, body mass index, season, and daylight-saving time, were applied to assess the effects of age groups (20-29, 30-39, 40-49, 50-59, 60-69 and 70-80 years). Results Significant differences in sleep timing were observed (p 0.001). Participants in the 20-39 years category exhibited later sleep onset and offset compared to older ones. Young adults (20-29 years) had a significantly later light oM10 (p 0.001) and circadian phase (p 0.001) compared, respectively, to participants aged ≥40 years and all other age groups. Conclusion This population-based study identifies the age of 40 years as a potential turning point in circadian and light exposure patterns, marking a transition from delayed young-adult rhythms to advanced timing in middle and older adulthood. These findings highlight the importance of age-tailored interventions to support sleep and circadian health. Support (if any) Associação Fundo de Incentivo à Pesquisa (AFIP). Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP).

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Vallim et al. (2026) studied this question.

synapsesocial.com/papers/6a0021b7c8f74e3340f9caa9https://doi.org/10.1093/sleep/zsag091.0277
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 10761 The Influence of Sex on Sleep Characteristics in the Older Adult Population: Findings from the EPISONO Sleep Study2024
  2. 2Quantitative Study of Indoor Light and Sleep Health in Elderly2026
  3. 31037 Sleep Disorders and Erectile Dysfunction: Longitudinal and Cross-Sectional Findings from the EPISONO Study2026
  4. 4Associations between real‐life light exposure patterns and sleep behaviour in adolescents2024 · 9 citations
  5. 51255 Longitudinal Modeling of Sleep Timing, Duration, and Social Jetlag Across the Adult Lifespan Using High-Resolution Wearable Data2026