Telomere length and chronotype among women in the California Teachers Study (CTS)

While links between certain chronotypes and poorer health outcomes have been well established in previous studies, few studies have examined the relationship between chronotype and cellular aging. Using data from the California Teachers Study (CTS), the present study evaluates the relationship between cellular aging and chronobiology through an analysis of leukocyte telomere length (LTL) and chronotype among 817 predominantly postmenopausal women with no history of cancer and occupations not associated with night-shift work. Unconditional logistic regression models were run to estimate odds ratios (ORs) for each chronotype category, adjusted for age, ethnicity, and smoking status. Analyses were then stratified by potential modifiers to assess whether results varied among specific subgroups within the sample. Women who reported being current evening types and evening types from teen years to now were significantly less likely to have short LTL compared to women who reported being current morning types or morning types from teen years to now (OR = 0.72; 95% CI = 0.53-0.98; OR = 0.57; 95% CI = 0.39-0.84). Our results suggest that women with no history of cancer who identify as evening chronotypes may undergo decreased cellular aging compared to women in the same population who identify as morning types. Further studies on populations of postmenopausal women are warranted.

Authors

Institutions

Publication Details

Journal
Chronobiology International
Published
2024-11-01
DOI
https://doi.org/10.1080/07420528.2024.2422865
Primary Topic
Telomeres, Telomerase, and Senescence
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Telomere length and chronotype among women in the California Teachers Study (CTS)

Peggy Reynolds, Jessica Clague DeHart, Sophia Wang, Mia Blanchard et al.
Chronobiology International
Telomeres, Telomerase, and Senescence
article

Telomere length and chronotype among women in the California Teachers Study (CTS)

Peggy Reynolds, Jessica Clague DeHart, Sophia Wang, Mia Blanchard, Debbie E. Goldberg, Julie Von Behren, Jue Lin, Susan Hurley
article en

Abstract

While links between certain chronotypes and poorer health outcomes have been well established in previous studies, few studies have examined the relationship between chronotype and cellular aging. Using data from the California Teachers Study (CTS), the present study evaluates the relationship between cellular aging and chronobiology through an analysis of leukocyte telomere length (LTL) and chronotype among 817 predominantly postmenopausal women with no history of cancer and occupations not associated with night-shift work. Unconditional logistic regression models were run to estimate odds ratios (ORs) for each chronotype category, adjusted for age, ethnicity, and smoking status. Analyses were then stratified by potential modifiers to assess whether results varied among specific subgroups within the sample. Women who reported being current evening types and evening types from teen years to now were significantly less likely to have short LTL compared to women who reported being current morning types or morning types from teen years to now (OR = 0.72; 95% CI = 0.53-0.98; OR = 0.57; 95% CI = 0.39-0.84). Our results suggest that women with no history of cancer who identify as evening chronotypes may undergo decreased cellular aging compared to women in the same population who identify as morning types. Further studies on populations of postmenopausal women are warranted.

Chronobiology InternationalVol. 41(11)
Claremont Graduate University (US), University of California, San Francisco (US), City of Hope (US), Beckman Research Institute
Public Health Institute, California Department of Public Health, University of California, University of Southern California, National Institutes of Health, Centers for Disease Control and Prevention, University of California, San Francisco, National Cancer Institute
Gender equality, Quality Education
Openalex Percentile: Top 71%
Telomeres, Telomerase, and Senescence
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.