ArticlePloS one2020
Association between light exposure and metabolic syndrome in a rural Brazilian town.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 29 citations in OpenAlex.
- Therapeutic Sunbathing in Yoga and Naturopathy Hospitals: Establishing National Standards through the Delphi Methodology.Journal of lifestyle medicine · 2025Article
- The Acute Effects of Morning Bright Light on the Human White Adipose Tissue Transcriptome: Exploratory Post Hoc Analysis.Clocks & sleep · 2025Article
- Effects of Illumination Color on Hypothalamic Appetite-Regulating Gene Expression and Glycolipid Metabolism.Nutrients · 2024Article
- Brighter nights and darker days predict higher mortality risk: A prospective analysis of personal light exposure in >88,000 individuals.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- The Metabolic Syndrome, a Human Disease.International journal of molecular sciences · 2024Review
- Blue Light and Temperature Actigraphy Measures Predicting Metabolic Health Are Linked to Melatonin Receptor Polymorphism.Biology · 2023Article
- Social dimensions impact individual sleep quantity and quality.Scientific reports · 2023Article
- Non-Classical Aspects of Obesity Pathogenesis and Their Relative Clinical Importance for Obesity Treatment.Healthcare (Basel, Switzerland) · 2023Review
- The Complex Effects of Light on Metabolism in Humans.Nutrients · 2023Review
- Associations of chronotype and sleep patterns with metabolic syndrome in the Hispanic community health study/study of Latinos.Chronobiology international · 2022Article
- Time-Related Eating Patterns Are Associated with the Total Daily Intake of Calories and Macronutrients in Day and Night Shift Workers.Nutrients · 2022Article
- Relationship Between Circadian Strain, Light Exposure, and Body Mass Index in Rural and Urban Quilombola Communities.Frontiers in physiology · 2021Article
Corrections and comments
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Authors and funding
13 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
contextMetabolic syndrome (MetS) is a complex condition comprising a 'clustering' of components representing cardiometabolic risk factors for heart disease and diabetes; its prevalence rate is high and consequences serious. Evidence suggests that light exposure patterns and misalignment of circadian rhythms might contribute to MetS etiology by impacting energy metabolism and glucose regulation.
objectiveWe hypothesised that individuals with MetS would show disrupted circadian and sleep parameters alongside differences in light exposure profiles. We investigated this using data from a cohort study in Brazil.
methodsData from 103 individuals from the Baependi Heart Cohort Study aged between 50 and 70 were analysed. Motor activity and light exposure were measured using wrist-worn actigraphy devices. Cardiometabolic data were used to calculate the number of MetS components present in each participant, and participants grouped as MetS/non-MetS according to standard guidelines. Between-group comparisons were made for the actigraphy measures; additionally, correlation analyses were conducted.
resultsMotor activity and circadian profiles showed no differences between groups. However, the MetS group presented lower light exposure during the day and higher light exposure at night. Correlation analyses, including all participants, showed that greater daytime light exposure and greater light exposure difference between day and night were associated with reduced MetS risk (a lower number of MetS components). Also, the light exposure difference between day and night correlated with body mass index across all participants.
conclusionsThe observed results suggest a direct association between light exposure and MetS which appears to not be attributable to disruptions in circadian activity rhythm nor to sleep parameters. This link between light exposure patterns and MetS risk could inform possible prevention strategies.
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