Associations of Outdoor Temperature, Bright Sunlight, and Cardiometabolic Traits in Two European Population-Based Cohorts
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CONTEXT: Seasonal variation in cold and light exposure may influence metabolic health. OBJECTIVE: We assessed the associations of bright sunlight and outdoor temperature with measures of glucose and lipid metabolism in two populations of middle-aged European subjects. DESIGN: Cross-sectional study. SETTING: Two population-based European cohorts. PARTICIPANTS: Middle-aged nondiabetic subjects from the Oxford Biobank (OBB; N = 4327; mean age, 41.4 years) and the Netherlands Epidemiology of Obesity (NEO) study (N = 5899; mean age, 55.6 years). INTERVENTIONS: Data on outdoor bright sunlight and temperature collected from local weather stations. MAIN OUTCOME MEASURES: Insulin resistance and fasting lipid levels. Multivariable regression analyses were adjusted for age, sex, percentage body fat, season, and either outdoor temperature or bright sunlight. RESULTS: In the OBB cohort, increased bright sunlight exposure was associated with lower fasting insulin [-1.27% (95% CI, -2.09 to -0.47%) per extra hour of bright sunlight], lower homeostatic model assessment for insulin resistance (-1.36%; 95% CI, -2.23 to -0.50), lower homeostatic model assessment for β-cell function (-0.80%; 95% CI, -1.31 to -0.30), and lower triglyceride (-1.28%; 95% CI, -2.07 to -0.50) levels. In the NEO cohort generally unidirectional but weaker associations were observed. No associations between outdoor temperature and measures of glucose or lipid metabolism were detected following adjustment for bright sunlight. CONCLUSIONS: Bright sunlight, but not outdoor temperature, might be associated with increased insulin sensitivity and lower triglyceride levels.
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Circadian disruption may drive the cluster of risk factors and disorders including T2DM, CVD, ageing, hypertension, sleep apnoea, NAFLD and depression as well as dyslipidaemia.
“Thus, it is reasonable to propose circadian disruption may drive this frequently seen cluster of risk factors and disorders that include T2DM, CVD, ageing, hypertension, sleep apnoea, NAFLD and depression as well as some other CVD risk factors including dyslipidaemia 3, 17, 18, 19, 23.”
From The Circadian Syndrome: is the Metabolic Syndrome and much more! (2019) · cites this paper as [18]
Cites
Friedewald, W. T., Levy, R. I., & Fredrickson, D. S. (1972) · Clinical Chemistry · doi:10.1093/clinchem/18.6.499 · Cited by 32,423 · see citing works
Matthews, D. R., Hosker, J. P., Rudenski, A. S., Naylor, B. A., Treacher, D. F., & Turner, R. C. (1985) · Diabetologia · doi:10.1007/bf00280883 · Cited by 31,502 · see citing works
Use and Abuse of HOMA Modeling
Wallace, T. M., Levy, J. C., & Matthews, D. R. (2004) · Diabetes Care · doi:10.2337/diacare.27.6.1487 · Cited by 5,114 · see citing works
Cold-Activated Brown Adipose Tissue in Healthy Men
van Marken Lichtenbelt, W. D., Vanhommerig, J. W., Smulders, N. M., Drossaerts, J. M. A. F. L., Kemerink, G. J., Bouvy, N. D., Schrauwen, P., & Teule, G. J. J. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0808718 · Cited by 3,452 · see citing works
Analysis of Complex Survey Samples
Lumley, T. (2004) · Journal of Statistical Software · doi:10.18637/jss.v009.i08 · Cited by 2,425 · see citing works
Brown adipose tissue activity controls triglyceride clearance
Bartelt, A., Bruns, O. T., Reimer, R., Hohenberg, H., Ittrich, H., Peldschus, K., Kaul, M. G., Tromsdorf, U. I., Weller, H., Waurisch, C., et al. (2011) · Nature Medicine · doi:10.1038/nm.2297 · Cited by 1,608 · cited 1× · see citing works
“Recent preclinical and clinical studies have linked enviro nmental temperature to cardiometabolic health, with thermogenesis in muscle and brown adip ose tissue as potential mediators (1-7).”
BackgroundCold acclimation recruits human brown fat and increases nonshivering thermogenesis
van der Lans, A. A. J. J., Joris Hoeks, J., Brans, B. T., Vijgen, G. H. E. J., Visser, M. G. W., Vosselman, M. J., Hansen, J., Jörgensen, J. A., Wu, J., Mottaghy, F. M., et al. (2013) · Journal of Clinical Investigation · doi:10.1172/jci68993 · Cited by 841 · see citing works
Bouatia-Naji, N., Bonnefond, A., Cavalcanti-Proença, C., Sparsø, T., Holmkvist, J., Marchand, M., Delplanque, J., Lobbens, S., Rocheleau, G., Durand, E., et al. (2009) · Nature Genetics · doi:10.1038/ng.277 · Cited by 611 · see citing works
Short-term cold acclimation improves insulin sensitivity in patients with type 2 diabetes mellitus
Hanssen, M. J. W., Joris Hoeks, J., Brans, B. T., van der Lans, A. A. J. J., Schaart, G., van den Driessche, J. J., Jörgensen, J. A., Boekschoten, M. V., Hesselink, M. K. C., Havekes, B., et al. (2015) · Nature Medicine · doi:10.1038/nm.3891 · Cited by 587 · see citing works
Epidemiologic studies utilizing surveys: accounting for the sampling design.
Korn, E. L., & Graubard, B. I. (1991) · American Journal of Public Health · doi:10.2105/ajph.81.9.1166 · Cited by 485 · see citing works
Brown fat activation reduces hypercholesterolaemia and protects from atherosclerosis development
Berbée, J. F. P., Boon, M. R., Khedoe, P. P. S. J., Bartelt, A., Schlein, C., Worthmann, A., Kooijman, S., Hoeke, G., Mol, I. M., John, C., et al. (2015) · Nature Communications · doi:10.1038/ncomms7356 · Cited by 428 · see citing works
Self-citationRare MTNR1B variants impairing melatonin receptor 1B function contribute to type 2 diabetes
The Meta-Analysis of Glucose and Insulin-Related Traits Consortium (MAGIC), Bonnefond, A., Clément, N., Fawcett, K., Yengo, L., Vaillant, E., Guillaume, J.-L., Dechaume, A., Payne, F., Roussel, R., et al. (2012) · Nature Genetics · doi:10.1038/ng.1053 · Cited by 363 · see citing works
Koziróg, M., Poliwczak, A. R., Duchnowicz, P., Koter-Michalak, M., Sikora, J., & Broncel, M. (2011) · Journal of Pineal Research · doi:10.1111/j.1600-079x.2010.00835.x · Cited by 299 · see citing works
Brown Adipose Tissue and Seasonal Variation in Humans
Au-Yong, I. T. H., Thorn, N., Ganatra, R. H., Perkins, A. C., & Symonds, M. E. (2009) · Diabetes · doi:10.2337/db09-0833 · Cited by 270 · see citing works
The Netherlands Epidemiology of Obesity (NEO) study: study design and data collection
de Mutsert, R., den Heijer, M., Rabelink, T. J., Smit, J. W. A., Romijn, J. A., Jukema, J. W., Roos, A., Cobbaert, C. M., Kloppenburg, M., le Cessie, S., et al. (2013) · European Journal of Epidemiology · doi:10.1007/s10654-013-9801-3 · Cited by 191 · see citing works
Self-citationYe, Z., Sharp, S. J., Burgess, S., Scott, R. A., Imamura, F., Langenberg, C., Wareham, N. J., & Forouhi, N. G. (2014) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(14)70184-6 · Cited by 189 · see citing works
Brown Adipose Tissue Exhibits a Glucose-Responsive Thermogenic Biorhythm in Humans
Lee, P. C., Bova, R., Schofield, L., Bryant, W., Dieckmann, W., Slattery, A., Govendir, M., Emmett, L., & Greenfield, J. R. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.02.007 · Cited by 179 · see citing works
Chen, K. Y., Brychta, R. J., Linderman, J. D., Smith, S., Courville, A. B., Dieckmann, W., Herscovitch, P., Millo, C., Remaley, A. T., Lee, P., et al. (2013) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2012-4213 · Cited by 173 · see citing works
Melatonin and Pancreatic Islets: Interrelationships between Melatonin, Insulin and Glucagon
Peschke, E., Bähr, I., & Mühlbauer, E. (2013) · International Journal of Molecular Sciences · doi:10.3390/ijms14046981 · Cited by 167 · see citing works
Bakker, L. E. H., Boon, M. R., van der Linden, R. A. D., Arias‐Bouda, L. M. P., van Klinken, J. B., Smit, F., Verberne, H. J., Jukema, J. W., Tamsma, J. T., Havekes, L. M., et al. (2013) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(13)70156-6 · Cited by 151 · see citing works
Thermogenic adipocytes promote HDL turnover and reverse cholesterol transport
Bartelt, A., John, C., Schaltenberg, N., Berbée, J. F. P., Worthmann, A., Cherradi, M. L., Schlein, C., Piepenburg, J., Boon, M. R., Rinninger, F., et al. (2017) · Nature Communications · doi:10.1038/ncomms15010 · Cited by 138 · see citing works
Role of Vitamin D in the Development of Insulin Resistance and Type 2 Diabetes
Pilz, S., Kienreich, K., Rutters, F., de Jongh, R. T., van Ballegooijen, A. J., Grübler, M. R., Tomaschitz, A., & Dekker, J. M. (2012) · Current Diabetes Reports · doi:10.1007/s11892-012-0358-4 · Cited by 129 · see citing works
Diabetes incidence and glucose intolerance prevalence increase with higher outdoor temperature
Blauw, L. L., Aziz, N. A., Tannemaat, M. R., Blauw, C. A., de Craen, A. J. M., Pijl, H., & Rensen, P. C. N. (2017) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2016-000317 · Cited by 124 · see citing works
Park, S., & Tokura, H. (1999) · Chronobiology International · doi:10.3109/07420529909116864 · Cited by 97 · see citing works
Cepeda, M., Koolhaas, C. M., van Rooij, F. J. A., Tiemeier, H. W., Guxens, M., Franco, O. H., & Schoufour, J. D. (2018) · Maturitas · doi:10.1016/j.maturitas.2018.01.016 · Cited by 85 · see citing works
van den Berg, R., Kooijman, S., Noordam, R., Ramkisoensing, A., Abreu-Vieira, G., Tambyrajah, L. L., Dijk, W., Ruppert, P. M. M., Mol, I. M., Kramar, B., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.03.004 · Cited by 78 · see citing works
Self-citationCohort Profile: The Oxford Biobank
Karpe, F., Vasan, S. K., Humphreys, S. M., Miller, J. M., Cheeseman, J., Dennis, A., & Neville, M. J. (2017) · International Journal of Epidemiology · doi:10.1093/ije/dyx132 · Cited by 57 · see citing works
Self-citationType 2 diabetes, but not obesity, prevalence is positively associated with ambient temperature
Speakman, J. R., & Heidari‐Bakavoli, S. (2016) · Scientific Reports · doi:10.1038/srep30409 · Cited by 55 · see citing works
Seasonal variations of insulin sensitivity from a euglycemic insulin clamp in elderly men
Berglund, L., Berne, C., Svärdsudd, K., Garmo, H., Melhus, H., & Zethelius, B. (2011) · Upsala Journal of Medical Sciences · doi:10.3109/03009734.2011.628422 · Cited by 36 · see citing works
Brouwer, A., van Raalte, D. H., Diamant, M., Rutters, F., van Someren, E. J. W., Snoek, F. J., Beekman, A. T. F., & Bremmer, M. A. (2015) · BMC Psychiatry · doi:10.1186/s12888-015-0543-5 · Cited by 25 · see citing works
Cepeda, M., Muka, T., Ikram, M. A., Franco, O. H., & Schoufour, J. D. (2017) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2017-01921 · Cited by 22 · see citing works
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The Circadian Syndrome: is the Metabolic Syndrome and much more!
Zimmet, P., Alberti, K. G. M. M., Stern, N., Bilu, C., El‐Osta, A., Einat, H., & Kronfeld‐Schor, N. (2019) · Journal of Internal Medicine · doi:10.1111/joim.12924 · Cited by 387 · see citing works
- Authors
- Noordam, R., Ramkisoensing, A., Loh, N. Y., Neville, M. J., Rosendaal, F. R., Willems van Dijk, K., van Heemst, D., Karpe, F., Christodoulides, C., & Kooijman, S.
- Affiliations
- Leiden University Medical Center (NL)
- University of Oxford (GB)
- National Institute for Health and Care Research (GB)
- Department of Human Genetics, Leiden University Medical Center, Leiden, Netherlands
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, Netherlands
- Corresponding author
- Christodoulides, Constantinos
- ORCID
- Venue
- The Journal of Clinical Endocrinology & Metabolism
- Publisher
- The Endocrine Society
- Published
- 2019-02-12
- Volume
- 104
- Issue
- 7
- Pages
- 2903-2910
- ISSN
- 0021-972X (ISSN-L)
- 1945-7197
- PMC
- PMC6543772
- OpenAlex
- W2914498933
- Cited by
- 20
- References
- 31
- Citations by year
- 2026: 2 · 2025: 7 · 2024: 1 · 2022: 2 · 2021: 2 · 2020: 2 · 2019: 4
- FWCI
- 2.03
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- The Journal of Clinical Endocrinology & Metabolism (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Leiden Repository (Leiden University) (submittedVersion)
- Funders
- FP7 Health (Health-2013-INNOVATION-1-602757)
- Hartstichting (CVON2014-02 ENERGISE, 2017T016)
- European Foundation for the Study of Diabetes
- British Heart Foundation (RG/17/1/32663)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Circadian rhythm and melatonin
- Health Sciences › Medicine › Pathology and Forensic Medicine › Vitamin D Research Studies
- Keywords
- outdoor temperature, insulin resistance, insulin sensitivity, beta-cell function, fasting insulin, triglycerides, lipid metabolism, glucose metabolism, seasonal variation, middle-aged adults, sun exposure
- MeSH terms
- Adipose Tissue, Adult, Blood Glucose, Cross-Sectional Studies, England, Female, Humans, Insulin, Insulin Resistance, Cholesterol, HDL, Cholesterol, LDL, Male, Middle Aged, Netherlands, Seasons, Sunlight, Temperature, Triglycerides, Weather, Multivariate Analysis, White People, Overweight
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