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Macular Layer Thickness and Effect of BMI, Body Fat, and Traditional Cardiovascular Risk Factors: The Tromsø Study

PURPOSE: The purpose of this study was to investigate associations between cardiovascular risk factors and the thickness of retinal nerve fiber layer (RNFL), ganglion cell-inner plexiform layer (GCIPL), and outer retina layers (ORL). METHODS: In this population-based study, we included participants...

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Autores principales: von Hanno, Therese, Hareide, Live Lund, Småbrekke, Lars, Morseth, Bente, Sneve, Monica, Erke, Maja Gran, Mathiesen, Ellisiv Bøgeberg, Bertelsen, Geir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9396695/
https://www.ncbi.nlm.nih.gov/pubmed/35960516
http://dx.doi.org/10.1167/iovs.63.9.16
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author von Hanno, Therese
Hareide, Live Lund
Småbrekke, Lars
Morseth, Bente
Sneve, Monica
Erke, Maja Gran
Mathiesen, Ellisiv Bøgeberg
Bertelsen, Geir
author_facet von Hanno, Therese
Hareide, Live Lund
Småbrekke, Lars
Morseth, Bente
Sneve, Monica
Erke, Maja Gran
Mathiesen, Ellisiv Bøgeberg
Bertelsen, Geir
author_sort von Hanno, Therese
collection PubMed
description PURPOSE: The purpose of this study was to investigate associations between cardiovascular risk factors and the thickness of retinal nerve fiber layer (RNFL), ganglion cell-inner plexiform layer (GCIPL), and outer retina layers (ORL). METHODS: In this population-based study, we included participants from the Tromsø Study: Tromsø6 (2007 to 2008) and Tromsø7 (2015 to 2016). Persons with diabetes and/or diagnosed glaucoma were excluded from this study. Retinal thickness was measured on optical coherence tomography (Cirrus HD-OCT) macula-scans, segmented on RNFL, GCIPL, and ORL and associations were analyzed cross-sectionally (N = 8288) and longitudinally (N = 2595). We used directed acyclic graphs (DAGs) for model selection, and linear regression to adjust for confounders and mediators in models assessing direct effects. Factors examined were age, sex, blood pressure, daily smoking, serum lipids, glycated hemoglobin, body mass index (BMI), total body fat percentage (BFP), and the adjustment variables refraction and height. RESULTS: The explained variance of cardiovascular risk factors was highest in GCIPL (0.126). GCIPL had a strong negative association with age. Women had thicker GCIPL than men at higher age and thinner ORL at all ages (P < 0.001). Systolic blood pressure was negatively associated with RNFL/GCIPL (P = 0.001/0.004), with indication of a U-shaped relationship with GCIPL in women. The negative association with BMI was strongest in men, with significant effect for RNFL/GCIPL/ORL (P = 0.001/<0.001/0.019) and in women for GCIPL/ORL (P = 0.030/0.037). BFP was negatively associated with GCIPL (P = 0.01). Higher baseline BMI was associated with a reduction in GCIPL over 8 years (P = 0.03). CONCLUSIONS: Cardiovascular risk factors explained 12.6% of the variance in GCIPL, with weight and blood pressure the most important modifiable factors.
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spelling pubmed-93966952022-08-24 Macular Layer Thickness and Effect of BMI, Body Fat, and Traditional Cardiovascular Risk Factors: The Tromsø Study von Hanno, Therese Hareide, Live Lund Småbrekke, Lars Morseth, Bente Sneve, Monica Erke, Maja Gran Mathiesen, Ellisiv Bøgeberg Bertelsen, Geir Invest Ophthalmol Vis Sci Clinical and Epidemiologic Research PURPOSE: The purpose of this study was to investigate associations between cardiovascular risk factors and the thickness of retinal nerve fiber layer (RNFL), ganglion cell-inner plexiform layer (GCIPL), and outer retina layers (ORL). METHODS: In this population-based study, we included participants from the Tromsø Study: Tromsø6 (2007 to 2008) and Tromsø7 (2015 to 2016). Persons with diabetes and/or diagnosed glaucoma were excluded from this study. Retinal thickness was measured on optical coherence tomography (Cirrus HD-OCT) macula-scans, segmented on RNFL, GCIPL, and ORL and associations were analyzed cross-sectionally (N = 8288) and longitudinally (N = 2595). We used directed acyclic graphs (DAGs) for model selection, and linear regression to adjust for confounders and mediators in models assessing direct effects. Factors examined were age, sex, blood pressure, daily smoking, serum lipids, glycated hemoglobin, body mass index (BMI), total body fat percentage (BFP), and the adjustment variables refraction and height. RESULTS: The explained variance of cardiovascular risk factors was highest in GCIPL (0.126). GCIPL had a strong negative association with age. Women had thicker GCIPL than men at higher age and thinner ORL at all ages (P < 0.001). Systolic blood pressure was negatively associated with RNFL/GCIPL (P = 0.001/0.004), with indication of a U-shaped relationship with GCIPL in women. The negative association with BMI was strongest in men, with significant effect for RNFL/GCIPL/ORL (P = 0.001/<0.001/0.019) and in women for GCIPL/ORL (P = 0.030/0.037). BFP was negatively associated with GCIPL (P = 0.01). Higher baseline BMI was associated with a reduction in GCIPL over 8 years (P = 0.03). CONCLUSIONS: Cardiovascular risk factors explained 12.6% of the variance in GCIPL, with weight and blood pressure the most important modifiable factors. The Association for Research in Vision and Ophthalmology 2022-08-12 /pmc/articles/PMC9396695/ /pubmed/35960516 http://dx.doi.org/10.1167/iovs.63.9.16 Text en Copyright 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
spellingShingle Clinical and Epidemiologic Research
von Hanno, Therese
Hareide, Live Lund
Småbrekke, Lars
Morseth, Bente
Sneve, Monica
Erke, Maja Gran
Mathiesen, Ellisiv Bøgeberg
Bertelsen, Geir
Macular Layer Thickness and Effect of BMI, Body Fat, and Traditional Cardiovascular Risk Factors: The Tromsø Study
title Macular Layer Thickness and Effect of BMI, Body Fat, and Traditional Cardiovascular Risk Factors: The Tromsø Study
title_full Macular Layer Thickness and Effect of BMI, Body Fat, and Traditional Cardiovascular Risk Factors: The Tromsø Study
title_fullStr Macular Layer Thickness and Effect of BMI, Body Fat, and Traditional Cardiovascular Risk Factors: The Tromsø Study
title_full_unstemmed Macular Layer Thickness and Effect of BMI, Body Fat, and Traditional Cardiovascular Risk Factors: The Tromsø Study
title_short Macular Layer Thickness and Effect of BMI, Body Fat, and Traditional Cardiovascular Risk Factors: The Tromsø Study
title_sort macular layer thickness and effect of bmi, body fat, and traditional cardiovascular risk factors: the tromsø study
topic Clinical and Epidemiologic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9396695/
https://www.ncbi.nlm.nih.gov/pubmed/35960516
http://dx.doi.org/10.1167/iovs.63.9.16
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