Author correction: estimated visceral adiposity is associated with risk of cardiometabolic conditions in a population based study

Author correction: estimated visceral adiposity is associated with risk of cardiometabolic conditions in a population based study

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Correction to: _Scientific Reports_ https://doi.org/10.1038/s41598-021-88587-9, published online 27 April 2021 The original version of this Article contained errors in the Abstract and the Results section, under the subheading ‘VAT association with all cardiometabolic conditions’, where “The total adjusted odds ratio (AOR, [95% CI]) for hypertension, prediabetes/diabetes, hypercholesterolemia, and hypertriglyceridemia for the fourth quartile of VAT compared to the lowest were (10.67 [6.95, 16.39]), (6.14 [4.14, 9.10]), (6.03 [3.97, 9.16]) and (9.18 [5.97, 14.12]).” now reads: “The total adjusted odds ratio (AOR, [95% CI]) for hypertension, prediabetes/diabetes, hypercholesterolemia, and hypertriglyceridemia for the fourth quartile of VAT compared to the lowest were (10.22 [6.75, 15.47]), (5.90 [4.02, 8.67]), (3.60 [2.47, 5.25]) and (7.67 [5.04, 11.67]).” “The association observed was strongest in men for hypertension: adjusted OR [95% CI] for men were 2.41 [1.40, 4.14], 3.79 [2.22, 6.47] and 10.80 [6.17, 18.92] for the second, third and fourth quartile of VAT. For women, the values were 1.93 [0.92, 4.02], 3.35 [1.66, 6.74] and 8.20 [4.09, 16.40] for the second, third and fourth quartile of VAT. Nevertheless, women observed a strongest association for combined prediabetes and diabetes (7.11 [3.68, 13.72] for the fourth quartile of VAT in women compared to 5.37 [3.23, 8.93] in men), hypercholesterolemia (8.22 [4.15, 16.26] for the fourth quartile of VAT in women compared to 4.67 [2.72, 8.02] in men) and hypertriglyceridemia (14.97 [6.47, 34.60] for the fourth quartile of VAT in women compared to 7.28 [4.27, 13.40] in men.” now reads: “The association observed was strongest in men for hypertension: adjusted OR [95% CI] for men were 2.51 [1.46, 4.29], 4.08 [2.40, 6.93], and 11.83 [6.82, 20.49] for the second, third and fourth quartile of VAT. For women, the values were 1.93 [0.92, 4.00], 3.41 [1.69, 6.85], and 8.21 [4.12, 16.36] for the second, third and fourth quartile of VAT. Nevertheless, women observed a strongest association for combined prediabetes and diabetes (7.57 [3.93, 14.59] for the fourth quartile of VAT in women compared to 5.41 [3.26, 8.97] in men), hypercholesterolemia (5.28 [3.09, 9.00] for the fourth quartile of VAT in women compared to 2.26 [1.33, 3.84] in men) and hypertriglyceridemia (14.62 [6.30, 33.90] for the fourth quartile of VAT in women compared to 6.78 [3.97, 11.56] in men.” In addition, the original version of this Article contained a repeated error in Table 1, under the headings ‘Lifestyles and socioeconomic characteristics, n (%)’, where “Aerobic PA, min (median (P25, P75))” now reads: “Aerobic PA, min/week (median (P25, P75))” Finally, in the Methods section, under the subheading ‘Covariates’, “Lifestyle characteristics included smoking status (current smoking or quit < 12 months vs non-smokers or quit > 12 months), alcohol consumption (non-alcohol consumption, ≤ 6 drinks/week, > 6 drinks/week) and physical activity (aerobic physical activity ≥ 150 min vs aerobic physical activity < 150 min).” now reads: “Lifestyle characteristics included smoking status (current smoking or quit < 12 months vs non-smokers or quit > 12 months), alcohol consumption (non-alcohol consumption, ≤ 6 drinks/week, > 6 drinks/week) and aerobic physical activity (min/week).” The original Article has been corrected. AUTHOR INFORMATION AUTHORS AND AFFILIATIONS * Department of Population Health, Luxembourg Institute of Health, 1A‑B, rue Thomas Edison, 1445, Strassen, Luxembourg Maria Ruiz‑Castell, Saverio Stranges & Laetitia Huiart * Nutrition and Health Research Group, Department of Population Health, Luxembourg Institute of Health, 1A‑B, rue Thomas Edison, 1445, Strassen, Luxembourg Hanen Samouda * Competence Centre for Methodology and Statistics, Department of Population Health, Luxembourg Institute of Health, 1A‑B, rue Thomas Edison, 1445, Strassen, Luxembourg Valery Bocquet * Deep Digital Phenotyping Research Unit, Department of Population Health, Luxembourg Institute of Health, 1A‑B, rue Thomas Edison, 1445, Strassen, Luxembourg Guy Fagherazzi * Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, Kresge Building, 1151 Richmond St, London, ON, N6A 3K7, Canada Saverio Stranges * Department of Family Medicine, Schulich School of Medicine and Dentistry, Western University, Western Centre for Public Health and Family Medicine, 1465 Richmond St, London, ON, N6G 2M1, Canada Saverio Stranges Authors * Maria Ruiz‑Castell View author publications You can also search for this author inPubMed Google Scholar * Hanen Samouda View author publications You can also search for this author inPubMed Google Scholar * Valery Bocquet View author publications You can also search for this author inPubMed Google Scholar * Guy Fagherazzi View author publications You can also search for this author inPubMed Google Scholar * Saverio Stranges View author publications You can also search for this author inPubMed Google Scholar * Laetitia Huiart View author publications You can also search for this author inPubMed Google Scholar CORRESPONDING AUTHOR Correspondence to Maria Ruiz‑Castell. RIGHTS AND PERMISSIONS OPEN ACCESS This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. Reprints and permissions ABOUT THIS ARTICLE CITE THIS ARTICLE Ruiz‑Castell, M., Samouda, H., Bocquet, V. _et al._ Author Correction: Estimated visceral adiposity is associated with risk of cardiometabolic conditions in a population based study. _Sci Rep_ 11, 17434 (2021). https://doi.org/10.1038/s41598-021-96667-z Download citation * Published: 25 August 2021 * DOI: https://doi.org/10.1038/s41598-021-96667-z SHARE THIS ARTICLE Anyone you share the following link with will be able to read this content: Get shareable link Sorry, a shareable link is not currently available for this article. Copy to clipboard Provided by the Springer Nature SharedIt content-sharing initiative

Correction to: _Scientific Reports_ https://doi.org/10.1038/s41598-021-88587-9, published online 27 April 2021 The original version of this Article contained errors in the Abstract and the


Results section, under the subheading ‘VAT association with all cardiometabolic conditions’, where “The total adjusted odds ratio (AOR, [95% CI]) for hypertension, prediabetes/diabetes,


hypercholesterolemia, and hypertriglyceridemia for the fourth quartile of VAT compared to the lowest were (10.67 [6.95, 16.39]), (6.14 [4.14, 9.10]), (6.03 [3.97, 9.16]) and (9.18 [5.97,


14.12]).” now reads: “The total adjusted odds ratio (AOR, [95% CI]) for hypertension, prediabetes/diabetes, hypercholesterolemia, and hypertriglyceridemia for the fourth quartile of VAT


compared to the lowest were (10.22 [6.75, 15.47]), (5.90 [4.02, 8.67]), (3.60 [2.47, 5.25]) and (7.67 [5.04, 11.67]).” “The association observed was strongest in men for hypertension:


adjusted OR [95% CI] for men were 2.41 [1.40, 4.14], 3.79 [2.22, 6.47] and 10.80 [6.17, 18.92] for the second, third and fourth quartile of VAT. For women, the values were 1.93 [0.92, 4.02],


3.35 [1.66, 6.74] and 8.20 [4.09, 16.40] for the second, third and fourth quartile of VAT. Nevertheless, women observed a strongest association for combined prediabetes and diabetes (7.11


[3.68, 13.72] for the fourth quartile of VAT in women compared to 5.37 [3.23, 8.93] in men), hypercholesterolemia (8.22 [4.15, 16.26] for the fourth quartile of VAT in women compared to 4.67


[2.72, 8.02] in men) and hypertriglyceridemia (14.97 [6.47, 34.60] for the fourth quartile of VAT in women compared to 7.28 [4.27, 13.40] in men.” now reads: “The association observed was


strongest in men for hypertension: adjusted OR [95% CI] for men were 2.51 [1.46, 4.29], 4.08 [2.40, 6.93], and 11.83 [6.82, 20.49] for the second, third and fourth quartile of VAT. For


women, the values were 1.93 [0.92, 4.00], 3.41 [1.69, 6.85], and 8.21 [4.12, 16.36] for the second, third and fourth quartile of VAT. Nevertheless, women observed a strongest association for


combined prediabetes and diabetes (7.57 [3.93, 14.59] for the fourth quartile of VAT in women compared to 5.41 [3.26, 8.97] in men), hypercholesterolemia (5.28 [3.09, 9.00] for the fourth


quartile of VAT in women compared to 2.26 [1.33, 3.84] in men) and hypertriglyceridemia (14.62 [6.30, 33.90] for the fourth quartile of VAT in women compared to 6.78 [3.97, 11.56] in men.”


In addition, the original version of this Article contained a repeated error in Table 1, under the headings ‘Lifestyles and socioeconomic characteristics, n (%)’, where “Aerobic PA, min


(median (P25, P75))” now reads: “Aerobic PA, min/week (median (P25, P75))” Finally, in the Methods section, under the subheading ‘Covariates’, “Lifestyle characteristics included smoking


status (current smoking or quit < 12 months vs non-smokers or quit > 12 months), alcohol consumption (non-alcohol consumption, ≤ 6 drinks/week, > 6 drinks/week) and physical


activity (aerobic physical activity ≥ 150 min vs aerobic physical activity < 150 min).” now reads: “Lifestyle characteristics included smoking status (current smoking or quit < 12 


months vs non-smokers or quit > 12 months), alcohol consumption (non-alcohol consumption, ≤ 6 drinks/week, > 6 drinks/week) and aerobic physical activity (min/week).” The original


Article has been corrected. AUTHOR INFORMATION AUTHORS AND AFFILIATIONS * Department of Population Health, Luxembourg Institute of Health, 1A‑B, rue Thomas Edison, 1445, Strassen, Luxembourg


Maria Ruiz‑Castell, Saverio Stranges & Laetitia Huiart * Nutrition and Health Research Group, Department of Population Health, Luxembourg Institute of Health, 1A‑B, rue Thomas Edison,


1445, Strassen, Luxembourg Hanen Samouda * Competence Centre for Methodology and Statistics, Department of Population Health, Luxembourg Institute of Health, 1A‑B, rue Thomas Edison, 1445,


Strassen, Luxembourg Valery Bocquet * Deep Digital Phenotyping Research Unit, Department of Population Health, Luxembourg Institute of Health, 1A‑B, rue Thomas Edison, 1445, Strassen,


Luxembourg Guy Fagherazzi * Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, Kresge Building, 1151 Richmond St, London, ON, N6A


3K7, Canada Saverio Stranges * Department of Family Medicine, Schulich School of Medicine and Dentistry, Western University, Western Centre for Public Health and Family Medicine, 1465


Richmond St, London, ON, N6G 2M1, Canada Saverio Stranges Authors * Maria Ruiz‑Castell View author publications You can also search for this author inPubMed Google Scholar * Hanen Samouda


View author publications You can also search for this author inPubMed Google Scholar * Valery Bocquet View author publications You can also search for this author inPubMed Google Scholar *


Guy Fagherazzi View author publications You can also search for this author inPubMed Google Scholar * Saverio Stranges View author publications You can also search for this author inPubMed 


Google Scholar * Laetitia Huiart View author publications You can also search for this author inPubMed Google Scholar CORRESPONDING AUTHOR Correspondence to Maria Ruiz‑Castell. RIGHTS AND


PERMISSIONS OPEN ACCESS This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any


medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The


images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is


not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission


directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. Reprints and permissions ABOUT THIS ARTICLE CITE THIS ARTICLE


Ruiz‑Castell, M., Samouda, H., Bocquet, V. _et al._ Author Correction: Estimated visceral adiposity is associated with risk of cardiometabolic conditions in a population based study. _Sci


Rep_ 11, 17434 (2021). https://doi.org/10.1038/s41598-021-96667-z Download citation * Published: 25 August 2021 * DOI: https://doi.org/10.1038/s41598-021-96667-z SHARE THIS ARTICLE Anyone


you share the following link with will be able to read this content: Get shareable link Sorry, a shareable link is not currently available for this article. Copy to clipboard Provided by the


Springer Nature SharedIt content-sharing initiative