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Neck Circumference as an Independent Cardiometabolic Risk Factor: A Cross-sectional Study in Kinshasa

Received: 24 June 2020     Accepted: 16 July 2020     Published: 13 August 2020
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Abstract

Objective: To investigate the association between neck circumference (NC) and traditional cardiometabolic risk factors (CMRF) among adult’s population at Kinshasa. Methods: A total of 400 participants were recruited. Spearman’s correlation coefficient was employed to test the correlations between NC and CMRF. The association of NC with CMRF (dependent variables) was assessed by logistic regression. The receiver operating characteristics (ROC) curve analysis had allowed determining the cut-off points of NC to detect the presence of CMRF. Results: The average of age and WC was 55.4±12.0 years and 79.8±12.0 cm, respectively. The median value of BMI was significantly higher in women (24.6 kg/m2) than in men (22.6 kg/m2); whereas the median value of NC was significantly higher in men (37.8 cm) than in women (33.3 cm) (p < 0.001). In both men and women, NC was positively correlated with TC, LDL, TG and WC. Additionally, FPG and HDL were positively correlated with NC significantly. Moreover, there was a significant positive correlation between NECK and FPG but a significant negative correlation between NECK and HDLc among women. TG in men, raised TC, LDL and WC were found to be significantly associated with neck circumference with ORs 1.25 (95% CI: 1.08, 1.44), 0.67 (95% CI: 0.53, 0.85), 1.13 (95% CI: 1.02, 1.26), 1.27 (95% CI: 1.12, 1.45) in men versus 1.18 (95% CI: 1.03, 1.36) in women, 1.19 (95% CI: 1.06, 1.34) in men versus 1.21 (95% CI: 1.06, 1.38) in women and 1.18 (95% CI: 1.06, 1.36) in men versus 1.43 (95% CI: 1.23, 1.66) in women, respectively. Cut-off points for NC to identify CMRF were between 37.5 and 38 cm in men, 32.5 and 33 cm in women. Conclusion: NC is associated with CMRF, and could be a useful and accurate tool to identify high risk participants.

Published in International Journal of Diabetes and Endocrinology (Volume 5, Issue 2)
DOI 10.11648/j.ijde.20200502.13
Page(s) 27-33
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2020. Published by Science Publishing Group

Keywords

Neck Circumference, Cardiometabolic Risk, Kinshasa

References
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[4] Preis SR, Massaro JM, Hoffmann U, D’Agostino RB Sr, Levy D, Robins SJ, et al. Neck circumference as a novel measure of cardiometabolic risk: the Framingham Heart study. J Clin Endocrinol Metab. 2010; 95 (8): 3701–10.
[5] Stabe C, Vasques ACJ, Lima MMO, Tambascia MA, Pareja JC, Yamanaka A et al. Neck circumference as a simple tool for identifying the metabolic syndrome and insulin resistance: results from the Brazilian metabolic syndrome study. Clin Endocrinol. 2013; 78 (6): 874–81.
[6] Zhou JY, Ge H, Zhu MF, Wang LJ, Chen L, Tan YZ, et al. Neck circumference as an independent predictive contributor to cardio-metabolic syndrome. Cardiovasc Diabetol. 2013; 12 (76): 10–1186.
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[12] Galvin P, Wa rd G, Walters J, Pestell R, Koschmann M, Vaag A, et al. A simple method for quantitation of insulin sensitivity and insulin release from an intravenous glucose tolerance test. Diabet Med 9: 921–928, 1992.
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[15] Namazi N, Larijani B, Surkan PJ, Azadbakht L. The association of neck circumference with risk of metabolic syndrome and its components in adults: A systematic review and meta-analysis. Nutrition, Metabolism & Cardiovascular Diseases (2018) 28, 657e674.
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    Danny Mafuta-Munganga, Benjamin Longo-Mbenza, Gedeon Longo-Longo, Manzala, Victor Nzuzi, et al. (2020). Neck Circumference as an Independent Cardiometabolic Risk Factor: A Cross-sectional Study in Kinshasa. International Journal of Diabetes and Endocrinology, 5(2), 27-33. https://doi.org/10.11648/j.ijde.20200502.13

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    ACS Style

    Danny Mafuta-Munganga; Benjamin Longo-Mbenza; Gedeon Longo-Longo; Manzala; Victor Nzuzi, et al. Neck Circumference as an Independent Cardiometabolic Risk Factor: A Cross-sectional Study in Kinshasa. Int. J. Diabetes Endocrinol. 2020, 5(2), 27-33. doi: 10.11648/j.ijde.20200502.13

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    AMA Style

    Danny Mafuta-Munganga, Benjamin Longo-Mbenza, Gedeon Longo-Longo, Manzala, Victor Nzuzi, et al. Neck Circumference as an Independent Cardiometabolic Risk Factor: A Cross-sectional Study in Kinshasa. Int J Diabetes Endocrinol. 2020;5(2):27-33. doi: 10.11648/j.ijde.20200502.13

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  • @article{10.11648/j.ijde.20200502.13,
      author = {Danny Mafuta-Munganga and Benjamin Longo-Mbenza and Gedeon Longo-Longo and Manzala and Victor Nzuzi and Jean Bosco Kasiam Lasi On’kin and Etienne Mokondjimobe and Aliocha Nkondila Natuhoyila},
      title = {Neck Circumference as an Independent Cardiometabolic Risk Factor: A Cross-sectional Study in Kinshasa},
      journal = {International Journal of Diabetes and Endocrinology},
      volume = {5},
      number = {2},
      pages = {27-33},
      doi = {10.11648/j.ijde.20200502.13},
      url = {https://doi.org/10.11648/j.ijde.20200502.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijde.20200502.13},
      abstract = {Objective: To investigate the association between neck circumference (NC) and traditional cardiometabolic risk factors (CMRF) among adult’s population at Kinshasa. Methods: A total of 400 participants were recruited. Spearman’s correlation coefficient was employed to test the correlations between NC and CMRF. The association of NC with CMRF (dependent variables) was assessed by logistic regression. The receiver operating characteristics (ROC) curve analysis had allowed determining the cut-off points of NC to detect the presence of CMRF. Results: The average of age and WC was 55.4±12.0 years and 79.8±12.0 cm, respectively. The median value of BMI was significantly higher in women (24.6 kg/m2) than in men (22.6 kg/m2); whereas the median value of NC was significantly higher in men (37.8 cm) than in women (33.3 cm) (p < 0.001). In both men and women, NC was positively correlated with TC, LDL, TG and WC. Additionally, FPG and HDL were positively correlated with NC significantly. Moreover, there was a significant positive correlation between NECK and FPG but a significant negative correlation between NECK and HDLc among women. TG in men, raised TC, LDL and WC were found to be significantly associated with neck circumference with ORs 1.25 (95% CI: 1.08, 1.44), 0.67 (95% CI: 0.53, 0.85), 1.13 (95% CI: 1.02, 1.26), 1.27 (95% CI: 1.12, 1.45) in men versus 1.18 (95% CI: 1.03, 1.36) in women, 1.19 (95% CI: 1.06, 1.34) in men versus 1.21 (95% CI: 1.06, 1.38) in women and 1.18 (95% CI: 1.06, 1.36) in men versus 1.43 (95% CI: 1.23, 1.66) in women, respectively. Cut-off points for NC to identify CMRF were between 37.5 and 38 cm in men, 32.5 and 33 cm in women. Conclusion: NC is associated with CMRF, and could be a useful and accurate tool to identify high risk participants.},
     year = {2020}
    }
    

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  • TY  - JOUR
    T1  - Neck Circumference as an Independent Cardiometabolic Risk Factor: A Cross-sectional Study in Kinshasa
    AU  - Danny Mafuta-Munganga
    AU  - Benjamin Longo-Mbenza
    AU  - Gedeon Longo-Longo
    AU  - Manzala
    AU  - Victor Nzuzi
    AU  - Jean Bosco Kasiam Lasi On’kin
    AU  - Etienne Mokondjimobe
    AU  - Aliocha Nkondila Natuhoyila
    Y1  - 2020/08/13
    PY  - 2020
    N1  - https://doi.org/10.11648/j.ijde.20200502.13
    DO  - 10.11648/j.ijde.20200502.13
    T2  - International Journal of Diabetes and Endocrinology
    JF  - International Journal of Diabetes and Endocrinology
    JO  - International Journal of Diabetes and Endocrinology
    SP  - 27
    EP  - 33
    PB  - Science Publishing Group
    SN  - 2640-1371
    UR  - https://doi.org/10.11648/j.ijde.20200502.13
    AB  - Objective: To investigate the association between neck circumference (NC) and traditional cardiometabolic risk factors (CMRF) among adult’s population at Kinshasa. Methods: A total of 400 participants were recruited. Spearman’s correlation coefficient was employed to test the correlations between NC and CMRF. The association of NC with CMRF (dependent variables) was assessed by logistic regression. The receiver operating characteristics (ROC) curve analysis had allowed determining the cut-off points of NC to detect the presence of CMRF. Results: The average of age and WC was 55.4±12.0 years and 79.8±12.0 cm, respectively. The median value of BMI was significantly higher in women (24.6 kg/m2) than in men (22.6 kg/m2); whereas the median value of NC was significantly higher in men (37.8 cm) than in women (33.3 cm) (p < 0.001). In both men and women, NC was positively correlated with TC, LDL, TG and WC. Additionally, FPG and HDL were positively correlated with NC significantly. Moreover, there was a significant positive correlation between NECK and FPG but a significant negative correlation between NECK and HDLc among women. TG in men, raised TC, LDL and WC were found to be significantly associated with neck circumference with ORs 1.25 (95% CI: 1.08, 1.44), 0.67 (95% CI: 0.53, 0.85), 1.13 (95% CI: 1.02, 1.26), 1.27 (95% CI: 1.12, 1.45) in men versus 1.18 (95% CI: 1.03, 1.36) in women, 1.19 (95% CI: 1.06, 1.34) in men versus 1.21 (95% CI: 1.06, 1.38) in women and 1.18 (95% CI: 1.06, 1.36) in men versus 1.43 (95% CI: 1.23, 1.66) in women, respectively. Cut-off points for NC to identify CMRF were between 37.5 and 38 cm in men, 32.5 and 33 cm in women. Conclusion: NC is associated with CMRF, and could be a useful and accurate tool to identify high risk participants.
    VL  - 5
    IS  - 2
    ER  - 

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Author Information
  • Department of Internal Medicine, University of Kinshasa, Kinshasa, Democratic Republic of Congo

  • Department of Internal Medicine, University of Kinshasa, Kinshasa, Democratic Republic of Congo

  • Department of Public Health, Lomo University of Research, Kinshasa, Democratic Republic of Congo

  • Department of Public Health, Lomo University of Research, Kinshasa, Democratic Republic of Congo

  • Department of Public Health, Lomo University of Research, Kinshasa, Democratic Republic of Congo

  • Department of Internal Medicine, University of Kinshasa, Kinshasa, Democratic Republic of Congo

  • Department of Public Health, Lomo University of Research, Kinshasa, Democratic Republic of Congo

  • Department of Public Health, Lomo University of Research, Kinshasa, Democratic Republic of Congo

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