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

Danny Mafuta-Munganga; Benjamin Longo-Mbenza; Gedeon Longo-Longo; Manzala; Victor Nzuzi; Jean Bosco Kasiam Lasi On’kin; Etienne Mokondjimobe; Aliocha Nkondila Natuhoyila

doi:doi:10.11648/j.ijde.20200502.13

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

Danny Mafuta-Munganga, Benjamin Longo-Mbenza, Gedeon Longo-Longo, Manzala, Victor Nzuzi, Jean Bosco Kasiam Lasi On’kin, Etienne Mokondjimobe, Aliocha Nkondila Natuhoyila

Published in International Journal of Diabetes and Endocrinology (Volume 5, Issue 2)

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), 2024. Published by Science Publishing Group

Keywords

Neck Circumference, Cardiometabolic Risk, Kinshasa

References

[1]	Christopher JL, Murray CJL, Lopez AD. Measuring the global burden of disease. N Engl J Med. 2013; 369: 448–57. https ://doi.org/10.1056/NEJMra1201 534.
[2]	Dai Y, Wan X, Li X, Jin E, Li X. Neck circumference and future cardiovascular events in a high-risk population—A prospective cohort study. Lipids Health Dis. 2016; 5 (15): 46. https://doi.org/10.1186/s12944-016-0218-3.
[3]	Grunfeld C, Rimland D, Gibert CL. Association of upper trunk and visceral adipose tissue volume with insulin resistance in control and HIV-infected subjects in the FRAM study. J Acquir Immune Defic Syndr 2007; 46: 283–290.
[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.
[7]	Sjostrom CD, Håkangård AC, Lissner L, Sjostrom L. Body compartment and subcutaneous adipose tissue distribution risk factor patterns in obese subjects. Obes Res 1995; 3: 9–22.
[8]	Onat A, Hergenc G, Yuksel H, Can G, Ayhan E, Kaya Z, et al. Neck circumference as a measure of central obesity: associations with metabolic syndrome and obstructive sleep apnea syndrome beyond waist circumference. Clin Nutr 2009; 28: 46–51.
[9]	Laakso M, Matilainen V, Keinanen-Kiukaanniemi S. Association of neck circumference with insulin resistance-related factors. Int J Obes Relat Metab Disord 2002; 26: 873–875.
[10]	Ben-Noun LL, Laor A. Relationship between changes in neck circumference and cardiovascular risk factors. Exp Clin Cardiol 2006; 11: 14–20.
[11]	Nasila Sungwacha J, Tyler J, Longo-Mbenza B, Lasi On’Kin JBK, Gombet T, Erasmus RT. Assessing clustering of metabolic syndrome components available at primary care for Bantu Africans using factor analysis in the general population. BMC Res Notes 2013; 6 (1): 228. https://doi.org/10.1186/1756-0500-6-228.
[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.
[13]	Joshipura K, Munoz-Torres F, Vergara J. Neck Circumference May Be a Better Alternative to Standard Anthropometric Measures. JDiabetes Res 2016; 2016: 6058916.
[14]	Preis SR, Pencina MJ, D'Agostino Sr RB. Neck circumference and the development of cardiovascular disease risk factors in the Framingham Heart Study. Diabetes Care 2013; 36 (1): e3.
[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

Danny Mafuta-Munganga

Department of Internal Medicine, University of Kinshasa, Kinshasa, Democratic Republic of Congo
Benjamin Longo-Mbenza

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 Environments, Faculty of Health Sciences, Walter Sisulu University, Mthatha, South Africa
Gedeon Longo-Longo

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

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

Department of Public Health, Lomo University of Research, Kinshasa, Democratic Republic of Congo
Jean Bosco Kasiam Lasi On’kin

Department of Internal Medicine, University of Kinshasa, Kinshasa, Democratic Republic of Congo
Etienne Mokondjimobe

Department of Public Health, Lomo University of Research, Kinshasa, Democratic Republic of Congo; Department of Environments, Faculty of Health Sciences, Marien Ngouabi University, Brazzaville, Republic of Congo
Aliocha Nkondila Natuhoyila

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

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APA Style

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

Copy | Download

@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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