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 |
Neck Circumference, Cardiometabolic Risk, Kinshasa
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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
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
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
@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} }
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 -