Circunferência do pescoço como marcador preditivo para síndrome metabólica e risco cardiovascular
Palavras-chave:
Antropometria, Adiposidade, Síndrome Metabólica
Resumo
A circunferência de cintura é há muito tempo o índice padrão para avaliar a gordura abdominal na identificação de pacientes com síndrome metabólica. No entanto, observa-se que uma proporção de doentes com doenças cardiovasculares exibe essa circunferência normal. Assim, o objetivo deste estudo foi avaliar se a circunferência de pescoço pode ser utilizada como marcador preditivo para Síndrome Metabólica e risco cardiovascular. Participaram deste estudo transversal, 42 indivíduos submetidos à avaliação socioeconômica e antropométrica. A circunferência do pescoço correlacionou-se positivamente com a circunferência de cintura, glicemia de jejum, pressão arterial sistólica e diastólica e triglicerídeos. A curva Receiver Operating Characteristic exibiu ponto de corte de 40 cm com alto risco cardiovascular acima deste valor. Os resultados demonstram que a circunferência de pescoço além de rápida e não invasiva pode ser útil na previsão de Síndrome Metabólica e risco cardiovascular.
Referências
1. Merces MC, Santana AIC, Lua I, Silva DAR, Silva DS, Gomes AMT. et al.Metabolic Syndrome Among Primary Health Care Nursing Professionals: A Cross-Sectional Population-Based Study. Int. J. Environ. Res. Public Health 16, 2686 (2019). doi: https://doi.org/10.3390/ijerph16152686
2. LimaMCP, Melo ASO, SenaASS,Barros VO, Amorim MMRC. Metabolic syndrome in pregnancy and postpartum: Prevalence and associated factors. Rev. Assoc. Med. Bras. 65, 1489–1495 (2019). doi: http://dx.doi.org/10.1590/1806-9282.65.12.1489
3. Polo TCF, CorrenteJE, Miot LDB, Papini SJ,Miot HA. Dietary patterns of patients with psoriasis at a public healthcare institution in Brazil. An. Bras. Dermatol.95, 452–458 (2020). doi: https://doi.org/10.1016/j.abd.2020.02.002
4. Moreira M A, Vafaei A,Câmara SMA, Nascimento RA, Morais MSM, Almeida MGM. et al. Metabolic syndrome (MetS) and associated factors in middle-aged women: a cross-sectional study in Northeast Brazil. Women Heal.60, 601–617 (2020). doi: https://doi.org/10.1080/03630242.2019.1688445
5. Vizmanos B, Betancourt-Nuñez A, Márquez-Sandoval F, González-Zapata L,Monsalve-Álvarez J, Bressan JV. et al.Metabolic Syndrome among Young Health Professionals in the Multicenter Latin America Metabolic Syndrome Study. Metab. Syndr. Relat. Disord.18, 86–95 (2020). doi: https://doi.org/10.1089/met.2019.0086
6. Vidigal FC, Bressan J, Babio N, Salas-Salvadó J. Prevalence of metabolic syndrome in Brazilian adults: A systematic review. BMC Public Health 13, (2013). doi: https://doi.org/10.1186/1471-2458-13-1198
7. Yang Q & Civelek M. Transcription Factor KLF14 and Metabolic Syndrome. Front. Cardiovasc. Med.7, 1–13 (2020). doi:https://doi.org/10.3389/fcvm.2020.00091
8. CominiL O,Oliveira LC, Borges LD, Dias HH, Batistelli CRS, Silva LS. et al.Individual and combined components of metabolic syndrome with chronic kidney disease in individuals with hypertension and/or Diabetes mellitus accompanied by primary health care. Diabetes, Metab. Syndr. Obes. Targets Ther.13, 71–80 (2020). doi:https://doi.org/10.2147/DMSO.S223929.
9. Oliveira HR, Toso BRGO, GuimarãesATB, Viera CS, Grassiolli S, Frizon BJZO. et al. Glycemia and Lipidemia in Term Newborns Correlate With Maternal Metabolism. Glob. Pediatr. Heal.6, 0–6 (2019). doi: https://doi.org/10.1177%2F2333794X15589560
10. Barbosa PS, Santos RP, Mendonça JLS, Rocha VS. Circunferência do pescoço e sua associação com parâmetros antropométricos de adiposidade corporal em adultos. Braspen J 32, 315–320 (2017). Disponível em: http://arquivos.braspen.org/journal/out-dez-2017/04-Circunferencia-do-pescoco.pdf/
11. Tażbirek M, Potoczny J, Strójwąs K, Pierzchała W,Barczyk A. Anthropometric Factors in the Assessment of Obstructive Sleep Apnea Risk in Patients with Metabolic Syndrome. Advances in Experimental Medicine and Biology (2019). doi: https://doi.org/10.1007/5584_2019_376
12. Preis SR, Massaro JM, Hoffmann U, D'Agostino RB, Levy D, Robins SJ. et al. Neck circumference as a novel measure of cardiometabolic risk: The framingham heart study. J. Clin. Endocrinol. Metab.95, 3701–3710 (2010). doi:https://doi.org/10.1210/jc.2009-1779
13. Nielsen S, Hensrud DD, Jensen MD, Nielsen S, Guo Z, Johnson C M. et al. Splanchnic lipolysis in human obesity Find the latest version : Splanchnic lipolysis in human obesity. J. Clin. Invest.113, 1582–1588 (2004). doi: https://doi.org/10.1172/JCI21047
14. Zhang Y, Wu H, Xu Y, Qin H, Lan C, Wang W. The correlation between neck circumference and risk factors in patients with hypertension: What matters. Medicine (Baltimore).99, e22998 (2020). doi: https://doi.org/ 10.1097/MD.0000000000022998
15. Alberti KGMM, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA. et al.Harmonizing the Metabolic Syndrome International Atherosclerosis Society ; and International Association for the Study of Obesity. Circulation 1640–1645 (2009). doi: https://doi.org/10.1161/CIRCULATIONAHA.109.192644
16. Framingham Heart Study. Disponível em https://framinghamheartstudy.org/.
17. Cui T, Yan BH, Liu Z, Yang H, Gyan M, Ma YX. Neck circumference: A valuable anthropometric measurement to detect metabolic syndrome among different age groups in China. Diabetes. Metab. Res. Rev.34, (2018). doi: https://doi.org/10.1002/dmrr.2966
18. Mendes CG, Barbalho SM, Tofano RJ, Lopes G, Quesada KR, Detregiachi CRP.et al.Is Neck Circumference As Reliable As Waist Circumference for Determining Metabolic Syndrome? Metab. Syndr. Relat. Disord.19, 32–38 (2020). doi: https://doi.org/10.1089/met.2020.0083
19. Ataie‑Jafari A, Namazi N, Djalalinia S, Chaghamirzayi P, Abdar ME, Zadehe SS. et al.Neck circumference and its association with cardiometabolic risk factors: a systematic review and meta‑analysis. Diabetol Metab Syndr10, (2018). doi: https://doi.org/10.1186/s13098-018-0373-y
20. Seloka MA, Matshipi M, Mphekgwana PM & Monyeki KD. Obesity indices to use for identifying metabolic syndrome among rural adults in south africa. Int. J. Environ. Res. Public Health17, 1–10 (2020). doi: https://doi.org/10.3390/ijerph17228321
21. Jian C, Xu Y, MaX, Shen Y, Wang Y, Bao Y.Neck Circumference is an Effective Supplement for Nonalcoholic Fatty Liver Disease Screening in a Community-Based Population. Int. J. Endocrinol.2020, (2020). doi:https://doi.org/10.1155/2020/7982107
22. Ben-Noun L & Laor A. Relationship between changes in neck circumference and changes in blood pressure. Am. J. Hypertens.17, 409–414 (2004). doi:https://doi.org/10.1016/j.amjhyper.2004.02.005
23. Stabe C, Vasques ACJ, LimaMMO, TambasciaMA, Pareja JC, YamanakaA. 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. (Oxf).78, 874–881 (2013). doi: https://doi.org/10.1111/j.1365-2265.2012.04487.x
24. Zaciragic A, Elezovic M, Avdagic N, Babic N, Dervisevic A, Lepara O.et al.Relationship between the neck circumference, standard anthropometric measures, and blood pressure in Bosnian young adults. Eurasian J. Med.51, 149–152 (2019). Doi: https://doi.org/10.5152/eurasianjmed.2018.18197
25. Vallianou NG, Evangelopoulos AA, Bountziouka, V, Vogiatzakis ED, BonouMS, Barbetseas J. et al.Neck circumference is correlated with triglycerides and inversely related with HDL cholesterol beyond BMI and waist circumference. Diabetes. Metab. Res. Rev.29, 90–97 (2013). doi: https://doi.org/10.1002/dmrr.2369
26. CaroP, Guerra X, Canals A, Weisstaub G & Sandaña C. Is neck circumference an appropriate tool to predict cardiovascular risk in clinical practice? A cross-sectional study in Chilean population. BMJ Open9, 4–7 (2019). doi:https://doi.org/10.1136/bmjopen-2018-028305
2. LimaMCP, Melo ASO, SenaASS,Barros VO, Amorim MMRC. Metabolic syndrome in pregnancy and postpartum: Prevalence and associated factors. Rev. Assoc. Med. Bras. 65, 1489–1495 (2019). doi: http://dx.doi.org/10.1590/1806-9282.65.12.1489
3. Polo TCF, CorrenteJE, Miot LDB, Papini SJ,Miot HA. Dietary patterns of patients with psoriasis at a public healthcare institution in Brazil. An. Bras. Dermatol.95, 452–458 (2020). doi: https://doi.org/10.1016/j.abd.2020.02.002
4. Moreira M A, Vafaei A,Câmara SMA, Nascimento RA, Morais MSM, Almeida MGM. et al. Metabolic syndrome (MetS) and associated factors in middle-aged women: a cross-sectional study in Northeast Brazil. Women Heal.60, 601–617 (2020). doi: https://doi.org/10.1080/03630242.2019.1688445
5. Vizmanos B, Betancourt-Nuñez A, Márquez-Sandoval F, González-Zapata L,Monsalve-Álvarez J, Bressan JV. et al.Metabolic Syndrome among Young Health Professionals in the Multicenter Latin America Metabolic Syndrome Study. Metab. Syndr. Relat. Disord.18, 86–95 (2020). doi: https://doi.org/10.1089/met.2019.0086
6. Vidigal FC, Bressan J, Babio N, Salas-Salvadó J. Prevalence of metabolic syndrome in Brazilian adults: A systematic review. BMC Public Health 13, (2013). doi: https://doi.org/10.1186/1471-2458-13-1198
7. Yang Q & Civelek M. Transcription Factor KLF14 and Metabolic Syndrome. Front. Cardiovasc. Med.7, 1–13 (2020). doi:https://doi.org/10.3389/fcvm.2020.00091
8. CominiL O,Oliveira LC, Borges LD, Dias HH, Batistelli CRS, Silva LS. et al.Individual and combined components of metabolic syndrome with chronic kidney disease in individuals with hypertension and/or Diabetes mellitus accompanied by primary health care. Diabetes, Metab. Syndr. Obes. Targets Ther.13, 71–80 (2020). doi:https://doi.org/10.2147/DMSO.S223929.
9. Oliveira HR, Toso BRGO, GuimarãesATB, Viera CS, Grassiolli S, Frizon BJZO. et al. Glycemia and Lipidemia in Term Newborns Correlate With Maternal Metabolism. Glob. Pediatr. Heal.6, 0–6 (2019). doi: https://doi.org/10.1177%2F2333794X15589560
10. Barbosa PS, Santos RP, Mendonça JLS, Rocha VS. Circunferência do pescoço e sua associação com parâmetros antropométricos de adiposidade corporal em adultos. Braspen J 32, 315–320 (2017). Disponível em: http://arquivos.braspen.org/journal/out-dez-2017/04-Circunferencia-do-pescoco.pdf/
11. Tażbirek M, Potoczny J, Strójwąs K, Pierzchała W,Barczyk A. Anthropometric Factors in the Assessment of Obstructive Sleep Apnea Risk in Patients with Metabolic Syndrome. Advances in Experimental Medicine and Biology (2019). doi: https://doi.org/10.1007/5584_2019_376
12. Preis SR, Massaro JM, Hoffmann U, D'Agostino RB, Levy D, Robins SJ. et al. Neck circumference as a novel measure of cardiometabolic risk: The framingham heart study. J. Clin. Endocrinol. Metab.95, 3701–3710 (2010). doi:https://doi.org/10.1210/jc.2009-1779
13. Nielsen S, Hensrud DD, Jensen MD, Nielsen S, Guo Z, Johnson C M. et al. Splanchnic lipolysis in human obesity Find the latest version : Splanchnic lipolysis in human obesity. J. Clin. Invest.113, 1582–1588 (2004). doi: https://doi.org/10.1172/JCI21047
14. Zhang Y, Wu H, Xu Y, Qin H, Lan C, Wang W. The correlation between neck circumference and risk factors in patients with hypertension: What matters. Medicine (Baltimore).99, e22998 (2020). doi: https://doi.org/ 10.1097/MD.0000000000022998
15. Alberti KGMM, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA. et al.Harmonizing the Metabolic Syndrome International Atherosclerosis Society ; and International Association for the Study of Obesity. Circulation 1640–1645 (2009). doi: https://doi.org/10.1161/CIRCULATIONAHA.109.192644
16. Framingham Heart Study. Disponível em https://framinghamheartstudy.org/.
17. Cui T, Yan BH, Liu Z, Yang H, Gyan M, Ma YX. Neck circumference: A valuable anthropometric measurement to detect metabolic syndrome among different age groups in China. Diabetes. Metab. Res. Rev.34, (2018). doi: https://doi.org/10.1002/dmrr.2966
18. Mendes CG, Barbalho SM, Tofano RJ, Lopes G, Quesada KR, Detregiachi CRP.et al.Is Neck Circumference As Reliable As Waist Circumference for Determining Metabolic Syndrome? Metab. Syndr. Relat. Disord.19, 32–38 (2020). doi: https://doi.org/10.1089/met.2020.0083
19. Ataie‑Jafari A, Namazi N, Djalalinia S, Chaghamirzayi P, Abdar ME, Zadehe SS. et al.Neck circumference and its association with cardiometabolic risk factors: a systematic review and meta‑analysis. Diabetol Metab Syndr10, (2018). doi: https://doi.org/10.1186/s13098-018-0373-y
20. Seloka MA, Matshipi M, Mphekgwana PM & Monyeki KD. Obesity indices to use for identifying metabolic syndrome among rural adults in south africa. Int. J. Environ. Res. Public Health17, 1–10 (2020). doi: https://doi.org/10.3390/ijerph17228321
21. Jian C, Xu Y, MaX, Shen Y, Wang Y, Bao Y.Neck Circumference is an Effective Supplement for Nonalcoholic Fatty Liver Disease Screening in a Community-Based Population. Int. J. Endocrinol.2020, (2020). doi:https://doi.org/10.1155/2020/7982107
22. Ben-Noun L & Laor A. Relationship between changes in neck circumference and changes in blood pressure. Am. J. Hypertens.17, 409–414 (2004). doi:https://doi.org/10.1016/j.amjhyper.2004.02.005
23. Stabe C, Vasques ACJ, LimaMMO, TambasciaMA, Pareja JC, YamanakaA. 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. (Oxf).78, 874–881 (2013). doi: https://doi.org/10.1111/j.1365-2265.2012.04487.x
24. Zaciragic A, Elezovic M, Avdagic N, Babic N, Dervisevic A, Lepara O.et al.Relationship between the neck circumference, standard anthropometric measures, and blood pressure in Bosnian young adults. Eurasian J. Med.51, 149–152 (2019). Doi: https://doi.org/10.5152/eurasianjmed.2018.18197
25. Vallianou NG, Evangelopoulos AA, Bountziouka, V, Vogiatzakis ED, BonouMS, Barbetseas J. et al.Neck circumference is correlated with triglycerides and inversely related with HDL cholesterol beyond BMI and waist circumference. Diabetes. Metab. Res. Rev.29, 90–97 (2013). doi: https://doi.org/10.1002/dmrr.2369
26. CaroP, Guerra X, Canals A, Weisstaub G & Sandaña C. Is neck circumference an appropriate tool to predict cardiovascular risk in clinical practice? A cross-sectional study in Chilean population. BMJ Open9, 4–7 (2019). doi:https://doi.org/10.1136/bmjopen-2018-028305
Publicado
2022-09-13
Como Citar
1.
Perlin CM, Groto AD, Dalposso GH, Dal Canton LE, Salamanca MAB, Lehmann KR. Circunferência do pescoço como marcador preditivo para síndrome metabólica e risco cardiovascular. Revista de Saúde Pública do Paraná [Internet]. 13set.2022 [citado 20abr.2024];5(3):1-6. Available from: http://revista.escoladesaude.pr.gov.br/index.php/rspp/article/view/633
Edição
Seção
Artigos originais
This work is licensed under a Creative Commons Attribution 4.0 International License.
Autores que publicam nesta revista concordam com os seguintes termos:
A) Autores mantêm os direitos autorais e concedem à revista o direito de primeira publicação, com o trabalho simultaneamente licenciado sob a Licença Creative Commons Attribution que permite o compartilhamento do trabalho com reconhecimento da autoria e publicação inicial nesta revista.
B) Autores têm autorização para assumir contratos adicionais separadamente, para distribuição não-exclusiva da versão do trabalho publicada nesta revista (ex.: publicar em repositório institucional ou como capítulo de livro), com reconhecimento de autoria e publicação inicial nesta revista.
C) Autores têm permissão e são estimulados a publicar e distribuir seu trabalho online (ex.: em repositórios institucionais ou na sua página pessoal) a qualquer ponto antes ou durante o processo editorial, já que isso pode gerar alterações produtivas, bem como aumentar o impacto e a citação do trabalho publicado (Veja O Efeito do Acesso Livre).
