Please use this identifier to cite or link to this item: https://repositorio.ufba.br/handle/ri/38862
Full metadata record
DC FieldValueLanguage
dc.creatorNeiva, Naiara Brunelle Oliveira-
dc.date.accessioned2024-01-12T13:07:39Z-
dc.date.available2024-01-12T13:07:39Z-
dc.date.issued2023-09-29-
dc.identifier.citationNEIVA, Naiara Brunelle Oliveira. Qualidade e duração do sono e a síndrome metabólica: um estudo de associação. 2023. 78 f. Dissertação (Mestrado Acadêmico em Processos Interativos de Órgãos e Sistemas) - Instituto de Ciências da Saúde, Universidade Federal da Bahia, Salvador, 2023.pt_BR
dc.identifier.urihttps://repositorio.ufba.br/handle/ri/38862-
dc.description.abstractINTRODUCTION: Metabolic Syndrome (MS) is a complex disorder, characterized by cardiovascular risk factors, related to the simultaneous impairment of metabolic and vascular functions and central obesity. However, other mechanisms appear to be related to MS, such as sleep disorders, which appear to interrupt essential homeostatic processes. Therefore, this study aims to investigate the association between sleep quality and MS and its associated factors. METHODS: this is a cross-sectional study, with 166 adult and elderly individuals, of both sexes, attended at the Center for Research and Extension in Nutritional Genomics and Metabolic Dysfunctions (GENUT/UNEB). The diagnosis of MS was defined according to criteria proposed by the International Diabetes Federation (IDF, 2006) and the qualitative and quantitative assessment of sleep, based on the application of the Pittsburgh Sleep Quality Index (PSQI). Sleep duration was categorized as: short, <6 hours per night; adequate, 6-8 hours per night and long, >8 hours per night. Data were analyzed using Stata software (version 12.0). The Chi-Square test or Fisher's exact test were used to identify associations between nominal variables, and the Student's t-test, Mann-Whitney or Kruskal-Wallis test for quantitative variables. To evaluate the correlation coefficient between non-parametric variables, Spearman's coefficient was applied. The significance level established was 5%. This project was approved by the UNEB Research Ethics committee, CAEE: 03409712.9.3001.5023. RESULTS: Data from 166 individuals were investigated, 116 with MS and 50 without MS. No association was found between sleep quality (p=0.357) and duration (p=0.159) and MS. However, in alcoholic individuals, there was an association between poor sleep quality and low HDL-c (p= 0.005) and between adequate sleep duration and hypertriglyceridemia (p=0.045). A moderate, inverse and statistically significant relationship was also observed between sleep duration and quality (p= 0.000). Furthermore, a 63% lower chance of alcoholics having MS was observed, compared to non-drinkers. Age was considered a risk factor for MS and white skin color/race was a protective factor. The majority of participants reported adequate sleep duration (62.05%), which can be explained by the sociodemographic characteristics of the studied population. CONCLUSION: In this study, no association was found between sleep quality and duration with MS, which can be explained by the heterogeneity of the types of study, the populations studied, the MS classification criteria and the collection of sleep data. The results obtained reinforce the relevance of alcoholism as a modifying factor in this relationship. Additional studies are needed to investigate the role of sleep in MS, and above all, the dose-response effect of alcohol consumption on sleep.pt_BR
dc.languageporpt_BR
dc.publisherUNIVERSIDADE FEDERAL DA BAHIApt_BR
dc.subjectSonopt_BR
dc.subjectQualidade do sonopt_BR
dc.subjectDuração do sonopt_BR
dc.subjectSíndrome metabólicapt_BR
dc.subject.otherSleeppt_BR
dc.subject.otherSleep qualitypt_BR
dc.subject.otherSleep durationpt_BR
dc.subject.otherMetabolic Syndromept_BR
dc.titleQualidade e duração do sono e a síndrome metabólica: um estudo de associaçãopt_BR
dc.title.alternativeSleep quality and duration and metabolic syndrome: an association studypt_BR
dc.typeDissertaçãopt_BR
dc.publisher.programPrograma de Pós-Graduação em Processos Interativos dos Órgãos e Sistemas (PPGORGSISTEM) pt_BR
dc.publisher.initialsUFBApt_BR
dc.publisher.countryBrasilpt_BR
dc.subject.cnpqCNPQ::CIENCIAS DA SAUDEpt_BR
dc.subject.cnpqCNPQ::CIENCIAS DA SAUDE::NUTRICAOpt_BR
dc.contributor.advisor1Araújo, Edilene Maria Queiroz-
dc.contributor.advisor1IDhttps://orcid.org/0000-0003-0481-037Xpt_BR
dc.contributor.advisor1Latteshttp://lattes.cnpq.br/7394280781506129pt_BR
dc.contributor.advisor-co1Santos, Luama Araújo dos-
dc.contributor.advisor-co1IDhttps://orcid.org/0000-0003-1294-5725pt_BR
dc.contributor.advisor-co1Latteshttp://lattes.cnpq.br/9350244242655214pt_BR
dc.contributor.referee1Araújo, Edilene Maria Queiroz-
dc.contributor.referee1IDhttps://orcid.org/0000-0003-0481-037Xpt_BR
dc.contributor.referee1Latteshttp://lattes.cnpq.br/7394280781506129pt_BR
dc.contributor.referee2Vázquez, Mírian Rocha-
dc.contributor.referee2IDhttps://orcid.org/0000-0002-1415-1243pt_BR
dc.contributor.referee2Latteshttp://lattes.cnpq.br/0802126145296730pt_BR
dc.contributor.referee3Carvalho, Fernando Luís de Queiroz-
dc.contributor.referee3IDhttps://orcid.org/0000-0003-1997-2881pt_BR
dc.contributor.referee3Latteshttp://lattes.cnpq.br/6679400555126839pt_BR
dc.creator.Latteshttp://lattes.cnpq.br/6769309123195074pt_BR
dc.description.resumoINTRODUÇÃO: A Síndrome Metabólica é uma desordem complexa, caracterizada por fatores de risco cardiovascular, relacionados ao comprometimento simultâneo de funções metabólicas, vasculares e obesidade central. Contudo, outros mecanismos parecem estar relacionados a essa síndrome, como os distúrbios de sono, que parecem interromper processos homeostáticos essenciais. Assim, este estudo tem por objetivo investigar a associação entre a qualidade do sono e a Síndrome Metabólica e seus fatores associados. MÉTODOS: Trata-se de um estudo do tipo transversal, com 166 indivíduos adultos e idosos, de ambos os sexos, atendidos no Núcleo de Pesquisa e Extensão em Genômica Nutricional e Disfunções Metabólicas, da Universidade do Estado da Bahia. O diagnóstico foi definido de acordo com critérios propostos pela Federação Internacional de Diabetes, e a avaliação quali-quantitativa do sono, a partir da aplicação do Índice de Qualidade do Sono de Pitsburgh. A duração do sono foi categorizada em curta, <6 horas por noite; adequada,6-8 horas por noite e longa, >8 horas por noite, sendo os dados analisados pelo software Stata (versão 12.0). Utilizaram-se o teste Qui-Quadrado ou o Exato de Fisher, para identificar associações entre as variáveis nominais, e o teste t de Student, Mann-Whitney ou Kruskal-Wallis, para as variáveis quantitativas. Visando avaliar o coeficiente de correlação entre variáveis não paramétricas, aplicou-se o coeficiente de Spearman. O nível de significância estabelecido foi de 5%. RESULTADOS: Investigaram-se dados de 166 indivíduos, sendo 116 com a síndrome e 50 sem ela. Não foi encontrada associação entre qualidade (p=0,357) e duração (p=0,159) do sono e a Síndrome Metabólica. Entretanto, em indivíduos etilistas, houve associação entre má qualidade do sono e baixo HDL-c (p= 0,005) e entre duração adequada de sono e hipertrigliceridemia (p=0,045). Também observou-se relação moderada, inversa e estatisticamente significativa entre duração e qualidade do sono (p= 0,000). Ademais, concluiu-se por uma chance 63% menor de etilistas apresentarem Síndrome Metabólica, em comparação a não consumistas. A idade foi considerada fator de risco para a referida síndrome e a cor/raça de pele branca, fator protetor. A maioria dos participantes relatou duração adequada de sono (62,05%), o que pode ser explicado pelas características sociodemográficas da população estudada. CONCLUSÃO: Neste estudo, não foi encontrada associação entre qualidade e duração do sono com a Síndrome Metabólica, o que pode ser explicado pela heterogeneidade dos tipos de estudo, das populações estudadas, dos critérios de classificação da síndrome e da obtenção dos dados de sono. Os resultados obtidos reforçam a relevância do etilismo como fator modificador dessa relação. Estudos adicionais são necessários para investigar o papel do sono na referida comorbidade e, sobretudo, o efeito dose-resposta do consumo alcoólico no sono.pt_BR
dc.publisher.departmentInstituto de Ciências da Saúde - ICSpt_BR
dc.relation.references1. Lu K, Zhao Y, Chen J, Hu D, Xiao H. Interactive association of sleep duration and sleep quality with the prevalence of metabolic syndrome in adult Chinese males. Exp Ther Med. Feb. 2020;19(2):841–8. 2. Barros MB de A, Lima MG, Ceolim MF, Zancanella E, Cardoso TAM de O. Quality of sleep, health and well-being in a population-based study. Rev Saúde Pública. Sep. 30 2019 Disponível em: http://www.scielo.br/j/rsp/a/tsYyRNmY7Lj9tLLDnCLMg3b/abstract/?lang=en 3. Chaput JP, Després JP, Bouchard C, Tremblay A. The association between sleep duration and weight gain in adults: A 6-year prospective study from the Quebec Family Study. Sleep. Apr. 1 2008;31(4):517–23. 4. Gallicchio L, Kalesan B. Sleep duration and mortality: a systematic review and metaanalysis. J Sleep Res.Jun. 2009;18(2):148–58. 5. Zhou Q, Zhang M, Hu D. Dose-response association between sleep duration and obesity risk: a systematic review and meta-analysis of prospective cohort studies. Sleep and Breathing. Dec. 1 2019;23. 6. Ford ES, Li C, Wheaton AG, Chapman DP, Perry GS, Croft JB. Sleep duration and body mass index and waist circumference among U.S. adults. Obesity (Silver Spring). Feb. 2014;22(2):598–607. 7. Vgontzas AN, Fernandez-Mendoza J, Miksiewicz T, Kritikou I, Shaffer ML, Liao D et al. Unveiling the longitudinal association between short sleep duration and the incidence of obesity: the Penn State Cohort. Int J Obes (London). Jun. 2014;38(6):825–32. 8. Wang D, Li W, Cui X, Meng Y, Zhou M, Xiao L, et al. Sleep duration and risk of coronary heart disease: A systematic review and meta-analysis of prospective cohort studies. Int J Cardiol. Sep. 15 2016;219:231–9. 9. Lao XQ, Liu X, Deng HB, Chan TC, Ho KF, Wang F, et al. Sleep Quality, Sleep Duration, and the Risk of Coronary Heart Disease: A Prospective Cohort Study With 60,586 Adults. J Clin Sleep Med. Jan. 15 2018;14(1):109–17. 10. Cappuccio FP, D’Elia L, Strazzullo P, Miller MA. Quantity and quality of sleep and incidence of type 2 diabetes: a systematic review and meta-analysis. Diabetes Care. Feb. 2010;33(2):414–20. 11. Buxton OM, Marcelli E. Short and long sleep are positively associated with obesity, diabetes, hypertension, and cardiovascular disease among adults in the United States. Social Science & Medicine. Sep. 1 2010;71(5):1027–36. 12. Leng Y, Cappuccio FP, Wainwright NWJ, Surtees PG, Luben R, Brayne C, et al. Sleep duration and risk of fatal and nonfatal stroke. Neurology. Mar. 17 2015;84(11):1072–9. 54 13. Wang Y, Mei H, Jiang YR, Sun WQ, Song YJ, Liu SJ, et al. Relationship between Duration of Sleep and Hypertension in Adults: A Meta-Analysis. J Clin Sleep Med. Sep. 15 2015;11(9):1047–56. 14. Calvin AD, Covassin N, Kremers WK, Adachi T, Macedo P, Albuquerque FN, et al. Experimental sleep restriction causes endothelial dysfunction in healthy humans. J Am Heart Assoc. Nov. 25 2014;3(6):e001143. 15. Shen X, Wu Y, Zhang D. Nighttime sleep duration, 24-hour sleep duration and risk of all-cause mortality among adults: a meta-analysis of prospective cohort studies. Sci Rep. Feb. 22 2016;6:21480. 16. Liu TZ, Xu C, Rota M, Cai H, Zhang C, Shi MJ, et al. Sleep duration and risk of allcause mortality: A flexible, non-linear, meta-regression of 40 prospective cohort studies. Sleep Med Rev. Apr. 2017;32:28–36. 17. Montaruli A, Castelli L, Mulè A, Scurati R, Esposito F, Galasso L, et al. Biological Rhythm and Chronotype: New Perspectives in Health. Biomolecules. 2021;11(4):487. 18. Taheri S. Sleep and metabolism: Bringing pieces of the jigsaw together. Sleep Medicine Reviews. 2007;11(3):159–62. 19. Alóe F, Azevedo AP de, Hasan R. Mecanismos do ciclo sono-vigília. Braz J Psychiatry. 2005;27:33–9. 20. Padilha HG, Crispim CA, Zimberg IZ, De-Souza DA, Waterhouse J, Tufik S, et al. A link between sleep loss, glucose metabolism and adipokines. Braz J Med Biol Res. 2011;44:992–9. 21. Gajardo YZ, Ramos JN, Muraro AP, Moreira NF, Ferreira MG, Rodrigues PRM. Problemas com o sono e fatores associados na população brasileira: Pesquisa Nacional de Saúde, 2013. Ciênc Saúde Coletiva. 2021;26:601–10. 22. Maury E. Off the Clock: From Circadian Disruption to Metabolic Disease. Int J Mol Sci. 2019;20(7):1597. 23. Bae SA, Fang MZ, Rustgi V, Zarbl H, Androulakis IP. At the Interface of Lifestyle, Behavior, and Circadian Rhythms: Metabolic Implications. Front Nutr. 2019;6:132. 24. Jankowski KS. Social jet lag: Sleep-corrected formula. Chronobiol Int. 2017;34(4):5315. 25. Chamorro RA, Durán SA, Reyes SC, Ponce R, Algarín CR, Peirano PD. La reducción del sueño como factor de riesgo para obesidad. Revista médica de Chile. 2011;139(7):932–40. 26. Chattu VK, Sakhamuri SM, Kumar R, Spence DW, BaHammam AS, Pandi-Perumal SR. Insufficient Sleep Syndrome: Is it time to classify it as a major noncommunicable disease? Sleep Sci. 2018;11(2):56–64. 27. CDC - Dados e Estatísticas - Sono e Distúrbios do Sono [Internet]. 2021. Disponível em: https://www.cdc.gov/sleep/data_statistics.html 55 28. Liu Y. Prevalence of Healthy Sleep Duration among Adults — United States, 2014. MMWR Morb Mortal Wkly Rep. 2022;65. Disponível em: https://www.cdc.gov/mmwr/volumes/65/wr/mm6506a1.htm 29. Muñoz-Pareja M, Loch MR, dos Santos HG, Sakay Bortoletto MS, Durán González A, Maffei de Andrade S. Factores asociados a mala calidad de sueño en población brasilera a partir de los 40 años de edad: estudio VIGICARDIO. Gac Sanit. 2016;30(6):444–50. 30. Santos-Silva R, Bittencourt LRA, Pires MLN, de Mello MT, Taddei JA, Benedito-Silva AA, et al. Increasing trends of sleep complaints in the city of Sao Paulo, Brazil. Sleep Med. 2010;11(6):520–4. 31. Zanuto EAC, Lima MCS de, Araújo RG de, Silva EP da, Anzolin CC, Araujo MYC, et al. Distúrbios do sono em adultos de uma cidade do Estado de São Paulo. Rev bras epidemiol. 2015;18:42–53. 32. Brasil. Ministério da Saúde. Secretaria de Vigilância em Saúde. Departamento de Análise em Saúde e Vigilância de Doenças Não Transmissíveis. Plano de ações estratégicas para o enfrentamento das doenças crônicas e agravos não transmissíveis no Brasil 2021-2030. Brasília, DF: 2021. 33. Brasil. Ministério da Saúde. Secretaria de Vigilância em Saúde. Departamento de Análise em Saúde e Vigilância de Doenças Não Transmissíveis. VIGITEL BRASIL 2006-2021: Vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico: estimativas sobre frequência e distribuição sociodemográfica de morbidade referida e autoavaliação de saúde nas capitais dos 26 estados brasileiros e no distrito federal entre 2006 e 2021. Brasília, DF: 2022. 34. Brasil. Ministério da Saúde. Secretaria de Atenção Primária à Saúde. Departamento de Promoção da Saúde. Manual de atenção às pessoas com sobrepeso e obesidade no âmbito da atenção primária à saúde do Sistema Único de Saúde. Brasília, DF: 2021. 35. Chellappa SL, Vujovic N, Williams JS, Scheer FAJL. Impact of circadian disruption on cardiovascular function and disease. Trends Endocrinol Metab. outubro de 2019;30(10):767–79. 36. Velásquez-Meléndez G, Andrade FCD, Moreira AD, Hernandez R, Vieira MAS, Felisbino-Mendes MS. Association of self-reported sleep disturbances with ideal cardiovascular health in Brazilian adults: A cross-sectional population-based study. Sleep Health. 2021;7(2):183–90. 37. Gomes M da M, Quinhones MS, Engelhardt E. Neurofisiologia do sono e aspectos farmacoterapêuticos dos seus transtornos: [revisão]. Rev Bras Neurol. 2010:46(1). Disponível em: http://bases.bireme.br/cgibin/wxislind.exe/iah/online/?IsisScript=iah/iah.xis&src=google&base=LILACS&lang =p&nextAction=lnk&exprSearch=553533&indexSearch=ID 38. Falup-Pecurariu C, Diaconu Ștefania, Țînț D, Falup-Pecurariu O. Neurobiology of sleep (Review). Exp Ther Med. 2021;21(3):272. 39. Scammell TE. Overview of sleep: the neurologic processes of the sleep-wake cycle. J Clin Psychiatry. 2015;76(5):e13. 56 40. Buysse DJ. Sleep Health: Can We Define It? Does It Matter? Sleep. 2014;37(1):9–17. 41. Andrea Bacelar, Márcia Assis, Silvia Conway, Cláudia Moreno. Associação Brasileira do Sono; 2021. Disponível em: chromeextension://oemmndcbldboiebfnladdacbdfmadadm/https://semanadosono.com.br/wpcontent/uploads/2021/02/sono-normal-semana-sono-2021.pdf 42. Brown RE, Basheer R, McKenna JT, Strecker RE, McCarley RW. Control of sleep and wakefulness. Physiol Rev. 2012;92(3):1087–187. 43. Donga E, van Dijk M, van Dijk JG, Biermasz NR, Lammers GJ, van Kralingen KW, et al. A single night of partial sleep deprivation induces insulin resistance in multiple metabolic pathways in healthy subjects. J Clin Endocrinol Metab. 2010;95(6):2963–8. 44. AlDabal L, BaHammam AS. Metabolic, Endocrine, and Immune Consequences of Sleep Deprivation. Open Respir Med J. 2011;5:31–43. 45. Mckenna J, Zielinski M, McCarley R. Neurobiology of REM Sleep, NREM Sleep homeostasis, and gamma band oscillations. In: Sleep disorders medicine: Basic science, technical considerations and clinical aspects. 4th ed. New York: pringer, 2017. p. 55–77. 46. Zisapel N. New perspectives on the role of melatonin in human sleep, circadian rhythms and their regulation. Br J Pharmacol. 2018;175(16):3190–9. 47. Cipolla-Neto J, Amaral FG, Afeche SC, Tan DX, Reiter RJ. Melatonin, energy metabolism, and obesity: a review. J Pineal Res. 2014;56(4):371–81. 48. Kotronoulas G, Stamatakis A, Stylianopoulou F. Hormones, hormonal agents, and neuropeptides involved in the neuroendocrine regulation of sleep in humans. Hormones (Athens). 2009;8(4):232–48. 49. Watson NF, Badr MS, Belenky G, Bliwise DL, Buxton OM, Buysse D, et al. Recommended amount of sleep for a healthy adult: A joint consensus statement of the American Academy of Sleep Medicine and Sleep Research Society. Sleep. 2015;38(6):843–4. 50. Léger D, Beck F, Richard JB, Sauvet F, Faraut B. The risks of sleeping “too much”. Survey of a National Representative Sample of 24671 Adults (INPES Health Barometer). PLoS One. 2014;9(9):e106950. 51. Silva-Costa A, Rotenberg L, Nobre AA, Chor D, Aquino EM, Melo EC, et al. Sex differences in the association between self-reported sleep duration, insomnia symptoms and cardiometabolic risk factors: cross-sectional findings from Brazilian longitudinal study of adult health. Arch Public Health. 2020;78:48. 52. Buysse DJ, Reynolds CF, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989;28(2):193–213. 53. Li Y, Buys N, Li L, Sun J. Sleep Quality and Its Determinants Among Type 2 Diabetes Patients with Comorbid Metabolic Syndrome. Diabetes Metab Syndr Obes. 57 2022;15:3469–82. 54. Smith MT, McCrae CS, Cheung J, Martin JL, Harrod CG, Heald JL, et al. Use of Actigraphy for the Evaluation of Sleep Disorders and Circadian Rhythm Sleep-Wake Disorders: An American Academy of Sleep Medicine Clinical Practice Guideline. Journal of Clinical Sleep Medicine. 2018;14(07):1231–7. 55. Kruisbrink M, Robertson W, Ji C, Miller MA, Geleijnse JM, Cappuccio FP. Association of sleep duration and quality with blood lipids: a systematic review and meta-analysis of prospective studies. BMJ Open. 2017;7(12):e018585. 56. Bertolazi AN, Fagondes SC, Hoff LS, Dartora EG, Da Silva Miozzo IC, De Barba MEF, et al. Validation of the Brazilian Portuguese version of the Pittsburgh Sleep Quality Index. Sleep Medicine. 2011;12(1):70–5. 57. Koren D, Taveras EM. Association of sleep disturbances with obesity, insulin resistance and the metabolic syndrome. Metabolism. 2018;84:67–75. 58. Crispim C, Zimberg I, Dattilo M, Padilha H, Tufik S, De Mello M. Relação entre sono e obesidade: uma revisão da literatura. Arquivos Brasileiros De Endocrinologia E Metabologia - Arq Bras Endocrinol Metabol. 2007;51. 59. Markwald RR, Melanson EL, Smith MR, Higgins J, Perreault L, Eckel RH, et al. Impact of insufficient sleep on total daily energy expenditure, food intake, and weight gain. Proc Natl Acad Sci U S A. 2013;110(14):5695–700. 60. Koren D, Dumin M, Gozal D. Role of sleep quality in the metabolic syndrome. Diabetes Metab Syndr Obes. 2016;9:281–310. 61. Spaeth AM, Dinges DF, Goel N. Sex and race differences in caloric intake during sleep restriction in healthy adults1234. Am J Clin Nutr. 2014;100(2):559–66. 62. Spiegel K, Leproult R, L’Hermite-Balériaux M, Copinschi G, Penev PD, Van Cauter E. Leptin Levels Are Dependent on Sleep Duration: Relationships with Sympathovagal Balance, Carbohydrate Regulation, Cortisol, and Thyrotropin. The Journal of Clinical Endocrinology & Metabolism. 2004;89(11):5762–71. 63. Mota GR da, Zanesco A. Leptina, ghrelina e exercício físico. Arq Bras Endocrinol Metab. 2007;51:25–33. 64. Pejovic S, Vgontzas AN, Basta M, Tsaoussoglou M, Zoumakis E, Vgontzas A, et al. Leptin and Hunger Levels in Young Healthy Adults After One Night of Sleep Loss. J Sleep Res. 2010;19(4):552–8. 65. Omisade A, Buxton OM, Rusak B. Impact of acute sleep restriction on cortisol and leptin levels in young women. Physiol Behav. 2010;99(5):651–6. 66. Nedeltcheva AV, Kilkus JM, Imperial J, Kasza K, Schoeller DA, Penev PD. Sleep curtailment is accompanied by increased intake of calories from snacks. Am J Clin Nutr. 2009;89(1):126–33. 67. Morselli L, Leproult R, Balbo M, Spiegel K. Role of sleep duration in the regulation of 58 glucose metabolism and appetite. Best Pract Res Clin Endocrinol Metab. 2010;24(5):687–702. 68. Stamatakis KA, Punjabi NM. Effects of Sleep Fragmentation on Glucose Metabolism in Normal Subjects. Chest. 2010;137(1):95–101. 69. St-Onge MP, O’Keeffe M, Roberts AL, RoyChoudhury A, Laferrère B. Short sleep duration, glucose dysregulation and hormonal regulation of appetite in men and women. Sleep. 2012;35(11):1503–10. 70. Holmes AL, Burgess HJ, Dawson D. Effects of sleep pressure on endogenous cardiac autonomic activity and body temperature. J Appl Physiol (1985). 2002;92(6):2578–84. 71. Sunbul M, Kanar BG, Durmus E, Kivrak T, Sari I. Acute sleep deprivation is associated with increased arterial stiffness in healthy young adults. Sleep Breath. 2014;18(1):21520. 72. Kim CE, Shin S, Lee HW, Lim J, Lee J koo, Shin A, et al. Association between sleep duration and metabolic syndrome: a cross-sectional study. BMC Public Health. 2018;18:720. 73. Faul F, Erdfelder E, Lang AG, Buchner A. G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods. 2007;39(2):175–91. 74. Brasil. Ministério da Saúde. Portaria GM/MS no 913, de 22 de abril de 2022. Disponível em: https://legislacao.presidencia.gov.br/atos/?tipo=PRT&numero=913&ano=2022&data= 22/04/2022&ato=340kXTq1kMZpWT0cf75. 75. Costa Eliana Auxiliadora M. Protocolo sanitário para assistência a pacientes durante pandemia da COVID-19. Departamento de Ciências da Vida. Colegiado de Enfermagem. Universidade do Estado da Bahia.; Salvador: 2021. 76. IBGE. Coordenação de População de Indicadores Sociais. Características étnico-raciais da população : um estudo das categorias de classificação de cor ou raça. Brasília, DF: 2008 Disponível em: https://biblioteca.ibge.gov.br/index.php/bibliotecacatalogo?id=249891&view=detalhes 77. Brasil. Ministério da Saúde. Secretaria de Atenção Primária à Saúde. Departamento de Promoção da Saúde. Guia de atividade física para a população brasileira. Brasília, DF: 2021. 78. Alberti KGMM, Zimmet P, Shaw J. Metabolic syndrome—a new world-wide definition. A Consensus Statement from the International Diabetes Federation. Diabetic Medicine. 2006;23(5):469–80. 79. Che T, Yan C, Tian D, Zhang X, Liu X, Wu Z. The Association Between Sleep and Metabolic Syndrome: A Systematic Review and Meta-Analysis. Front Endocrinol (Lausanne). 2021;12:773646. 80. SciELO - Brasil - I Diretriz Brasileira de Diagnóstico e Tratamento da Síndrome 59 Metabólica; I Diretriz Brasileira de Diagnóstico e Tratamento da Síndrome Metabólica. Disponível em: https://www.scielo.br/j/abc/a/qWzJH647dkF7H5dML8x8Nym/?lang=pt 81. Fagundes A, Nilson EA, Coutinho JG, Duar HA, Oliveira KS, Aquino K et al. Orientações para a coleta e análise de dados antropométricos em serviços de saúde: norma técnica do Sistema de Vigilância Alimentar e Nutricional - SISVAN Porto Livre Disponível em: https://portolivre.fiocruz.br/orienta%C3%A7%C3%B5es-para-coletae-an%C3%A1lise-de-dados-antropom%C3%A9tricos-em-servi%C3%A7os-desa%C3%BAde-norma-t%C3%A9cnica-do 82. Salud (HPP) OP de la SD de P y P de la. Encuesta multicentrica salud bienestar y envejecimiento (SABE) en América Latina: informe preliminar. Em: Encuesta multicentrica salud bienestar y envejecimiento (SABE) en América Latina: informe preliminar. 2001. 19 p. Disponível em: http://www1.paho.org/Spanish/HDP/HDR/CAIS-01-05.PDF 83. Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostasis model assessment: insulin resistance and β-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia. 1985;28(7):412–9. 84. Oliveira EP de, Lima M das DA de, Souza MLA de. Síndrome Metabólica, seus fenótipos e resistência à insulina pelo HOMA-RI. Arq Bras Endocrinol Metab. 2007;51:1506–15. 85. Diretrizes da Sociedade Brasileira de Diabetes. 2019–2020; 8(2):491. 86. Diniz M de FHS, Beleigoli AMR, Schmidt MI, Duncan BB, Ribeiro ALP, Vidigal PG, et al. Homeostasis model assessment of insulin resistance (HOMA-IR) and metabolic syndrome at baseline of a multicentric Brazilian cohort: ELSA-Brasil study. Modelo de avaliação da homeostase de resistência à insulina (HOMA-IR) e síndrome metabólica na linha de base de uma coorte brasileira multicêntrica: estudo ELSA-Brasil. 2020 Disponível em: https://observatorio.fm.usp.br/handle/OPI/38266 87. Liu X, Huang L, Wu Q, Chen Y, Chen X, Chen H, et al. Sleep characteristic profiles and the correlation with spectrum of metabolic syndrome among older adult: a crosssectional study. BMC Geriatr. 2022;22:414. 88. Bowman MA, Duggan KA, Brindle RC, Kline CE, Krafty RT, Thayer JF, et al. Prospective associations among objectively and subjectively assessed sleep and the metabolic syndrome. Sleep Med. 2019;58:1–6. 89. Okubo N, Matsuzaka M, Takahashi I, Sawada K, Sato S, Akimoto N, et al. Relationship between self-reported sleep quality and metabolic syndrome in general population. BMC Public Health. 2014;14:562. 90. Hu J, Zhu X, Yuan D, Ji D, Guo H, Li Y, et al. Association of sleep duration and sleep quality with the risk of metabolic syndrome in adults: a systematic review and metaanalysis. Endokrynologia Polska. 2022;73(6):968–87. 91. Jahrami HA, Alhaj OA, Humood AM, Alenezi AF, Fekih-Romdhane F, AlRasheed MM, et al. Sleep disturbances during the COVID-19 pandemic: A systematic review, 60 meta-analysis, and meta-regression. Sleep Med Rev. 2022;62:101591. 92. Ferreira CRT, Leitão FNC, Deus MBB de, Bezerra IMP, Deus RRB de, Morais MJ de D. A qualidade do sono durante o distanciamento domiciliar na pandemia do COVID19 na Amazônia ocidental. Journal of Human Growth and Development. 2021;31(3):458–64. 93. Papagiouvanni I, Kotoulas S, Vettas C, Sourla E, Pataka A. Sleep During the COVID19 Pandemic. Curr Psychiatry Rep. 2022;24(11):635–43. 94. Neiva NBO, Santos LA dos, Araújo EMQ. Duração do sono, ingestão de energia e macronutrientes em indivíduos com síndrome metabólica. Revista de Ciências Médicas e Biológicas. 2021;20(3):441–6. 95. Junior ARC, Brandão NA, Santos LA, Lima CRC de, Lima MLN, Santos MAF, et al. Ingestão alimentar e níveis séricos de vitamina D em pessoas com síndrome metabólica. Research, Society and Development. 2021;10(14):e378101421965–e378101421965. 96. Pipolo GM, Silva J das V, Brandão NA, Santos LA dos, Lima CRC de, França SLG, et al. Estudo de associação entre compulsão alimentar periódica e síndrome metabólica / Association study between binge eating and metabolic syndrome. Brazilian Journal of Development. 2021;7(11):107124–40. 97. Linton SJ, Kecklund G, Franklin KA, Leissner LC, Sivertsen B, Lindberg E, et al. The effect of the work environment on future sleep disturbances: a systematic review. Sleep Medicine Reviews. 2015;23:10–9. 98. Jackson CL. Determinants of Racial/Ethnic Disparities in Disordered Sleep and Obesity. Sleep Health. 2017;3(5):401–15. 99. Chen X, Wang R, Zee P, Lutsey PL, Javaheri S, Alcántara C, et al. Racial/Ethnic Differences in Sleep Disturbances: The Multi-Ethnic Study of Atherosclerosis (MESA). Sleep. 2015;38(6):877–88. 100. Letícia Parada Moreira, Guilherme da Silva Ferreira, Leslie Virmondes, Alexandre Galvão da Silva, Débora Dias Ferraretto Moura Rocco. Comparação da qualidade do sono entre homens e mulheres ativos fisicamente. Revista eletrônica saúde e ciência. 2013;3:38–49. 101. Smiley A, King D, Bidulescu A. The Association between Sleep Duration and Metabolic Syndrome: The NHANES 2013/2014. Nutrients. 2019;11(11):2582. 102. Lima MG, Bergamo Francisco PMS, de Azevedo Barros MB. Sleep duration pattern and chronic diseases in Brazilian adults (ISACAMP, 2008/09). Sleep Medicine. 2012;13(2):139–44. 103. Castro MA de, Garcez MR, Pereira JL, Fisberg RM. Eating behaviours and dietary intake associations with self-reported sleep duration of free-living Brazilian adults. Appetite. 2019;137:207–17. 104. Santos RB, Giatti S, Aielo AN, Silva WA, Parise BK, Cunha LF, et al. Self-reported versus actigraphy-assessed sleep duration in the ELSA-Brasil study: analysis of the 61 short/long sleep duration reclassification. Sleep Breath. 2021. Disponível em: https://doi.org/10.1007/s11325-021-02489-8 105. Mander BA, Winer JR, Walker MP. Sleep and Human Aging. Neuron. 2017;94(1):1936. 106. Vancampfort D, Hallgren M, Mugisha J, De Hert M, Probst M, Monsieur D, et al. The Prevalence of Metabolic Syndrome in Alcohol Use Disorders: A Systematic Review and Meta-analysis. Alcohol and Alcoholism. 2016;51(5):515–21. 107. Thakkar MM, Sharma R, Sahota P. Alcohol disrupts sleep homeostasis. Alcohol. 2015;49(4):299–310. 108. Huang S, Li J, Shearer GC, Lichtenstein AH, Zheng X, Wu Y, et al. Longitudinal study of alcohol consumption and HDL concentrations: a community-based study12. Am J Clin Nutr. 2017;105(4):905–12. 109. Kim SK, Hong SH, Chung JH, Cho KB. Association Between Alcohol Consumption and Metabolic Syndrome in a Community-Based Cohort of Korean Adults. Med Sci Monit. 2017;23:2104–10. 110. Brien SE, Ronksley PE, Turner BJ, Mukamal KJ, Ghali WA. Effect of alcohol consumption on biological markers associated with risk of coronary heart disease: systematic review and meta-analysis of interventional studies. BMJ. 2011;342:d636. 111. Lin Y, Ying YY, Li SX, Wang SJ, Gong QH, Li H. Association between alcohol consumption and metabolic syndrome among Chinese adults. Public Health Nutr. 24(14):4582–90. 112. Garcia LP, Sanchez ZM. Consumo de álcool durante a pandemia da COVID-19: uma reflexão necessária para o enfrentamento da situação. Cad Saúde Pública. 2020;36:e00124520. 113. Petrov MER, Kim Y, Lauderdale D, Lewis CE, Reis JP, Carnethon MR, et al. Longitudinal Associations between Objective Sleep and Lipids: The CARDIA Study. Sleep. 2013;36(11):1587–95. 114. Klop B, Rego AT do, Cabezas MC. Alcohol and plasma triglycerides. Current Opinion in Lipidology. 2013;24(4):321. 115. Sun K, Ren M, Liu D, Wang C, Yang C, Yan L. Alcohol consumption and risk of metabolic syndrome: a meta-analysis of prospective studies. Clin Nutr. 2014;33(4):596602. 116. Vieira BA, Luft VC, Schmidt MI, Chambless LE, Chor D, Barreto SM, et al. Timing and Type of Alcohol Consumption and the Metabolic Syndrome - ELSA-Brasil. PLoS One. 2016;11(9):e0163044. 117. Hampton SM, Isherwood C, Kirkpatrick VJE, Lynne-Smith AC, Griffin BA. The influence of alcohol consumed with a meal on endothelial function in healthy individuals. Journal of Human Nutrition and Dietetics. 2010;23(2):120–5. 62 118. Falkner B, Cossrow NDFH. Prevalence of Metabolic Syndrome and Obesity-Associated Hypertension in the Racial Ethnic Minorities of the United States. Curr Hypertens Rep. 2014;16(7):449. 119. Barros MB de A, César CLG, Carandina L, Torre GD. Desigualdades sociais na prevalência de doenças crônicas no Brasil, PNAD-2003. Ciênc Saúde Coletiva. 2006;11:911–26. 120. Deere BP, Ferdinand KC. Hypertension and race/ethnicity. Curr Opin Cardiol. j020;35(4):342–50. 121. Abrahamowicz AA, Ebinger J, Whelton SP, Commodore-Mensah Y, Yang E. Racial and Ethnic Disparities in Hypertension: Barriers and Opportunities to Improve Blood Pressure Control. Curr Cardiol Rep. 2023;25(1):17–27. 122. Lotufo PA, Bensenor IJM. Raça e mortalidade cerebrovascular no Brasil. Rev Saúde Pública. 2013;47:1201–4. 123. Dominguez LJ, Barbagallo M. The biology of the metabolic syndrome and aging. Curr Opin Clin Nutr Metab Care. 2016;19(1):5–11.pt_BR
dc.type.degreeMestrado Acadêmicopt_BR
Appears in Collections:Dissertação (PPGPIOS)

Files in This Item:
File Description SizeFormat 
NAIARA_BRUNIELLE_DISSERTAÇÃO_MESTRADO.pdfDissertação de mestrado de Naiara Brunelle Oliveira Neiva878,22 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.