Poor sleep quality and lipid profile in a rural cohort (The Baependi Heart Study)

Autor(es):Mostrar menos -

Geovanini, Glaucylara Reis ^{[1, 2]} ; Lorenzi-Filho, Geraldo ^[1] ; de Paula, Lilian K. ^[1] ; Oliveira, Camila Maciel ^[2] ; Alvim, Rafael de Oliveira ^[2] ; Beijamini, Felipe ^[3] ; Negrao, Andre Brooking ^{[4, 2]} ; von Schantz, Malcolm ^{[4, 5]} ; Knutson, Kristen L. ^[6] ; Krieger, Jose Eduardo ^[2] ; Pereira, Alexandre Costa ^[2]

Afiliação do(s) autor(es)

^[1] Univ Sao Paulo, Med Sch, Heart Inst InCor, Sleep Lab, Pulm Div, Sao Paulo - Brazil

^[2] Univ Sao Paulo, Med Sch, Heart Inst InCor, Genet & Mol Cardiol Lab, 44 Dr Eneas de Carvalho Aguiar Ave, 10th Floor, Sao Paulo - Brazil

^[3] Fed Univ Fronteira Sul, Realeza, PR - Brazil

^[4] Univ Sao Paulo, Sch Med, Dept Psychiat, Sao Paulo - Brazil

^[5] Univ Surrey, Fac Hlth & Med Sci, Guildford, Surrey - England

^[6] Northwestern Univ, Ctr Circadian & Sleep Med, Feinberg Sch Med, Chicago, IL 60611 - USA

• Tipo de documento: Artigo Científico
• Fonte: Sleep Medicine; v. 57, p. 30-35, MAY 2019.
• Citações Web of Science: 0

Resumo

Aim: To test the association between cardiometabolic risk factors and subjective sleep quality assessed by the Pittsburgh sleep quality index (PSQI), independent of obstructive sleep apnea (OSA) and sleep duration. Methods: A total of 573 participants from the Baependi Heart Study, a rural cohort from Brazil, completed sleep questionnaires and underwent polygraphy for OSA evaluation. Multivariable linear regression analysis tested the association between cardiovascular risk factors (outcome variables) and sleep quality measured by PSQI, adjusting for OSA and other potential confounders (age, sex, race, salary/wage, education, marital status, alcohol intake, obesity, smoking, hypertension, and sleep duration). Results: The sample mean age was 43 +/- 16 years, 66% were female, and mean body mass index (BMI) was 26 +/- 5 kg/m(2). Only 20% were classified as obese (BMI >= 30). Overall, 50% of participants reported poor sleep quality as defined by a PSQI score >= 5. A high PSQI score was significantly associated with higher very-low-density lipoprotein (VLDL) cholesterol levels (beta = 0.392, p = 0.012) and higher triglyceride levels (beta = 0.017, p = 0.006), even after adjustments, including the apneaehypopnea index. Further adjustments accounting for marital status, alcohol intake, and medication use did not change these findings. No significant association was observed between PSQI scores and glucose or blood pressure. According to PSQI components, sleep disturbances (beta = 1.976, p = 0.027), sleep medication use (beta = 1.121, p = 0.019), and daytime dysfunction (beta = 1.290, p = 0.024) were significantly associated with higher VLDL serum levels. Only the daytime dysfunction domain of the PSQI components was significantly associated with higher triglyceride levels (beta = 0.066, p = 0.004). Conclusion: Poorer lipid profile was independently associated with poor sleep quality, assessed by the PSQI questionnaire, regardless of a normal sleep duration and accounting for OSA and socio-economic status. (C) 2019 Elsevier B.V. All rights reserved. (AU)

• Processo FAPESP: 11/05804-5 - Caracterização fenotípica de ritmos circadianos em indivíduos com diferentes genótipos para polimorfismos nos genes relógio em diferentes regiões do Brasil: ênfase na investigação do gene PER3 e o efeito latitude
• Beneficiário: Mario Pedrazzoli Neto
• Modalidade de apoio: Auxílio à Pesquisa - Regular
• Processo FAPESP: 10/51010-8 - Estudos de associacao genomica ampla de fatores de risco associados a doencas cardiovasculares em uma amostra populacional brasileira.
• Beneficiário: Andréa Roseli Vançan Russo Horimoto
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado
• Processo FAPESP: 13/17368-0 - Genômica cardiovascular: mechanismos & novas terapias - CVGen mech2ther
• Beneficiário: José Eduardo Krieger
• Modalidade de apoio: Auxílio à Pesquisa - Temático
• Processo FAPESP: 07/58150-7 - Mapeamento genético de fatores de risco cardiovascular na população brasileira: uma abordagem de mapeamento baseada em núcleos familiares: Projeto Corações de Baependi
• Beneficiário: José Eduardo Krieger
• Modalidade de apoio: Auxílio à Pesquisa - Regular