TY - JOUR
T1 - Poor sleep quality and lipid profile in a rural cohort (The Baependi Heart Study)
AU - Geovanini, Glaucylara Reis
AU - Lorenzi-Filho, Geraldo
AU - de Paula, Lilian K.
AU - Oliveira, Camila Maciel
AU - de Oliveira Alvim, Rafael
AU - Beijamini, Felipe
AU - Negrão, André Brooking
AU - von Schantz, Malcolm
AU - Knutson, Kristen L.
AU - Krieger, José Eduardo
AU - Pereira, Alexandre Costa
N1 - Funding Information:
The authors wish to thank the Municipal Council of Baependi for logistical support and assistance with field work, the dedicated staff at the field station and the participants of the study. This work was supported by the awards from FAPESP to A.C.P. and J.E.K. (grants 2007/58150-7 , 2010/51010-8 , 2011/05804-5 , 2013/17368-0 ), from CNPq to A.C.P., J.E.K., and M.v.S. ( 150653/2008-5 , 481304/2012-6 , and 400791/2015-5 ), a scholarship from CNPq to GRG (project number: 405153/2012-0 ) and PROADI/Hospital Samaritano.
PY - 2019/5/1
Y1 - 2019/5/1
N2 - 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 apnea–hypopnea 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.
AB - 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 apnea–hypopnea 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.
KW - Lipids
KW - Obstructive sleep apnea
KW - Pittsburgh sleep quality index
KW - PSQI
KW - Sleep quality
KW - Very-low density lipoprotein cholesterol
UR - http://www.scopus.com/inward/record.url?scp=85062954380&partnerID=8YFLogxK
U2 - 10.1016/j.sleep.2018.12.028
DO - 10.1016/j.sleep.2018.12.028
M3 - Article
C2 - 30897453
AN - SCOPUS:85062954380
SN - 1389-9457
VL - 57
SP - 30
EP - 35
JO - Sleep Medicine
JF - Sleep Medicine
ER -
