RESUMEN
Objectives@#This study investigated the relationship between sleep quality during pregnancy and preterm birth. @*Methods@#This longitudinal study was conducted between August 2018 and May 2019. The participants were 150 pregnant women who had been referred to 7 healthcare centers in the city of Qazvin, Iran and met the inclusion criteria. The Petersburg Sleep Quality Index, the Epworth Sleepiness Scale, and 2 questions about daytime sleep status and a demographic questionnaire were administered at 14-18 weeks and 28-32 weeks of gestation. Data were analyzed using the Mann-Whitney test, the Fisher exact test, and univariate and multivariable logistic regression. @*Results@#In the present study, poor sleep quality affected 84.7% of the participants at 14-18 weeks and 93.3% at 28-32 weeks of gestation. The final model for preterm birth prediction incorporated age and the Petersburg Sleep Quality Index score in the second and third trimesters. Preterm birth increased by 14% with each unit increase in age. With each unit increase in the Petersburg Sleep Quality Index score in the second and third trimesters, preterm birth increased by 42% and 28%, respectively, but the p-values of these factors were not significant. @*Conclusions@#Although a significant percentage of pregnant women had poor sleep quality, no significant relationship was found between sleep quality during pregnancy and preterm birth.
RESUMEN
Objectives@#This study investigated the relationship between sleep quality during pregnancy and preterm birth. @*Methods@#This longitudinal study was conducted between August 2018 and May 2019. The participants were 150 pregnant women who had been referred to 7 healthcare centers in the city of Qazvin, Iran and met the inclusion criteria. The Petersburg Sleep Quality Index, the Epworth Sleepiness Scale, and 2 questions about daytime sleep status and a demographic questionnaire were administered at 14-18 weeks and 28-32 weeks of gestation. Data were analyzed using the Mann-Whitney test, the Fisher exact test, and univariate and multivariable logistic regression. @*Results@#In the present study, poor sleep quality affected 84.7% of the participants at 14-18 weeks and 93.3% at 28-32 weeks of gestation. The final model for preterm birth prediction incorporated age and the Petersburg Sleep Quality Index score in the second and third trimesters. Preterm birth increased by 14% with each unit increase in age. With each unit increase in the Petersburg Sleep Quality Index score in the second and third trimesters, preterm birth increased by 42% and 28%, respectively, but the p-values of these factors were not significant. @*Conclusions@#Although a significant percentage of pregnant women had poor sleep quality, no significant relationship was found between sleep quality during pregnancy and preterm birth.
RESUMEN
Background: Obesity is a chronic disease and a public health problem that is introduced as an important risk factor for catching obstructive sleep apnea [OSA] in some studies. The present study was done to investigate the relationship between obesity and OSA in depressed elderly patients
Materials and methods: This cross-sectional study was conducted from 2014 to 2015 on 175 depressed elderly patients referred to health centers of Saqqez, using clustering and available sampling in saqqez. Demographic form, Geriatric Depression Scale [GDS] and Berlin Questionnaire were used to gather the data. Data were analyzed by SPSS [version 18] using descriptive statistics, Kolmogorov Smirinov, Mann Whitney- U, Chi-square and Exact Fischer tests. P- value less than 0.05 was considered as statistically significant
Results: 175 elderly depressed patients with mean age [+/- standard deviation] of 69.42+/-8 years were studied. 106 peoples [60.6%] were at high risk for OSA. There was a significant relationship between OSA and obesity [P<0.05]. The odds ratio for obesity in OSA people was 2.2 compared to those without OSA [OR: 2.2; 95%CI: 1.2-4.2; p <0.05]
Conclusion: There is relationship between body mass index and OSA in depressed elderly patients