Objective To evaluate the independent and combined associations of maternal self-reported poor sleep quality and antepartum depression with suicidal ideation during the third trimester Methods A cross-sectional study was conducted among 1,298 pregnant women (between 24 and 28 gestational weeks) attending prenatal clinics in Lima, Peru. Antepartum depression and suicidal ideation were assessed using the Patient Health Questionnaire-9 (PHQ-9). The Pittsburgh Sleep Quality Index (PSQI) questionnaire was used to assess sleep quality. Multivariate logistical regression procedures were used to estimate odds ratios (OR) and 95% confidence intervals (95% CI) after adjusting for putative confounders. Results Approximately, 17% of women were classified as having poor sleep quality (defined using the recommended criteria of PSQI global score of >5 vs. ≤5). Further, the prevalence of antepartum depression and suicidal ideation were 10.3% and 8.5%, respectively in this cohort. After adjusting for confounders including depression, poor sleep quality was associated with a 2.81-fold increased odds of suicidal ideation (OR=2.81; 95% CI 1.78–4.45). When assessed as a continuous variable, each 1-unit increase in the global PSQI score resulted in a 28% increase in odds for suicidal ideation, even after adjusting for depression (OR=1.28; 95% CI 1.15–1.41). The odds of suicidal ideation was particularly high among depressed women with poor sleep quality (OR=13.56 95% CI 7.53–24.41) as compared with women without either risk factor. Limitations This cross-sectional study utilized self-reported data. Causality cannot be inferred, and results may not be fully generalizable. Conclusion Poor sleep quality, even after adjusting for depression, is associated with antepartum suicidal ideation. Our findings support the need to explore sleep-focused interventions for pregnant women.
Objectives To evaluate diagnostic image quality of 3D late gadolinium enhancement (LGE) with high isotropic spatial resolution (~1.4mm3) images reconstructed from randomly under-sampled k-space using LOw-dimensional-structure Self-learning and Thresholding (LOST). Materials and Methods We prospectively enrolled 270 patients (181 men; 55±14 years) referred for myocardial viability assessment. 3D LGE with isotropic spatial resolution of 1.4±0.1 mm3 was acquired at 1.5T using LOST acceleration rate of 3 to 5. In subset of 121 patients, 3D LGE or phase-sensitive LGE were acquired with parallel imaging with acceleration rate of 2 for comparison. Two readers evaluated image quality using a scale of 1 (poor) to 4 (excellent) and assessed for scar presence. McNemar test statistic was used to compare proportion of detected scar between the two sequences. We assessed association between image quality and characteristics (age, gender, torso dimension, weight, heart rate), using generalized linear models. Overall LGE detection proportions for 3D LGE with LOST were similar between readers 1 and 2 (16.30% versus 18.15%). For image quality, readers gave 85.9% and 80.0% respectively for images categorized as good or excellent. Overall proportion of scar presence was not statistically different from conventional 3D LGE (28% vs. 33% (P= 0.17) for reader 1 and 26% vs. 31% (P= 0.37) for reader 2). Increasing subject heart rate was associated with lower image quality (estimated slope of =-0.009 (P= 0.001)). Conclusions High-resolution 3D LGE with LOST yields good to excellent image quality in >80% of patients and identifies patients with LV scar at the same rate as conventional 3D LGE.
New Findings r What is the central question of this study?Continuous-wave near-infrared spectroscopy, coupled with venous and arterial occlusions, offers an economical, non-invasive alternative to measuring skeletal muscle blood flow and oxygen consumption, but its reliability during exercise has not been established. r What is the main finding and its importance?Continuous-wave near-infrared spectroscopy devices can reliably assess local skeletal muscle blood flow and oxygen consumption from the vastus lateralis in healthy, physically active adults. The patterns of response exhibited during exercise of varying intensity agree with other published results using similar methodologies, meriting potential applications in clinical diagnosis and therapeutic assessment.Near-infrared spectroscopy (NIRS), coupled with rapid venous and arterial occlusions, can be used for the non-invasive estimation of resting local skeletal muscle blood flow (mBF) and oxygen consumption (mV O 2 ), respectively. However, the day-to-day reliability of mBF and mV O 2 responses to stressors such as incremental dynamic exercise has not been established. The aim of this study was to determine the reliability of NIRS-derived mBF and mV O 2 responses from incremental dynamic exercise. Measurements of mBF and mV O 2 were collected in the vastus lateralis of 12 healthy, physically active adults [seven men and five women; 25 (SD 6) years old] during three non-consecutive visits within 10 days. After 10 min rest, participants performed 3 min of rhythmic isotonic knee extension (one extension every 4 s) at 5, 10, 15, 20, 25 and 30% of maximal voluntary contraction (MVC), before four venous occlusions and then two arterial occlusions. The mBF and mV O 2 increased proportionally with intensity [from 0.55 to 7.68 ml min −1 (100 ml) −1 and from 0.05 to 1.86 ml O 2 min −1 (100 g) −1 , respectively] up to 25% MVC, where they began to plateau at 30% MVC. Moreover, an mBF/mV O 2 muscle oxygen consumption ratio of ß5 was consistent for all exercise stages. The intraclass correlation coefficient for mBF indicated high to very high reliability for 10-30% MVC (0.82-0.9). There was very high reliability for mV O 2 across all exercise stages (intraclass correlation coefficient 0.91-0.96). In conclusion, NIRS can reliably assess muscle blood flow and oxygen consumption responses to low-to moderate-intensity exercise, meriting potential applications in clinical diagnosis and therapeutic assessment.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.