ORCID Profile
0000-0003-1607-0655
Current Organisation
Hue University
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Publisher: Oxford University Press (OUP)
Date: 02-03-2023
Abstract: To explore potential relationships and longitudinal changes in sleep and mental health in recruit paramedics over the first 6 months of work, and whether sleep disturbances pre-emergency work predict future mental health outcomes. Participants (N = 101, 52% female, Mage = 26 years) completed questionnaires prior to (baseline), and after 6 months of emergency work to assess for symptoms of insomnia, obstructive sleep apnea, post-traumatic stress disorder (PTSD), depression, anxiety, and trauma exposure. At each timepoint, participants also completed a sleep diary and wore an actigraph for 14 days to assess sleep patterns. Correlations between baseline sleep and mental health were conducted and changes in these variables across timepoints were examined using linear mixed models. Hierarchical regressions assessed whether sleep at baseline predicted mental health at follow-up. Insomnia and depression symptoms, and total sleep time increased while sleep onset latency decreased across the first 6 months of emergency work. Participants experienced an average of 1 potentially traumatic event during the 6-month period. Baseline insomnia predicted increased depression symptoms at the 6-month follow-up, while baseline wake after sleep onset predicted follow-up PTSD symptoms. Results highlight an increase in insomnia and depression across the initial months of emergency work, while sleep disturbances before emergency work were identified as potential risk factors for the development of depression and PTSD among paramedics in their early career. Screening and early interventions targeting poor sleep at the beginning of emergency employment may assist in reducing the risk of future mental health outcomes in this high-risk occupation.
Publisher: Elsevier BV
Date: 02-2023
DOI: 10.1016/J.SLEH.2022.09.009
Abstract: Depression and anxiety are prominent in paramedics, as is the prevalence of shift work disorder (SWD), a circadian sleep condition comorbid with mental health disorders. However, the role of mental health risk factors for SWD is largely unknown. This study investigated whether mental health levels in recruit paramedics before shift work predicted greater risk of SWD at 6-months into their career and explored whether shift and sleep factors mediated this relationship. A longitudinal study. Victoria, Australia. Recruit paramedics were assessed at baseline (n = 101 ie, pre-shift work) and after 6-months (n = 93) of shift and emergency work. At both time points, participants completed self-reported measures of depression (Patient Health Questionnaire-9), anxiety (Generalized Anxiety Disorder Questionnaire-7), and SWD (SWD-Screening Questionnaire). Participants also filled a sleep and work diary for 14-days at each timepoint. After 6-months of emergency work 21.5% of paramedics had a high SWD risk. Logistic regression models showed baseline depression predicted 1.24-times greater odds for SWD at 6-months. Through Lavaan path analysis we found shift and sleep variables did not mediate the relationship between baseline mental health and SWD risk. Baseline depression was associated with increased sleepiness levels following paramedics' major sleep periods at 6-months. Pre-existing depression levels also predicted greater perceived nightshift workload. Our results highlight depression symptoms before emergency work are a risk factor for SWD within 6-months of work. Depression represents a modifiable risk factor amenable to early interventions to reduce paramedics' risk of SWD.
Publisher: Wiley
Date: 10-02-2019
DOI: 10.1111/CEN.13934
Abstract: This study explores the role of anti-Mullerian hormone (AMH) and LH/FSH ratio in diagnosis of polycystic ovary syndrome (PCOS). In this multicentre cross-sectional descriptive study, a total of 863 infertile women between 18 and 45 years were evaluated at three infertility centres in Vietnam and were recruited from June 2016 to June 2017. The patients were classified into two groups: Group I included 441 patients with PCOS (based on Rotterdam criteria consensus) and Group II included 422 non-PCOS women. Diagnosis of PCOS was established based on Rotterdam 2003 consensus, and exclusion criteria were ovarian disease (ovary cyst/tumour), history of ovarian surgery and ovarian failure. At an optimum cut-off level of 32.79 pmol/L, AMH showed sensitivity and specificity of 78.50% and 75.83%, respectively, with the AUC 0.852 (95% CI: 0.826-0.875). The LH/FSH ratio had a similar AUC at the optimum cut-off of 1.33 (AUC = 0.867, 95% CI 0.842-0.889), which demonstrated a similar diagnosis value to AMH (P = 0.340). By using multiple logistic regression analysis, 1 ng/mL increase in AMH levels was associated with an increased risk of PCOS (OR = 1.63, 95% CI: 1.506-1.764 P < 0.001). Similarly, one unit increase in LH/FSH ratio was associated with 14.433 times increased (95% CI: 9.302-22.395 P < 0.001) risk of PCOS. There were no significant differences between values of AMH and LH/FSH ratio in PCOS diagnosis, as the difference between the two AUCs was 0.013, 95% CI: -0.024 to 0.028 and P = 0.897. The value of serum AMH concentration has been found not significantly superior to LH/FSH ratio in PCOS diagnosis. Although these biomarkers separately are not adequate for PCOS diagnosis based on their own value, the combination of different endocrine factors including AMH, LH and LH/FSH ratio together with BMI and other anthropometric and clinical characteristics may offer extra value to establish the diagnosis of PCOS.
No related grants have been discovered for Duong Le Dinh.