Snakebite epidemiology, outcomes and multi-cluster risk modelling in Eswatini.

BACKGROUND: Halving snakebite morbidity and mortality by 2030 requires countries to develop both prevention and treatment strategies. The paucity of data on the global incidence and severity of snakebite envenoming causes challenges in prioritizing and mobilising resources for snakebite prevention and treatment. In line with the World Health Organisation's 2019 Snakebite Strategy, this study sought to investigate Eswatini's snakebite epidemiology and outcomes, and identify the socio-geographical factors associated with snakebite risk. METHODOLOGY: Programmatic data from the Ministry of Health, Government of Eswatini 2019-2021, was used to assess the epidemiology and outcomes of snakebite in Eswatini. We developed a snake species richness map from the occurrence data of all venomous snakes of medical importance in Eswatini that was subjected to niche modelling. We formulated four risk indices using snake species richness, various geospatial datasets and reported snakebites. A multivariate cluster modelling approach using these indices was developed to estimate risk of snakebite and the outcomes of snakebite in Eswatini. PRINCIPAL FINDINGS: An average of 466 snakebites was recorded annually in Eswatini. Bites were recorded across the entire country and peaked in the evening during summer months. Two cluster risk maps indicated areas of the country with a high probability of snakebite and a high probability of poor snakebite outcomes. The areas with the highest rate of snakebite risk were primarily in the rural and agricultural regions of the country. SIGNIFICANCE: These models can be used to inform better snakebite prevention and treatment measures to enable Eswatini to meet the global goal of reducing snakebite morbidity and mortality by 50% by 2030. The supply chain challenges of antivenom affecting southern Africa and the high rates of snakebite identified in our study highlight the need for improved snakebite prevention and treatment tools that can be employed by health care workers stationed at rural, community clinics.

Seasonal variations in sleep disorders of nurses.

AIMS AND OBJECTIVES: To investigate the difference between nurses and the general population regarding seasonal variations in sleep disorders during 2004-2008. The effects of season and group interaction on sleep disorders with regard to different comorbidities were also examined. BACKGROUND: Studies on seasonal variations in sleep disorders were mainly conducted in Norway for the general population. Furthermore, whether different comorbidities cause seasonal variations in sleep disorders in nurses remains unknown. DESIGN: A retrospective study. METHODS: Data from the Taiwan National Health Insurance Research Database were used in generalised estimating equation Poisson distribution models to investigate the differences in sleep disorders between nurses and the general population diagnosed with sleep disorders (each n = 7643) as well as the interaction effects of sleep disorders between the groups with respect to different seasons. Furthermore, the interaction effects between groups and seasons on sleep disorders in the subgroups of comorbid anxiety disorders and depressive disorders were studied. RESULTS: Both the nurses and the general population had fewer outpatient visits for sleep disorders in winter than in other seasons. The nurses had fewer outpatient visits for sleep disorders than the general population did in each season. The nurses had more outpatient visits for sleep disorders in winter than in summer compared with the general population in the comorbid depressive disorder subgroup but not in the comorbid anxiety disorder subgroup. CONCLUSIONS: Nurses and the general population exhibited similar seasonal patterns of sleep disorders, but nurses had fewer outpatient visits for sleep disorders than the general population did in each season. For nurses with comorbid depressive disorders, outpatient visits for sleep disorders were more numerous in winter than in summer, potentially because nurses with comorbid depressive disorders are affected by shorter daylight exposure during winter. RELEVANCE TO CLINICAL PRACTICE: Depression and daylight exposure may be considered in mitigating sleep disorders in nurses.

Risk of Cancer in Patients with Insomnia, Parasomnia, and Obstructive Sleep Apnea: A Nationwide Nested Case-Control Study.

PURPOSE: Insomnia, parasomnia, and obstructive sleep apnea have been associated with a number of disease pathologies, but little is known about the relationship of these sleep disorders and cancer. The study explored the risk of sleep disorder (SD)-induced cancer using nationwide population data. Two million data from the National Health Insurance system of Taiwan was used to assess for the relationship. PATIENTS AND METHODS: Patients with cancer as our cases and patients without cancer as our control group in 2001-20011. The study patients were traced back to seek the exposure risk factor of sleep disorders, which was divided into three categories: insomnia, obstructive sleep apnea (OSA) and parasomnia. Patients were selected excluding patients who had cancer prior to presenting with the sleep disorder and the person-year is less than 2 years. Each case was randomly matched with two cases with the same age, gender, and index year. RESULTS: There were significantly increased risks of breast cancer in the patients with insomnia (AHR=1.73; 95% CI: 1.57-1.90), patients with parasomnia (AHR=2.76; 95% CI: 1.53-5.00), and patients with OSA (AHR=2.10; 95% CI: 1.16-3.80). Moreover, patients with parasomnia had significantly higher risk of developing oral cancer (AHR=2.71; 95% CI: 1.02-7.24) compared with patients without parasomnia. The risk of suffering from nasal cancer (AHR=5.96, 95% CI: 2.96-11.99) and prostate cancer (AHR=3.69, 95% CI: 1.98- 6.89) in patients with OSA was significantly higher than that of patients without OSA. CONCLUSIONS: Our findings provided the evidence that people diagnosed with insomnia, parasomnia and OSA are at a higher risk of developing cancers to remind people to improve sleep quality.

Risk of psychiatric disorders in patients with chronic insomnia and sedative-hypnotic prescription: a nationwide population-based follow-up study.

STUDY OBJECTIVES: Previous epidemiological studies have established insomnia as a major risk factor for mood, anxiety, and substance use disorders. However, the associations between insomnia with sedative-hypnotic prescriptions and various psychiatric disorders have not been thoroughly examined. The current study involved evaluating the risk of psychiatric disorders, namely schizophrenia, mood, anxiety, somatoform, and substance-related disorders, over a 6-y follow-up period in three groups: patients with insomnia and sedative-hypnotic prescriptions (Inso-Hyp), those with insomnia and without sedative-hypnotic prescriptions (Inso-NonHyp), and those with neither insomnia nor sedative-hypnotic prescriptions (NonInso-NonHyp). METHODS: We used a historical cohort study design to compare the risk of psychiatric disorders among the three groups. Data regarding these patients were derived from reimbursement claims recorded in Taiwan's National Health Insurance Research Database. Cox proportional hazards regression was used to compare the 6-y risk of subsequent psychiatric disorders among the Inso-Hyp, Inso-NonHyp, and NonInso-NonHyp groups. RESULTS: Compared with the Inso-NonHyp and NonInso-NonHyp group patients, the Inso-Hyp group patients exhibited a higher risk of psychiatric disorders, particularly bipolar disorders (adjusted hazard ratio [AHR]: 7.60; 95% confidence interval [CI]: 5.31-10.89 and AHR: 14.69; 95% CI: 11.11-19.43, respectively). Moreover, among the Inso-Hyp patient group, insomnia prescribed with benzodiazepine, a longer duration of sedative-hypnotic action, and higher doses of sedativehypnotics were significantly associated with a higher risk of depressive and anxiety disorders. CONCLUSION: The Inso-Hyp group exhibited a higher risk of developing psychiatric disorders than did the Inso-NonHyp and NonInso-NonHyp groups. The results regarding patients with insomnia and sedative-hypnotic prescriptions associated with the risk of psychiatric disorders can serve as a reference for care providers when managing sleep disturbances.

Circadian Activity Rhythms and Sleep in Nurses Working Fixed 8-hr Shifts.

Shift work is associated with adverse health outcomes. The aim of this study was to explore the effects of shift work on circadian activity rhythms (CARs) and objective and subjective sleep quality in nurses. Female day-shift (n = 16), evening-shift (n = 6), and night-shift (n = 13) nurses wore a wrist actigraph to monitor the activity. We used cosinor analysis and time-frequency analysis to study CARs. Night-shift nurses exhibited the lowest values of circadian rhythm amplitude, acrophase, autocorrelation, and mean of the circadian relative power (CRP), whereas evening-shift workers exhibited the greatest standard deviation of the CRP among the three shift groups. That is, night-shift nurses had less robust CARs and evening-shift nurses had greater variations in CARs compared with nurses who worked other shifts. Our results highlight the importance of assessing CARs to prevent the adverse effects of shift work on nurses' health.