Exposure to pesticides and mental disorders in a rural population of Southern Brazil

IntroductionExposure to pesticides has been associated with mental disorders, especially in occupationally exposed populations, such as farmers. This effect has been attributed to the neurotoxic and endocrine-disrupting activity of pesticides, as suggested by experimental studies.ObjectiveTo determine the prevalence of common mental disorders and self-reported depression, and analyze their association with the exposure to pesticides in a rural population resident in the municipality of Dom Feliciano, Rio Grande do Sul, where tobacco farming is the main economic activity.MethodologyA cross-sectional study evaluating the prevalence of common mental disorders and self-reported depression in a sample of 869 adult individuals resident in Dom Feliciano, between October 2011 and March 2012 was performed. The evaluation of common mental disorders was performed using the Self-Reporting Questionnaire (SRQ-20), setting a cutoff point of 8 for both genders. A standardized questionnaire was used to obtain information on self-reported depression upon prior diagnosis by a health professional, and self-reported exposure to pesticide. In order to evaluate the association between exposure to pesticides and mental disorders, a non-conditional multivariate logistic regression analysis was performed.ResultsThe prevalence of common mental disorders and self-reported depression in the sample population were 23% and 21%, respectively. Among individuals who reported depression, an increase of 73% was observed in the odds of pesticide exposure at an age equal to or less than 15 years. There was a positive association between self-reported pesticide poisoning and common mental disorders (OR = 2.63; 95% CI, 1.62-4.25) as well as self-reported depression (OR = 2.62; 95% CI, 1.63⿿4.21). Individuals who reported depression had a greater odds of exposure to pyrethroids (OR = 1.80; 95% CI, 1.01⿿3.21) and aliphatic alcohol (OR = 1.99; 95% CI, 1.04⿿3.83). An SRQ⿿20 ⿥ 8 was associated with an approximately seven times higher odds of exposure to aliphatic alcohol (95% CI, 1.73⿿27.53). Self-reported depression positively correlated with a greater period of exposure to dinitroaniline (OR = 2.20; 95% CI, 1.03⿿4.70) and sulphonylurea (OR = 4.95; 95% CI, 1.06⿿23.04).ConclusionThe results suggest that exposure to pesticides could be related mental disorders. However, other common risk factors in tobacco farming, the main local economic activity, cannot be excluded.     

La dépression majeure à caractéristique atypique comme facteur de risque du syndrome d’apnées obstructives du sommeil chez le jeune adulte

ObjectivesIn the literature, several studies have investigated the particular relationship between major depression and obstructive sleep apnoea syndrome (OSAS). However, most of these studies have focused primarily on middle-aged to elderly individuals (≥ 40 years) which means that this problem has been little studied in young adults (< 30 years). Nevertheless, in young adults the prevalence of major depression (particularly its atypical subtype) is not negligible, which seems to justify carrying out additional investigations in order to allow a better understanding of the potential role played by major depression in the pathophysiology of OSAS in this particular subpopulation. The aim of this study was therefore to empirically investigate the prevalence of OSAS in young adults and to study the risk of OSAS associated with major depression in this particular subpopulation.MethodsPolysomnographic and demographic data from 264 young adults were collected from the Erasme Hospital Sleep Laboratory (Brussels, Belgium) database to enable our analyses. During their two-night stay (including a first night of habituation and a night of polysomnography) at the Sleep Laboratory, these individuals underwent a complete somatic assessment (including blood test, electrocardiogram, daytime electroencephalogram and urinalysis), a systematic psychiatric assessment by a unit psychiatrist and an assessment of their complaints related to sleep. These different steps made it possible to systematically diagnose all somatic pathologies, psychiatric disorders according to the diagnostic criteria of the DSM-IV-TR and sleep pathologies according to the diagnostic criteria of the AASM. This allowed the selection of young adults included in our study based on our inclusion and exclusion criteria. Polysomnographic recordings from our Sleep Laboratory were visually scored according to AASM criteria. An obstructive sleep apnoea-hypopnoea index ≥ 5/hour was used for the diagnosis of OSAS. At the statistical level, in order to allow our analyses, we subdivided our sample of young adults into two groups: a control group without OSAS (n = 215) and a patient group with OSAS (n = 49). After checking the normal distribution of our data, normally distributed data were analysed with t-tests whereas asymmetrically or dichotomously distributed data were analysed with Wilcoxon tests or Chi² tests. Univariate regression models were used to study the risk of OSAS associated with major depression (categorized: absent, typical, atypical) in young adults and potential confounding factors. In multivariate regression models, the risk of OSAS associated with major depression (categorized: absent, typical, atypical) in young adults was adjusted only for confounding factors significantly associated with OSAS during univariate analysis. These confounding factors were introduced in a hierarchical manner in the various multivariate regression models constructed.ResultsThe prevalence of OSAS in our population of young adults was 18.6 %. During univariate analyses, atypical depression [OR 2.51 (95% CI 1.18–5.32), p-value = 0.014], male gender [OR 4.53 (95% CI 2.20–9.34), P-value < 0.001], presence of snoring [OR 2.51 (95% CI 1.33–4.75), P-value = 0.005], presence of at least one cardio-metabolic alteration [OR 2.26 (95% CI 1.19–4.28), P-value = 0.012], body mass index> 30 kg/m² [OR 4.55 (95% CI 2.07–10.03), P-value < 0.001] and ferritin ≥ 150 μg/L [OR 3.28 (95% CI 1.69–6.36), P-value < 0.001] were associated with increased risk of OSAS in our population of young adults. After adjusting for these major confounding factors associated with OSAS (gender, body mass index, cardio-metabolic alterations, ferritin level, and snoring) in the four models studied, multivariate regression analyses confirmed that unlike typical depression, atypical depression [OR 3.09 (95% CI 1.26–7.54), P-value = 0.019] was a risk factor for OSAS in young adults.ConclusionsIn our study, we demonstrated that the prevalence of OSAS was 18.6 % in young adults referred to the Erasme Hospital Sleep Laboratory. In addition, we have shown that unlike typical depression, atypical depression was associated with an increased risk of OSAS in young adults, which seems to justify more systematic research of this pathology in young adults suffering from atypical depression in order to allow the establishment of adapted therapeutic strategies and avoid the negative consequences associated with the co-occurrence of these two pathologies.     

Habitual sleep duration associated with self-reported and objectively determined cardiometabolic risk factors

BackgroundSelf-reported short or long sleep duration has been associated with adverse cardiometabolic health outcomes in laboratory and epidemiologic studies, but interpretation of such data has been limited by methodologic issues.MethodsAdult respondents of the 2007–2008 US National Health and Nutrition Examination Survey (NHANES) were examined in a cross-sectional analysis (N = 5649). Self-reported sleep duration was categorized as very short (<5 h), short (5–6 h), normal (7–8 h), or long (⩾9 h). Obesity, diabetes mellitus (DM), hypertension, and hyperlipidemia were objectively assessed by self-reported history. Statistical analyses included univariate comparisons across sleep duration categories for all variables. Binary logistic regression analyses and cardiometabolic factor as outcome, with sleep duration category as predictor, were assessed with and without covariates. Observed relationships were further assessed for dependence on race/ethnicity.ResultsIn adjusted analyses, very short sleep was associated with self-reported hypertension (odds ratio [OR], 2.02, [95% confidence interval {CI},1.45–2.81]; P < 0.0001), self-reported hyperlipidemia (OR, 1.96 [95% CI, 1.43–2.69]; P < 0.0001), objective hyperlipidemia (OR, 1.41 [95% CI, 1.04–1.91]; P = 0.03), self-reported DM (OR, 1.76 [95% CI, 1.13–2.74]; P = 0.01), and objective obesity (OR, 1.53 [95% CI, 1.03–1.43]; P = 0.005). Regarding short sleep (5–6 h), in adjusted analyses, elevated risk was seen for self-reported hypertension (OR, 1.22 [95% CI, 1.02–1.45]; P = 0.03) self-reported obesity (OR, 1.21 [95% CI, 1.03–1.43]; P = 0.02), and objective obesity (OR, 1.17 [95% CI, 1.00–1.38]; P < 0.05). Regarding long sleep (⩾9 h), no elevated risk was found for any outcomes. Interactions with race/ethnicity were significant for all outcomes; race/ethnicity differences in patterns of risk varied by outcome studied. In particular, the relationship between very short sleep and obesity was strongest among blacks and the relationship between short sleep and hypertension is strongest among non-Hispanic whites, blacks, and non-Mexican Hispanics/Latinos.ConclusionsShort sleep duration is associated with self-reported and objectively determined adverse cardiometabolic outcomes, even after adjustment for many covariates. Also, these patterns of risk depend on race/ethnicity.     

Association of stress coping strategies with Internet addiction in college students: The moderating effect of depression

BackgroundThis study examined the association between stress-related coping strategies and Internet addiction and the moderating effect of depression in a sample of Taiwanese college students.MethodA total of 500 college students (238 men and 262 women) participated in this study. Internet addiction was assessed using the Chen Internet Addiction Scale. Participants’ stress coping strategies and depressive symptoms were measured using the Coping Orientation to Problems Experienced and the Beck Depression Inventory-II, respectively. We used t and chi-square tests to examine differences in demographic characteristics, depression, and stress coping strategies between participants with and without Internet addiction. Significant variables were used in a logistic regression model to examine the association between stress coping strategies and Internet addiction and the moderating effect of depression on the association.ResultsResults indicated that use of restraint coping was negatively associated with Internet addiction (odds ratio [OR] = 0.886, 95% confidence interval [CI]: 0.802–0.977), whereas denial (OR = 1.177, 95% CI: 1.029–1.346) and mental disengagement (OR = 2.673, 95% CI: 1.499–4.767) were positively associated with Internet addiction. Depression had a moderating effect on the association between denial and Internet addiction (OR = 0.701, 95% CI: 0.530–0.927).ConclusionsStress coping strategies and depression are important factors to evaluate when developing intervention programs targeting college undergraduate students with Internet addiction.     

Quality-of-life metrics with vagus nerve stimulation for epilepsy from provider survey data

ObjectiveDrug-resistant epilepsy is a devastating disorder associated with diminished quality of life (QOL). Surgical resection leads to seizure freedom and improved QOL in many epilepsy patients, but not all individuals are candidates for resection. In these cases, neuromodulation-based therapies such as vagus nerve stimulation (VNS) are often used, but most VNS studies focus exclusively on reduction of seizure frequency. QOL changes and predictors with VNS remain poorly understood.MethodUsing the VNS Therapy Patient Outcome Registry, we examined 7 metrics related to QOL after VNS for epilepsy in over 5000 patients (including over 3000 with ≥ 12 months follow-up), as subjectively assessed by treating physicians. Trends and predictors of QOL changes were examined and related to post-operative seizure outcome and likelihood of VNS generator replacement.ResultsAfter VNS therapy, physicians reported patient improvement in alertness (58–63%, range over follow-up period), post-ictal state (55–62%), cluster seizures (48–56%), mood change (43–49%), verbal communication (38–45%), school/professional achievements (29–39%), and memory (29–38%). Predictors of net QOL improvement included shorter time to implant (odds ratio [OR], 1.3; 95% confidence interval [CI], 1.1–1.6), generalized seizure type (OR, 1.2; 95% CI, 1.0–1.4), female gender (OR, 1.2; 95% CI, 1.0–1.4), and Caucasian ethnicity (OR, 1.3; 95% CI, 1.0–1.5). No significant trends were observed over time. Patients with net QOL improvement were more likely to have favorable seizure outcomes (chi square [χ²] = 148.1, p < 0.001) and more likely to undergo VNS generator replacement (χ² = 68.9, p < 0.001) than those with worsened/unchanged QOL.SignificanceVNS for drug-resistant epilepsy is associated with improvement on various QOL metrics subjectively rated by physicians. QOL improvement is associated with favorable seizure outcome and a higher likelihood of generator replacement, suggesting satisfaction with therapy. It is important to consider QOL metrics in neuromodulation for epilepsy, given the deleterious effects of seizures on patient QOL.     

Association between glaucoma and sleep apnea in a large French multicenter prospective cohort

ObjectiveSeveral reports suggest that glaucoma may be linked to obstructive sleep apnea (OSA). Herein, we investigated this hypothesis in the largest reported sample to date.MethodsData were from the French multicenter prospective cohort study including OSA-suspected patients from private practice, general and teaching hospitals. Demographics, history, comorbidities and sleep studies from patients aged >50 years were analyzed. Univariate and multivariate logistic regression were used to predict the odds ratio of prevalent glaucoma depending on sleep apnea status and other potential anthropometric, metabolic, cardiovascular and respiratory confounders.ResultsA total of 9580 patients aged >50 years were included. Among these patients, 6754 had sleep apnea and 330 had glaucoma. Glaucoma prevalence was 3.55% in patients with OSA and 3.14% in patients without OSA. OSA diagnosis did not significantly influence the risk of glaucoma in univariate analysis (odds ratio [OR], 1.13; 95% confidence interval [CI], 0.87–1.47). The variables significantly influencing the odds of glaucoma with multivariate regression were age >61.4 years (OR, 1.55; 95% CI, 1.23–1.95), body mass index <30 kg/m² (OR, 1.58; 95% CI, 1.26–1.99), female gender (OR, 1.40; 95% CI, 1.11–1.78), arterial hypertension (OR, 1.32; 95% CI, 1.05–1.67), high triglyceride levels (OR, 2.03; 95% CI, 1.43–2.88) and thyroid dysfunction (OR, 1.52; 95% CI, 1.09–2.11).ConclusionsWhen confounders are taken into account, patients with OSA do not have higher odds of glaucoma compared with patients who do not have OSA in a large multicenter prospective cohort.     

Increased depression risk among patients with chronic osteomyelitis

ObjectiveInflammatory processes, which provoke alternations of neurotransmitter metabolism, neuroendocrine function, and neuroplasticity in the brain, might promote depression. In depression patients who do not exhibit risk factors, including hypertension, diabetes, coronary heart disease, stroke, Parkinson's disease and dementia, particularly in young people, inflammation is a likely risk factor for depression. We explored whether chronic osteomyelitis (COM), a chronic inflammatory disease, increases depression risk.MethodsA Taiwanese national insurance claims data set of more than 22 million enrollees was used to select 15,529 COM patients without depression history and 62,116 randomly selected age- and gender-matched controls without depression and COM history to trace depression development for an 12-year follow-up period from January 1, 1999 to December 31, 2010. The depression risk was analyzed using the Cox proportional hazards regression model.ResultsThe above-mentioned risk factors for depression were more frequent in the COM cohort, who exhibited significantly higher depression risk than the control group did. Comparing only those without comorbidities, the COM group exhibited higher depression risk than the control group did (hazard ratio [HR] = 3.04, 95% confidence interval [CI]: 2.55–3.62). The younger population carried even greater risk (age < 45: HR = 6.08, 95% CI: 1.71–7.85; age > 65: HR = 1.75, 95% CI: 1.39–2.19).ConclusionsThis is the first study connecting COM to increased risk of developing depression. The outcomes suggest that COM is a substantial depression predictor and call for a closer focus on these patients for more rigorous depression prevention, particularly in young people.     

Depression and anxiety among high-risk obstetric inpatients

ObjectiveTo assess the following among women hospitalized antenatally due to high-risk pregnancies: (1) rates of depression symptoms and anxiety symptoms, (2) changes in depression symptoms and anxiety symptoms and, (3) rates of mental health treatment.MethodsSixty-two participants hospitalized for high-risk obstetrical complications completed the Edinburgh Postnatal Depression Scale (EPDS), Generalized Anxiety Disorder 7-item scale (GAD-7) and Short-Form 12 weekly until delivery or discharge, and once postpartum.ResultsAverage length of total hospital stay was 8.3±7.6days for women who completed an initial admission survey (n= 62) and 16.3±8.9 (n= 34), 25.4±10.2 (n= 17) and 35±10.9 days (n= 9) for those who completed 2, 3 and 4 surveys, respectively. EPDS was ≥ 10 in 27% (n= 17) and GAD-7 was ≥ 10 in 13% (n= 8) of participants at initial survey. Mean anxiety (4.2±6.5 vs. 5.2±5.1, p= .011) and depression (4.4±5.6 vs. 6.9±4.8, p= .011) scores were lower postpartum compared to initial survey. Past mental health diagnosis predicted depression symptoms [odds ratio (OR)=4.54; 95% confidence interval (CI) 1.91–7.17] and anxiety symptoms (OR=5.95; 95% CI 3.04–8.86) at initial survey; however, 21% (n= 10) with no diagnostic history had EPDS ≥ 10. Five percent (n= 3) received mental health treatment during pregnancy.ConclusionHospitalized high-risk obstetrical patients may commonly experience depression symptoms and/or anxiety symptoms and not receive treatment. A history of mental health treatment or diagnosis was associated with depression symptoms or anxiety symptoms in pregnancy. Of women with an EPDS ≥ 10, > 50% did not report a past mental health diagnosis.     

Should we treat patients with impaired consciousness and periodic patterns on EEG?

PurposeThe significance of periodic EEG patterns in patients with impaired consciousness is controversial. We aimed to determine if treating these patterns influences clinical outcome.MethodWe studied all patients who had periodic discharges on their EEG recordings from January 2007 to December 2009. Patients with clinical seizures within the preceding 24 h, or with unequivocal electrographical seizure activity were excluded. Logistic regression was performed to analyze for factors associated with (a) mortality (b) functional status (c) resolution of EEG pattern.ResultsOf the 4246 patients who had EEG, 111 (2.6%) had periodic EEG patterns. 64 met inclusion criteria. In adjusted analysis, higher mortality was associated with acute symptomatic etiology (OR 17.74, 95% CI 1.61–196.07, p = 0.019), and presence of clinical seizures (OR 4.73, 95% CI 1.10–20.34, p = 0.037). For each unit decrement of GCS, the odds of inpatient mortality and a poorer functional state on discharge increased by 23% (95% CI 7–37%, p = 0.009) and 33% (95% CI 9–51%, p = 0.011) respectively. Administration of abortive therapy was an independent risk factor for poorer functional status on discharge (adjusted OR 41.39, 95% CI 2.88–594.42, p = 0.006), while patients with history of pre-existing cerebral disease appeared more likely to return to baseline functional status on discharge (unadjusted OR 5.00, 95% CI 1.40–17.86, p = 0.013).ConclusionTreatment of periodic EEG patterns does not independently improve clinical outcome of patients with impaired conscious levels. Occurrence of seizures remote to the time of EEG and lower GCS scores independently predict poor prognoses.     

Subsequent higher education after adolescent depression: A 15-year follow-up register study

BackgroundAdolescent depression has been shown to have a range of adverse outcomes. We used longitudinal data to investigate subsequent higher education in former depressed adolescents.MethodA Swedish population-based investigation of depression in 16–17-year-olds was followed up in national registers 15 years later. Adolescents with depression (n = 361, 78% females) were compared to a group of non-depressed peers of the same age (n = 248, 77% females). The main outcome was graduation from higher education by age 30.ResultsThe adolescent with depression were less likely than their non-depressed peers to have graduated from higher education by age 30, both regarding females (27.7% vs. 36.4%, p < .05) and males (12.7% vs. 28.6%, p < .05). After adjustment for early school performance, socioeconomic status and maternal education, the decreased likelihood of subsequent graduation from higher education remained for depressed males (OR, 0.27; 95% CI, 0.08–0.93) but not for depressed females (OR, 0.93; 95% CI, 0.58–1.49).ConclusionContrary to what previous research has suggested, adolescent depression and its consequences might be particularly destructive to subsequent higher education in males.     

Environmental factors,sleep duration,and sleep bruxism in Brazilian schoolchildren: a case-control study

ObjectiveThe purpose of our study was to evaluate the association between environmental factors, sleep duration, and sleep bruxism (SB) in schoolchildren.MethodsA case-control study was performed. Individuals participating in the study were randomly chosen from public and private schools in Belo Horizonte, Brazil. A total of 120 children with bruxism and 240 without bruxism (mean age, 8 years) participated in our study. A questionnaire for parents was used to collect data based on criteria taken from the American Academy of Sleep Medicine. Conditional binary logistic regression statistical tests and χ² tests were used for analysis.ResultsThe final logistical model found that children with a median sleep time ⩽8 h per night (odds ratio [OR], 2.561 [95% confidence interval {CI}, 1.480–4.433]), who did not enjoy a good night’s sleep (OR, 3.253 [95% CI, 1.600–6.615]), who slept with noise in the room (OR, 2.699 [95% CI, 1.645–4.429]), and who had the light on (OR, 2.370 [95% CI, 1.446–3.884]), were more likely to have SB.ConclusionChildren who sleep for less than 8 h a night are more likely to have SB. Light and noise in the room were two predisposing factors for the occurrence of SB.     

El insomnio y la pobre calidad de sueño se asocian a un mal control de crisis en pacientes con epilepsia

ObjectivesThis study aimed to assess the presence of sleep disorders in patients with epilepsy and to analyse their association with seizure control.MethodsWe performed a cross-sectional study of patients with epilepsy, recruited consecutively between September 2017 and December 2018. Patients were classified as having good seizure control (no seizures in the last 4 weeks) or poor seizure control (at least one seizure in the last 4 weeks). We performed intergroup comparisons for demographic and clinical data, insomnia (Insomnia Severity Index [ISI]), excessive daytime sleepiness (Epworth Sleepiness Scale [ESS]), sleep quality (Pittsburgh Sleep Quality Index [PSQI]), depression (Beck Depression Inventory-II [BDI-II]), and quality of life (Quality of Life in Epilepsy Inventory-10 [QOLIE-10]).ResultsThe sample included a total of 123 patients, of whom 31.7% had excessive daytime sleepiness (ESS ≥ 10), 50.4% had insomnia (ISI ≥ 10), and 53.6% had poor sleep quality (PSQI ≥ 5). According to our multivariate analysis, presence of seizures was associated with unemployment (odds ratio [OR] = 4.7; 95% confidence interval [CI], 1.36-19.2; P = .02), a higher number of antiepileptic drugs (OR = 5.87; 95% CI, 1.81-27.1; P < .001), insomnia (OR = 1.9; 95% CI, 1.1-9.3; P = .04), and poor sleep quality (OR = 2.8; 95% CI, 1.9-10.32; P = .01).ConclusionsSleep disorders are common in patients with epilepsy. Insomnia and poor sleep quality were associated with poor seizure control. These findings support the hypothesis that sleep disorders constitute a significant comorbidity of epilepsy, especially in patients with poor seizure control.     

Associations between specific technologies and adolescent sleep quantity,sleep quality,and parasomnias

ObjectiveWe tested the hypothesis that weekday bedtime use of six technologies would be significantly associated with eight sleep parameters studied relating to sleep quantity, sleep quality, and parasomnias.MethodsIn our cross-sectional study, we previously administered validated age-appropriate questionnaires (School Sleep Habits Survey, Technology Use Questionnaire). Participating adolescents (n = 738; 54.5% boys) were aged 11–13 years and were from the Midlands region of the United Kingdom in 2010.ResultsFrequent use of all technology types was significantly inversely associated with weekday sleep duration (hours). Frequent music listeners and video gamers had significantly prolonged sleep onset (β = 7.03 [standard error {SE}, 2.66]; P < .01 and β = 6.17 [SE, 2.42]; P < .05, respectively). Frequent early awakening was significantly associated with frequent use of all technology types. The greatest effect was observed in frequent television viewers (odds ratio [OR], 4.05 [95% confidence interval {CI}, 2.06–7.98]). Difficulty falling asleep was significantly associated with frequent mobile telephone use, video gaming, and social networking, with music listeners demonstrating the greatest effect (OR, 2.85 [95%CI, 1.58–5.13]). Music listeners were at increased risk for frequent nightmares (OR, 2.02 [95%CI, 1.22–3.45]). Frequent use of all technologies except for music and mobile telephones was significantly associated with greater cognitive difficulty in shutting off. Frequent television viewers were almost four times more likely to report higher sleepwalking frequency (OR, 3.70 [95% CI, 1.89–7.27]).ConclusionsFrequent weekday technology use at bedtime was associated with significant adverse effects on multiple sleep parameters. If confirmed in other samples and longitudinally, improving sleep hygiene through better management of technology could enhance the health and well-being of adolescent populations.     

Sleep fragmentation and sleep-disordered breathing in individuals living close to main roads: results from a population-based study

BackgroundNighttime traffic noise is associated with sleep disturbances, but sleep fragmentation and sleep-disordered breathing (SDB) have not been demonstrated in individuals living near busy roads.MethodsWe asked 1383 participants to answer a health questionnaire and to undergo 24-h electrocardiogram (ECG). Nocturnal ECG records were used to calculate the very low frequency index (VLFI) interval, a surrogate marker of sleep fragmentation. Distances of participants’ addresses to roadways were calculated using the VECTOR25© Swisstopo roads classification, a traffic noise proxy. Distances of homes within 100 or 50 m of major roads defined proximity to busy roads. Adjusted multivariate logistic regressions analyzed associations between the distance of home to main roads and VLFI or self-reported SDB.ResultsDistance of participants’ homes to main roads was significantly associated with the VLFI in women (odds ratio [OR], 1.58 [confidence interval {CI}, 1.03–2.42]; P = .038) but not in men (OR, 1.35 [CI, 0.77–2.35]; P = .295). Women under hormonal replacement therapy (HRT) were at higher risk for increased VLFI when living close to main roads (OR, 2.10 [CI, 1.20–3.68]; P = .01) than untreated women (P = .584). Associations with self-reported SDB were not statistically relevant.ConclusionsIn our large population, women living close to main roads were at significantly higher risk for sleep fragmentation than men. The 2-fold higher risk for menopausal women under HRT underscores the vulnerability of this group.     

Traumatic interhemispheric subdural haematoma: Study of 35 cases

The clinical and radiological findings, management, and outcomes in 35 patients with traumatic interhemispheric subdural haematoma (ISH) were reviewed retrospectively. Twenty-five patients had favourable outcomes and 10 had poor outcomes. All patients were treated conservatively for ISH. Univariate analysis found that the Glasgow Coma Scale (GCS) score (p < 0.001), hypovolemic shock (p = 0.018), skull fracture (p = 0.008), convexity or posterior fossa subdural haematoma (p = 0.008), and subarachnoid haemorrhage (SAH) were correlated with outcome (p < 0.001). Multivariate analysis showed that GCS score (p = 0.031; odds ratio [OR], 0.6; 95% confidence interval [CI], 0.3–0.9) and the presence of SAH (p = 0.023; OR, 14.2; 95% CI, 1.5–138.2) were significantly related to poor outcome. This study provides important information on the clinicoradiological findings and prognoses in patients with traumatic ISH.     

Short-term risk and predictors of stroke after transient ischemic attack

BackgroundTransient ischemic attack (TIA) is a marker of stroke, especially in the early phase following this event. The aims of this study are to determine the short-term risk of stroke and to evaluate the independent predictors of stroke in patients with TIA who are hospitalized within 48 hours after symptom onset.MethodsDuring a 36-month period (beginning in November 2007), 3554 patients (mean age: 70.5 ± 13 years; 49.9% female; mean NIHSS score: 1.4 ± 2.5) from 15 hospitals suffering from TIA were prospectively evaluated.ResultsOf the 3554 patients, 43 (1.2%) suffered from stroke during hospitalization (6.5 ± 4.3 days). We identified the following independent predictors for stroke after TIA: male sex (odds ratio [OR], 2.5; 95% confidence interval [CI], 1.3–5; P = 0.008), age ≥ 65 years (OR, 4.7; 95% CI, 1.4–15; P = 0.01), hyperlipidemia (OR, 2.4; 95% CI, 1.2–4.8; P = 0.015), and dysarthria (OR, 2; 95% CI, 1.1–5.0; P = 0.038).ConclusionPatient characteristics (male sex, age, and hyperlipidemia) and TIA symptom (dysarthria) may be useful in defining stroke after TIA in patients who were hospitalized with TIA.     

Clinical outcomes after craniotomy for unruptured intracranial aneurysm in patients with coronary artery disease

BackgroundCoronary artery disease (CAD) patients receiving antiplatelet agents occasionally undergo craniotomy. We aimed to clarify clinical outcomes after craniotomy for unruptured intracranial aneurysm (UIA) in patients with CAD. We also aimed to identify the possible predictive factors for morbidity and surgical complications in patients on antiplatelet treatment.MethodsWe retrospectively analyzed 401 consecutive patients who had undergone craniotomy for UIA at our institution between January 2006 and December 2016. Forty-three patients (10.7%) received antiplatelet agents during the perioperative period. The underlying reasons for antiplatelet treatment were CAD in 12 patients and other diseases in 31 patients.ResultsSevere morbidity and intracranial hemorrhage occurred more commonly and symptomatic brain infarction occurred less frequently in patients with CAD compared to patients with other underlying diseases (16.7% versus 3.2%, 16.7% versus 9.7%, and 8.3% versus 16.1%, respectively), though differences between the two groups were not significant. Univariate analysis revealed that a low preoperative baseline platelet count was significantly correlated with the occurrence of intracranial hemorrhage (cutoff value, 16.5 × 10⁴/µL; odds ratio (OR), 46.67; 95% confidence interval (CI), 3.88–561.95; p = 0.0005), and a high baseline platelet count tended to correlate with severe morbidity (cutoff value, 29.8 × 10⁴/µL; OR, 11.33; 95% CI, 0.88–145.52; p = 0.0550).ConclusionsOur results suggest that surgical complications and clinical outcomes after craniotomy may depend on the underlying reason for antiplatelet treatment. Moreover, a preoperative platelet count can be useful in predicting the occurrence of intracranial hemorrhage and severe morbidity after craniotomy in patients receiving antiplatelet agents.     

Self-esteem in adolescents with epilepsy: Psychosocial and seizure-related correlates

PurposeThis study evaluated self-esteem in adolescents with epilepsy and its association with psychosocial and disease-related variables.MethodsThis was a cross-sectional study with patients enrolled between January and June 2010. Culture-Free Self-Esteem Inventory for Children (CFSEI-2) was administered to 140 children with epilepsy and 50 children with asthma, aged 10–18 years attending mainstream schools.ResultsAdolescents with epilepsy had a significantly lower overall self-esteem score when compared with those with asthma, 17 ± 5.21 versus 19.4 ± 3.83, respectively (P = 0.005). Thirty-one (22.1%) children with epilepsy compared with 4 (8.3%) with asthma had overall self-esteem score below the cutoff (P = 0.034). There was a significant correlation between overall self-esteem score and duration of epilepsy, Hospital Anxiety and Depression Scale (HADS) anxiety score, HADS depression score, and Strengths and Weaknesses of ADHD symptoms and Normal-Behaviors (SWAN) rating combined score. The impact of various correlates on individual domains was not identical. Independent factors associated with low overall self-esteem were HADS depression score (OR: 1.62; 95% CI: 1.2, 2.2; P = 0.002), duration of epilepsy (OR: 1.4; 95% CI: 1.04, 1.88; P = 0.024), and father employment status economically inactive (OR: 11.9; 95% CI: 1.07, 125; P = 0.044). Seizure-free ≥ 12 months was a favorable factor that was less likely to be associated with low self-esteem (OR: 0.14; 95% CI: 0.02, 0.81; P = 0.028).ConclusionSelf-esteem was compromised in adolescents with epilepsy. A significant correlation between self-esteem and psychological comorbidities was demonstrated. Enhancing social support and education programs may improve the self-esteem and, ultimately, the lives of adolescents living with epilepsy.     

Sleep-disordered breathing: Impact on functional outcome of ischemic stroke patients

Background and purposeSleep-disordered breathing (SDB) is more prevalent in stroke patients than age- and sex-matched controls, but the relationship between SDB and functional outcome of stroke patients is unclear. The aim of our study was to determine the prevalence of SDB in ischemic stroke and its influence on functional outcome at 3 and 6 months after stroke onset.MethodsIn a prospective study, 60 patients were selected by polysomnography (PSG). The apnea–hypopnea index (AHI) was determined 6.5 ± 3.2 days after stroke onset. Neurologic severity at admission was assessed by the Scandinavian Stroke Scale (SSS) and outcome by the Barthel Index (BI). Patients were evaluated on admission, 3 and 6 months after stroke onset.ResultsAmong the 60 patients, 39 (65%) patients had SDB (AHI ? 5); of these, 30 patients (50%) had AHI ? 15 and 18 (30%) > 30. On Logistic regression analysis, the BI at 3 months was independently predicted by SSS (OR = 0.74, 95% CI [0.62–0.88], P = 0.001) and AHI (OR = 1.09, 95% CI [1.02–1.17], P < 0.05). At 6 months, the BI was predicted only by SSS (OR = 0.83, 95% CI [0.74–0.92], P = 0.001).ConclusionsSDB is common in patients during acute phase after stroke onset. SDB appears to be associated with a worse functional outcome during the early recovery period following stroke, increasing the likelihood of dependency.     

Bio-psychosocial study on the impact of the COVID-19 lockdown on depression and anxiety in a sample of 1753 French-speaking subjects

The aim of this article was to study the impact of the COVID19 lockdown on anxiety and depressive symptoms on the basis of responses to an online survey from 1753 French-speaking subjects, conducted between April 27 and May 11, 2020.MethodUsing a biopsychosocial model, the effects of socio-demographic characteristics (age, gender at birth, socio-professional category, sexual orientation), lockdown conditions (material factors: urban density of the place of residence, surface area of the place of residence during lockdown), social characteristics: living with a partner during lockdown, presence of children during lockdown) and psychosocial history (attachment styles) on anxiety – evaluated on the GAD7 – and depression – evaluated on the MDI – were investigated. Ordinal regression analyses were conducted.ResultsThe rates of depression observed (moderate or severe depression: 22.5%) and anxiety (moderate or severe anxiety: 18.4%) were higher than usual but lower than what has been documented in other studies on the effects of lockdown. Women appeared to be more vulnerable than men (Anxiety: AOR = 1.647, CI 95% = 1.647–2.530; Depression: AOR = 1.622, CI 95% = 1.274–2.072). Bisexual individuals had an increased likelihood of anxiety symptoms (AOR = 1.962, CI 95% = 1.544–2.490) and depression (AOR = 1.799, CI 95% = 1.394–2.317). For homosexuals, only links with depression were observed (AOR = 1.757, CI 95% = 1.039–2.906). People in a situation of economic vulnerability were more prone to anxiety disorders (e.g. people with no working activity: AOR = 1.791, CI 95% = 1.147–2.790) or depression (e.g. people with no working activity: AOR = 2.581, CI 95% = 1.633–4.057). Links with attachment styles were also found. Fearful subjects were particularly vulnerable (anxiety: AOR = 2.514, CI 95% = 1.985–3.190; depression: AOR = 2.521, CI 95% = 1.938–3.289), followed by subjects with an anxious attachment style (anxiety: AOR = 1.949, CI 95% = 1.498–2.540; depression: AOR = 1.623, CI 95% = 1.207–2.181). The impact of lockdown on avoidant subjects only concerned depression (AOR = 1.417, CI 95% = 1.034–1.937). Being with a partner during lockdown appeared to have a protective effect against depression (AOR = .693, CI 95% = .555–.866). Neither the presence of children, the surface area of the lockdown residence, nor the population density of the place of residence was associated with anxiety or depression.ConclusionThe impact of lockdown on mental health depends on a range of dimensions that need to be apprehended in order to tailor post-lockdown psychological and social support. Management based on a biopsychosocial approach should be favored.