Lifetime Subthreshold Mania is Related to Suicidality in Posttraumatic Stress Disorder

CNS Spectrums ◽  
2009 ◽  
Vol 14 (5) ◽  
pp. 262-266 ◽  
Author(s):  
Liliana Dell'Osso ◽  
Claudia Carmassi ◽  
Paola Rucci ◽  
Antonio Ciapparelli ◽  
Rosemma Paggini ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Regression Models ◽  
Stress Disorder ◽  
Bipolar Disorders ◽  
Logistic Regression Models ◽  
Mood Symptoms ◽  
Validated Questionnaire ◽  
Affective Symptoms ◽  
Healthy Control ◽  
The Impact

ABSTRACTIntroduction: Although the association between mood disorders, and particularly bipolar disorders, comorbidity and suicidality in posttraumatic (PTSD) patients is well established, less information is available on the impact of subsyndromal mood symptoms. The aim of the present study was, thus, to explore the frequency and relationship between subthreshold mood symptoms, assessed by a specific and validated questionnaire, and suicidality in PTSD patients.Method: Sixty-five PTSD outpatients without bipolar disorders and 65 healthy control subjects were asked to complete the Mood Spectrum-SR-Lifetime Version (MOODS-SR), a questionnaire exploring the presence of subthreshold affective symptoms. Logistic regression models were used to analyze the relationships between suicidality, explored by six items of the MOODS-SR combined and dichotomized to denote the presence or absence of suicidal ideations/plans and/or attempts, and the number of manic/hypomanic or depressive symptoms.Results: Statistically significant and positive associations were found between the presence of manic/hypomanic and depressive symptoms and the likelihood of suicidal ideation or attempts.Conclusion: Besides depressive, even subthreshold manic/hypomanic features seem to be associated with higher suicidality in PTSD patients.

scholarly journals A betegbiztonságot támogató szervezeti kultúra változása a hazai akkreditációs programot tesztelő intézményekben

2016 ◽  
Vol 157 (42) ◽  
pp. 1667-1673 ◽  
Author(s):  
Judit Lám ◽  
Gergő Merész ◽  
Gyula Bakacsi ◽  
Éva Belicza ◽  
Cecília Surján ◽  
...  
Keyword(s):  
Patient Safety ◽  
Health Care Providers ◽  
Regression Models ◽  
Organisational Culture ◽  
Three Dimensions ◽  
Care Providers ◽  
Logistic Regression Models ◽  
Accreditation Program ◽  
Validated Questionnaire ◽  
The Impact

Introduction: The accreditation system for health care providers was developed in Hungary aiming to increase safety, efficiency, and efficacy of care and optimise its organisational operation. Aim: The aim of this study was to assess changes of organisational culture in pilot institutes of the accreditation program. Method: 7 volunteer pilot institutes using an internationally validated questionnaire were included. The impact study was performed in 2 rounds: the first before the introduction of the accreditation program, and the second a year later, when the standards were already known. Data were analysed using descriptive statistics and logistic regression models. Results: Statistically significant (p<0.05) positive changes were detected in hospitals in three dimensions: organisational learning – continuous improvement, communication openness, teamwork within the unit while in outpatient clinics: overall perceptions of patient safety, and patient safety within the unit. Conclusions: Organisational culture in the observed institutes needs improvement, but positive changes already point to a safer care. Orv. Hetil., 2016, 157(42), 1667–1673.

The impact of SPY angiography on intraoperative decision making and outcomes for post-mastectomy reconstruction

2019 ◽  
pp. 1-5
Keyword(s):  
Decision Making ◽  
Logistic Regression ◽  
Skin Necrosis ◽  
Regression Models ◽  
Multivariable Analysis ◽  
P Value ◽  
Flap Necrosis ◽  
Single Institution ◽  
Logistic Regression Models ◽  
The Impact

Objective: While the use of intraoperative laser angiography (SPY) is increasing in mastectomy patients, its impact in the operating room to change the type of reconstruction performed has not been well described. The purpose of this study is to investigate whether SPY angiography influences post-mastectomy reconstruction decisions and outcomes. Methods and materials: A retrospective analysis of mastectomy patients with reconstruction at a single institution was performed from 2015-2017.All patients underwent intraoperative SPY after mastectomy but prior to reconstruction. SPY results were defined as ‘good’, ‘questionable’, ‘bad’, or ‘had skin excised’. Complications within 60 days of surgery were compared between those whose SPY results did not change the type of reconstruction done versus those who did. Preoperative and intraoperative variables were entered into multivariable logistic regression models if significant at the univariate level. A p-value <0.05 was considered significant. Results: 267 mastectomies were identified, 42 underwent a change in the type of planned reconstruction due to intraoperative SPY results. Of the 42 breasts that underwent a change in reconstruction, 6 had a ‘good’ SPY result, 10 ‘questionable’, 25 ‘bad’, and 2 ‘had areas excised’ (p<0.01). After multivariable analysis, predictors of skin necrosis included patients with ‘questionable’ SPY results (p<0.01, OR: 8.1, 95%CI: 2.06 – 32.2) and smokers (p<0.01, OR:5.7, 95%CI: 1.5 – 21.2). Predictors of any complication included a change in reconstruction (p<0.05, OR:4.5, 95%CI: 1.4-14.9) and ‘questionable’ SPY result (p<0.01, OR: 4.4, 95%CI: 1.6-14.9). Conclusion: SPY angiography results strongly influence intraoperative surgical decisions regarding the type of reconstruction performed. Patients most at risk for flap necrosis and complication post-mastectomy are those with questionable SPY results.

scholarly journals Smoking Across the Menopausal Transition in a 10-Year Longitudinal Sample: The Role of Sex Hormones and Depressive Symptoms

2019 ◽  
Vol 22 (6) ◽  
pp. 872-877 ◽  
Author(s):  
MacKenzie R Peltier ◽  
José M Flores ◽  
Philip H Smith ◽  
Walter Roberts ◽  
Terril L Verplaetse ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Sex Hormones ◽  
Smoking Behavior ◽  
Menopausal Transition ◽  
Current Cigarette Smoking ◽  
Logistic Regression Models ◽  
Smoking Behaviors ◽  
Current Cigarette ◽  
Smoking Patterns ◽  
The Impact

Abstract Introduction Current cigarette smoking rates among older women remain problematic, especially given that this population experiences increased smoking-related health consequences. Despite these increased health concerns, little research to date has explored smoking patterns across the menopausal transition (pre-, early-peri-, late-peri-, and postmenopausal) or the effect of unique factors such as sex hormones and depression during this transition. Methods This study used 10 yearly waves of data from the Study of Women’s Health Across the Nation, a longitudinal dataset. Data included 1397 women endorsing ever smoking regularly at baseline. Random-effects logistic regression models were used to examine smoking transitions. Results Although there were no associations between menopausal transition stage and smoking behavior, increased estradiol was associated with an increased likelihood of quitting regular smoking (eg, transitioning from regular smoking to non-regular or no smoking; odds ratio [OR] = 1.28), whereas increased testosterone was associated with an increased likelihood of relapsing to regular smoking (eg, transitioning from former or nonregular smoking to regular smoking OR = 2.56). Depression was associated with increased likelihood of continued smoking (OR = 0.97) and relapse (OR = 1.03). Conclusions The results emphasize the need to develop interventions to target initiated or continued smoking among women across the menopausal transition and specifically highlight the importance of developing treatments that target depressive symptoms in this population. In addition, although singular hormone measures were associated with smoking behavior, there is a need for future study of dynamic changes in hormones, as well as the impact of progesterone on smoking behaviors across the menopausal transition. Implications To date, no studies have examined smoking behaviors across the menopausal transition. In this study, although menopausal transition status was not significantly related to transitions in smoking behavior, important relationships between sex hormones and depression were observed. Increased estradiol was associated with an increased likelihood of quitting regular smoking, whereas increased testosterone was associated with an increased likelihood of relapsing to regular smoking behavior. Higher depression scores were related to continued smoking and relapse to regular smoking behavior. These results highlight the need to develop interventions to target smoking cessation among women across the menopausal transition.

scholarly journals The prospective relationship between social cohesion and depressive symptoms among older adults from Central and Eastern Europe

2018 ◽  
Vol 73 (2) ◽  
pp. 117-122 ◽  
Author(s):  
Carla Bertossi Urzua ◽  
Milagros A Ruiz ◽  
Andrzej Pajak ◽  
Magdalena Kozela ◽  
Ruzena Kubinova ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Eastern Europe ◽  
Social Cohesion ◽  
Regression Models ◽  
Central And Eastern Europe ◽  
The Czech Republic ◽  
Logistic Regression Models ◽  
Z Scores ◽  
Prospective Association

BackgroundSocial cohesion has a potential protective effect against depression, but evidence for Central and Eastern Europe is lacking. We investigated the prospective association between social cohesion and elevated depressive symptoms in the Czech Republic, Russia and Poland, and assessed whether alcohol drinking and smoking mediated this association.MethodsCohort data from 15 438 older urban participants from the Health, Alcohol and Psychosocial factors In Eastern Europe project were analysed. Baseline social cohesion was measured by five questions, and depressive symptoms were measured 3 years later by the 10-item Center for Epidemiological Depression (CES-D) Scale. Nested logistic regression models estimated ORs of elevated depressive symptoms (CES-D 10 score ≥4) by z-scores and tertiles of social cohesion.ResultsPer 1 SD decrease in social cohesion score, adjusted ORs of elevated depressive symptoms were 1.13 (95% CI 1.05 to 1.23) and 1.05 (95% CI 0.99 to 1.13) in men and women, respectively. Further adjustment for smoking and drinking did not attenuate these associations in either men (OR=1.13, 95% CI 1.05 to 1.22) or women (OR=1.05, 95% CI 0.99 to 1.13). Similarly, the fully adjusted ORs comparing the lowest versus highest social cohesion tertile were 1.33 (95% CI 1.10 to 1.62) in men and 1.18 (95% CI 1.01 to 1.39) in women.ConclusionsLower levels of social cohesion was associated with heightened depressive symptoms after a 3-year follow-up among older Czech, Russian and Polish adults. These effects appeared stronger in men, and alcohol and smoking played no appreciable role in this association.

scholarly journals High association of COVID-19 severity with poor gut health score in Lebanese patients

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0258913
Author(s):  
Imad Al Kassaa ◽  
Sarah El Omari ◽  
Nada Abbas ◽  
Nicolas Papon ◽  
Djamel Drider ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Models ◽  
Equal Proportion ◽  
Gut Health ◽  
Kendall’S Tau ◽  
High Association ◽  
Kendall's Tau ◽  
Health Score ◽  
Logistic Regression Models ◽  
The Impact

Background Coronavirus disease 2019 (COVID-19) has affected millions of lives globally. However, the disease has presented more extreme challenges for developing countries that are experiencing economic crises. Studies on COVID-19 symptoms and gut health are scarce and have not fully analyzed possible associations between gut health and disease pathophysiology. Therefore, this study aimed to demonstrate a potential association between gut health and COVID-19 severity in the Lebanese community, which has been experiencing a severe economic crisis. Methods This cross-sectional study investigated SARS-CoV-2 PCR-positive Lebanese patients. Participants were interviewed and gut health, COVID-19 symptoms, and different metrics were analyzed using simple and multiple logistic regression models. Results Analysis of the data showed that 25% of participants were asymptomatic, while an equal proportion experienced severe symptoms, including dyspnea (22.7%), oxygen need (7.5%), and hospitalization (3.1%). The mean age of the participants was 38.3 ±0.8 years, and the majority were males (63.9%), married (68.2%), and currently employed (66.7%). A negative correlation was found between gut health score and COVID-19 symptoms (Kendall’s tau-b = -0.153, P = 0.004); indicating that low gut health was associated with more severe COVID-19 cases. Additionally, participants who reported unhealthy food intake were more likely to experience severe symptoms (Kendall’s tau-b = 0.118, P = 0.049). When all items were taken into consideration, multiple ordinal logistic regression models showed a significant association between COVID-19 symptoms and each of the following variables: working status, flu-like illness episodes, and gut health score. COVID-19 severe symptoms were more common among patients having poor gut health scores (OR:1.31, 95%CI:1.07–1.61; P = 0.008), experiencing more than one episode of flu-like illness per year (OR:2.85, 95%CI:1.58–5.15; P = 0.001), and owning a job (OR:2.00, 95%CI:1.1–3.65; P = 0.023). Conclusions To our knowledge, this is the first study that showed the impact of gut health and exposure to respiratory viruses on COVID-19 severity in Lebanon. These findings can facilitate combating the pandemic in Lebanon.

scholarly journals Do RATs save lives? A retrospective analysis of out-of-hospital cardiac arrest in an English Ambulance Service

2018 ◽  
Vol 3 (2) ◽  
Author(s):  
Richard Pilbery ◽  
M. Dawn Teare
Keyword(s):  
Retrospective Cohort ◽  
Regression Models ◽  
Spontaneous Circulation ◽  
Ambulance Service ◽  
Logistic Regression Models ◽  
Cad System ◽  
Routinely Collected Data ◽  
Collection Period ◽  
The Impact ◽  
Hospital Cardiac Arrest

<h3>Study aim</h3><p>This study aims to determine the impact of the red arrest teams (RATs) on survival to 30 days and return of spontaneous circulation (ROSC) at hospital.</p><h3>Methods</h3><p class="FirstParagraph">A retrospective cohort study analysing routinely collected data was undertaken. All adult (≥18 years) OHCAs entered onto the YAS computer aided dispatch (CAD) system between the 1st October, 2015 and 30th September, 2017 were included if the patient was resuscitated, and the cause of the arrest was considered to be medical in origin. Multivariable logistic regression models were created to enable adjustment for common predictors of survival and ROSC.</p><h3>Results</h3><p>During the 2-year data collection period, 15,151 cardiac arrests that were attended by Yorkshire Ambulance Service. After removing ineligible cases, 5,868 cardiac arrests remained. RATs attended 2,000/5,868 (34.1%) incidents, with each RAT attending a median of 13 cardiac arrests (IQR 7–23, minimum 1, maximum 78).</p><p class="FirstParagraph">The adjusted odds ratios suggest that a RAT on scene is associated with a slight increase in the odds of survival to 30 days (OR 1.01, 95%CI 0.74–1.38) and odds of ROSC on arrival at hospital (OR 1.13, 95%CI 0.99–1.29), compared to the odds of not having a RAT present, although neither results are statistically significant.</p><h3>Conclusion</h3><p class="FirstParagraph">The presence of a RAT paramedic was associated with a small increase in survival to 30 days and ROSC on arrival at hospital, although neither were statistically significant. Larger prospective studies are required to determine the effect of roles such as RAT on outcomes from OHCA</p>

Abstract P122: The Impact of Center Certification Status on Acute Stroke Care Within a Multi-Hospital System in Western United States

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Radoslav I Raychev ◽  
CrystalAnn Moreno ◽  
Leslie Corless ◽  
Jason W Tarpley ◽  
John F Zurasky ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Clinical Outcome ◽  
Regression Models ◽  
Process Of Care ◽  
Chi Square ◽  
Hospital System ◽  
Logistic Regression Models ◽  
Stroke Center ◽  
The Impact ◽  
Iv Tpa

Introduction: We aimed to investigate the impact of certification status on process of care metrics and clinical outcome in a large multi-center hospital system. Methods: We analyzed data obtained from the Providence Stroke Registry between January 2016 and December 2019. Key process of care metrics and clinical outcome were compared among patients with a discharge diagnosis of stroke and stratified based on site certification: comprehensive stroke center (CSC), thrombectomy-capable stroke center (TSC), primary stroke center (PSC) and no certification (NC). Donner’s adjusted chi-square tests were used to compare proportions for each metric grouped by certification. Generalized linear mixed effects logistic regression models were used to adjust for mode of patient arrival, age, sex, admit NIHSS, and medical history. Results: Data included 45,278 patients. Results from the analyses are summarized in the table. Donner’s adjusted chi-square analyses showed significant differences for metrics across certification groups. Results from the logistic regression models indicated significant differences in IV TPA and EVT treatment, as well as IV TPA treatment times across certification groups. There were no significant differences between TSC and CSC. Conclusions: Patients presenting with acute ischemic stroke at NC and PSC were significantly less likely to receive IV TPA or EVT with significantly less efficient IV tPA treatment times as compared to CSC. However, CSC and TSC sites performed similarly.

Innovation in the aftermath of downsizing: evidence from the threat-rigidity perspective

2020 ◽  
Vol 49 (9) ◽  
pp. 1859-1877
Author(s):  
José Fernández-Menéndez ◽  
Óscar Rodríguez-Ruiz ◽  
José-Ignacio López-Sánchez ◽  
María Isabel Delgado-Piña
Keyword(s):  
Regression Models ◽  
Negative Impact ◽  
Content Type ◽  
Logistic Regression Models ◽  
Marketing Innovation ◽  
Different Types ◽  
Threat Rigidity ◽  
The Impact ◽  
Research Show ◽  
Innovation Outcomes

PurposeThe purpose of this paper is to study how job reductions affect product innovation and marketing innovation in a sample of 2,034 Spanish manufacturing firms in the period 2007–2014.Design/methodology/approachPoisson and logistic regression models with random effects were used to analyse the impact of downsizing on some innovation outcomes of firms.FindingsThe results of this research show that the stressful measure of job reductions may have unexpected consequences, stimulating innovation. However downsizing combined with radical organisational changes such as new equipment, techniques or processes seems to have a negative impact on product and marketing innovation.Originality/valueThis research has two original features. First, it explores the unconventional direction of causality from the planned elimination of jobs to innovation outputs. Secondly, the paper looks at the combined effect of downsizing and other restructuring measures on different types of innovation. Following the threat-rigidity theory, we assume that this combination represents a major threat for survivors that leads to lower levels of product and marketing innovation.

scholarly journals Diet Quality Measured by Healthy Eating Index-2015 is Inversely Associated with Depression: NHANES 2011–2014

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 568-568 ◽  
Author(s):  
St John Katherine ◽  
David Gee
Keyword(s):  
Logistic Regression ◽  
Depressive Symptoms ◽  
Healthy Eating ◽  
Diet Quality ◽  
Total Protein ◽  
Regression Models ◽  
Healthy Eating Index ◽  
Added Sugar ◽  
Logistic Regression Models ◽  
Sugar Intake

Abstract Objectives The purpose of this study was to assess the relationship between diet quality and self-reported depressive symptoms in a nationally representative sample of the U.S. population. Methods A total of 8448 adults over the age of 20 were included in this study. Dietary data were based on 24-hour diet recalls and diet quality was measured using the USDA Healthy Eating Index (HEI)-2015. Symptoms of depression were assessed by trained interviewers using the Patient Health Questionnaire-9 (PHQ-9). Logistic regression models determined whether HEI-2015 scores differed between depressed and non-depressed adults after controlling for age, gender, poverty income ratio, and body mass index. Additional logistic regression models examined the association of HEI-2015 diet components and risk of depression. Results The overall prevalence of depression in this sample was 9.3%. Rates of depression were higher among women, middle-aged adults, obese subjects, and those of lower socioeconomic status. Compared to non-depressed adults (n = 7665), depressed adults (n = 783) had a lower total HEI-2015 score. HEI-2015 score was significantly (P &lt; 0.001) and inversely associated with depressive symptoms, both before and after adjusting for covariates. Greater intake of whole fruit, total protein, and lower added sugar intake was associated with a reduced risk of depression. Conclusions Dietitians should be aware that depressed patients may be consuming less-optimal diets than the non-depressed population and should assess diet quality. Lower intakes of whole fruit, total protein, and higher added sugar intake in particular may be prevalent in those with depressive symptoms. All health professionals should encourage a better balanced diet, and a diet pattern that adheres to the 2015–2020 DGA should be promoted for overall health. Funding Sources Central Washington University.

scholarly journals The impact of demographic, clinical, genetic, and imaging variables on tau PET status

2020 ◽  
Author(s):  
Rik Ossenkoppele ◽  
◽  
Antoine Leuzy ◽  
Hanna Cho ◽  
Carole H. Sudre ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Cortical Thickness ◽  
Regression Models ◽  
Neurodegenerative Disorder ◽  
Amyloid Β ◽  
Binary Logistic Regression ◽  
Clinical Genetic ◽  
Logistic Regression Models ◽  
Tau Pet ◽  
The Impact

Abstract Purpose A substantial proportion of amyloid-β (Aβ)+ patients with clinically diagnosed Alzheimer’s disease (AD) dementia and mild cognitive impairment (MCI) are tau PET–negative, while some clinically diagnosed non-AD neurodegenerative disorder (non-AD) patients or cognitively unimpaired (CU) subjects are tau PET–positive. We investigated which demographic, clinical, genetic, and imaging variables contributed to tau PET status. Methods We included 2338 participants (430 Aβ+ AD dementia, 381 Aβ+ MCI, 370 non-AD, and 1157 CU) who underwent [18F]flortaucipir (n = 1944) or [18F]RO948 (n = 719) PET. Tau PET positivity was determined in the entorhinal cortex, temporal meta-ROI, and Braak V-VI regions using previously established cutoffs. We performed bivariate binary logistic regression models with tau PET status (positive/negative) as dependent variable and age, sex, APOEε4, Aβ status (only in CU and non-AD analyses), MMSE, global white matter hyperintensities (WMH), and AD-signature cortical thickness as predictors. Additionally, we performed multivariable binary logistic regression models to account for all other predictors in the same model. Results Tau PET positivity in the temporal meta-ROI was 88.6% for AD dementia, 46.5% for MCI, 9.5% for non-AD, and 6.1% for CU. Among Aβ+ participants with AD dementia and MCI, lower age, MMSE score, and AD-signature cortical thickness showed the strongest associations with tau PET positivity. In non-AD and CU participants, presence of Aβ was the strongest predictor of a positive tau PET scan. Conclusion We identified several demographic, clinical, and neurobiological factors that are important to explain the variance in tau PET retention observed across the AD pathological continuum, non-AD neurodegenerative disorders, and cognitively unimpaired persons.

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