scholarly journals Trends in Covid-19 hospital mortality in women and men

2021 ◽  
Author(s):  
Luis Ayerbe ◽  
Carlos Risco-Risco ◽  
Diego Martinez-Urbistondo ◽  
Maria Elena Caro-Tinoco ◽  
Salma Ayis
Keyword(s):  
Regression Models ◽  
Scientific Evidence ◽  
Future Research ◽  
Mortality Data ◽  
First Year ◽  
Multivariate Logistic Regression ◽  
Medical Outcomes ◽  
Logistic Regression Models ◽  
Time Of Admission

Introduction: It remains unclear if the development of health services, clinical management, and scientific evidence, during the pandemic is associated with better medical outcomes, sustained in the long term, for Covid-19 patients of each gender. This study presents the trends in mortality associated with Covid-19 for women and men during the first year of the pandemic. Methods: This study was based in 17 Spanish hospitals. Sociodemographic, clinical, and mortality data from all patients with Covid-19, who had been discharged alive, or had died after being admitted, between March 2020 and February 2021, were used. The association between time of admission and mortality was examined with multivariate logistic regression models. Results: 3390 Covid-19 patients were included in the study, of which 1330 were women, the age was M(SD): 66.55(16.55) Death was reported for 451 patients. There was a significant decreasing trend in mortality by time of admission for the whole year with an OR: 0.86(0.77-0.96) p=0.005. No significant trend in mortality for women was observed OR: 1.00(0.85-1.19) p=0.959, while there was a significant decreasing trend for men OR: 0.78 (0.68-0.90) p=0.001 Discussion: The health policies put in place, the scientific evidence developed by researchers, and the experienced acquired by clinicians, are likely to explain this improvement in mortality. More epidemiological and clinical studies addressing trends of mortality in patients with different sociodemographic and clinical profile and the improvement of clinical outcomes are required. Future research may address the safety and efficacy of interventions specifically in female patients.

scholarly journals Unclassified drug overdose deaths in the opioid crisis: emerging patterns of inequity

2019 ◽  
Vol 26 (8-9) ◽  
pp. 767-777 ◽  
Author(s):  
Andrew J Boslett ◽  
Alina Denham ◽  
Elaine L Hill ◽  
Meredith C B Adams
Keyword(s):  
Regression Models ◽  
Mortality Data ◽  
Specific Drug ◽  
Opioid Epidemic ◽  
Multivariate Logistic Regression ◽  
Economic Disparities ◽  
Logistic Regression Models ◽  
Opioid Crisis ◽  
Overdose Mortality ◽  
Overdose Deaths

Abstract Objective Examine whether individual, geographic, and economic phenotypes predict missing data on specific drug involvement in overdose deaths, manifesting inequities in overdose mortality data, which is a key data source used in measuring the opioid epidemic. Materials and Methods We combined national data sources (mortality, demographic, economic, and geographic) from 2014–2016 in a multi-method analysis of missing drug classification in the overdose mortality records (as defined by the use of ICD-10 T50.9 on death certificates). We examined individual disparities in decedent-level multivariate logistic regression models, geographic disparities in spatial analysis (heat maps), and economic disparities in a combination of temporal trend analyses (descriptive statistics) and both decedent- and county-level multivariate logistic regression models. Results Our analyses consistently found higher rates of unclassified overdoses in decedents of female gender, White race, non-Hispanic ethnicity, with college education, aged 30–59 and those from poorer counties. Despite the fact that unclassified drug overdose death rates have reduced over time, gaps persist between the richest and poorest counties. There are also striking geographic differences both across and within states. Discussion Given the essential role of mortality data in measuring the scale of the opioid epidemic, it is important to understand the individual and community inequities underlying the missing data on specific drug involvements. Knowledge of these inequities could enhance our understanding of the opioid crisis and inform data-driven interventions and policies with more equitable resource allocations. Conclusion Multiple individual, geographic, and economic disparities underlie unclassified overdose deaths, with important implications for public health informatics and addressing the opioid crisis.

scholarly journals COVID-19 Preventive Behaviours in Cameroon: A Six-Month Online National Survey

2021 ◽  
Vol 18 (5) ◽  
pp. 2554
Author(s):  
Joseph Nelson Siewe Fodjo ◽  
Leonard Ngarka ◽  
Wepnyu Y. Njamnshi ◽  
Leonard N. Nfor ◽  
Michel K. Mengnjo ◽  
...  
Keyword(s):  
Regression Models ◽  
Health Personnel ◽  
Online Survey ◽  
Preventive Measures ◽  
Face Mask ◽  
Logistic Regression Models ◽  
Adherence Score ◽  
Preventive Behaviour ◽  
Predictors Of Adherence

Since March 2020, the Cameroonian government implemented nationwide measures to stall COVID-19 transmission. However, little is known about how well these unprecedented measures are being observed as the pandemic evolves. We conducted a six-month online survey to assess the preventive behaviour of Cameroonian adults during the COVID-19 outbreak. A five-point adherence score was constructed based on self-reported observance of the following preventive measures: physical distancing, face mask use, hand hygiene, not touching one’s face, and covering the mouth when coughing or sneezing. Predictors of adherence were investigated using ordinal logistic regression models. Of the 7381 responses received from all ten regions, 73.3% were from male respondents and overall mean age was 32.8 ± 10.8 years. Overall mean adherence score was 3.96 ± 1.11 on a scale of 0–5. Mean weekly adherence scores were initially high, but gradually decreased over time accompanied by increasing incidence of COVID-19 during the last study weeks. Predictors for higher adherence included higher age, receiving COVID-19 information from health personnel, and agreeing with the necessity of lockdown measures. Meanwhile, experiencing flu-like symptoms was associated with poor adherence. Continuous observance of preventive measures should be encouraged among Cameroonians in the medium- to long-term to avoid a resurgence in COVID-19 infections.

scholarly journals Early High-dose Caffeine Improves Respiratory Outcomes in Preterm Infants

Children ◽  
2021 ◽  
Vol 8 (6) ◽  
pp. 501
Author(s):  
Vineet Lamba ◽  
Oscar Winners ◽  
Prem Fort
Keyword(s):  
Mechanical Ventilation ◽  
Preterm Infants ◽  
Regression Models ◽  
High Dose ◽  
Long Term Outcomes ◽  
Logistic Regression Models ◽  
Caffeine Citrate ◽  
Timing Of Initiation ◽  
Respiratory Outcomes

The objective of the study is to determine if early high-dose caffeine (HD) therapy is associated with shorter duration of mechanical ventilation, bronchopulmonary dysplasia (BPD), or decreased need for mechanical ventilation. We conducted a single center, retrospective cohort study of 273 infants less than 32 weeks gestational age (GA). Infants receiving early HD (10 mg/kg/day maintenance) caffeine citrate started within 24 h of life were compared with those receiving LD (6 mg/kg/day) with variable timing of initiation using linear and logistic regression models. The infants in the early HD group had 91.4 (95% confidence interval (CI): −166.6, −16.1; p = 0.018) less hours of mechanical ventilation up to 36 weeks PMA or discharge as compared with the LD group. Moreover, infants in the HD group had 0.37 (95% CI: 0.14, 0.97; p = 0.042) times lower odds of developing moderate/severe BPD compared with the LD group. Infants receiving early HD caffeine had improved respiratory outcomes with no increase in measured comorbidities. Large prospective studies are needed to determine the long-term outcomes of using high-dose caffeine prophylaxis for preterm infants.

Child awareness of and access to cigarettes: impacts of the point-of-sale display ban in England

2018 ◽  
Vol 28 (5) ◽  
pp. 526-531 ◽  
Author(s):  
Anthony A Laverty ◽  
Eszter Panna Vamos ◽  
Christopher Millett ◽  
Kiara C-M Chang ◽  
Filippos T Filippidis ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Drug Use ◽  
Regression Models ◽  
Multivariate Logistic Regression ◽  
Tobacco Advertising ◽  
Point Of Sale ◽  
Logistic Regression Models ◽  
Annual Survey ◽  
Perceived Difficulty ◽  
Ease Of Access

IntroductionEngland introduced a tobacco display ban for shops with >280 m2 floor area (‘partial ban’) in 2012, then a total ban in 2015. This study assessed whether these were linked to child awareness of and access to cigarettes.MethodsData come from the Smoking, Drinking and Drug Use survey, an annual survey of children aged 11–15 years for 2010–2014 and 2016. Multivariate logistic regression models assessed changes in having seen cigarettes on display, usual sources and ease of access to cigarettes in shopsResultsDuring the partial display ban in 2012, 89.9% of children reported seeing cigarettes on display in the last year, which was reduced to 86.0% in 2016 after the total ban (adjusted OR 0.58, 95% CI 0.50 to 0.66). Reductions were similar in small shops (84.1% to 79.3%)%) and supermarkets (62.6% to 57.3%)%). Although the ban was associated with a reduction in the proportion of regular child smokers reporting that they bought cigarettes in shops (57.0% in 2010 to 39.8% in 2016), we did not find evidence of changes in perceived difficulty or being refused sale among those who still did.DiscussionTobacco point-of-sale display bans in England reduced the exposure of children to cigarettes in shops and coincided with a decrease in buying cigarettes in shops. However, children do not report increased difficulty in obtaining cigarettes from shops, highlighting the need for additional measures to tackle tobacco advertising, stronger enforcement of existing laws and measures such as licencing for tobacco retailers.

Abstract TP321: Is Weekend Admission Associated With Increased 30-day Stroke Mortality? The Effect of Adjustment Using a Claims-Based Stroke Severity Index

Stroke ◽  
2016 ◽  
Vol 47 (suppl_1) ◽  
Author(s):  
Cheng-Yang Hsieh ◽  
Sheng-Feng Sung
Keyword(s):  
Logistic Regression ◽  
Regression Models ◽  
Severity Index ◽  
Case Mix ◽  
Stroke Severity ◽  
Stroke Mortality ◽  
Multivariate Logistic Regression ◽  
Stroke Patients ◽  
Logistic Regression Models ◽  
Case Mix Adjustment

Introduction: Whether weekend admission is associated with increased stroke mortality in Taiwan remains uncertain, partly because of an inadequate case-mix adjustment in other studies using an insurance claims databases. Hypothesis: Adding the 7-item claims-based stroke severity index (SSI) to a multivariate logistic regression model might alter the analysis of the effect of weekend admission on 30-day stroke mortality. Methods: We identified, in the Taiwan Longitudinal Health Insurance Database, which is linked with the National Death Registry, patients hospitalized for acute ischemic stroke between 2001 and 2013. The primary outcome was mortality 30 days post-admission. In base logistic regression models with and without the SSI, we tested the odds ratio (OR) of 30-day mortality in patient admitted on weekends using the covariates of age, sex, year of admission, Charlson’s comorbidity index, brain surgery, physician specialty and surgical volume, hospital ownership, accreditation, and patient volume. Results: We analyzed 46,007 consecutive hospitalized stroke patients (mean age: 68.8 ± 12.0 years; male: 59%), with an SSI of 7.5 ± 5.3 (range: 4.1-27.1), 23.0% were admitted on the weekend, and 4.2% died within 30 days. Patients who died within 30 days were more likely to have been admitted on a weekend (4.9% vs. 4.0%, p < 0.001). Nevertheless, patients admitted on a weekend had a higher SSI than those admitted on a weekday (7.8 vs. 7.4, p < 0.001). In multivariate logistic regression models, weekend admission was associated with 30-day mortality (OR: 1.22, 95% CI: 1.10-1.35) in the base model but not in the base model plus SSI (OR: 1.07, 95% CI: 0.95-1.20). Conclusions: We confirmed that, after stroke severity had been adjust by adding the SSI, weekend admission did not increase the 30-day mortality of stroke patients in Taiwan. A case-mix adjustment in comparative outcome studies of stroke patients is important when using an insurance claims database.

scholarly journals Prevalence of Cognitive Frailty, Do Psychosocial-Related Factors Matter?

2020 ◽  
Vol 10 (12) ◽  
pp. 968
Author(s):  
Esperanza Navarro-Pardo ◽  
David Facal ◽  
María Campos-Magdaleno ◽  
Arturo X. Pereiro ◽  
Onésimo Juncos-Rabadán
Keyword(s):  
Regression Models ◽  
Well Being ◽  
Preventive Interventions ◽  
Psychosocial Variables ◽  
Multivariate Logistic Regression ◽  
Related Factors ◽  
Cognitive Frailty ◽  
Logistic Regression Models ◽  
Affective Factors ◽  
High Prevalence

Cognitive frailty (CF) is a topic of growing interest with implications for the study of preventive interventions in aging. Nevertheless, little research has been done to assess the influence of psychosocial variables on the risk of CF. Our objectives were to estimate the prevalence of CF in a Spanish sample and to explore the influence of psychosocial variables in this prevalence. Physical frailty and cognitive, functional, psychosocial, and socio-demographic aspects were assessed in a sample of 285 participants over 60 years. Univariate and multivariate logistic regression models were carried out. A prevalence of 21.8% (95% CI 17.4–26.9) was established when both frail and pre-frail conditions were included, and a prevalence of 3.2% (95% CI 1.7–5.9) if only frail individuals were considered. Age, educational level, profession and psychological well-being variables significantly predicted CF. Frailty and pre-frailty are high-prevalence health conditions in older adults influenced by socio-demographic, socio-educative and affective factors.

Forced Sexual Victimization Among Youth in Custody: Do Risk Factors Vary by Gender and Perpetrator?

2019 ◽  
Vol 100 (2) ◽  
pp. 151-172
Author(s):  
Eileen M. Ahlin
Keyword(s):  
Risk Factors ◽  
Gender Differences ◽  
Logistic Regression ◽  
National Survey ◽  
Regression Models ◽  
Sexual Victimization ◽  
Multivariate Logistic Regression ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
Using Data

There is relatively little literature examining risk factors associated with sexual victimization among youth in custody. The current study explored whether risk of forced sexual victimization among youth in custody differs by gender or perpetrator. Using data from a sample of 8,659 youth who participated in the National Survey of Youth in Custody, multivariate logistic regression models were employed to investigate gender differences in risk factors associated with overall forced sexual victimization and staff-on-inmate and inmate-on-inmate forced sexual victimization. Findings suggest that gender differences are more pronounced when perpetrator type is considered.

E-cigarette use among US adolescents: Perceptions of relative addiction and harm

2016 ◽  
Vol 76 (3) ◽  
pp. 293-301 ◽  
Author(s):  
Page Daniel Dobbs ◽  
Bart Hammig ◽  
Leah Jean Henry
Keyword(s):  
High School Students ◽  
Grade Level ◽  
Regression Models ◽  
Cigarette Use ◽  
Multivariate Logistic Regression ◽  
School Students ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Cross Sectional Design ◽  
People’S Perceptions

Objective: Between 2013 and 2014, past 30-day use of e-cigarettes increased from 4.5% to 13.4% among US high school students aged 9–19 years. We sought to examine the influence of perceived addiction and harm of e-cigarettes on e-cigarette use among adolescents. Design: Self-reported use and perception of harm of e-cigarettes were assessed using a cross-sectional design. Setting: Data were collected from the 2014 National Youth Tobacco Survey. Method: Multivariate logistic regression models were employed regressing lifetime e-cigarette use and past 30-day use on established covariate factors. Results: Perceiving e-cigarettes as less harmful than conventional cigarettes increased students’ odds of lifetime use (odds ratio [ OR] = 2.40, 95% confidence interval [ CI] = 1.98–2.90) and past 30-day use ( OR = 2.18, 95% CI = 1.63–2.92) of e-cigarettes. Perceiving e-cigarettes as less addictive than conventional cigarettes also increased students’ odds of lifetime use ( OR = 2.11, 95% CI = 1.82–2.45) and past 30-day use ( OR = 1.93, 95% CI = 1.57–2.38) of e-cigarettes; however, perceiving e-cigarettes as more addictive than conventional cigarettes also increased students’ odds of lifetime use ( OR = 1.85, 95% CI = 1.37–2.49) and past 30-day use ( OR = 2.68, 95% CI = 1.84–3.90) of e-cigarettes. Other influencing factors of e-cigarette use among youth included race, grade level, living with a smoker and lifetime use of regular cigarettes. Conclusion: The perception that e-cigarettes are less addictive and harmful than their conventional counterparts may be an important risk factor for the use of e-cigarettes. Factors influencing young people’s perceptions need to be examined further.

Cultural Links to Adolescent Weapon Carrying and Weapon Use

2017 ◽  
Vol 28 (2) ◽  
pp. 118-135
Author(s):  
Lacey N. Wallace
Keyword(s):  
Regression Models ◽  
Age Of Onset ◽  
Self Report ◽  
Future Research ◽  
Weapon Carrying ◽  
Logistic Regression Models ◽  
Ordered Logistic Regression ◽  
Contextual Determinants ◽  
Practical Implications ◽  
Cross National

Although existing cross-cultural studies of adolescence have focused on topics including fighting, bullying, and gangs, little cross-national research has centered on weapon carrying. However, weapon carrying among youth has been identified as a worldwide concern, with significant variation by nation and region. This variation is not well understood. This article investigates the nation-level cultural and contextual determinants of adolescent weapon carrying, specifically focusing on human development, governmental corruption, and a nation’s orientation toward violence. Data are drawn from 27 countries in the International Self-Report Delinquency Study, Wave Two. Analyses use multilevel logistic and ordered logistic regression models to assess associations with weapon carrying frequency, likelihood of carrying a weapon with friends, and age of weapon carrying onset. Results show that residing in a nation with less corruption is associated with a decrease in weapon carrying frequency, a later age of onset, and a lower likelihood of carrying a weapon with friends. Mixed results were found for interactions with a nation’s orientation toward violence. Possible explanations for these results, practical implications, and directions for future research are discussed.

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