scholarly journals Association betweenHelicobacter pyloriinfection and tumor markers: an observational retrospective study

BMJ Open ◽  
2018 ◽  
Vol 8 (8) ◽  
pp. e022374
Author(s):  
Mei-Yan Xu ◽  
Bing Cao ◽  
Yan Chen ◽  
Natalie Musial ◽  
Shuai Wang ◽  
...  
Keyword(s):  
Retrospective Study ◽  
Regression Models ◽  
Linear Models ◽  
Tumour Markers ◽  
Cancer Antigen ◽  
Generalised Linear Models ◽  
Logistic Regression Models ◽  
H Pylori ◽  
The Relationship ◽  
Beijing China

ObjectiveHelicobacter pyloriinfection is a major cause of several cancers such as gastric, pancreatic and lung. The relationship betweenH. pyloriand tumour markers continues to remain unclear. The primary goal of this study is to clarify the associations betweenH. pyloriinfection and six tumour markers (ie, carcinoembryonic antigen (CEA), cancer antigen (CA) 153, CA199, CA724, CA125 and alpha-fetoprotein (AFP)). The secondary goal is to provide understanding for further research aboutH. pyloriinfection and gastrointestinal cancer.DesignObservational retrospective study.SettingThe study was performed in Beijing, China, where enrolled subjects had all passed health examinations during the period of 2012–2016. Subjects were categorised intoH. pylori(+) andH. pylori(–) group according to their infection status and the measured six biomarkers. We used logistic regression models and generalised linear models to explore the associations betweenH. pyloriinfection and six tumour markers (ie, CEA, CA153, CA199, CA724, CA125 and AFP).ParticipantsA total of 14 689 subjects were included and 6493 (44.2%) subjects were infected byH. pylori. The subjects had a mean age (1SD) of 45 (18) years. There were 4530 (31.0%) female subjects.ResultsAfter adjusting for the confounding factors, infections withH. pyloriwere found to be significantly associated with abnormal ratios in CEA, AFP and CA724 ofH. pylori(+) toH. pylori(–) groups. Significant positive correlation was found betweenH. pyloriinfection and CEA values (adjusted β=0.056; 95% CI 0.005 to 0.107; p=0.033).ConclusionsIn this observational retrospective study, we observed theH. pyloriinfections in a Chinese population and found higher CEA level inH. pylori-infected subjects and abnormal ratios in CEA, AFP and CA724 in infected subjects to uninfected subjects. These findings may provide a basis for future exploration withH. pyloriand tumour markers.

785 Reported Restful Sleep Predicting Emotional Distress: Does Exercise (and its modalities) moderate?

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A305-A306
Author(s):  
Jesse Moore ◽  
Ellita Williams ◽  
Collin Popp ◽  
Anthony Briggs ◽  
Judite Blanc ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Aerobic Exercise ◽  
Regression Models ◽  
Regression Analyses ◽  
Logistic Regression Models ◽  
The Past ◽  
Strengthening Exercise ◽  
Waking Up ◽  
The Relationship ◽  
Age And Sex

Abstract Introduction Literature shows that exercise moderates the relationship between sleep and emotional distress (ED.) However, it is unclear whether different types of exercise, such as aerobic and strengthening, affect this relationship differently. We investigated the moderating role of two types of exercise (aerobic and strengthening) regarding the relationship between ED and sleep. Methods Our analysis was based on data from 2018 National Health Interview Survey (NHIS), a nationally representative study in which 2,814 participants provided all data. Participants were asked 1) “how many days they woke up feeling rested over the past week”, 2) the Kessler 6 scale to determine ED (a score >13 indicates ED), and 3) the average frequency of strengthening or aerobic exercise per week. Logistic regression analyses were performed to determine if the reported days of waking up rested predicted level of ED. We then investigated whether strengthening or aerobic exercise differentially moderated this relationship. Covariates such as age and sex were adjusted in the logistic regression models. Logistic regression analyses were performed to determine if subjective reporting of restful sleep predicted level of ED. We investigated whether strengthening exercise or aerobic exercise differentially moderated this relationship. Covariates such as age and sex were adjusted in the logistic regression models. Results On average, participants reported 4.41 restful nights of sleep (SD =2.41), 3.43 strengthening activities (SD = 3.19,) and 8.47 aerobic activities a week (SD=5.91.) We found a significant association between days over the past week reporting waking up feeling rested and ED outcome according to K6, Χ2(1) = -741, p= <.001. The odds ratio signified a decrease of 52% in ED scores for each unit of restful sleep (OR = .48, (95% CI = .33, .65) p=<.001.) In the logistic regression model with moderation, aerobic exercise had a significant moderation effect, Χ2(1) = .03, p=.04, but strengthening exercise did not. Conclusion We found that restful sleep predicted reduction in ED scores. Aerobic exercise moderated this relationship, while strengthening exercise did not. Further research should investigate the longitudinal effects of exercise type on the relationship between restful sleep and ED. Support (if any) NIH (K07AG052685, R01MD007716, K01HL135452, R01HL152453)

scholarly journals Bayonet-shaped language development in autism with regression: a retrospective study

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
David Gagnon ◽  
Abderrahim Zeribi ◽  
Élise Douard ◽  
Valérie Courchesne ◽  
Borja Rodríguez-Herreros ◽  
...  
Keyword(s):  
Language Development ◽  
Linear Models ◽  
Autism Spectrum ◽  
Early Language ◽  
Verbal Iq ◽  
Logistic Regression Models ◽  
Language Level ◽  
Language Outcome ◽  
Almost All ◽  
The Relationship

Abstract Background Language delay is one of the major referral criteria for an autism evaluation. Once an autism spectrum diagnosis is established, the language prognosis is among the main parental concerns. Early language regression (ELR) is observed by 10–50% of parents but its relevance to late language level and socio-communicative ability is uncertain. This study aimed to establish the predictive value of ELR on the progression of language development and socio-communicative outcomes to guide clinicians in addressing parents’ concerns at the time of diagnosis. Methods We used socio-communicative, language, and cognitive data of 2,047 autism spectrum participants from the Simons Simplex Collection, aged 4–18 years (mean = 9 years; SD = 3.6). Cox proportional hazard and logistic regression models were used to evaluate the effect of ELR on language milestones and the probability of using complex and flexible language, as defined by the choice of ADOS module at enrollment. Linear models were then used to evaluate the relationship of ELR and non-verbal IQ with socio-communicative and language levels. Results ELR is associated with earlier language milestones but delayed attainment of fluent, complex, and flexible language. However, this language outcome can be expected for almost all autistic children without intellectual disability at 18 years of age. It is mostly influenced by non-verbal IQ, not ELR. The language and socio-communicative level of participants with flexible language, as measured by the Vineland and ADOS socio-communicative subscales, was not affected by ELR. Limitations This study is based on a relatively coarse measure of ultimate language level and relies on retrospective reporting of early language milestones and ELR. It does not prospectively document the age at which language catches up, the relationship between ELR and other behavioral areas of regression, nor the effects of intervention. Conclusions For autistic individuals with ELR and a normal level of non-verbal intelligence, language development follows a “bayonet shape” trajectory: early first words followed by regression, a plateau with limited progress, and then language catch up.

Abstract 3775: Average Blood Glucose and Mortality in Patients Hospitalized with Acute Myocardial Infarction

Circulation ◽  
2007 ◽  
Vol 116 (suppl_16) ◽  
Author(s):  
Mikhail Kosiborod ◽  
Silvio Inzucchi ◽  
Harlan M Krumholz ◽  
Lan Xiao ◽  
Phillip G Jones ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Hospital Mortality ◽  
Regression Models ◽  
Independent Predictor ◽  
Laboratory Data ◽  
Logistic Regression Models ◽  
Average Blood Glucose ◽  
The Relationship ◽  
Multivariable Adjustment ◽  
Better Than

Background: Elevated blood glucose (BG) on admission is associated with higher mortality risk in patients (pts) hospitalized with AMI. However, the prognostic value of average BG, which reflects overall glycemic exposure much better than admission BG, is unknown. Furthermore, the nature of the relationship between average BG and mortality has not been determined. Methods: We evaluated a cohort of 16,871 AMI pts hospitalized from January 2000-December 2005, using Cerner Corporation’s Health Facts® database from 40 hospitals, which contains demographics, clinical and comprehensive laboratory data. Logistic regression models evaluated the nature of the relationship between mean BG during the entire AMI hospitalization and in-hospital mortality, after adjusting for multiple patient factors and confounders. Similar analyses were performed in subgroups of pts with and without diabetes (DM). Results: A J-shaped relationship was observed between mean BG and in-hospital mortality, which persisted after multivariable adjustment (Figure ). Mortality increased with each 10 mg/dL incremental rise in mean BG over >120 mg/dL, and with incremental decline in mean BG <80 mg/dL. The slope of these relationships was much steeper in pts without DM. Conclusions: Average BG during the entire AMI hospitalization is a powerful independent predictor of in-hospital mortality. Both persistent hyper- and hypoglycemia are associated with adverse prognosis. Whether strategies directed at optimizing BG control will improve survival remains to be established. Association Between Mean BG and In-Hospital Mortality After Multivariable Adjustment (Reference: Mean BG 100 to <110)

scholarly journals Patient-Reported Disease-Modifying Therapy Adherence in the Clinic: A Reliable Metric?

2018 ◽  
Vol 4 (2) ◽  
pp. 205521731877789 ◽  
Author(s):  
Devon S Conway ◽  
Maria Cecilia Vieira ◽  
Nicolas R Thompson ◽  
Kaila N Parker ◽  
Xiangyi Meng ◽  
...  
Keyword(s):  
Regression Models ◽  
Patient Reported Outcomes ◽  
Patient Reporting ◽  
Lesion Formation ◽  
Logistic Regression Models ◽  
Disease Modifying Therapy ◽  
Patient Reported ◽  
Relapsing Remitting ◽  
Disease Modifying ◽  
The Relationship

Background Adherence to multiple sclerosis (MS) disease-modifying therapy (DMT) is commonly assessed through patient reporting, but patient-reported adherence is rarely studied. Objective To determine rates of DMT adherence reported from patient to clinician, reasons for nonadherence, and relationships between adherence and outcomes. Methods We identified relapsing–remitting MS patients on DMT for ≥3 months. DMT adherence was defined as taking ≥80% of doses. Linear and logistic regression models were created used to determine the association of baseline adherence with several patient reported outcomes and the timed 25-foot walk at 6 months, 1 year, 2 years, and 3 years after the index visit. Results The analysis included 1148 patients, of whom 501 had data at 6 months, 544 at 1 year, 331 at 2 years, and 247 at 3 years. Baseline adherence was 94.9% and overall adherence was 93.1%. Forgetting was the most common reason for missed doses. In the adjusted models, adherence was not associated with the outcomes. Conclusions Higher than expected adherence and a lack of association between adherence and outcomes suggests patient reported adherence may not be reliable. Further research is needed to clarify the relationship between patient-reported adherence and relapses or new lesion formation.

Acute Medical Ward for better care coordination of patients admitted with infection – evidence from a tertiary hospital in Singapore

2017 ◽  
Vol 16 (4) ◽  
pp. 170-176
Author(s):  
Tharmmambal Balakrishnan ◽  
◽  
Pek Siang Edmund Teo ◽  
Wan Tin Lim ◽  
Xiao Hui Xin ◽  
...  
Keyword(s):  
Regression Models ◽  
Linear Models ◽  
Tertiary Hospital ◽  
General Ward ◽  
Medical Ward ◽  
South East Asia ◽  
Multivariate Models ◽  
Readmission Rates ◽  
Logistic Regression Models ◽  
Acute Admissions

Coordination and consolidation of care provided in acute care hospitals need reconfiguration and reorganization to meet the demand of large number of acute admissions. We report on the effectiveness of an Acute Medical Ward AMW (AMW) receiving cases that were suspected to have infection related diagnosis on admission by Emergency Department (ED), addressing this in a large tertiary hospital in South East Asia. Mean Length of Stay (LOS) was compared using Gamma Generalized Linear Models with Log-link while odds of readmissions and mortality were compared using logistic regression models. The LOS (mean: 5.8 days, SD: 9.1 days) of all patients admitted to AMW was similar to discharge diagnosis-matched general ward (GW) patients admitted before AMW implementation, readmission rates were lower (15-day: 5.3%, 30-day: 8.1%). Bivariate and multivariate models revealed that mean LOS after AMW implementation was not significantly different from before AMW implementation (Ratio: 0.99, p=0.473). Our AMW had reduced readmission rates for patients with infection but has not made an overall impact on the LOS and readmission rates for the epartment as a whole.

scholarly journals The association between body dysmorphic symptoms and suicidality among adolescents and young adults: a genetically informative study

2020 ◽  
pp. 1-9
Author(s):  
Georgina Krebs ◽  
Lorena Fernández de la Cruz ◽  
Frühling V. Rijsdijk ◽  
Daniel Rautio ◽  
Jesper Enander ◽  
...  
Keyword(s):  
Suicidal Ideation ◽  
Regression Models ◽  
Genetic Factors ◽  
Body Dysmorphic Disorder ◽  
Early Adulthood ◽  
Self Report ◽  
Logistic Regression Models ◽  
Substantial Risk ◽  
The Relationship ◽  
Report Measure

Abstract Background Previous research indicates that body dysmorphic disorder (BDD) is associated with risk of suicidality. However, studies have relied on small and/or specialist samples and largely focussed on adults, despite these difficulties commonly emerging in youth. Furthermore, the aetiology of the relationship remains unknown. Methods Two independent twin samples were identified through the Child and Adolescent Twin Study in Sweden, at ages 18 (N = 6027) and 24 (N = 3454). Participants completed a self-report measure of BDD symptom severity. Young people and parents completed items assessing suicidal ideation/behaviours. Logistic regression models tested the association of suicidality outcomes with: (a) probable BDD, classified using an empirically derived cut-off; and (b) continuous scores of BDD symptoms. Bivariate genetic models examined the aetiology of the association between BDD symptoms and suicidality at both ages. Results Suicidal ideation and behaviours were common among those with probable BDD at both ages. BDD symptoms, measured continuously, were linked with all aspects of suicidality, and associations generally remained significant after adjusting for depressive and anxiety symptoms. Genetic factors accounted for most of the covariance between BDD symptoms and suicidality (72.9 and 77.7% at ages 18 and 24, respectively), but with significant non-shared environmental influences (27.1 and 22.3% at ages 18 and 24, respectively). Conclusions BDD symptoms are associated with a substantial risk of suicidal ideation and behaviours in late adolescence and early adulthood. This relationship is largely explained by common genetic liability, but non-shared environmental effects are also significant and could provide opportunities for prevention among those at high-risk.

scholarly journals Associations of Plasma 3-Methylhistidine with Frailty Status in French Cohorts of the FRAILOMIC Initiative

2019 ◽  
Vol 8 (7) ◽  
pp. 1010 ◽  
Author(s):  
Bastian Kochlik ◽  
Wolfgang Stuetz ◽  
Karine Pérès ◽  
Catherine Féart ◽  
Jesper Tegner ◽  
...  
Keyword(s):  
Regression Models ◽  
Linear Models ◽  
Estimated Glomerular Filtration Rate ◽  
Community Dwelling ◽  
Functional Tests ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Frailty Status ◽  
Imaging Parameters ◽  
Frailty Criteria

Frailty and sarcopenia are characterized by a loss of muscle mass and functionality and are diagnosed mainly by functional tests and imaging parameters. However, more muscle specific biomarkers are needed to improve frailty diagnosis. Plasma 3-methylhistidine (3-MH), as well as the 3-MH-to-creatinine (3-MH/Crea) and 3-MH-to-estimated glomerular filtration rate (3-MH/eGFR) ratios might support the diagnosis of frailty. Therefore, we investigated the cross-sectional associations between plasma 3-MH, 3-MH/Crea and 3-MH/eGFR with the frailty status of community-dwelling individuals (>65 years). 360 participants from two French cohorts of the FRAILOMIC initiative were classified into robust, pre-frail and frail according to Fried’s frailty criteria. General linear models as well as bivariate and multiple linear and logistic regression models, which were adjusted for several confounders, were applied to determine associations between biomarkers and frailty status. The present study consisted of 37.8% robust, 43.1% pre-frail and 19.2% frail participants. Frail participants had significantly higher plasma 3-MH, 3-MH/Crea and 3-MH/eGFR ratios than robust individuals, and these biomarkers were positively associated with frailty status. Additionally, the likelihood to be frail was significantly higher for every increase in 3-MH (1.31-fold) and 3-MH/GFR (1.35-fold) quintile after adjusting for confounders. We conclude that 3-MH, 3-MH/Crea and 3-MH/eGFR in plasma might be potential biomarkers to identify frail individuals or those at higher risk to be frail, and we assume that there might be biomarker thresholds to identify these individuals. However, further, especially longitudinal studies are needed.

scholarly journals Low blood pressure and risk of depression in the elderly

2000 ◽  
Vol 176 (5) ◽  
pp. 464-467 ◽  
Author(s):  
Sabrina Paterniti ◽  
Marie-Hélène Verdier-Taillefer ◽  
Catherine Geneste ◽  
Jean-Claude Bisserbe ◽  
Annick Alpérovitch
Keyword(s):  
Blood Pressure ◽  
Regression Models ◽  
Depressive Symptomatology ◽  
The Elderly ◽  
Epidemiological Studies ◽  
Logistic Regression Models ◽  
Drinking Habits ◽  
Low Blood Pressure ◽  
The Relationship

BackgroundThe relationship between depression and low blood pressure is unclear.AimsTo examine the temporal relation between low blood pressure and depression in a two-year follow-up.MethodThe study group consisted of 1389 subjects aged 59–71 years; 1272 (92%) were examined after two years. Subjects completed the Center for Epidemiological Studies–Depression (CES–D) and the Spielberger inventory scales to assess depressive and anxiety symptoms respectively. Data were collected on socio-demographic characteristics, smoking and drinking habits, medical history, drug use and blood pressure measures.ResultsAmong 1112 subjects who were considered as non-depressed at baseline, logistic regression models showed that low diastolic blood pressure (DBP) and decrease of blood pressure were predictors of high depressive symptomatology at follow-up. Baseline high CES–D scores did not predict low blood pressure two years after.ConclusionsIn our study, low blood pressure was a risk factor for, but not a consequence of, high depressive symptomatology.

Do Demographic Factors Moderate How Well Criminal Thinking Predicts Recidivism?

2017 ◽  
Vol 62 (7) ◽  
pp. 2045-2062 ◽  
Author(s):  
Johanna B. Folk ◽  
Jeffrey B. Stuewig ◽  
Brandy L. Blasko ◽  
Michael Caudy ◽  
Andres G. Martinez ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Logistic Regression ◽  
Justice System ◽  
Regression Models ◽  
Demographic Factors ◽  
Jail Inmates ◽  
Criminal Thinking ◽  
Logistic Regression Models ◽  
Two Measures ◽  
The Relationship

Is the relationship between criminal thinking and recidivism the same for criminal justice–involved individuals from varying demographic backgrounds? Relying on two independent samples of offenders and two measures of criminal thinking, the current studies examined whether four demographic factors—gender, race, age, and education—moderated the relationship between criminal thinking and recidivism. Study 1 consisted of 226 drug-involved probationers enrolled in a randomized clinical trial. Study 2 consisted of 346 jail inmates from a longitudinal study. Logistic regression models suggested that the strength of the relationship between criminal thinking and subsequent recidivism did not vary based on participant demographics, regardless of justice system setting or measure of criminal thinking. Criminal thinking predicts recidivism similarly for people who are male, female, Black, White, older, younger, and more or less educated.

scholarly journals The relationship between spiritual health and social trust among students

2021 ◽  
Vol 8 (1) ◽  
pp. 100-107
Author(s):  
Farzin Rezaei ◽  
Hero Hassan ◽  
Arezoo Fallahi ◽  
Reza Gheshlagh ◽  
Shahram Sadeghi ◽  
...  
Keyword(s):  
Regression Models ◽  
Social Trust ◽  
Simple Random Sampling ◽  
Cross Sectional Study ◽  
Spiritual Health ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Iranian Students ◽  
The Relationship ◽  
The City

Social trust and spiritual health play an important role in social communication. The aim of this study was to determine the relationship between spiritual health and social trust among Iranian students. This cross-sectional study was conducted in the city of Sanandaj, in the West of Iran, in 2018. 686 students from 5 universities were included in the study through simple random sampling. The data were collected using established, reliable instruments for the assessment of social trust and spiritual health. Logistic regression models were applied to assess the association between social trust and spiritual health. We reported estimated logits and Odds Ratios (OR) with corresponding 95% confidence intervals (95% CI). The students with a literate father had substantially higher odds of social trust (OR=1.98, 95% CI=1.19-3.28, p<0.01). Also, similar findings were obtained for students with a literate mother compared to those with an illiterate mother (OR=2.09, 95% CI=1.33-3.28, p<0.01). The odds of social trust also increased with the father’s employment status (OR=13.06, 95% CI=4.16-41, p<0.01). The odds of social trust increased with religious health (OR=1.05, 95% CI=1.03-1.08, p<0.01). It is essential to increase spiritual health and the parents’ literacy to promote social trust among the students.

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