Ellisgolden2175

The aim of this study was to explore social engagement and social comparisons as mechanisms to increase physical activity among older adults.

Participants (N = 60, mean age = 65.7) were randomly assigned to one of two conditions. PD184352 in the treatment condition used the application to track their daily walking steps and interact via text messages with their group members for 4 weeks. Participants in the control group used the application only to track their own walking steps. Outcome variables included mean weekly steps, exercise self-efficacy, and social engagement.

The results revealed that participants in the experimental condition significantly increased their mean weekly steps and social engagement from the pretest to the posttest whereas the control group did not. #link# These effects were maintained at the 1-month follow up.

The study expands our understanding of the motivational role of social engagement and social comparison in increasing PA among older adults.

The study expands our understanding of the motivational role of social engagement and social comparison in increasing PA among older adults.

Readmission following total joint arthroplasty has become a closely watched metric for many hospitals in the United States due to financial penalties imposed by Centers for Medicare and Medicaid Services. The purpose of this study was to identify both preoperative and postoperative reasons for readmission within 30 days following primary total hip and total knee arthroplasty (TKA).

Retrospective data were collected for patients who underwent elective primary total hip arthroplasty (THA; CPT code 27130) and TKA (27447) from 2008 to 2013 at our institution. The sample was separated into readmitted and nonreadmitted cohorts. Demography, comorbidities, Charlson comorbidity index (CCI), operative parameters, readmission rates, and causes of readmission were compared between the groups using univariate and multivariate regression analysis.

There were 42 (3.4%) and 28 (2.2%) readmissions within 30 days for THA and TKA, respectively. The most common cause of readmission within 30 days following total joint arthroplasty was infection. Trauma was the second most common reason for readmission of a THA while wound dehiscence was the second most common cause for readmission following TKA. With univariate regression, there were multiple associated factors for readmission among THA and TKA patients, including body mass index, metabolic equivalent (MET), and CCI. Multivariate regression revealed that hospital length of stay was significantly associated with 30-day readmission after THA and TKA.

Patient comorbidities and preoperative functional capacity significantly affect 30-day readmission rate following total joint arthroplasty. Adjustments for these parameters should be considered and we recommend the use of CCI and METs in risk adjustment models that use 30-day readmission as a marker for quality of patient care.

Level III/Retrospective cohort study.

Level III/Retrospective cohort study.Substance use disorders (SUD) commonly co-occur with posttraumatic stress disorder (PTSD) symptoms, and the comorbidity is prevalent and difficult-to-treat. Few studies have objectively analyzed language use in psychotherapy as a predictor of treatment outcomes. We conducted a secondary analysis of patient language use during cognitive-behavioral therapy (CBT) in a randomized clinical trial, comparing a novel, integrated CBT for PTSD/SUD with standard CBT for SUD. Participants included 37 treatment-seeking, predominantly African-American adults with SUD and at least four symptoms of PTSD. We analyzed transcripts of a single, matched session across both treatment conditions, using the Linguistic Inquiry and Word Count (LIWC) program. The program measures language use across multiple categories. Compared to standard CBT for SUD, patients in the novel, integrated CBT for PTSD/SUD used more negative emotion words, partially consistent with our hypothesis, but less positive emotion words. Further, exploratory analyses indicated an association between usage of cognitive processing words and clinician-observed reduction in PTSD symptoms, regardless of treatment condition. Our results suggest that language use during therapy may provide a window into mechanisms active in therapy.

To report the changes in incidence and risk factors of retinopathy of prematurity (ROP) in extremely low birth weight (ELBW) infants over a 15-year period in South China.

The medical records of ELBW infants were retrospectively reviewed through established database of Shenzhen Screening for ROP Cooperative Group. The incidence and severity of ROP were compared among three successive 5-year periods (P1 2004-2008, P2 2009-2013, P3 2014-2018). Gestational age, birth weight, plurality, mode of delivery and gender were analyzed as risk factors for ROP in ELBW infants.

Among the 1099 included ELBW infants, 557 (50.7%) had ROP, and 328 (29.9%) had severe ROP. The highest incidence of ROP (87.5%) and severe ROP (82.5%) were seen in P1. From P2 to P3, the incidence of ROP and severe ROP increased from 45.9% to 50.3% for ROP (

<.05) and from 26.4% to 28.3% for severe ROP (

<.05), respectively. Multivariate logistic regression analysis found only gestational age has a significant effect on the incidence of ROP and severe ROP.

From 2004 to 2018, the incidence of ROP and severe ROP in ELBW infants in South China was 50.7% and 29.9%, respectively. Controlling for the other risk factors, only gestational age was statistically associated with ROP in ELBW infants.

From 2004 to 2018, the incidence of ROP and severe ROP in ELBW infants in South China was 50.7% and 29.9%, respectively. Controlling for the other risk factors, only gestational age was statistically associated with ROP in ELBW infants.

To identify Parkinson's disease (PD)-associated deregulated pathways and genes, to further elucidate the pathogenesis of PD.

Dataset GSE100054 was downloaded from the Gene Expression Omnibus, and differentially expressed genes (DEGs) in PD samples were identified. Functional enrichment analyses were conducted for the DEGs. The top 10 hub genes in the protein-protein interaction (PPI) network were screened out and used to construct a support vector machine (SVM) model. The expression of the top 10 genes was then validated in another dataset, GSE46129, and a clinical patient cohort.

A total of 333 DEGs were identified. The DEGs were clustered into two gene sets that were significantly enriched in 12 pathways, of which 8 were significantly deregulated in PD, including cytokine-cytokine receptor interaction, gap junction, and actin cytoskeleton regulation. The signature of the top 10 hub genes in the PPI network was used to construct the SVM model, which had high performance for predicting PD. Of the 10 genes,

,

,

, and

were independent risk factors of PD.