Lancaster General Hospital

About: Lancaster General Hospital is a healthcare organization based out in Lancaster, Pennsylvania, United States. It is known for research contribution in the topics: Population & Health care. The organization has 310 authors who have published 345 publications receiving 11626 citations.

Self-Efficacy and the Stages of Exercise Behavior Change

Abstract: This study examined the application of constructs concerning stage of readiness to change and self-efficacy to exercise. We developed two scales to measure stages of change for exercise behavior. Prevalence information on a sample of 1,063 government employees and 429 hospital employees was then obtained. Next, the ability of a questionnaire measuring exercise self-efficacy to differentiate employees according to stage of readiness to change was tested. Results from both stages-of-change scales revealed that 34–39% of employees were regularly participating in physical activity. Scores on efficacy items significantly differentiated employees at most stages. Results indicated employees who had not yet begun to exercise, in contrast with those who exercised regularly, had little confidence in their ability to exercise. Continued work at understanding the stages of exercise behavior and exercise self-efficacy could yield important information for enhancing exercise adoption and adherence.

Investigations of caspr2, an autoantigen of encephalitis and neuromyotonia.

Abstract: Objective To report clinical and immunological investigations of contactin-associated protein-like 2 (Caspr2), an autoantigen of encephalitis and peripheral nerve hyperexcitability (PNH) previously attributed to voltage-gated potassium channels (VGKC).

Genetic mapping and exome sequencing identify variants associated with five novel diseases.

Abstract: The Clinic for Special Children (CSC) has integrated biochemical and molecular methods into a rural pediatric practice serving Old Order Amish and Mennonite (Plain) children. Among the Plain people, we have used single nucleotide polymorphism (SNP) microarrays to genetically map recessive disorders to large autozygous haplotype blocks (mean = 4.4 Mb) that contain many genes (mean = 79). For some, uninformative mapping or large gene lists preclude disease-gene identification by Sanger sequencing. Seven such conditions were selected for exome sequencing at the Broad Institute; all had been previously mapped at the CSC using low density SNP microarrays coupled with autozygosity and linkage analyses. Using between 1 and 5 patient samples per disorder, we identified sequence variants in the known disease-causing genes SLC6A3 and FLVCR1, and present evidence to strongly support the pathogenicity of variants identified in TUBGCP6, BRAT1, SNIP1, CRADD, and HARS. Our results reveal the power of coupling new genotyping technologies to population-specific genetic knowledge and robust clinical data.