A Structural Analysis for Psychosocial Variables related to Sick Role Behavioral Compliance in Hemodialysis Patients

2016 ◽  
Vol 28 (4) ◽  
pp. 415 ◽  
Author(s):  
Young-Mun Cho
Keyword(s):  
Structural Analysis ◽  
Hemodialysis Patients ◽  
Sick Role ◽  
Psychosocial Variables ◽  
Behavioral Compliance

scholarly journals Relationships among Family Support, Medical Staff Support, Sick Role Behavior and Physiological Indicators in Hemodialysis Patients

2020 ◽  
Vol 20 (1) ◽  
pp. 24-32
Author(s):  
Young Ran Chae ◽  
Hyo Young Kang ◽  
Sun Hee Lee ◽  
Young Mi Jo ◽  
Hyun Ju Koo
Keyword(s):  
Weight Gain ◽  
Family Support ◽  
Medical Staff ◽  
Intervention Program ◽  
Hemodialysis Patients ◽  
Sick Role ◽  
Staff Support ◽  
Physiological Indicators ◽  
Role Behavior ◽  
Interdialytic Weight Gain

Background: Family support and medical staff support of hemodialysis patients are related to sick-role behavior, and sick-role behavior is related to physiological indicators such as interdialytic weight gain and control of potassium and phosphorus in the blood.Methods: The subjects were 139 hemodialysis patients. Data were collected on demographic and disease- related characteristics, social support (family support and medical staff support), sick-role behavior, and physiological indicators (interdialytic weight gain, blood potassium, and blood phosphorus).Results: Degrees of family support and medical staff support were both nearly 3.85 points, and sick-role behavior was 3.96 points. Family support (r=0.449, P<0.001) and medical staff support (r=0.421, P<0.001) were positively correlated with sick-role behavior, and sick-role behavior was inversely correlated with interdialytic weight gain (r=-0.218, P=0.010) and blood phosphorus (r=-0.170, P=0.045).Conclusions: The higher the degree of family support and medical staff support, the higher the degree of sick-role behavior. In addition, the higher the level of sick-role behavior, the lower the physiological indicators of interdialytic weight gain and blood phosphorus. Therefore, in order to improve sick-role behavior and physiological indicators, it is necessary to develop and apply an enhanced intervention program through family support and medical staff support.

Structural analysis of the surface-layer protein of spirillum serpens by high-resolution electron microscopy

1983 ◽  
Vol 41 ◽  
pp. 738-739
Author(s):  
W. H. Wu ◽  
R. M. Glaeser
Keyword(s):  
Electron Microscopy ◽  
Surface Layer ◽  
Structural Analysis ◽  
High Resolution ◽  
Low Dose ◽  
High Resolution Electron Microscopy ◽  
Optical Diffraction ◽  
Surface Layer Protein ◽  
Morphological Unit ◽  
Resolution Electron

Spirillum serpens possesses a surface layer protein which exhibits a regular hexagonal packing of the morphological subunits. A morphological model of the structure of the protein has been proposed at a resolution of about 25 Å, in which the morphological unit might be described as having the appearance of a flared-out, hollow cylinder with six ÅspokesÅ at the flared end. In order to understand the detailed association of the macromolecules, it is necessary to do a high resolution structural analysis. Large, single layered arrays of the surface layer protein have been obtained for this purpose by means of extensive heating in high CaCl2, a procedure derived from that of Buckmire and Murray. Low dose, low temperature electron microscopy has been applied to the large arrays.As a first step, the samples were negatively stained with neutralized phosphotungstic acid, and the specimens were imaged at 40,000 magnification by use of a high resolution cold stage on a JE0L 100B. Low dose images were recorded with exposures of 7-9 electrons/Å2. The micrographs obtained (Fig. 1) were examined by use of optical diffraction (Fig. 2) to tell what areas were especially well ordered.

RNA polymerase: Preparation and structural analysis of helical polymers

1984 ◽  
Vol 42 ◽  
pp. 152-153
Author(s):  
E. Loren Buhle ◽  
Pamela Rew ◽  
Ueli Aebi
Keyword(s):  
Structural Analysis ◽  
Rna Polymerase ◽  
Molecular Level ◽  
X Ray Diffraction ◽  
Helical Polymers ◽  
X Ray ◽  
E Coli ◽  
The Past ◽  
Ordered Arrays ◽  
Low Ionic Strength

While DNA-dependent RNA polymerase represents one of the key enzymes involved in transcription and ultimately in gene expression in procaryotic and eucaryotic cells, little progress has been made towards elucidation of its 3-D structure at the molecular level over the past few years. This is mainly because to date no 3-D crystals suitable for X-ray diffraction analysis have been obtained with this rather large (MW ~500 kd) multi-subunit (α2ββ'ζ). As an alternative, we have been trying to form ordered arrays of RNA polymerase from E. coli suitable for structural analysis in the electron microscope combined with image processing. Here we report about helical polymers induced from holoenzyme (α2ββ'ζ) at low ionic strength with 5-7 mM MnCl2 (see Fig. 1a). The presence of the ζ-subunit (MW 86 kd) is required to form these polymers, since the core enzyme (α2ββ') does fail to assemble into such structures under these conditions.

Interpreting HVEM of muscle-cell impulse networks

1992 ◽  
Vol 50 (1) ◽  
pp. 126-127
Author(s):  
Paul DeCosta ◽  
Kyugon Cho ◽  
Stephen Shemlon ◽  
Heesung Jun ◽  
Stanley M. Dunn
Keyword(s):  
Structural Analysis ◽  
Muscle Cell ◽  
Electron Micrographs ◽  
Relative Size ◽  
Automatic Classification ◽  
Nerve Fibers ◽  
Analysis Algorithm ◽  
Structural Networks

Introduction: The analysis and interpretation of electron micrographs of cells and tissues, often requires the accurate extraction of structural networks, which either provide immediate 2D or 3D information, or from which the desired information can be inferred. The images of these structures contain lines and/or curves whose orientation, lengths, and intersections characterize the overall network.Some examples exist of studies that have been done in the analysis of networks of natural structures. In, Sebok and Roemer determine the complexity of nerve structures in an EM formed slide. Here the number of nodes that exist in the image describes how dense nerve fibers are in a particular region of the skin. Hildith proposes a network structural analysis algorithm for the automatic classification of chromosome spreads (type, relative size and orientation).

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