Altering the structures of 3D supramolecular assemblies from melamine and cyanuric acid derivatives in water.

Herein, we obtained two supramolecular assemblies with layered structures from melamine, N-methylmelamine, and hexynyl-cyanuric acid in water. By combination of X-ray diffraction, electron microscopy, and molecular dynamics studies, we found that introducing one methyl group in melamine alters the arrangement of the layers in these structures.

Characteristics of Composite Deprivation Indices Used in Public Health: A Scoping Review Protocol.

Introduction: A deprivation index has become a more popular tool to rank levels of deprivation within different geographic areas. It is extensively used for monitoring health inequalities, evaluating health care services, developing and modifying health policies and programs, and allocating health resources equitably. Our objectives are (1) to explore the relevant literature to describe features of composite deprivation measures; (2) create a list and classification of original deprivation indices. We will develop the classification of indices to systematize knowledge and improve the functional utility of the information. Methods: Any original deprivation index mentioned in peer-reviewed or grey literature documents will be eligible for inclusion if it assesses deprivation at a population level and used in relation to health. The study area will be limited to the geographic areas of North America, Europe, Australia, and New Zealand. Tables and a narrative summary will be used to describe features of deprivation indices. Diagrammatic form will be used to create the classification of deprivation indices. Discussion: Practically, the results of this study could facilitate finding a common language among researchers and specialists who create and use deprivation indices, thus helping the development and implementation of appropriate deprivation indices for different countries.

Classification of Deprivation Indices That Applied to Detect Health Inequality: A Scoping Review.

INTRODUCTION: Many studies around the world are undertaken to establish the association between deprivation and public health indicators. Both separate indicators (e.g., income, education, occupation, public security and social support) and complex models (indices) include several indicators. Deprivation indices are actively used in public health since the mid 1980s. There is currently no clear classification of indices. METHODS: In the current review, data related to deprivation indices are combined and analyzed in order to create a taxonomy of indices based on the results obtained. The search was carried out using two bibliographic databases. After conducting a full-text review of the articles and searching and adding relevant articles from the bibliography, and articles that were already known to the authors, sixty studies describing the use of sixty deprivation indices in seventeen countries were included in the narrative synthesis, resulting in development of a taxonomy of indices. When creating the taxonomy, an integrative approach was used that allows integrating new classes and sub-classes in the event that new information appears. RESULTS: In the review, 68% (41/60) of indices were classified as socio-economic, 7% (4/60) of indices as material deprivation, 5% (3/60) of indices as environmental deprivation and 20% (12/60) as multidimensional indices. CONCLUSIONS: The data stimulates the use of a competent approach, and will help researchers and public health specialist in resolving conflicts or inconsistencies that arise during the construction and use of indices.

Russian subject-level index of multidimensional deprivation and its association with all-cause and infant mortality.

Background: Social and environmental inequalities in public health are recognized as global problems of our time. From the point of view of the theory of deprivation, social and environmental determinants identified as deprivation indicators, which help to detect health inequality. Indices are one of the most practical and powerful tools for measuring the level of deprivation. Objectives: The aims of our study are (1) to develop a Russian derivation index to measure the levels of deprivation and (2) to analyze its associations with total and infant mortality. Material and methods: Deprivation indicators were obtained from the Federal State Statistics Service of Russia. All mortality data were taken from the official website of the Federal Research Institute for Health Organization and Informatics of Ministry of Health of the Russian Federation from 2009 to 2012. Principal components analysis with varimax rotation was used to (1) select suitable deprivation indicators and (2) create the index. A Spearman's correlation was run to determine the relationship of deprivation with all-cause and infant mortality. Ordinary least squares (OLS) regression was used to assess the relationship between deprivation and infant mortality. Development of the index and statistical analysis were carried out using R and SPSS software. Results: There is not a statistically significant correlation between deprivation and all-cause mortality. OLS regression showed a significant relationship between deprivation and infant mortality (p = 0.02). For every one-unit increase in the index score, infant mortality rate increases by about 20%.