Prediction of the Population at Risk of Atherothrombotic Disease: A Three Step Approach

The mainstay of the prevention of atherothrombotic disease (ATD, which is atherosclerotic disease, with emphasis on the thrombosis that so often precipitates the acute ATD event, such as acute myocardial infarction, acute cerebral infarction, aortic aneurysm, etc) is the prediction of the population at risk of ATD. There are many predictive tools, all of which use the same general risk factors, but the one favored by the author is the Bowling Green Study (BGS) graph.. This graph is based on the ATD risk factor constellations of 870 people in Bowling Green, Ohio, the county seat of Wood County, in northwest Ohio. (There is one other patient who has full lipid data and blood pressure data, but whose cigarette smoking status is not known.) The ordinate of the graph is the lipid arm and consists of the Cholesterol Retention Fraction (CRF, defined as [LDL-HDL]/LDL). HDL refers to high-density lipoprotein cholesterol and LDL refers to low-density lipoprotein cholesterol. The abscissa of the graph is the blood pressure arm, represented by the systolic blood pressure (SBP). This graph was initially developed in 1981 (using the LDL:HDL ratio) then modified in 1983 (using the CRF), and, by 1988, the author was able to generate a threshold line, which separated the main stream of ATD patients’ CRF-SBP plots from those of a few outliers. (The threshold line is not a regression line, but rather a divider, based on the principle of the fewest false negatives.) The 1988 threshold line was modified in 2000 to its present location at CRF-SBP loci (0.74, 100) and (0.49, 140). Many of the various ATD risk predictors are complex and difficult to use, whereas the graph is simple to use and based on the risk factor constellations of actual ATD patients, wherein lies its value.

Association between a single measurement of progesterone and cortisol blood concentrations at two to one week before parturition, and number of fetuses in the Teramana goat

The Teramana goat is an at-risk breed, needing population protection and programs to increase their numbers. The first step for a population increase is the best management of reproduction, leading to an as high as possible number of healthy and viable kids born. To this purpose, beside the optimization of mating, the best possible management of pregnancy and parturition is mandatory. The goat is a prolific farm animal in which single, double, or triple ovulations can occur, leading to singleton, twin or triple pregnancies, and the birth of multiple kids. Twins and triplets are associated to increased risk for perinatal mortality and need a special surveillance and possible assistance at birth. Knowledge of the number of fetuses that have to be delivered from each goat could be a practical tool for a better management of parturition. Among the methods to define the number of fetuses in the goat, the measurement of blood progesterone (P4) concentrations have provided inconsistent results. Therefore, the present study was aimed to assess the possible association between the maternal concentrations of plasma P4 and cortisol (C), two hormones possibly associated to the number of fetuses, measured only once at about two to one week before parturition in Teramana goats, and the number of fetuses. The results, obtained from 23 does, showed that both plasma P4 and C are higher in does bearing multiple fetuses than does with singleton pregnancies. However, the single measurement of plasma C, but not P4, two to one week before the expected parturition in the Teramana goat is useful to distinguish between does bearing singleton and triplet pregnancies for a better surveillance and assistance at delivery. Therefore, it could represent a tool for the best management of reproduction in a breed population at risk for extinction.

Prevenire la radicalizzazione e i comportamenti antisociali. Madri e bambini nei non-luoghi dell’educabilità

In the intersection with other dimensions such as ethnic, religious and social, the gender difference leads to dwell on aspects often neglected and to bring out the role of mothers in places of confinement that, together with their children, represent a population at risk for the difficulties inherent in the condition of restriction. The research is interested in understanding a mother-child relationship highly disturbed by some risk factors and the educational actions to be activated in the daily life of penitentiary institutions to support and accompany these women towards autonomy, to offer them possibilities of social inclusion and avoid marginalization that in the future could lead their children to seek radicalized insertion within groups.

Regional trends in births during the COVID-19 crisis in France, Germany, Italy, and Spain

Early evidence shows mixed effects of the COVID-19 pandemic on births in Europe. This study examines changes in births at the regional level in the four European countries that have been affected by the pandemic earlier and to a larger extent. It is also investigated the association between birth changes and some labour market characteristics, the pandemic impact in terms of COVID-deaths, and the share of population at risk of poverty. Results show considerable within-country heterogeneity in birth changes after the pandemic and that higher share of poverty, worse labour market performance, and higher excess mortality are associated with births decline.

Health-related quality of life (HRQoL) in a population at risk of type 2 diabetes: a cross-sectional study in two Latin American cities

Purpose The purpose of this study was to describe the health-related quality of life (HRQoL) characteristics in a population at risk of developing type 2 diabetes in Barranquilla and Bogotá, Colombia. Methods A cross-sectional study with 1135 participants older than 30 years-of-age recruited in Bogotá D.C., and Barranquilla by cluster sampling in 2018 to 2019. The Finnish Diabetes Risk Score (FINDRISC) was used to detect participants at risk of developing type 2 diabetes (T2D). HRQoL was assessed using the EQ-5D-3L questionnaire. Unadjusted and adjusted logistic regression models were used to calculate odds ratios (OR) and their corresponding 95% confidence intervals CI). Results Moderate or extreme problems appeared more frequently in the dimensions of Pain/Discomfort (60.8%) and Anxiety/Depression (30.8%). The mean score of the EQ-VAS was 74.3 (± 17.3), significantly larger in the state of complete health (11111) compared with those with problems in more than one of the quality-of-life dimensions. Being female and living in Bogota D.C., were associated with greater odds of reporting problems in the Pain (OR 1.6; 95% CI 1.2–2.2) and Discomfort dimensions (OR 1.6; 95% CI 1.2–2.0) respectively and Anxiety/Depression (OR 1.9; 95% CI 1.3–2.7), (OR 9.1; 95% CI 6.6–12.4), respectively. Conclusions As living place and sex were associated with dimensions of Pain/Discomfort and Anxiety/Depression in the HRQoL in people at risk of T2D, greater attention should be paid to these determinants of HRQoL to design and reorient strategies with a territorial and gender perspective to achieve better health outcomes. Plain English summary Diabetes is one of the four non-communicable diseases with increasing prevalence in the world, which has made it a serious public health problem. In Colombia, in 2019 diabetes affected 8.4% of the Colombian adult population and more than one million Colombian adults of this age group have hidden or undetected diabetes. This disease is not only characterized by increased premature mortality, loss of productivity, and economic impact, but it also involves a deterioration in the quality of life of people with diabetes with their respective families. However, very Little is known about health-related quality of life (HRQoL) in a population at risk or with prediabetes. This study has evaluated the quality of life in patients at risk of diabetes and their behavior with some variables as sociodemographic, lifestyle, history, and established their difference in two territories of the Colombian Caribbean. The results of this study indicate that the HRQoL of people at risk of type 2 diabetes is affected by factors such as gender, city, dysglycemia, medication for hypertension and education level. Therefore, greater attention should be paid to these determinants of HRQL to design and implement strategies that reduce this risk of developing type 2 diabetes, prevent prediabetes and improve the quality of life in prediabetic or diabetic patients.

Estimating the population at-risk of homelessness in small areas

This research produces Small Area Estimates (SAE) of the population at-risk of homelessness in Australia. The incidence of homelessness risk is measured as a rate per 10,000 residents aged 15 years and over, at the ABS defined spatial scales Statistical Area level 2 (SA2), with a population ranging from 3,000 to 25,000 persons, and Statistical Area level 3 (SA3), which are an aggregation of SA2s and have a population ranging from 30,000 to 130,000.

Case–control studies

Case–control studies compare ill or injured individuals (cases) with those at risk of the illness or injury (controls) with regard to prior exposures or characteristics, and so appear to proceed backwards, from consequence to potential cause. They have the potential to identify associations that are not causal, either because of chance, or because of the influence of some other factor associated with both the exposure and outcome. However, if a case–control study is able to enrol cases and controls from the same underlying population at risk of the outcome, and can measure exposure status of these persons in a valid manner, the results obtained will closely resemble those of a properly performed cohort study.