Do maternal obstetric morbidity and its concomitants differ between sedente and migrant groups? The case of the Oraon populations of Eastern India.

The state of pregnancy and child birth is a stretch of intense vulnerability and incurs reproductive cost, which is governed within a specific socio-ecological context. We asked in our research whether the obstetric morbidities at three stages: antepartum, intrapartum and postpartum, and their concomitants differed significantly between sedente and migrant populations. 403 Oraon indigenous women [203 sedente and 200 migrants] living in Eastern India were selected. Data on socio-demographic, reproductive, maternal health care services and obstetric morbidities were collected using semi structured schedules. We applied Categorical Principal Component Analysis (CATPCA) on the first three variables; PC1 and PC4 were loaded with "socio-demographic and maternal health care services" and PC2 and PC3 loaded with "socio-demographic and reproductive" variables. We applied Poisson regression to examine the determinants of obstetric morbidities. Bivariate analyses showed significant (p ≤ 0.05) sedente-migrant differences in variables related to socio-demographic, reproductive, maternal health care and obstetric morbidities. Poisson regression showed migrants were more likely (p ≤ 0.001) to experience ante and intrapartum morbidities than the sedentes, after controlling the confounders. PC1, PC2 and PC3 could significantly (p ≤ 0.05) predict ante and intrapartum morbidities. For postpartum morbidities, barring the variables related to availing of maternal health care services at the time of child delivery and post delivery, neither migration status nor any of the PCs was a significant predictor. For example, participants who delivered their child in health institutions and had episiotomy and/or caesarean delivery (p ≤ 0.01); and those who availed first PNC within the 24 hours of delivery, stayed under medical supervision after delivery for more than 48 hours and received higher coverage of PNCs were more and less likely respectively (p ≤ 0.05) to have experienced postpartum morbidities. We conclude that the maternal obstetric morbidities and their concomitants differed between sedente and migrant Oraon populations owing to their living in differential socio-ecological contexts.

Association Between Seasonal Allergic Rhinitis and Air Pollution, Meteorological Factors, and Grass Pollen Counts in Madrid (1996 and 2009).

OBJECTIVE: The aim of this study was to assess the relationship between meteorological and pollution-related variables and the symptoms of patients with seasonal allergic rhinitis due to sensitization to grass pollen during 2 different time periods in Madrid, Spain. METHODS: Between March 23 and December 31 in 1996 and 2009, we carried out a daily count of grass pollen grains (Burkard spore trap) and recorded the rhinitis symptom scores in 2 groups of patients with a history of seasonal allergic rhinitis (n=25 in 1996 and n=23 in 2009). Descriptive statistics of the same variables during the study periods were recorded. Associations between variables were assessed using the paired-samples Wilcoxon test and categorical principal component analysis (CatPCA, SPSS24 package). RESULTS: The mean symptom score was low in 1996 and moderate in 2009. The 1996 and 2009 CatPCA analysis explained around 66.4% and 70.5% of the variance, respectively. The strongest relationships in 1996 were between symptoms and grass pollen counts (R=0.55) and between temperature and ozone (R=0.63). In 2009, the association between temperature and pollution-related variables was even stronger than in 1996 (ozone [R=0.53] and PM10 [R=0.34], with a positive sign in both cases). CONCLUSIONS: The effect of temperature and pollution (mainly ozone, even at lower atmospheric concentrations than in established guidelines for effects on health) may have contributed to the higher seasonal allergic rhinitis symptom score recorded in 2009.

Neuropsychological predictors of rapidly progressive Alzheimer's disease.

OBJECTIVE: Alzheimer's disease (AD), the most common cause of dementia, typically shows a slow clinical progression over time. 'Rapidly progressive' AD, a variant of the disease characterized by an aggressive course, exhibits distinct clinical, biological, and neuropathological features. Here, we investigate neuropsychological predictors of rapid decline in a group of mild patients with AD. METHODS: One hundred fifty-three mild patients with AD admitted to a memory disorder clinic and followed for up to 3 years were included in this study. A comprehensive neuropsychological (NP) battery was performed at the time of enrollment. Patients were defined as 'rapidly progressive' if they exhibited a drop of 6 or more points on the Mini Mental State Examination (MMSE) between two consecutive annual visits. This event defined the main outcome in multiple analyses of variance and Cox proportional hazards models that investigated the impact of NP predictors. Categorical principal component analysis (CATPCA) was also employed in order to delineate clusters of NP tests and to test their effect on the outcome. RESULTS: Of 153 subjects, thirty-seven (24%) were classified as 'rapidly progressive'; those subjects showed younger age of symptoms onset compared to slow decliners (68 vs 71.5 years old). Baseline lower performance on a neuropsychological test of naming predicted a rapid decline over the follow-up (P = 0.001). Three clusters of NP were defined by CATPCA: (i) executive/language, (ii) visuospatial memory, and (iii) verbal memory. The executive/language component predicted a rapid decline over the follow-up (P = 0.016). CONCLUSION: Early executive/language impairment is highly predictive of a rapid progression of AD.

Summarizing the fifteen scales of the EORTC QLQ-C30 questionnaire by five aggregate scales with two underlying dimensions: a literature review and an empirical study.

The intercorrelations among the 15 scales of the 30-item Core version of the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire suggest that one may combine (1) the physical functioning and role functioning scales, (2) the emotional functioning and cognitive functioning scales, and (3) the nine symptom scales. Together with the global health/quality of life scale and the social functioning scale, five measures remain. Principal component analysis of those five measures, using data from Japanese and Dutch breast and lung cancer patients, yielded two dimensions: (1) generalized health related quality of life and (2) health-independent psychological well-being. The correlations of these dimensions with the Brief Illness Perception Questionnaire and Karnofsky performance substantiated this interpretation.

Investigation Into the Risk Factors Related to In-stent Restenosis in Elderly Patients With Coronary Heart Disease and Type 2 Diabetes Within 2 Years After the First Drug-Eluting Stent Implantation.

Background: The present study aims to explore risk factors related to in-stent restenosis (ISR) in elderly patients with coronary heart disease and type 2 diabetes within 2 years after the first drug-eluting stent (DES) implantation. Methods: This case-control study retrospectively analyzed the clinical data of patients with coronary heart disease and diabetes undergoing percutaneous coronary intervention (PCI) in Shenzhen Sun Yat-sen Cardiovascular Hospital between January 2010 and March 2020. Univariate and multivariate models were used to assess independent factors for DES-ISR. Categorical principal component analysis of clinical variables was performed to determine important components for DES-ISR. Nomogram was constructed to quantitatively predict the probability of DES-ISR development. The diagnostic potential of clinical variables was determined by receiver operating characteristic curve. Results: In the derivation cohort, 1,741 cases were included in this study, and a total of 227 pairs of cases and controls were generated by propensity score matching. In the validation cohort, 102 cases were included with 19 cases (18.6%) with DES-ISR. Glomerular filtration rate <60 ml/min/1.73 m2, fasting blood glucose ≥6.5 mmol/L, multivessel coronary artery disease, coronary artery diffuse disease, PCI operation time (≥60 min), emergency PCI were associated with ISR. High Nomogram score was associated with the increased risk of ISR. Further analysis of the validation cohort showed that higher levels of HbA1c-coefficient of variation (CV) were significantly associated with the increased risk of ISR. HbA1c-CV exhibited good predictive ability for ISR in the validation cohort. Conclusions: In conclusion, the fasting blood glucose level during the perioperative period of emergency PCI and the long-term variation of HbA1c during the follow-up period are related to the incidence of DES-ISR and the degree of stenosis. Reducing blood glucose fluctuations may decrease the risk of DES-ISR.

Study on the Lamb Meat Consumer Behavior in Brazil.

In Brazil, the sheep market, including lamb meat consumption, is regionalized, and the consumption of lamb meat is higher in production areas; yet, consumption of lamb still remains below that of other meat livestock. The aim of this study was to identify the profile of Brazilian lamb meat consumers in order to understand their behavior in relation to food in general and on the consumption of this species. Therefore, a survey on consumer habits and preferences regarding food buying and consumption habits, their preferences in relation to the quality attributes of lamb meat, and sociodemographic characterization was performed. Data collected were analyzed by nonlinear canonic relationship analysis and categorical principal component analysis, followed by multiple factor analysis. Three consumer profiles were identified: traditional, interested, and disinterested, and a fourth group was considered independent but could not be described. Among lamb meat consumers, men with higher income seemed to be more frequent consumers than the others, and the intrinsic characteristics of meat quality, especially color and freshness, were the most important at the time of purchase. Thus, the results could be important to the industry in order to guide marketing strategies to certain niche markets.

Comparative analysis of data reduction techniques for questionnaire validation using self-reported driver behaviors.

INTRODUCTION: Exploratory data reduction techniques, such as Factor Analysis (FA) and Principal Component Analysis (PCA), are widely used in questionnaire validation with ordinal data, such as Likert Scale data, even though both techniques are indicated to metric measures. In this context, this study presents an e-survey, conducted to obtain self-reported behaviors between Brazilian drivers (N = 1,354, 55.2% of males) and Portuguese drivers (N = 348, 46.6% of males) based on 20 items from the Driver Behavior Questionnaire (DBQ) on a five-point Likert Scale. This paper aimed to examine DBQ validation using FA and PCA compared to Categorical Principal Component Analysis (CATPCA) which is more indicative to use with Likert Scale data. RESULTS: The results from all techniques confirmed the most replicated factor structure of DBQ, distinguishing behaviors as errors, ordinary violations, and aggressive violation. However, after Varimax rotation, CATPCA explained 11% more variance compared to FA and 2% more than PCA. We identified cross-loadings among the component of the techniques. An item changed its dimension in the CATPCA results but did not change the structural interpretability. Individual scores from dimension 1 of CATPCA were significantly different from FA and PCA. Individual scores from factor 1 of CATPCA were significantly different from FA and PCA. Practical applications: The CATPCA seems to be more advantageous in order to represent the original data and considering data constrains. In addition to finding an interpretable factorial structure, the representation of the original data is regarded as relevant since the factor scores could be used for crash prediction in future analyses.