Prevalence of symptoms of neurotoxicity and potential occupational pesticide and solvent exposures among high school students in Starr County, Texas: A pilot study

Numerous harmful occupational exposures affect working teens in the United States. Teens working in agriculture and other heavy-labor industries may be at risk for occupational exposures to pesticides and solvents. The neurotoxicity of pesticides and solvents at high doses is well-known; however, the long term effects of these substances at low doses on occupationally exposed adolescents have not been well-studied. To address this research gap, a secondary analysis of cross-sectional data was completed in order to estimate the prevalence of self-reported symptoms of neurotoxicity among a cohort of high school students from Starr County, Texas, a rural area along the Texas-Mexico border. Multivariable linear regression was used to estimate the association between work status (i.e., no work, farm work, and non-farm work) and symptoms of neurotoxicity, while controlling for age, gender, Spanish speaking preference, inhalant use, tobacco use, and alcohol use. The sample included 1,208 students. Of these, the majority (85.84%) did not report having worked during the prior nine months compared to 4.80% who did only farm work, 6.21% who did only non-farm work, and 3.15% who did both types of work. On average, students reported 3.26 symptoms with a range from 0-16. The most commonly endorsed items across work status were those related to memory impairment. Adolescents employed in non-farm work jobs reported more neurotoxicity symptoms than those who reported that they did not work (Mean 4.31; SD 3.97). In the adjusted multivariable regression model, adolescents reporting non-farm work status reported an average of 0.77 more neurotoxicity symptoms on the Q16 than those who did not work (P = 0.031). The confounding variables included in the final model were all found to be factors significantly associated with report of neurotoxicity symptoms. Future research should examine the relationship between these variables and self-report of symptoms of neurotoxicity.^

Detecting genetic and nutritional lung cancer risk factors related to folate metabolism using Bayesian generalized linear models

Complex diseases, such as cancer, are caused by various genetic and environmental factors, and their interactions. Joint analysis of these factors and their interactions would increase the power to detect risk factors but is statistically. Bayesian generalized linear models using student-t prior distributions on coefficients, is a novel method to simultaneously analyze genetic factors, environmental factors, and interactions. I performed simulation studies using three different disease models and demonstrated that the variable selection performance of Bayesian generalized linear models is comparable to that of Bayesian stochastic search variable selection, an improved method for variable selection when compared to standard methods. I further evaluated the variable selection performance of Bayesian generalized linear models using different numbers of candidate covariates and different sample sizes, and provided a guideline for required sample size to achieve a high power of variable selection using Bayesian generalize linear models, considering different scales of number of candidate covariates. ^ Polymorphisms in folate metabolism genes and nutritional factors have been previously associated with lung cancer risk. In this study, I simultaneously analyzed 115 tag SNPs in folate metabolism genes, 14 nutritional factors, and all possible genetic-nutritional interactions from 1239 lung cancer cases and 1692 controls using Bayesian generalized linear models stratified by never, former, and current smoking status. SNPs in MTRR were significantly associated with lung cancer risk across never, former, and current smokers. In never smokers, three SNPs in TYMS and three gene-nutrient interactions, including an interaction between SHMT1 and vitamin B12, an interaction between MTRR and total fat intake, and an interaction between MTR and alcohol use, were also identified as associated with lung cancer risk. These lung cancer risk factors are worthy of further investigation.^

Performance of HbA1c for classifying diabetes and diagnostic threshold for diabetes among the Mexican American border community

Objective. In 2009, the International Expert Committee recommended the use of HbA1c test for diagnosis of diabetes. Although it has been recommended for the diagnosis of diabetes, its precise test performance among Mexican Americans is uncertain. A strong “gold standard” would rely on repeated blood glucose measurement on different days, which is the recommended method for diagnosing diabetes in clinical practice. Our objective was to assess test performance of HbA1c in detecting diabetes and pre-diabetes against repeated fasting blood glucose measurement for the Mexican American population living in United States-Mexico border. Moreover, we wanted to find out a specific and precise threshold value of HbA1c for Diabetes Mellitus (DM) and pre-diabetes for this high-risk population which might assist in better diagnosis and better management of patient diabetes. ^ Research design and methods. We used CCHC dataset for our study. In 2004, the Cameron County Hispanic Cohort (CCHC), now numbering 2,574, was established drawn from randomly selected households on the basis of 2000 Census tract data. The CCHC study randomly selected a subset of people (aged 18-64 years) in CCHC cohort households to determine the influence of SES on diabetes and obesity. Among the participants in Cohort-2000, 67.15% are female; all are Hispanic. ^ Individuals were defined as having diabetes mellitus (Fasting plasma glucose [FPG] ≥ 126 mg/dL or pre-diabetes (100 ≤ FPG < 126 mg/dL). HbA1c test performance was evaluated using receiver operator characteristic (ROC) curves. Moreover, change-point models were used to determine HbA1c thresholds compatible with FPG thresholds for diabetes and pre-diabetes. ^ Results. When assessing Fasting Plasma Glucose (FPG) is used to detect diabetes, the sensitivity and specificity of HbA1c≥ 6.5% was 75% and 87% respectively (area under the curve 0.895). Additionally, when assessing FPG to detect pre-diabetes, the sensitivity and specificity of HbA1c≥ 6.0% (ADA recommended threshold) was 18% and 90% respectively. The sensitivity and specificity of HbA1c≥ 5.7% (International Expert Committee recommended threshold) for detecting pre-diabetes was 31% and 78% respectively. ROC analyses suggest HbA1c as a sound predictor of diabetes mellitus (area under the curve 0.895) but a poorer predictor for pre-diabetes (area under the curve 0.632). ^ Conclusions. Our data support the current recommendations for use of HbA1c in the diagnosis of diabetes for the Mexican American population as it has shown reasonable sensitivity, specificity and accuracy against repeated FPG measures. However, use of HbA1c may be premature for detecting pre-diabetes in this specific population because of the poor sensitivity with FPG. It might be the case that HbA1c is differentiating the cases more effectively who are at risk of developing diabetes. Following these pre-diabetic individuals for a longer-term for the detection of incident diabetes may lead to more confirmatory result.^

Social integration, health behaviors and health status among Mexican-American women in the *southwestern United States

Using the Hispanic Health and Nutrition Examination Survey (HHANES), this research examined several health behaviors and the health status of Mexican American women. This study focused on determining the relative impact of social contextual factors: age, socioeconomic status, quality of life indicators, and urban/rural residence on (a) health behaviors (smoking, obesity and alcohol use) and (b) health status (physician's assessment of health status, subject's assessment of health status and blood pressure levels). In addition, social integration was analyzed. The social integration indicators relate to an individual's degree of integration within his/her social group: marital status, level of acculturation (a continuum of traditional Mexican ways to dominant U.S. cultural ways), status congruency, and employment status. Lastly, the social contextual factors and social integration indicators were examined to identify those factors that contribute most to understanding health behaviors and health status among Mexican American women.^ The study found that the social contextual factors and social integration indicators proved to be important concepts in understanding the health behaviors. Social integration, however, did not predict health status except in the case of the subject's assessment of health status. Age and obesity were the strongest predictors of blood pressure. The social contextual factors and obesity were significant predictors of the physician's assessment of health status while acculturation, education, alcohol use and obesity were significant predictors of the subject's assessment of health status. ^

The CoastColour Round Robin datasets: a database to evaluate the performance of algorithms for the retrieval of water quality parameters in coastal waters

The CoastColour project Round Robin (CCRR) project (http://www.coastcolour.org) funded by the European Space Agency (ESA) was designed to bring together a variety of reference datasets and to use these to test algorithms and assess their accuracy for retrieving water quality parameters. This information was then developed to help end-users of remote sensing products to select the most accurate algorithms for their coastal region. To facilitate this, an inter-comparison of the performance of algorithms for the retrieval of in-water properties over coastal waters was carried out. The comparison used three types of datasets on which ocean colour algorithms were tested. The description and comparison of the three datasets are the focus of this paper, and include the Medium Resolution Imaging Spectrometer (MERIS) Level 2 match-ups, in situ reflectance measurements and data generated by a radiative transfer model (HydroLight). The datasets mainly consisted of 6,484 marine reflectance associated with various geometrical (sensor viewing and solar angles) and sky conditions and water constituents: Total Suspended Matter (TSM) and Chlorophyll-a (CHL) concentrations, and the absorption of Coloured Dissolved Organic Matter (CDOM). Inherent optical properties were also provided in the simulated datasets (5,000 simulations) and from 3,054 match-up locations. The distributions of reflectance at selected MERIS bands and band ratios, CHL and TSM as a function of reflectance, from the three datasets are compared. Match-up and in situ sites where deviations occur are identified. The distribution of the three reflectance datasets are also compared to the simulated and in situ reflectances used previously by the International Ocean Colour Coordinating Group (IOCCG, 2006) for algorithm testing, showing a clear extension of the CCRR data which covers more turbid waters.

Análisis Post-Hoc de un experimento acerca de TDD

Objetivo: Este Trabajo Fin de Máster (TFM) analiza la importancia de la información poblacional en el análisis de datos de experimentos en IS. Por otro lado se intenta abordar un estudio sobre las posibles metodologías que se pueden usar para realizar dicho análisis. Contexto: El análisis se realiza sobre los resultados de un experimento llevado a cabo por el Grupo de Investigación de IS empírica de la UPM, cuyo objetivo es analizar el impacto que tiene el uso de TDD (Test Driven Development) sobre la calidad y la productividad del desarrollo software en comparación con el desarrollo tradicional TLD. Método de Investigación: Se analizan ocho variables demográficas frente a tres variables respuesta. Las metodologías o técnicas de análisis que se revisan son la Dicotomización, la Correlación de Pearson, la regresión lineal múltiple y la stepwise regression. Resultados: No se encuentran evidencias claras para afirmar que las variables demográficas influyen en los resultados de los experimentos. No obstante los resultados no son del todo concluyentes y queda abierta la investigación a realizarse con una muestra más amplia y representativa. En relación a la metodología de análisis aplicada, la dicotomización y la correlación de Pearson presentan deficiencias que se solventan con la regresión lineal múltiple y la stepwise regression. Conclusión: Resulta de vital importancia encontrar evidencias de la influencia de las características demográficas de los sujetos experimentales en el análisis de los datos experimentos en IS. Se ha encontrado un buen método para analizar esta influencia, pero falta replicar este análisis a más experimentos de IS para obtener resultados mejor fundados.---ABSTRACT---Objective: This Master's Thesis (TFM) discusses the importance of demographic data in the analysis of data from experiments in SE. On the other hand, it attempts to address a study of the possible methodologies that can be used to perform the analysis. Context: The analysis is performed on the results of an experiment conducted by the ESE Research Group of the UPM, aimed at analyzing the impact of the use of TDD (Test Driven Development) on quality and productivity, compared to traditional development TLD (Test Last Development). Research Method: Eight demographic variables were analyzed against three response variables. The methodologies and analysis techniques that are reviewed include dichotomization, Pearson correlation, multiple linear regression and stepwise regression. Results: There is not clear evidence to say that demographic variables influence the results of SE experiments. However the results are not conclusive, and are open to research with a broader and more representative sample. Regarding the applied analysis methodology, dichotomization and Pearson correlation have deficiencies that are solved with multiple linear regression and stepwise regression. Conclusion: It is very important to find evidence on the influence of demographic characteristics of subjects in the data analysis of SE experiments. We found a good way to analyze this influence, but is necessary replicate this analysis on more SE experiments to obtain sound results.

An impairment in sniffing contributes to the olfactory impairment in Parkinson's disease

Although the presence of an olfactory impairment in Parkinson's disease (PD) has been recognized for 25 years, its cause remains unclear. Here we suggest a contributing factor to this impairment, namely, that PD impairs active sniffing of odorants. We tested 10 men and 10 women with clinically typical PD, and 20 age- and gender-matched healthy controls, in four olfactory tasks: (i) the University of Pennsylvania smell identification test; (ii and iii) detection threshold tests for the odorants vanillin and propionic acid; and (iv) a two-alternative forced-choice detection paradigm during which sniff parameters (airflow peak rate, mean rate, volume, and duration) were recorded with a pneomatotachograph-coupled spirometer. An additional experiment tested the effect of intentionally increasing sniff vigor on olfactory performance in 20 additional patients. PD patients were significantly impaired in olfactory identification (P < 0.0001) and detection (P < 0.007). As predicted, PD patients were also significantly impaired at sniffing, demonstrating significantly reduced sniff airflow rate (P < 0.01) and volume (P < 0.002). Furthermore, a patient's ability to sniff predicted his or her performance on olfactory tasks, i.e., the more poorly patients sniffed, the worse their performance on olfaction tests (P < 0.009). Finally, increasing sniff vigor improved olfactory performance in those patients whose baseline performance had been poorest (P < 0.05). These findings implicate a sniffing impairment as a component of the olfactory impairment in PD and further depict sniffing as an important component of human olfaction.

Diagnóstico da exposição fetal ao álcool através de biomarcadores em mecônio

A grande prevalência do consumo de álcool por mulheres em idade reprodutiva aliada à gravidez não planejada expõe a gestante a um elevado risco de se alcoolizar em algum momento da gestação, principalmente no início do período gestacional em que a maioria delas ainda não tomou ciência do fato. Assim, torna-se extremamente relevante o desenvolvimento de métodos de detecção precoce de recém-nascidos em risco de desenvolvimento de problemas do espectro dos transtornos relacionados à exposição fetal ao álcool. O objetivo desse estudo foi desenvolver, validar e avaliar a eficácia de um método de quantificação de ésteres etílicos de ácidos graxos (FAEEs) no mecônio de recém-nascidos para avaliação da exposição fetal ao álcool. Os FAEEs avaliados foram: palmitato de etila, estearato de etila, oleato de etila e linoleato de etila.O método consistiu no preparo das amostras pela extração líquido-líquido utilizando água, acetona e hexano, seguida de extração em fase sólida empregando cartuchos de aminopropilsilica. A separação e quantificação dos analitos foi realizada por cromatografia em fase gasosa acoplada à espectrometria de massas. Os limites de quantificação (LQ) variaram entre 50-100ng/g. A curva de calibração foi linear de LQ até 2000ng/g para todos os analitos. A recuperação variou de 69,79% a 106,57%. Os analitos demonstraram estabilidade no ensaio de pós-processamento e em solução. O método foi aplicado em amostras de mecônio de 160 recém-nascidos recrutados em uma maternidade pública de Ribeirão Preto-SP. O consumo de álcool materno foi reportado utilizando questionários de rastreamento validados T-ACE e AUDIT e relatos retrospectivos da quantidade e frequência de álcool consumida ao longo da gestação. A eficácia do método analítico em identificar os casos positivos foi determinada pela curva Receiver Operating Characteristic (ROC). O consumo alcoólico de risco foi identificado pelo T-ACE em 31,3% das participantes e 50% reportaram o uso de álcool durante a gestação. 51,3% dos recém-nascidos apresentaram FAEEs em seu mecônio, sendo que 33,1% apresentaram altas concentrações para a somatória dos FAEEs (maior que 500ng/g), compatível com um consumo abusivo de álcool. O oleato de etila foi o biomarcador mais prevalente e o linoleato de etila foi o biomarcador que apresentou as maiores concentrações. Houve uma variabilidade no perfil de distribuição dos FAEEs entre os indivíduos, e discordâncias entre a presença de FAEEs e o consumo reportado pela mãe. A concentração total dos FAEEs nos mecônio mostrou-se como melhor indicador da exposição fetal ao álcool quando comparado com o uso de um único biomarcador. O ponto de corte para esta população foi de aproximadamente 600ng/g para uso tipo binge (três ou mais doses por ocasião) com sensibilidade de 71,43% e especificidade de 84,37%. Este estudo reforça a importância da utilização de métodos laboratoriais na identificação da exposição fetal ao álcool.

O agente comunitário e o usuário de álcool: discursos sobre a concepção e a assistência na Atenção Básica

Estima-se que 52% da população mundial faz uso de álcool, sendo a droga mais consumida no mundo. Ao usuário, o álcool torna-se prejudicial devido às consequências nos níveis biológicos, sociais e funcionais. Assim, a redução do uso abusivo da substância é um dos objetivos da Organização Mundial de Saúde (OMS) e uma das prioridades na agenda de saúde pública mundial. No Brasil, a Política do Ministério da Saúde para a Atenção Integral aos Usuários de Álcool e Outras Drogas teve como objetivo a criação de uma rede de atenção integral a eles - a RAPS (Rede de Atenção Psicossocial). A RAPS é considerada um grande avanço da Reforma Psiquiátrica, já que integra os diversos pontos de atenção disponíveis no Sistema Único de Saúde (SUS). Um dos pontos da RAPS é a Atenção Básica (AB), que através da atuação das equipes da Estratégia Saúde da Família (ESF) tem a possibilidade de monitoração, prevenção do uso e colaboração na reinserção social dos usuários de álcool e outras drogas devido à proximidade e criação de vínculo entre o serviço e usuário. Para que o vínculo seja estabelecido o Agente Comunitário de Saúde (ACS) é a peça fundamental, visto que conhece a comunidade e reconhece suas necessidades, além de ser a figura que medeia as relações entre a equipe de saúde e os usuários. Assim sendo, o objetivo deste estudo foi descrever e analisar o discurso de ACS sobre o uso de álcool e a assistência prestada na AB. Trata-se de um estudo qualitativo de teor descritivo, cuja pesquisa ocorreu em cinco municípios da região central do Estado de Santa Catarina. Foram realizadas entrevistas semiestruturadas, analisadas através do método da Análise de Conteúdo. A análise das entrevistas resultou na formulação de duas categorias e quatro subcategorias empíricas. Os resultados evidenciaram que os ACS percebem o consumo de álcool como inerente a população em virtude da cultura caracterizada pelo consumo habitual e festivo da droga. Eles percebem que o uso do álcool torna-se um problema quanto à definição social atribuída pela comunidade, ressaltando as consequências para a família e outras perdas vivenciadas pelos usuários com base nas repercussões sociais. Quanto à assistência prestada por eles aos usuários de álcool, os resultados indicaram uma prática desprovida de instrumentos ou habilidades para a abordagem adequada do uso, evidenciando uma prática infundada pelos ACS. A prática está pautada também nas crenças em relação aos usuários de álcool, que estão muito ligadas aos estigmas relacionados a estes usuários em geral e não em evidências científicas. Conclui-se que a partir do conhecimento das percepções e práticas deste profissional, é possível direcionar ações que potencialize a prática dos ACS, já que são profissionais com grandes possibilidades de atuação diante da prevenção e tratamento do abuso de álcool e reabilitação social do usuário

PTSD, Depression, and Substance Abuse Symptoms in Women Exposed to Intimate Partner Abuse

The present study explores relationships among several established correlates of trauma in women exposed to intimate partner abuse (IPA), including PTSD, depression, and dissociation symptoms as well as alcohol use as well as other trauma-related variables, such as social support and violence exposure. Two analysis methods were utilized: variable-oriented methods, which examine relationships between variables, and person-oriented analysis methods, which examine groupings of participants within a larger sample (N = 233). Results of the variable-oriented analyses indicated positive links among depression, PTSD, dissociation, and alcohol use in women exposed to IPA, as well as positive links between the aforementioned psychological symptoms and exposure to violence. Social support was related to decreased psychological symptoms. Person-oriented analyses indicated the presence of four unique profiles of women within the larger study sample: Profile 1 (n = 21), which was labeled High Dissociation, Low Depression/PTSD; Profile 2 (n = 150), which was labeled Low Symptoms, High Social Support, Profile 3 (n = 41); which was labeled Low Dissociation, High Depression/PTSD; and Profile 4 (n = 22), which was labeled High Symptoms, Low Social Support. This research supports previous findings about the relationships among several variables related to IPA as well as suggests the need for careful consideration of differences among women within the larger context of research, advocacy, and clinical interventions related to IPA.

Identificação de padrões de uso do solo urbano em São Paulo/SP utilizando parâmetros de variogramas.

As imagens de alta resolução espacial impulsionaram os estudos de Sensoriamento Remoto em ambientes urbanos, já que elas permitem uma melhor distinção dos elementos que compõem esse ambiente tão heterogêneo. Técnicas de Geoestatística são cada vez mais utilizadas em estudos de Sensoriamento Remoto e o variograma é uma importante ferramenta de análise geoestatística, pois permitem entender o comportamento espacial de uma variável regionalizada, neste caso, os níveis de cinza de uma imagem de satélite. O presente trabalho pretende avaliar a proposta metodológica que consiste em identificar padrões residenciais urbanos de três classes de uso e ocupação do solo por meio da análise dos valores apresentados pelos parâmetros, alcance, patamar e efeito pepita de um variograma. A hipótese é que os valores correspondentes a esses parâmetros representem o comportamento espectral padrão de cada classe e, portando, indicam que há um padrão na organização espacial de cada uma das classes. Para a presente pesquisa foram utilizadas imagem IKONOS 2002, e a classificação de uso e ocupação do solo da sub-bacia do córrego Bananal na bacia do Rio Cabuçu de Baixo em São Paulo SP. Amostras das imagens de cada classe foram extraídas e os valores de nível de cinza em cada pixel foram utilizados para calcular os variogramas. Após análise dos resultados obtidos, apenas o parâmetro alcance foi levado em consideração, pois é através desse parâmetro que se observa o grau de homogeneidade de cada amostra. Os valores de alcance obtidos nos cálculos dos variogramas identificaram com melhor precisão a classe Conjuntos Residenciais que é uma classe com padrões e características singulares, já a identificação das classes Ocupação Densa Regular e Ocupação Densa Irregular não obteve uma precisão boa, sendo que essas classes são similares em diversos aspectos.

Comportamiento y salud en la vejez

Determinados comportamientos pueden ser factores protectores y promotores de salud, o actuar como variables de riesgo de mortalidad prematura, de morbilidad y de discapacidad funcional. Frente a las enfermedades ligadas a la cronología, el comportamiento pasaría a constituir una variable crucial de las enfermedades de biografía. En este artículo se presenta una sucinta revisión de trabajos epidemiológicos que han analizado la relación comportamiento y salud en gerontología. Se presenta también una breve síntesis en relación al estado actual de algunos comportamientos de elección personal implicados en la salud del anciano o de interés para un envejecimiento satisfactorio: fumar, alcohol, ejercicio físico, comportamiento alimentario, hábitos de sueño, y sexo seguro. Finalmente, se sugieren algunas implicaciones prácticas de la revisión, destacando la necesidad de incorporar a las personas de edad en los programas de promoción de comportamientos de salud y de prevención de enfermedad, y de valorar la evidencia científica disponible ala hora de aconsejar cambios en determinados comportamientos de riesgo, sobre todo en aquellos ancianos sin problemas de salud para los que ciertos comportamientos se asocian a un hedonismo ponderado y a disfrute de la vida.

Smoking cessation in pregnancy : abbreviated prenatal counseling protocols for WIC educators and/or health care professionals /

"Reprint December 1994"--P. [2] of cover.

Analytic study 7: public information and education. Final report.

National Highway Traffic Safety Administration, Office of Driver and Pedestrian Programs, Washington, D.C.