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RESUMO Objetivo Verificar a influência das variáveis demográficas e socioeconômicas no limiar de reconhecimento de fala no ruído (LRF) obtidos no teste de dígitos no ruído (TDR) no Português Brasileiro em normo-ouvintes. Método Estudo transversal e prospectivo. A amostra de conveniência foi composta por 151 sujeitos normo-ouvintes com idade entre 12 e 79 anos (média =34,66) que realizaram audiometria tonal liminar e teste de dígitos no ruído branco com sequência de trios numéricos em estímulo diótico (inphase) no mesmo dia. O TDR foi realizado com um smartphone Motorola Z3 play com acesso à internet com fones de ouvido intra-auriculares. Os limiares de reconhecimento dos dígitos no ruído (LRF) foram analisados em função do sexo, idade, escolaridade e nível socioeconômico. Foi utilizado para comparar as amostras independentes, o teste não-paramétrico Kruskal-Wallis e Mann-Whitney, adotando-se o nível de significância de 5%. Resultados A média do LRF foi de -8,47 dBNA (dp -3,89), com mediana de -9,6 dBNA. O LRF foi proporcionalmente inverso à escolaridade e nível socioeconômico e mais negativo (isto é, melhor) com menor faixa-etária. Não houve evidência de influência do sexo no LRF do TDR. Conclusão Idade, escolaridade e nível socioeconômico mostraram influenciar o limiar no TDR; essas variáveis devem ser consideradas na análise de desempenho do TDR no Português Brasileiro em sujeitos normo-ouvintes.
ABSTRACT Purpose Verify how demographic and socioeconomic variables on the in-noise speech recognition threshold (SRT) from the digits-in-noise test (DIN) in Brazilian Portuguese influence normal-hearing subjects. Methods Cross-sectional, prospective study. The convenience sample had 151 normal-hearing subjects between 12 and 79 years (mean=34.66) who underwent pure tone audiometry and digits-in-noise test with white noise using a sequence of three numbers in diotic stimulus (in-phase) on the same day. The DIN was performed using a Motorola Z3 Play smartphone with internet access and in-ear headphones. In-noise digit speech recognition threshold (SRT) was analyzed for gender, age, educational levels, and socioeconomic status. We used the non-parametric version of the Kruskal-Wallis and Mann-Whitney U tests to compare independent samples adopting a significance level of 5%. Results The mean SRT was -8.47 dBNA (SD -3.89) with a median of -9.6 dBNA. The SRT was proportionally inverse to educational levels and socioeconomic status and more negative (better) with lower age groups. Gender did not influence the DIN SRT. Conclusion Age, educational levels, and socioeconomic status influenced the DIN threshold. These variables must be considered when analyzing DIN performance in Brazilian Portuguese in normal-hearing subjects.
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Introducción: El cáncer de mama constituye la primera causa de muerte en los cánceres en Chile según Globocan 2018. Dentro de los factores que explican esta alta mortalidad encontramos una baja tasa de detección y de realización de mamografías en los niveles socioeconómicos altos. Es por esto que comprender las causas de defunción y los factores que afectan en la mortalidad y letalidad por cáncer de mama en los últimos 17 años nos permitirá enfocar las políticas públicas de los próximos 50 años. Los objetivos generales de este trabajo fueron caracterizar los egresos hospitalarios en los pacientes por cáncer de mama según la edad, el sexo, la previsión, el nivel socioeconómico y educacional en Chile durante los años 2001 al 2016 y calcular la mortalidad y letalidad específica en estas mismas variables durante los años 2001 a 2016. El objetivo específico es asociar las variables socioeconómicas y educacionales, estimando los Odd's ratios de las variables en los egresos hospitalarios por cáncer de mama en Chile durante los años 2001 al 2016. Materiales y Métodos: Estudio de cohorte longitudinal retrospectivo en 81,072 egresos hospitalarios y 20,220 defunciones obtenidas de la página DEIS MINSAL, años 2001-2016. Para el análisis univariado se efectuó una regresión de ajuste de tasas Prais-weinstein según edad y sexo según modelo OMS de ajuste de tasas. Para las variables de tipo discreta se describieron mediante porcentajes y tasas y para las variables de tipo continua se utilizó mediana y desviación estándar. Se efectuó un test de smirnov-kolmolgorov para determinar el tipo de distribución y de normalidad de las muestras. Para las variables de tipo dicotómica se utilizó un modelo de regresión logística binaria para describir estas variables y determinar la posible asociación entre el nivel socioeconómico y educacional de las pacientes diagnosticadas por cáncer de mama. Resultados: Murieron 1,88 veces más personas de nivel socioeconómico alto con un IC entre 1,83- 1,94 con respecto a la población de nivel socioeconómico bajo. En cambio, las personas con un mayor nivel educacional murieron 0,5 veces menos según la regresión realizada respecto al bajo nivel educacional con un IC entre 0,47- 0,52, pero a menor nivel educacional aumentó 20 veces la mortalidad, constituyendo una causa inversa. Respecto al sexo las mujeres murieron 2,08 veces más que los hombres. Para el nivel socioeconómico alto en relación al bajo un OR [1.88 (1.83 a 1,94)], p<0,0001], para el nivel educacional alto en relación al bajo fue a favor del mayor nivel educacional con OR [0,5 (0,47 - 0,52)] y en cuanto a la comparación de sexos un OR [1,04 (1,03-2,17), p=0,039]. Es decir, la diferencia entre mortalidad que hubo fue significativa para todos los intervalos tanto para sexo, nivel educacional como para nivel socioeconómico. Se encontró una constante de 0,013 de mortalidad basal, es decir, todos tienen 1,3% de riesgo de morir por cáncer de mama independiente del nivel socioeconómico, educacional y del sexo. Conclusión: Existen diferencias estadísticamente significativas respecto a la mortalidad entre los niveles socioeconómicos altos y bajos y también en nivel educacional, sin embargo, al realizar los métodos de regresión se obtuvo una mayor mortalidad y mayor riesgo de morir por cáncer de mama en los niveles socioeconómicos más altos asociados a, probablemente, la menor cantidad de tamizajes y realización de mamografías en este estrato. A partir del año 2008 se observó un incremento a los niveles originales observados al inicio del segundo milenio incrementando las diferencias existentes en los índices de desigualdad tanto por nivel educacional como por nivel socioeconómico incrementando en 20 veces respecto al nivel educacional, y 1.88 respecto al nivel socioeconómico.
Introduction: Breast cancer is the leading cause of death in cancers in Chile according to Globocan 2018. Among the factors that explain this high mortality, we find a low rate of detection and performance of mammograms in high socioeconomic levels. This is why understanding the causes of death and the factors that affect mortality and fatality from breast cancer in the last 17 years will allow us to focus on public policies for the next 50 years Materials and Methods: Retrospective longitudinal cohort study in 79,996 hospital discharges and 20,220 deaths obtained from the DEIS MINSAL page, years 2001 -2016. For the univariate analysis, a Prais-Weinstein rate adjustment regression was performed according to age and sex according to the WHO rate adjustment model. For discrete type variables, they were described by percentages and rates, and median and standard deviation were used for continuous type variables. A smirnov-kolmolgorov test was performed to determine the type of distribution and normality of the samples. For dichotomous variables, a binary logistic regression model was used to describe these variables and determine the possible association between the socioeconomic and educational level of the patients diagnosed with breast cancer. Abstract: In this observational, longitudinal and retrospective study with 101.292 patients that includes men and women of all ages with diagnosis of breast cancer all along Chile, we´ll analyze the impact of socioeconomic level, evaluated through educational level and money income, into the prevalence, mortality and lethality of breast cancer in the years 2001 to 2016. Results: People with a high socioeconomic level died 1.88 times more, with a CI between 1.83 and 1.94, than those with a low socioeconomic level. On the other hand, people with a higher educational level died 0.5 times less according to the regression carried out with respect to the low educational level with a CI between 0.47 and 0.52, but the lower the educational level the mortality increased 20 times, constituting an inverse cause. Regarding sex, women died 2.08 times more than men. For the high socioeconomic level in relation to the low one an OR [1.88 (1.83 to 1.94)], p<0.0001], for the high educational level in relation to the low one it was in favor of the higher educational level with OR [0.5 (0.47 - 0.52)] and as for the comparison of sexes an OR [1.04 (1.03-2.17), p=0.039]. In other words, the difference between mortality was significant for all the intervals for sex, educational level and socioeconomic level. A constant baseline mortality of 0.013 was found, i.e., everyone has a 1.3% risk of dying from breast cancer regardless of socioeconomic level, educational level and sex. Conclusions: There are statistically significant differences in mortality between high and low socioeconomic levels and also in educational level; however, when regression methods were used, a higher mortality and higher risk of dying from breast cancer was obtained in the higher socioeconomic levels, probably associated with the lower number of screenings and mammograms performed in this stratum. As of 2008, an increase to the original levels observed at the beginning of the second millennium was observed, increasing the existing differences in the inequality indexes both by educational level and socioeconomic level, increasing by 20 times with respect to educational level, and 1.88 times with respect to socioeconomic level.
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Humans , Male , Female , Social Class , Breast Neoplasms/epidemiology , Mortality , Educational Status , Breast Neoplasms/diagnosis , Poisson Distribution , Chile/epidemiology , Age and Sex DistributionABSTRACT
Objective:To explore the distinctions between different educational levels: stability of learning state, views on and demand for online courses, and further investigate the influencing factors.Methods:A self-designed questionnaire with good reliability and validity was conducted, and all the students in a military medical university were selected by cluster sampling method, and the data were collected by issuing a network questionnaire. SPSS 26.0 was used for data processing.Results:Undergraduates were different from graduates and doctoral students in stability of learning state, the period of home study: doctoral students (2.41±1.30) h < graduates (2.10±1.17) h and undergraduates (2.15±0.99) h; the frequency of using online courses: undergraduates (4.18±1.10) times > graduates (3.29±1.16) times and doctoral students (3.29±0.98) times. In terms of views on online courses, necessity: undergraduates (4.14± 1.01) > graduates (3.93±1.05) and doctoral students (3.78±1.03); familiarity: undergraduates (3.42 ± 0.91) > graduates (3.27±0.97); adaptability: undergraduates (3.79±0.91) > graduates (3.58±0.94) and doctoral students (3.63±0.97); likability: undergraduates (3.36±1.04) > undergraduates (3.25±0.96) and doctoral students (3.17 ± 1.01); teaching effect: undergraduates (2.80±1.04) > graduates (2.67±1.01) and doctoral students (2.61±1.03). In terms of demand for online courses, ideal number: undergraduates (2.52±1.27) > graduates (2.11±1.21) and doctoral students (2.01±1.25); class style: undergraduates (1.77±0.94) > graduates (2.00±0.92) and doctoral students (2.04±1.83). There were statistically significant differences between undergraduates and postgraduates in all dimensions ( P<0.01 or P<0.05). Conclusion:Undergraduates may be more susceptible to academic environment than graduates and doctoral students, showing that the learning stability of undergraduates is the relatively the worst. Undergraduates most recognize online courses, and different educational levels have different demands for online courses.
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ABSTRACT In elderly individuals, low educational level may represent a risk factor for the development of dementia and a proxy of cognitive reserve. Objective: This study examined the cognitive and neuroanatomic correlates of high versus low educational levels in cognitively healthy community-dwelling older adults in Brazil. Methods: Fifty-three older adults (mean age: 68±5.3 years) were divided into a "low education" group [LE; 1-4 years of education (N=33)] and "high education" group [HE; >11 years of education (N=20)]. Both groups completed a comprehensive neuropsychological battery and underwent in vivo structural MRI close to the time of testing. Results: Higher educational level increased the chance of having better scores on neuropsychological tests, including verbal and visual delayed recall of information, verbal learning, category fluency, global cognition, and vocabulary. Better scores on these tests were observed in the HE group relative to the LE group. Despite this, there were no group differences between MRI measures. Conclusion: Older adults with higher educational levels showed better scores on neuropsychological measures of cognition, highlighting the need for education-adjusted norms in developing countries. Given the absence of differences in structural anatomy between the groups, these findings appear to be best explained by theories of cognitive reserve.
RESUMO Sabe-se que baixos níveis de educação são comuns em países em desenvolvimento. Em indivíduos idosos, em particular, baixos níveis de educação podem representar um fator de risco para o desenvolvimento de demência. Objetivo: Este estudo examina os correlatos cognitivos e neuroanatômicos de escolaridade alta versus baixa, em idosos cognitivamente saudáveis,vivendo em comunidade no Brasil. Métodos: Cinquenta e três idosos (média de idade: 68±5,3) foram divididos em um grupo de "baixa escolaridade" [LE; 1-4 anos de escolaridade (N=33)] e um grupo de "alta escolaridade" [HE; >11 anos de escolaridade (N=20)]. Ambos os grupos completaram uma bateria neuropsicológica abrangente e foram submetidos à RM estrutural in vivo próximo à testagem. Resultados: O nível educacional aumentou a chance de se obter melhores pontuações em testes neuropsicológicos, incluindo evocação verbal e visual da informação, aprendizagem verbal, fluência de categoria, cognição global e vocabulário. Escores mais altos foram encontrados no grupo HE, em detrimento do LE. Apesar disso, não houve diferenças entre os grupos nas medidas de ressonância magnética in vivo. Conclusão: Idosos com maiores níveis de escolaridade apresentaram melhores pontuações nas medidas neuropsicológicas da cognição, destacando a necessidade de normas ajustadas à educação nos países em desenvolvimento. Não havendo diferenças na anatomia estrutural entre os grupos, os achados parecem ser melhor explicados pelas teorias da "reserva cognitiva".
Subject(s)
Humans , Magnetic Resonance Spectroscopy , Educational Status , Cognitive Reserve , Cognitive Aging , Neuropsychological TestsABSTRACT
OBJECTIVE: To assess cognitive measures and impact of education on cognitive performance (CP) of low educational levels healthy adults (LELHA) on a Neuropsychological Protocol (NP) suggested by the Liga Brasileira de Epilepsia. METHOD: 138 subjects from an Education Program for Adults divided into two, age and gender matched groups of 69 subjects, answered the NP: Group 1 (mean of 6.9±2.95 months of formal education) and Group 2, 47.8±10 months. Data were compared as z-scores. RESULTS: The mean IQ was 77.1±5.50 and 79.4±3.30 in Groups 1 and 2, respectively (p=0.001). Both performed below the normal curve and Group 1 worse than 2. CP correlated with schooling, especially executive functions (54.1 percent vs 36.2 percent) and language (52.9 percent vs 25.7 percent). CONCLUSION: LELHA showed significant cognitive impairment in verbal and visuospatial areas. If these results had been obtained in epilepsy patients they would be interpreted as global cognitive impairment.
OBJETIVO: Avaliar o desempenho cognitivo e o impacto do nível de educação formal em indivíduos adultos saudáveis com baixa escolaridade (IASBE) em um protocolo neuropsicológico (PN) sugerido pela Liga Brasileira de Epilepsia. MÉTODO: 138 indivíduos do programa EJA - Educação para Jovens e Adultos, divididos em 2 grupos de 69 sujeitos pareados por idade e sexo (6,9±2,95 vs 47,8±10 meses de escolaridade) responderam ao PN. Dados foram convertidos em z-scores. RESULTADOS: O QI médio foi 77,1±5,50 e 79,4±3,30 nos Grupos 1 e 2, respectivamente (p=0,001). Ambos tiveram resultados abaixo da curva normal e o Grupo 1 mostrou pior desempenho do que o 2, especialmente nas funções executivas (54,1 por cento vs 36,2 por cento) e linguagem (52,9 por cento vs 25,7 por cento). CONCLUSÃO: IASBE apresentaram comprometimento cognitivo tanto em tarefas verbais como visuoespaciais. Se estes resultados tivessem sido obtidos em pacientes com epilepsia seriam interpretados como indicativos de disfunção cognitiva global.
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Adult , Aged , Female , Humans , Male , Middle Aged , Young Adult , Cognition Disorders/psychology , Epilepsy/psychology , Neuropsychological Tests , Attention/physiology , Brazil , Educational Status , Executive Function/physiology , Language Tests , Learning , Memory , Psychomotor PerformanceABSTRACT
PURPOSE: The National Institutes of Health chronic prostatitis symptom index (NIH-CPSI) provides a valid outcome measure for men with chronic prostatitis. We surveyed a population of 20 year old Korean men using NIH-CPSI, and evaluated whether differences of dwelling regions and educational levels impacted on symptom index. MATERIALS AND METHODS: Between May and July 2000, a total of 12,659 male residents in the area of Chungnam including city of Taejoen visited the Military Manpower Administration. The 10,205 participants (response rate 80.6%) completed a self-administered questionnaire. The collected data were then used to estimate the impact of dwelling regions and educational levels on symptom index. RESULTS: Urinary symptoms and quality of life domain scores of participants dwelling in urban community regions were significantly higher than those in rural community (p<0.001, p=0.004, respectively). Pain and quality of life domain scores of participants with higher educational levels were significantly higher than those of lower educational levels (p<0.001, p<0.001, respectively). Pain domain was influenced by educational levels rather than dwelling regions and urinary symptom domain was influenced by dwelling regions rather than educational levels. CONCLUSIONS: Our findings show that the prevalence of chronic prostatitis may be influenced by dwelling regions and educational levels. We suggest that the differences of prevalence based on dwelling regions and educational levels should be considered as the characteristics of chronic prostatitis.