Fatores de risco para absenteísmo com licença médica em trabalhadores da indústria de petróleo

OBJECTIVE : To identify risk factors for absenteeism among workers with sick leave in an oil company. METHODS : A case-control study (120 cases and 656 controls) nested in a retrospective cohort study following up all employees of an oil company in the North-Northeast of Brazil from 2007 to 2009. The response variable used to represent absenteeism with sick leave was the average incidence of sick leave, defined as the ratio between total sick days and potential working days in the period. Logistic regression techniques were used to investigate the association between average incidence of sick leave >; 5.0% over the period and the variables sex, position, age, time at work, shift work, smoking, arterial hypertension, body mass index, physical activity, coronary risk, sleep, glycemia, non-managed diabetes, cardiovascular, digestive, musculoskeletal, neurological and neoplastic diseases, straining body positioning during work, satisfaction at work, relationship with management, and concentrated attention at work. RESULTS : Average incidence of sick leave higher than 5.0% in the cohort period was 15.5%. The logistic model revealed that workers with average incidence of sick leave higher than 5.0% were 2.6 times more likely to be female; 2.0 time more likely to be smokers; 1.8 time more likely to be former smokers; 2.2 times more likely to report abnormal sleep and 10.5 times more likely to report dissatisfaction with their than workers with average incidence of sick leave ≤ 5.0% in the period. CONCLUSIONS : In this population, female gender, being a smoker or a former smoker, reporting dissatisfaction with the job and reporting abnormal sleep are good predictors of occupational absenteeism with sick leave.OBJETIVO : Identificar factores de riesgo para el ausentismo con licencia médica en trabajadores de empresa del petróleo. MÉTODOS : Estudio caso-control (120 casos y 656 controles) anidado en una cohorte retrospectiva con todos los trabajadores de una empresa de petróleo en la Región Norte-Nordeste de Brasil entre 2007 y 2009. La variable respuesta utilizada para representar el ausentismo con licencia médica fue la incidencia promedio de faltas con licencias médicas durante el período, definida por el cociente entre el total de días de licencias médicas y los días potencialmente trabajables. Se utilizó análisis de regresión logística para investigar la asociación entre incidencia promedio de faltas >; 5,0% en el período y las variables sexo, cargo, edad, tiempo de actuación, régimen de trabajo, tabaquismo, hipertensión arterial, índice de masa corporal, actividad física, riesgo coronario, sueño, glicemia, diabetes no controlada, enfermedad del aparato cardiovascular, digestivo, aparato locomotor, neurológica, neoplasia, posturas forzadas en el trabajo, satisfacción con el trabajo, relacionamiento con el jefe y atención concentrada en el trabajo. RESULTADOS : La incidencia promedio de faltas con licencias médicas >; 5,0% en el período de la cohorte fue de 15,5%. El modelo logístico reveló que trabajadores con incidencia promedio de faltas >; 5,0% tuvieron 2,6 veces más chance de ser del sexo femenino; 2,0 veces más chances de ser fumador; 1,9 veces más chance de ser ex-fumador; 2,1 veces más chance de relatar sueño anormal y 10,5 veces más chances de estar insatisfechos con el trabajo, en comparación con los trabajadores con incidencia promedio de faltas ; 5,0% no período e as variáveis sexo, cargo, idade, tempo de atuação, regime de trabalho, tabagismo, hipertensão arterial, índice de massa corporal, atividade física, risco coronariano, sono, glicemia, diabetes não controlado, doença do aparelho cardiovascular, digestivo, aparelho locomotor, neurológica, neoplasia, posturas forçadas no trabalho, satisfação com o trabalho, relacionamento com a chefia e atenção concentrada no trabalho. RESULTADOS : A incidência média de faltas com licenças médicas >; 5,0% no período da coorte foi 15,5%. O modelo logístico revelou que trabalhadores com incidência média de faltas >; 5,0% tiveram 2,6 vezes mais chance de ser do sexo feminino; 2,0 vezes mais chance de ser fumante; 1,8 vez mais chance de ser ex-fumante, 2,2 vezes mais chance de relatar sono anormal e 10,5 vezes mais chance de estarem insatisfeitos com o trabalho do que trabalhadores com incidência média de faltas ≤ 5,0% no período. CONCLUSÕES : Sexo feminino, ser fumante ou ex-fumante, estar insatisfeito com o trabalho e relatar sono anormal são bons preditores de absenteísmo ao trabalho por doença

Impact of COVID-19 on cardiovascular testing in the United States versus the rest of the world

Objectives: This study sought to quantify and compare the decline in volumes of cardiovascular procedures between the United States and non-US institutions during the early phase of the coronavirus disease-2019 (COVID-19) pandemic. Background: The COVID-19 pandemic has disrupted the care of many non-COVID-19 illnesses. Reductions in diagnostic cardiovascular testing around the world have led to concerns over the implications of reduced testing for cardiovascular disease (CVD) morbidity and mortality. Methods: Data were submitted to the INCAPS-COVID (International Atomic Energy Agency Non-Invasive Cardiology Protocols Study of COVID-19), a multinational registry comprising 909 institutions in 108 countries (including 155 facilities in 40 U.S. states), assessing the impact of the COVID-19 pandemic on volumes of diagnostic cardiovascular procedures. Data were obtained for April 2020 and compared with volumes of baseline procedures from March 2019. We compared laboratory characteristics, practices, and procedure volumes between U.S. and non-U.S. facilities and between U.S. geographic regions and identified factors associated with volume reduction in the United States. Results: Reductions in the volumes of procedures in the United States were similar to those in non-U.S. facilities (68% vs. 63%, respectively; p = 0.237), although U.S. facilities reported greater reductions in invasive coronary angiography (69% vs. 53%, respectively; p < 0.001). Significantly more U.S. facilities reported increased use of telehealth and patient screening measures than non-U.S. facilities, such as temperature checks, symptom screenings, and COVID-19 testing. Reductions in volumes of procedures differed between U.S. regions, with larger declines observed in the Northeast (76%) and Midwest (74%) than in the South (62%) and West (44%). Prevalence of COVID-19, staff redeployments, outpatient centers, and urban centers were associated with greater reductions in volume in U.S. facilities in a multivariable analysis. Conclusions: We observed marked reductions in U.S. cardiovascular testing in the early phase of the pandemic and significant variability between U.S. regions. The association between reductions of volumes and COVID-19 prevalence in the United States highlighted the need for proactive efforts to maintain access to cardiovascular testing in areas most affected by outbreaks of COVID-19 infection

Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories: a pooled analysis of 2181 population-based studies with 65 million participants

Summary Background Comparable global data on health and nutrition of school-aged children and adolescents are scarce. We aimed to estimate age trajectories and time trends in mean height and mean body-mass index (BMI), which measures weight gain beyond what is expected from height gain, for school-aged children and adolescents. Methods For this pooled analysis, we used a database of cardiometabolic risk factors collated by the Non-Communicable Disease Risk Factor Collaboration. We applied a Bayesian hierarchical model to estimate trends from 1985 to 2019 in mean height and mean BMI in 1-year age groups for ages 5–19 years. The model allowed for non-linear changes over time in mean height and mean BMI and for non-linear changes with age of children and adolescents, including periods of rapid growth during adolescence. Findings We pooled data from 2181 population-based studies, with measurements of height and weight in 65 million participants in 200 countries and territories. In 2019, we estimated a difference of 20 cm or higher in mean height of 19-year-old adolescents between countries with the tallest populations (the Netherlands, Montenegro, Estonia, and Bosnia and Herzegovina for boys; and the Netherlands, Montenegro, Denmark, and Iceland for girls) and those with the shortest populations (Timor-Leste, Laos, Solomon Islands, and Papua New Guinea for boys; and Guatemala, Bangladesh, Nepal, and Timor-Leste for girls). In the same year, the difference between the highest mean BMI (in Pacific island countries, Kuwait, Bahrain, The Bahamas, Chile, the USA, and New Zealand for both boys and girls and in South Africa for girls) and lowest mean BMI (in India, Bangladesh, Timor-Leste, Ethiopia, and Chad for boys and girls; and in Japan and Romania for girls) was approximately 9–10 kg/m2. In some countries, children aged 5 years started with healthier height or BMI than the global median and, in some cases, as healthy as the best performing countries, but they became progressively less healthy compared with their comparators as they grew older by not growing as tall (eg, boys in Austria and Barbados, and girls in Belgium and Puerto Rico) or gaining too much weight for their height (eg, girls and boys in Kuwait, Bahrain, Fiji, Jamaica, and Mexico; and girls in South Africa and New Zealand). In other countries, growing children overtook the height of their comparators (eg, Latvia, Czech Republic, Morocco, and Iran) or curbed their weight gain (eg, Italy, France, and Croatia) in late childhood and adolescence. When changes in both height and BMI were considered, girls in South Korea, Vietnam, Saudi Arabia, Turkey, and some central Asian countries (eg, Armenia and Azerbaijan), and boys in central and western Europe (eg, Portugal, Denmark, Poland, and Montenegro) had the healthiest changes in anthropometric status over the past 3·5 decades because, compared with children and adolescents in other countries, they had a much larger gain in height than they did in BMI. The unhealthiest changes—gaining too little height, too much weight for their height compared with children in other countries, or both—occurred in many countries in sub-Saharan Africa, New Zealand, and the USA for boys and girls; in Malaysia and some Pacific island nations for boys; and in Mexico for girls. Interpretation The height and BMI trajectories over age and time of school-aged children and adolescents are highly variable across countries, which indicates heterogeneous nutritional quality and lifelong health advantages and risks

Rising rural body-mass index is the main driver of the global obesity epidemic in adults

Body-mass index (BMI) has increased steadily in most countries in parallel with a rise in the proportion of the population who live in cities(.)(1,2) This has led to a widely reported view that urbanization is one of the most important drivers of the global rise in obesity(3-6). Here we use 2,009 population-based studies, with measurements of height and weight in more than 112 million adults, to report national, regional and global trends in mean BMI segregated by place of residence (a rural or urban area) from 1985 to 2017. We show that, contrary to the dominant paradigm, more than 55% of the global rise in mean BMI from 1985 to 2017-and more than 80% in some low- and middle-income regions-was due to increases in BMI in rural areas. This large contribution stems from the fact that, with the exception of women in sub-Saharan Africa, BMI is increasing at the same rate or faster in rural areas than in cities in low- and middle-income regions. These trends have in turn resulted in a closing-and in some countries reversal-of the gap in BMI between urban and rural areas in low- and middle-income countries, especially for women. In high-income and industrialized countries, we noted a persistently higher rural BMI, especially for women. There is an urgent need for an integrated approach to rural nutrition that enhances financial and physical access to healthy foods, to avoid replacing the rural undernutrition disadvantage in poor countries with a more general malnutrition disadvantage that entails excessive consumption of low-quality calories.Peer reviewe

Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight NCD Risk Factor Collaboration (NCD-RisC)

From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia and sub-Saharan Africa, the underweight tail of the BMI distribution was left behind as the distribution shifted. There is a need for policies that address all forms of malnutrition by making healthy foods accessible and affordable, while restricting unhealthy foods through fiscal and regulatory restrictions

Fatores de risco para absenteísmo com licença médica em trabalhadores da indústria de petróleo

OBJETIVO : Identificar fatores de risco para o absenteísmo com licença médica em trabalhadores de empresa de petróleo. MÉTODOS : Estudo caso-controle (120 casos e 656 controles) aninhado a um estudo de coorte retrospectivo com todos os trabalhadores de uma empresa de petróleo na Região Norte-Nordeste do Brasil entre 2007 e 2009. A variável resposta utilizada para representar o absenteísmo com licença médica foi a incidência média de faltas com licenças médicas no período, definida pela razão entre o total de dias de licenças médicas e os dias potencialmente trabalháveis no período. Análise de regressão logística foi utilizada para investigar a associação entre incidência média de faltas > 5,0% no período e as variáveis sexo, cargo, idade, tempo de atuação, regime de trabalho, tabagismo, hipertensão arterial, índice de massa corporal, atividade física, risco coronariano, sono, glicemia, diabetes não controlado, doença do aparelho cardiovascular, digestivo, aparelho locomotor, neurológica, neoplasia, posturas forçadas no trabalho, satisfação com o trabalho, relacionamento com a chefia e atenção concentrada no trabalho. RESULTADOS : A incidência média de faltas com licenças médicas > 5,0% no período da coorte foi 15,5%. O modelo logístico revelou que trabalhadores com incidência média de faltas > 5,0% tiveram 2,6 vezes mais chance de ser do sexo feminino; 2,0 vezes mais chance de ser fumante; 1,8 vez mais chance de ser ex-fumante, 2,2 vezes mais chance de relatar sono anormal e 10,5 vezes mais chance de estarem insatisfeitos com o trabalho do que trabalhadores com incidência média de faltas ≤ 5,0% no período. CONCLUSÕES : Sexo feminino, ser fumante ou ex-fumante, estar insatisfeito com o trabalho e relatar sono anormal são bons preditores de absenteísmo ao trabalho por doença

On the Selection of Relevant Hardware Events for Explaining Execution Time Behavior

International audienceEstimating safe upper bounds on task execution times is required in the design of predictable real-time systems. When multi-core, instruction pipeline, branch prediction, or cache memory are in place, due to the considerable complexity static timing analysis faces, measurement-based timing analysis (MBTA) is a more tractable option. MBTA estimates upper bounds on execution times using data measured under the execution of representative scenarios. In this context, it is paramount understanding not only how the task execution time is affected during its execution but also what kind of interference the task is sensitive to. Events such as cache misses or pipeline stalls, for example, may lead to large variability in task execution times. Based on the fact that current platforms offer Performance Monitoring Units (PMUs) capable of counting hardware-level event occurrences, in this paper, we focus on the problem of selecting the events that have the most impact on task execution with the goal of enriching the collected information to better support MBTA. Unfortunately, PMU usually have a limited number of monitoring registers, making them unable to monitor all events at once. Our approach describes how to carry out the events selection even under this limitation. Results from our experiments, considering 15 different programs running on a Raspberry Pi, indicate that five selected events can explain the execution behavior of the programs with reasonable accuracy

Environmental indicators of intra-urban hetererogeneity

A large number of human diseases are related to poor access to water and sewer systems, inadequate solid waste management and deficient storm water drainage. The goal of this study was to formulate environmental sanitation indicators and classify sanitation conditions in specific sewer basins and their respective neighborhoods. The database used contains information on the following sanitation components in these areas: water supply, sewer systems, urban drainage, road pavement, building typology and public cleaning. Data was analyzed using cluster analysis. The key variable of each component was identified, and eight sewer basins and twenty-three neighborhoods were classified into the following categories: good, regular, and poor. The use of environmental sanitation indicators allows decision makers to identify critical areas and define priorities for improving environmental sanitation conditions

Environmental indicators of intra-urban hetererogeneity Indicadores ambientales para detectar la heterogeneidad intra-urbana Indicadores ambientais para detectar heterogeneidade intraurbana

A large number of human diseases are related to poor access to water and sewer systems, inadequate solid waste management and deficient storm water drainage. The goal of this study was to formulate environmental sanitation indicators and classify sanitation conditions in specific sewer basins and their respective neighborhoods. The database used contains information on the following sanitation components in these areas: water supply, sewer systems, urban drainage, road pavement, building typology and public cleaning. Data was analyzed using cluster analysis. The key variable of each component was identified, and eight sewer basins and twenty-three neighborhoods were classified into the following categories: good, regular, and poor. The use of environmental sanitation indicators allows decision makers to identify critical areas and define priorities for improving environmental sanitation conditions.<br>Varias enfermedades que afectan a los seres humanos están vinculadas a la deficiencia en el acceso a servicios de agua y alcantarillado, la gestión inadecuada de los residuos sólidos y el deficiente sistema de drenaje de aguas pluviales. Este estudio trata de desarrollar indicadores de salud ambiental y clasificar las áreas dentro de las ciudades. Se utilizó una base de datos que contiene información sobre: limpieza urbana, abastecimiento de agua, alcantarillado, drenaje y calles, pavimentación de las calles y tipología de construcción en diferentes barrios. Se aplicó la técnica de clúster para el análisis de datos. Se identificó la variable que mejor representa cada componente y veintitrés áreas de la ciudad se clasificaron en tres categorías: buena, regular y mala. El uso de indicadores de salud ambiental permitió la identificación de áreas críticas y el establecimiento de prioridades en la inversión para la salud y mejora del medio ambiente.<br>Várias patologias que acometem os seres humanos estão ligadas à deficiência de acesso a água e serviços de esgotamento sanitário, inadequado manejo de resíduos sólidos e deficiência do sistema de drenagem das águas pluviais. Este estudo buscou desenvolver indicadores sanitário ambientais e classificar áreas intraurbanas. Utilizou-se uma base de dados contendo informações sobre: abastecimento de água, sistema de esgoto, drenagem e limpeza urbana, pavimentação e tipologia construtiva referentes a bacias de esgotamento sanitário e áreas sentinela. Foi aplicada a técnica de analise de cluster. Identificou-se a variável que melhor representava cada componente, e oito bacias de esgotamento e vinte e três áreas sentinelas foram classificadas em três categorias: boa, regular e insatisfatória. O uso de indicador sanitário ambiental permitiu a identificação de áreas críticas e o estabelecimento de prioridades de investimentos para as melhorias sanitário ambientais