Produção de biscoitos recheados com formação de organogel na base gordurosa / Production of sandwich cookies with the formation of organogel in the fatty base

A fim de atender à demanda do público que atualmente busca por alimentos mais saudáveis, as indústrias têm procurado alternativas que possibilitem a aplicação de ingredientes que agreguem valor nutricional aos produtos. A redução de gorduras saturadas e trans em produtos alimentícios, bem como a inserção de cereais ou farinhas nutricionais, vem sendo aplicadas em produtos de panificação. Biscoitos recheados possuem como bases geralmente biscoitos à base de farinha de trigo. O objetivo foi desenvolver formulação de biscoitos recheados com substituição de gordura vegetal por organogel no recheio e de farinha de trigo por farinha de sorgo no biscoito, a fim de agregar valor nutricional ao produto. Foram desenvolvidos biscoitos recheados: 1) recheio controle e com substituição da gordura vegetal dos recheios por organogel elaborado com sistema emulsionado (colágeno + óleo vegetal + água), a fim de diminuir concentrações de gorduras saturadas e trans. 2) para a base elaborouse biscoitos controle (farinha de trigo) e com substituição parcial e total de farinha de trigo por farinha de sorgo em 50% (50FS) e 100% (100FS). Foram conduzidas nos recheios e das bases dos biscoitos análises físicas e físico-químicas (textura, atividade de água, cor, composição centesimal e reologia) para avaliação e para análise de estabilidade de 6 semanas. Os resultados apresentaram que o biscoito 50FS obteve melhor valor de textura (Controle: 16,09 ± 1,28 N; 50FS: 19,63 ± 5,68 N e 100FS: 10,09 ± 0,65 N) e menor teor de atividade de água (Semana 01: 0,327±0,01 e Semana 06: 0,389 ± 0,00) do que o biscoito controle, durante análise de estabilidade. O biscoito 100FS apresentou coloração mais avermelhada. Os biscoitos 50FS e 100FS apresentaram maior teor proteico do que o controle (Controle: 5,37 ± 0,23 %; 50FS: 5,64 ± 0,49 % e 100FS: 5,75 ± 0,49 %). O recheio com organogel apresentou maior dureza (N) durante análise de estabilidade do que o recheio controle (Semana 6 Organogel: 6,81±1,48; Controle: 4,29±0,38). Os parâmetros de adesividade, coesividade e gomosidade do recheio com organogel não apresentaram diferenças significativas (p > 0,05). Os valores de atividade de água da formulação com organogel foram mais altos do que o recheio controle (Semana 6 Organogel: 0,730±0,00; Controle: 0,555±0,01). O valor de L* foi maior para o recheio controle, apresentando coloração mais amarelada do que a formulação com organogel. O recheio com organogel apresentou redução de 65 % do teor lipídico e aumento do teor proteico. Os recheios controle, com organogel e de mercado apresentaram comportamento tixotrópico durante a avaliação reológica, sendo que o produto de mercado teve comportamento próximo à formulação controle, com recuperação quase total da estrutura. Foram desenvolvidos cinco produtos, sendo três inovadores com valor nutricional agregado, atendendo às legislações vigentes, vida útil mínima de 6 semanas e ao apelo do mercado atual, podendo ser comercializados como biscoito recheado

In order to satisfy the demand of the public that is currently looking for healthier foods industries have been looking for alternatives that allow the application of ingredients that add nutritional value to the products. The reduction of saturated and trans fats in food products, as well as the insertion of cereals or nutritional flours, has been applied in bakery products. Filled cookies are usually based on wheat flour. The objective was to develop a formulation of filled cookies with replacement of vegetable fat for organogel in the filling and wheat flour for sorghum flour in the biscuit, in order to add nutritional value to the product. In this study, cookies filled with vegetable fat and wheat flour were used as a control where: 1) filling was replaced by organogel elaborated with an emulsified system (collagen + vegetable oil + water); and 2) base was prepared with partial and total replacer of wheat flour for sorghum flour in 50% (50FS) and 100% (100FS). Physical and physicochemical analyzes (texture, water activity, color, proximate composition and rheology) were carried out on the fillings and bases of the biscuits for evaluation and for the stability analysis of 6 weeks. The results showed that the 50FS cookies had a better texture value (Control: 16,09±1,28 N; 50FS: 19,63±5,68N and 10,09±0,65 N) and lower content of water activity (Week 1: 0,327±0,01 and Week 6: 0,389±0,00) than the control cookie during stability analysis. The 100FS had a more reddish color. The 50FS and 100FS cookies had a higher protein content than the control (Control: 5,37±0,23 %; 50FS 5,64±0,49 %). The fillings with organogel showed a higher hardness (N) than the control during stability analysis (Week 6 Organogel: 6,81±1,48; Control: 4,29±0,38). The parameters of adhesiveness, cohesiveness and guminess of the filling with organogel showed no significant differences (p> 0.05). The water activity values of the organogel formulation were higher than the control filling (Week 6 Organogel: 0,730±0,00; Control: 0,555±0,01). The value of L * was higher for the control filling, showing a more yellowish color than the formulation with organogel. The filling with organogel showed a 65% reduction in lipid content and an increase in protein content. The control, organogel and market fillings showed a thixotropic behavior in the rheological evaluation, and the market product had a behavior close to the control formulation, with almost total recovery of the structure. Five products were developed, three of which were innovative with added nutritional value, in compliance with current legislation, a minimum shelf life of 6 weeks, which can be sold as a stuffed cookies.

Industry and workplace characteristics associated with the downloading of a COVID-19 contact tracing app in Japan: a nation-wide cross-sectional study.

BACKGROUND: To combat coronavirus disease 2019 (COVID-19), many countries have used contact tracing apps, including Japan's voluntary-use contact-confirming application (COCOA). The current study aimed to identify industry and workplace characteristics associated with the downloading of this COVID-19 contact tracing app. METHODS: This cross-sectional study of full-time workers used an online survey. Multiple logistic regression analysis was used to evaluate the associations of industry and workplace characteristics with contact tracing app use. RESULTS: Of the 27,036 participants, 25.1% had downloaded the COCOA. Workers in the public service (adjusted odds ratio [aOR] = 1.29, 95% confidence interval [CI] 1.14-1.45) and information technology (aOR = 1.38, 95% CI 1.20-1.58) industries were more likely to use the app than were those in the manufacturing industry. In contrast, app usage was less common among workers in the retail and wholesale (aOR = 0.87, 95% CI 0.76-0.99) and food/beverage (aOR = 0.81, 95% CI 0.70-0.94) industries, but further adjustment for company size attenuated these associations. Workers at larger companies were more likely to use the app. Compared with permanent employees, the odds of using the app were higher for managers and civil servants but lower for those who were self-employed. CONCLUSIONS: Downloading of COCOA among Japanese workers was insufficient; thus, the mitigating effect of COCOA on the COVID-19 pandemic is considered to be limited. One possible reason for the under-implementation of the contact tracing app in the retail and wholesale and food/beverage industries is small company size, as suggested by the fully adjusted model results. An awareness campaign should be conducted to promote the widespread use of the contact tracing app in these industries.

Drug Shop Intervention to Enhance Knowledge, Attitude, and Practices of Patent Medicine Vendors for the Control of COVID-19 In Southeastern Nigeria.

Drug shops are the first point of care for most community members in low-resource countries. Because of symptomatic similarities with common illnesses such as malaria, probable coronavirus disease 2019 (COVID-19) cases may seek care at drug shops, where the knowledge and skills required to handle it may be lacking, thereby fostering community spread of the disease. This single-arm study provided an intervention to improve COVID-19-related knowledge, attitude, and practices of patent medicine vendors (PMVs) in 97 participating drug shops selected through cluster sampling in Owerri, southeastern Nigeria. The intervention involved a drug shop sensitization using information, education, and communication material, as well as training on the use of a risk assessment checklist to identify probable COVID-19 cases and to take appropriate action. Data were collected to determine the effect of this intervention using a pre-tested questionnaire and practice observation checklist, first at baseline and then 3 months post-intervention. Data analysis involved exploratory analysis and the t-test to determine pre- and post-intervention mean score differences at the 5% α level. There was post-intervention knowledge improvement on the COVID-19 causative pathogen (98.1% post-intervention versus 61.9% pre-intervention) and disease transmissibility from person to person (95.9% post-intervention versus 81.4% pre-intervention) among other knowledge domains. There was significant post-intervention improvement for positive attitude, with a mean gain score of 2.8 ± 1.7 (t = 4.4, P = 0.005), and preventive practices, with a mean gain score of 6.0 ± 4.7 (t = 4.1, P = 0.007). Engaging patent medicine vendors in the pandemic response plans through targeted interventions such as drug shop intervention could prove vital in the fight against COVID-19.

Assessment of Occupational Injury among Industrial Workers in the Bahir Dar City of Northwest Ethiopia: Institution-Based Cross-Sectional Study.

Background: Ethiopia is one of the economically fastest growing countries in the world. Industries in Ethiopia are booming, and Bahir Dar is one of the industrial zones in the country. The city administration is planning to recruit the majority of the workforce in these industries. However, injuries related to occupations in the industries are not that much studied yet. Therefore, this study aimed to assess the prevalence of occupational injury and its associated factors among industrial workers in the Bahir Dar city of Northwest Ethiopia. Methods and Materials: Institution-based cross-sectional study design was used. Multistage stratified random sampling technique was employed to select 846 study participants from each stratum (small-, medium-, and large-scale industries). Data were analyzed using Statistical Package for Social Sciences (SPSS), version 21. Binary logistic regression was employed to determine the existence of an association between dependent and independent variables. Result: A total of 803 participants were included in the study with a response rate of 95%. The mean age of respondents was 28.9 years (SD ± 8 years). Five hundred nine (63.4%) were occupationally injured in the last 12 months. Sex (AOR = 3.66, 95% CI = (2.53-5.29)), employment status (AOR = 7.33, 95% CI = (3.31-16.22)), regular health and safety supervision (AOR = 2.66, 95% CI= (1.79-3.96)), training prior to entry to actual work (AOR = 3.18, 95% CI= (2.14-4.74)), and use of personal protective equipment (PPE) (AOR = 2.48, 95% CI= (1.74-3.56)) were significantly associated with occupational injury. Conclusion: The prevalence of occupational injury in this research is found to be very high. It is advisable to provide sustainable training and regular occupational health and safety supervision for industrial workers in the city. Moreover, research has to be conducted to know the reasons for the difference in the prevalence of occupational injury between large-, medium-, and small-scale industries.

What Industrial Categories Are Workers at Excess Risk of Filing a COVID-19 Workers' Compensation Claim? A Study Conducted in 11 Midwestern US States.

OBJECTIVE: Determine the industries with the highest proportion of accepted COVID-19 related workers' compensation (WC) claims. METHODS: Study included 21,336 WC claims (1898 COVID-19 and 19,438 other claims) that were filed between January 1, 2020 and August 31, 2020 from 11 states in the Midwest United States. RESULT: The overwhelming proportion of all COVID-19 related WC claims submitted and accepted were from healthcare workers (83.77%). Healthcare was the only industrial classification that was at significantly higher COVID-19 WC claim submission risk (odds ratio [OR]: 4.00; 95% confidence intervals [CI]: 2.77 to 5.79) controlling for type of employment, sex, age, and presumption of COVID-19 work-relatedness. Within healthcare employment, WC claims submitted by workers in medical laboratories had the highest risk (crude rate ratio of 8.78). CONCLUSION: Healthcare employment is associated with an increased risk of developing COVID-19 infections and submitting a workers' compensation claim.

Industry and workplace characteristics associated with the downloading of a COVID-19 contact tracing app in Japan: a nation-wide cross-sectional study

BACKGROUND@#To combat coronavirus disease 2019 (COVID-19), many countries have used contact tracing apps, including Japan's voluntary-use contact-confirming application (COCOA). The current study aimed to identify industry and workplace characteristics associated with the downloading of this COVID-19 contact tracing app.@*METHODS@#This cross-sectional study of full-time workers used an online survey. Multiple logistic regression analysis was used to evaluate the associations of industry and workplace characteristics with contact tracing app use.@*RESULTS@#Of the 27,036 participants, 25.1% had downloaded the COCOA. Workers in the public service (adjusted odds ratio [aOR] = 1.29, 95% confidence interval [CI] 1.14-1.45) and information technology (aOR = 1.38, 95% CI 1.20-1.58) industries were more likely to use the app than were those in the manufacturing industry. In contrast, app usage was less common among workers in the retail and wholesale (aOR = 0.87, 95% CI 0.76-0.99) and food/beverage (aOR = 0.81, 95% CI 0.70-0.94) industries, but further adjustment for company size attenuated these associations. Workers at larger companies were more likely to use the app. Compared with permanent employees, the odds of using the app were higher for managers and civil servants but lower for those who were self-employed.@*CONCLUSIONS@#Downloading of COCOA among Japanese workers was insufficient; thus, the mitigating effect of COCOA on the COVID-19 pandemic is considered to be limited. One possible reason for the under-implementation of the contact tracing app in the retail and wholesale and food/beverage industries is small company size, as suggested by the fully adjusted model results. An awareness campaign should be conducted to promote the widespread use of the contact tracing app in these industries.

Gastric cancer mortality rates by occupation and industry among male and female workers aged 25-64 years in Japan.

Differences in risk for gastric cancer exist among occupations and industries in Japan. Using a 2015 national dataset, we estimated the mortality rates due to gastric cancer in Japanese male and female workers aged 25-64 yr. Regression models were used to estimate the mortality rate ratios separately for men and women with adjustment for age. The occupation with the highest risk ratio was "Service" in men (2.06, 95% confidence interval: 1.63-2.61) and "Construction and Mining" in women compared with "Sales". For industries, workers in "Mining", "Electricity, Gas, Heat supply and Water", "Fisheries", "Agriculture and Forestry", and "Construction" had a higher mortality risk. Our results showed that occupations and industries with higher mortality rates in men had the same trend as the results from 2010, and occupations and industries with higher mortality rates in women were almost the same as those in men. The analyses also indicated that managerial and professional workers in Japan had higher mortality as opposed to developed Western countries. In conclusion, this study suggests that occupations and industries still impact men and women's health in terms of mortality due to gastric cancer in Japan.

Fewer workers' compensation claims and lower claim costs if employers with high injury rates achieved the rates of their safer peers.

INTRODUCTION: Employers engaged in similar business activities demonstrate a range of workers' compensation claim rates. Workplace injuries and illnesses could be prevented if employers with high claim rates achieved the claim rates of their safer peers. METHODS: We used Washington workers' compensation claims data for years 2013-2015 to calculate rates of compensable claims (eligible for disability or time loss benefits, if unable to work four days after injury) and total accepted claims (compensable plus medical-aid only claims) for each employer. We estimated the number and cost of claims to occur if employers with high claim rates reduced them to the rates of employers at the 25th percentile, adjusted for insurance risk class, employer size, and injury type. To evaluate the impact of setting more or less ambitious goals, we also estimated reductions based on claim rates at the 10th and 50th percentiles. RESULTS: Over 43% of claims and claim costs would be prevented if employers with higher claim rates lowered them to the 25th percentile using either total accepted or compensable claim rates as the benchmark outcome. The estimated claim cost savings from benchmarking to compensable claims was nearly as great as the estimate based on benchmarking to total accepted claims ($308.5 mil annually based on compensable claims vs. $332.4 mil based on total accepted claims). Restaurants and Taverns had the greatest number of potentially prevented compensable claims. Colleges and Universities and Wood Frame and Building Construction had the greatest potential reduction in compensable claim costs among larger and smaller employers, respectively. CONCLUSION: Substantial reductions in workers' compensation claims and costs are possible if employers achieve the injury rates experienced by their safer peers. Practical application: Evaluating the range of workplace injury rates among employers within industry groups identifies opportunities for injury prevention and offers another approach to resource allocation.

Groundwater quality assessment in an industrial hotspot through interdisciplinary techniques.

Dependency on groundwater has increased due to unprecedented growth of industries as well as settlements. Therefore, assessment of groundwater quality to determine its impact on human and environment has become essential. The major objective of this study was to frame a methodology for complete assessment of groundwater quality in a highly industrialized area comprising of iron, steel, fertilizer, cement, chemical, heavy machinery manufacturing, thermal power, coal mining, and allied industries. Physico-chemical parameters of water samples were analyzed from strategic locations during pre- and post-monsoon seasons. The primary analysis through the water quality index showed 50% of the sampling locations in pre-monsoon and 65% in post-monsoon seasons have very poor quality. Hence, the health risk calculated through hazard index indicates that the water is unsafe for drinking. Chemical indices such as sodium percentage, sodium adsorption ratio, residual sodium carbonate, permeability index, and magnesium hazard suggest that the water can be used for irrigation. High corrosivity ratio at 90% sampling locations specifies its unsuitability for use in industrial production. Factor analysis and other statistical methods justified that the pollution of groundwater was attributed to geogenic, as well as anthropogenic, activities. This research demonstrates the usefulness of interdisciplinary techniques for complete assessment of groundwater quality and representation of complex data set into a presentable and understandable form for proper communication with public, regulatory authorities, as well as policy makers, responsible for water management.

The source of lead determines the relationship between soil properties and lead bioaccessibility.

Lead (Pb) contaminated soil is of particular concern for infants and children due to their susceptibility to exposure, fast metabolic rates and rapidly developing neuronal systems. Determining the bioaccessibility of Pb in soils is critical in human health risk assessments, which can vary due to different soil properties and sources of Pb contamination. In this study, the potential relationships between soil properties and Pb bioaccessibility from various Pb sources including Pb contamination from mining (specifically, Broken Hill), three shooting ranges, a smelter and two industry sites (pottery and battery), were investigated using the Relative Bioavailability Leaching Procedure (RBALP). We found the following: (1) CEC, TOC, sand and silt content, and total Pb were significantly different (p < 0.05) between the two particle size fractions of < 2 mm and < 250 µm; (2) EC, CEC and total Pb were significantly correlated to Pb bioaccessibility (p < 0.05); and (3) soil analyses based on source of Pb demonstrated a strongly significant relationship between Pb bioaccessibility and soil properties (CEC, EC, clay content and total Pb) for mining soils from Broken Hill (r2 = 0.86, p < 0.05, n = 18). These results demonstrated the influences of Pb contamination sources, soil properties and particle size fractions on Pb bioaccessibility as well as the prediction of Pb bioaccessibility using soil properties. The findings documented here will help in developing a predictive tool for human health risk assessment and the remediation of Pb contaminated soils.

Drivers of China's Industrial Carbon Emissions: Evidence from Joint PDA and LMDI Approaches.

As the world's top carbon-emitting country, China has placed great emphasis on understanding the driving factors of carbon emissions and developing appropriate emissions reduction policies. Due to the obvious variations in carbon emissions among various industries in China, corresponding policies need to be formulated for different industries. Through data envelopment analysis, this study introduced the Shephard distance function into the logarithmic mean Divisia index (LMDI) for decomposition analysis, built a carbon emissions decomposition model of 23 industries in China during 2003⁻2015, and analyzed the impact of 10 factors driving carbon emissions. The main results are as follows. (1) Potential gross domestic production (GDP) is a crucial factor for increasing carbon emissions, whereas potential energy intensity and technological advances of carbon emissions have a significant inhibitory effect on carbon emissions; (2) the technological progress of energy usage and the technological advances of GDP output are manifested by inhibiting carbon emissions at the early stage of development and increasing emissions at the later stage; (3) the structure of coal-based energy consumption is difficult to change in the long term, resulting in a weak effect of energy mix on carbon emissions and an increase in carbon emissions due to the potential energy carbon intensity factor.

The Oldowan industry from Swartkrans cave, South Africa, and its relevance for the African Oldowan.

The oldest recognized artifacts at the Swartkrans cave hominid-bearing site in South Africa have long been known to occur in the Lower Bank of Member 1, now dated with the cosmogenic nuclide burial method to ca. 1.8-2.19 Ma. However, the affinities of this industry have been debated due to small sample size. In this paper we present newly excavated material from the Lower Bank retrieved since 2005 in the Swartkrans Paleoanthropological Research Project. The sample is now large enough to confirm its affinity with the Oldowan industrial complex. The assemblage is highly expedient and core reduction strategies are largely casual. Although freehand flaking is present, the bipolar technique is most significant, even in non-quartz raw materials. The Swartkrans assemblage shows some significant contrasts with the Sterkfontein Oldowan, ca. 2.18 Ma, which can be explained by its closer proximity to raw material sources, its somewhat different geographic context, and its more expedient nature. The Swartkrans Oldowan now provides us with the first good indication of Oldowan variability in southern Africa, where only two sizeable assemblages have thus far been discovered. Comparisons are made with other sites across Africa that help to place this variability within our overall understanding of the Oldowan industrial complex.

Codability of industry and occupation information from cancer registry records: Differences by patient demographics, casefinding source, payor, and cancer type.

INTRODUCTION: Industry and occupation (I&O) information collected by cancer registries is useful for assessing associations among jobs and malignancies. However, systematic differences in I&O availability can bias findings. METHODS: Codability by patient demographics, payor, identifying (casefinding) source, and cancer site was assessed using I&O text from first primaries diagnosed 2011-2012 and reported to California Cancer Registry. I&O were coded to a U.S. Census code or classified as blank/inadequate/unknown, retired, or not working for pay. RESULTS: Industry was codable for 37% of cases; 50% had "unknown" and 9% "retired" instead of usual industry. Cases initially reported by hospitals, covered by preferred providers, or with known occupational etiology had highest codable industry; cases from private pathology laboratories, with Medicaid, or diagnosed in outpatient settings had least. Occupation results were similar. CONCLUSIONS: Recording usual I&O for retirees and improving linkages for reporting entities without patient access would improve I&O codability and research validity.

Determinants of safety outcomes and performance: A systematic literature review of research in four high-risk industries.

INTRODUCTION: In spite of increasing governmental and organizational efforts, organizations still struggle to improve the safety of their employees as evidenced by the yearly 2.3 million work-related deaths worldwide. Occupational safety research is scattered and inaccessible, especially for practitioners. Through systematically reviewing the safety literature, this study aims to provide a comprehensive overview of behavioral and circumstantial factors that endanger or support employee safety. METHOD: A broad search on occupational safety literature using four online bibliographical databases yielded 27.527 articles. Through a systematic reviewing process 176 online articles were identified that met the inclusion criteria (e.g., original peer-reviewed research; conducted in selected high-risk industries; published between 1980-2016). Variables and the nature of their interrelationships (i.e., positive, negative, or nonsignificant) were extracted, and then grouped and classified through a process of bottom-up coding. RESULTS: The results indicate that safety outcomes and performance prevail as dependent research areas, dependent on variables related to management & colleagues, work(place) characteristics & circumstances, employee demographics, climate & culture, and external factors. Consensus was found for five variables related to safety outcomes and seven variables related to performance, while there is debate about 31 other relationships. Last, 21 variables related to safety outcomes and performance appear understudied. CONCLUSIONS: The majority of safety research has focused on addressing negative safety outcomes and performance through variables related to others within the organization, the work(place) itself, employee demographics, and-to a lesser extent-climate & culture and external factors. PRACTICAL APPLICATIONS: This systematic literature review provides both scientists and safety practitioners an overview of the (under)studied behavioral and circumstantial factors related to occupational safety behavior. Scientists could use this overview to study gaps, and validate or falsify relationships. Safety practitioners could use the insights to evaluate organizational safety policies, and to further development of safety interventions.

Evaluating Exposure-Response Associations for Non-Hodgkin Lymphoma with Varying Methods of Assigning Cumulative Benzene Exposure in the Shanghai Women's Health Study.

Objectives: To provide insight into the contributions of exposure measurements to job exposure matrices (JEMs), we examined the robustness of an association between occupational benzene exposure and non-Hodgkin lymphoma (NHL) to varying exposure assessment methods. Methods: NHL risk was examined in a prospective population-based cohort of 73087 women in Shanghai. A mixed-effects model that combined a benzene JEM with >60000 short-term, area benzene inspection measurements was used to derive two sets of measurement-based benzene estimates: 'job/industry-specific' estimates (our presumed best approach) were derived from the model's fixed effects (year, JEM intensity rating) and random effects (occupation, industry); 'calibrated JEM' estimates were derived using only the fixed effects. 'Uncalibrated JEM' (using the ordinal JEM ratings) and exposure duration estimates were also calculated. Cumulative exposure for each subject was calculated for each approach based on varying exposure definitions defined using the JEM's probability ratings. We examined the agreement between the cumulative metrics and evaluated changes in the benzene-NHL associations. Results: For our primary exposure definition, the job/industry-specific estimates were moderately to highly correlated with all other approaches (Pearson correlation 0.61-0.89; Spearman correlation > 0.99). All these metrics resulted in statistically significant exposure-response associations for NHL, with negligible gain in model fit from using measurement-based estimates. Using more sensitive or specific exposure definitions resulted in elevated but non-significant associations. Conclusions: The robust associations observed here with varying benzene assessment methods provide support for a benzene-NHL association. While incorporating exposure measurements did not improve model fit, the measurements allowed us to derive quantitative exposure-response curves.

Occupational self-coding and automatic recording (OSCAR): a novel web-based tool to collect and code lifetime job histories in large population-based studies.

Objectives The standard approach to the assessment of occupational exposures is through the manual collection and coding of job histories. This method is time-consuming and costly and makes it potentially unfeasible to perform high quality analyses on occupational exposures in large population-based studies. Our aim was to develop a novel, efficient web-based tool to collect and code lifetime job histories in the UK Biobank, a population-based cohort of over 500 000 participants. Methods We developed OSCAR (occupations self-coding automatic recording) based on the hierarchical structure of the UK Standard Occupational Classification (SOC) 2000, which allows individuals to collect and automatically code their lifetime job histories via a simple decision-tree model. Participants were asked to find each of their jobs by selecting appropriate job categories until they identified their job title, which was linked to a hidden 4-digit SOC code. For each occupation a job title in free text was also collected to estimate Cohen's kappa (κ) inter-rater agreement between SOC codes assigned by OSCAR and an expert manual coder. Results OSCAR was administered to 324 653 UK Biobank participants with an existing email address between June and September 2015. Complete 4-digit SOC-coded lifetime job histories were collected for 108 784 participants (response rate: 34%). Agreement between the 4-digit SOC codes assigned by OSCAR and the manual coder for a random sample of 400 job titles was moderately good [κ=0.45, 95% confidence interval (95% CI) 0.42-0.49], and improved when broader job categories were considered (κ=0.64, 95% CI 0.61-0.69 at a 1-digit SOC-code level). Conclusions OSCAR is a novel, efficient, and reasonably reliable web-based tool for collecting and automatically coding lifetime job histories in large population-based studies. Further application in other research projects for external validation purposes is warranted.

Computer-based coding of free-text job descriptions to efficiently identify occupations in epidemiological studies.

BACKGROUND: Mapping job titles to standardised occupation classification (SOC) codes is an important step in identifying occupational risk factors in epidemiological studies. Because manual coding is time-consuming and has moderate reliability, we developed an algorithm called SOCcer (Standardized Occupation Coding for Computer-assisted Epidemiologic Research) to assign SOC-2010 codes based on free-text job description components. METHODS: Job title and task-based classifiers were developed by comparing job descriptions to multiple sources linking job and task descriptions to SOC codes. An industry-based classifier was developed based on the SOC prevalence within an industry. These classifiers were used in a logistic model trained using 14 983 jobs with expert-assigned SOC codes to obtain empirical weights for an algorithm that scored each SOC/job description. We assigned the highest scoring SOC code to each job. SOCcer was validated in 2 occupational data sources by comparing SOC codes obtained from SOCcer to expert assigned SOC codes and lead exposure estimates obtained by linking SOC codes to a job-exposure matrix. RESULTS: For 11 991 case-control study jobs, SOCcer-assigned codes agreed with 44.5% and 76.3% of manually assigned codes at the 6-digit and 2-digit level, respectively. Agreement increased with the score, providing a mechanism to identify assignments needing review. Good agreement was observed between lead estimates based on SOCcer and manual SOC assignments (κ 0.6-0.8). Poorer performance was observed for inspection job descriptions, which included abbreviations and worksite-specific terminology. CONCLUSIONS: Although some manual coding will remain necessary, using SOCcer may improve the efficiency of incorporating occupation into large-scale epidemiological studies.