cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19923784
title: Air quality assessment in Southeast Brazil during COVID-19 pandemic and lockdown: report of increased air pollution

description: On March 24, 2020, a partial lockdown was decreed in the state of São Paulo, Brazil, as a measure to hinder the spread of COVID-19, which consisted in prohibiting crowding and advising people to stay home, except for urgent or extremely necessary matters. Based on studies performed in other countries, this study aims to assess the impacts of the lockdown on the air quality of five cities in the state of São Paulo. Our study was conducted by using particulate matter and nitrogen dioxide as air quality indicators, and by correlating the contaminants concentrations with weather data. The results showed an increase in these contaminants in all cities within the first weeks after the lockdown compared with the weeks before the decree and with the same period in previous years. This result is inconsistent with the literature. Therefore, a secondary goal was set to investigate the possible cause (or causes) of such deterioration in air quality, which led to the increased number of wildfires. The anomalous dry weather favored the burning of vegetation in agricultural rural areas and in small, vegetated areas near the municipalities, and limited pollution scavenging by rainfall, both of which contributed to higher pollution concentration. We hypothesize the possible effects of worse air quality on the aggravation of COVID-19, but further research is necessary to obtain a complete assessment.
DOI: 10.6084/m9.figshare.19923784.v1
title: Air quality assessment in Southeast Brazil during COVID-19 pandemic and lockdown: report of increased air pollution

description: On March 24, 2020, a partial lockdown was decreed in the state of São Paulo, Brazil, as a measure to hinder the spread of COVID-19, which consisted in prohibiting crowding and advising people to stay home, except for urgent or extremely necessary matters. Based on studies performed in other countries, this study aims to assess the impacts of the lockdown on the air quality of five cities in the state of São Paulo. Our study was conducted by using particulate matter and nitrogen dioxide as air quality indicators, and by correlating the contaminants concentrations with weather data. The results showed an increase in these contaminants in all cities within the first weeks after the lockdown compared with the weeks before the decree and with the same period in previous years. This result is inconsistent with the literature. Therefore, a secondary goal was set to investigate the possible cause (or causes) of such deterioration in air quality, which led to the increased number of wildfires. The anomalous dry weather favored the burning of vegetation in agricultural rural areas and in small, vegetated areas near the municipalities, and limited pollution scavenging by rainfall, both of which contributed to higher pollution concentration. We hypothesize the possible effects of worse air quality on the aggravation of COVID-19, but further research is necessary to obtain a complete assessment.
DOI: 10.6084/m9.figshare.19923787
title: The positive association between serum uric acid, impaired fasting glucose, impaired glucose tolerance, and diabetes mellitus in the ELSA-Brasil study

description: Abstract: There is a conflict in the literature regarding the association between serum uric acid (SUA) levels and glycemic status. Therefore, we evaluated the association between SUA level and glycemic status - impaired fasting glucose (IFG), impaired glucose tolerance (IGT), and diabetes mellitus - and insulin resistance, in a large Brazilian study. This is a cross-sectional, observational study with 13,207 participants aged 35-74 years, at baseline (2008-2010) of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). A multinomial regression analysis was performed to test the association between SUA and glycemic status (IFG, IGT, and newly diagnosed type 2 diabetes at the cohort baseline) after adjustments by age, sex, skin color, body mass index, physical activity, smoking, alcohol consumption, comorbidities, and medicines use. Logistic regression model was used to evaluate the association between SUA and insulin resistance by HOMA-IR. Stratified analyses by sex were performed. The mean age (standard deviation) was 51.4 (8.9) years, 55.2% of participants were women. There were 1,439 newly diagnosed diabetes. After all adjustments, higher SUA was associated with IFG, IGT, and diabetes, with odds ratio (OR) = 1.15 (95%CI: 1.06; 1.25), 1.23 (95%CI: 1.14; 1.33), and 1.37 (95%CI: 1.24; 1.51), respectively. There was association between SUA levels and insulin resistance with OR = 1.24 (95%CI: 1.13; 1.36). In analysis stratified by sex, higher SUA persisted independently associated with impaired glycemic status. Our results suggest that a higher SUA levels were significantly associated with glycemic status in a large Latin American population, mainly among women.
DOI: 10.6084/m9.figshare.19923787.v1
title: The positive association between serum uric acid, impaired fasting glucose, impaired glucose tolerance, and diabetes mellitus in the ELSA-Brasil study

description: Abstract: There is a conflict in the literature regarding the association between serum uric acid (SUA) levels and glycemic status. Therefore, we evaluated the association between SUA level and glycemic status - impaired fasting glucose (IFG), impaired glucose tolerance (IGT), and diabetes mellitus - and insulin resistance, in a large Brazilian study. This is a cross-sectional, observational study with 13,207 participants aged 35-74 years, at baseline (2008-2010) of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). A multinomial regression analysis was performed to test the association between SUA and glycemic status (IFG, IGT, and newly diagnosed type 2 diabetes at the cohort baseline) after adjustments by age, sex, skin color, body mass index, physical activity, smoking, alcohol consumption, comorbidities, and medicines use. Logistic regression model was used to evaluate the association between SUA and insulin resistance by HOMA-IR. Stratified analyses by sex were performed. The mean age (standard deviation) was 51.4 (8.9) years, 55.2% of participants were women. There were 1,439 newly diagnosed diabetes. After all adjustments, higher SUA was associated with IFG, IGT, and diabetes, with odds ratio (OR) = 1.15 (95%CI: 1.06; 1.25), 1.23 (95%CI: 1.14; 1.33), and 1.37 (95%CI: 1.24; 1.51), respectively. There was association between SUA levels and insulin resistance with OR = 1.24 (95%CI: 1.13; 1.36). In analysis stratified by sex, higher SUA persisted independently associated with impaired glycemic status. Our results suggest that a higher SUA levels were significantly associated with glycemic status in a large Latin American population, mainly among women.
DOI: 10.6084/m9.figshare.19923790
title: Social position and anthropometric status among adults in the ELSA-Brasil study: a latent class analysis

description: Abstract: The objective of the present study was to evaluate the association between social position and anthropometric status in women and men Brazilian adult. This was a cross-sectional study that used baseline data collected from 2008 to 2010 for the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil, in Portuguese), in the six major Brazilian state capital cities. A total of 15,105 active and retired civil servants aged from 35 to 74 years. Two latent variables were defined by latent class analysis, social position and anthropometric status. Both constructs and the analyses were separately evaluated by sex. Associations were assessed using multivariate logistic regression analysis with adjustment for age, self-reported skin color/race, and marital status. Around 44% of the women and 26% of the men were classified as overweight or obese. Social position tended to be lower in women (43.2%) and higher among men (40.4%). Heavier women were more likely to be black and brown-skinned, whereas slimmer women were more likely to be white. After adjustment, women’s weight increased as social position decreased (OR = 1.52; 95%CI: 1.36-1.70), whereas in men weight decreased as social position decreased (OR = 0.87; 95%CI: 0.76-0.99). Social position affected the anthropometric status of women and men differently, with body patterns also being affected by ethnicity/skin color, showing the potentiality of taking the intersectional perspective when investigating the possible social determinants of the phenomenon.
DOI: 10.6084/m9.figshare.19923790.v1
title: Social position and anthropometric status among adults in the ELSA-Brasil study: a latent class analysis

description: Abstract: The objective of the present study was to evaluate the association between social position and anthropometric status in women and men Brazilian adult. This was a cross-sectional study that used baseline data collected from 2008 to 2010 for the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil, in Portuguese), in the six major Brazilian state capital cities. A total of 15,105 active and retired civil servants aged from 35 to 74 years. Two latent variables were defined by latent class analysis, social position and anthropometric status. Both constructs and the analyses were separately evaluated by sex. Associations were assessed using multivariate logistic regression analysis with adjustment for age, self-reported skin color/race, and marital status. Around 44% of the women and 26% of the men were classified as overweight or obese. Social position tended to be lower in women (43.2%) and higher among men (40.4%). Heavier women were more likely to be black and brown-skinned, whereas slimmer women were more likely to be white. After adjustment, women’s weight increased as social position decreased (OR = 1.52; 95%CI: 1.36-1.70), whereas in men weight decreased as social position decreased (OR = 0.87; 95%CI: 0.76-0.99). Social position affected the anthropometric status of women and men differently, with body patterns also being affected by ethnicity/skin color, showing the potentiality of taking the intersectional perspective when investigating the possible social determinants of the phenomenon.
DOI: 10.6084/m9.figshare.19923793.v1
title: Mental health indicators in primary healthcare: assessment of the quality of access through case detection capacity

description: The objective was to demonstrate the rate of detection of mental disorders in primary healthcare units as a marker of access and indicator of care in mental health. A comparative case study was performed in the electronic patient files of adults seen in two neighboring primary care units in the city of Rio de Janeiro, Brazil, in 2015-2016 and 2016-2017. Diagnoses of mental disorders were extracted, using the International Classification of Diseases, dividing them into three groups: common mental disorders (CMD: F32; F33 F40-45, except F42, and R45), severe mental disorders (SMD: F20-F29; F31-F39), and alcohol and drug use (AD: F10-F19 and Z72). The results were compared to the community prevalence of mental disorders reported in the literature. Statistical analysis was applied with the chi-square test, in addition to a qualitative analysis of each unit´s scenario. Unit A (2015-2016) showed a low detection rate for all disorders [SMD = 45 (0.8%); CMD = 148 (2.64%) and AD = 0]; unit B detected about 50% of the expected cases [SMD = 23 (0.98%); CMD = 140 (5.97%) and AD = 130 (5.54%)]. In 2016-2017 there was an increase in the overall detection of mental disorders at unit A [SMD = 89 (1.6%); CMD = 298 (5.24%) and AD = 7 (0.12%)], in unit B the detection rate remained similar [SMD = 25 (1.0%); CMD = 176 (7.14%) and AD = 121 (4.9%)]. Changes in the units were detected. Distinction in the detection rate was used as an indicator for analysis of mental health care, allowing the study of factors potentially associated with this variation, influencing access to care. Monitoring this indicator helps improve mental health care.
DOI: 10.6084/m9.figshare.19923793
title: Mental health indicators in primary healthcare: assessment of the quality of access through case detection capacity

description: The objective was to demonstrate the rate of detection of mental disorders in primary healthcare units as a marker of access and indicator of care in mental health. A comparative case study was performed in the electronic patient files of adults seen in two neighboring primary care units in the city of Rio de Janeiro, Brazil, in 2015-2016 and 2016-2017. Diagnoses of mental disorders were extracted, using the International Classification of Diseases, dividing them into three groups: common mental disorders (CMD: F32; F33 F40-45, except F42, and R45), severe mental disorders (SMD: F20-F29; F31-F39), and alcohol and drug use (AD: F10-F19 and Z72). The results were compared to the community prevalence of mental disorders reported in the literature. Statistical analysis was applied with the chi-square test, in addition to a qualitative analysis of each unit´s scenario. Unit A (2015-2016) showed a low detection rate for all disorders [SMD = 45 (0.8%); CMD = 148 (2.64%) and AD = 0]; unit B detected about 50% of the expected cases [SMD = 23 (0.98%); CMD = 140 (5.97%) and AD = 130 (5.54%)]. In 2016-2017 there was an increase in the overall detection of mental disorders at unit A [SMD = 89 (1.6%); CMD = 298 (5.24%) and AD = 7 (0.12%)], in unit B the detection rate remained similar [SMD = 25 (1.0%); CMD = 176 (7.14%) and AD = 121 (4.9%)]. Changes in the units were detected. Distinction in the detection rate was used as an indicator for analysis of mental health care, allowing the study of factors potentially associated with this variation, influencing access to care. Monitoring this indicator helps improve mental health care.
DOI: 10.6084/m9.figshare.19923796
title: Spatial-temporal diffusion of yellow fever in a state in Southeast Brazil in 2017

description: The objective was to analyze the diffusion of cases of yellow fever in time and space in the epidemic of 2017 in the state of Espírito Santo, Brazil. An ecological observational study was performed with spatial analysis of yellow fever cases. Georeferencing of information and spatial analysis used the digital grid for the state of Espírito Santo, divided into 78 municipalities (counties), using the Arcgis software, 10.3. Geostatistical analysis was performed using the ordinary kriging function. The study found an incidence of 4.85/100,000 inhabitants of sylvatic yellow fever in Espírito Santo in 2017, with 29.74% case-fatality. Sylvatic yellow fever cases were distributed across 34 of the state’s 78 municipalities, representing 43% of its territory. The temporal distribution of reported yellow fever cases in the current study occurred from the 1st to the 19th Epidemiological Weeks (EW). The geostatistical spatial analysis via ordinary kriging demonstrated spatial diffusion by yellow fever contagion among the municipalities in the state of Espírito Santo, with spatial continuity. The disease emerged in the state in the EW 1 through municipalities bordering on the state of Minas Gerais. Geoprocessing showed that yellow fever reached the state of Espírito Santo through the municipalities bordering on the state of Minas Gerais, moving eastward in the state and reaching the Atlantic coastline. There was a higher concentration of cases and persistence in the state’s Central and Metropolitan regions, which have areas of Atlantic Forest, showing a pattern of diffusion continuity by contagion.
DOI: 10.6084/m9.figshare.19923796.v1
title: Spatial-temporal diffusion of yellow fever in a state in Southeast Brazil in 2017

description: The objective was to analyze the diffusion of cases of yellow fever in time and space in the epidemic of 2017 in the state of Espírito Santo, Brazil. An ecological observational study was performed with spatial analysis of yellow fever cases. Georeferencing of information and spatial analysis used the digital grid for the state of Espírito Santo, divided into 78 municipalities (counties), using the Arcgis software, 10.3. Geostatistical analysis was performed using the ordinary kriging function. The study found an incidence of 4.85/100,000 inhabitants of sylvatic yellow fever in Espírito Santo in 2017, with 29.74% case-fatality. Sylvatic yellow fever cases were distributed across 34 of the state’s 78 municipalities, representing 43% of its territory. The temporal distribution of reported yellow fever cases in the current study occurred from the 1st to the 19th Epidemiological Weeks (EW). The geostatistical spatial analysis via ordinary kriging demonstrated spatial diffusion by yellow fever contagion among the municipalities in the state of Espírito Santo, with spatial continuity. The disease emerged in the state in the EW 1 through municipalities bordering on the state of Minas Gerais. Geoprocessing showed that yellow fever reached the state of Espírito Santo through the municipalities bordering on the state of Minas Gerais, moving eastward in the state and reaching the Atlantic coastline. There was a higher concentration of cases and persistence in the state’s Central and Metropolitan regions, which have areas of Atlantic Forest, showing a pattern of diffusion continuity by contagion.
DOI: 10.6084/m9.figshare.19920559
title: Mobile application: physical therapy interventions for frail older adults

description: ABSTRACT The aim of this study was to build and validate an algorithm and develop a software for the multidimensional diagnosis of functional clinical vulnerability and physical therapy for older adults. This is an analytical and observational study applied in technological production, based on software engineering and user-centered design. The algorithm was developed based on studies in health databases, validated by 13 physical therapists and the software was built using the JAVA language from the algorithm’s conversion. The Delphi technique and statistical analysis via the Content Validity Index (CVI) were used to validate the algorithm. The consensus was reached in the first evaluation round and the agreement between judges by the CVI was 1.0. The “Gerontofisio” mobile application was built for use on smartphones and tablets and registered at the Brazilian National Institute of Industrial Property number: BR512020002269-3; the application consists of 34 screens that guide gerontological physical therapists in decision making, serving as a support tool in the applied fields in health, health administration, illness, medical assistance and diagnostic therapy. The algorithm was built and validated, the mobile application software for the multidimensional diagnosis of clinical functional vulnerability and physical therapy treatment in older adults was developed and is valid in the field of physical therapy and should contribute to physical therapists and older adults.
DOI: 10.6084/m9.figshare.19920559.v1
title: Mobile application: physical therapy interventions for frail older adults

description: ABSTRACT The aim of this study was to build and validate an algorithm and develop a software for the multidimensional diagnosis of functional clinical vulnerability and physical therapy for older adults. This is an analytical and observational study applied in technological production, based on software engineering and user-centered design. The algorithm was developed based on studies in health databases, validated by 13 physical therapists and the software was built using the JAVA language from the algorithm’s conversion. The Delphi technique and statistical analysis via the Content Validity Index (CVI) were used to validate the algorithm. The consensus was reached in the first evaluation round and the agreement between judges by the CVI was 1.0. The “Gerontofisio” mobile application was built for use on smartphones and tablets and registered at the Brazilian National Institute of Industrial Property number: BR512020002269-3; the application consists of 34 screens that guide gerontological physical therapists in decision making, serving as a support tool in the applied fields in health, health administration, illness, medical assistance and diagnostic therapy. The algorithm was built and validated, the mobile application software for the multidimensional diagnosis of clinical functional vulnerability and physical therapy treatment in older adults was developed and is valid in the field of physical therapy and should contribute to physical therapists and older adults.
DOI: 10.6084/m9.figshare.19923799
title: Composition differences between organic and conventional processed foods: a meta-analytical study

description: ABSTRACT: Comparisons between the nutritional quality of organic and conventional fresh foods are frequently reported in the literature; however, discussion about processed foods is less frequent. Therefore, this study compared the nutritional content of processed products from both production systems using a systematic review of the literature and meta-analysis, regarding aspects of raw material management and processing. The study reviewed scientific articles published between 2010 and 2020 and the data obtained were analyzed using the standardized mean difference method with Hedges’ adjustment and a random analytical model. Thirty-seven articles were selected, and the foods analyzed in the studies were grouped into five categories: meat products, dairy products, caught fish, wines, and fruit juices/pulps. In products of animal origin, the comparative focus shown was mainly that of the fatty acid profile, while in those of vegetable origin it was that of phytochemicals. Related to the comparison of nutrient contents, it was possible to verify the similarities in organic and conventional products in most studies; however, specific differences were verified (P &lt; 0.05): organics contained more proteins (meat), omega 3 (dairy), and less linoleic acid (dairy and caught fish). Also, there were differences in the management of organic and conventional raw materials, and similarities in processing. Therefore, the choice for organic processed foods should not be made exclusively based on nutritional aspects, considering that the differences in nutrient contents in relation to those of conventional products are practically nonexistent.
DOI: 10.6084/m9.figshare.19923799.v1
title: Composition differences between organic and conventional processed foods: a meta-analytical study

description: ABSTRACT: Comparisons between the nutritional quality of organic and conventional fresh foods are frequently reported in the literature; however, discussion about processed foods is less frequent. Therefore, this study compared the nutritional content of processed products from both production systems using a systematic review of the literature and meta-analysis, regarding aspects of raw material management and processing. The study reviewed scientific articles published between 2010 and 2020 and the data obtained were analyzed using the standardized mean difference method with Hedges’ adjustment and a random analytical model. Thirty-seven articles were selected, and the foods analyzed in the studies were grouped into five categories: meat products, dairy products, caught fish, wines, and fruit juices/pulps. In products of animal origin, the comparative focus shown was mainly that of the fatty acid profile, while in those of vegetable origin it was that of phytochemicals. Related to the comparison of nutrient contents, it was possible to verify the similarities in organic and conventional products in most studies; however, specific differences were verified (P &lt; 0.05): organics contained more proteins (meat), omega 3 (dairy), and less linoleic acid (dairy and caught fish). Also, there were differences in the management of organic and conventional raw materials, and similarities in processing. Therefore, the choice for organic processed foods should not be made exclusively based on nutritional aspects, considering that the differences in nutrient contents in relation to those of conventional products are practically nonexistent.