Résumé
ObjectiveTo explore the elements， distribution and characteristics of traditional Chinese medicine （TCM） syndromes in depressive episodes of bipolar disorder （BD）. MethodsBasic information， along with the four examination information， the Hamilton Depression Scale and Young Mania Rating Scale scores， were collected from 293 outpatients with BD at Beijing Anding Hospital， Capital Medical University. The four examination information with an occurrence rate greater than 12% were retained. The R language “dist” function was used to calculate the distances between samples using the Euclidean distance method. The hierarchical clustering of the four examination information was performed using the “hclust” function and the squared Euclidean distance method. A team of five researchers was formed to determine the nature and location of the essential elements of TCM syndrome in BD based on the clustering results. The PC algorithm was used to construct a Bayesian network model of the essential elements. The working group combined the essential elements of TCM syndromes in the Bayesian network according to the reference model results， and then extracted common TCM syndromes. The score of each patient based on the essential elements was matched with the common TCM syndromes to determine the syndrome type of each patient. The working group then performs conformity and revision based on this， obtaining the final distribution of TCM syndromes for the patients. ResultsThere were 77 common TCM symptoms in BD with a frequency greater than 12%. The top 15 symptoms with higher frequencies were slippery pulse， mental fatigue and lack of strength， wiry pulse， excessive rumination， preference for solitude， vexation， agitation and irritability， dry mouth， palpitations， profuse dreaming， unwarranted worries， chest oppression， thin white coating， amnesia， frequent sighing， and poor appetite. TCM syndrome elements of BD can be grouped into 11 categories. The nature of disease-related essential elements included fire， qi deficiency， blood deficiency， qi counterflow， yin deficiency， dampness， heat， fire from constraint， and phlegm. The location of disease-related essential elements included heart， liver， spleen， stomach， kidney， bladder channel， and gallbladder. By constructing a Bayesian network model and considering the opinions from the experts， six common syndromes of BD were identified， among which the highest proportion was heart-stomach heat accumulation， accounting for 27.99% （82 cases）， followed by heart-spleen deficiency （55 cases， 18.77%）， non-interaction between the heart and the kidney （49 cases， 16.72%）， liver constraint and blood deficiency （42 cases， 14.33%）， heart qi deficiency （37 cases， 12.63%）， and damp-heat in the liver and gallbladder （28 cases， 9.56%）. ConclusionsThe nature of disease-related elements of BD are predominantly fire and heat， while the location of disease-related essential elements are primarily associated with the heart， liver， and spleen. The most common TCM syndromes are heart-stomach heat accumulation and heart-spleen deficiency.
Résumé
Resumo O objetivo deste estudo é detectar as áreas de maior risco para óbitos de crianças e adolescentes de 5 a 14 anos no estado de Mato Grosso entre os anos de 2009 e 2020. Estudo ecológico, tipo exploratório, cuja unidade de análise foram os municípios. Considerando dados de mortalidade do SIM e os demográficos do IBGE, o estudo utilizou a estatística multivariada para a identificação dos clusters espaço-temporais de sobrerrisco de mortalidade nesta faixa etária. Dos 5 aos 9 anos, dois clusters de alto risco de mortalidade foram detectados; o mais provável localizado na mesorregião sul (RR: 1,6; LRV: 8,53). Dentre os 5 clusters detectados na faixa etária dos 10 aos 14 anos, o principal foi localizado na mesorregião norte (RR: 2,26; LRV: 7,84). Foi identificada redução das taxas de mortalidade na faixa etária mais jovem e aumento destas taxas na faixa etária mais velha. A identificação destes clusters, cuja análise merece ser replicada a outras partes do território nacional, é a etapa inicial para a investigação de possíveis fatores associados à morbi-mortalidade deste grupo ainda pouco explorado e para o planejamento de intervenções adequadas.
Abstract The study aimed to detect high-risk areas for deaths of children and adolescents 5 to 14 years of age in the state of Mato Grosso, Brazil, from 2009 to 2020. This was an exploratory ecological study with municipalities as the units of analysis. Considering mortality data from the Mortality Information System (SIM) and demographic data from the Brazilian Institute of Geography and Statistics (IBGE), the study used multivariate statistics to identify space-time clusters of excess mortality risk in this age group. From 5 to 9 years of age, two clusters with high mortality risk were detected; the most likely located in the state's southern mesoregion (RR: 1.6; LRT: 8,53). Among the 5 clusters detected in the 10-14-year age group, the main cluster was in the state's northern mesoregion (RR: 2,26; LRT: 7,84). A reduction in mortality rates was observed in the younger age group and an increase in these rates in the older group. The identification of these clusters, whose analysis merits replication in other parts of Brazil, is the initial stage in the investigation of possible factors associated with morbidity and mortality in this group, still insufficiently explored, and for planning adequate interventions.
Résumé
Resumen El objetivo de este estudio fue observar los estilos de resiliencia entre estudiantes de pregrado y explorar la forma en la que cada uno de ellos se encontraba asociado al engagement académico y a las redes de apoyo social al inicio de los estudios universitarios. La muestra correspondió a 371 estudiantes de pregrado del Caribe Colombiano evaluados a partir de un análisis estadístico de clústeres, por el método jerárquico aglomerativo. Posteriormente se clasificaron en grupos de acuerdo con sus similitudes en las 12 dimensiones de resiliencia y finalmente se compararon en términos de engagement y redes personales. Los resultados señalaron cuatro perfiles de estudiantes: (1) sujetos con baja-resiliencia, alto engagement y fuertes vínculos relacionales; (2) resilientes-en-proceso, con niveles intermedios de resiliencia, bajo engagement y redes sociales con poca cercanía; (3) resilientes-autónomos con altos puntajes de resiliencia, niveles intermedios de engagementy redes sociales débiles; y (4) resilientes-con-redes, exhibieron altos niveles de resiliencia, con alto engagement y amplias redes de apoyo. Se concluye que la mayor porción de jóvenes que comienzan la universidad muestra perfiles de baja resiliencia; sin embargo, los altos niveles de motivación por los estudios y los recursos sociales como las redes de apoyo de los compañeros son las condiciones que más permiten afrontar los obstáculos de la vida universitaria. Es importante notar que solamente el último perfil integró los elementos de alta resiliencia, alto engagement y fuertes redes de apoyo que permiten confirmar la íntima asociación entre estos constructos. Los otros perfiles representan casos en los cuales los rasgos de resiliencia son independientes de los niveles de engagement y de la composición de las redes de apoyo personal.
Abstract Adjustment of first-year students to university environments, as well as their academic success, is not exclusively related to their academic aptitude; instead, this adjustment is associated with psychological characteristics, personal and even social resources that help students cope with stressors and new circumstances. A comprehensive assessment of the students' adjustment to university environment must transcend preoccupation on academic performance, and instead explore associations among psychological, academic, and social elements that promote adaptation during the initial years of higher education (Marenco-Escuderos et al., 2021). In this line of research, the objective of this work was to inquire how internal characteristics of students (psychological and academic) interplay with external elements in their support systems to promote adaptation in a higher education environment. Associations were explored among resilience, academic engagement, and social support as determining elements in the adjustment to the demands of the university context. The sample consisted of 371 undergraduate students (60 % female), of low socioeconomic status, enrolled in public universities in the Caribbean region of Colombia. Firstly, the resilience of university students was explored, as the ability to respond to obstacles with a positive view of the world, of others, and of one's own abilities to cope with stressors (Saavedra-Guajardo et al., 2019). Second, the level of engagement that drives young students to concentrate their energies on academic activities was reviewed; and third, the role of peers, and friends as the close-support system that facilitates the overcoming of personal and academic difficulties was investigated (Fernández-Martínez et al., 2017). Based on a statistical cluster analysis, by the agglomerative hierarchical method, individuals were classified according to their similarities in the expression of 12 dimensions of resilience (SV-RES scale), and subsequently compared in terms of engagement (UWES-S scale), and personal support networks (UNICET software). The results showed four student profiles: (1) the largest group consisting of students with low-resilience, high engagement and strong support networks; (2) a resilient group with low levels of engagement and support networks with little intimacy; (3) a resilient group with high characteristics of autonomy, intermediate levels of engagement, and support networks with weak structure; and (4) a very resilient group, high engagement, and wide and strong social support networks. The results point out the fact that the greatest proportion of students who start college show profiles of low resilience, however, high levels of motivation for studies and social resources such as peer support networks are the conditions that mostly allow for coping with adversity in the first years of college. These results could point to cultural aspects specific to the Caribbean region, where social networks are of great importance for daily functioning (Marenco-Escuderos et al., 2021). Regarding the association among the studied variables, it is important to note that only the last profile gathered all elements of high resilience, high engagement, and strong support networks that allow for confirming the association among these constructs. The other three profiles represent cases in which the resilience traits are independent of the students' levels of engagement and the composition of their personal support networks. This study is valuable as it provides a differentiating picture of the relationship of resilience with other psychological and social constructs, and in that it allows to better understand resilience in association with other elements that mediate its interpretation. Important gender differences among the profiles are additionally discussed.
Résumé
Abstract This study aimed to examine the association between clusters of physical activity (PA), diet, and television viewing (TV) with weight status among a representative sample of Brazilian students. Data from the National Health School-based Survey (PeNSE) 2015 were analyzed (n = 16,521; mean age 14.8, standard deviation 0.03 year). PA (minutes/week spent in leisure-time, and commuting to/from school), TV (hours/day), and weekly consumption of deep-fried empanadas, candies, sodas, ultra-processed foods, fast foods, green salads or vegetables, and fruits were self-reported on the validated PeNSE questionnaire. Latent class analysis defined behavior classes, and binary logistic regression assessed the association between clustering and weight status. Six classes' types with positive and negative behaviors were identified. Adolescents belonging to the "low TV time and high healthy diet" class had higher chances of being overweight (including obesity) compared to their peers in the "moderate PA and mixed diet" class. No associations were found in the other clusters. Mixed classes with healthy and unhealthy behaviors characterized adolescents' lifestyles and these profiles were related to weight status.
Resumo O estudo objetivou examinar a associação entre agrupamentos de atividade física (AF), dieta e tempo de televisão (TV) com o status do peso em uma amostra representativa de estudantes brasileiros. Foram analisados dados da Pesquisa Nacional de Saúde do Escolar (PeNSE) 2015 (n = 16.521; idade média 14,8, desvio padrão de 0,03 ano). AF (minutos/semana no lazer e deslocamento para/da escola), assistir televisão (TV) (horas/dia), consumo semanal de doces, refrigerantes, alimentos ultraprocessados/fast-foods, saladas/vegetais e frutas foram coletadas por questionário validado. Análise de classes latentes definiu os perfis de comportamento e a regressão logística binária a associação entre agrupamento e status de peso. Foram identificadas seis classes com comportamentos positivos e negativos. Adolescentes pertencentes à classe "baixo tempo de TV e alta alimentação saudável" apresentaram maior probabilidade de ter sobrepeso/obesidade em comparação com seus pares na classe "AF moderada e dieta mista". Não foram encontradas associações nos outros perfis. Classes com comportamentos saudáveis e não saudáveis caracterizaram o estilo de vida dos adolescentes e estiveram relacionadas com o status de peso.
Résumé
ABSTRACT BACKGROUND: Cardiovascular disease (CVD) is the second leading cause of death in sub-Saharan Africa. Globally, there is substantial evidence that modifiable risk factors for CVD are increasing in adolescents. Unfortunately, there is a paucity of information on the prevalence and clustering of these risk factors in adolescents. OBJECTIVES: This study explores the modifiable risk factors for CVD among first-year students at the University of Ibadan, Nigeria. DESIGN AND SETTING: This cross-sectional study was conducted at the University of Ibadan, Nigeria. METHODS: A total of 546 newly admitted students at the University of Ibadan, Nigeria, were recruited using stratified random sampling. An interviewer-administered questionnaire was used to obtain information from study participants between January and February 2016. RESULTS: The mean age of respondents was 19 ± 2.2 years with a male-to-female ratio of 1:1. The reported risk factors for CVD were smoking (1.6%), abdominal obesity (3.3%), alcohol consumption (3.7%), overweight/obesity (20.7%), unhealthy diet (85.3%), and physical inactivity (94.5%). Clustering of ≥ 2 risk factors was reported in 23.4% of students. Female students were twice as probably overweight/obese as male students (adjusted odds ratio [AOR] = 2.2; confidence interval [CI] = 1.41-3.43). Students whose fathers were skilled workers were 3.5 times more likely to be physically inactive (AOR = 1.7; CI = 0.97-2.96). The clustering of ≥ 2 risk factors was significantly higher among women and Muslims in bivariate analysis, whereas no significant association was found in multivariate analysis. CONCLUSIONS: Public health strategies to prevent CVD risk factors should begin in schools and extend to the entire community.
Résumé
Objetivo: Investigar a agregação das DCNT e a sua associação com as características sociodemográficas e os aspectos ocupacionais dos trabalhadores da APS. Métodos: Tratou-se de um estudo epidemiológico transversal que analisou os dados parciais de uma coorte retrospectiva realizada em Vitória da Conquista (BA) e em São Geraldo da Piedade (MG) no mês de janeiro de 2022 com 105 trabalhadores da Estratégia Saúde da Família (ESF), que preencheram um questionário eletrônico específico autoaplicável. As variáveis analisadas foram: sociodemográficas, caracterização do trabalho, presença de DCNT e de multimorbidade. Foram aplicados os seguintes procedimentos estatísticos: análise descritiva, análise de cluster, teste de qui-quadrado de Pearson e regressão logística binária. Resultados:As cinco DCNT mais prevalentes foram a rinite/sinusite (30,5%), a cefaleia/enxaqueca (26,7%), o colesterol alto (26,7%), a gastrite (19,0%) e a hipertensão arterial sistêmica (19,0%). A prevalência de multimorbidade foi de 26,7% e foram encontradas 11 combinações de cluster (34,4%), sendo o maior escore na combinação das cinco doenças mais prevalentes. Foi identificada a associação entre a presença de multimorbidade e o sexo, sendo a prevalência 24% menor entre os homens, e com a escolaridade, sendo a prevalência 26% maior nos indivíduos que não possuem ensino superior. Conclusão: Foram identificadas associações entre a presença de multimorbidade e o sexo feminino, e indivíduos que não concluíram o ensino superior. Observou-se, ainda, uma associação simultânea das cinco principais DCNT deste estudo com o nível de escolaridade (AU).
Objectives: Investigate the aggregation of NCDs and their association with sociodemographic characteristics and occupational aspects in primary healthcare workers. Methods: A cross-sectional study analyzed partial data from a cohort profile conducted in Vitória da Conquista (BA) and in São Geraldo da Piedade (MG) in January 2022 with 105 workers of "Estratégia de Saúde da Família (ESF)" who answered a self-report electronic questionnaire. The variables of this research were: sociodemographic characteristics, job aspects, and the presence of NCDs and multimorbidity. Data were analyzed with descriptive statistics, cluster analysis, chi-square test, and binary logistic regression. Results: The five NCDs more prevalent were: rhinitis/sinusitis (30,5%), headache/migraine (26,7%), hypercholesterolemia (26,7%), gastritis (19,0%), and hypertension (19,0%). The prevalence of multimorbidity was 26,7%, and 11 cluster combinations were found (34,4%) since the higher score was identified in the aggregation of the five more prevalent diseases. There was an association between the presence of multimorbidity and the sex (the prevalence is 24% smaller for men) and between the presence of multimorbidity and the level of education (the prevalence is 26% higher in people without a college degree). Conclusion: The prevalence of multimorbidity was associated with the female sex and with people without a college degree. Furthermore, an association was observed between the five more prevalent NCDs in this study and the level of education (AU).
Sujets)
Humains , Études épidémiologiques , Loi du khi-deux , Analyse de regroupements , Maladie chronique/épidémiologie , Personnel de santé , Multimorbidité , Facteurs sociodémographiquesRésumé
Os indivíduos constantemente tomam decisões de consumo, que também impactam na cadeia que participa direta ou indiretamente para a criação daquele produto ou serviço. Assim, compreender melhor os perfis dos consumidores de jogos digitais auxiliam os desenvolvedores locais a produzir jogos que despertem e mantenham o interesse desses gamers, tornando esse, o principal objetivo desta pesquisa. Para tal, utilizou-se a Análise de Clusters, através do método K-means para variáveis categóricas, onde foram encontradas quatro personas. Os grupos com mais idade e com renda mensal de R$ 2.200,01 a R$ 4.400,00 expressou um comportamento prudente em relação aos gastos com jogos (gastaram de 0 a 100 reais, nos últimos 6 meses). Os outros dois grupos restantes, mais jovens, apresentaram características financeiras distintas: o de menor renda mensal (até R$ 1.100,00) não foi o que menos gastou com jogos eletrônicos nos últimos 6 meses (101 a 250 reais). A pesquisa também concluiu que "autonomia para seguir vários caminhos" foi bastante valorizada pelos 4 perfis, nomeados de "jogador retraído", "jogador apaixonado", "jogador nostálgico" e "jogador vontade", refletindo as características principais de cada perfil.
Individuals constantly make consumption decisions, which impact not only the consumer, but also the entire chain that participates directly or indirectly in the creation of that product or service. Thus, there is a need to better understand the profiles of consumers of digital entertainment games, so that local developers can produce games that arouse and maintain the interest of these gamers, making this the main objective of this research. For this, Cluster Analysis was used, through the K-means method for categorical variables, where four personas were found, which were translated by their reference profiles (detailed in D descriptions), and represented a set of similar profiles in the sample space of the respondents, with homogeneous characteristics to this "focal profile". The groups composed of the oldest age group (31 40 years old) and with a monthly income of BRL 2,200.01 to BRL 4,400.00 expressed a prudent behavior in relation to spending on games (they spent from BRL 0.00 to BRL 100.00 in the last 6 months). The other two remaining groups, formed by the younger age group (21 30 years), had different financial characteristics: the one with the lowest monthly income (up to BRL 1,100.00) was not the one who spent the least on electronic games in the last 6 months. (BRL 101.00 to BRL 250.00). The survey also concluded that "autonomy to follow several paths" was highly valued by the 4 profiles, named "withdrawn player", "passionate player", "nostalgic player" and "willing player"" to reflect the main characteristics of each profile.
Sujets)
Adulte , Jeux vidéo , Comportement du consommateurRésumé
Los métodos de inteligencia artificial utilizando herramientas de aprendizaje no supervisado pueden apoyar la resolución de problemas al establecer patrones de agrupación o clasificación no identificados, que permiten tipificar subgrupos para manejos más individualizados. Existen pocos estudios que permiten conocer la influencia de síntomas digestivos y extradigestivos en la tipificación dispepsia funcional; esta investigación realizó un análisis de aprendizaje no supervisado por conglomerados basándose en dichos síntomas, para discriminar subtipos de dispepsia y comparar con una de las clasificaciones actualmente más aceptadas. Se realizó un análisis exploratorio de conglomerados en adultos con dispepsia funcional según síntomas digestivos, extradigestivos y emocionales. Se conformaron patrones de agrupación de tal manera que dentro de cada grupo existiera homogeneidad en cuanto a los valores adoptados por cada variable. El método de análisis de conglomerados fue bietápico y los resultados del patrón de clasificación se compararon con una de las clasificaciones más aceptadas de dispepsia funcional. De 184 casos, 157 cumplieron con criterios de inclusión. El análisis de conglomerados excluyó 34 casos no clasificables. Los pacientes con dispepsia de tipo 1 (conglomerado uno), presentaron mejoría al tratamiento en el 100% de los casos, solo una minoría presentaron síntomas depresivos. Los pacientes con dispepsia de tipo 2 (conglomerado dos) presentaron una mayor probabilidad de falla al tratamiento con inhibidor de bomba de protones, padecieron con mayor frecuencia trastornos de sueño, ansiedad, depresión, fibromialgia, limitaciones físicas o dolor crónico de naturaleza no digestiva. Esta clasificación de dispepsia por análisis de clúster establece una visión más holística de la dispepsia en la cual características extradigestivas, síntomas afectivos, presencia o no de trastornos de sueño y de dolor crónico permiten discriminar el comportamiento y respuesta al manejo de primera línea.
Artificial intelligence methods using unsupervised learning tools can support problem solving by establishing unidentified grouping or classification patterns that allow typing subgroups for more individualized management. There are few studies that allow us to know the influence of digestive and extra-digestive symptoms in the classification of functional dyspepsia. This research carried out a cluster unsupervised learning analysis based on these symptoms to discriminate subtypes of dyspepsia and compare with one of the currently most accepted classifications. An exploratory cluster analysis was carried out in adults with functional dyspepsia according to digestive, extra-digestive and emotional symptoms. Grouping patterns were formed in such a way that within each group there was homogeneity in terms of the values adopted by each variable. The cluster analysis method was two-stage and the results of the classification pattern were compared with one of the most accepted classifications of functional dyspepsia. Of 184 cases, 157 met the inclusion criteria. The cluster analysis excluded 34 unclassifiable cases. Patients with type 1 dyspepsia (cluster one) presented improvement after treatment in 100% of cases, only a minority presented depressive symptoms. Patients with type 2 dyspepsia (cluster two) presented a higher probability of failure to treatment with proton pump inhibitor, suffered more frequently from sleep disorders, anxiety, depression, fibromyalgia, physical limitations or chronic pain of a non-digestive nature. This classification of dyspepsia by cluster analysis establishes a more holistic vision of dyspepsia in which extradigestive characteristics, affective symptoms, presence or absence of sleep disorders and chronic pain allow discriminating behavior and response to first-line management.
Résumé
This study aimed to analyze the multiple characteristics of the decentralization of the Brazilian National Food and Nutritional Security System (SISAN) in a period before the institutional dismantling. Data from the 26 Brazilian states were collected in two public information systems, referring to the years 2017/2018. An exploratory and descriptive study was performed using a hierarchical cluster analysis, based on an analysis model with multiple characteristics of the system decentralization. The results indicated the formation of three clusters, showing the similarity among states with greater intersectoral and participatory character, better relationship with municipalities, and allocation of resources. On the other hand, states with less intersectoral and participatory character, linked to the low allocation of resources, execution of food security actions, and municipal support were clustered. These clusters composed mainly of North and Northeastern states, with a lower Gross Domestic Product, average Human Development Index, and a higher occurrence of food insecurity, expressed characteristics that may be related to greater obstacles in the system decentralization process. This information can help in the decision-making about the SISAN in a more equitable manner, supporting the actors involved in its maintenance and defense, at a time when the country presents an austere political and economic situation, marked by the progressive worsening of food insecurity.
Este estudo teve como objetivo analisar as múltiplas características da descentralização do Sistema Nacional de Segurança Alimentar e Nutricional (SISAN) em um período anterior ao desmonte institucional. Dados dos 26 estados brasileiros foram coletados em dois sistemas públicos de informação, referentes aos anos de 2017/2018. Um estudo exploratório e descritivo foi realizado por meio de uma análise de cluster hierárquica baseada em um modelo de análise com múltiplas características de um sistema descentralizado. Os resultados indicaram a formação de três clusters, mostrando a semelhança entre os estados com maior caráter intersetorial e participativo, assim como melhor relação com municípios e alocação de recursos. De forma oposta, os estados com menor caráter intersetorial e participativo foram agrupados, ligados à baixa alocação de recursos, execução de ações de segurança alimentar e de apoio municipal fracos. Os clusters compostos principalmente por estados do Norte e Nordeste, com menor Produto Interno Bruto, Índice de Desenvolvimento Humano médio e maior ocorrência de insegurança alimentar, expressaram características que podem estar relacionadas a maiores obstáculos na descentralização. Essas informações podem auxiliar na tomada de decisão do SISAN de forma mais equitativa, servindo de apoio aos atores envolvidos em sua manutenção e defesa, em um momento em que o país apresenta uma situação política e econômica de austeridade, marcada pela piora progressiva da situação de insegurança alimentar.
Este estudio tuvo como objetivo analizar las múltiples características de la descentralización del Sistema Nacional de Seguridad Alimentaria y Nutricional (SISAN) en el periodo anterior al desmantelamiento institucional. Los datos de los 26 estados brasileños se recolectaron de dos sistemas de información pública referentes al periodo 2017/2018. Se realizó un estudio exploratorio y descriptivo mediante análisis de clúster jerárquico basado en un modelo de análisis con múltiples características de un sistema descentralizado. Los resultados indicaron la formación de tres clústeres, mostrando la similitud entre los estados de mayor intersectorialidad y participación, así como una mejor relación con los municipios y asignación de recursos. Por otro lado, se agruparon los estados de menor carácter intersectorial y participativo, vinculados a la baja asignación de recursos, ejecución de acciones de seguridad alimentaria y débil apoyo municipal. Los clústeres compuestos principalmente por los estados del Norte y Nordeste de Brasil, con menor Producto Interno Bruto, Índice de Desarrollo Humano medio y mayor ocurrencia de inseguridad alimentaria tuvieron características expresadas que pueden estar relacionadas con mayores obstáculos en la descentralización. Estos datos pueden ayudar al SISAN en la toma de decisiones de manera más equitativa y servir de apoyo a los actores involucrados en su mantenimiento y defensa, en momentos en que el país se enfrenta a una situación política y económica de austeridad, marcada por el progresivo empeoramiento de la inseguridad alimentaria.
Résumé
ABSTRACT Objective: To determine the characteristics of individuals with asthma who are responsive to aerobic training. Methods: This post hoc analysis of pooled data from previous randomized controlled trials involved 101 individuals with moderate to severe asthma who underwent aerobic training. Participants underwent a maximal cardiopulmonary exercise test and completed the Asthma Control Questionnaire and the Asthma Quality of Life Questionnaire before and after a 24-session aerobic training program. Better and worse responders to aerobic training were identified by cluster analysis. Results: Two clusters were identified according to the improvement in peak VO2 after aerobic training (better and worse responders). Characteristics of the better responder group were being older, being female, having higher BMI, and having higher cardiac reserve at baseline when compared with the worse responder group. Also, better responders had worse clinical control, worse quality of life, and lower physical capacity at baseline. After training, worse responders, in comparison with better responders, showed half the improvement in Δpeak VO2 (7.4% vs. 13.6%; 95% CI, −12.1 to −0.92%; p < 0.05) and worse asthma control. A weak, negative, but significant association (r = −0.35; p < 0.05) was observed between clinical control and aerobic fitness only in the better responder group. Both groups showed significant improvement in quality of life. Conclusions: Obese individuals with worse exercise capacity, clinical control, and quality of life showed improvement with aerobic training. Moreover, worse responders also improved with training, but to a lesser extent.
RESUMO Objetivo: Determinar as características de indivíduos com asma responsivos a treinamento aeróbio. Métodos: Esta análise post hoc de dados agrupados provenientes de ensaios clínicos controlados randomizados anteriores envolveu 101 indivíduos com asma moderada a grave submetidos a treinamento aeróbico. Os participantes foram submetidos a um teste de exercício cardiopulmonar máximo e responderam ao Asthma Control Questionnaire e ao Asthma Quality of Life Questionnaire antes e depois de um programa de treinamento aeróbio de 24 sessões. Melhores e piores respondedores ao treinamento aeróbio foram identificados por análise de conglomerados. Resultados: Foram identificados dois conglomerados de acordo com a melhora do VO2 de pico após o treinamento aeróbio (melhores e piores respondedores). As características do grupo melhor respondedor foram maior idade, sexo feminino, IMC mais elevado e maior reserva cardíaca basal em comparação com o grupo pior respondedor. Os melhores respondedores também apresentavam pior controle clínico, pior qualidade de vida e menor capacidade física basal. Após o treinamento, os piores respondedores, em comparação com os melhores respondedores, apresentaram metade da melhora no ΔVO2 de pico (7,4% vs. 13,6%; IC95%: -12,1 a -0,92%; p < 0,05) e pior controle da asma. Observou-se uma associação negativa fraca, mas significativa (r = −0,35; p < 0,05) entre controle clínico e aptidão aeróbia apenas no grupo melhor respondedor. Ambos os grupos apresentaram melhora significativa da qualidade de vida. Conclusões: Os indivíduos obesos com pior capacidade de exercício, controle clínico e qualidade de vida apresentaram melhora com o treinamento aeróbio. Além disso, os piores respondedores também melhoraram com o treinamento, mas em menor grau.
Résumé
Resumo Fundamento A mensuração indireta da pressão sanguínea (PS) é sabidamente influenciada por diversos fatores como técnica, observador e equipamento, mas a influência da composição do braço ainda não foi investigada. Objetivo Identificar a influência da gordura do braço sobre a medida indireta da pressão sanguínea, utilizando modelos de inferência estatística e machine learning. Métodos Estudo transversal, com 489 adultos jovens saudáveis de 18 a 29 anos de idade. Foram medidos comprimento (COB), circunferência do braço (CB) e índice de gordura do braço (IGB). A PS foi mensurada em ambos os braços, simultaneamente. Os dados foram processados utilizando-se Python 3.0 e pacotes específicos para análise descritiva, regressão e clusterização. Um nível de significância de 5% foi adotado para todos os cálculos. Resultados A PS e as medidas antropométricas foram diferentes entre os hemicorpos. A pressão sanguínea sistólica (PAS), COB, e IGB foram maiores no braço direito (BD), enquanto CB foi similar em comparação ao braço esquerdo. COB e CB apresentaram correlação positiva com a PAS. Conforme o modelo de regressão, para determinado valor de CB e COB, a leitura da PAS poderá ter uma redução média de 1,80 mmHg no BD, e 1,62 mmHg no braço esquerdo, a cada 10% de aumento na IGB. A clusterização corroborou os resultados da regressão. Conclusão Foi encontrada uma influência significativa do IGB sobre a leitura da PS. A PAS teve correlação positiva com COB e CB, e correlação negativa com IGB, o que sugere a necessidade de mais investigações sobre a relação da PS com as frações de gordura e músculo do braço.
Abstract Background The indirect measurement of blood pressure (BP) is known to be influenced by many factors such as the technique, observer, and equipment; however, the influence of arm composition has not been investigated yet. Objective To identify the influence of arm fat on the indirect measurement of blood pressure using statistical inference and machine learning models. Methods Cross-sectional study, with 489 healthy young adults aged from 18 to 29 years old. Measurements of arm length (AL), arm circumference (AC) and arm fat index (AFI) were taken. BP was measured in both arms simultaneously. Data were processed using Python 3.0 and its specific packages for descriptive analysis, regression and cluster analysis. Significance levels: 5% for all calculations. Results BP and anthropometric measurements were different between the hemi-bodies. In the right arm, systolic blood pressure (SBP), AL and AFI were higher, while AC was similar compared with the left arm. AL and AC showed positive correlation with SBP. According to the regression model, for a fixed value of AC and AL, SBP readings could be reduced by a mean of 1.80 mmHg in the right arm, and 1.62 mmHg in the left arm for every 10% increase in AFI. Clustering analysis corroborated the regression results. Conclusion There was a significant influence of AFI on BP readings. SBP had a positive correlation with AL and AC, and a negative correlation with AFI, suggesting the need for further investigations on the relationship between BP and percentages of arm muscle and fat.
Résumé
Objective:To explore the risk stratification value of coronary CT angiography (CCTA) in patients with non-obstructive coronary artery disease based on cluster analysis and to identify the high-risk population of cardiovascular adverse events in patients.Methods:Prospective consecutive patients with suspected coronary artery disease who underwent CCTA examination and were confirmed as non-obstructive coronary heart disease were enrolled in the General Hospital of Chinese PLA from January 1, 2015 to December 31, 2017. The clinical characteristics and CCTA diagnosis information of patients were collected, and then follow-up was performed to obtain adverse cardiovascular events. Firstly, the cluster analysis based on CCTA information divided the patients into different groups. Then, the risk of adverse cardiovascular events was compared between different groups. Finally, segment involvement score (SIS) score, Leiden score, SIS score combined with clinical characteristics, Leiden score combined with clinical characteristics, and cluster information combined with clinical characteristics were used to stratify the population, and the concordance index-time curve and net reclassification improvement (NRI) index were described to compare the risk stratification ability of the five different models.Results:A total of 3 402 patients with non-obstructive coronary artery disease were included in the study, of whom 104 had adverse cardiovascular events during the follow-up period. Cluster analysis based on CCTA information classified patients into 3 different groups. There were statistically significant differences in clinical characteristics, CCTA information, and survival outcomes between groups ( P<0.05). The results of the concordance index-time curve showed that the risk stratification ability of CCTA cluster information combined with clinical characteristics was better than the current SIS score, Leiden score, SIS score combined with clinical characteristics, Leiden score combined with clinical characteristics. At the 1-year and 2-year time cutoffs, cluster information combined with clinical characteristics showed a positive increase in INR compared with the first four models (INR was 0.248 and 0.293, 0.316 and 0.293, 0.147 and 0.003, 0.192 and 0.007, respectively). Conclusion:CCTA based on cluster analysis has a good risk stratification value for patients with non-obstructive coronary artery disease and is helpful for individualized intervention.
Résumé
Objective:To explore the medication law and core Traditional Chinese Medicine (TCM) compounds in the treatment of blood stasis vascular dementia (VD) based on data mining.Methods:The literature about TCM treatment for blood stasis VD was retrieved from the databases of CNKI, Wanfang, VIP, and CBM from January 2000 to November 2021. Microsoft Office Excel 2019, SPSS Modeler 18.0, SPSS Statistics 25.0, R X64 4.1.2, and Origin 2021 were used to perform medication frequency analysis, frequency analysis of four properties and five tastes of TCM, association rules, clustering analysis, factor analysis and data visualization.Results:A total of 196 articles were included, with 196 TCM prescriptions, involving 200 kinds of Chinese materia medica. High-frequency drugs were for Acori Tatarinowii Rhizoma, Chuanxiong Rhizoma, Salviae Miltiorrhizae Radix et Rhizoma, Polygalae Radix, Carthami Flos. The medicinal properties were mainly warm, mild and cold, the tastes were mainly sweet, bitter and pungent, and the meridians were mainly liver meridian, spleen meridian and heart meridian. A total of 19 association rules were obtained from the analysis of association rules for 2 kinds of Chinese materia medica, and the rules of the representative were Acori Tatarinowii Rhizoma- Polygalae Radix, Chuanxiong Rhizoma- Carthami Flos, Acori Tatarinowii Rhizoma- Curcumae Radix. A total of 4 categories were extracted through clustering analysis. Factor analysis extracted a total of 8 common factors. Conclusion:The core pathogenesis of blood stasis VD is blood stasis blocking brain collaterals, and there were also pathological factors such as qi deficiency, yin deficiency, phlegm turbidity and so on. The basic treatment is promoting blood circulation and removing stasis, and different methods of promoting blood circulation and drugs are selected. The methods of strengthening spleen and reducing phlegm, nourishing yin and blood, inducing resuscitation, tonifying the kidney and spleen, regulating qi, promoting collaterals and so on can also be used based on syndromes and symptoms of the patients.
Résumé
Objective:To analyze the medication law of Traditional Chinese Medicine (TCM) patent compounds for Alzheimer disease (AD) by using data mining method.Methods:The TCM compounds for the treatment of AD in the patent database were screened, and the frequency, clustering and association analysis were carried out with the help of TCM inheritance calculation platform, SPSS Statistics 21.0 and SPSS Modeler 18.0 software. The medication law was analyzed.Results:A total of 220 patent compounds were included, involving 361 kinds of Chinese materia medica; the top 10 high-frequency drugs were Acori Tatarinowii Rhizoma, Polygalae Radix, Ginseng Radix et Rhizoma, Chuanxiong Rhizoma, Astragali Radix, Lycii Fructus, Poria, Rehmanniae Radix PraeparataAngelicae Sinensis Radix, Salviae Miltiorrhizae Radix et Rhizoma; the most frequently used drugs were drugs for tonifying deficiency and promoting blood circulation to remove blood stasis; most of their properties belonged to warm, mild and cold; the tastes were mainly sweet, bitter and pungent; the meridians belonged to the five internal organs. 16 items of association data (4 combinations of two items and 12 combinations of three items) were obtained by association rule analysis, and the strongest correlation group was " Acori Tatarinowii Rhizoma- Polygalae Radix" and " Acori Tatarinowii Rhizoma- Chuanxiong Rhizoma- Polygalae Radix". Cluster analysis showed four prescription combinations and three pairs of drug compatibility, including the addition and subtraction structure of Kaixin Powder, Zuogui Pill, Bazhen decoction and so on. Conclusion:The core treatment principle of TCM patent compound treatment of AD is regulating and tonifying the five internal organs to treat its root, resolving phlegm and removing blood stasis to treat the symptoms, which accords with the theoretical basis of TCM in the treatment of AD, and can provide reference for clinical practice and new drug research and development.
Résumé
Objective:To analyze the application and regularity of acupoint selection of Sanyinjiao (SP 6) based on data mining.Methods:Search for literatures in CNKI, Wanfang, VIP, and Pubmed, the clinical researches of acupuncture on Sanyinjiao (SP 6) point were selected, according to the inclusion and exclusion criteria, and the retrieval period was from database construction to September 30th, 2021. Excel 2016, SPSS Statistics 25.0, SPSS Modeler 18.0 were used to perform descriptive analysis, association analysis and cluster analysis.Results:After literature screening, a total of 261 literatures were included, involving 73 kinds of diseases, mainly including mental and behavioral disorders, genitourinary diseases, endocrine and nutritional metabolism diseases and nervous system diseases. The most frequently used acupoints in Sanyinjiao (SP 6) compatibility are Zusanli (ST 36), Baihui (GV 20), Guanyuan (CV 4) and Taichong (LR 3), most of which focus on stomach meridian, conception channel, governor channel and bladder meridian. Seven categories were extracted among high-frequency acupoints by cluster analysis. The association rule analysis showed that the commonly used combination of Sanyinjiao (SP 6) were Zusanli (ST 36)-Sanyinjiao (SP 6), Baihui (GV 20)-Sanyinjiao (SP 6), and Guanyuan (CV 4)-Sanyinjiao (SP 6).Conclusions:Sanyinjiao (SP 6) is widely used in clinical application, and it is always compatible with stomach meridian, conception vessel, governor channel acupoints, especially those acupoints on the outer and inner meridians and the upper and lower parts. Sanyinjiao (SP 6) combined with other acupoints can treat diseases of multiple systems, such as insomnia, stroke, anxiety and depression, dysmenorrhea, infertility, etc. Clustering and association analysis found the core compatibility law of Sanyinjiao (SP 6), which can be used as a reference for clinical acupoint selection.
Résumé
ObjectiveTo explore the macroscopic medication pattern of traditional Chinese medicine （TCM） in treating esophageal cancer （EC） and provide medication references for the clinical application of TCM in EC treatment. MethodRelevant literature on TCM treatment of EC was retrieved from three major Chinese databases： China National Knowledge Infrastructure （CNKI）， Wanfang Data， and VIP. Information about Chinese herbal medicines was entered into Excel to establish a prescription database for EC. The data were standardized， summarized， and subjected to frequency analysis， association rules， and cluster analysis of medication in the prescriptions. Based on the TCM classification of EC syndromes， clinical indications corresponding to each syndrome were identified， and high-frequency drugs and drug pairs were analyzed correspondingly with syndromes. ResultA total of 136 prescriptions containing 240 Chinese herbal medicines were screened， with a cumulative frequency of 1 853 times. The top 5 frequently used Chinese herbal medicines were Glycyrrhizae Radix et Rhizoma， Poria， Atractylodis Macrocephalae Rhizoma， Astragali Radix， and Pinelliae Rhizoma. In terms of functions， the Chinese herbal medicines were mainly deficiency-tonifying， urination-promoting and dampness-draining， deficiency-tonifying， deficiency-tonifying， and phlegm-resolving and cough and dyspnea-relieving ones. The statistical analysis of flavor， property， and meridian tropism showed that Chinese herbal medicines were mainly bitter and sweet， warm， cold， and neutral， and acted on the spleen， lung， and stomach meridians. Association rule analysis yielded nine potential drug combinations， and cluster analysis of high-frequency drugs resulted in four combination categories. The four TCM syndromes for EC corresponded to respective clinical indications， treatment drugs， and drug pairs. ConclusionTonifying deficiency， reinforcing healthy Qi， descending adverse Qi， resolving phlegm， activating blood， and resolving stasis are the basic principles of TCM treatment for EC， which are supplemented by clearing heat and dissipating mass while focusing on regulating and smoothing the qi movement. The drug combinations obtained from high-frequency drug and association rule analysis provide references for different TCM syndrome treatments of EC， offering valuable insights for clinical medication.
Résumé
OBJECTIVE To provide reference for quality control of Gentiana rhodantha. METHODS Taking 52 batches of G. rhodantha as subject， ultra-high performance liquid chromatography （UPLC） fingerprint was adopted. The similarity of 52 batches of medicinal materials samples was evaluated by the Similarity Evaluation System for Chromatographic Fingerprints of Traditional Chinese Medicine （2004A edition）； the content of mangiferin was determined； chemometric analyses [cluster analysis， principal component analysis （PCA） and orthogonal partial least squares-discriminant analysis （OPLS-DA）] were performed. RESULTS UPLC fingerprints of 52 batches of G. rhodantha were established， 17 common peaks were identified， and 6 of them were identified， which were loganic acid （peak 1）， neomangiferin （peak 3）， swertiamarin （peak 5）， dangyin （peak 6）， mangiferin （peak 7） and isoorientin （peak 9）. The similarities of 52 batches of medicinal materials samples were all greater than 0.9； cluster analysis showed that S1-S46， S48-S52 clustered into one class， and S47 alone； PCA results showed that the cumulative variance contribution rate of the first six principal components was 82.928%； OPLS-DA results showed that the corresponding components of swertiamarin， mangiferin and chemical composition represented by peak 4， 14， 15， 16 were the main iconic components affecting the quality differences of G. rhodantha medicinal materials. The contents of mangiferin in 52 batches of medicinal material samples ranged from 18.2 to 101.0 mg/g， mostly in accordance with 2020 edition of Chinese Pharmacopoeia. CONCLUSIONS The established UPLC fingerprint and chemometric analysis methods combined with content determination method of mangiferin can comprehensively evaluate the quality of G. rhodantha.
Résumé
Objective To explore the range of normal female pelvic diameter lines in Tibetan nationality. Methods The subjects were Tibetan nationality female who underwent pelvic CT examination in the Radiology Department from January 2016 to December 2019 at the General Hospital of the Tibet Military Region of PLA. Ninty-six samples between the ages of 22 and 65 years, with an average age (46.06±11.42)years were recruited. Mimics 19.0 software was used to construct the digital three-dimensional model of pelvis, and to measure transverse diameter(TD), obstetric conjugate(OC), interspinous distance(ISD), sagittal midpelvic diameter(SMD), intertuberous distance(ITD), sagittal outlet diameter(SOD),diagonal conjugate diameter(DCD),sacrum length(SL), penal height(PH).Analysis of variance was used to compare different age groups, and Pearson correlation analysis was used to analyze the relationship between age and pelvic diameter. Results The linear measurement of TD was (132.08±6.15) mm, OC was (112.44±9.43) mm, ISD was (107.30±8.70), SMD was (129.06±7.73) mm, ITD was (123.02±12.08) mm, SOD was (118.80±8.87) mm, DCD was (127.49±9.80) mm, SL was (102.56±10.88) mm and PH was (36.57±4.57) mm.Cluster analysis showed that Lhasa Tibetans were closest to Uygurs. Conclusion The close clustering relationship between Tibetans and Uygurs in Lhasa suggests that there is a possibility of gene exchange between Tibetans and Uygurs in Hotan area in ancient times. The pelvic diameter of Tibetan women in Lhasa has changed significantly. Narrower OC, SL and PH make the pelvis flat, which is more and more detrimental to natural childbirth.
Résumé
{L-End}Objective To analyze the spectrum characteristics of noise hazards in the metal products industry. {L-End}Methods A total of six metal product industries were selected as research subjects using stratified sampling method. The noise intensity (A/C-weighted) and noise spectrum (Z-weighted) of workplaces and job positions were detected. The characteristics of the noise spectrum of each job position were analyzed using the difference between equivalent continuous C-weighted sound pressure level (LCeq)-equivalent continuous A-weighted sound pressure level (LAeq), the dominant frequency of the noise spectrum, and cluster analysis methods. {L-End}Results The workplace noise and job position noise of 11 main noise positions in the metal products industry were exceeded national standard, with incidence of 69.2% and 78.1%, respectively. The average of normalization of equivalent continuous A-weighted sound pressure level to a normal 40 hours working week exceeded the national standard in 100.0% of hydraulic workers, welders, and ultrasonic cleaning workers. The result of spectrum analysis showed that the noise in the metal product industry was mainly broadband. The noise of the collision welder position was classified as low-frequency broadband noise, while the noise of the painter position was classified as low-frequency narrowband noise. The noise spectrum characteristics of other positions were similar and classified into one category, all of which were broadband noise. Among them, numerical control lathe workers, welders, threaders, machinists, and cutters were exposed to high-frequency broadband noise, while press workers were exposed to mid-frequency broadband noise, and grinders, hydraulic workers, and ultrasonic cleaning workers were exposed to low-frequency broadband noise. The detection rate of binaural high-frequency hearing threshold improvement among workers was 61.7%, and there was no statistical correlation between the detection rate of binaural high-frequency hearing threshold improvement and the noise level intensity of each spectrum. {L-End}Conclusion The level of noise hazards in the metal products industry is severe. Effective engineering control measures and hearing protection measures should be implemented based on the spectral characteristics of noises.
Résumé
{L-End}Objective To analyze sound pressure level and spectrum characteristics of noise from various equipment in noise-related worksites in wooden furniture enterprises in Zhongshan City. {L-End}Methods A total of 107 wooden furniture enterprises with equipment sound pressure levels ≥85.0 dB(A) were selected as the research subjects using the judgment sampling method. Individual noise meters were used to detect the sound level and spectrum of equipment in noise-related worksites. Cluster analysis was used to analyze the noise spectrum characteristics of each noise equipment. {L-End}Results The incidence of sound pressure level exceeding the national standard of occupational exposure limits for noise in workplace among the research subjects was 60.4% (365/604). The equipment with the highest sound pressure level was the sliding table saw (rough shape cutting position) at 101.4 dB(A), while the lowest was the sanding machine (grinding position) at 85.0 dB(A). The clustering analysis results showed that the noise spectrum characteristics of nail guns, sliding table saw, edge banders, spray guns, and drilling machines were similar, with the highest sound pressure level of 4 000.0 Hz, mainly concentrating in the high-frequency. The noise spectrum characteristics of punching machines, sanding machine, lathes, and engraving machines were similar, with the highest sound pressure level ranging from 500.0 to 1 000.0 Hz, mainly concentrating in the mid-frequency. The noise spectrum characteristics of drilling machines, planers, hot press machines, and mortise and tenon machines were similar, with the highest sound pressure level ranging from 500.0 to 1 000.0 Hz, mainly concentrating in the mid- and high-frequency. The sound pressure level of the mixer reached its peak at 8 000.0 Hz, demonstrating a wide frequency domain characteristic of sound pressure level with the presence of low-, mid- and high-frequencies. {L-End}Conclusion The noise-exposed hazards of wooden furniture enterprises are relatively serious, and the spectral characteristics of the equipment with noise are distinct. It is recommended to implement targeted noise reduction measures and personal hearing protection based on the specific spectrum characteristics of equipment noise.