Serum homocysteine and cysteine levels and associated factors in children and adolescents

Introduction: Studies have identified high serum homocysteine (Hcy) and cysteine (Cys) levels as risk factor for cardiovascular diseases, important cause of death in all world. The factors associated with high levels of these biochemistry markers in adults are well known; however, data are sparse on these associations in the pediatric age group. Objective: the objective was to identify factors associated with different concentrations of serum Hcy and Cys in children and adolescents. Methods: a cross-sectional study with 483 individuals of 7-15 years of age of both sexes, from a municipality of Bahia. Serum Hcy and Cys levels were considered outcome variables, with exposure being evaluated according to sociodemographic, clinical, biochemical and lifestyle variables. Polytomous logistic regression was used to evaluate the association between exposure and outcome. Results: high serum Hcy levels were associated with being male (PR=3.74; p12 years, being overweight, high blood pressure, low HDL-c levels, high triglyceride levels and poor intake of protective foods are common factors found in individuals with increased serum Hcy and Cys levels. Being male was associated with high serum Hcy levels alone. Considering that these factors are already present early in life, measures should be adopted to prevent and control high Hcy and Cys levels, promoting health and preventing chronic non-communicable diseases at this stage of life

Curcumin supplementation in the treatment of patients with cancer: a systematic review

Feeding with high levels of phytochemicals, including curcumin, may be a therapeutic option for diseases such as cancer which is a public health problem. The aim of this study was to systematically review the results of clinical trials investigating the effect of oral curcumin supplementation on anti-inflammatory and antioxidant profiles, reduction of PSA levels and degree of dermatitis in radiotherapy treatment in cancer patients. The review was carried out based on the items of the PRISMA Statement. A bias risk assessment was performed according to Cochrane Collaboration criteria. Six studies met the eligibility criteria and were included in the systematic review. The results of this study are based on those obtained in the literature on the effect of curcumin on the anti-inflammatory profile, on reducing dermatitis, on PSA alteration and on anti-oxidant profile for a total of 450 individuals, comprising 259 in the intervention group and 191 in the control group. Some studies have reported improvement in biochemical and clinical indicators, with limited adverse effects and good tolerance. It was not possible to determine, with the desired degree of evidence, the effect of curcumin supplementation in the treatment of cancer patients. It is important to consider the great heterogeneity and methodological weaknesses of the studies, and that it was not possible to perform a meta-analysis of the data available in the literature

[Body image is associated with anthropometric status in adolescents, but not with lifestyle]

Body image is a construct of the multifaceted representation of body identity that involves self-perception, beliefs, attitudes about the body itself, which can be influenced by several factors. This study evaluated the association of body image with anthropometric and lifestyle indicators among adolescents. The sample comprised 465 adolescents aged 10 to 17 years from public schools in the city of Salvador-Bahia. The Silhouettes Scale assessed the body image. The anthropometric data (body mass index and waist circumference), the lifestyle (Physical Activity Questionnaire for Adolescents and television time), economic and demographic data were evaluated. Polytomous logistic regression assessed associations of interest by STATA, version 16.0. Overweight (OR:9,7; CI95%:5,4-17,5) and abdominal obesity (OR:14,0; CI95%: 5,0-39,3) were positively associated with body dissatisfaction. However, there was no association with lifestyle variables (physical activity: OR: 1,7, CI: 0,9-2,9, and TV time: OR:1,2; CI:0,8-1,9). The conclusion reached is that anthropometric status is an essential indicator of adverse body image outcomes in adolescents

Evaluation of the effectiveness of brazilian community restaurants for the dimension of low-income people access to food

This study aimed to evaluate the effectiveness of community restaurants (CRs), managed by the Government of the State of Bahia/Brazil, for the dimension of access to food. The study used secondary data obtained from the public opinion survey Profile of users of community restaurants in Salvador. The nutritional information was accessed through the analysis of CRs’ menus. Adequate effectiveness of access to food was considered when the CR served meals to 50% to 70% of the users considered the target audience (individuals served by the two CRs located in the city of Salvador/Bahia/Brazil). The participants (n = 1464; 778 as low-income individuals) were adult CR users from Salvador/Brazil. Most of the respondents were male, 40 to 54 years old, not white, had up to 9 years of formal education, without a partner, and living in the municipality of Salvador. The evaluated CRs are effective in serving 53.1% of the target population in their total service capacity. Meal provision only reached an estimated 0.7% of the socially vulnerable community in the district. The average energy value of the meal served by the CR units was 853.05 kcal/meal, with a mean energy density composition classified as average (1.15 kcal/g). The effectiveness of the evaluated community restaurants showed that these instruments were minimally effective in promoting access to food for the low-income population within their total daily service capacity, and the current quantity of these facilities was insufficient. However, these instruments stand out in the fundamental role of promoting the daily distribution of meals to the Brazilian population with the highest social vulnerability levels

Aspectos metodológicos e desafios da Coorte On-line Comportamento Alimentar e Saúde Mental (COCASa) de docentes e discentes universitários durante a pandemia da COVID-19

O distanciamento social adotado para controle da COVID-19 obrigou Instituições de Ensino Superior (IES) a aderirem a novas estratégias para realização das atividades acadêmicas e muitas pesquisas passaram a ser realizadas em ambientes virtuais. O objetivo deste artigo é descrever os aspectos metodológicos e principais desafios enfrentados para a execução do projeto COCASa, um estudo de coorte on-line sobre comportamento alimentar e saúde mental de docentes e discentes de IES do Brasil. O estudo foi iniciado em julho de 2020 e acompanhará os participantes por dois anos. Adotou-se amostragem não probabilística estratificada proporcional com a utilização de escalas, de inquérito alimentar e de questões estruturadas elaboradas pela equipe do projeto. Entre os participantes do baseline, 4.074 discentes e 2.210 docentes iniciaram o questionário e, respectivamente, 76,8% e 85,1% finalizaram o preenchimento. Em ambos os grupos, a maior participação foi de mulheres (docentes: 66,7% e discentes: 76,2%) e residentes nas regiões Nordeste (docentes: 37% e discentes: 50,9%) e Sul (docentes: 27,1% e discentes: 22,5%) do Brasil. A pesquisa on-line amplia a possibilidade de recrutamento de participantes e alcança limites territoriais com menor demanda por financiamento. Durante a pandemia da COVID-19, o uso do ambiente virtual tornou-se uma estratégia viável e acessível para a manutenção das atividades de pesquisa, configurando-se como uma provável tendência a ser adotada pela comunidade científica

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost