Factors influencing depression markers in elderly primary healthcare center patients in Maringá, Paraná, Brazil, 2017

Analisar os fatores intervenientes nos indicativos de depressão em idosos das unidades básicas de saúde (UBS) do município de Maringá, Paraná, Brasil, em 2017. Estudo transversal, realizado com idosos usuários das UBS de Maringá; utilizou-se um questionário com questões sociodemográficas, a Escala de Depressão Geriátrica (Geriatric Depression Scale [GDS]) e o Questionário Internacional de Atividade Física (International Physical Activity Questionnaire [IPAQ]); foram analisadas as associações e comparações do indicativo de depressão com as variáveis sociodemográficas e as condições de saúde. 654 idosos participaram do estudo; apresentaram maior indicativo de depressão aqueles com menor renda mensal, percepção de saúde ruim, histórico de quedas e três ou mais comorbidades, enquanto os fisicamente ativos apresentaram menor indicativo de depressão. Renda mensal e condições de saúde parecem ser fatores intervenientes nos indicativos de depressão; a prática de atividades físicas leves está associada a menor tendência de depressão na terceira idade283To analyze factors influencing depression markers in elderly patients at primary healthcare centers (PHC) in the city of Maringá, Paraná, Brazil, in 2017. METHODS: this was a cross-sectional study carried out with elderly individuals at PHCs in Maringá city; we used a questionnaire comprising sociodemographic questions, the Geriatric Depression Scale (GDS) and the International Physical Activity Questionnaire (IPAQ); we analyzed associations and compared depression markers with sociodemographic variables and health conditions. RESULTS: 645 elderly people took part in the study; those with the highest depression markers had lower income, poor health perception, a history of falls and three or more comorbidities; the physically active elderly had lower depression markers. CONCLUSION: monthly income and health conditions are factors that influence depression markers; doing light physical activities is associated with lower tendency of depression in the elderl

Biometric analysis of protein and oil contents of soybean genotypes in different environments

The objective of this work was to identify by biometric analyses the most stable soybean parents, with higher oil or protein contents, cultivated at different seasons and locations of the state of Minas Gerais, Brazil. Forty-nine genotypes were evaluated in the municipalities of Viçosa, Visconde do Rio Branco, and São Gotardo, in the state of Minas Gerais, from 2009 to 2011. Protein and oil contents were analyzed by infrared spectrometry using a FT-NIR analyzer. The effects of genotype, environment, and genotype x environment interaction were significant. The BARC-8 soybean genotype is the best parent to increase protein contents in the progenies, followed by BR 8014887 and CS 3032PTA276-3-4. Selection for high oil content is more efficient when the crossings involve the Suprema, CD 01RR8384, and A7002 genotypes, which show high mean phenotypic values, wide adaptability, and greater stability to environmental variation