Self-care related knowledge, attitude, practice and associated factors among patients with diabetes in Ayder Comprehensive Specialized Hospital, North Ethiopia

Abstract Objective A good self-care practice is important for patients with diabetes to achieve the desired treatment targets and to contribute meaningfully in the management of their disease. The study aimed to assess the level of knowledge, attitude and practice of diabetes self-care and to identify the factors associated with diabetes self-care. Results A total of 338 patients with diabetes having mean age of 45.8 years were included in the study. Among those 70.4%, 70.4% and 25.5% of the patients had a good knowledge, attitude and self-care practices, respectively. Being male (AOR = 2.7, 95% CI 1.30–5.65), living in urban (AOR = 3.37, 95% CI 1.39–8.15) and earning medium income (AOR = 2.55, 95% CI 1.15–5.65) were significantly associated with having good knowledge of self-care while being widowed (AOR = 0.15, 95% CI 0.03–0.70) was associated with having poor knowledge. Having a higher income (AOR = 7.95, 95% CI 1.54–41.12) was significantly associated with a good attitude towards diabetic self-care. However, taking both insulin and oral hypoglycemics (AOR = 0.06, 95% CI 0.01–0.67) was associated with a poor attitude. Being Muslim (AOR = 3.14, 95% CI 1.28–7.91), living in urban areas (6.47, 95% CI 1.38–30.43) and earning high income (AOR = 3.03, 95% CI 1.10–8.35) were determinant of good self-care practice. Efforts should be made to improve self-care practices of patients in closing the gap between knowledge and practice

Parametric and Non-Parametric Measures to Identify Stable and Adaptable Cotton (Gossypium Hirsutum L.) Genotypes

ABSTRACTThe study, comprised seventeen genotypes, was conducted during 2016 to 2019 growing seasons. The design was Randomized Complete Block Design (RCBD) with three replications to identify adaptable cotton genotypes. Parametric and non-parametric measures, principal component analysis (PCA) and correlation among the ranks of the parameters computed using R software. The environment, genotype and genotype-environment interaction contributed 79.58, 3.2 and 15.46% of the variation, respectively, and were significant (p < 0.001). The highest (1510.7 kg/ha) and lowest (1080.1 kg/ha) seed cotton yield was recorded from G12 and G8 genotypes respectively. Coefficients of determination (R2) and superiority index (Pi) recognized G13, G11, G10 and G11, G12, G7 as the top three stable genotypes correspondingly. G10 was selected three times as superior by stability variance (σ2), wricke’s ecovalence (Wi) and deviation from regression (S2di). Seed cotton yield positively correlated with GAI, Kang’s rank-sum (KRS), Huhn and Nassar S(1), S(6) S(3) while negatively correlated with Thennarasu stability measures NP(2), NP(3) and NP(4 . The first, second and third clusters of the PCA biplot comprised, 4, 4 and 10 parameters respectively. G12, with highest seed cotton yield and good stability, was the best genotype and recommended for variety verification