The Best Predictor of Anxiety, Stress, and Depression Among Institutionalized Elderly

Anxiety, stress, and depression are the three most common negative emotional constructs found in the elderly. Evidences available worldwide about how psychological problem could be resulted in mental disorder, and there is significant difference in the context of living in the nursing home and in community setting. This study aimed to determine the best predictor of anxiety, stress, and depression in elderly living in the nursing home, useful for future modification and intervention development. This cross-sectional study involved 145 elderly in a private nursing home in Surabaya, Indonesia. HARS, SPST-20, and GDS were used in data collection. Linear regression and one way ANOVA tests were used in data analysis (α<0.05). Results showed that mostly in old individuals, mild anxiety and stress, and undepressed state were found. Sensory problems and concentration difficulties were the best predictor of anxiety and stress respectively, which were accounted for 61.2% and 65.6% variances of anxiety and stress in nursing home residents respectively. Spirits, life energy, happiness, and feeling wonderful to be alive could not predict depression significantly. Feeling inferior to others is the best predictor of depression, which was accounted for 25.9% variance of depression in this population. Low self-esteem leads to depression in nursing home residents

Predictors of Post Prandial Glucose Level in Diabetic Elderly

Post prandial glucose (PPG) level describes the speed of glucose absorption after 2 hours of macronutrient consumption. By knowing this, we could get the big picture of insulin regulation function and macronutrient metabolism in our body. In elderly, age-related slower glucose metabolism leads to diabetes mellitus (DM) in older age. This study aimed to analyze the predictors of PPG level in diabetics elderly which consist of functional status, self-care activity, sleep quality, and stress level. Cross-sectional study design was applied in this study. There were 45 diabetic elderly participated by filling in study instruments. Pearson and Spearman Rank correlation test were used in data analysis (α<.05). Results showed that most respondents were female elderly, 60-74 years old, had DM for 1-5 years with no family history, and only 33.33% respondents reported regular consumption of oral anti diabetes (OAD). Hypertension was found to be frequent comorbidity. Statistical analysis results showed that functional status, self-care activity, sleep quality, and stress level were not significantly correlated with PPG level in diabetic elderly (all p>α), therefore these variables could not be PPG level predictors. Other factors may play a more important role in predicting PPG level in diabetic elderly

Orchid Exploration in the Forest of Saenam Village as Nuftah Plasma Conservation

This research was conducted with the aim of determining the types of orchid species in the Saenam Protected Forest, North Middle East Regency, East Nusa Tenggara Province. The Saenam Protected Forest has an area of ±10 km2, has biodiversity, including orchids. One of the information regarding the orchid inventory in Timor Mainland, especially in the Saenam Protection Forest, North Middle East Regency has never been reported. It is necessary to carry out this exploratory research as a basic data of the existing biological resources in the location. The research was carried out in July-September 2021. Sampling was carried out by purposive sampling with sampling using a plot method measuring 10 x 40 m. The distance of each plot is 10 m with the total number of plots in this study is 10 plots. The results showed that the types of orchids found in the Saenam Protection Forest were 9 genera of orchids. All orchids found in this study belong to the type of epiphytic orchid. The dominant orchids in this research area are Pholidota globusa, Dendrobium smilliae var. alba, and Dendrobium smilliae. The types of host trees found in the orchids were Pine and Forest Water Guav

The Influence of Anxiety and Stress toward Depression in Institutionalized Elderly

Due to age-related changes, the elderly are prone to psychological problems, such as anxiety and stress, and mental disorder, such as depression. This study aimed to analyze the influence of anxiety and stress on depression in elderly living in the nursing home. This cross-sectional study involved 145 elderly in a private nursing home in Surabaya, Indonesia. Hamilton Anxiety Rating Scale (HARS), Suan Prung Stress Test - 20 (SPST-20), and Geriatric Depression Scale (GDS) was used for collecting data. Linear and ordinal regression tests were used in data analysis (α<0.05).  Results showed that the majority was old married Chinese female with basic education level, and living in the nursing home for 1-3 years. Averagely, respondents had mild anxiety, mild stress, and not depressed. Anxiety has a significant influence on depression in elderly living in the nursing home (p = 0.000), and it was accounted for 12.8% variance of depression in this population (R2 = 0.128). Stress has significant influence also on depression (p = 0.000), and it was accounted for 24% variance of depression in this population (R2 = 0.240). Stress is proved to have more influence on depression in the elderly living in a nursing home compared to anxiety.Keywords: anxiety, depression, elderly, institutionalized elderly, nursing home, stres

The Use of Papaya (Carica papaya) Leaf Extract as a Natural Insecticide to Controlling Flies (Stomoxys sp.) in Cattle at Manokwari West Papua

This study aims to determine the effect of using papaya leaf extract (Carica papaya) as a natural insecticide in controlling flies (Stomoxys sp.) and to determine its potential as a natural insecticide in terms of economic aspects. The results of this study can be a source of information and contribute to the handling of cage flies as vectors of disease spread in cattle that are environmentally friendly, inexpensive and easy to obtain. This research was conducted at Campus II of the Manokwari Agricultural Development Polytechnic Teaching Factory Unit, Anday. The material used 15 cattle which were grouped into 5 groups and each group consisted of 3 cattle. Each group was given negative control/clean water (P0), papaya leaf extract 100% (P1), papaya leaf extract 75% (P2), papaya leaf extract 50% (P3), and positive control or synthetic insecticide (P4). The method of using the treatment is by spraying it on the cattle on the neck and shoulders. The result showed that the treatment P4 had the longest resistance to being infested by flies compared to other treatments, followed by treatments P1, P2, P3, and P0. The most effective administration of papaya flies in cattle was treatment P1, because it had a lower fly perch than treatment P2, P3 and P0

The best predictor of anxiety, stress, and depression among institutionalized elderly

Anxiety, stress, and depression are the three most common negative emotional constructs found in the elderly. Evidences available worldwide about how psychological problem could be resulted in mental disorder, and there is significant difference in the context of living in the nursing home and in community setting. This study aimed to determine the best predictor of anxiety, stress, and depression in elderly living in the nursing home, useful for future modification and intervention development. This cross-sectional study involved 145 elderly in a private nursing home in Surabaya, Indonesia. HARS, SPST-20, and GDS were used in data collection. Linear regression and one way ANOVA tests were used in data analysis (α<0.05). Results showed that mostly in old individuals, mild anxiety and stress, and undepressed state were found. Sensory problems and concentration difficulties were the best predictor of anxiety and stress respectively, which were accounted for 61.2% and 65.6% variances of anxiety and stress in nursing home residents respectively. Spirits, life energy, happiness, and feeling wonderful to be alive could not predict depression significantly. Feeling inferior to others is the best predictor of depression, which was accounted for 25.9% variance of depression in this population. Low self-esteem leads to depression in nursing home residents

The Effect of Corporate Social Responsibility Disclosure, Family Ownership, and Good Corporate Governance in Tax Avoidance

Tax avoidance is a management effort to reduce the amount of tax burden. There are several parameters which effective to evaluate tax avoidance behaviour of a company, consist of corporate social responsibility program (CSR), company ownership status and good corporate governance (GCG). The purpose of this paper is to evaluate tax avoidance behaviour, focused in three parameters (CSR, ownership, GCG) of 268 public listed manufacture company in Indonesia Stock Exchange period 2012-2016. General method of research is evaluating three parameters individually than integrated and compare with tax avoidance points to make a correlation. ETR is used to measure the value of tax avoidance, CSR is measured by GRI (91 items of disclosure), family ownership is measured by dummy, and GCG is measured by IPCG (103 items of disclosure). All of data is evaluate statistically using multiple linear regression analysis.Conclusion of the research resulted three significant findings. Corporate social responsbility and good corporate governance parameteres indicated significant negative in affect tax avoidance behaviour while family ownership status doesn’t have any influence on tax avoidance behaviour. Keywords: corporate social responsibility, family ownership, good corporate governance, tax avoidance. DOI: 10.7176/RJFA/10-6-06 Publication date:March 31st 201

Impact of Prezi Media-Assisted Problem-Based Learning on Scientific Literacy and Independence of Elementary School Students

The aim of this study was to analyze the impact of Problem Based Learning (PBL) with the support of Prezi media on scientific literacy and independence. The research design used was quasi-experimental in nature. The sample of this study consisted of 59 fourth grade students. Data were collected using a test and a questionnaire. The instruments used were a 20-item test to assess scientific literacy and a 30-item questionnaire to measure independence. The data were analyzed using descriptive analysis and statistical inference. Multivariate Analysis of Variance (MANOVA) was used in testing the hypotheses. The findings show that the PBL model supported by Prezi media has a simultaneous and partial effect on students' scientific literacy and independence. The findings also show that the Prezi media-enabled PBL model has a greater impact on scientific literacy than on students' independence

Steatosis-induced proteins adducts with lipid peroxidation products and nuclear electrophilic stress in hepatocytes

AbstractAccumulating evidence suggests that fatty livers are particularly more susceptible to several pathological conditions, including hepatic inflammation, cirrhosis and liver cancer. However the exact mechanism of such susceptibility is still largely obscure. The current study aimed to elucidate the effect of hepatocytes lipid accumulation on the nuclear electrophilic stress. Accumulation of intracellular lipids was significantly increased in HepG2 cells incubated with fatty acid (FA) complex (1mM, 2:1 oleic and palmitic acids). In FA-treated cells, lipid droplets were localized around the nucleus and seemed to induce mechanical force, leading to the disruption of the nucleus morphology. Level of reactive oxygen species (ROS) was significantly increased in FA-loaded cells and was further augmented by treatment with moderate stressor (CoCl2). Increased ROS resulted in formation of reactive carbonyls (aldehydes and ketones, derived from lipid peroxidation) with a strong perinuclear accumulation. Mass-spectroscopy analysis indicated that lipid accumulation per-se can results in modification of nuclear protein by reactive lipid peroxidation products (oxoLPP). 235 Modified proteins involved in transcription regulation, splicing, protein synthesis and degradation, DNA repair and lipid metabolism were identified uniquely in FA-treated cells. These findings suggest that steatosis can affect nuclear redox state, and induce modifications of nuclear proteins by reactive oxoLPP accumulated in the perinuclear space upon FA-treatment

Computational solutions in redox lipidomics – Current strategies and future perspectives

Abstract The high chemical diversity of lipids allows them to perform multiple biological functions ranging from serving as structural building blocks of biological membranes to regulation of metabolism and signal transduction. In addition to the native lipidome, lipid species derived from enzymatic and non-enzymatic modifications (the epilipidome) make the overall picture even more complex, as their functions are still largely unknown. Oxidized lipids represent the fraction of epilipidome which has attracted high scientific attention due to their apparent involvement in the onset and development of numerous human disorders. Development of high-throughput analytical methods such as liquid chromatography coupled on-line to mass spectrometry provides the possibility to address epilipidome diversity in complex biological samples. However, the main bottleneck of redox lipidomics, the branch of lipidomics dealing with the characterization of oxidized lipids, remains the lack of optimal computational tools for robust, accurate and specific identification of already discovered and yet unknown modified lipids. Here we discuss the main principles of high-throughput identification of lipids and their modified forms and review the main software tools currently available in redox lipidomics. Different levels of confidence for software assisted identification of redox lipidome are defined and necessary steps toward optimal computational solutions are proposed