• Korean Public Health Research
• /
• v.44 no.4
• /
• pp.99-109
• /
• 2018

Objective : Health literacy (HL) is, defined as "the degree to which individuals have the capacity to obtain, process, and understand basic health information and services needed to make appropriate health decisions." Being old is one of the main risk factors with limited health literacy. This study aims to adapt Chew's health literacy scale into the Korean language and validate the scale for the use of the elderly. Methods : Data were drawn from the '2016 Seoul Survey on Elderly Health and Functional Assessment, which includes a total of 725 people aged 60 to 79. The sample was randomly divided into two groups for reliability and validity tests of the modified Chew's scale of 8 items. The Korean version of the questionnaire was developed by group translation, expert reviews, and forward-backward translation. Exploratory and confirmatory factor analyses were conducted to assess and validate the factor structure of the scale. Results : Results suggest the two-factor structure ("Understanding" and "Applying" of HL) with 8 items. Exploratory factor analyses of the first sample (n=400) revealed that the internal reliability of the scale was high (Cronbach's ${\alpha}=.904$). Principal axis factoring extracted two factors ("Understanding" and "Applying" of HL) and explained 78.3% of total variance (KMO=.872, Bartlett's ${\chi}^2=2431.3$, df=28, p<.001). Confirmatory factor analysis of the second sample (n=325) was performed and the two-factor model was supported (GFI=.960, CFI=.979, TLI=.969, RMSEA=0.075). Conclusions : This study provides evidence for adequate criterion and validity of the health literacy scale for the community dwelling elderly in Korea.

• 한국노년학
• /
• v.41 no.1
• /
• pp.149-168
• /
• 2021

This study was to develop the Medication Adherence Scale in Elderly (MAS-E) with chronic disease and verify its reliability and validity. The MAS-E was developed in 5 steps: Configuration of conceptual frame by content analysis, preliminary items, pilot study, reliability and validity test, and development of final MAS-E with chronic disease. The questionnaires were collected from 345 adults with one-to-one interviews. Verification of its reliability and validity was divided into two phases. Reliability was tested using Cronbach's alpha, split-halves reliability, and test-retest. For validity tests, item analysis, factor analysis, total score-factor score correlation analysis, and criterion related validity were used. The developed scale consisted of 18 items and 4 factors - remember of taking medication (2 items), expectations for drug effects (5 items), practice taking medication according to instructions (8 items), communicating with health professionals (3 items), and explained 69.7% of total variance. The scale had significantly positive correlation (r = .72, p <.001) with the Morisky Medication Adherence Scale (MMAS-8). Cronbach's alpha was .91, Guttman split half coefficient was .80, and test-retest reliability was .912. Finding suggest that the MAS-E is a suitable scale to assess the status of medication adherence in elderly with chronic disease.

• Journal of Korean Clinical Nursing Research
• /
• v.29 no.2
• /
• pp.198-209
• /
• 2023

Purpose: The purpose of this study was to develop a Korean Adult Patients Delirium Screening Tool (K-APDS) for those admitted to general wards, and to verify its reliability and validity. Methods: For the development of the tool, 12 items were derived through the results of literature review and focus group interviews with general ward nurses, and the content validity was confirmed by experts. To verify the reliability and validity of the developed tool, 317 adult patients who were admitted to general wards of three tertiary general hospitals from October to November 2022 were evaluated by the attending nurse and data were collected. Results: After factor analysis for construct validity verification, two factors were extracted, which explained 60.1% of the total variance. After the validation of the control group, the difference in the delirium incidence scores calculated using the K-APDS between the delirium group and non-delirium group was very significant (Z=-10.82, p<.001). To verify the criterion validity, K-APDS, Delirium Observation Screening, and Pearson's correlation coefficient were checked and found to be .94 (p<.001). The predictive validity test reported that the sensitivity was 91.1%, specificity was 82.4%, positive predictive value was 52.6%, and negative predictive value was 97.8%. The reliability of K-APDS was found to be high with Cronbach's ⍺=.91. Conclusion: K-APDS can screen for delirium with 2 or more points, excellent validity and reliability have been verified. Therefore, this tool could be applied immediately in the clinical field, and will contribute to the early detection of delirium, enabling rapid interventions.

• Korean Journal of Culture and Social Issue
• /
• v.18 no.4
• /
• pp.481-503
• /
• 2012

This study aims to investigate the effects of the Big Five Aspects on psychological adjustment and the practical use of the Big Five Aspects in personality studies. Correlations between psychological adjustment(subjective well-being, life satisfaction, anxiety, depression) and the Big Five Aspects were compared to correlations between the Big Five and psychological adjustment. The results showed distinction between two aspects within each of the Big Five that major personality traits that are actually related to psychological adjustment were found. Multiple regressions were used with subjective well-being, life satisfaction, anxiety, and depression as criterion variables to investigate the effect of the Big Five Aspect on psychological adjustment and the results are as followed. Big Five Aspects accounted for 66.2% of the variance in subjective well-being and withdrawal, compassion, industriousness, enthusiasm, assertiveness, openness significantly predicted subjective well-being. Life satisfaction and depression were significantly predicted by withdrawal and enthusiasm. Withdrawal was the only variable that significantly predicted anxiety. Multiple regression also showed that withdrawal and enthusiasm were the most consistent, accountable variables in predicting overall psychological adjustment. This findings indicate that individual's personality traits played a significant role in predicting subjective well-being and mental health as consistent with past findings, and that the Big Five Aspects can offer more detailed and specific description than the Big Five can. Finally, the research discusses implications, limitations and suggestions for further studies.

• Korean Journal of Social Welfare
• /
• v.54
• /
• pp.5-33
• /
• 2003

This study is about the re-validation evaluation of the family Relationship Scale (FRS), developed to measure the family relationship in the social work practice. This study aims at re-validating the FRS, developed and validated in by Yang in 2001 for more general utilization. The sample was married mates and females residing in Seoul. For Face Validity, the content analysis was performed, and the FRS was re-validated in the dimensions of Love & Caring, Acceptance, and Recognition, positive affection, empathy, and autonomy and flexibility for each area. Internal reliability was .93, and internal consistency among three dimensions was 93%. For Empirical Validity, the Construct validity, the Criterion validity, and the Discriminant validity were performed. Construct Validity was validated through factor analyses. Commonalities for the factor analysis was 54%, and the factor loading for each factor was over .45. The confirmative factor analysis also confirmed the fitness of the scale. For Predictive Validity of Criterion Validity, regression analysis showed that the family stress scores became lower as the scores of the family relationship became higher; the discriminant analysis revealed that the family stress turned low ill tile group of high scores of family relationship. The Correlation analysis for Concurrent Validity was performed and the results showed the positive and significant relationship with a couple communication level (r=54) and a parent-child communication level (r=64). Life satisfaction and mental health level also revealed significantly positive correlation to prove Convergent Validity. Physical health level revealed a weak relationship with family relationship providing the evidence of Discriminant Validity. Discriminance was also proved by the analysis of variance with demographics. Thus, Cross Validation was confirmed the validation of the FRS through the various analyses with the married population. This study result improved the validity generalization of the Scale and verify the generalized usage of this sociometric scale in the field of social work practice.

• Journal of agricultural medicine and community health
• /
• v.37 no.1
• /
• pp.12-22
• /
• 2012

Objectives: This study aimed to compare the nutritional risk, health status and depression levels of young-old (65-74 years) and old-old (75-84 years) women on low-income. Methods: A total of 624 elderly women, each over 65 years of age, participated in this study under the auspices of a community social center. Data were collected from June to August 2011 by means of personal interviews which employed questionnaires. The research tools used in this study were the nutritional risk measuring Mini Nutritional Assesment (MNA) by Kim (2000), perceived health status developed by Lawton et al. (1982), Elderly Depression Criterion developed by Sheikh & Yesavage (1985). The collected data were analyzed using the SPSS WIN 12.0 Program. Results: Nutritional risk, perceived health status and depression levels showed a significant difference between young-old and old-old. There was a positive correlation between nutritional risk and depression and a negative correlation between nutritional risk and perceived health status. A 38.2% variance in depression levels of young-old and a 29.7% variance in depression levels of old-old were explained by perceived health status, nutritional risk and the number of people living together. Conclusion: The findings demonstrate variances in depression levels among low - income women differing in age. As a result, the outcomes of this study ought to be employed in the development of future programs aimed at promoting the health of elderly women.

• Progress in Medical Physics
• /
• v.14 no.4
• /
• pp.211-217
• /
• 2003

The Principal component analysis (PCA) is a well-known data analysis method that is useful in linear feature extraction and data compression. The PCA is a linear transformation that applies an orthogonal rotation to the original data, so as to maximize the retained variance. PCA is a classical technique for obtaining an optimal overall mapping of linearly dependent patterns of correlation between variables (e.g. neurons). PCA provides, in the mean-squared error sense, an optimal linear mapping of the signals which are spread across a group of variables. These signals are concentrated into the first few components, while the noise, i.e. variance which is uncorrelated across variables, is sequestered in the remaining components. PCA has been used extensively to resolve temporal patterns in neurophysiological recordings. Because the retinal signal is stochastic process, PCA can be used to identify the retinal spikes. With excised rabbit eye, retina was isolated. A piece of retina was attached with the ganglion cell side to the surface of the microelectrode array (MEA). The MEA consisted of glass plate with 60 substrate integrated and insulated golden connection lanes terminating in an 8${\times}$8 array (spacing 200 $\mu$m, electrode diameter 30 $\mu$m) in the center of the plate. The MEA 60 system was used for the recording of retinal ganglion cell activity. The action potentials of each channel were sorted by off­line analysis tool. Spikes were detected with a threshold criterion and sorted according to their principal component composition. The first (PC1) and second principal component values (PC2) were calculated using all the waveforms of the each channel and all n time points in the waveform, where several clusters could be separated clearly in two dimension. We verified that PCA-based waveform detection was effective as an initial approach for spike sorting method.

• Journal of Korean Society of Forest Science
• /
• v.104 no.1
• /
• pp.150-161
• /
• 2015

The purpose of this study was to obtain the basic data for the effective development and operation of forest healing by analysing the preference of adults on the forest therapy program. The survey of 516 normal adults on the forest therapy program was conducted. Using SPSS 21.0 Program, data analysis of descriptive statistics and correlation analysis of each program confirmed number of covariate, and so we conducted a factor analysis to short meaningful data. And then we looked at the forest healing program preference difference according to demographic characteristics(sex, age, residence, occupation) through reliability analysis, frequency analysis, T-test, analysis of variance(ANOVA). Facter analysis was performed by use of the VariMax orthogonal rotation factor analysis to abbreviate 37 forest therapy program. Through this, the program has been reduced such as 7 program group(1: psychology-based treatment, 2: teaching and counselling-based treatment, 3: camping and forest bath-based treatment, 4: diet-based treatment, 5: nature and plant-based treatment, 6: meditation-based treatment, 7: respiration and yoga-based treatment) and 7 independent programs(1: sleeping in the forest, 2: vision quest, 3: soaking in water, 4: walking wearing shoes, 5: viewing the forest, 6: mountaineering, 7: athletics in the forest). With this criterion, the forest therapy program difference in accordance with sex, age, residence, occupation has been investigated. First, it was verified that there was a significant difference between male and female in the group of such as psychology-based treatment, diet-based treatment, mountaineering. Second, there appeared a significant difference in groups such as teaching and counselling-based treatment, camping and forest bath-based treatment, nature and plant-based treatment, respiration and yoga-based treatment, athletics in the forest. Third, according to the residence, there appeared a significant difference in groups such as psychology-based treatment, teaching and counselling-based treatment, diet-based treatment, nature and plant-based treatment, meditation-based treatment, vision quest, mountaineering, athletics in the forest. Fourth, according to the occupation, there appeared a significant difference in groups such as nature and plant-based treatment, medication-based treatment, vision quest, walking wearing shoes, viewing the forest, mountaineering. As shown before, it seems to be necessary that we should be mindful of this investigation which shows variety of preference of adults on the forest therapy program according to demographic characteristics. We expect the results of this study to be utilized as basic data for the development of forest therapy program targeting on adults.

• Journal of Korean Society of Environmental Engineers
• /
• v.32 no.8
• /
• pp.739-746
• /
• 2010

The purposes of this study are 1) to develop an advanced chamber system within ${\pm}10%$ of air velocity at the particulate matter (PM) collection area, 2) to research theoretical characteristics of PM10 and PM2.5 samplers, 3) to assess the performance characteristics of PM10 and PM2.5 samplers through chamber experiments. The total six one-hour experiments were conducted using the cornstarch with an mass median aerodynamic diameter (MMAD) of $20\;{\mu}m$ and an geometric standard deviation of 2.0 at the two different air velocity conditions of 0.67 m/s and 2.15 m/s in the chamber. The aerosol samplers used in the present study are one APM PM10 and one PM2.5 samplers accordance with the US federal reference methods and specially designed three mini-volume aerosol samplers (two for PM10 and one for PM2.5). The overall results indicate that PM10 and PM2.5 mini-volume samplers need correction factors of 0.25 and 0.39 respectively when APM PM samplers considered as reference samplers and there is significant difference between two mini-volume aerosol samplers when a two-way analysis of variance is tested using the measured PM10 mass concentrations. The PM10 and PM2.5 samplers with the cutpoints and slopes (PM10: $10{\pm}0.5\;{\mu}m$ and $1.5{\pm}0.1$, PM2.5: $2.5{\pm}0.2\;{\mu}m$ and $1.3{\pm}0.03$) theoretically collect the ranges of 86~114% and 64~152% considering the cornstarch characteristics used in this research. Furthermore, the calculated mass concentrations of PM samplers are higher than the ideal mass concentrations when the airborne MMADs for the cornstarch used are smaller than the cutpoints of PM samplers and the PM samplers collected less PM in another case. The chamber experiment also showed that PM10 and PM2.5 samplers had the bigger collection ranges of 37~158% and 55~149% than the theocratical calculated mass concentration ranges and the relatively similar mass concentration ranges were measured at the air velocity of 2.15 m/s comparing with the 0.67 m/s.

• Journal of Korean Society of Forest Science
• /
• v.83 no.2
• /
• pp.175-190
• /
• 1994

In order to get fundamental information for prediction of landslide hazard, both forest and site factors affecting slope stability were investigated in many areas of active landslides. Twelve descriptors were identified and quantified to develop the prediction model by multivariate statistical analysis. The main results obtained could be summarized as follows : The main factors influencing a large scale of landslide were shown in order of precipitation, age group of forest trees, altitude, soil texture, slope gradient, position of slope, vegetation, stream order, vertical slope, bed rock, soil depth and aspect. According to partial correlation coefficient, it was shown in order of age group of forest trees, precipitation, soil texture, bed rock, slope gradient, position of slope, altitude, vertical slope, stream order, vegetation, soil depth and aspect. The main factors influencing a landslide occurrence were shown in order of age group of forest trees, altitude, soil texture, slope gradient, precipitation, vertical slope, stream order, bed rock and soil depth. Two prediction models were developed by magnitude and frequency of landslide. Particularly, a prediction method by magnitude of landslide was changed the score for the convenience of use. If the total store of the various factors mark over 9.1636, it is evaluated as a very dangerous area. The mean score of landslide and non-landslide group was 0.1977 and -0.1977, and variance was 0.1100 and 0.1250, respectively. The boundary value between the two groups related to slope stability was -0.02, and its predicted rate of discrimination was 73%. In the score range of the degree of landslide hazard based on the boundary value of discrimination, class A was 0.3132 over, class B was 0.3132 to -0.1050, class C was -0.1050 to -0.4196, class D was -0.4195 below. The rank of landslide hazard could be divided into classes A, B, C and D by the boundary value. In the number of slope, class A was 68, class B was 115, class C was 65, and class D was 52. The rate of landslide occurrence in class A and class B was shown at the hige prediction of 83%. Therefore, dangerous areas selected by the prediction method of landslide could be mapped for land-use planning and criterion of disaster district. And also, it could be applied to an administration index for disaster prevention.