A Mixed-Methods Study to Develop a Resilience Scale for Thai Elderly with Chronic Diseases and Depression

This study was an exploratory sequential mixed-methods design to develop a resilience scale for Thai elderly with chronic diseases and depression. The qualitative findings from the focus group discussion with 6 participants were used to develop a resilience scale, and the scale was then tested on 310 samples to check the reliability and validity of the scale. The qualitative results showed that resilience was defined in 3 themes: My Characteristics, My Abilities, and My Dependencies, which were composed of 9 different categories. The results of the quantitative examination showed that all 21 items of the resilience scale had a good corrected item-total correlation and the Cronbach’s alpha coefficient of 0.85 indicated that the scale was internally consistent and highly reliable. The construct validity of the resilience scale was tested by confirmatory factor analysis and revealed that the resilience model was consistent with the empirical data based on the goodness-of-fit index ( chi − square = 161.51 , df = 186 , p value = 0.90 , RMSEA = 0.000 ). All the results show that the resilience scale has excellent and appropriate psychological properties. Health-care workers can use the resilience scale to assess the elderly and develop a resilience-promoting program specifically for the elderly with chronic diseases and depression to improve the well-being of the elderly.

Online Trolling: The Impact of Antisocial Online Content, Social Media Use, and Gender

The present study aimed to observe the relationships between online trolling, exposure to antisocial online content, frequency of social media use, and gender, using the GAM as a theoretical framework. Four hundred twenty-nine Brazilian internet users (mean = 25.07 years; SD = 7.59; EP = 0.36), most of whom were women (71.8%), participated in the survey. Bivariate correlations indicated a positive relationship between online trolling, exposure to antisocial online content (r = 0.12; p < 0.01), Facebook use (r = 0.21; p < 0.01), Twitter Use (r = 0.12; p < 0.01), and gender (r = 0.15; p < 0.01). An explanatory model including these variables was tested, and obtained a significant model fit (GFI = 0.99; Comparative Fit-Index = 0.99; Tucker Lewis Index = 0.97; Root Mean Square Residual = 0.02; RMSEA = 0.02 | CI = 0 .01–0.07 |). Were also observed indirect effects for exposure to antisocial online content through Twitter use and Facebook use on trolling (λ = 0.03; CI = 0.01–0.05; p < 0.05). It is possible to conclude that the research objectives were fulfilled, emphasizing the role of situational variables in the understanding of online trolling.

Testing the Performance of Level-Specific Fit Evaluation in MCFA Models With Different Factor Structures Across Levels

A Monte Carlo study was conducted to compare the performance of a level-specific (LS) fit evaluation with that of a simultaneous (SI) fit evaluation in multilevel confirmatory factor analysis (MCFA) models. We extended previous studies by examining their performance under MCFA models with different factor structures across levels. In addition, various design factors and interaction effects between intraclass correlation (ICC) and misspecification type (MT) on their performance were considered. The simulation results demonstrate that the LS outperformed the SI in detecting model misspecification at the between-group level even in the MCFA model with different factor structures across levels. Especially, the performance of LS fit indices depended on the ICC, group size (GS), or MT. More specifically, the results are as follows. First, the performance of root mean square error of approximation (RMSEA) was more promising in detecting misspecified between-level models as GS or ICC increased. Second, the effect of ICC on the performance of comparative fit index (CFI) or Tucker–Lewis index (TLI) depended on the MT. Third, the performance of standardized root mean squared residual (SRMR) improved as ICC increased and this pattern was more clear in structure misspecification than in measurement misspecification. Finally, the summary and implications of the results are discussed.

Reliability, validity and internal consistency of social support and self-efficacy scales for physical activity in adolescents with 10 to 14 years of age

ABSTRACT Objective: To analyze the reliability, validity and internal consistency of the physical activity social support (SSS) and self-efficacy (SES) scales among adolescents aged 10–14 years. Methods: The reliability study included 171 adolescents (mean age=12.3±1.0 years, 59.6% female) and validity and consistency study with 1,107 (mean age=12.0±1.0 years, 52.7% female). The SSS had 15 items and the SES eight items. Reliability was determined by Spearman's correlation analysis (rho) and validity and internal consistency by factor analysis (exploratory — EFA and confirmatory — CFA) and the composite reliability (CR), respectively. Results: The reliability of SSS (father: rho=0.80; p<0.001 | mother: rho=0.76; p<0.001 | friends: rho=0.75; p<0.001) and SES (rho=0.72; p<0.001) were considered high. In the EFA, three factors were identified for the SSS (father, mother and friends — five items each) and one factor for SES (five items), confirmed in the CFA. Quality parameters of adjustment in the final models were satisfactory for SSS (chi-square=240.5 [p<0.001]; root mean square residual — RMR=0.05; root mean square error of approximation — RMSEA=0.04 [90%CI 0.04–0.05]; goodness of fit index — GFI=0.97; adjusted goodness of fit index — AGFI=0.96 and comparative fit index — CFI=0.97) and SES (chi-square=5.4 [p=0.07]; RMR=0.01; RMSEA=0.04 [90%CI 0.00–0.08]; GFI=0.99; AGFI=0.99 and CFI=0.97). Internal consistency was considered satisfactory for SSS (CR: father=0.79, mother=0.77, friends=0.78) and low for SES (CR=0.38). Conclusions: The scales showed satisfactory levels of reliability and of construct validity. However, only the SSS showed adequate levels of internal consistency.%

Validity and reliability of Psychiatric Nurse Self-Efficacy Scales: cross-sectional study

ObjectivesTo develop the Psychiatric Nurse Self-Efficacy Scales, and to examine their reliability and validity.DesignWe developed the Improved Self-Efficacy Scale (ISES) and Decreased Self-Efficacy Scale (DSES) using existing evidence. Statistical analysis was conducted on the data to test reliability and validity.SettingThe study’s setting was psychiatric facilities in three prefectures in Japan.ParticipantsData from 514 valid responses were extracted of the 786 responses by psychiatric nurses.Outcome measuresThe study measured the reliability and validity of the scales.ResultsThe ISES has two factors (‘Positive changes in the patient’ and ‘Prospect of continuing in psychiatric nursing’) and the DSES has three (‘Devaluation of own role as a psychiatric nurse’, ‘Decrease in nursing ability due to overload’ and ‘Difficulty in seeing any results in psychiatric nursing’). With regard to scale reliability, the Cronbach’s alpha coefficient was 0.634–0.845. With regard to scale validity, as the factorial validity of the ISES and DSES, for the ISES, χ2/df (110.625/37) ratio=2.990 (p<0.001), goodness-of-fit index (GFI)=0.962, adjusted GFI (AGFI)=0.932, comparative fit index (CFI)=0.967 and root mean square error of approximation (RMSEA)=0.062; for the DSES, χ2/df (101.982/37) ratio=2.756 (p<0.001), GFI=0.966, AGFI=0.940, CFI=0.943, RMSEA=0.059 and Akaike Information Criterion=159.982. The concurrent validity of the General Self-Efficacy Scale was r=0.149–0.446 (p<0.01) for ISES and r=−0.154 to −0.462 (p<0.01) for DSES, and the concurrent validity of the Stress Reaction Scale was r=−0.128 to 0.168 for ISES, r=0.214–0.398 for DSES (p<0.01).Statistical analyses showed the scales to be reliable and valid measures.ConclusionsThe ISES and DSES can accurately assess psychiatric nurses’ self-efficacy. Using these scales, it is possible to formulate programmes for improving psychiatric nurses’ feelings of self-efficacy.

Structural validity of the physical fitness test battery

Purpose: of the study was to examine the validity of the Army Combat Fitness Test tests on a sample of air defense personnel in the Ukrainian Ground Forces. Material and methods. The respondents to this study were 271 air defense servicemen of the ground forces aged 18 to 40 years (73 cadets of the Ivan Kozhedub Kharkiv National Air Force University and 198 military personnel). The structural validity was evaluated using a confirmatory factor analysis. Results. Compliance was achieved with the two-factor model obtained in the course of exploratory factor analysis, as evidenced by the following indixes: χ2 (8, Critical N = 465.29) = 10.43; χ2 / df = 1.303; Non-Normed Fit Index = 0.98; Normed Fit Index = 0.97; Root Mean Square Error of Approximation = 0.035 (90 Percent Confidence Interval for Root Mean Square Error of Approximation = (0.0; 0.088), Comparative Fit Index = 0.99. In addition, all factor loadings were statistically significant at the p < 0.01 level, that indicates that these two factors were well designed at every stage. Correlation between factors was weak, which confirms the discriminant validity of the test. The significant correlation found between the items and the overall test score confirmed the validity of the test. Conclusions. It was found that Army Combat Fitness Test is a suitable tool for evaluating the physical fitness condition of air defense personnel into the Ground Forces. The dilemmas about the possible use of Army Combat Fitness Test for all age groups of military personnel regardless of gender require further study.

Development of a Screening Tool for Common Mental Disorders Among General Hospital Inpatients in China

Background: Depression and anxiety disorders are common conditions among general hospital inpatients, but are believed to be under-recognized in China.Methods: A short, practical questionnaire termed the happiness index scale (HIS) was developed for screening co-morbid mental disorders in non-psychiatric clinical settings. The HIS was completed by 1,005 non-psychiatric inpatients in a general hospital in China. The reliability and validity of the HIS were then assessed.Results: The HIS comprised eight items which loaded onto four dimensions: (a) sleep quality; (b) suicidal tendency; (c) depression; and (d) anxiety. These dimensions explained 84.2% of the total variance. Confirmatory factor analysis showed reasonably good fit of the four-factor model (χ2/df = 1.27, p &lt; 0.001, goodness-of-fit index = 0.95, comparative fit index = 0.99, root-mean-square error of approximation = 0.008). The correlation coefficients between each item and the corresponding factor were all &gt; 0.5. Cronbach's α of the entire scale was 0.83, indicating good internal consistency. The area under the ROC curve was 0.95 compared with the original 31-item scale. Using the optimal cut-off score of HIS (mild happiness), the sensitivity and specificity were 0.933 and 0.882, respectively.Conclusions: The new HIS scale is a practical screening tool composed of eight items covering the four most common and important dimensions of mental disorder. The HIS exhibited good reliability and specificity. The HIS is potentially suitable for large-scale screening in busy non-psychiatric clinical settings in China. Further verification using larger samples is warranted.

The causal model of health literacy and health behavior for obesity prevention among primary school students in Bangkok, Thailand

Background: The aim of the study was to develop a research instrument to study the levels of health literacy for obesity prevention (HLFOP), as well as health behavior for obesity prevention (HBFOP). In addition, we investigated the causal model between health literacy and health behavior for obesity prevention among primary school students in Bangkok, Thailand. Methods: A cross-sectional study among 600 participants who were primary school students (aged 9-13 years) was conducted. The participants were selected from schools in all parts of Bangkok using multi-stage random sampling technique. The research instrument to assess HLFOP and HBFOP, constructed by the researchers, were utilized for data collection. Data were analyzed using descriptive statistics, exploratory and confirmatory factor analyses, and structural equation model through linear structural relationship. Results: We found that HBFOP was directly influenced by heath literacy in the category of Critical Literacy with an effect size of 0.65 (p < 0.01), and was indirectly influenced in the category of Basic Literacy and Interactive Literacy through Critical Literacy with effect sizes of 0.46 and 0.58 (p<0.01), respectively. The model was consistent with the empirical data, with Chi-Square=13.68, df=7, p=0.05721, RMSEA (root mean square error of approximation)= 0.040, SRMR (standardized root mean square residual)= 0.017 NFI (normal fit index)=0.99, GFI (goodness of fit index)=0.99, and AGFI (adjusted goodness of fit index)=0.97. Conclusions: HLFOP was influential on HBFOP in primary school students in the Bangkok Metropolis. The categories that were particularly influential were: 1) Basic Literacy: accessing health information skills; 2) Interactive Literacy: communication skills; and 3) Critical Literacy: media literacy and self-management skills.

Localization of Intuitive Eating Scale-2 and Its Application in Chinese Obese Patients with Primary Hypertension

Intuitive eating (IE) is largely considered to be engaging in behaviors consistent with eating in reaction to one’s physiological appetite and fullness signals instead of environmental stimuli and emotional cues. The Intuitive Eating Scale-2 (IES-2) was developed in order to assess the outlook and behaviors of eating on four subscales: unconditional permission to eat (UPE), eating because of physiological as opposed to emotional reasons (EPR), dependence on physiological hunger and satiety cues (RHSC), and body-food choice congruence (B-FCC). Obesity is a frequent comorbidity in Chinese patients with hypertension and nearly 3/4 of such patients have eating problems. The current study intended to validate the psychological measurement properties of the IES-2 Chinese Version (IES-2-Chi) in an obese population with hypertension. For the IES-2-Chi, Cronbach's ɑ = 0.947, split-half reliability was 0.850, the test-retest reliability was 0.889, chi-square/degree of freedom ratio (χ2/df) = 1.318, root mean square error approximation (RMSEA) = 0.040, root mean square residual (RMR) = 0.053, goodness-of-fit index (GFI) = 0.902, comparative fit index (CFI) = 0.982, Tucker-Lewis index (TLI) = 0.978, incremental fit index (IFI) = 0.983, and normal fit index (NFI) = 0.932. The secondary study objective was to evaluate IE levels of obese Chinese patients with hypertension. IE was correlated positively with self-efficacy, body image, and frequency of eating vegetables and fruits, but negatively with body mass index, hemoglobin, diastolic blood pressure, hematocrit, total cholesterol, low-density lipoprotein, and frequency of eating fast food.Conclusion: The current study demonstrates that the IES-2-Chi has good reliability and validity in obese patients with primary hypertension and can be used to evaluate IE levels of these patients. Based on the current study results, future studies may be designed to develop intervention strategies using IE to utilize its influential factors in obese patients with primary hypertension.

Influences of determined and estimated dendrometric variables on the precision of volumetric modelling

The use of independent variables in volumetric modelling is an important step in fitting models to represent tree or stand characteristics. The DBH measured at 1.3 m from the ground level and total tree height (Ht) are the most commonly used independent variables when modelling individual tree volumes. This work aimed to analyze the importance of independent variables in fitting and selecting volumetric equations. A total of 750 trees from an experiment with three Eucalyptus spp. clones planted in five spacings in the semi-arid region of Pernambuco were used. Four statistical procedures were applied to compare the equations: Adjusted Fit Index (AFI), Akaike information criterion (AIC), mean absolute percentage error (MAPE), and a completely random design having the real tree volume as control and the fit equations as treatments. The error measuring heights in the field (EH) was also analyzed. Four heights were evaluated: Ht, height estimated in the field (He) and heights adjusted (Ha) from hypsometric relationships using the DBH [Ha (a)] and D_1.7 [Ha (b)], which was the diameter most correlated with the volume. The result indicates that all 18 fitted models provided high precision volumetric equations which do not differ at the 5% significance level.