To develop a caregiver parenting behavior scale for children aged 2 to 6 years, and to verify its reliability and validity. This study recruited 1 350 caregivers of children aged 2 to 6 years. The item discrimination analysis and exploratory factor analysis were used to analyze the structure, dimensions and items of the scale. Homogeneity reliability, split-half reliability and test-retest reliability were used to analyze the reliability of the scale. Content validity and construct validity were used to analyze the validity of the scale. The results showed that the final scale contained 7 dimensions and 45 items. Cronbach's α coefficient of the total scale was 0.945; the coefficient of split half was 0.899; the test-retest reliability analysis showed that the correlation coefficients between the two tests were 0.893 (total score), 0.854 (social), 0.832 (language), 0.871 (gross motor), 0.893 (fine motor), 0.862 (cognitive), 0.832 (self-care), and 0.872 (sensory). The content validity analysis was carried out by two rounds of expert argumentation using Delphi expert consultation method. The Kendall coefficient of the items score in two rounds of Delphi expert consultation was 0.813 (P<0.01). The structure validity analysis showed that there were significant correlations between each dimension and the total scale, also between each dimension of the scale, and the extracted average variance values of each dimension was greater than the correlation coefficients between this dimension and other dimensions. In conclusion, the reliability and validity of the scale are qualified. It can be used as a tool to evaluate and guide the parenting behavior of caregivers of children aged 2 to 6 years.
Humans ; Child ; Caregivers/psychology* ; Reproducibility of Results ; Parenting ; Surveys and Questionnaires ; Factor Analysis, Statistical ; Psychometrics/methods*

OBJECTIVES: The development and validation of the specific health literacy assessment tool for older adults is the basis for conducting the research on health literacy among older adults. The existing health literacy assessment scale for older adults in Chinese mainland has some limitations, such as too many items and poor compliance during the survey. It is necessary to develop or introduce simplified assessment tools to support large-scale surveys in the future. This study aims to modify the brief health literacy assessment scale compiled by Taiwan scholars, and to conduct the test for the reliability, validity and the measurement equivalence across gender in the older population in mainland China. METHODS: From March to April 2021, 508 older adults from Jinan, Shandong Province, China were selected by cluster sampling method to conduct a questionnaire survey using the brief health literacy assessment scale and health-promoting lifestyle profile. After 4 weeks, 83 of them were selected for retesting. SPSS 25.0 statistical software was used for descriptive analysis, item analysis, exploratory factor analysis, correlation analysis, and reliability test, and Mplus 8.0 was used for confirmatory factor analysis and gender measurement equivalence test. RESULTS: Each item of the scale had good discrimination, and there were significant differences in the scores of each item between high score and low score groups (P<0.05), and the coefficient of correlation between the scores of each item and the total score was between 0.721 and 0.891. Exploratory factor analysis extracted a factor with a characteristic root greater than 1, and the cumulative variance interpretation amount was 67.94%. The confirmatory factor analysis showed that the single factor structure fit was good [χ2/df was 2.260, the Tucker-Lewis index was 0.973, the comparison fit index (CFI) was 0.982, and the root mean square error of approximation (RMSEA) was 0.071]. The multi-group confirmatory factor analysis results showed that the brief health literacy assessment scale's configural equivalence, weak equivalence, and strong equivalence models were all accepted. The comparison results of measurement equivalence models showed that the changes of RMSEA were less than 0.015, and the changes of CFI were less than 0.01, indicating that the brief health literacy assessment scale had measurement equivalence between different gender groups. Cronbach's α coefficient was 0.945, and the test-retest reliability was 0.946. The correlation coefficient between health literacy and health-promotion lifestyles was 0.557 (P<0.05). CONCLUSIONS The brief health literacy assessment scale has good reliability, validity, and measurement equivalence across gender, and can be used as an effective measurement tool for the health literacy of the older people in Chinese mainland.
Humans ; Aged ; Reproducibility of Results ; Health Literacy/methods* ; Psychometrics ; Surveys and Questionnaires ; Asian People ; China ; Factor Analysis, Statistical

Objective: To investigate the potential independent risk factors of body mass rebound following laparoscopic sleeve gastrectomy (LSG) and construct a nomogram prediction model based on these factors. Methods: In this retrospective observational study, patients with obesity who had undergone LSG at the Department of Gastrointestinal Surgery of the Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University between January 2015 and July 2017 were retrospectively enrolled. These patients were divided according to their status of postoperative body mass rebound. The inclusion criteria were patients aged between 16 and 65 years who had undergone LSG bariatric surgery with surgical indications according to the 2014 Chinese Guidelines for the Surgical Management of Obesity and Type 2 Diabetes Mellitus. The exclusion criteria were patients who had undergone other bariatric surgeries, who were taking weight-loss drugs or drugs that affected their body weight, who had severe gastroesophageal reflux and hiatal hernia, who were pregnant, who had incomplete clinical data, and who were lost to follow-up or were followed up for <3 years. In total, 241 patients with obesity (69 males and 172 females) who had undergone LSG surgery were enrolled. The mean age and body mass index (BMI) were (29.9±5.8) years and (40.8±4.8) kg/m², respectively. The patients were followed up till July 2022, with a focus on their body weight. Postoperative body mass rebound was defined as a percentage increase of ≥10% from the nadir body mass, which was the lowest body mass during the 3-year follow-up period. The body weight rebound following LSG and its influencing factors were observed, based on which a nomogram model was constructed and evaluated. The relationships between the patients' basic data, clinical indicators, preoperative hematological indicators, postoperative indicators, and body weight rebound following LSG were analyzed via univariate analysis. Independent risk factors were further screened by multivariate logistic regression analysis. Factors with a statistically significant difference were included into the nomogram prediction model. Moreover, the model was internally (modeling set) and externally (validation set, 80 baseline data-matched patients with obesity from our center) validated using receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA) via R software. ROC curve analysis was used to analyze the predictive and cutoff values of the measurement data for body mass rebound. Results: Overall, 90 patients (37.3%) exhibited postoperative body weight rebound, with the lowest BMI of (29.5±2.6) kg/m² and time to reach the lowest BMI of (15.4±2.3) months; 151 patients (62.7%) did not exhibit body weight rebound, with the lowest BMI of (29.8±2.3) kg/m² and time to reach the lowest BMI of (14.7±2.1) months. The results of univariate analysis showed that BMI, depression, anxiety, C-reactive protein (CRP) levels, systemic immune inflammatory index (SII), prognostic nutritional index (PNI), and albumin/fibrinogen ratio (AFR) were associated with body weight rebound following LSG with statistically significant differences (all P<0.05). The results of multivariate regression analyses suggested that depression [odds ration (OR) = 1.31, 95% confidence interval (CI): 1.08-1.62, P=0.010], preoperative CRP levels of ≥8 mg/L (OR = 1.34, 95% CI: 1.09-1.69, P=0.007), SII (OR = 0.58, 95% CI: 0.41-0.86, P=0.013), PNI (OR = 2.06, 95% CI: 1.03-4.21, P=0.007), and AFR (OR: 0.49, 95% CI: 0.33-0.69, P=0.011) were five independent risk factors for body mass rebound. A nomogram prediction model was constructed based on the multivariate analysis results. The scores of PNI, SII, AFR, CRP, and depression were 92.5, 100, 72.5, 25, and 27.5, respectively. The total score was calculated by adding the individual scores of each risk factor, which was used to calculate the probability of body mass rebound following LSG. The evaluation results of the nomogram model showed a C-index of 0.713 and 0.762, sensitivity of 0.656 and 0.594, and specificity of 0.715 and 0.909 in the modeling and validation sets, respectively. The calibration curve analysis and DCA indicated that the nomogram model has a good predictive value for body mass rebound after LSG. Conclusion: Preoperative depression, CRP of ≥8 mg/L, SII, PNI, and AFR were independent risk factors for body mass rebound following LSG. Hence, the nomogram prediction model based on these factors can effectively predict body mass rebound in patients undergoing LSG.
Adolescent ; Adult ; Aged ; Anti-Obesity Agents ; C-Reactive Protein ; Diabetes Mellitus, Type 2 ; Factor Analysis, Statistical ; Female ; Fibrinogen ; Gastrectomy/methods* ; Humans ; Laparoscopy/methods* ; Male ; Middle Aged ; Nomograms ; Obesity ; Retrospective Studies ; Risk Factors ; Weight Loss ; Young Adult

OBJECTIVE: To develop and test the health education knowledge assessment questionnaire for gout and to investigate the understanding degree of health education knowledge in patients with gout. METHODS: From June 2019 to June 2019, 150 cases of gout patients were enrolled.According to the literature review and the healthy education requirements of gout patients, the framework of education knowledge system was preliminarily formed.The pre-test questionnaire was obtained through two rounds of he Delphi technique.A survey of 150 patients with gout was carried out.The analysis and selection of the questionnaire were based on the coefficient of variation, the analysis of determination value, the correlation coefficient of the items and the total scores, and the exploratory factor analysis.In this study, we evaluated the reliability of internal consistency, semi-reliability.Validity test mainly included content validity and construct validity.In addition, a total of 150 patients with gout in our hospital and outpatient gout were selected to investigate the understanding degree of health education knowledge from June 2019 to December 2019. RESULTS: The significance of the first level index of the questionnaire was 3.83-5.00, the secondary index was 3.00-4.83, and the variation coefficient of each item was 0.31-1.23, and the critical ratio(CR) value of each item in this questionnaire was 3.168-8.333.The Pearson correlation coefficient of each item and the total score of this study was 0.319-0.544.After exploratory factor analysis, some topics were deleted in four dimensions, and there were 16 entries in the final questionnaire.Cronbach' s α coefficient of this questionnaire was 0.715, split-half reliability Spearman-Brown coefficient was 0.785, and retest reliability coefficient was 0.729. The correlation coefficient between each factor of this questionnaire and the total questionnaire was 0.300-0.701, and the correlation coefficient between each item of the questionnaire and each factor was 0.402-0.732, all P < 0.05. The results were statistically significant. By questionnaire investigation, the total score of questionnaire was (6.85±3.22), the score of disease-related knowledge was (2.03±1.24), the score of dietary guidance was (1.53± 1.06), the score of exercise guidance was (2.19±1.24), the score of medication guide was (1.24±1.22). CONCLUSION The Health Education Knowledge Assessment Questionnaire For Gout has a good reliability and validity for measuring related content, the compilation process is scientific and the content is comprehensive, which can be further applied in clinic.The understanding degree of health education knowledge is low in Chinese patients with gout, and knowledge of gout medicine is lacking especially.
Factor Analysis, Statistical ; Gout/diagnosis* ; Health Education ; Humans ; Psychometrics/methods* ; Reproducibility of Results ; Surveys and Questionnaires

To explore and revise the factor structure, reliability and validity of the Chinese version of the Driver Stress Inventory (DSI) in the driver population in first-tier city of China. In this study, the questionnaire method was used to select the data collected by the "Research on the Driving Stress of Urban Salaries in Urban Traffic" carried out by the Institute of Psychology, Chinese Academy of Sciences in 2012, and a third-party survey agency was commissioned to select 300 people in Beijing, Shanghai, and Guangzhou respectively. A total of 900 drivers (with 889 valid data scales) were used to test their driving stress and other indicators by using the DSI and the self-compiled travel and stress relief scale. The test content collects driver self-reported stress data from five dimensions: Aggression, Dislike of driving, Hazard-Monitoring, Fatigue Proneness and Thrill-seeking. The DSI questionnaire of 445 cardinal numbers was revised by item analysis methods such as correlation test and T-test, and exploratory factor analysis method based on principal component analysis and optimal skew axis method (Promax).The results of item analysis showed that the total correlation coefficient of 10 items of the 48 items of the original DSI scale was lower than 0.3, and the total correlation coefficient of 6 items was not significant (r=-0.078-0.079, P>0.05), and the high and low groups were independent. There were significant differences in the results of the sample t test (t=-16.642-0.091, P<0.001), the 16 items were deleted, and the remaining 32 items; exploratory factor analysis showed that KMO=0.938>0.900, and the Bartlett's sphericity test result was significant (χ²=6 361.974, df=496, P<0.001), suitable for exploratory factor analysis, the results showed that 2 items constituted independent factors, did not meet the relevant standards of psychometrics and were deleted, and finally retained 30 items, and the internal consistency coefficient of the new scale was better than the original one(α=0.932>0.877); Based on the results of exploratory factor analysis, the model fitting indexes of 444 even-numbered samples such as RMSEA, SRMR, CFI and TLI were verified by confirmatory factor analysis, and the results showed that the index of each index was good (χ²=1 250.447, RMSEA=0.070, SRMR=0.068, CFI=0.839, TLI=0.823); criterion validity analysis found that each factor of the revised scale was significantly correlated with situational anxiety (r=0.190-0.556, P<0.01). In conclusion, the DSI (Chinese version) has good reliability and validity, and can be used as an assessment tool for driver stress in China.
China ; Factor Analysis, Statistical ; Humans ; Psychometrics ; Reproducibility of Results ; Surveys and Questionnaires

Reduced rank regression is an extended multivariate linear regression model with the function of dimension reduction. It has been more and more widely used in nutritional epidemiology research to understand people's dietary patterns in recent years. However, there has been no existing Stata package or command to implement reduced rank regression independently. Therefore, we developed a new user-written package named "rrr" for its implementation in Stata. This paper summarizes the methodology of reduced rank regression, the development and functions of the Stata rrr package and its application in the China Kadoorie Biobank dataset, with the aim of facilitating the future wide use of this statistical method in epidemiology and public health research.
China ; Humans ; Models, Statistical ; Public Health ; Regression Analysis

Objective: To introduce and compare four analysis methods of multiple parallel mediation model, including pure regression method, method based on inverse probability weighting, extended natural effect model method and weight-based imputation strategies. Methods: For the multiple parallel mediation model, the simulation experiments of three scenarios were carried out to compare the performance of different methods in estimating direct and indirect effects in different situations. Dataset from UK Biobank was then analyzed by using the four methods. Results: The estimation biases of the regression method and the inverse probability weighting method were relatively small, followed by the extended natural effect model method, and the estimation results of the weight-based imputation strategies were quite different from the other three methods. Conclusions: Different multiple parallel mediation analysis methods have different application situations and their own advantages and disadvantages. The regression method is more suitable for continuous mediator, and the inverse probability weighting method is more suitable for binary mediator. The extended natural effect model method has better performances when the residuals of two parallel mediators are positively correlated and the correlation degree is small. The weight-based imputation strategies might not be appropriate for parallel mediation analysis. Therefore, appropriate methods should be selected according to the specific situation in practice.
Bias ; Computer Simulation ; Humans ; Mediation Analysis ; Models, Statistical ; Probability ; Regression Analysis ; Research Design

OBJECTIVES: Patients from different social environments and cultural backgrounds have different nursing needs. If nurses ignore the cultural differences of patients, it is easy to lead to the strained nurse-patient relationship, affect the nursing effect and cause harm to patients. Critical cultural competence (CCC) can help nurses to meet the nursing needs of patients from different cultural backgrounds, which is beneficial to building a harmonious nurse-patient relationship and improving the quality of nursing. Almutairi, et al designed the Critical Cultural Competence Scale (CCCS) which can be used to evaluate accurately nurses' CCC. No studies have reported the development of a critical cultural competence measurement tool for nurses or the introduction of foreign scales in China. This study aims to conduct Chinese and cross-cultural debugging and test the reliability of the English version of the CCCS in order to form CCCS suitable for Chinese cultural background and provide an effective evaluation tool for investigating the current situation of clinical nurses' CCC. METHODS: This study used Brislin's back-translation model to translate and back-translation the English version of CCCS. The Chinese version of CCCS was then created through cross-cultural debugging by expert consultation and a pre-survey with a sample size of 30 clinical nurses. From August to October 2019, 580 clinical nurses were surveyed using a whole group sampling method. The participants were randomly divided into 2 groups with a 7꞉3 ratio. One group (n=406) was used for exploratory factor analysis and reliability analysis, while the other group (n=174) was used for confirmatory factor analysis. Six experts used the scale-level content validity index (S-CVI) and the item-level content validity index (I-CVI) to assess content validity. In the exploratory factor analysis, items were screened using the critical ratio method, and were tested using the KMO (Kalser-Meyer-Olkin) index, Bartlett's sphericity test, and principal component analysis. In the confirmatory factor analysis, average variance extracted (AVE), goodness of fit index (GFI), adjusted goodness of fit index (AGFI), and root mean square error of approximation (RMSEA) were used to assess the degree of fit of the constructed model. For the total scale and the 4 subscales, the Cronbach's α coefficient, split-half reliability, and retest reliability were used to assess the scale's reliability. RESULTS: The S-CVI was 0.930, while the I-CVI ranged from 0.833 to 0.944. For all items, the critical ratio exceeded 3, and the difference between the high and low subgroups was statistically significant (P<0.05). Exploratory factor analysis revealed critical knowledge subscale had a KMO value of 0.676, with the total scale and other 3 subscales all having a KMO value >0.8 and a chi-square value of 814.32 to 12 442.45 for the Bartlett's spherical test, with degree of freedom ranging from 21 to 136 (P<0.001), indicating that all items were suitable for factor analysis. The principal component analysis showed that 17, 12, 7, and 7 items were extracted from the 4 subscales, with 4, 3, 2, and 2 components whose eigenvalues were more than 1, and the cumulative variance contribution was 66.0%, 54.3%, 56.6%, and 70.2%, respectively. The confirmatory factor analysis showed that the AVE of the 4 subscales were 0.637, 0.499, 0.560, and 0.565, GFI was 0.904, AGFI was 0.863, and RMSEA was 0.076. The Cronbach's α coefficient for the total scale and subscales ranged from 0.811 to 0.878, the split-half reliability ranged from 0.707 to 0.842, and the retest reliability was 0.827. CONCLUSIONS The Chinese version of the CCCS has good reliability and validity, and it can be used as a valid assessment tool for clinical nurses' critical cultural competence in China.
Humans ; Cultural Competency ; Reproducibility of Results ; Psychometrics/methods* ; Factor Analysis, Statistical ; China

BACKGROUND: Pretesting is the key to understanding how the intended audience will react to the message. Resistant reactions affect message processing or can lead to undesirable boomerang effects. The objective of this study was to develop a rating scale for measuring active (reactance) and passive (disengagement) resistance to persuasive health messages. METHODS: Six candidate items (3 items for disengagement and 3 items for reactance) were generated based on literature review. A web-based survey was conducted among Japanese adults aged 25-64 years to verify the reliability and validity of the 6-item resistance scale. Participants were asked to rate one of the advance care planning (ACP) promotion messages. All scale items were scored on a 1-to-5 point Likert scale and they were averaged to produce the resistance score. RESULTS: Explanatory factor analysis revealed a two-factor solution that agreed with the disengagement and reactance domains, respectively. Correlation coefficients between each set of items ranged between 0.30-0.69. Cronbach alpha (0.86) indicated satisfactory internal consistency of the set of items. Confirmatory factor analysis showed a good fit of the two-factor model with CFI = 0.998, SRMR = 0.011, and RMSEA = 0.041. The resistance score showed a moderate positive correlation with negative emotional responses (displeasure γ = 0.55, anger γ = 0.53) and was significantly inversely related to the persuasiveness score (γ = -0.50). Multivariable logistic regression analysis showed that the odds ratio for ACP intention per 1-point increase in the resistance score was 0.47 (95% confidence interval 0.40-0.56) with adjustment for the persuasiveness score. CONCLUSION: The 6-item resistance scale exhibited adequate reliability and validity for measuring audience resistance when applied to the ACP promotion messages in Japanese people. The scale will be useful for pretesting health messages to make them more acceptable to the intended audience. TRIAL REGISTRATION Not applicable; this is not a report of intervention trial.
Adult ; Factor Analysis, Statistical ; Humans ; Intention ; Middle Aged ; Persuasive Communication ; Psychometrics ; Reproducibility of Results ; Surveys and Questionnaires

OBJECTIVES: Adolescents are at high risk of non-suicidal self-injury (NSSI). Currently, there is no clinical assessment tool for adolescent NSSI behaviors measurement with global consistency. The Ottawa Self-injury Inventory (OSI) is considered as a relatively comprehensive assessment tool for NSSI, but the questionnaire is discussed with excessive content and timecostly, which may affect the reliability of the measurement results for adolescent.Thus, this study, based on OSI, aims to revise the assessment tool for adolescent with NSSI that is suitable for both clinically and scientifically, referring to the diagnostic criteria for NSSI in the 5th Diagnostic and Statistical Manual of Mental Disorder (DSM-5). METHODS: This study was led by the Second Xiangya Hospital of Central South University and collaborated with 6 mental health service institutions in China from August to December 2020. Adolescent aged from 12 to 24 years old who had self-injury behavior and met the DSM-5 diagnostic criteria for NSSI were continuously recruited in the psychiatric outpatient department or ward. After clinical diagnosis by an experienced attending psychiatrist or above, the general information and OSI were collected by questionnaires. SPSS 24.0 and AMOS structural equation model statistical softwares were used to conduct item analysis and exploratory factor analysis on the obtained data to complete the revision of the scale. Cronbach's alpha coefficient, split-half reliability, test-retest reliability, and content validity and structure validity were performed to analyze the reliability and validity and confirmatory factor analysis was carried out to test the structure validity for the revised scale. RESULTS: A total of 234 adolescent with NSSI were enrolled, including 33 (14.1%) males and 201 (85.9%) females with the mean age of (16.2±2.6) years old. The most common clinical diagnoses were depression disorder (57.4%), bipolar disorder (20.9%), adolescent mood disorder (17.1%), etc. Nine items (item 2, 7, 11, 13, 23, 24, 10, 17, 18) in the functional scale of OSI were deleted according to extreme grouping method, correlation analysis, and principal component analysis in exploratory factor analysis. The revised functional scale for NSSI consisted of 15 items. The reliability analysis showed that the Cronbach's alpha coefficients of NSSI thought and behavior frequency, addiction characteristics, and function scales were 0.799, 0.798, and 0.835, respectively, and the split-half coefficients were 0.714, 0.727, and 0.852, respectively. The test-retest coefficients of the latter 2 scales were 0.466 and 0.560, respectively. The correlation coefficient between sub-items and total scores in each part of the scale showed good content validity. The exploratory factor analysis showed that a component was extracted from the frequency of thoughts and behaviors of NSSI, one component was extracted from the addictive characteristics, and three components were extracted from the functional part. The three functional subscales were social influence, external emotion regulation, and internal emotion regulation. The factor load of each item was >0.400. CONCLUSIONS The revised Chinese version OSI targeted the adolescent patients with mental disorders has relatively ideal reliability and validity. The scale shows high stability, dependability, and a reasonable degree of fit. It is a suitable assessment tool for clinical and scientific research on adolescent with NSSI.
Adolescent ; Adult ; Child ; Factor Analysis, Statistical ; Female ; Humans ; Male ; Mental Disorders/diagnosis* ; Psychometrics/methods* ; Reproducibility of Results ; Self-Injurious Behavior/psychology* ; Surveys and Questionnaires ; Young Adult