Bullying Victimization and Comorbid Patterns of PTSD and Depressive Symptoms in Adolescents: Random Intercept Latent Transition Analysis.

Many studies have examined post-traumatic stress disorder (PTSD) or depressive symptoms in adolescents under the background of school bullying, but not their comorbidities and changes over time. This study used random intercept latent transition analysis (RI-LTA) to examine the transitions in comorbid patterns of PTSD and depressive symptoms among 815 adolescents (45.0% boys; Mage-baseline = 13.69, SD = 1.60), who reported their symptoms in a 3-year longitudinal study. Three comorbid patterns were found: low symptoms, predominantly PTSD symptoms, and symptoms of comorbidity. Among these patterns, five trends were found through 3 years: stable low symptoms, stable PTSD symptoms, improving symptoms, worsening symptoms, and an inverted-U pattern. Age, time that parents spend with their child, being an only child, family income and experiencing relational bullying were predictors of these transitions. These suggest that patterns of PTSD and depressive symptoms are heterogeneous and may change over time since trauma events. Developing targeted interventions based on underlying factors through distinct patterns and transitions may help us better optimize and utilize intervention resources to alleviate symptoms from bullying victims.

School bullying victimization and post-traumatic stress symptoms in adolescents: the mediating roles of feelings of insecurity and self-disclosure.

BACKGROUND: Posttraumatic stress symptoms (PTSSs) is known to be a typical problem for school bullying victims. However, the underlying mechanism between school bullying victimization and PTSSs remains unknown. This study examined the mediating roles of feelings of insecurity and self-disclosure in the relationship between school bullying victimization and PTSSs in adolescents. METHODS: Self-report questionnaires were used to assess 5013 adolescents; 443 of them with school bullying experiences were selected to carry out this study. RESULTS: The results found that school bullying victimization was directly related to more PTSSs, indirectly associated with more PTSSs through feelings of insecurity, and through the path from feelings of insecurity to self-disclosure. However, school bullying victimization did not exert an indirect effect on PTSSs through one step effect of self-disclosure. CONCLUSIONS: These findings indicated that feelings of insecurity and self-disclosure mediated the relationship between school bullying victimization and PTSSs. The psychological service should reduce adolescents' feelings of insecurity and give them more chances to disclose their bullying experiences.

Event centrality and post-traumatic stress symptoms among college students during the COVID-19 pandemic: the roles of attention to negative information, catastrophizing, and rumination.

Background: The coronavirus disease 2019 (COVID-19) pandemic has affected college students' mental health and caused post-traumatic stress symptoms (PTSS). Event centrality is thought to play a key role in the development of PTSS, but it is not yet clear by what mechanism. Theoretically, event centrality may affect the retrieval of traumatic memories and further prompt post-traumatic cognitions to understand events, and so may in turn be associated with PTSS in college students. However, few empirical studies have examined the mediating role of post-traumatic cognitions in the relationship between event centrality and PTSS, especially among college students during the COVID-19 pandemic. Objectives: The objective of this study was to examine the mediating roles of post-traumatic cognitive factors (e.g. attention to negative information, catastrophizing, and rumination) in the relationship between event centrality and PTSS among college students during the COVID-19 pandemic. Methods: We recruited 1153 college students who completed the pandemic experiences scale, the centrality of event scale, the attention to positive and negative information scale, the cognitive emotion regulation questionnaire, and the PTSD Checklist for DSM-5 during the COVID-19 pandemic in May 2020. Results: In this sample of college students, event centrality directly predicted PTSS, and PTSS was also indirectly predicted by event centrality through attention to negative information, catastrophizing, and rumination. Conclusions: These findings support the existing literature on the relationship between event centrality, proposed cognitive variables, and PTSS, and shed light on the mechanisms underlying PTSS. Our findings also highlight the importance and applicability of targeted cognitive interventions for PTSS in college students during the COVID-19 pandemic. HIGHLIGHTS: The COVID-19 pandemic has caused post-traumatic stress symptoms among college students.Event centrality is a risk factor of post-traumatic stress symptoms among college students during the COVID-19 pandemic.Attention to negative information, catastrophizing and rumination mediate the relationship between event centrality and post-traumatic stress symptoms.

Antecedentes: La pandemia de enfermedad coronavirus 2019 (COVID-19) ha afectado la salud mental de los estudiantes universitarios y causado síntomas de estrés postraumático (PTSS por sus siglas en ingles). Se cree que la centralidad del evento juega un rol importante en el desarrollo de PTSS, pero aún no está claro por qué mecanismo. Teóricamente, la centralidad del evento podría afectar la recuperación de los recuerdos traumáticos y estimular cogniciones postraumáticas para comprender los eventos y así su vez, podría estar asociada con PTSS en estudiantes universitarios. Sin embargo, pocos estudios empíricos han examinado el rol mediador de las cogniciones postraumáticas en la relación entre centralidad del evento y PTSS, especialmente entre estudiantes universitarios durante la pandemia de COVID-19.Objetivos: El objetivo de este estudio fue examinar los roles mediadores de los factores cognitivos postraumáticos (ej.: atención a información negativa, catastrofización y rumiación) en la relación entre centralidad del evento y PTSS entre los estudiantes universitarios durante la pandemia de COVID 19. Método: Reclutamos 1.153 estudiantes universitarios que completaron la escala de experiencias pandémicas, la escala de centralidad del evento, la escala de atención a la información positiva y negativa, el cuestionario de regulación cognitiva de las emociones y la lista de chequeo de TEPT para el DSM-5 durante la pandemia de COVID-19 en mayo del 2020.Resultados: En esta muestra de estudiantes universitarios, la centralidad del evento predijo directamente PTSS, y PTSS fueron tambien predichos indirectamente tambien por la centralidad del evento través de la atención a la información negativa, catastrofización y rumiación.Conclusiones: Estos hallazgos apoyan la literatura existente en la relación entre centralidad del evento, las variables cognitivas propuestas y PTSS y arrojan luz sobre los mecanismos subyacentes a PTSS. Nuestros hallazgos destacan tambien la importancia y aplicabilidad de las intervenciones cognitivas dirigidas a los PTSS en estudiantes universitarios durante la pandemia de COVID-19.

Construction of an Assisted Model Based on Natural Language Processing for Automatic Early Diagnosis of Autoimmune Encephalitis.

INTRODUCTION: Early diagnosis and etiological treatment can effectively improve the prognosis of patients with autoimmune encephalitis (AE). However, anti-neuronal antibody tests which provide the definitive diagnosis require time and are not always abnormal. By using natural language processing (NLP) technology, our study proposes an assisted diagnostic method for early clinical diagnosis of AE and compares its sensitivity with that of previously established criteria. METHODS: Our model is based on the text classification model trained by the history of present illness (HPI) in electronic medical records (EMRs) that present a definite pathological diagnosis of AE or infectious encephalitis (IE). The definitive diagnosis of IE was based on the results of traditional etiological examinations. The definitive diagnosis of AE was based on the results of neuronal antibodies, and the diagnostic criteria of definite autoimmune limbic encephalitis proposed by Graus et al. used as the reference standard for antibody-negative AE. First, we automatically recognized and extracted symptoms for all HPI texts in EMRs by training a dataset of 552 cases. Second, four text classification models trained by a dataset of 199 cases were established for differential diagnosis of AE and IE based on a post-structuring text dataset of every HPI, which was completed using symptoms in English language after the process of normalization of synonyms. The optimal model was identified by evaluating and comparing the performance of the four models. Finally, combined with three typical symptoms and the results of standard paraclinical tests such as cerebrospinal fluid (CSF), magnetic resonance imaging (MRI), or electroencephalogram (EEG) proposed from Graus criteria, an assisted early diagnostic model for AE was established on the basis of the text classification model with the best performance. RESULTS: The comparison results for the four models applied to the independent testing dataset showed the naïve Bayesian classifier with bag of words achieved the best performance, with an area under the receiver operating characteristic curve of 0.85, accuracy of 84.5% (95% confidence interval [CI] 74.0-92.0%), sensitivity of 86.7% (95% CI 69.3-96.2%), and specificity of 82.9% (95% CI 67.9-92.8%), respectively. Compared with the diagnostic criteria proposed previously, the early diagnostic sensitivity for possible AE using the assisted diagnostic model based on the independent testing dataset was improved from 73.3% (95% CI 54.1-87.7%) to 86.7% (95% CI 69.3-96.2%). CONCLUSIONS: The assisted diagnostic model could effectively increase the early diagnostic sensitivity for AE compared to previous diagnostic criteria, assist physicians in establishing the diagnosis of AE automatically after inputting the HPI and the results of standard paraclinical tests according to their narrative habits for describing symptoms, avoiding misdiagnosis and allowing for prompt initiation of specific treatment.

A literature review of post-treatment survivorship interventions for colorectal cancer survivors and/or their caregivers.

OBJECTIVE: Colorectal cancer (CRC) survivors have reported a number of concerns and unmet needs after treatment completion. This paper aims to explore existing survivorship interventions after CRC treatment according to the American Cancer Society CRC Survivorship Care Guidelines, to identify study gaps, and provide valuable evidence directing future research. METHODS: Five electronic databases, including CINAHL, PsycINFO, Embase, PubMed, and Cochrane Library databases from 2005 to October 2020, were systematically searched to identify English or Chinese literature on CRC post-treatment survivorship interventions. Manual searching through the articles' references lists was also conducted. RESULTS: Thirty studies met the criteria, and focused on addressing issues in four CRC Survivorship Care Guidelines domains. Several issues for CRC surveillance programmes remain to be explored. Regarding the long-term physical and psychosocial effects of CRC treatment, we found mounting evidence for various interventions to solve ostomy issues and improve distress/depression/anxiety, strong evidence for exercise to improve fatigue, and limited evidence in addressing CRC patient sexual concerns. For health promotion, high-quality evidence was found for exercises to improve cardiopulmonary fitness, metabolism, tumour-related biomarkers, and short-term improvement in physical fitness and QOL. Emerging evidence was found for a survivorship care plan to improve patient perceptions of care coordination. CONCLUSIONS: Further refinements based on the existing evidence, and the development of comprehensive CRC survivorship care comprising multiple essential survivorship components, are required. Furthermore, considering both survivor and caregiver cancer survivorship needs, future research may optimise the care delivered, and help survivors and their families live better with cancer.

Exploring the Dynamics of Hemorrhagic Fever with Renal Syndrome Incidence in East China Through Seasonal Autoregressive Integrated Moving Average Models.

OBJECTIVE: The purpose of this study was to explore the dynamics of incidence of hemorrhagic fever with renal syndrome (HFRS) from 2000 to 2017 in Anqiu City, a city located in East China, and find the potential factors leading to the incidence of HFRS. METHODS: Monthly reported cases of HFRS and climatic data from 2000 to 2017 in the city were obtained. Seasonal autoregressive integrated moving average (SARIMA) models were used to fit the HFRS incidence and predict the epidemic trend in Anqiu City. Univariate and multivariate generalized additive models were fit to identify and characterize the association between the HFRS incidence and meteorological factors during the study period. RESULTS: Statistical analysis results indicate that the annualized average incidence at the town level ranged from 1.68 to 6.31 per 100,000 population among 14 towns in the city, and the western towns exhibit high endemic levels during the study periods. With high validity, the optimal SARIMA(0,1,1,)(0,1,1)12 model may be used to predict the HFRS incidence. Multivariate generalized additive model (GAM) results show that the HFRS incidence increases as sunshine time and humidity increases and decreases as precipitation increases. In addition, the HFRS incidence is associated with temperature, precipitation, atmospheric pressure, and wind speed. Those are identified as the key climatic factors contributing to the transmission of HFRS. CONCLUSION: This study provides evidence that the SARIMA models can be used to characterize the fluctuations in HFRS incidence. Our findings add to the knowledge of the role played by climate factors in HFRS transmission and can assist local health authorities in the development and refinement of a better strategy to prevent HFRS transmission.

Prediction for cardiovascular diseases based on laboratory data: An analysis of random forest model.

BACKGROUND: To establish a prediction model for cardiovascular diseases (CVD) in the general population based on random forests. METHODS: A retrospective study involving 498 subjects was conducted in Xi'an Medical University between 2011 and 2018. The random forest algorithm was used to screen out the variables that greatly affected the CVD prediction and to establish a prediction model. The important variables were included in the multifactorial logistic regression analysis. The area under the curve (AUC) was compared between logistic regression model and random forest model. RESULTS: The random forest model revealed the variables, including the age, body mass index (BMI), fasting blood glucose (FBG), diastolic blood pressure (DBP), triglyceride (TG), systolic blood pressure (SBP), total cholesterol (TC), waist circumference, and high-density lipoprotein-cholesterol (HDL-C), were more significant for CVD prediction; the AUC was 0.802 in CVD prediction. Multifactorial logistic regression analysis indicated that the risk factors for CVD included the age [odds ratio (OR): 1.14, 95% confidence intervals (CI): 1.10-1.17, P < .001], BMI (OR: 1.13, 95% CI: 1.06-1.20, P < .001), TG (OR: 1.11, 95% CI: 1.02-1.22, P = .023), and DBP (OR: 1.04, 95% CI: 1.02-1.06, P = .001); the AUC was 0.843 in CVD prediction. The established logistic regression prediction model was Logit P = Log[P/(1 - P)] = -11.47 + 0.13 × age + 0.12 × BMI + 0.11 × TG + 0.04 × DBP; P = 1/[1 + exp(-Logit P)]. People were prone to develop CVD at the time of P > .51. CONCLUSIONS: A prediction model for CVD is developed in the general population based on random forests, which provides a simple tool for the early prediction of CVD.

Assessing the proxy response bias of EQ-5D-3 L in general population: a study based on a large-scale representative household health survey using propensity score matching.

BACKGROUND: Proxy respondent-someone who assists the intended respondent or responds on their behalf-are widely applied in the measurement of health-related quality of life (HRQL). However, proxies may not provide the same responses as the intended respondents, which may bias the findings. OBJECTIVES: To determine whether the use of proxies is related to socio-demographic characteristics of the intended respondent, and to assess the possible proxy response bias of Chinese version of EQ-5D-3 L in general population. METHODS: A cross-sectional study based on a provincially representative sample from 2013 National Health Service Survey (NHSS) in Shaanxi, China was performed. HRQL was measured by Chinese version of EQ-5D-3 L. Propensity score matching (PSM) was used to get matched pairs of self-reports and proxy-reports. Before and after PSM, univariate logistic and linear models including the indicator of proxy response as the only independent variable, were employed to assess the possible proxy response bias of the dimensional and overall health status of EQ-5D-3 L respectively. RESULTS: 19.9% of the responses involved a proxy. Before PSM, the proxy-report group was younger in age and reported less unhealthy lifestyle, lower prevalence of disease, and less hospitalization than the self-report group. After PSM, it showed that the proxy-report group was statistically more likely to report health problem on each dimension of EQ-5D-3 L, with odds ratios larger than one comparing with self-report group. The means of EQ-5D-3 L index and EQ VAS of proxy-report group were 0.022 and 0.834 lower than self-report group. CONCLUSIONS: Significantly negative proxy response bias was found in Chinese EQ-5D-3 L in general population, and the magnitude of the bias was larger in physical dimensions than psychological dimensions after using PSM to control confounders.

Visual acuity of young men in China: Results from 3 national cross-sectional surveys from 1974 to 2012.

The prevalence of low vision has increased in China especially among youth population, which is an important public health issue. The trend on the prevalence of subnormal visual acuity and updated information is essential to quantify health effects and to prompt decision makers to prioritize action and assess the effectiveness of measures. Therefore, the study aimed to analyze the prevalence and geographical distribution of visual acuity level among young men in China based on 3 national cross-sectional surveys from 1974 to 2012.The data on visual acuity of young men were collected from 3 national surveys among military recruit youth conducted in 1974, 2001, and 2012 by using a stratified cluster sampling method in China. The prevalence of visual acuity among military recruit youth during this period was analyzed by region, year, age, and economic level.A total of 139,929, 72,894, and 58,106 young men were included, covering all 31 provinces of mainland of China, from the 3 national surveys respectively. The prevalence of subnormal visual acuity had geographic diversity and increased significantly from 1974 to 2012 (P < .05). The visual acuity level was negatively correlated with the age (17-23 years) in 2012 (P < .05). Furthermore, the prevalence of subnormal visual acuity was positively correlated with the gross domestic product in 31 provinces of China (P ≤ .001).The prevalence of subnormal visual acuity increased with economic development among young men from 1974 to 2012, with distinct variation among geographic areas in China. Furthermore, subnormal visual acuity was increasingly prevalent with age and warrant public health attention.

Supportive care needs and associated factors among Chinese cancer survivors: a cross-sectional study.

PURPOSE: To investigate the unmet supportive care needs (SCNs) of Chinese cancer survivors and to identify factors associated with the unmet SCNs of cancer survivors. METHODS: A cross-sectional survey of Chinese cancer survivors was conducted using validated scales of the Cancer Survivors Unmet Needs scale (CaSUN), physical symptom concerns (Cancer Survivors Survey of Needs-CSSN subscale), and a single-item measure of global quality of life (QoL) perception. RESULTS: There were 330 participants, with a mean score of 7.1 (0-10) in overall QoL. The reported rate of the 19 symptom concerns ranged from 19.4 to 72.2%. The level of unmet SCNs (moderate and strong need) ranged from 12.1 to 59.1%. The top five unmet needs included concerns about the cancer re-occurring (59.1%), accessing the best medical care (52.7%), accessing complementary therapy services (51.5%), changes to beliefs (48.2%), and survivor expectations (47.6%). The strength of unmet SCNs was negatively correlated with participant age (P < 0.05), average time since diagnosis (P < 0.05), and overall QoL (P < 0.01) and positively correlated with all symptom concerns (all P < 0.001). CONCLUSIONS: Study findings call attention to cancer survivors' unmet SCNs and related factors. Underscored areas in developing survivorship care included paying special attention to existential survivorship, empowering survivor management of chronic symptoms, particularly for younger survivors, as well as for survivors with poor QoL, and those with a shorter time since diagnosis. This tailored survivorship care should be developed and delivered by a multidisciplinary team to support cancer services, with a greater capacity to deliver individualized, unmet SCN-driven care to survivors.

Factors moderating the mutual impact of benefit finding between Chinese patients with cancer and their family caregivers: A cross-sectional study.

OBJECTIVE: With growing recognitions of the significance of benefit finding (BF) in cancer practice, research has increased to explore factors that may influence BF in the cancer context. Few studies have focused explicitly on factors influencing BF from the dyadic perspective of cancer patient (CP)-family caregiver (FC) dyads. The objectives of the study were to examine BF relationship between CPs and FCs and to investigate factors that may modify the BF relationships between CPs and FCs. METHODS: Participants consisted of 772 dyads of CPs and FCs. Three types of variables were collected as potential modifying factors, including CP-related variables, FC-related variables, and psychological-related variables. Descriptive statistics, T test, Pearson correlations, and subgroup analysis were applied to conduct the data analysis. RESULTS: Cancer patients and FCs experienced similar moderate to high BF ranging from 65% to 81%, with the exception of acceptance, in that CPs had higher levels of acceptance than did FCs (P < .05). Various factors modifying the BF relationships between CPs and FCs were identified, including dyads' gender, marital status, education level, employment status, level of being informed about the disease, and cancer type and treatment, anxiety, depression, and self-efficacy. CONCLUSIONS: Study findings call attention to the BF, as well as related factors, from the dyadic perspective of CP-FC dyads. Health care professionals need to include FCs of the CPs in their care and provide them with support, to encourage the CP-FC dyads to share their experience and improve BF together, and to develop a dyadic-based intervention program to help enhancing dyads BF.

Assessment of a block curriculum design on medical postgraduates' perception towards biostatistics: a cohort study.

BACKGROUND: Biostatistics is a key but challenging subject in medical curricula that is usually delivered via a didactic approach in China. However, whether it is the best teaching approach to improve the learner's competency, especially for medical postgraduates is yet to be proved. Therefore, a block curriculum design was initially developed to provide selective education to the postgraduates towards the professional career of their interest. A questionnaire was designed to assess the students' perceptions toward biostatistics as these affective factors might impact the learning process. Thus, the present study aimed to detect whether the new block curriculum design could promote the students' positive perceptions and further improve the course achievement. METHODS: This cohort study investigated and assessed the perceptions toward biostatistics of the first-year postgraduates undergoing traditional teaching and block teaching, respectively. Structural equation modeling was applied to explore the association between perception and course achievement in the block teaching group. RESULTS: With a response rate of 97.84 and 96.67% from the two cohorts respectively, 499 block teaching postgraduates had more positive perceptions as compared to 465 traditionally teaching postgraduates with Likert 5-point agreement response mean of 3.50 vs. 3.31 for course value, 3.66 vs. 2.97 for course comment, and 4.29 vs. 4.10 for expectation. Moreover, block teaching students presented superior confidence about academic statistical knowledge, and therefore, 77.96% of them approved of the new teaching approach. Age, specialty, research experience, logical thinking capacity, mathematical basics, and computer basics might influence the postgraduates' self-assessment ability (all P < 0.05). Structural equation modeling confirmed a positive correlation between perceptions and the course achievements with a reasonable fit. CONCLUSIONS: The block curriculum design in the biostatistics course improved the postgraduates' positive perception and may have had a positive role in improving postgraduates' achievement in learning biostatistics.

Household income, income inequality, and health-related quality of life measured by the EQ-5D in Shaanxi, China: a cross-sectional study.

BACKGROUND: In advanced economies, economic factors have been found to be associated with many health outcomes, including health-related quality of life (HRQL), and people's health is affected more by income inequality than by absolute income. However, few studies have examined the association of income inequality and absolute income with HRQL in transitional economies using individual data. This paper focuses on the effects of county or district income inequality and absolute income on the HRQL measured by EQ-5D and the differences between rural and urban regions in Shaanxi province, China. METHODS: Data were collected from the 2008 National Health Service Survey conducted in Shaanxi, China. The EQ-5D index based on Japanese weights was employed as a health indicator. The income inequality was calculated on the basis of self-reported income. The special requirements for complex survey data analysis were considered in the bivariate analysis and linear regression models. RESULTS: The mean of the EQ-5D index was 94.6. The EQ-5D index of people with low income was lower than that in the high-income group (for people in the rural region: 93.2 v 96.1, P < 0.01; for people in the urban region: 95.5 v 96.8, P < 0.01). Compared with people with moderate inequality, the EQ-5D index of those with high inequality was relatively lower (for people living in the rural region: 91.1 v 95.8, P < 0.01; for people living in the urban region: 95.6 v 97.3, P < 0.01). Adjusted by age, gender, education, marital status, employment, medical insurance, and chronic disease, all the coefficients of the low-income group and high income inequality were significantly negative. After stratifying by income group, all the effects of high income inequality remained negative in both income groups. However, the coefficients of the models in the high income group were not statistically significant. CONCLUSION: Income inequality has damaging effects on HRQL in Shaanxi, China, especially for people with low income. In addition, people living in rural regions were more vulnerable to economic factors.

Construct validity of the 17-item Benefit Finding Scale in Chinese cancer patients and their family caregivers: a cross-sectional study.

PURPOSE: With increasing interest in, and growing recognition of, the importance of evaluating benefit finding (BF) in cancer practice, the construct validity of a majority of the instruments that claim to assess BF, however, requires further validation. The purpose of the present study is to evaluate the construct validity of the 17-item Benefit Finding Scale (BFS) in Chinese cancer patient-caregiver dyads and to evaluate the association between the BFS patients and the BFS caregivers. METHODS: There were 772 dyads of patients with cancer and their family caregivers who completed a survey assessing their demographic information and BF from November 2014 to December 2015. Both exploratory and confirmatory factor analysis was applied to evaluate the construct validity of the 17-item BFS. RESULTS: Dimensionality analysis confirmed a three-dimensional structure validity. The extracted three factors were personal growth, improved relationships, and acceptance. The overall and three subscales of BFS in both cancer patients and family caregivers had good internal consistency, with all of the Cronbach's α ≥0.819. Scores of the three subscales and overall scale between cancer patients and family caregivers were correlated to one another (r = 0.224-0.437, P < 0.001). CONCLUSIONS: This study provides the three-factor construct validity of the 17-item BFS when applied in the sample of Chinese patients with cancer and their family caregivers. The mutual impact of benefit finding between Chinese patients with cancer and their family caregivers highlights the importance that healthcare professionals need paying special attention to the BF on the dyadic level when supporting patients with cancer.

The Chinese version of hospital anxiety and depression scale: Psychometric properties in Chinese cancer patients and their family caregivers.

PURPOSE: The Hospital Anxiety and Depression Scale (HADS) acts as one of the most frequently used self-reported measures in cancer practice. The evidence for construct validity of HADS, however, remains inconclusive. The objective of this study is to evaluate the psychometric properties of the Chinese version HADS (C-HADS) in terms of construct validity, internal consistency reliability, and concurrent validity in dyads of Chinese cancer patients and their family caregivers. METHODS: This was a cross-sectional study, conducted in multiple centers: one hospital in each of the seven different administrative regions in China from October 2014 to May 2015. A total of 641 dyads, consisting of cancer patients and family caregivers, completed a survey assessing their demographic and background information, anxiety and depression using C-HADS, and quality of life (QOL) using Chinese version SF-12. Data analysis methods included descriptive statistics, confirmatory factor analysis (CFA), and Pearson correlations. RESULTS: Both the two-factor and one-factor models offered the best and adequate fit to the data in cancer patients and family caregivers respectively. The comparison of the two-factor and single-factor models supports the basic assumption of two-factor construct of C-HADS. The overall and two subscales of C-HADS in both cancer patients and family caregivers had good internal consistency and acceptable concurrent validity. CONCLUSIONS: The Chinese version of the HADS may be a reliable and valid screening tool, as indicated by its original two-factor structure. The finding supports the basic assumption of two-factor construct of HADS.

Body Mass Index of Young Men in China: Results From Four National Surveys Conducted Between 1955 and 2012.

To analyze the characteristics and trends of body mass index (BMI) among young men in China using data from a series of national surveys conducted between 1955 and 2012, and to provide evidence for policy making and disease control and prevention.BMI-related data were collected by routine medical examination from young men, most aged 18 to 20 years, in 4 national surveys (1955, 1974, 2001, and 2012) using a stratified cluster sampling method in 31 provinces, autonomous regions, and municipalities in China. The characteristics and trends of BMI during this period were analyzed by region, year, age, and economic level.Totals of 266,791, 118,092, 69,776, and 57,969 participants were included in the 4 national surveys, respectively. Between 1955 and 2012, height, weight, and BMI showed increasing trends in men aged 18 to 20 years at the national level and in each of the 6 areas of China. BMI also differed among geographical regions. Data from the 2012 national survey showed that age (17-22 years) was correlated positively with the prevalence of overweight and negatively with the prevalence of underweight (both P < 0.05). Gross domestic product was correlated negatively with the prevalence of underweight (r = -0.25) and positively with the prevalence of overweight and obesity (r = 0.45 and 0.240, respectively; all P < 0.001).BMI increased with economic development among young men from 1955 to 2012, with distinct variation among geographic areas in China. Although underweight remains prevalent in young men, especially in urban and northern regions, overweight and obesity are increasingly prevalent and warrant public health attention.

Hepatocellular carcinoma ≤ 4 cm treated with radiofrequency ablation with or without percutaneous ethanol injection.

BACKGROUND: To compare the survival of Chinese cirrhotic patients with hepatocellular carcinoma (HCC) ≤ 4 cm who underwent radiofrequency ablation (RFA) alone or a combination of RFA with percutaneous ethanol injection (PEI). MATERIAL AND METHODS: Retrospective analysis was performed for 681 cases with HCC ≤ 4 cm who were treated with RFA alone or RFA combined with PEI (RFA + PEI) between 2004 and 2011. RESULTS: As a result, 180 patients in each group were selected after propensity score matching (PSM). Higher overall survival (OS) and recurrence-free survival (RFS) rates were achieved by RFA + PEI compared with RFA alone (P = 0.019 and 0.009, respectively). The 1-, 3-, and 5-year cumulative OS rates were 78.0, 44.4, and 30.1% for patients in RFA group and 88.2, 58.0, and 41.1% for patients in RFA + PEI group, respectively. Besides, the 1-, 3-, and 5-year cumulative RFS rates were 77.0, 43.8, and 29.2% in RFA group, and 87.9, 57.6, and 38.4% in RFA + PEI group, respectively. The local recurrence, complete ablation and five-year mortality showed no distinct differences between RFA and RFA + PEI groups in three subgroups classified with tumor size. Moreover, Cox regression multivariate analysis results showed that sex and treatment approach were significantly related to OS, whereas sex, status of HBsAg, local recurrence, and number of tumor nodule were related to RFS. CONCLUSION: Therefore, the combination of RFA and PEI yielded better OS and RFS rates than RFA alone for Chinese patients with HCC ≤ 4 cm.

Physical activity level and associated factors among civil servants in Xi'an, China.

OBJECTIVES: This study investigated physical activity levels and associated factors among civil servants in Xi'an, China, to provide reference data for the implementation of health improvement strategies among civil servants. DESIGN: A cross-section study. METHODS: A random sample of 1000 civil servants aged 18-60 years and employed by the Xi'an civic government was assessed by using the Chinese version of the International Physical Activity Questionnaire. Associations between physical activity and sociodemographic characteristics, family history of chronic disease, and existing disease were evaluated by the Mann-Whitney U-test, Kruskal-Wallis H-test, and binary logistic regression. RESULTS: The response rate was 92.4%. The median physical activity score was 2227 metabolic equivalents of task (MET) minutes per week (interquartile range [IQR]: 1308-3802METmin/week). Among the 924 participants, 7.4% did not meet minimum recommendations for physical activity, 57.3% had moderate activity levels, and 35.4% had high activity levels. Participants spent most of their time on occupational activities (median: 869METmin/week, IQR: 228-1953METmin/week). Female sex (odds ratio [OR]:0.40, 95% confidence interval [CI]:0.29-0.55), age≥51 years (OR: 0.45, 95%CI: 0.27-0.75), and family history of chronic disease (OR: 0.67, 95%CI: 0.48-0.94) were associated with significantly lower odds of a high activity level. CONCLUSIONS: Most civil servants in Xi'an, China, have moderate activity levels. Some have high activity levels, but few engage in vigorous-intensity physical activity. Interventions to encourage a high level of physical activity are needed, especially for women, older civil servants, and those with family histories of chronic disease.

Betel quid chewing without tobacco: a meta-analysis of carcinogenic and precarcinogenic effects.

Betel quid without tobacco is an important factor influencing the incidences of oral cancer and precancer. This study systematically evaluated the associations between betel quid containing no tobacco and oral cancer and precancer, with implications for the prevention of oral cancer. We searched MEDLINE, ISI Web of Science, and EMBASE (to April 2011) and retrieved studies that investigated the relationship between chewing betel quid and oral cancer (or precancer). We performed a meta-analysis to summarize the published data and describe the prevalence of betel quid use with regard to cancerous diseases. In all, 19 eligible studies that reported odds ratios and 95% confidence intervals for oral cancer with respect to betel quid were included. The analysis identified an association suggesting that betel quid might be an important risk factor for oral cancer and precancer. The results of this review suggest that betel-chewing-cessation programs should be developed to help prevent oral diseases.

Investigation of data representation issues in computerizing clinical practice guidelines in china.

OBJECTIVES: From the point of view of clinical data representation, this study attempted to identify obstacles in translating clinical narrative guidelines into computer interpretable format and integrating the guidelines with data in Electronic Health Records in China. METHODS: Based on SAGE and K4CARE formulism, a Chinese clinical practice guideline for hypertension was modeled in Protégé by building an ontology that had three components: flowchart, node, and vMR. Meanwhile, data items imperative in Electronic Health Records for patients with hypertension were reviewed and compared with those from the ontology so as to identify conflicts and gaps between. RESULTS: A set of flowcharts was built. A flowchart comprises three kinds of node: State, Decision, and Act, each has a set of attributes, including data input/output that exports data items, which then were specified following ClinicalStatement of HL7 vMR. A total of 140 data items were extracted from the ontology. In modeling the guideline, some narratives were found too inexplicit to formulate, and encoding data was quite difficult. Additionally, it was found in the healthcare records that there were 8 data items left out, and 10 data items defined differently compared to the extracted data items. CONCLUSIONS: The obstacles in modeling a clinical guideline and integrating with data in Electronic Health Records include narrative ambiguity of the guideline, gaps and inconsistencies in representing some data items between the guideline and the patient' records, and unavailability of a unified medical coding system. Therefore, collaborations among various participants in developing guidelines and Electronic Health Record specifications is needed in China.