Tag: pubmed

Cancer. 2022 Feb 8. doi: 10.1002/cncr.34121. Online ahead of print.

ABSTRACT

BACKGROUND: Brain tumors are the leading cause of death from disease in children. Racial/ethnic minority children have poorer outcomes than White children; however, it is not clear whether this association is mediated by treatment received.

METHODS: Children (aged 0-19 years) diagnosed with brain tumors in the National Cancer Database (2004-2016) were identified. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) between race/ethnicity (Black, Hispanic, Asian/Pacific Islander, American Indian/Alaska Native, or White [reference]) and death. An inverse odds weighted mediation analysis was performed with treatment received as the mediator.

RESULTS: Among 22,469 cases, White children (69% of the sample) had significantly better overall 12.5-year survival (P < .01). Black children (13% of the sample) and Hispanic children (14% of the sample) had an increased risk of death overall and for glioblastoma and oligodendroglioma. Compared with Whites, Asian/Pacific Islander children had a higher risk of death from choroid plexus tumors and a lower risk of death from medulloblastoma. There were no statistically significant meditating effects by treatment received, although the estimate was borderline in Hispanic children (indirect HR, 1.08; 95% CI, 0.99-1.18). A treatment-independent association between race/ethnicity and death remained for Hispanic children (direct HR, 1.18; 95% CI, 1.04-1.33) and Black children (direct HR, 1.28; 95% CI, 1.13-1.45). If deaths in minorities had equaled those in White children, 5% fewer total deaths and 15% fewer minority deaths would have occurred.

CONCLUSIONS: Survival disparities exist in pediatric brain tumors and are largely independent of treatment received, but other mechanisms linked to race/ethnicity remain important.

PMID:35132615 | DOI:10.1002/cncr.34121

Zhonghua Liu Xing Bing Xue Za Zhi. 2022 Jan 10;43(1):134-138. doi: 10.3760/cma.j.cn112338-20210221-00132.

ABSTRACT

With the increasing demand to study the cause of complex diseases, mega cohort has gradually replaced the traditional small sample cohort and become the hotspot of epidemiological research. Follow-up is the essential step in a cohort study to obtain the information about the onset and death of diseases, migration or loss of follow-up of the cases. Its quality has a direct impact on the conclusions of cohort study. Therefore, it is necessary to develop a reasonable follow-up monitoring program for a mega cohort.In this paper, we summarized the contents and methods of the follow-up monitoring program in the mega cohorts at home and abroad, which aimed to provide suggestions for the new cohort and improve the follow-up program for the existing cohort.

PMID:35130665 | DOI:10.3760/cma.j.cn112338-20210221-00132

Zhonghua Liu Xing Bing Xue Za Zhi. 2022 Jan 10;43(1):78-84. doi: 10.3760/cma.j.cn112338-20210201-00083.

ABSTRACT

Objective: To investigate the detection types and aggregation of high-risk population of cardiovascular disease (CVD) in Jiangsu province and the related influencing factors to provide reference for the prevention and control of cardiovascular disease. Methods: A total of 120 211 participants were included in the investigation. Information was collected by questionnaire based survey, physical examination and biochemical tests. χ² test and multivariate logistic regression were used for statistical analysis. Results: The detection rate of CVD high risk was 25.03%. The detection rates were 19.01%, 4.85%, 3.18% and 5.31% for hypertension, dyslipidemia, cardiovascular history and WHO assessed risk ≥20% types, respectively. Male, rural, old age, low education level, low family income, drinking, waist circumference exceeding standard, overweight and obesity were risk factors of CVD (all P<0.01). The composition ratios of aggregation of 1, 2 and ≥3 high risk types of CVD were 74.01%, 22.91% and 3.08%, respectively. With the increase of aggregation types, the correlation strength increased with age, rural residents, education level and annual family income. Conclusion: Targeted measures should be carried out according to different influencing factors for the prevention and control of CVD in Jiangsu province in order to achieve the maximum prevention and control effect with the minimum cost.

PMID:35130656 | DOI:10.3760/cma.j.cn112338-20210201-00083

Zhonghua Liu Xing Bing Xue Za Zhi. 2022 Jan 10;43(1):118-122. doi: 10.3760/cma.j.cn112338-20210827-00687.

ABSTRACT

Due to the latent characteristics of HIV infection, exceptionality of HIV high-risk population, social discrimination and insufficient awareness of AIDS prevention, timely testing and diagnosis of HIV infection is still a challenge worldwide. Until recently, it is difficult to exactly understand the overall HIV epidemic only using routine surveillance data. Therefore, epidemiological and statistical modeling is widely used to address this issue. Almost at the same time when AIDS was firstly discovered firstly, scientists also began to study the methods for the estimation and prediction of HIV infection epidemic. This article summarizes the development of global and domestic HIV epidemic estimation for the further understanding of its current performance and methods applied to provide reference for the future work.

PMID:35130662 | DOI:10.3760/cma.j.cn112338-20210827-00687

Zhonghua Liu Xing Bing Xue Za Zhi. 2022 Jan 10;43(1):37-43. doi: 10.3760/cma.j.cn112338-20210702-00517.

ABSTRACT

Objective: To predict the number of deaths, standardized mortality and probability of premature mortality caused by malignant cancer in the context of risk factor control at different levels in China in 2030, and assess the possibility of achieving the target of reducing the probability of premature mortality of malignant cancer. Methods: According to the risk factor control standard for malignant cancer used both at home and abroad, the results of China from Global Burden of Disease Study 2015 were used to calculate the population attributable fraction of the risk factors. Based on the comparative risk assessment theory, the deaths of malignant cancer were classified as attributable deaths and un-attributable deaths. Proportional change model was used to predict risk factor exposure and un-attributable deaths of malignant cancer in the future, then the number of deaths, standardized mortality rate and probability of premature mortality of malignant cancer in 2030 was estimated. Data analyses were performed by using software R 3.6.1. Results: If the risk factor exposure level during 1990-2015 remains, the number of deaths, standardized mortality rate, and probability of premature mortality of malignant cancer would increase to 3.62 million, 153.96/100 000 and 8.92% by 2030, respectively. If the risk factor exposure control level meets the requirement, the probability of premature mortality from cancer in people aged 30-70 years would drop to 7.57% by 2030. Conclusions: The control of risk factor exposure will play an important role in reducing deaths, standardized mortality rate and probability of premature mortality of malignant cancer. But more efforts are needed to achieve the goals of Health China Action.

PMID:35130650 | DOI:10.3760/cma.j.cn112338-20210702-00517

Zhonghua Liu Xing Bing Xue Za Zhi. 2022 Jan 10;43(1):50-57. doi: 10.3760/cma.j.cn112338-20210407-00284.

ABSTRACT

Objective: To examine risk factors of simple obesity and their interaction in preschool children in China. Methods: A total of 63 292 preschool children aged 3-7 years selected by cluster random sampling in 9 cities of China, including Beijing, Harbin, Xi’an, Shanghai, Nanjing, Wuhan, Guangzhou, Fuzhou and Kunming, were investigated from June to November in 2016. Based on the BMI-for-age cut off points of overweight and obesity for Chinese children aged 2-18 years, a total of 1 522 obese children (1 006 boys and 516 girls) were screened. By population-based matched case-control design, a normal weight child was randomly selected to match with an obese child by sex, age (difference ≤6 months) and body height (difference ≤5 cm) from the survey area. Conditional logistic regression model was used to analyze association of risk factors with obesity and the interaction of risk factors. Results: ① Univariate conditional logistic regression model showed that 17 risk factors of simple obesity had statistical significance (P<0.001), including high birth weight, cesarean section, gestational diabetes, gestational hypertension, formula feeding in the first 6 months after birth, strong appetite, fast or slow eating speed, low intensity of outdoor activities, daily outdoor activity time <1 hour, daily screen viewing time < 1 hour or ≥2 hours, daily night sleep time <9 hours, mother overweight, father overweight, mother’s low educational level, father’s low educational level, non-nuclear family structure, and parents not being the primary caregivers of children. ②Multivariate conditional logistic regression model showed that 12 risk factors had statistical significance, including high birth weight (OR=1.83, 95%CI:1.29-2.61, P<0.001), cesarean section (OR=1.22, 95%CI:1.07-1.39, P=0.003), gestational diabetes (OR=4.57, 95%CI:2.13-9.79, P<0.001), mother’s low educational level (OR=1.52, 95%CI:1.11-2.07, P=0.008), single parent family (OR=4.79, 95%CI:1.44-15.88, P=0.010), mother overweight (OR=2.58, 95%CI:1.93-3.46, P<0.001), father overweight (OR=2.40, 95%CI:1.86-3.10, P<0.001), strong appetite (OR=7.78, 95%CI:5.38-11.27, P<0.001), fast eating speed (OR=6.59, 95%CI:4.86-8.94, P<0.001), daily outdoor activity time <1 hour (OR=1.42, 95%CI: 1.09-1.85, P=0.009), daily night sleep time <9 hours (OR=1.59, 95%CI: 1.13-2.23, P=0.007), daily screen viewing time ≥2 hours (OR=1.69, 95%CI:1.27-2.24, P<0.001). ③ Interaction of the four groups of risk factors had statistical significance, including interaction between mother overweight and father overweight (OR=5.53, 95%CI: 3.76-8.13, P<0.001), interaction between strong appetite and fast eating speed (OR=54.48, 95%CI: 32.95-90.06, P<0.001), interaction between low intensity of outdoor activity and daily outdoor activity time <1 hour (OR=2.12, 95%CI: 1.29-3.48, P=0.002), interaction between daily night sleep time <9 hours and daily screen viewing time ≥2 hours (OR=2.83, 95%CI: 1.71-4.68, P<0.001). Conclusions: This study identified 12 risk factors of childhood obesity, including high birth weight, cesarean section, gestational diabetes, mother’s low educational level, single parent family, mother overweight, father overweight, strong appetite, fast eating speed, daily short outdoor activity time, daily short night sleep time, daily long screen viewing time, and interaction of the four groups of risk factors had statistical significance, including strong interaction between mother overweight and father overweight, interaction between strong appetite and fast eating speed, interaction between low intensity of outdoor activity and daily short outdoor activity time, interaction between daily short night sleep time and daily long screen viewing time.

PMID:35130652 | DOI:10.3760/cma.j.cn112338-20210407-00284

Zhonghua Liu Xing Bing Xue Za Zhi. 2022 Jan 10;43(1):32-36. doi: 10.3760/cma.j.cn112338-20210915-00734.

ABSTRACT

Objective: To understand the epidemiological characteristics of HIV-infected adolescents outside school in China and provide reference to targeted prevention and control of HIV infection in this population. Methods: All the HIV-infected adolescents aged 15-17 years outside school reported during 2011-2019 were included this study. The information about their demographics, transmission routes and migration were collected from HIV/AIDS Comprehensive Response Information Management System. The χ² test was done for comparison among groups. The Joinpoint 4.9.0 software was applied to the annual percent change (APC) for time trends analysis using the Joinpoint regression model. The Excel 2019 and SPSS 22.0 software were used for data cleaning and statistical analysis. Results: A total of 4 919 HIV-infected adolescents aged 15-17 years outside school were reported accumulatively in China between 2011 and 2019, accounting for 63.4% (4 919/7 757) of total reported HIV-infected cases in this age group. Analysis on trend revealed that the new HIV infection diagnosis rate has become stable since 2016 (APC=2.5%, P=0.173) after the increase between 2011 and 2015 (APC=36.4%, P<0.001). The migration across provinces was discovered in 13.9% (684/4 919) of the HIV-infected adolescents outside school. Males, workers, and those diagnosed in detention centers or transmitted by injecting drugs or homosexual contacts accounted for a larger proportion in migrated cases compared with non-migrated cases. The adolescents outside school mainly got HIV infected by sexual contacts route, in which 66.5% (280/421) of the males were infected by homosexual contacts, while 97.8% (182/186) of the females were infected by heterosexual contacts in 2019. Conclusions: HIV-infected adolescents aged 15-17 years outside school were mainly infected by sexual contacts. However, adolescents outside school have low awareness of sexual health and high mobility, to whom close attention should be paid to improve their awareness of sexual health and to provide them with appropriate HIV infection prevention and treatment service.

PMID:35130649 | DOI:10.3760/cma.j.cn112338-20210915-00734

Zhonghua Liu Xing Bing Xue Za Zhi. 2022 Jan 10;43(1):14-21. doi: 10.3760/cma.j.cn112338-20210601-00443.

ABSTRACT

Objective: To analyze mortality and its trend of chronic respiratory diseases (CRD) in China from 1990 to 2019. Methods: Based on the provincial results of China from the 2019 Global Burden of Disease (GBD) study, the average annual percent change (AAPC) of standardized mortality rates of different CRDs were analyzed by using Joinpoint 4.8.0.1, and the age-standardized mortality rate of CRD was calculated by using the GBD 2019 world standard population. Based on the comparative risk assessment theory of GBD, the attributable deaths due to 12 CRD risk factors were estimated, including smoking, indoor air pollution, occupational gas exposure, particulates and smog exposure, environmental particulate pollution, low temperature, passive smoking, ozone pollution, occupational exposure to silica, occupational asthma, high body mass index, high temperature and occupational exposure to asbestos. Results: From 1990 to 2019, the number of deaths and standardized mortality of chronic obstructive pulmonary disease (COPD) showed a downward trend (P<0.001). The number of COPD deaths decreased from 1 244 000 (912 000 – 1 395 000) in 1990 to 1 037 000 (889 000 – 1 266 000) in 2019. AAPC=-0.9% (95%CI: -1.5% – -0.3%), P<0.001; The standardized mortality rate decreased from 217.9/100 000 (163.3/100 000 – 242.0/100 000) in 1990 to 65.2/100 000 (55.5/100 000 – 80.1/100 000) in 2019. AAPC= -4.2% (95%CI:-5.2% – -3.2%), P<0.001. The number of deaths from asthma decreased from 40 000 (30 000 – 58 000) in 1990 to 25 000 (20 000 – 31 000) in 2019. AAPC=-2.0% (95%CI: -2.6% – -1.4%), P<0.001; The standardized mortality rate of asthma decreased from 6.4/100 000 (4.7/100 000 – 9.5/100 000) in 1990 to 1.5/100 000 (1.2/100 000 – 1.9/100 000) in 2019. AAPC=-5.1% (95%CI: -5.8% – -4.4%), P<0.001. The number of pneumoconiosis deaths decreased from 11 000 (8 000 – 14 000) in 1990 to 10 000 (8 000 – 14 000) in 2019, AAPC=-0.2%(95%CI:-0.4% – 0.1%), P=0.200; The standardized mortality rate of pneumoconiosis decreased from 1.4/100 000 (1.0/100 000 – 1.7/100 000) in 1990 to 0.5/100 000 (0.4/100 000 – 0.7/100 000) in 2019. AAPC=-3.1% (95%CI: -3.4% – -2.8%), P<0.001. The number of deaths from pulmonary interstitial diseases and pulmonary sarcoidosis increased from 3 000 (3 000 – 6 000) in 1990 to 8 000 (6 000 – 10 000) in 2019, AAPC=3.5% (95%CI: 2.7% – 4.2%), P<0.001; The corresponding standardized mortality rate changed little from 1990 to 2019, and AAPC was not statistically significant.The age-standardized mortality rates of different CRDs were higher in men than those in women. In 1990 and 2019, the mortality rates of COPD, asthma, pneumoconiosis and interstitial pulmonary disease and pulmonary sarcoidosis increased with age. In 2019, the population attributable fractions (PAFs) for smoking, environmental particulate pollution, occupational gas exposure, particulate and smog exposure, low temperature exposure and passive smoking were 71.1% (68.0% – 74.3%), 24.7% (20.1% – 30.0%), 19.3% (13.0% – 25.4%), 15.7% (13.6% – 18.3%) and 8.8% (4.5% – 13.1%) respectively in men, and the PAFs for environmental particulate pollution, smoking, low temperature exposure, occupational gas exposure, particulate and smog exposure, and passive smoking were 24.1% (19.6% – 29.3%), 21.9% (18.7% – 25.2%), 16.4% (14.0% – 19.2%), 15.6% (10.2% – 21.1%) and 14.7% (7.9% – 21.3%) respectively in women. Conclusions: During 1990-2019, the overall death level of CRD decreased significantly in China, but it is still at high level in the world. Active prevention and control measures should be taken to reduce the death level caused by CRD.

PMID:35130647 | DOI:10.3760/cma.j.cn112338-20210601-00443

Zhonghua Liu Xing Bing Xue Za Zhi. 2022 Jan 10;43(1):22-31. doi: 10.3760/cma.j.cn112338-20210509-00380.

ABSTRACT

Objective: To analyze the prevalence and risk factors of self-reported cancer in adults in China in 2015. Methods: The data used in this study were from China Chronic Disease and Risk Factors Surveillance in 2015. The frequency and proportion of the classified variables were analyzed by descriptive statistics, the disordered classified variables were compared by χ² test, and the possible risk factors of cancer patients were screened by univariate and multivariate logistic regression analyses. Results: In 2015, there were 1 809 self-reported tumors patients in China, including 689 males (0.63%), 1 120 females (1.03%), 769 (0.71%) in the eastern region, 465 (0.43%) in the central region and 575 (0.53%) in the western region. The patients were mainly distributed in people aged 45- and 55- years old, being overweight or obese, living in eastern urban area, having low education level, being married, having low annual household income and being occupational population. The results of multivariate logistic regression showed that compared with the western region, the prevalence rate of cancer was higher in the eastern region (OR=1.05, 95%CI: 1.04-1.06), while lower in the central region (OR=0.94, 95%CI: 0.93-0.95); the risk for cancer in people with family history of malignancy was higher than that in people without family history of malignancy (OR=1.95, 95%CI:1.94-1.96) the risk for cancer in people with an annual household income of less than 10 000 yuan or between 10 000 and 50 000 yuan was higher than that in people with an annual household income of more than 50 000 yuan (<10 000 yuan: OR=1.59, 95%CI: 1.58-1.60; between 10 000 and 50 000 yuan: OR=1.27, 95%CI: 1.26-1.28); and the risk for cancer in people living urban areas was lower than that in people living in rural areas (OR=0.98, 95%CI: 0.97-0.99). In terms of personal behavior and diet, the risk for cancer in smokers was 1.25 times higher than that in non-smokers (OR=1.25, 95%CI: 1.24-1.26), and the risk for cancer in alcoholics was 1.16 times higher than that in non-alcoholics (OR=1.16, 95%CI: 1.15-1.17), the risk for cancer in people with insufficient vegetable and fruit intakes was 1.29 times and 1.03 times higher than those in people with sufficient intakes of vegetables and fruits, respectively (OR=1.29, 95%CI: 1.28-1.30;OR=1.03,95%CI: 1.02-1.04). People with low frequency of high-intensity exercise had a higher risk for cancer compared with those with high frequency of high-intensity exercise (OR=1.32, 95%CI: 1.31-1.33), the risk for cancer was higher in people with low frequency of moderate exercise than in people with high frequency of moderate exercise (OR=1.08, 95%CI: 1.07-1.09). The risk for cancer in people with sedentary time less than 2 hours was higher than that in those with sedentary time more than 2 hours (OR=1.69, 95%CI: 1.68-1.70), and the risk for cancer in people who ate moderate amount of red meat was lower than that in people who ate excessive amount of red meat (OR=0.86, 95%CI: 0.85-0.87). Conclusions: The number of female self-reported cancer was more than that in males, and the number of self-reported cancer in the eastern region was higher than that in the central and western regions. Living in eastern region, with family history of malignancy, having low annual household income, smoking, drinking, insufficient vegetable intake, insufficient fruit intake and low frequency of high-intensity exercise and low frequency of moderate intensity exercise were the main risk factors for cancer, while living in central region, living in urban area and low red meat intake were protective factors.

PMID:35130648 | DOI:10.3760/cma.j.cn112338-20210509-00380

Zhongguo Gu Shang. 2022 Jan 25;35(1):54-8. doi: 10.12200/j.issn.1003-0034.2022.01.011.

ABSTRACT

OBJECTIVE: To investigate the effect of tibial coronal curvature on the alignment of tibial prosthesis in patients undergoing total knee arthroplasty (TKA).

METHODS: From July 2019 to April 2021, 100 patients with knee osteoarthritis were treated with total knee arthroplasty. Before operation, the full-length films of lower limbs were taken and the tibial bowing angle(TBA) was measured. TBA more than 2° was tibial bending, which was divided into tibial bending group and non bending group. There were 40 cases in tibial bending group, 9 males and 31 females, aged 56 to 84 years old with an average of (69.22±7.10) years. There were 60 cases in the non bending group, 19 males and 41 females, aged from 51 to 87 years old with an average of (70.80±7.21) years. The preoperative tibial length (TL) and medial proximal tibial angle (MPTA) were measured and compared between the two groups. The full-length X-rays of the lower limbs were taken again 3 days to 1 week after operation. The medial angle of the tibial component coronal aligement angle (TCCA) and the outilier rate of force line of the tibial prosthesis were measured and compared between the two groups. Pearson method was used to analyze the correlation between TCCA and age, TCCA and height, TCCA and weight, TCCA and BMI, TCCA and TBA, TCCA and TL, TCCA and MPTA; Spearman method was used to analyze the correlation between TCCA and gender, TCCA and Kellgren-Lawrence(K-L) grade.

RESULTS: All 100 patients successfully completed the operation and obtained satisfactory full-length X-rays in standing position. There was no significant difference in TL, MPTA and TCCA between bending group and non bending group(P>0.05). The outilier rate of force line in tibial bending group was 22.5%, and that in non bending group was 6.67%, the difference was statistically significant(P<0.05). The correlation study found that TCCA was strongly correlated with TBA(r=-0.702, P<0.01), weakly correlated with MPTA(r=0.311, P<0.01), and had no correlation with other parameters(P>0.05).

CONCLUSION: In patients with knee osteoarthritis undergoing total knee arthroplasty, tibial bending will lead to poor force line of tibial prosthesis. During operation, attention should be paid to osteotomy of proximal tibial vertical tibial mechanical axis and correct installation of prosthesis to avoid poor alignment of prosthesis.

PMID:35130600 | DOI:10.12200/j.issn.1003-0034.2022.01.011