• 제목/요약/키워드: Health statistics

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학생 건강에 대한 OECD와 한국의 통계지표 (The Statistical Indicators of OECD and Korea for Student Health)

  • 신선미
    • 한국학교보건학회지
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    • 제25권1호
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    • pp.105-113
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    • 2012
  • Purpose: The purpose of this study was to identify the statistical indicators of OECD and Korea for student health among Korea's approval statistics. Methods: Searching for health indicators by using Health at a Glance 2009, Society at a Glance 2009, and Education at a Glance 2009 through the formal OECD web site in 2010, and investigating the approval statistics through the Korean formal organizational web sites and published data in 2012. Results: Among OECD indicators, indicators for adolescent health were smoking and alcohol consumption, nutrition, physical activity, overweight and obesity, bullying, risk behaviors, and poverty children. However, most of Korea student health indicators were missing except poverty children and life satisfaction, because OECD has taken chiefly data from Health Behavior in School-aged Children survey (HBSC), international study, which has not been carried out in Korea. The Ministry Of Education, Science And Technology (MEST) and the Ministry of Health and Welfare, and National Youth Policy Institute in Korea have produced the major statistics for student health which was only 11 (1.3%) among 858 approval statistics. Conclusion: Identifying a current Korea school health is essential through participating actively to OECD whose statistic indicators are internationally comparable with Students Physical Development Survey, MEST's approval statistics, using Korea Student Health Examination. It was also suggested that quantitative and qualitative expansions for Korea student health statistics by the activation of approval statistics including processed statistics, and by researchers' easy expanded access to a raw data.

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RPSA Gene Mutants Associated with Risk of Colorectal Cancer among the Chinese Population

  • Zhang, Shan-Chun;Jin, Wen;Liu, Hui;Jin, Ming-Juan;Chen, Ze-Xin;Ding, Zhe-Yuan;Zheng, Shuang-Shuang;Wang, Li-Juan;Yu, Yun-Xian;Chen, Kun
    • Asian Pacific Journal of Cancer Prevention
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    • 제14권12호
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    • pp.7127-7131
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    • 2013
  • The primary aim of this study was to evaluate the relationship of single nucleotide polymorphisms (SNPs) in ribosomal protein SA (RPSA) gene with colorectal cancer (CRC). A case-control study including 388 controls and 387 patients with CRC was conducted in a Chinese population. Information about socio-demography and living behavior factors was collected by a structured questionnaire. Three SNPs (rs2133579, rs2269349, rs7641291) in RPSA gene were genotyped by Illumina SnapShot method. Multiple logistic regression models were used for assessing the joint effects between tea consumption and SNPs on CRC. The subjects with rs2269349 CC genotype had a decreased risk for CRC (OR=0.60; 95%CI = 0.37-0.99), compared with TT/CT genotype after adjustment for covariates. A similar association of rs2269349 with rectal cancer was observed (OR=0.49; 95%CI=0.24-1.00). Further analyses indicated that this SNP could modify the protective effect of tea drinking on CRC. Among the subjects with rs2269349 TT/CT or rs2133579 AA/GA, there was a marginal significantly lower risk of CRC (OR and 95%CI: 0.63 and 0.39-1.01 for rs2269349; 0.64 and 0.40-1.02 for rs2133579) in tea-drinking subjects in comparison to non-tea-drinking subjects. Mutants in the RPSA gene might be associated with genetic susceptibility to CRC and influence the protective effect of tea consumption in the Chinese population.

Prognostic Significance of Interactions Between ER Alpha and ER Beta and Lymph Node Status in Breast Cancer Cases

  • Han, Shu-Jing;Guo, Qing-Qing;Wang, Ting;Wang, You-Xin;Zhang, Yu-Xiang;Liu, Fen;Luo, Yan-Xia;Zhang, Jie;Wang, You-Li;Yan, Yu-Xiang;Peng, Xiao-Xia;Ling, Rui;He, Yan
    • Asian Pacific Journal of Cancer Prevention
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    • 제14권10호
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    • pp.6081-6084
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    • 2013
  • Objective: Both estrogen receptors, ER alpha ($ER{\alpha}$) and ER beta ($ER{\beta}$), are expressed in 50-70% of breast cancer cases. The role of $ER{\alpha}$ as a prognostic marker in breast cancer has been well established as its expression is negative correlated with tumor size and lymph node metastasis. $ER{\beta}$ is also a favorable prognostic predictor although this is less well documented than for $ER{\alpha}$. Materials and Methods: To explore whether ERs independently or together might influence clinical outcome in breast cancer, the correlation between the ERs with the clinicopathological features was analyzed in 84 patients. Results: $ER{\alpha}$ expression negatively correlated with tumor stage (r=-0.246, p=0.028) and tended to be negatively correlated with lymph node status (r=-0.156, p=0.168) and tumor size (r=-0.246, p=0.099). Also, $ER{\beta}$ was negatively correlated with nodal status (r=-0.243, p=0.028), as was coexpression of $ER{\alpha}$ and $ER{\beta}$ (p=0.043, OR=0.194, 95% CI= 0.040-0.953). Conclusion: Coexpression of ERs might serve as an indicator of good prognosis in breast cancer patients.

Prediction Models for Solitary Pulmonary Nodules Based on Curvelet Textural Features and Clinical Parameters

  • Wang, Jing-Jing;Wu, Hai-Feng;Sun, Tao;Li, Xia;Wang, Wei;Tao, Li-Xin;Huo, Da;Lv, Ping-Xin;He, Wen;Guo, Xiu-Hua
    • Asian Pacific Journal of Cancer Prevention
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    • 제14권10호
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    • pp.6019-6023
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    • 2013
  • Lung cancer, one of the leading causes of cancer-related deaths, usually appears as solitary pulmonary nodules (SPNs) which are hard to diagnose using the naked eye. In this paper, curvelet-based textural features and clinical parameters are used with three prediction models [a multilevel model, a least absolute shrinkage and selection operator (LASSO) regression method, and a support vector machine (SVM)] to improve the diagnosis of benign and malignant SPNs. Dimensionality reduction of the original curvelet-based textural features was achieved using principal component analysis. In addition, non-conditional logistical regression was used to find clinical predictors among demographic parameters and morphological features. The results showed that, combined with 11 clinical predictors, the accuracy rates using 12 principal components were higher than those using the original curvelet-based textural features. To evaluate the models, 10-fold cross validation and back substitution were applied. The results obtained, respectively, were 0.8549 and 0.9221 for the LASSO method, 0.9443 and 0.9831 for SVM, and 0.8722 and 0.9722 for the multilevel model. All in all, it was found that using curvelet-based textural features after dimensionality reduction and using clinical predictors, the highest accuracy rate was achieved with SVM. The method may be used as an auxiliary tool to differentiate between benign and malignant SPNs in CT images.

Clinical Risk Factor Analysis for Breast Cancer: 568,000 Subjects Undergoing Breast Cancer Screening in Beijing, 2009

  • Pan, Lei;Han, Li-Li;Tao, Li-Xin;Zhou, Tao;Li, Xia;Gao, Qi;Wu, Li-Juan;Luo, Yan-Xia;Ding, Hui;Guo, Xiu-Hua
    • Asian Pacific Journal of Cancer Prevention
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    • 제14권9호
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    • pp.5325-5329
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    • 2013
  • Objectives: Although there are many reports about the risk of breast cancer, few have reported clinical factors including history of breast-related or other diseases that affect the prevalence of breast cancer. This study explores these risk factors for breast cancer cases reported in Beijing in 2009. Materials and Methods: Data were derived from a Beijing breast cancer screening performed in 2009, of 568,000 women, from 16 districts of Beijing, all aged between 40 and 60 years. In this study, multilevel statistical modeling was used to identify clinical factors that affect the prevalence of breast cancer and to provide more reliable evidence for clinical diagnostics by using screening data. Results and Conclusion: Those women who had organ transplants, compared with those with none, were associated with breast cancer with an odds ratio (OR)=65.352 [95% confidence interval (CI): 8.488-503.165] and those with solid breast mass compared with none had OR=1.384 (95% CI: 1.022-1.873). Malignant tendency was strongly associated with increased risk of breast cancer, OR=207.999(95% CI: 151.950-284.721). The risk of breast cancer increased with age, $OR_1$=2.759 (95% CI: 1.837-4.144, 56-60 vs. 40-45), $OR_2$=2.047 (95% CI: 1.394-3.077, 51-55 vs. 40-45), $OR_3$=1.668 (95% CI: 1.145-2.431). Normal results of B ultrasonic examination show a lower risk among participants, OR= 0.136 (95% CI: 0.085-0.218). Those women with ductal papilloma compared with none were associated with breast cancer, OR=6.524 (95% CI: 1.871-22.746). Therefore, this study suggests that clinical doctors should pay attention to these high-risk factors.

Influencing Factors of High PTSD Among Medical Staff During COVID-19: Evidences From Both Meta-analysis and Subgroup Analysis

  • Qi, Guojia;Yuan, Ping;Qi, Miao;Hu, Xiuli;Shi, Shangpeng;Shi, Xiuquan
    • Safety and Health at Work
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    • 제13권3호
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    • pp.269-278
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    • 2022
  • Background: PTSD (Post-traumatic stress disorder, PTSD) had a great impact on health care workers during the COVID-19 (Corona Virus Disease 2019, COVID-19). Better knowledge of the prevalence of PTSD and its risk factors is a major public health problem. This study was conducted to assess the prevalence and important risk factors of PTSD among medical staff during the COVID-19. Methods: The databases were searched for studies published during the COVID-19, and a PRISMA (preferred reporting items for systematic review and meta-analysis) compliant systematic review (PROSPERO-CRD 42021278970) was carried out to identify articles from multiple databases reporting the prevalence of PTSD outcomes among medical staff. Proportion random effect analysis, I2 statistic, quality assessment, subgroup analysis, and sensitivity analysis were carried out. Results: A total of 28 cross-sectional studies and the PTSD results of doctors and nurses were summarized from 14 and 27 studies: the prevalences were 31% (95% CI [confidence interval, CI]: 21%-40%) and 38% (95% CI: 30%-45%) in doctors and nurses, respectively. The results also showed seven risks (p < 0.05): long working hours, isolation wards, COVID-19 symptoms, nurses, women, fear of infection, and pre-existing mental illness. Two factors were of borderline significance: higher professional titles and married. Conclusion: Health care workers have a higher prevalence of PTSD during COVID-19. Health departments should provide targeted preventive measures for medical staff away from PTSD.

Visualization and interpretation of cancer data using linked micromap plots

  • Park, Se Jin;Ahn, Jeong Yong
    • Journal of the Korean Data and Information Science Society
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    • 제25권6호
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    • pp.1531-1538
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    • 2014
  • The causes of cancer are diverse, complex, and only partially understood. Many factors including health behaviors, socioeconomic environments and geographical locations can directly damage genes or combine with existing genetic faults within cells to cause cancerous mutations. Collecting the cancer data and reporting the statistics, therefore, are important to help identify health trends and establish normal health changes in geographical areas. In this article, we analyzed cancer data and demon-strated how spatial patterns of the age-standardized rate and health indicators can be examined visually and simultaneously using linked micromap plots. As a result of data analysis, the age-standardized rate has positive correlativity with thyroid and breast cancer, but the rate has negative correlativity with smoking and drinking. In addition, the regions with high age-standardized rate are located in southwest and the areas of high population density while the standardized mortality ratio is higher in southwest and northeast where there are lots of rural areas.

국내 2018년 의약품 소비량 및 판매액 통계 산출 및 국제 비교 (A Critical Evaluation and International Comparison of Pharmaceutical Consumption and Sales Statistics)

  • 김지혜;이다희;김수연;김동숙
    • 보건행정학회지
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    • 제30권3호
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    • pp.311-325
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    • 2020
  • Background: Health statistics of pharmaceutical use and expenditure are essential to make and implement evidence-based pharmaceutical policy. This study aims to demonstrate the methods and results of pharmaceutical consumption and sales in 2018 according to the sources and methods given by the Organization for Economic Cooperation and Development (OECD). Methods: The medication list contains 39,346 medicines both reimbursed and non-reimbursed by the National Health Insurance in 2018. We used the therapeutic categories based on Anatomic Therapeutic Chemical Classification of World Health Organization. This study analyzed National Health Insurance claims data and supply data generated from wholesalers to health care facilities. The indicators are defined daily dose (DDD), per 1,000 inhabitants per day and US$ per capita. Results: In South Korea, the number of medications to which DDD were assigned was 18,055 and it was 45.9% of the total number of medications on the list. The consumption in anti-infective for systemic use (J) and musculo-skeletal system (M) was higher than the mean consumption among the OECD countries. The pharmaceutical sales per person in Korea was also higher than the mean sales per person across the OECD countries. Conclusion: We sought to explain the methods to produce pharmaceutical consumption and sales statistics which we had submitted annually to OECD. Considering the characteristics of pharmaceutical statistics, a direct comparison should be approached with caution. Since the growth in pharmaceutical spending has greatly increased over the past decade, we need to monitor pharmaceutical consumption and expenditure consistently.

Boosting Cancer Survival in Nigeria: Self-management Strategies

  • Oluka, Obiageli Crystal;Shi, Yan-Yan;Nie, Shao-Fa;Sun, Yi
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권1호
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    • pp.335-341
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    • 2014
  • Cancer is a menace fast gaining momentum in Nigeria and other developing countries. It is an expensive disease requiring a major financial and human resources for prevention, diagnosis and treatment. With no national policy on cancer control in the conntry, incidence (111.7/100,000 population) and mortality (86.6/100,000) rates in Nigeria are spiraling beyond control. This literature search study was primarily aimed at providing recommendations on cost-effective strategies for development interventions to promote self-management for cancer survivors in Nigeria with a goal to improve quality of life and overall survival.

Factors Influencing the Adoption of Cloud Computing in Healthcare Organizations: A Systematic Review

  • Qiu, Hong;Shen, Beimin;Wang, Yuhao;Mei, Yu;Gu, Wenjie
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권12호
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    • pp.3960-3975
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    • 2022
  • To analyze and compare the most influencing factors on cloud computing adoption (CCA) in the healthcare organization, a systematic review and meta-analyses of studies was performed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and Cochrane collaboration recommendations. A search of PubMed, ScienceDirect, Springer, Wiley Online, and Taylor & Francis Online digital libraries (From inception to January 19, 2022) was performed. A total of 17 studies met the defined studies' inclusion and exclusion criteria. Statistical significance difference favoring most influencing factors on CCA were (MD 0.76, 95% CI -1.48 - 3.01, p <0.00001, I2 = 90%), (MD 1.40, 95% CI -4.76 - 7.55, p < 0.00007, I2 = 97%) (MD 0.17, 95% CI -2.69 - 3.03, p<0.00001, I2 = 96%) for technology vs. organizational, technology vs. environmental and business vs. human factors, respectively. Organizational and environmental factors had greater impacts on CCA compared with technological factors. Moreover, business factors were more influential than the human factors.