As the United Nations announced Sustainable Development Goals (SDGs) in 2015, the world changed its development goals from focusing on efficiency to equity. As a result, in the health sector, universal health coverage (UHC) has become one of the main issues. This paper reviews and discusses on future direction and issue of official development assistance program for developing countries. Korea International Cooperation Agency under the Ministry of Foreign Affairs published on Korea International Cooperation Agency's mid-term health strategy 2016-2020 developed on participation program with stakeholder including governments, civil society partner organizations, and educational institutions. The SDGs expands non-communicable diseases, UHC, and global health security from the existing Millenium Development Goals health sector. Progress toward UHC underpins the achievement of all other targets under SDG Goal 3. Progress in reducing health inequality across the life course is drawing on overall data and from specific target. In order to achieve SDG 3, a multi-disciplinary approach, convergence between IT and u-health of this development, is desirable.
With the increase in the prevalence of overweight and obesity worldwide, early adiposity rebound, which is known to have a strong association with obesity, has recently been a focus of research. Early adiposity rebound is conventionally known to have a close relationship with non-communicable diseases. However, novel insights into early adiposity rebound have implied an acceleration of growth and puberty, which is directly reflected in the trends in the timing of adiposity rebound, in the 21st century compared with in the past. Furthermore, the observation that lean mass changes rather than fat mass changes show a more similar pattern to body mass index trajectories is interesting. In this article, the later outcomes and risk factors of early adiposity rebound are briefly summarized, and the current trends in the timing of adiposity rebound and novel insights into its relationship with body composition are reviewed.
Objectives: Work stress is associated with non-communicable diseases, increased healthcare costs, and decreased work productivity among employees in the information technology sector. There is a need for regular work-stress screening among employees using valid and reliable tools. The Tool to Assess and Classify Work Stress (TAWS-16) was developed to overcome limitations in existing stress assessment tools in India. This study aimed to test the reliability of TAWS-16 in a sample of managerial-supervisory employees. Methods: This observational reliability study included data from 62 employees. Test-retest and inter-method reliability were investigated using a TAWS-16 web application and interview by telephone, respectively. Kappa values and intra-class correlation coefficients were calculated. Internal consistency was assessed through Cronbach's alpha. Results: For both test-retest and inter-method reliability, the agreement for both work-related factors and symptoms suggestive of work stress exceeded 80%, and all kappa values were 0.40 or higher. Cronbach's alpha for test-retest and inter-method reliability was 0.983 and 0.941, respectively. Conclusions: TAWS-16 demonstrated acceptable reliability. It measured stressors, coping abilities, and psychosomatic symptoms associated with work stress. We recommend using TAWS-16 to holistically identify work stress among employees during periodical health check-ups in India.
Kim, Tae Eung;Lee, Ru-Gyeom;Park, So-Youn;Oh, In-Hwan
Journal of Preventive Medicine and Public Health
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v.55
no.1
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pp.19-27
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2022
This study estimated the direct and indirect socioeconomic costs of 238 diseases and 22 injuries from a social perspective in Korea from 2007 to 2015. The socioeconomic cost of each disease group was calculated based on the Korean Standard Disease Classification System. Direct costs were estimated using health insurance claims data provided by the National Health Insurance Service. The numbers of outpatients and inpatients with the main diagnostic codes for each disease were selected as a proxy indicator for estimating patients' medical use behavior by disease. The economic burden of disease from 2007 to 2015 showed an approximately 20% increase in total costs. From 2007 to 2015, communicable diseases (including infectious, maternal, pediatric, and nutritional diseases) accounted for 8.9-12.2% of the socioeconomic burden, while non-infectious diseases accounted for 65.7-70.7% and injuries accounted for 19.1-22.8%. The top 5 diseases in terms of the socioeconomic burden were self-harm (which took the top spot for 8 years), followed by cirrhosis of the liver, liver cancer, ischemic heart disease, and upper respiratory infections in 2007. Since 2010, the economic burden of conditions such as low back pain, falls, and acute bronchitis has been included in this ranking. This study expanded the scope of calculating the burden of disease at the national level by calculating the burden of disease in Koreans by gender and disease. These findings can be used as indicators of health equality and as useful data for establishing community-centered (or customized) health promotion policies, projects, and national health policy goals.
Park, Hyeoun-Ae;Jung, Hyesil;On, Jeongah;Park, Seul Ki;Kang, Hannah
Healthcare Informatics Research
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v.24
no.4
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pp.253-262
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2018
Objectives: We reviewed digital epidemiological studies to characterize how researchers are using digital data by topic domain, study purpose, data source, and analytic method. Methods: We reviewed research articles published within the last decade that used digital data to answer epidemiological research questions. Data were abstracted from these articles using a data collection tool that we developed. Finally, we summarized the characteristics of the digital epidemiological studies. Results: We identified six main topic domains: infectious diseases (58.7%), non-communicable diseases (29.4%), mental health and substance use (8.3%), general population behavior (4.6%), environmental, dietary, and lifestyle (4.6%), and vital status (0.9%). We identified four categories for the study purpose: description (22.9%), exploration (34.9%), explanation (27.5%), and prediction and control (14.7%). We identified eight categories for the data sources: web search query (52.3%), social media posts (31.2%), web portal posts (11.9%), webpage access logs (7.3%), images (7.3%), mobile phone network data (1.8%), global positioning system data (1.8%), and others (2.8%). Of these, 50.5% used correlation analyses, 41.3% regression analyses, 25.6% machine learning, and 19.3% descriptive analyses. Conclusions: Digital data collected for non-epidemiological purposes are being used to study health phenomena in a variety of topic domains. Digital epidemiology requires access to large datasets and advanced analytics. Ensuring open access is clearly at odds with the desire to have as little personal data as possible in these large datasets to protect privacy. Establishment of data cooperatives with restricted access may be a solution to this dilemma.
Heshmat, Ramin;shafiee, Gita;Kelishadi, Roya;Babaki, Amir Eslami Shahr;Motlagh, Mohammad Esmaeil;Arefirad, Tahereh;Ardalan, Gelayol;Ataie-Jafari, Asal;Asayesh, Hamid;Mohammadi, Rasool;Qorbani, Mostafa
Nutrition Research and Practice
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v.9
no.4
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pp.404-410
/
2015
BACKGROUND/OBJECTIVES: Although the association of body mass index (BMI) with metabolic syndrome (MetS) is well documented, there is little knowledge on the independent and joint associations of BMI and physical activity with MetS risk based on a continuous scoring system. This study was designed to explore the effect of physical activity on interactions between excess body weight and continuous metabolic syndrome (cMetS) in a nationwide survey of Iranian children and adolescents. SUBJECTS/METHODS: Data on 5,625 school students between 10 and 18 years of age were analyzed. BMI percentiles, screen time activity (STA), leisure time physical activity (LTPA) levels, and components of cMetS risk score were extracted. Standardized residuals (z-scores) were calculated for MetS components. Linear regression models were used to study the interactions between different combinations of cMetS, LTPA, and BMI percentiles. RESULTS: Overall, 984 (17.5%) subjects were underweight, whereas 501 (8.9%) and 451 (8%) participants were overweight and obese, respectively. All standardized values for cMetS components, except fasting blood glucose level, were directly correlated with BMI percentiles in all models (P-trend < 0.001); these associations were independent of STA and LTPA levels. Linear associations were also observed among LTPA and standardized residuals for blood pressure, high-density lipoprotein, and waist circumference (P-trend < 0.01). CONCLUSIONS: Our findings suggest that BMI percentiles are associated with cMetS risk score independent of LTPA and STA levels.
Background: Cancer and non-communicable diseases are a major issue not only for the developed but also developing countries. Public health and primary care nursing offer great potential for primary and secondary prevention of these diseases through community and family-based approaches. Within Thailand there are related established educational curricula but less is known about how graduate practitioners enact ideas in practice and how these can influence policy at local levels. Aim: The aim of this inquiry was to develop family nursing practice in primary care settings in the Isaan region or Northeastern Thailand and to distill what worked well into a nursing model to guide practice. Materials and Methods: An appreciative inquiry approach involving analysis of written reports, focus group discussions and individual interviews was used to synthesize what worked well for fourteen family nurses involved in primary care delivery and to build the related model. Results: Three main strategies were seen to offer a basis for optimal care delivery, namely: enacting a participatory action approach mobilizing families' social capital; using family nursing process; and implementing action strategies within communities. These were distilled into a new conceptual model. Conclusions: The model has some features in common with related community partnership models and the World Health Organization Europe Family Health Nurse model, but highlights practical strategies for family nursing enactment. The model offers a basis not only for planning and implementing family care to help prevent cancer and other diseases but also for education of nurses and health care providers working in communities. This articulation of what works in this culture also offers possible transference to different contexts internationally, with related potential to inform health and social care policies, and international development of care models.
Background: Thyroid tumors are generally regarded as rare malignancies. Nowadays, however, their global incidence is growing continuously partially due to western life style and utilization of more sensitive methods of early detection. It is approximately three times more prevalent in females than in males. Most cases of thyroid cancer are asymptomatic nodules or just have local cervical symptoms or adenopathy in early stages. Materials and Methods: The Global Burden of Diseases report 2010 study (released 3/2013) profited from 100 collaborators worldwide and used a vast network of data on health outcomes, vital registries, and population surveys. It shared many of the Global Burden of Diseases 1990 principal databases such as all available data on injuries, diseases, risk factors, as well as comparable metrics, and used different scientific approved methods to estimate important health status data like: death rate, life expectancy, healthy adjusted life expectancy, disability-adjusted life years (DALY), years of living lost due to premature death and years of life with disabilities. Results: DALY as thyroid cancer burden per 100,000 Iranian populations had increased by about 14% during 1990 to 2010 in all ages; from 6.1 (95% UI 4.2-9.74) years in 1990 to 6.95 (95% UI 5.06-9.18) years in 2010 in both sex. The 2010 peak age-group was estimated at 45-49 years in males and 40-45 years in females.
Faradmal, Javad;Soltanian, Ali Reza;Roshanaei, Ghodratollah;Khodabakhshi, Reza;Kasaeian, Amir
Asian Pacific Journal of Cancer Prevention
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v.15
no.14
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pp.5883-5888
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2014
Background: Breast cancer is the most common cancers in female populations. The exact cause is not known, but is most likely to be a combination of genetic and environmental factors. Log-logistic model (LLM) is applied as a statistical method for predicting survival and it influencing factors. In recent decades, artificial neural network (ANN) models have been increasingly applied to predict survival data. The present research was conducted to compare log-logistic regression and artificial neural network models in prediction of breast cancer (BC) survival. Materials and Methods: A historical cohort study was established with 104 patients suffering from BC from 1997 to 2005. To compare the ANN and LLM in our setting, we used the estimated areas under the receiver-operating characteristic (ROC) curve (AUC) and integrated AUC (iAUC). The data were analyzed using R statistical software. Results: The AUC for the first, second and third years after diagnosis are 0.918, 0.780 and 0.800 in ANN, and 0.834, 0.733 and 0.616 in LLM, respectively. The mean AUC for ANN was statistically higher than that of the LLM (0.845 vs. 0.744). Hence, this study showed a significant difference between the performance in terms of prediction by ANN and LLM. Conclusions: This study demonstrated that the ability of prediction with ANN was higher than with the LLM model. Thus, the use of ANN method for prediction of survival in field of breast cancer is suggested.
Context: Tobacco is the single largest cause of preventable death among adults globally, as it is in India. Despite this alarming situation, there is very minimal inclusion of tobacco in formal education systems, including the medical discipline, in India. Aims: The present study analyzed the extent of integration of tobacco control related content in Masters of Public Health (MPH) curricula of various institutes in India. Materials and Methods: This cross-sectional study was conducted during January 2011 to May 2011 in all colleges of the country offering a MPH course. The colleges were enlisted using various internet search engines (Google Scholar, Pubmed, Medline), other published literature and snowball technique. A 50 items semi-structured questionnaire was designed, posted and e-mailed (followed by hard copy) to the Person-In-Charge of the MPH program. Statistical Analysis: Descriptive statistics were used to profile the tobacco control content in respective institutions. All data entry and analysis was conducted using SPSS (version 16) for windows. Results: The duration of the MPH course was two years in all institutes and had accreditation with some affiliated body. Tobacco related diseases were covered under 'non communicable diseases' section by every institute. However, a mere 41.4% of institute's had faculty who had received specialized training in tobacco control. More coverage was given to health risks and effects of smoking as compared to cessation interventions (5 A's), symptoms of withdrawal and pharmacological treatments. Only 25% of institutes were in process of introducing tobacco courses into their curricula. Lack of expertise and administrative barriers were cited as perceived major problems in inclusion of tobacco control in MPH curricula. Conclusions: It can be concluded that tobacco control is not receiving adequate attention in public health curricula in India. There is a need for coordinated efforts in the area of tobacco control so as to reduce morbidity and mortality from tobacco induced diseases.
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