scholarly journals Economic Burden of Major Diseases in China in 2013

2021 ◽  
Vol 9 ◽  
Author(s):  
Xianyan Song ◽  
Lan Lan ◽  
Ting Zhou ◽  
Jin Yin ◽  
Qiong Meng
Keyword(s):  
Myocardial Infarction ◽  
Economic Burden ◽  
Rural Areas ◽  
Burden Of Disease ◽  
Urban Areas ◽  
Artery Bypass ◽  
Economic Burden Of Disease ◽  
Acute Upper Gastrointestinal Bleeding ◽  
Regional Disease ◽  
Urban And Rural Areas

Studies on the economic burden of disease (EBD) can estimate the social benefits of preventing or curing disease. The majority of studies focus on the economic burden of a single or regional disease; however, holistic or national research is rare in China. Estimating the national EBD can provide evidence for policy makers. We used the top-down method to assess the economic burden of 30 types of diseases between urban and rural areas in China. The two-step model was used to evaluate the direct economic burden of disease (DEBD), while the human capital method was used to assess the indirect economic burden of disease (IEBD). The total economic burden of 30 types of diseases in China was between $13.39 and 803.00 billion in 2013. The average total economic burden of disease (TEBD) in cities was $81.39 billion, while diseases in villages accounted for $50.26 billion. The range of direct and indirect EBD was $5.77–494.52 billion, and the range in urban areas was $0.61–20.34 billion. The direct and indirect EBD in rural areas accounted for $5.88–277.76 billion and $0.59–11.39 billion, respectively. There was a large difference between the economic burden of different diseases. The economic burden of urban diseases was more significant than the burden for the rural. The top five most economically burdensome diseases were myocardial infarction coronary artery bypass, acute myocardial infarction, cerebral hemorrhage, acute upper gastrointestinal bleeding and acute appendicitis.

scholarly journals Different Patterns in Ranking of Risk Factors for the Onset Age of Acute Myocardial Infarction between Urban and Rural Areas in Eastern Taiwan

2021 ◽  
Vol 18 (11) ◽  
pp. 5558
Author(s):  
Hsiu-Ju Huang ◽  
Chih-Wei Lee ◽  
Tse-Hsi Li ◽  
Tsung-Cheng Hsieh
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Rural Areas ◽  
Urban Areas ◽  
Cross Sectional Study ◽  
Onset Age ◽  
Cross Sectional ◽  
The Difference ◽  
Urban And Rural Areas

This cross-sectional study aimed to investigate the difference in ranking of risk factors of onset age of acute myocardial infarction (AMI) between urban and rural areas in Eastern Taiwan. Data from 2013 initial onset of AMI patients living in the urban areas (n = 1060) and rural areas (n = 953) from January 2000 to December 2015, including onset age, and conventional risk factors including sex, smoking, diabetes, hypertension, dyslipidemia, and body mass index (BMI). The results of multiple linear regressions analysis showed smoking, obesity, and dyslipidemia were early-onset reversible risk factors of AMI in both areas. The ranking of impacts of them on the age from high to low was obesity (β = −6.7), smoking (β = −6.1), and dyslipidemia (β = −4.8) in the urban areas, while it was smoking (β = −8.5), obesity (β= −7.8), and dyslipidemia (β = −5.1) in the rural areas. Furthermore, the average onset ages for the patients who smoke, are obese, and have dyslipidemia simultaneously was significantly earlier than for patients with none of these comorbidities in both urban (13.6 years) and rural (14.9 years) areas. The findings of this study suggest that the different prevention strategies for AMI should be implemented in urban and rural areas.

scholarly journals The Impact of Illness Awareness on the Difference in the Economic Burden of Disease Among Middle-Aged and Elderly Diabetic Patients in Rural Areas

2020 ◽  
Author(s):  
Li Liu ◽  
Jing Deng ◽  
Xue Yu
Keyword(s):  
Influencing Factors ◽  
Economic Burden ◽  
Rural Areas ◽  
Burden Of Disease ◽  
Sample Selection ◽  
Multiple Regression Model ◽  
Diabetic Patients ◽  
Middle Aged ◽  
Economic Burden Of Disease ◽  
The Impact

Abstract BackgroundThere are many explorations in China on the awareness of diabetes and the economic burden of disease, but the impact of awareness of illness on the economic burden of disease has not yet been empirically studied. We aim to explore the status of illness awareness and its influencing factors in rural middle-aged and elderly diabetic patients, and to further explore the impact of illness awareness on the economic burden of patients.MethodsTaking rural middle-aged and elderly diabetes as the object, the multiple regression model was used to analyze the patient's economic burden of disease and illness awareness, the propensity score matching method (PSM) was used to solve the influence of sample selection bias, and to explore the economic burden of disease awareness on patients Impact.ResultsIllness awareness is an important factor affecting the economic burden of disease in middle-aged and elderly diabetes in rural areas. Illness awareness increased the economic burden of disease by 94.3%; the number of other chronic diseases, education level, location, self-rated health status, and smoking are Influencing factors of patients' awareness of illness.ConclusionIn the short term, awareness of illness increases the overall treatment costs of patients, but from the perspective of long-term development, changes in lifestyle and medical behavior based on awareness of illness can help improve the health of patients and effectively reduce the risk of middle-aged and elderly diabetic patients in rural areas. The economic burden of disease.

scholarly journals Patterns of Alcohol Consumption in the PURE Poland Cohort Study and Their Relationship with Health Problems

2021 ◽  
Vol 18 (8) ◽  
pp. 4185
Author(s):  
Katarzyna Zatońska ◽  
Piotr Psikus ◽  
Alicja Basiak-Rasała ◽  
Zuzanna Stępnicka ◽  
Maria Wołyniec ◽  
...  
Keyword(s):  
Cohort Study ◽  
Alcohol Consumption ◽  
Rural Areas ◽  
Urban Areas ◽  
Level Of Education ◽  
Adult Participants ◽  
Frequent Consumption ◽  
Urban And Rural Areas ◽  
Socio Demographic Factors ◽  
High Level

(1) Background: Alcohol is a leading risk factor of premature morbidity and mortality. The objective of this study was to investigate the patterns of alcohol consumption in the PURE Poland cohort study baseline. (2) Methods: A Polish cohort was enrolled in the baseline study in 2007–2010. The study group consisted of 2021 adult participants of urban and rural areas from the Lower Silesia voivodeship in Poland (747 men and 1274 women). (3) Results: In the overall study population, 67.3% were current drinkers, 10.3% were former drinkers, and 22.4% were abstainers. Current use of alcohol products was more prevalent in men (77.2%), people living in urban areas (73.0%), and people with a higher level of education (78.0%). The percentage of current drinkers decreased with increasing age (from 73.4% in 30- to 44-year-olds to 48.8% in participants aged 64 and more). The majority of participants (89.2%) declared a low level of alcohol intake. The chance of high level of intake of alcohol was four times higher in men than in women (OR 4.17; CI 1.64–10.6). The majority of participants (54.6%) declared most frequent consumption of low-alcohol drinks (beer, wine) and 21% declared most frequent consumption of spirits. Current drinkers had almost 1.5-fold higher odds of diabetes and cardiovascular diseases (CVD) than never drinkers (OR 1.49, CI 1.03–2.17; OR 1.66, CI 1.27–2.18, respectively). Former drinkers had higher odds for hypertension and CVD than never drinkers (1.73, CI 1.05–2.85; OR 1.76, CI 1.22–2.53, respectively). (4) Conclusions: In our cohort study, we observed several socio-demographic factors differentiating the patterns of alcohol consumption. The preventive programs should focus predominantly on men, people aged <45 years, and those with a higher level of education.

The Rural-Urban Continuum of Polarization: Understanding the Geography of the 2018 Midterms

The Forum ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Kenneth M. Johnson ◽  
Dante J. Scala
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Metropolitan Areas ◽  
Political Attitudes ◽  
The United States ◽  
Rural America ◽  
Rural Regions ◽  
Urban America ◽  
Urban And Rural Areas ◽  
The Continuum

Abstract This study of the 2018 congressional midterms demonstrates how voting patterns and political attitudes vary across a spectrum of urban and rural areas in the United States. Rural America is no more a monolith than is urban America. The rural-urban gradient is better represented by a continuum than a dichotomy. This is evident in the voting results in 2018, just as it was in 2016. We found that the political tipping point lies beyond major metropolitan areas, in the suburban counties of smaller metropolitan areas. Democrats enjoyed even greater success in densely populated urban areas in 2018 than in 2016. Residents of these urban areas display distinctive and consistent social and political attitudes across a range of scales. At the other end of the continuum in remote rural areas, Republican candidates continued to command voter support despite the challenging national political environment. Voters in these rural regions expressed social and political attitudes diametrically opposed to their counterparts in large urban cores.

scholarly journals Breastfeeding practice in China from 2013 to 2018: a study from a national dynamic follow-up surveillance

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Leni Kang ◽  
Juan Liang ◽  
Chunhua He ◽  
Lei Miao ◽  
Xiaohong Li ◽  
...  
Keyword(s):  
Psychological Health ◽  
Rural Areas ◽  
Urban Areas ◽  
Child Nutrition ◽  
Central Area ◽  
Mother And Child ◽  
Physical And Psychological Health ◽  
Urban And Rural Areas ◽  
Log Linear ◽  
Breastfeeding Practice

Abstract Background Breastfeeding is important for the physical and psychological health of the mother and child. Basic data on breastfeeding practice in China are out-of-date and vary widely. This study aimed to evaluate the progress of breastfeeding practice in China, as well as to explore the bottlenecks in driving better practice. Methods This was an observational study. We used data from the Under-5 Child Nutrition and Health Surveillance System in China for the period 2013–2018. The prevalence of early initiation of breastfeeding (EIBF) and exclusive breastfeeding (EBF) were calculated for each year for subgroups of China. The Cochran-Armitage test was used to explore the time trends. The annual percent of change (APC) were calculated by log-linear regression followed by exp transformation. Results The prevalence of EIBF increased significantly from 44.57% (95% CI: 44.07, 45.07) in 2013 to 55.84% (95% CI: 55.29, 56.38) in 2018 (Ptrend < 0.001), with an APC of 4.67% (95% CI: 3.51, 5.85). And the prevalence of EBF increased rapidly from 16.14% (95% CI: 15.10, 17.18) to 34.90% (95% CI: 33.54, 36.26) (Ptrend < 0.001), with an APC of 14.90% (95% CI: 9.97, 20.04). Increases were observed in both urban and rural areas, with urban areas showing greater APCs for EIBF (6.05%; 95% CI: 4.22, 7.92 v.s. 2.26%; 95% CI: 1.40, 3.12) and EBF (18.21%; 95% CI: 11.53, 25.29 v.s. 9.43%; 95% CI: 5.52, 13.49). The highest EBF prevalence was observed in the East, but the Central area showed the highest APC. The prevalence of EBF decreased with increasing age within the first 6 months, especially after 3 months. Conclusion The prevalence of both EIBF and EBF in China are improving in recent years. The rural and West China could be the key areas in the future actions. More efforts should be made to protect and promote breastfeeding to achieve near- and long-term goals for child health.

scholarly journals Green and Blue Space Availability and Self-Rated Health among Seniors in China: Evidence from a National Survey

2021 ◽  
Vol 18 (2) ◽  
pp. 545
Author(s):  
Chensong Lin ◽  
Longfeng Wu
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Empirical Studies ◽  
National Level ◽  
The Elderly ◽  
Coverage Ratio ◽  
Self Rated Health ◽  
Health Promoting ◽  
Major River ◽  
Urban And Rural Areas

Many empirical studies have shown evidence of multiple health benefits provided by green and blue spaces. Despite the importance of these spaces, investigations are scarce in details for blue spaces rather than green. Moreover, most research has focused on developed regions. A limited number of studies on blue spaces can be found in China with a focus on the city level. Outcomes have been mixed due to varying research scales, methodologies, and definitions. This study relies on a national-level social survey to explore how the self-rated health (SRH) of senior individuals is associated with local green and blue space availability in urban and rural areas. Results indicate that the coverage ratio of overall green spaces and waterbodies around a resident’s home have marginal effects on SRH status in both urban and rural areas. In urban areas, living close to a park can is marginally beneficial for older people’s health. Regarding different types of blue spaces, the presence of a major river (within 0.3–0.5 km) or coastline (within 1 km and 1–5 km) in the vicinity of home negatively affects SRH among the elderly in urban areas. Close proximity to lakes and other types of waterbodies with a water surface larger than 6.25 ha did not significantly influence SRH. These findings not only evaluate general health impacts of green/blue space development on senior populations across the county but inform decision makers concerning the health-promoting qualities and features of different green/blue spaces to better accommodate an aging population in the era of urbanization.

Influence of community satisfaction with individual happiness: comparative study in semi-urban and rural areas of Tikapur, Nepal

2017 ◽  
Vol 25 (3) ◽  
pp. 22-32 ◽  
Author(s):  
Myung-Bae Park ◽  
Chun-Bae Kim ◽  
Chhabi Ranabhat ◽  
Chang-Soo Kim ◽  
Sei-Jin Chang ◽  
...  
Keyword(s):  
Rural Areas ◽  
Physical Environment ◽  
Urban Areas ◽  
Positive Relationship ◽  
National Level ◽  
Medical Services ◽  
Community Satisfaction ◽  
Critical Factors ◽  
Urban And Rural Areas

Happiness is a subjective indicator of overall living conditions and quality of life. Recently, community- and national-level investigations connecting happiness and community satisfaction were conducted. This study investigated the effects of community satisfaction on happiness in Nepal. A factor analysis was employed to examine 24 items that are used to measure community satisfaction, and a multiple regression analysis was conducted to investigate the effects of these factors on happiness. In semi-urban areas, sanitation showed a positive relationship with happiness. In rural areas, edu-medical services were negatively related to happiness, while agriculture was positively related. Gender and perceived health were closely associated with happiness in rural areas. Both happiness and satisfaction are subjective concepts, and are perceived differently depending on the socio-physical environment and personal needs. Sanitation, agriculture (food) and edu-medical services were critical factors that affected happiness; however, the results of this study cannot be generalized to high-income countries.

scholarly journals Factors Associated with Happiness among Malaysian Elderly

2021 ◽  
Vol 18 (7) ◽  
pp. 3831
Author(s):  
Shamsul Azhar Shah ◽  
Nazarudin Safian ◽  
Saharuddin Ahmad ◽  
Wan Abdul Hannan Wan Ibadullah ◽  
Zulkefley bin Mohammad ◽  
...  
Keyword(s):  
Emotional Support ◽  
Rural Areas ◽  
Social Engagement ◽  
Urban Areas ◽  
Elderly Population ◽  
Handgrip Strength ◽  
The Elderly ◽  
Evaluation Study ◽  
Factors Associated ◽  
Urban And Rural Areas

Happiness is an essential component to experience healthy ageing. Hence, understanding the factors that contribute to happiness is important. This study aimed to determine the factors associated with happiness among the elderly population in Malaysia. In this study, 1204 respondents were recruited from urban and rural areas in Selangor. A face-to-face interview was conducted using the Bahasa Malaysia version of the Japan Gerontological Evaluation Study questionnaire. The inclusion criteria include Malaysians who are 60-years old and above and can converse in the Malaysian language. Those who encounter less than seven scores for the Abbreviated Mental Test were excluded from the study. Among the 1204 respondents, 953 (79.2%) were happy. Sociodemographic characteristics showed that being a men, age of 60 to 74 years, and living in urban areas were significantly associated with happiness. A logistic regression model showed that locality (aOR 1.61), income category (Bottom 40% aOR 0.49; Middle-class group 40% aOR 1.40), social engagement (active aOR 1.77; less active aOR 1.25), receiving emotional support (aOR 2.11) and handgrip strength (aOR 1.02) were significantly associated with happiness. Thus, ensuring the elderly population in receiving emotional support and active social engagement among them can enhance their happiness level.

Komparácia pro-poor rastu vo vidieckych a mestských oblastiach Indonézie

2021 ◽  
Author(s):  
Barbora Frličková
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Poor People ◽  
Average Income ◽  
Poor Growth ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
Poverty And Inequality ◽  
Partial Period ◽  
Urban And Rural Areas

The paper analyses construction and use of a selected indicator of pro-poor growth – the rate of pro-poor growth. It further explains the interpretation of this indicator in absolute and relative terms and indicates how economic growth affects poverty and inequality. The selected indicator is applied to the example of Indonesia and compares pro-poor growth in urban and rural areas of the country, examines regional disparities in terms of pro-poor growth for the period 1996–2019. From the absolute interpretation, pro-poor growth is observed in both urban and rural areas over the whole period. In relative terms, results of pro-poor growth for the first partial period (1996–2000) differ. While there was a relative pro-poor growth in the rural areas, there was a strong pro-poor growth in the cities with a significant decline in inequality observed (incomes of poor people increased while the average income of the whole population dropped). Indonesia achieved trickle-down growth in both rural and urban areas in two remaining periods (2000–2010 and 2010–2019).

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