scholarly journals FAKTOR-FAKTOR SOSIAL EKONOMI DAN KESEHATAN MASYARAKAT KAITANNYA DENGAN MASALAH GIZI UNDERWEIGHT, STUNTED, DAN WASTED DI INDONESIA: PENDEKATAN EKOLOGI GIZI

2011 ◽  
Vol 6 (1) ◽  
pp. 59
Author(s):  
Dian Hani Ulfani ◽  
Drajat Martianto ◽  
Yayuk Farida Baliwati
Keyword(s):  
Public Health ◽  
Pearson Correlation ◽  
Ecological Problem ◽  
Linear Regression Method ◽  
Font Size ◽  
Poverty Level ◽  
Factors Affecting ◽  
Hygiene Behavior ◽  
Health Factors ◽  
Quality Water

<p class="MsoNormal" style="margin: 0cm 5.65pt 6pt 14.2pt; text-align: justify; text-indent: 1cm;"><span style="font-size: 10pt;" lang="en-us" xml:lang="en-us">Malnutrition is an ecological problem in the sense influenced by various aspects, as explained in the framework of UNICEF (1988).<span style="background: #FFFFFF none repeat scroll 0% 0%;"> Indonesia as developing country at present still faced such a problem.</span> Eco-nutrition is important to understand related factors affect</span><span style="font-size: 10pt;">ing</span><span style="font-size: 10pt;" lang="en-us" xml:lang="en-us"> malnutrition in Indonesia to find out more effective programs. Eco-nutrition have three key areas : public health (access to quality water, sanitation and health services), socio economic (livelihood assets) and malnutrition. <span style="background: #FFFFFF none repeat scroll 0% 0%;">The purpose of this research was to study the linkages between socioeconomic and public health factors with the problem of underweight, stunted, and wasted in Indonesia.</span>This research was conducted using cross-sectional study design, analyzed the 424 districts/cities in Indonesia. Data prevalence of underweight, stunted, wasted, level of education and public health factors (access to quality water, hygiene behavior, utilization of Posyandu, complete immunization coverage, incidence of diarrhea, and the incidence of acute respiratory infections (ARI) obtained from Riset Kesehatan Dasar (Riskesdas ) 2007. <span style="background: #FFFFFF none repeat scroll 0% 0%;">Socio-economic data (level of poverty and GDP/capita) obtained from the Central Statistic Agency (BPS). </span>Statistical test of Pearson correlation and stepwise linear regression method were implemented to understand factors affecting underweight, stunted, wasted and correlation among variables.<strong> </strong>The study shows that factors affecting underweight were educational level, poverty level, hygiene behavior and use of Posyandu. <span style="background: #FFFFFF none repeat scroll 0% 0%;">While factors affecting stunted w</span></span><span style="font-size: 10pt;">e</span><span style="font-size: 10pt;" lang="en-us" xml:lang="en-us">re GDP/capita, education level, poverty level, hygiene behavior, and utilization of Posyandu. Factors affecting wasted were hygiene behavior, utilization of Posyandu and complete immunization.</span></p>

Understanding Economic and Health Factors Impacting the Spread of COVID-19 Disease (Preprint)

2020 ◽  
Author(s):  
Aleksandr Farseev ◽  
Yu-Yi Chu-Farseeva ◽  
Yang Qi ◽  
Daron Benjamin Loo
Keyword(s):  
Public Health ◽  
Quantitative Research ◽  
Health Indicators ◽  
Initial Study ◽  
Disease Spread ◽  
Factors Affecting ◽  
Country Level ◽  
Development Scenarios ◽  
Health Factors ◽  
Country Clusters

UNSTRUCTURED The rapid spread of the Coronavirus 2019 disease (COVID-19) had drastically impacted life all over the world. While some economies are actively recovering from this pestilence, others are experiencing fast and consistent disease spread, compelling governments to impose social distancing measures that have put a halt on routines, especially in densely-populated areas. Aiming at bringing more light on key economic and public health factors affecting the disease spread, this initial study utilizes a quantitative statistical analysis based on the most recent publicly-available COVID-19 datasets. The study had shown and explained multiple significant relationships between the COVID-19 data and other country-level statistics. We have also identified and statistically profiled four major country-level clusters with relation to different aspects of COVID-19 development and country-level economic and health indicators. Specifically, this study has identified potential COVID-19 under-reporting traits as well as various economic factors that impact COVID-19 Diagnosis, Reporting, and Treatment. Based on the country clusters, we have also described the four disease development scenarios, which are tightly knit to country-level economic and public health factors. Finally, we have highlighted the potential limitation of reporting and measuring COVID-19 and provided recommendations on further in-depth quantitative research.

scholarly journals Understanding Economic and Health Factors Impacting the Spread of COVID-19 Disease

2020 ◽  
Author(s):  
Aleksandr Farseev ◽  
Yu-YI Chu-Farseeva ◽  
Qi yang ◽  
Daron Benjamin Loo
Keyword(s):  
Public Health ◽  
Quantitative Research ◽  
Health Indicators ◽  
Initial Study ◽  
Disease Spread ◽  
Factors Affecting ◽  
Country Level ◽  
Development Scenarios ◽  
Health Factors ◽  
Country Clusters

The rapid spread of the Coronavirus 2019 disease (COVID-19) had drastically impacted life all over the world. While some economies are actively recovering from this pestilence, others are experiencing fast and consistent disease spread, compelling governments to impose social distancing measures that have put a halt on routines, especially in densely-populated areas.Aiming at bringing more light on key economic and public health factors affecting the disease spread, this initial study utilizes a quantitative statistical analysis based on the most recent publicly-available COVID-19 datasets.The study had shown and explained multiple significant relationships between the COVID-19 data and other country-level statistics. We have also identified and statistically profiled four major country-level clusters with relation to different aspects of COVID-19 development and country-level economic and health indicators. Specifically, this study has identified potential COVID-19 under-reporting traits as well as various economic factors that impact COVID-19 Diagnosis, Reporting, and Treatment. Based on the country clusters, we have also described the four disease development scenarios, which are tightly knit to country-level economic and public health factors. Finally, we have highlighted the potential limitation of reporting and measuring COVID-19 and provided recommendations on further in-depth quantitative research.

scholarly journals Poverty and survival from COVID-19 in Mexico

2020 ◽  
Author(s):  
Rebeca Olivia Millán-Guerrero ◽  
Ramiro Caballero-Hoyos ◽  
Joel Monárrez-Espino
Keyword(s):  
Cox Regression ◽  
Secondary Data ◽  
Multidimensional Poverty ◽  
Preventive Strategy ◽  
Poverty Level ◽  
Factors Affecting ◽  
Extreme Poverty ◽  
Lower Survival ◽  
Hazard Ratios ◽  
Poverty And Inequality

Abstract Background Recent evidence points to the relevance of poverty and inequality as factors affecting the spread and mortality of the COVID-19 pandemic in Latin America. This study aimed to determine whether COVID-19 patients living in Mexican municipalities with high levels of poverty have a lower survival compared with those living in municipalities with low levels. Methods Retrospective cohort study. Secondary data was used to define the exposure (multidimensional poverty level) and outcome (survival time) among patients diagnosed with COVID-19 between 27 February and 1 July 2020. Crude and adjusted hazard ratios (HR) from Cox regression were computed. Results Nearly 250 000 COVID-19 patients were included. Mortality was 12.3% reaching 59.3% in patients with ≥1 comorbidities. Multivariate survival analyses revealed that individuals living in municipalities with extreme poverty had 9% higher risk of dying at any given time proportionally to those living in municipalities classified as not poor (HR 1.09; 95% CI 1.06–1.12). The survival gap widened with the follow-up time up to the third to fourth weeks after diagnosis. Conclusion Evidence suggests that the poorest population groups have a lower survival from COVID-19. Thus, combating extreme poverty should be a central preventive strategy.

scholarly journals The role of serum β-trophin and endostatin in patients with polycystic ovary syndrome: Are they correlated?

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Wei Gong ◽  
Aikmu Bilixzi ◽  
Xinmei Wang ◽  
Yanli Lu ◽  
Li Wan ◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Influencing Factors ◽  
Polycystic Ovary ◽  
Pearson Correlation ◽  
Healthy Controls ◽  
Newly Diagnosed ◽  
Ovary Syndrome ◽  
Factors Affecting ◽  
Main Factors

Abstract Background It’s necessary to investigate the serum β-trophin and endostatin (ES) level and its influencing factors in patients with newly diagnosed polycystic ovary syndrome (PCOS). Methods Newly diagnosed PCOS patients treated in our hospital were selected, and healthy women who took physical examination during the same period as healthy controls. We detected and compared the related serum indicators between two groups, Pearson correlation were conducted to identify the factors associated with β-trophin and ES, and the influencing factors of β-trophin and ES were analyzed by logistic regression. Results A total of 62 PCOS patients and 65 healthy controls were included. The BMI, WHI, LH, FSH, TT, FAI, FBG, FINS, HOMA-IR, TC, TG, LDL, ES in PCOS patients were significantly higher than that of healthy controls, while the SHBG and HDL in PCOS patients were significantly lower than that of healthy controls (all p < 0.05). β-trophin was closely associated with BMI (r = 0.427), WHR (r = 0.504), FBG (r = 0.385), TG (r = 0.405) and LDL (r = 0.302, all p < 0.05), and ES was closely associated with BMI (r = 0.358), WHR (r = 0.421), FBG (r = 0.343), TC (r = 0.319), TG (r = 0.404, all p < 0.05). TG, BMI, WHR and FBG were the main factors affecting the serum β-trophin levels (all p < 0.05). FBG, TC and BMI were the main factors affecting the serum ES levels (all p < 0.05). The TG, β-trophin, ES level in PCOS patients with insulin resistance (IR) were significantly higher than that of those without IR (all p < 0.05). Conclusion Increased β-trophin is closely associated with increased ES in patients with PCOS, which may be the useful indicators for the management of PCOS.

scholarly journals Panic and Trust during COVID-19: A Cross-Sectional Study on Immigrants in South Korea

Healthcare ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 199
Author(s):  
Myeong Sook Yoon ◽  
Israel Fisseha Feyissa ◽  
So-Won Suk
Keyword(s):  
Public Health ◽  
South Korea ◽  
Pearson Correlation ◽  
Cross Sectional Study ◽  
Native Community ◽  
Cross Sectional ◽  
The Public ◽  
Marginalized Groups ◽  
Local Media ◽  
Effective Public Health

In the COVID-19 pandemic, marginalized groups like migrants are disproportionately affected. As panic, fear of neglect, and mistrusting institutions in these groups are presumed to be apparent, their detachment to health services still needs to be investigated. This study comparatively analyzed the level of panic and trust between South Koreans and immigrants who are living within highly affected areas of South Korea. Mann–Whitney-U-Test and Pearson correlation showed panic is more pronounced in the Korean group while having a similar panic display pattern with the immigrants. The immigrant group appears to highly trust the Korean health system, health institutions, local media, and the local native community. Beyond conventional expectations, participant’s average panic score showed a statistically significant positive correlation with items of the trust scale, indicating a level of individual reliance amid the pandemic panic. Thus, ascertaining institutional trust and matured citizenry are identified as factors for effective public health outcomes. During such a pandemic, this study also reminded the public health needs of immigrants as secondary citizens, and presumptions of immigrants’ mistrust in such settings might not always be true.

scholarly journals The features of the coastal fronts in the Eastern Guangdong coastal waters during the downwelling-favorable wind period

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Chaoyu Yang ◽  
Haibin Ye
Keyword(s):  
Coastal Waters ◽  
Meteorological Data ◽  
Pearson Correlation ◽  
Ocean Model ◽  
Ekman Pumping ◽  
Zonal Distribution ◽  
Factors Affecting ◽  
China Sea ◽  
Hybrid Coordinate Ocean Model ◽  
The Mean

AbstractA coastal front was detected in the eastern Guangdong (EGD) coastal waters during a downwelling-favorable wind period by using the diffuse attenuation coefficient at 490 nm (Kd(490)). Long-term satellite data, meteorological data and hydrographic data collected from 2003 to 2017 were jointly utilized to analyze the environmental factors affecting coastal fronts. The intensities of the coastal fronts were found to be associated with the downwelling intensity. The monthly mean Kd(490) anomalies in shallow coastal waters less than 25 m deep along the EGD coast and the monthly mean Ekman pumping velocities retrieved by the ERA5 dataset were negatively correlated, with a Pearson correlation of − 0.71. The fronts started in October, became weaker and gradually disappeared after January, extending southwestward from the southeastern coast of Guangdong Province to the Wanshan Archipelago in the South China Sea (SCS). The cross-frontal differences in the mean Kd(490) values could reach 3.7 m−1. Noticeable peaks were found in the meridional distribution of the mean Kd(490) values at 22.5°N and 22.2°N and in the zonal distribution of the mean Kd(490) values at 114.7°E and 114.4°E. The peaks tended to narrow as the latitude increased. The average coastal surface currents obtained from the global Hybrid Coordinate Ocean Model (HYCOM) showed that waters with high nutrient and sediment contents in the Fujian and Zhejiang coastal areas in the southern part of the East China Sea could flow into the SCS. The directions and lengths of the fronts were found to be associated with the flow advection.

scholarly journals Analysis of Drought Characteristics in Xilingol Grassland of Northern China Based on SPEI and Its Impact on Vegetation

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Siqin Tong ◽  
Yuhai Bao ◽  
Rigele Te ◽  
Qiyun Ma ◽  
Si Ha ◽  
...  
Keyword(s):  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Pearson Correlation ◽  
Growing Season ◽  
Vegetation Coverage ◽  
Semiarid Region ◽  
Linear Regression Method ◽  
Upward Trend ◽  
Drought Effect ◽  
Positive Correlation

This research is based on the standardized precipitation evapotranspiration index (SPEI) and normalized difference vegetation index (NDVI) which represent the drought and vegetation condition on land. Take the linear regression method and Pearson correlation analysis to study the spatial and temporal evolution of SPEI and NDVI and the drought effect on vegetation. The results show that (1) during 1961–2015, SPEI values at different time scales showed a downward trend; SPEI-12 has a mutation in 1997 and the SPEI value significantly decreased after this year. (2) During 2000–2015, the annual growing season SPEI has an obvious upward trend in time and the apparent wetting spatially. (3) In the recent 16 years, the growing season NDVI showed an upward trend and more than 80% of the total area’s vegetation increased in Xilingol. (4) Vegetation coverage in Xilingol grew better in humid years and opposite in arid years. SPEI and NDVI had a significant positive correlation; 98% of the region showed positive correlation, indicating that meteorological drought affects vegetation growth more in arid and semiarid region. (5) The effect of drought on vegetation has lag effect, and the responses of different grassland types to different scales of drought were different.

Floristic study and assessment of the environmental factors governing the distribution of riparian plants in the Zat sub-Basin: Tensift Watershed, Morocco

2020 ◽  
Vol 45 (2) ◽  
pp. 7900-7915
Author(s):  
Mostakim Lahcen ◽  
Fetnassi Nidal ◽  
Ghamizi Mohamed
Keyword(s):  
Environmental Factors ◽  
Pearson Correlation ◽  
Ecological Status ◽  
Environmental Parameters ◽  
Quality Parameters ◽  
Phosphorus Concentration ◽  
Factors Affecting ◽  
Riparian Plants ◽  
Emergent Plants ◽  
Significant Difference

Measuring the phytodiversity and determining environmental factors affecting the abundance and distribution of riparian plants of Zat sub-basin in Morocco were carried out in this study. A hypothesis was tested whether there is any statistically significant difference in environmental parameters and plants communities among the Zat River and its tributaries. For this purpose, water quality parameters such as temperature, pH, salinity, electrical conductivity, Dissolved Oxygen, nitrate and phosphorus concentration, and riparian plants diversity were estimated at 17 stations along the Zat River and its tributaries during the periods (2018 and 2019). The Canonical Correspondence Analysis (CCA) and Pearson correlation were preformed to assess the relationship between environmental parameters, and the distribution and abundance of riparian plants inventoried. The presence of 113 species was recorded, distributed between 43 families and 97 genera, 9 of which were floating-leaved, 24 submerged, and 80 emergent plants. The rare and threatened species inventoried were represented by 7 taxa, whereas 6 species are reported as endemic. Raunkiaer classification showed a dominance of therophytes (38.39%) over the other groups. According to CCA, the abiotic parameters (DO, elevation, salinity and nitrate concentration) were statistically significant parameters governing the distribution and abundance of the riparian plants inventoried. The results obtained reveal the state of the riparian vegetation in the Zat subBasin, therefore we can consider them as a reliable component for the assessment of the ecological status of the aquatic environment.

The Role of Female’s Participation in Economic Activity to Household Income The Case of Mizan Aman Town, South Nation Nationality And People’s Region, Ethiopia

2021 ◽  
Author(s):  
Kemal Omer Ahmed
Keyword(s):  
Household Income ◽  
Simple Random Sampling ◽  
Linear Regression Method ◽  
Economic Activities ◽  
Factors Affecting ◽  
Household Decision ◽  
Secondary Sources ◽  
Women's Participation ◽  
Descriptive Method

Abstract The main aim of the study was to examine the role of females' economic participation in household income. To achieve this objective both primary and secondary sources of data were collected from 400 sample size using simple random sampling method. The obtained data were first analyzed using a descriptive method to describe socio-economic characteristics of women in the study area. Secondly, to identify determinants of women’s participation in economic activities and household decision-making process logit model was employed and finally, multiple linear regression method was applied to identify factors affecting the level of women's contribution to household income. The result shows that female participation in economic activities positively determines by women's training and woman’s education level and is negatively affected by the presence of children under five years of age. The contribution of women to household income on average was estimated birr 32,400.50 per annum which was nearly 36.8percent of the overall household income. The possible recommendation is government and other respective bodies must encourage women to learn more and more.

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