scholarly journals S108 Socioeconomic and Demographic Factors in Patients With Periampullary Cancer

2021 ◽  
Vol 116 (1) ◽  
pp. S45-S45
Author(s):  
Mahesh Botejue ◽  
Rasiq Zackria ◽  
Scott Kubomoto
Keyword(s):  
Demographic Factors ◽  
Periampullary Cancer ◽  
Socioeconomic And Demographic Factors

Understanding Patterns of Socioeconomic and Demographic Factors Along With Health Services Provider Availability for Zika Outbreak in South Florida

2017 ◽  
Vol 12 (4) ◽  
pp. 455-459
Author(s):  
Linda McQuade ◽  
Mya Rao ◽  
Roger Miller ◽  
Winnie Zhou ◽  
Rinku Deol ◽  
...  
Keyword(s):  
Health Services ◽  
Demographic Factors ◽  
South Florida ◽  
Consumer Information ◽  
Dade County ◽  
Provider Network ◽  
Public Provider ◽  
Level Data ◽  
Machine Readable ◽  
Socioeconomic And Demographic Factors

AbstractIn this study, we analyzed the patterns of socioeconomic and demographic factors along with health services provider availability for the current Zika outbreak in Miami-Dade County, South Florida. We used Center for Consumer Information & Insurance Oversight (CCIIO) Machine-Readable Public Use Files (MR-PUFs) to examine provider availability in combination with socioeconomic and demographic factors that could potentially lead to healthcare disparities between any underserved population of the Wynwood neighborhood and the broader population of Miami-Dade County. MR-PUFs contain public provider-level data from states that are participating in the Federally Facilitated Marketplace. According to CCIIO, an issuer of a Qualified Health Plan that uses a provider network must maintain a network that is sufficient in the number and types of providers, including providers that specialize in mental-health and substance-use disorder services, to assure that all services will be accessible to enrollees without unreasonable delay. (Disaster Med Public Health Preparedness. 2018;12:455–459)

scholarly journals Socioeconomic and Demographic Factors Are Associated with Worldwide Patterns of Stunting and Wasting of Children

1997 ◽  
Vol 127 (12) ◽  
pp. 2302-2309 ◽  
Author(s):  
Edward A. Frongillo ◽  
Mercedes de Onis ◽  
Kathleen M. P. Hanson
Keyword(s):  
Demographic Factors ◽  
Socioeconomic And Demographic Factors

scholarly journals Twinning Rates in Uruguay Between 1999 and 2015: Association with Socioeconomic and Demographic Factors

2019 ◽  
Vol 22 (1) ◽  
pp. 56-61 ◽  
Author(s):  
Noelia Gómez ◽  
Andrés Sosa ◽  
Sylvia Corte ◽  
Emma Otta
Keyword(s):  
Educational Level ◽  
Demographic Factors ◽  
The Other ◽  
Random Pattern ◽  
Economic Data ◽  
Increasing Trend ◽  
R Project ◽  
Birth Data ◽  
Mother's Educational Level ◽  
Socioeconomic And Demographic Factors

AbstractTwinning is rare among humans, but there is much variability among populations. Several studies show that certain demographic and socioeconomic factors, such as maternal age, mother’s educational level and income, influence twinning rate. There is no background of analytical studies of twins in Uruguay. To the best of our knowledge, this is the first study that has focused on describing and analyzing Uruguayan twinning rates over a period of 17 years (1999–2015). The birth data were collected from the website of Uruguay’s Ministry of Public Health. Economic data were obtained from Uruguay’s Instituto Nacional de Estadísti’s website for the period 2001–2013, since these variables are defined specifically for that period of time. The statistical software R (The R Project for Statistical Computing) was used. The twinning rate varied from 8.51 to 13 in the studied period. Montevideo has the highest median and the smallest variability in comparison with the other departments. In Uruguay (1999–2015), the highest twinning rate (28.94%) was observed in women aged 45 and older. The analysis also showed a relationship between twin birth rates and the mother’s educational level. In three regions of the country (West, Center and East), twin births show a random pattern but in the other two (North and Metropolitan), there is an increasing trend in the number of twins over time. In conclusion, this study recognizes social, economic and demographic factors that influence in the rate of twin births in Uruguay.

Is the Mediterranean Diet for all? An analysis of socioeconomic inequalities and food consumption in Italy

2019 ◽  
Vol 121 (6) ◽  
pp. 1327-1341 ◽  
Author(s):  
Alessia Cavaliere ◽  
Elisa De Marchi ◽  
Franco Donzelli ◽  
Alessandro Banterle
Keyword(s):  
Mediterranean Diet ◽  
Demographic Factors ◽  
Household Survey ◽  
Italian Population ◽  
Content Type ◽  
Main Food ◽  
Consumption Frequency ◽  
Relevant Role ◽  
The Mediterranean ◽  
Socioeconomic And Demographic Factors

Purpose The purpose of this paper is twofold: first, to investigate the role of the main socioeconomic and demographic factors in affecting the consumption frequency of specific food categories with a view to highlighting differences across population segments. Second, to analyze whether socioeconomic status (SES) is ultimately related to the overall level of adherence to the Mediterranean Diet (MD) of the Italian population. Design/methodology/approach Data were obtained from the Italian Household Survey covering about 36.000 individuals (18 years old and older). The Household Survey includes questions aimed at eliciting the consumption frequency of the main food items of the MD pyramid. Moreover, to assess the degree of adherence to the MD, the authors constructed an index (MDI) aimed at reflecting how much individuals follow the MD pyramid recommendations. Findings The results show that both socioeconomic and demographic factors play a relevant role in affecting the consumption frequency of the main food categories of the MD pyramid. More affluent people consume fish, fruit and vegeFis, wine and beer more frequently than their poorer counterparts. Moreover, higher income is associated with the lower consumption of meat and eggs, dairy products, cereals and starchy vegetables as well as legumes. Originality/value The results foster the debate on how to guarantee healthy food accessibility to all population segments, thus having relevant implications in terms of food and health policies. The issue of MD adherence in Italy and its relationship with SES has been previously investigated on the basis of regional data, which make it difficult to extend the results to larger contexts, particularly in a country like Italy with remarkable socioeconomic differences between northern and southern regions.

scholarly journals Socioeconomic and Demographic Factors for Spousal Resemblance in Obesity Status and Habitual Physical Activity in the United States

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Hsin-Jen Chen ◽  
Yinghui Liu ◽  
Youfa Wang
Keyword(s):  
Physical Activity ◽  
Weight Status ◽  
Medical Expenditure Panel Survey ◽  
Demographic Factors ◽  
Married Couples ◽  
The United States ◽  
Habitual Physical Activity ◽  
Medical Expenditure ◽  
Increased Risk ◽  
Socioeconomic And Demographic Factors

Studies suggested that the married population has an increased risk of obesity and assimilation between spouses’ body weight. We examined what factors may affect married spouses’ resemblance in weight status and habitual physical activity (HPA) and the association of obesity/HPA with spouses’ sociodemoeconomic characteristics and lifestyles. Medical Expenditure Panel Survey data of 11,403 adult married couples in the US during years 2006–2008 were used. Absolute-scale difference and relative-scale resemblance indices (correlation and kappa coefficients) in body mass index (BMI) and HPA were estimated by couples’ socioeconomic and demographic characteristics. We found that spousal difference in BMI was smaller for couples with a lower household income, for who were both unemployed, and for older spouses. Correlation coefficient between spouses’ BMI was 0.24, differing by race/ethnicity and family size. Kappa coefficient for weight status (obesity: BMI ≥ 30, overweight: 30 > BMI ≥ 25) was 0.11 and 0.35 for HPA. Never-working women’s husbands had lower odds of obesity than employed women’s husbands (OR = 0.69 (95% CI = 0.53–0.89)). Men’s unemployment status was associated with wives’ greater odds of obesity (OR = 1.31 (95% CI = 1.01–1.71)). HPA was associated with men’s employment status and income level, but not with women’s. The population representative survey showed that spousal resemblance in weight status and HPA varied with socioeconomic and demographic factors.

scholarly journals A pilot study exploring the relationship between urban greenspace accessibility and mental health prevalence in the City of San Diego in the context of socioeconomic and demographic factors

Open Health ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 50-70
Author(s):  
Alexis Wilderman ◽  
Marcus Lam ◽  
Zhi-Yong Yin
Keyword(s):  
Mental Health ◽  
Regression Analysis ◽  
San Diego ◽  
Demographic Factors ◽  
Tree Cover ◽  
Health Prevention ◽  
Urban Greenspace ◽  
Race Ethnicity ◽  
Socioeconomic And Demographic Factors ◽  
The City

Abstract The connection between urban greenspace and mental health is a robust but unsettled area of research in the public health and urban planning literatures. Inconsistent findings in prior studies are mostly due to differences in greenspace measurements and interrelations with socio-demographic factors. This study examines the relationships of mental health prevalence (MHP) with health prevention, socioeconomic and race-ethnicity factors, and proximity to greenspace at the census-tract level in the City of San Diego, California, using data from the CDC 500 Cities Project and US Census Bureau. We considered three greenspace proximity measures: distances to specified vegetation types, parks, and tree cover. Spear-man’s rank correlation showed that MHP was significantly correlated to distances to greenspace (rho = 0.480), parks (rho = 0.234), and tree cover (rho = 0.342), and greenspace proximity plus crime occurrence explained 37.8% of the variance in MHP in regression analysis. Further analysis revealed that socioeconomic status, race-ethnicity, and health prevention explained more than 93% of the variance in MHP, while greenspace proximity did not enter the regression model with statistical significance. We discovered that certain socioeconomic and race-ethnicity variables, such as proportion of Hispanic population, poverty, and regular checkup, may fully represent the effects of greenspace on MHP in the City of San Diego. Regression analysis for three subsections of the city suggested that different predictors of MHP should be considered in formulating intervention measures. Our results indicate the need to improve mental health conditions through a range of interventions that address the disparities experienced by racial-ethnic minorities and those in lower-socioeconomic classes.

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