scholarly journals A Comparison of the Number of Men Who Have Sex with Men among Rural-To-Urban Migrants with Non-Migrant Rural and Urban Residents in Wuhan, China: A GIS/GPS-Assisted Random Sample Survey Study

PLoS ONE ◽  
2015 ◽  
Vol 10 (8) ◽  
pp. e0134712 ◽  
Author(s):  
Xinguang Chen ◽  
Bin Yu ◽  
Dunjin Zhou ◽  
Wang Zhou ◽  
Jie Gong ◽  
...  
Keyword(s):  
Random Sample ◽  
Sample Survey ◽  
Survey Study ◽  
Urban Residents ◽  
Rural And Urban ◽  
Urban Migrants ◽  
Sex With Men

Are suicidal behaviors more prevalent among rural-to-urban migrants than non-migrant rural and urban residents in Wuhan, China? –Evidence from a GIS/GPS-assisted probability sample

2020 ◽  
Author(s):  
Bin Yu ◽  
Xinguang Chen
Keyword(s):  
Suicidal Ideation ◽  
Prevalence Rate ◽  
Estimation Method ◽  
Urban Residents ◽  
Suicidal Behaviors ◽  
Rural Migrants ◽  
Probability Sample ◽  
Rural And Urban ◽  
Urban Migrants ◽  
Increased Risk

Abstract Background There is a lack of solid data on suicide among rural-to-urban migrants in China, a large and rapid growing population currently totaling 280 million. The study aims to investigate whether suicidal behaviors are more prevalent among the rural migrants than the non-migrant rural and urban residents. Methods Data from a probability sample (N=3951, 32.65% rural-to-urban migrants) were analyzed. The sample was selected in Wuhan, China using the GIS/GPS-assisted multistage probability sampling method. Suicidal ideation and attempt in the past year were measured. Prevalence rate [95% CI] was calculated using survey estimation method, considering the sampling design with sample clusters, disproportionate probabilities, and weights. Adjusted odds ratio (AOR) [95% CI] was used to compare the difference of rural migrants with rural and urban residents in suicidal behaviors controlling for covariates. Results Among rural migrants, 5.74% [4.81, 6.68] reported having suicidal ideation, compared to 4.74% [3.07, 6.42] and 3.65% [2.64, 4.65] for rural and urban residents, respectively. The migrant-urban resident difference was significant with AOR =1.93 [1.26, 2.94] while the migrant-rural resident difference was not with AOR= 0.87 [0.46, 1.67]. The prevalence rate of suicidal attempt was 5.47% [4.57, 6.36] for rural migrants, significantly higher than 1.14% [0.43, 1.85] for rural residents with AOR=2.89 [1.12, 7.43]; and 2.01% [1.21, 2.82] for urban residents with AOR =3.97 [2.15, 7.34]. Conclusions Rural migrants are at higher risks for suicide comparing to rural and urban residents. Additional research is needed to examine factors related to the increased risk of suicidal behaviors among rural migrants in China.

INFLUENCE OF WEATHER ON TEMPORARY AND PERMANENT MIGRATION IN RURAL INDIA

2013 ◽  
Vol 04 (02) ◽  
pp. 1350007 ◽  
Author(s):  
K. S. KAVI KUMAR ◽  
BRINDA VISWANATHAN
Keyword(s):  
National Sample ◽  
Sample Survey ◽  
Urban Migration ◽  
Temporary Migration ◽  
Urban Migrants ◽  
Wide Range ◽  
Permanent Migration ◽  
Sample Survey Data ◽  
Almost All ◽  
Temporary Migrants

While a wide range of factors influence rural–rural and rural–urban migration in developing countries, there is significant interest in analyzing the role of agricultural distress and growing inter-regional differences in fueling such movement. This strand of research acquires importance in the context of climate change adaptation. In the Indian context, this analysis gets further complicated due to the significant presence of temporary migration. This paper analyzes how weather and its variability affects both temporary and permanent migration in India using National Sample Survey data for the year 2007–2008. The paper finds that almost all of the rural–urban migrants are permanent. Only temperature plays a role in permanent migration. In contrast, many temporary migrants are rural–rural and both temperature and rainfall explain temporary migration.

scholarly journals Conspiracy Theories and Their Societal Effects During the COVID-19 Pandemic

2021 ◽  
pp. 194855062110002
Author(s):  
Lotte Pummerer ◽  
Robert Böhm ◽  
Lau Lilleholt ◽  
Kevin Winter ◽  
Ingo Zettler ◽  
...  
Keyword(s):  
Longitudinal Study ◽  
Random Sample ◽  
Social Engagement ◽  
Risk Groups ◽  
Conspiracy Theory ◽  
Sample Survey ◽  
Institutional Trust ◽  
Conspiracy Theories ◽  
The Media ◽  
And Behavior

During COVID-19, conspiracy theories were intensely discussed in the media. Generally, both believing in conspiracy theories (i.e., explanations for events based on powerholders’ secret arrangements) and being confronted with a conspiracy theory have been found to predict cognition and behavior with negative societal effects, such as low institutional trust. Accordingly, believing in conspiracy theories around COVID-19 should reduce institutional trust, support of governmental regulations and their adoption, and social engagement (e.g., helping members of risk groups). We tested these predictions in a national random sample survey, an experiment, and a longitudinal study ( N total = 1,213; all studies were preregistered). Indeed, believing in and being confronted with a COVID-19 conspiracy theory decreased institutional trust, support of governmental regulations, adoption of physical distancing, and—to some extent—social engagement. Findings underscore the severe societal effects of conspiracy theories in the context of COVID-19.

scholarly journals National sample survey organization survey report: An estimation of prevalence of mental illness and its association with age in India

2015 ◽  
Vol 6 (01) ◽  
pp. 051-054 ◽  
Author(s):  
Ram Lakhan ◽  
Olúgbémiga T. Ekúndayò
Keyword(s):  
Mental Illness ◽  
Prevalence Rate ◽  
Large Population ◽  
National Sample ◽  
Epidemiological Studies ◽  
Sample Survey ◽  
Rural Setting ◽  
National Sample Survey ◽  
Rural And Urban ◽  
National Sample Survey Organization

ABSTRACT Background: The Indian population suffers with significant burden of mental illness. The prevalence rate and its association with age and other demographic indicators are needed for planning purpose. Objective: This study attempted to calculate age-wise prevalence of mental illness for rural and urban settings, and its association with age. Materials and Methods: Data published in National Sample Survey Organization (2002) report on disability is used for the analysis. Spearman correlation for strength of association, z-test for difference in prevalence, and regression statistics for predicting the prevalence rate of mental illness are used. Result: Overall population have 14.9/1000 prevalence of mental illness. It is higher in rural setting 17.1/1000 than urban 12.7/1000 (P < 0.001). There is a strong correlation found with age in rural (ϱ = 0.910, P = 0.001) and urban (ϱ = 0.940, P = 0.001). Conclusion: Results of this study confirm other epidemiological research in India. Large-population epidemiological studies are recommended.

scholarly journals The Evolution of Educational Inequality between Rural and Urban Residents in China: A Cohort Analysis

2020 ◽  
Author(s):  
Yifei Lu
Keyword(s):  
Social Stratification ◽  
Structural Changes ◽  
Educational Inequality ◽  
Cohort Analysis ◽  
Social Groups ◽  
Urban Residents ◽  
Institutional Discrimination ◽  
Class Differences ◽  
Rural And Urban ◽  
Main Driver

<p>This study focuses on how social reform and social changes affect the educational inequality between social groups, specifically the rural and urban Chinese. Existing sociology theories address the class difference drives educational inequality, and treat social group differences as a byproduct of class differences. By analyzing the evolution and components of the educational gap between rural and urban residents in China, this study found that the main driver of the educational gap between rural and urban residents varies in different historical periods. In the low social stratification period, if the effect of institutional discrimination is small, the educational gap is small; in the high social stratification period with more significant institutional discrimination, the inferior rural residents are double jeopardized. These results imply the educational inequality between social groups is driven by both structural changes and discriminatory policies, but if institutional discrimination is the main driver, policies aim to reduce the structural inequality will have little effect on reducing inequality.</p>

scholarly journals Primary caregivers attitude towards patients with mental illness: a survey study in psychiatric centre, SMS medical college, Jaipur, Rajasthan, India

2021 ◽  
Author(s):  
Tulika Sharma ◽  
Paramjeet Singh ◽  
Himanshu Phulwari
Keyword(s):  
Mental Illness ◽  
Urban Areas ◽  
Primary Caregivers ◽  
Personal Data ◽  
Survey Study ◽  
P Value ◽  
Medical College ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
Significant Difference

The purpose of the present study was to find out the attitudes of primary caregivers towards mental illness. The hypothesis was “there would be a significant difference in the attitude of primary caregivers towards mental illness by people belonging to rural and urban areas.” The sample consists of 50 subjects (25 females and 25 males out of it, 25 were from the rural population &amp; 25 were from the urban population). The age group consists of the participants was from 18 years to 65 years, and their education qualification was not an obligation. Personal data consist of demographic information was also collected. The scale “The Community Attitudes Towards Mental Illness scale (CAMI)” was developed by Taylor and Dear in 1981, was used to assess the attitude towards mental illness of the subjects. For statistical analysis, correlation and student t-test were used for the p-value and to found the differences in the attitudes of primary caregivers. The results showed variances in the primary caregivers’ attitudes between the rural area and the urban area.

Sign in / Sign up

Export Citation Format

Share Document