scholarly journals P2-516 Educational level and occupational social class and the incidence of life-style related chronic diseases in the European prospective investigation into cancer and nutrition (EPIC)-Potsdam Study

2011 ◽  
Vol 65 (Suppl 1) ◽  
pp. A363-A364
Author(s):  
A.-K. Illner ◽  
U. Noethlings ◽  
M. Bergmann ◽  
H. Boeing
Keyword(s):  
Social Class ◽  
Chronic Diseases ◽  
Educational Level ◽  
Life Style ◽  
Occupational Social Class ◽  
Prospective Investigation

scholarly journals A medicalized hotel as a public health resource for the containment of Covid-19: more than a place for quarantining

2020 ◽  
Author(s):  
K L Ramírez-Cervantes ◽  
V Romero-Pardo ◽  
C Pérez-Tovar ◽  
G Martínez-Alés ◽  
M Quintana-Diaz
Keyword(s):  
Public Health ◽  
Social Class ◽  
Educational Level ◽  
Household Income ◽  
Health Resource ◽  
Migrant Status ◽  
Tertiary Referral ◽  
Tertiary Referral Hospital ◽  
Monthly Household Income ◽  
Occupational Social Class

ABSTRACT Background To describe the implementation of a medicalized hotel in the community of Madrid as a public health resource for the containment of coronavirus disease (COVID-19) and to describe the characteristics of population benefitted. Methods A descriptive study of the implementation of the Via Castellana Medicalised Hotel (VCMH) was conducted. The average monthly household income, educational level and occupational social class of the subjects admitted were obtained through a survey conducted during their stay. Results There was no guidance for launching; however the hotel was coordinated by a tertiary referral hospital and attended the preventive medicine regulations and the decrees of legal regimes and authorization of health services in Madrid. Between 19 March and the 9 May 2020, 399 patients were admitted; 59% (235) were migrant; the main reason for referral (58%) was a lack of house conditions for quarantining, including overcrowding, which when compared with the migrant status a positive correlation was found. Some other reasons for referral were homelessness and eviction. Most of the survey participants had low monthly household income, educational level and social class. Conclusions This medicalized hotel provided medical care and offered housing to a subgroup of vulnerable population who could not afford a safe quarantine.

scholarly journals Minority status and mental distress: a comparison of group density effects

2016 ◽  
Vol 46 (14) ◽  
pp. 3051-3059 ◽  
Author(s):  
P. Schofield ◽  
J. Das-Munshi ◽  
L. Bécares ◽  
C. Morgan ◽  
V. Bhavsar ◽  
...  
Keyword(s):  
Social Class ◽  
Mental Disorders ◽  
Ethnic Group ◽  
Mental Distress ◽  
Attempted Suicide ◽  
Common Mental Disorders ◽  
Individual Characteristics ◽  
Minority Status ◽  
Psychotic Experiences ◽  
Occupational Social Class

BackgroundIt has been observed that mental disorders, such as psychosis, are more common for people in some ethnic groups in areas where their ethnic group is less common. We set out to test whether this ethnic density effect reflects minority status in general, by looking at three situations where individual characteristics differ from what is usual in a locality.MethodUsing data from the South East London Community Health study (n = 1698) we investigated associations between minority status (defined by: ethnicity, household status and occupational social class) and risk of psychotic experiences, common mental disorders and parasuicide. We used a multilevel logistic model to examine cross-level interactions between minority status at individual and neighbourhood levels.ResultsBeing Black in an area where this was less common (10%) was associated with higher odds of psychotic experiences [odds ratio (OR) 1.34 95% confidence interval (CI) 1.07–1.67], and attempted suicide (OR 1.84 95% CI 1.19–2.85). Living alone where this was less usual (10% less) was associated with increased odds of psychotic experiences (OR 2.18 95% CI 0.91–5.26), while being in a disadvantaged social class where this was less usual (10% less) was associated with increased odds of attempted suicide (OR 1.33 95% CI 1.03–1.71). We found no evidence for an association with common mental disorders.ConclusionsThe relationship between minority status and mental distress was most apparent when defined in terms of broad ethnic group but was also observed for individual household status and occupational social class.

scholarly journals Association between area-level education and the co-occurrence of behavior-related risk factors: a multilevel analysis

2019 ◽  
Vol 22 ◽  
Author(s):  
Antonio Fernando Boing ◽  
SV Subramanian ◽  
Alexandra Crispim Boing
Keyword(s):  
Risk Factors ◽  
Chronic Diseases ◽  
Educational Level ◽  
Physical Inactivity ◽  
Eating Habits ◽  
Significant Proportion ◽  
Simultaneous Occurrence ◽  
Cross Sectional ◽  
Individual Level ◽  
Unhealthy Eating

ABSTRACT: Introduction: This study aimed to investigate the association of four different risk factors for chronic diseases and accumulation of these health behaviors with area-level education, regardless of individual-level characteristics in Brazil. Methods: A population-based cross-sectional study was carried out in Southern Brazil including 1,720 adults in 2009/2010. The simultaneous occurrence of tobacco smoking, abusive drinking, unhealthy eating habits, and physical inactivity was investigated. Using multilevel models, we tested whether area-level education was associated with each risk factor and with the co-occurrence of them after controlling sociodemographic individual-level variables. Results: We observed a between-group variance of 7.79, 7.11, 6.84 and 1.08% for physical inactivity, problematic use of alcohol, unhealthy eating habits, and smoking, respectively. The between-group variance for the combination of four behaviors was 14.2%. Area-level education explained a significant proportion of the variance observed in physical inactivity and unhealthy eating habits. Residents of low educational level neighborhoods showed a 2.40 (95%CI 1.58 - 3.66) times higher chance of unhealthy eating and 1.78 (95%CI 1.19 - 2.67) times higher chance of physical inactivity. The likelihood of individuals with two or three/four risk factors was simultaneously higher among residents of low educational level neighborhoods. Conclusion: Public policies should consider the area-level characteristics, including education to control risk factors for chronic diseases.

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