scholarly journals Sociodemographic characteristics and probabilities for the labor inclusion of people with disabilities in Chile. Implications for critical social policies

Author(s):  
Carlos Andrade Guzman ◽  
Javier Reyes Martínez ◽  
Lorena Valencia Gálvez

In Chile, labor inclusion for people in the situation of disability is low. By using the Second National Survey of Disability in Chile and running a logistic regression model (N=2,618), this study explores how sex, education, age, and level of functional dependency are associated with the probability of people in the situation of disability of having work. Findings suggest that being a woman with a disability or being older reduces the probability of having work. Besides, having more years of education increases the probability of it. Implications for critical social policies are also discussed.

2018 ◽  
Vol 41 (4) ◽  
pp. 707-713 ◽  
Author(s):  
Allison Milner ◽  
Anne-Marie Bollier ◽  
Eric Emerson ◽  
Anne Kavanagh

Abstract Background People with disabilities often face a range of social and economic adversities. Evidence suggests that these disadvantages result in poorer mental health. Some research also indicates that people with disabilities are more likely experience thoughts about suicide than people without disability, although most of this research is based on small cross-sectional samples. Methods We explored the relationship between self-reported disability (measured at baseline) and likelihood of reporting thoughts of suicide (measured at follow up) using a large longitudinal cohort of Australian males. A logistic regression model was conducted with thoughts of suicide within the past 12 months (yes or no) as the outcome and disability as the exposure. The models adjusted for relevant confounders, including mental health using the SF-12 MCS, and excluded males who reported thoughts of suicide at baseline. Results After adjustment, there was a 1.48 (95% CI: 0.98–2.23, P = 0.063) increase in the odds of thoughts of suicide among men who also reported a disability. The size of association was similar to that of being unemployed. Conclusions Males reporting disability may also suffer from thoughts of suicide. We speculate that discrimination may be one explanation for the observed association. More research on this topic is needed.


2018 ◽  
Vol 120 (5) ◽  
pp. 1015-1027 ◽  
Author(s):  
Paweł Bryła

Purpose The purpose of this paper is to analyse selected characteristics, attitudes and opinions of organic food e-consumers (online shoppers) in Poland. Design/methodology/approach A survey was conducted among 1,000 inhabitants of Poland aged 15-65. The sample resembled the general population, regarding: age, sex, education and the size of the city of origin. In total, 63 respondents reported buying organic food online. This segment was compared with the rest of the sample with the use of two-tailed t-tests. A logistic regression model was applied to identify the determinants of organic food online shopping in Poland. Findings In a logistic regression model, age, income, willingness to pay (WTP) a premium price for organic food, importance attached to product appearance and to quality signs turned out to be statistically significant determinants of online shopping behaviour for organic food in Poland. Higher income, importance attached to quality signs and higher WTP increase the likelihood of being an organic e-consumer, while higher age and importance attached to product appearance decrease it. Research limitations/implications First, some determinants of organic online shopping have been identified. Second, this study has provided some frameworks to analyse organic food selection motives, barriers to the development of the market, food authenticity assessment criteria, distribution channels, and product characteristics. Practical implications The findings may be useful for the industry due to the identification of the role of quality signs in online food purchases and of the importance of selected organic food consumption motives. Originality/value To the best of the author’s knowledge, this is the first study of organic food online shopping in Poland.


2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
J Matos ◽  
C Matias Dias ◽  
A Félix

Abstract Background Studies on the impact of patients with multimorbidity in the absence of work indicate that the number and type of chronic diseases may increase absenteeism and that the risk of absence from work is higher in people with two or more chronic diseases. This study analyzed the association between multimorbidity and greater frequency and duration of work absence in the portuguese population between the ages of 25 and 65 during 2015. Methods This is an epidemiological, observational, cross-sectional study with an analytical component that has its source of information from the 1st National Health Examination Survey. The study analyzed univariate, bivariate and multivariate variables under study. A multivariate logistic regression model was constructed. Results The prevalence of absenteeism was 55,1%. Education showed an association with absence of work (p = 0,0157), as well as professional activity (p = 0,0086). It wasn't possible to verify association between the presence of chronic diseases (p = 0,9358) or the presence of multimorbidity (p = 0,4309) with absence of work. The prevalence of multimorbidity was 31,8%. There was association between age (p < 0,0001), education (p < 0,001) and yield (p = 0,0009) and multimorbidity. There is no increase in the number of days of absence from work due to the increase in the number of chronic diseases. In the optimized logistic regression model the only variables that demonstrated association with the variable labor absence were age (p = 0,0391) and education (0,0089). Conclusions The scientific evidence generated will contribute to the current discussion on the need for the health and social security system to develop policies to patients with multimorbidity. Key messages The prevalence of absenteeism and multimorbidity in Portugal was respectively 55,1% and 31,8%. In the optimized model age and education demonstrated association with the variable labor absence.


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