scholarly journals 0980 Differences in Disturbed Sleep between Immigrants and Non-Immigrants in Switzerland attributed to Emotional Distress: Analysis of the Swiss Health Survey

SLEEP ◽  
2018 ◽  
Vol 41 (suppl_1) ◽  
pp. A363-A364
Author(s):  
A Schneeberger ◽  
A Seixas ◽  
N Schweinfurth ◽  
U Lang ◽  
C Cajochen ◽  
...  
Author(s):  
Andres Schneeberger ◽  
Azizi Seixas ◽  
Nina Schweinfurth ◽  
Undine Lang ◽  
Christian Cajochen ◽  
...  

Migration can be a stressful experience and may lead to poor health and behavioral changes. The immigrant population in Switzerland is disproportionately burdened by several negative health outcomes, chief among these is mental health issues. The aim of the study was to investigate whether sleep disturbances are more prevalent among immigrants compared to non-immigrants and whether emotional distress might explain sleep differences. Based on the Swiss Health Survey 2012 dataset, we analyzed the data of 17,968 people, of which 3406 respondents were immigrants. We examined variables including insomnia symptoms, emotional distress and clinical and socio-demographic data using unadjusted and adjusted generalized linear models. Compared to non-immigrants, immigrants suffer significantly more often from insomnia symptoms. Immigrants also endured higher levels of emotional distress. Higher values of emotional distress are related to other symptoms of sleep disorders. Immigrants with emotional distress were at significant risk of sleep disturbances. Sleep disparities between immigrants and non-immigrants may be influenced by emotional distress. Migration health care should address emotional distress, a more proximal and modifiable factor, as a possible cause of insomnia symptoms in immigrants.


PLoS ONE ◽  
2015 ◽  
Vol 10 (10) ◽  
pp. e0141985 ◽  
Author(s):  
Sabine D. Klein ◽  
Loredana Torchetti ◽  
Martin Frei-Erb ◽  
Ursula Wolf

2017 ◽  
Vol 28 (04) ◽  
pp. 427-435 ◽  
Author(s):  
D. Richter ◽  
H. Hoffmann

Aims.People with severe mental illness (SMI) have a high risk of living socially excluded from the mainstream society. Policy initiatives and health systems aim to improve the social situation of people who suffer from mental health disabilities. The aim of this study was to explore the extent of social exclusion (employment and income, social network and social activities, health problems) of people with SMI in Switzerland.Methods.Data from the Swiss Health Survey 2012 were used to compare the social exclusion magnitude of people with SMI with those suffering from severe physical illness, common mental illness and the general population.Results.With the exception of Instrumental Activities of Daily Living, we found a gradient of social exclusion that showed people with SMI to be more excluded than the comparison groups. Loneliness and poverty were widespread among people with SMI. Logistic regression analyses on each individual exclusion indicator revealed that people with SMI and people with severe physical illness were similarly excluded on many indicators, whereas people with common mental illness and the general population were much more socially included.Conclusions.In contrast to political and health system goals, many people with SMI suffer from social exclusion. Social policy and clinical support should increase the efforts to counter exclusionary trends, especially in terms of loneliness and poverty.


2020 ◽  
Author(s):  
Kathrin Zürcher ◽  
Marcel Zwahlen ◽  
Claudia Berlin ◽  
Matthias Egger ◽  
Lukas Fenner

AbstractObjectivesWe studied time trends in seasonal influenza vaccination and associations with socioeconomic and health-related determinants in Switzerland, overall and in people aged ≥ 65 years.DesignThree cross-sectional surveys.ParticipantsIndividuals who participated in the Swiss Health Surveys 2007, 2012, and 2017. We calculated the proportion reporting influenza vaccination in the last 12 months, and performed multivariable logistic regression analyses.ResultsThe proportion of reporting a history of influenza vaccination overall was 31.9% (95% confidence intervals [95% CI] 31.4–32.4); and dropped from 34.5% in 2007 to 28.8% in 2017. The uptake of vaccination within the past 12 months was 16% in 2007 and similar in 2012 and 2017 (around 14%). In people with chronic disease, uptake dropped from 43.8% in 2007 to 37.1% in 2012 and to 31.6% in 2017 (p<0.001). In people aged ≥ 65 years, uptake dropped from 47.8% in 2007 to 38.5% in 2012 to 36.2% in 2017 (p<0.001). Similarly, a decrease in vaccine uptake was seen in people with poor self-reported health status (39.4%, 33.1%, and 27.0%). In logistic regression, self-reported vaccination coverage decreased in the 65 to 75 years old (adjusted odds ratio (aOR) aOR 0.56, 95% Cl 0.48–0.66 between 2007 and 2012; aOR 0.89, 95% CI 0.77–1.03). Uptake was positively associated with the ≥ 65 age group, living in French-speaking and urban areas, history of smoking, bad self-reported health status, private/semiprivate health insurance, having a medical profession, and having any underlying chronic disease. Use of any alternative medicine therapy was negatively associated with influenza vaccination (aOR 0.72, 95% CI 0.67–0.80).ConclusionInfluenza vaccination coverage was low in older and chronically ill persons. Significant efforts are required in preparing for the flu season 2020/21 to reduce the double burden of COVID-19 and seasonal influenza. These efforts should include campaigns but also novel approaches using social media.Strengths and limitations of this studyData analysis of the Swiss Health Survey 2007, 2012, and 2017 focussing on influenza vaccine uptake overall and in the age group ≥65 years in Switzerland.The Swiss Health Survey is a nationwide, representative survey that is repeated every five years using the same methodology.Analyses were weighted and adjusted for a wide range of important cofactors.We calculated percent of people reporting having been vaccinated and associations between vaccination status and socio-demographic and health-related factors.Influenza vaccination status is self-reported in the Swiss Health Survey and the reliability of the data not ascertained.


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