English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Aim I examined health/morbidity profiles across 20 countries, determined their associated demographic characteristics and risk factors and compared the distribution of these health/morbidity profiles across countries. Subject and methods I used population-based data drawn from the European Social Survey ( N  = 20092, 52% female, ages 40+) covering 20 mostly European countries (Austria, Belgium, Czechia, Denmark, Finland, France, Germany, Great Britain, Hungary, Ireland, Israel, Lithuania, Netherlands, Norway, Poland, Portugal, Slovenia, Spain, Sweden and Switzerland) from 2014. Diverse indicators of health/morbidity were used, including self-rated health, self-rated disability, self-reported health problems and mental health symptoms using the CES-D. Latent class analysis was conducted to determine health/morbidity profiles across countries. Results I found that four distinct health profiles best describe overall health/morbidity status in the international sample, each associated with specific demographic and behavioural risk factors: ‘healthy’ profile (62% of participants), ‘unhappy but healthy’ profile (14%), ‘high morbidity, mostly physical’ profile (16%) and ‘high morbidity, mostly psychological’ profile (8%). With few exceptions, participants from Northern Europe and Western Europe were more likely to belong to the ‘healthy’ and the ‘unhappy but healthy’ profiles, whereas participants from Eastern Europe were more likely to belong to the ‘high morbidity, mostly physical’ profile. Distribution of the ‘high morbidity, mostly psychological’ profile appeared to be more uniform across regions. Conclusions Distinct morbidity/health profiles could be identified across countries, and countries varied regarding the relative distribution of these profiles. Specific prevention and treatment consequences associated with each profile are discussed. Future studies should further investigate the patterns of overall health and morbidity in Europe’s populations.

zeitschrift für gesundheitswissenschaften/journal of public health

Morbidity profiles in Europe and Israel: international comparisons from 20 countries using biopsychosocial indicators of health via latent class analysis