André Hajek, Thomas Lehnert, Annette Ernst, Carolin Lange, Birgitt Wiese, Jana Prokein, Siegfried Weyerer, Jochen Werle, Michael Pentzek, Angela Fuchs, Tobias Luck, Horst Bickel, Edelgard Mösch, Kathrin Heser, Michael Wagner, Wolfgang Maier, Martin Scherer, Steffi G Riedel-Heller, Hans-Helmut König
Prevalence and determinants of overweight and obesity in old age in Germany
BMC geriatrics
study explores intricate relationship unemployment rates emotional responses among chinese university graduates analyzing factors correlate specific linguistic features popular social media platform sina weibo goal uncover patterns elucidate psychological emotional dimensions unemployment challenges among demographic analysis utilized dataset 30540 sina weibo posts containing specific keywords related unemployment anxiety collected january 2019 june 2023 posts preprocessed eliminate noise refine data quality linear regression textual analyses employed identify correlations unemployment rates individuals aged 1624 linguistic characteristics posts study found significant fluctuations urban youth unemployment rates peaking 213 june 2023 corresponding increase anxietyrelated expressions noted social media posts peak expressions aligning high unemployment rates linguistic analysis revealed category affect showed strong positive correlation unemployment rates indicating increased emotional expression alongside rising unemployment categories negative emotion sadness also showed significant correlations highlighting robust relationship economic challenges emotional distress findings underscore profound impact unemployment emotional wellbeing university students suggesting economic hardships closely linked psychological stress heightened negative emotions study contributes holistic understanding socioeconomic challenges faced young adults advocating comprehensive support systems address economic psychological facets unemployment