TY - JOUR A1 - Beierle, Felix A1 - Pryss, Rüdiger A1 - Aizawa, Akiko T1 - Sentiments about mental health on Twitter — before and during the COVID-19 pandemic JF - Healthcare N2 - During the COVID-19 pandemic, the novel coronavirus had an impact not only on public health but also on the mental health of the population. Public sentiment on mental health and depression is often captured only in small, survey-based studies, while work based on Twitter data often only looks at the period during the pandemic and does not make comparisons with the pre-pandemic situation. We collected tweets that included the hashtags #MentalHealth and #Depression from before and during the pandemic (8.5 months each). We used LDA (Latent Dirichlet Allocation) for topic modeling and LIWC, VADER, and NRC for sentiment analysis. We used three machine-learning classifiers to seek evidence regarding an automatically detectable change in tweets before vs. during the pandemic: (1) based on TF-IDF values, (2) based on the values from the sentiment libraries, (3) based on tweet content (deep-learning BERT classifier). Topic modeling revealed that Twitter users who explicitly used the hashtags #Depression and especially #MentalHealth did so to raise awareness. We observed an overall positive sentiment, and in tough times such as during the COVID-19 pandemic, tweets with #MentalHealth were often associated with gratitude. Among the three classification approaches, the BERT classifier showed the best performance, with an accuracy of 81% for #MentalHealth and 79% for #Depression. Although the data may have come from users familiar with mental health, these findings can help gauge public sentiment on the topic. The combination of (1) sentiment analysis, (2) topic modeling, and (3) tweet classification with machine learning proved useful in gaining comprehensive insight into public sentiment and could be applied to other data sources and topics. KW - COVID-19 KW - coronavirus KW - public health KW - sentiment analysis KW - topic modeling KW - machine learning Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-355192 SN - 2227-9032 VL - 11 IS - 21 ER - TY - JOUR A1 - Herrmann, Johannes A1 - Müller, Kerstin A1 - Notz, Quirin A1 - Hübsch, Martha A1 - Haas, Kirsten A1 - Horn, Anna A1 - Schmidt, Julia A1 - Heuschmann, Peter A1 - Maschmann, Jens A1 - Frosch, Matthias A1 - Deckert, Jürgen A1 - Einsele, Hermann A1 - Ertl, Georg A1 - Frantz, Stefan A1 - Meybohm, Patrick A1 - Lotz, Christopher T1 - Prospective single-center study of health-related quality of life after COVID-19 in ICU and non-ICU patients JF - Scientific Reports N2 - Long-term sequelae in hospitalized Coronavirus Disease 2019 (COVID-19) patients may result in limited quality of life. The current study aimed to determine health-related quality of life (HRQoL) after COVID-19 hospitalization in non-intensive care unit (ICU) and ICU patients. This is a single-center study at the University Hospital of Wuerzburg, Germany. Patients eligible were hospitalized with COVID-19 between March 2020 and December 2020. Patients were interviewed 3 and 12 months after hospital discharge. Questionnaires included the European Quality of Life 5 Dimensions 5 Level (EQ-5D-5L), patient health questionnaire-9 (PHQ-9), the generalized anxiety disorder 7 scale (GAD-7), FACIT fatigue scale, perceived stress scale (PSS-10) and posttraumatic symptom scale 10 (PTSS-10). 85 patients were included in the study. The EQ5D-5L-Index significantly differed between non-ICU (0.78 ± 0.33 and 0.84 ± 0.23) and ICU (0.71 ± 0.27; 0.74 ± 0.2) patients after 3- and 12-months. Of non-ICU 87% and 80% of ICU survivors lived at home without support after 12 months. One-third of ICU and half of the non-ICU patients returned to work. A higher percentage of ICU patients was limited in their activities of daily living compared to non-ICU patients. Depression and fatigue were present in one fifth of the ICU patients. Stress levels remained high with only 24% of non-ICU and 3% of ICU patients (p = 0.0186) having low perceived stress. Posttraumatic symptoms were present in 5% of non-ICU and 10% of ICU patients. HRQoL is limited in COVID-19 ICU patients 3- and 12-months post COVID-19 hospitalization, with significantly less improvement at 12-months compared to non-ICU patients. Mental disorders were common highlighting the complexity of post-COVID-19 symptoms as well as the necessity to educate patients and primary care providers about monitoring mental well-being post COVID-19. KW - health care KW - public health KW - quality of life Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-357174 VL - 13 ER - TY - JOUR A1 - Bauer, Hannah A1 - Concha Mendoza, Gustavo Andrés A1 - Kreienbrock, Lothar A1 - Hartmann, Maria A1 - Frickmann, Hagen A1 - Kann, Simone T1 - Prevalence of common diseases in Indigenous people in Colombia JF - Tropical Medicine and Infectious Disease N2 - The Indigenous tribe called the Wiwa lives retracted in the Sierra Nevada de Santa Marta, Colombia. Little is known about their health status and whether the health care system in place covers their needs. In 2017 and 2018, a permanent physician was in charge for the Wiwa. Diseases and complaints were registered, ranked, and classified with the ICD-10 coding. Datasets from the Indigenous health care provider Dusakawi, collected from local health points and health brigades travelling sporadically into the fields for short visits, were compared. Furthermore, a list of provided medication was evaluated regarding the recorded needs. The most common complaints found were respiratory, infectious and parasitic, and digestive diseases. The top ten diagnoses collected in the health points and in the health brigade datasets were similar, although with a different ranking. The available medication showed a basic coverage only, with a critical lack of treatment for many severe, chronic, and life-threatening diseases. Most of the detected diseases in the Indigenous population are avoidable by an improvement in health care access, an expansion of the provided medication, and an increase in knowledge, hygiene, and life standards. KW - Chagas disease KW - indigenous KW - public health KW - Colombia KW - Sierra Nevada KW - neglected groups Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-278953 SN - 2414-6366 VL - 7 IS - 6 ER - TY - JOUR A1 - Krist, Lilian A1 - Dornquast, Christina A1 - Reinhold, Thomas A1 - Icke, Katja A1 - Danquah, Ina A1 - Willich, Stefan N. A1 - Becher, Heiko A1 - Keil, Thomas T1 - Predictors of changes in physical activity and sedentary behavior during the COVID-19 pandemic in a Turkish migrant cohort in Germany JF - International Journal of Environmental Research and Public Health N2 - The new coronavirus (COVID-19) pandemic and the resulting response measures have led to severe limitations of people's exercise possibilities with diminished physical activity (PA) and increased sedentary behavior (SB). Since for migrant groups in Germany, no data is available, this study aimed to investigate factors associated with changes in PA and SB in a sample of Turkish descent. Participants of a prospective cohort study (adults of Turkish descent, living in Berlin, Germany) completed a questionnaire regarding COVID-19 related topics including PA and SB since February 2020. Changes in PA and SB were described, and sociodemographic, migrant-related, and health-related predictors of PA decrease and SB increase were determined using multivariable regression analyses. Of 106 participants, 69% reported a decline of PA, 36% reported an increase in SB. PA decrease and SB increase seemed to be associated with inactivity before the pandemic as well as with the female sex. SB increase appeared to be additionally associated with educational level and BMI. The COVID-19 pandemic and the response measures had persistent detrimental effects on this migrant population. Since sufficient PA before the pandemic had the strongest association with maintaining PA and SB during the crisis, the German government and public health professionals should prioritize PA promotion in this vulnerable group. KW - physical activity KW - sedentary behavior KW - COVID-19 KW - migrants KW - public health Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-246176 SN - 1660-4601 VL - 18 IS - 18 ER - TY - JOUR A1 - Sogno, Patrick A1 - Traidl-Hoffmann, Claudia A1 - Kuenzer, Claudia T1 - Earth Observation data supporting non-communicable disease research: a review JF - Remote Sensing N2 - A disease is non-communicable when it is not transferred from one person to another. Typical examples include all types of cancer, diabetes, stroke, or allergies, as well as mental diseases. Non-communicable diseases have at least two things in common — environmental impact and chronicity. These diseases are often associated with reduced quality of life, a higher rate of premature deaths, and negative impacts on a countries' economy due to healthcare costs and missing work force. Additionally, they affect the individual's immune system, which increases susceptibility toward communicable diseases, such as the flu or other viral and bacterial infections. Thus, mitigating the effects of non-communicable diseases is one of the most pressing issues of modern medicine, healthcare, and governments in general. Apart from the predisposition toward such diseases (the genome), their occurrence is associated with environmental parameters that people are exposed to (the exposome). Exposure to stressors such as bad air or water quality, noise, extreme heat, or an overall unnatural surrounding all impact the susceptibility to non-communicable diseases. In the identification of such environmental parameters, geoinformation products derived from Earth Observation data acquired by satellites play an increasingly important role. In this paper, we present a review on the joint use of Earth Observation data and public health data for research on non-communicable diseases. We analyzed 146 articles from peer-reviewed journals (Impact Factor ≥ 2) from all over the world that included Earth Observation data and public health data for their assessments. Our results show that this field of synergistic geohealth analyses is still relatively young, with most studies published within the last five years and within national boundaries. While the contribution of Earth Observation, and especially remote sensing-derived geoinformation products on land surface dynamics is on the rise, there is still a huge potential for transdisciplinary integration into studies. We see the necessity for future research and advocate for the increased incorporation of thematically profound remote sensing products with high spatial and temporal resolution into the mapping of exposomes and thus the vulnerability and resilience assessment of a population regarding non-communicable diseases. KW - Earth Observation KW - land surface dynamics KW - atmosphere KW - exposure KW - geoanalysis KW - non-communicable disease KW - public health KW - remote sensing KW - review Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-211113 SN - 2072-4292 VL - 12 IS - 16 ER - TY - JOUR A1 - Rauch, S. A1 - Taubenböck, H. A1 - Knopp, C. A1 - Rauh, J. T1 - Risk and space: modelling the accessibility of stroke centers using day- & nighttime population distribution and different transportation scenarios JF - International Journal of Health Geographics N2 - Purpose Rapid accessibility of (intensive) medical care can make the difference between life and death. Initial care in case of strokes is highly dependent on the location of the patient and the traffic situation for supply vehicles. In this methodologically oriented paper we want to determine the inequivalence of the risks in this respect. Methods Using GIS we calculate the driving time between Stroke Units in the district of Münster, Germany for the population distribution at day- & nighttime. Eight different speed scenarios are considered. In order to gain the highest possible spatial resolution, we disaggregate reported population counts from administrative units with respect to a variety of factors onto building level. Results The overall accessibility of urban areas is better than in less urban districts using the base scenario. In that scenario 6.5% of the population at daytime and 6.8% at nighttime cannot be reached within a 30-min limit for the first care. Assuming a worse traffic situation, which is realistic at daytime, 18.1% of the population fail the proposed limit. Conclusions In general, we reveal inequivalence of the risks in case of a stroke depending on locations and times of the day. The ability to drive at high average speeds is a crucial factor in emergency care. Further important factors are the different population distribution at day and night and the locations of health care facilities. With the increasing centralization of hospital locations, rural residents in particular will face a worse accessibility situation. KW - accessibility analysis KW - high resolution population data KW - public health Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-261228 VL - 20 ER - TY - JOUR A1 - Pittig, Andre A1 - Heinig, Ingmar A1 - Goerigk, Stephan A1 - Thiel, Freya A1 - Hummel, Katrin A1 - Scholl, Lucie A1 - Deckert, Jürgen A1 - Pauli, Paul A1 - Domschke, Katharina A1 - Lueken, Ulrike A1 - Fydrich, Thomas A1 - Fehm, Lydia A1 - Plag, Jens A1 - Ströhle, Andreas A1 - Kircher, Tilo A1 - Straube, Benjamin A1 - Rief, Winfried A1 - Koelkebeck, Katja A1 - Arolt, Volker A1 - Dannlowski, Udo A1 - Margraf, Jürgen A1 - Totzeck, Christina A1 - Schneider, Silvia A1 - Neudeck, Peter A1 - Craske, Michelle G. A1 - Hollandt, Maike A1 - Richter, Jan A1 - Hamm, Alfons A1 - Wittchen, Hans-Ulrich T1 - Efficacy of temporally intensified exposure for anxiety disorders: A multicenter randomized clinical trial JF - Depression and Anxiety N2 - Background The need to optimize exposure treatments for anxiety disorders may be addressed by temporally intensified exposure sessions. Effects on symptom reduction and public health benefits should be examined across different anxiety disorders with comorbid conditions. Methods This multicenter randomized controlled trial compared two variants of prediction error-based exposure therapy (PeEx) in various anxiety disorders (both 12 sessions + 2 booster sessions, 100 min/session): temporally intensified exposure (PeEx-I) with exposure sessions condensed to 2 weeks (n = 358) and standard nonintensified exposure (PeEx-S) with weekly exposure sessions (n = 368). Primary outcomes were anxiety symptoms (pre, post, and 6-months follow-up). Secondary outcomes were global severity (across sessions), quality of life, disability days, and comorbid depression. Results Both treatments resulted in substantial improvements at post (PeEx-I: d\(_{within}\) = 1.50, PeEx-S: d\(_{within}\) = 1.78) and follow-up (PeEx-I: d\(_{within}\) = 2.34; PeEx-S: d\(_{within}\) = 2.03). Both groups showed formally equivalent symptom reduction at post and follow-up. However, time until response during treatment was 32% shorter in PeEx-I (median = 68 days) than PeEx-S (108 days; TR\(_{PeEx-I}\)-I = 0.68). Interestingly, drop-out rates were lower during intensified exposure. PeEx-I was also superior in reducing disability days and improving quality of life at follow-up without increasing relapse. Conclusions Both treatment variants focusing on the transdiagnostic exposure-based violation of threat beliefs were effective in reducing symptom severity and disability in severe anxiety disorders. Temporally intensified exposure resulted in faster treatment response with substantial public health benefits and lower drop-out during the exposure phase, without higher relapse. Clinicians can expect better or at least comparable outcomes when delivering exposure in a temporally intensified manner. KW - randomized controlled trial KW - anxiety disorders KW - exposure therapy KW - intensified treatment KW - public health Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-257331 VL - 38 IS - 11 ER -