Background: Behaviors to avoid infection are key to minimizing casualties of the COVID-19 pandemic, as well as to avoid excessive interventions that are less effective. This study aims to identify behavioral patterns associated with SARS-CoV-2 infection in the real world.
Methods: A questionnaire-based cross-sectional study was conducted targeting a research panel of NTTCom Online Marketing Solutions Corporation or its affiliates. Data were extracted so that their demographic composition ratios matched the population estimates. Individuals who answered with consistency to have been diagnosed with SARS-CoV-2 at a medical facility were categorized into a SARS-CoV-2 group. Differences in lifestyles were compared using multiple regression and inverse probability weighing.
Results: In total 13,277 participants were included, of whom 44 (0.33%) were categorized as the SARS-CoV-2 group. Diagnosis of SARS-CoV-2 was negatively correlated with crowd avoidance, mask wearing, and hand-washing behavior. On the contrary, the diagnosis was positively correlated with some behaviors that appear to be preventive actions against the infection, such as changing clothes frequently, sanitizing belongings, and remote working.
Conclusions: It is important to conduct evidence-based intervention on people's behaviors and to avoid excessive interventions that are less effective, so that people can minimize the indirect harm, such as exhaustion and economic loss.
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http://dx.doi.org/10.3390/ijerph182212184 | DOI Listing |
Ecotoxicol Environ Saf
January 2025
Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention (China Medical University), Ministry of Education, Shenyang, Liaoning, China; Department of Occupational and Environmental Health, School of Public Health, China Medical University, Shenyang, Liaoning, China. Electronic address:
Deltamethrin (DM), a broad-spectrum insecticide, is widely used in the world. It can exert direct action on the central nervous system to produce neurotoxicity. Exposure to DM can lead to iron metabolism disorder, oxidative stress and learning and memory dysfunction.
View Article and Find Full Text PDFJ Reprod Immunol
January 2025
Graduate School of Economics, Nagoya City University, Japan.
Sporadic early miscarriages occur primarily due to embryonic aneuploidy. There is no evidence showing that stress is a direct cause of miscarriage. Yet, despite this, a national US survey and a Japanese survey found that many people mistakenly attributed miscarriage to the mental state or behavior of the women.
View Article and Find Full Text PDFPsychooncology
January 2025
The Department of Breast Medicine, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, Changsha, China.
Objective: Breast cancer patients often face a significant financial burden, leading to financial toxicity due to the necessity for long-term care, costly treatment, and follow-up measures. The purpose of this study is to systematically review the available qualitative evidence on how breast cancer patients cope with financial toxicity and their unmet need to promote the implementation of effective intervention strategies.
Methods: PubMed, Web of Science, PsycINFO, CINAHL, EMBASE, Scopus, CNKI, Wan Fang Data, and VIP databases were systematically searched for literature related to the study topic.
J Fish Biol
January 2025
Centre de Recherches sur la Cognition Animale, Centre de Biologie Intégrative (CBI), Centre National de la Recherche Scientifique (CNRS) & Université de Toulouse (UPS), Toulouse, France.
Escape waves in animal groups, such as bird flocks and fish schools, have attracted a lot of attention, as they provide the opportunity to better understand how information can efficiently propagate in moving groups, and how individuals can coordinate their actions under the threat of predators. There is a lack of appropriate experimental protocols to study escape waves in highly social fish, in which the number of individuals initiating the escape and the identity of the initiators are controlled. Indeed, highly social fish or obligate schoolers have a tendency to not respond well or to freeze when tested in experimental setups designed for single individuals.
View Article and Find Full Text PDFIntroductionAsthma attacks are set off by triggers such as pollutants from the environment, respiratory viruses, physical activity and allergens. The aim of this research is to create a machine learning model using data from mobile health technology to predict and appropriately warn a patient to avoid such triggers.MethodsLightweight machine learning models, XGBoost, Random Forest, and LightGBM were trained and tested on cleaned asthma data with a 70-30 train-test split.
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