{"id":1115,"date":"2025-10-15T09:05:00","date_gmt":"2025-10-15T08:05:00","guid":{"rendered":"https:\/\/igormatias.com\/?p=1115"},"modified":"2026-07-03T09:32:56","modified_gmt":"2026-07-03T08:32:56","slug":"daily-behavioral-and-environmental-factors-association-with-affective-states-and-quality-of-life","status":"publish","type":"post","link":"https:\/\/igormatias.com\/pt\/2025\/10\/15\/daily-behavioral-and-environmental-factors-association-with-affective-states-and-quality-of-life\/","title":{"rendered":"Daily Behavioral and Environmental Factors Association with Affective States and Quality of Life"},"content":{"rendered":"

Abstract: Nowadays, we collect vast amounts of behavioral and environmental data using wearable and environmental sensors, yet clarity remains limited about their associations with everyday affective states. This study explores correlations between passive behavioral data, environmental factors, and self-reported affective states in cognitively healthy adults for almost a year. Stress correlated most strongly with heart rate during sleep and weather variables. Positive Affect aligned primarily with sleep characteristics, such as total duration and interruptions. Negative Affect showed moderate correlations with sleep continuity and heart rate variability, suggesting the role of physiological regularity. Hostility correlated robustly with physical activity and weather. Anxiety exhibited strong associations with circadian disruptions and weather conditions, underlining environmental sensitivity. Depression was notably related to irregular sleep latency and air quality variability. Additionally, circadian disruptions from time-zone changes significantly impacted Affect, Anxiety, and Hostility, supporting existing jetlag research. These findings underscore the value of passive multimodal sensing, providing deeper insights into the interplay between physiology, environment, and mental health. The results highlight the potential of wearable technologies to facilitate personalized, continuous monitoring, contributing significantly to preventive health strategies and improving quality of life.<\/span><\/p>\n

Ma\u00efssa Bouneb1<\/sup>, Igor Matias1,2<\/sup>, Katarzyna Wac1<\/sup><\/p>\n

[1<\/sup>Quality of Life Technologies Lab, 2<\/sup>Cognitive Aging Lab], University of Geneva, Switzerland<\/p>\n

In PervasiveHealth 2025.<\/span><\/p>\n

Article: here<\/a><\/p>\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

Abstract: Ego depletion refers to the idea that self-control and decision-making abilities become depleted or diminished after engaging in prolonged or demanding cognitive tasks. When conducting research with humans, states such as stress are usually asked directly to the participants by using ecological momentary assessment (EMA). However, as those answers are self-reported, they are prone to bias due to the lack of user commitment or effort to assess the stress levels the best they can. This paper investigates the relationship between ego depletion and stress level reporting, specifically focusing on the bias in self-reported stress levels. The hypothesis tested in this study suggests that higher levels of ego depletion lead to greater bias in self-reported stress levels. Data collected by Berrocal et al. using EMA were analyzed to examine this hypothesis. The dataset included self-reporting stress levels by individuals being assessed and stress level reports from their peers. Data was collected using a mobile app, incorporating passive smartphone usage data alongside EMA responses. The hypothesis was tested and studied employing artificial intelligence algorithms. The results partially confirmed the initial hypothesis, revealing that lower ego depletion was associated with reduced bias in stress level reporting. Notably, when analyzing data from working days, the morning period demonstrated the least bias compared to the afternoon. These findings suggest that individuals have higher self-capacity and willingness to provide accurate stress level assessments during the morning hours. Challenges encountered in the research included limitations related to the holidays considered and potential confounders such as flexible time schedules or post-lunch sleepiness. This paper releases its data publicly, allowing for further examination and replication of the findings. Future research is encouraged to expand upon these conclusions.<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11],"tags":[],"class_list":["post-1115","post","type-post","status-publish","format-standard","hentry","category-conference"],"gutentor_comment":0,"yoast_head":"\nDaily Behavioral and Environmental Factors Association with Affective States and Quality of Life<\/title>\n<meta name=\"description\" content=\"Abstract: Abstract: Nowadays, we collect vast amounts of behavioral and environmental data using wearable and environmental...\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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