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Herbuela VRDM, Karita T, Toya A, Furukawa Y, Senba S, Onishi E, Saeki T. Multilevel and general linear modeling of weather and time effects on the emotional and behavioral states of children with profound intellectual and multiple disabilities. Front Psychiatry 2024; 14:1235582. [PMID: 38250279 PMCID: PMC10797094 DOI: 10.3389/fpsyt.2023.1235582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 11/07/2023] [Indexed: 01/23/2024] Open
Abstract
Introduction Eliciting the emotional and behavioral states of children with severe or profound intellectual disabilities (IDs) and profound intellectual and multiple disabilities (PIMD) due to their complex and atypical developmental trajectories has become increasingly elusive. It is evident that the environment, influenced by weather conditions and time of the day, plays a pivotal role in molding children's behaviors, emotions, and interactions. This underscores the significance of the environment as a critical factor in exploring the communication dynamics of children with PIMD/IDs. Methods Over five months during fall and winter seasons, we conducted 105 video-recorded sessions with 20 children aged 8 to 16 with PIMD/IDs. These sessions aimed to capture the emotional and behavioral states interpreted by caregivers while simultaneously collecting indoor and outdoor weather indices, location, and time data. Using cross-classified multilevel and general linear models adjusted for individual characteristics and location variability with subsequent simple slope analyses, we examined the main and seasonal interaction effects of indoor and outdoor weather indices and time of the day on the emotional and behavioral states of children with PIMD/IDs. Results The models revealed that higher atmospheric pressure (atm), indicative of pleasant and favorable weather conditions, was associated with increased engagement (indoor: p < 0.01; outdoor: p < 0.01) and interest (outdoor: p < 0.01) behaviors. In contrast, engagement levels decreased before lunchtime (p < 0.01; p < 0.001), and inclement or unstable weather conditions characterized by low-pressure systems (p < 0.05) and stronger wind speed (p < 0.05) led to more refusal or disagreement. During winter, children displayed significantly more agreement with their caregivers (p < 0.001). Interestingly, they also engaged more on cloudy days (p < 0.05). Furthermore, simple slope analyses revealed that high atm conditions in fall were linked to more engagement (p < 0.05) while humid conditions predicted more assent behaviors (p < 0.001). However, cloudy weather predicted less attentional focusing (p < 0.05) and interest (p < 0.01) behaviors in winter. Conclusion This study confirms that fluctuations in weather indices, including seasonal changes and time of the day, can provide potential pathway indicators and supplement behavioral observations to elicit the behavioral states of children with PIMD/IDs. These findings highlight the importance of considering these factors when designing meaningful interactions and communication interventions for this population.
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Affiliation(s)
| | - Tomonori Karita
- Center for Inclusive Education, Faculty of Education, Ehime University, Ehime, Japan
| | - Akihiro Toya
- Graduate School of Humanities and Social Sciences, Hiroshima University, Higashihiroshima, Japan
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Arimitsu T, Fukutomi R, Kumagai M, Shibuma H, Yamanishi Y, Takahashi KI, Gima H, Seto Y, Adachi H, Arai H, Higuchi M, Ohgi S, Ohta H. Designing artificial circadian environments with multisensory cares for supporting preterm infants' growth in NICUs. Front Neurosci 2023; 17:1152959. [PMID: 37694118 PMCID: PMC10491019 DOI: 10.3389/fnins.2023.1152959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Accepted: 07/26/2023] [Indexed: 09/12/2023] Open
Abstract
Previous studies suggest the importance of stable circadian environments for fetuses to achieve sound physiology and intrauterine development. This idea is also supported by epidemiological and animal studies, in which pregnant females exposed to repeated shifting of light-dark cycles had increased rates of reproductive abnormalities and adverse pregnancy outcomes. In response to such findings, artificial circadian environments with light-dark (LD) cycles have been introduced to NICUs to promote better physical development of preterm infants. Such LD cycles, however, may not be fully effective for preterm infants who are less than 30 weeks gestational age (WGA) since they are too premature to be adequately responsive to light. Instead, circadian rhythmicity of incubated preterm infants less than 30 WGA may be able to be developed through stimulation of the non-visual senses such as touch and sound.
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Affiliation(s)
- Takeshi Arimitsu
- Department of Pediatrics, Keio University School of Medicine, Tokyo, Japan
- The Japan Developmental Care Study Group, School of Rehabilitation Sciences, Seirei Christopher University, Hamamatsu, Japan
| | - Rika Fukutomi
- Section of Pediatric Nursing, Graduate School of Nursing Science, St. Luke's International University, Tokyo, Japan
| | - Mayuko Kumagai
- Department of Nursing, Akita University Graduate School of Medicine, Akita, Japan
| | - Hayato Shibuma
- Department of Rehabilitation, Yamagata Saisei Hospital, Yamagata, Japan
| | - Yoko Yamanishi
- Department of Occupational Therapy, Faculty of Health Sciences, Tokyo Metropolitan University, Tokyo, Japan
| | - Kei-ichi Takahashi
- Department of Occupational Therapy, Akita University Graduate School of Medicine, Akita, Japan
| | - Hirotaka Gima
- The Japan Developmental Care Study Group, School of Rehabilitation Sciences, Seirei Christopher University, Hamamatsu, Japan
- Department of Physical Therapy, Faculty of Health Sciences, Tokyo Metropolitan University, Tokyo, Japan
| | - Yoshitaka Seto
- Maternity and Perinatal Care Center, Hokkaido University Hospital, Sapporo, Japan
| | - Hiroyuki Adachi
- Department of Pediatrics, Akita University Graduate School of Medicine, Akita, Japan
| | - Hirokazu Arai
- Department of Neonatology, Akita Red Cross Hospital, Akita, Japan
| | - Masakatsu Higuchi
- The Japan Developmental Care Study Group, School of Rehabilitation Sciences, Seirei Christopher University, Hamamatsu, Japan
- Department of Occupational Therapy, Faculty of Health and Medical Science, Teikyo Heisei University, Tokyo, Japan
| | - Shohei Ohgi
- The Japan Developmental Care Study Group, School of Rehabilitation Sciences, Seirei Christopher University, Hamamatsu, Japan
- Department of Physical Therapy, School of Rehabilitation Sciences, Seirei Christopher University, Hamamatsu, Japan
| | - Hidenobu Ohta
- The Japan Developmental Care Study Group, School of Rehabilitation Sciences, Seirei Christopher University, Hamamatsu, Japan
- Department of Occupational Therapy, Akita University Graduate School of Medicine, Akita, Japan
- Department of Sleep-Wake Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
- Department of Psychiatry, Asai Hospital, Chiba, Japan
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Emotion Detection Based on Pupil Variation. Healthcare (Basel) 2023; 11:healthcare11030322. [PMID: 36766898 PMCID: PMC9914860 DOI: 10.3390/healthcare11030322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 01/18/2023] [Accepted: 01/19/2023] [Indexed: 01/24/2023] Open
Abstract
Emotion detection is a fundamental component in the field of Affective Computing. Proper recognition of emotions can be useful in improving the interaction between humans and machines, for instance, with regard to designing effective user interfaces. This study aims to understand the relationship between emotion and pupil dilation. The Tobii Pro X3-120 eye tracker was used to collect pupillary responses from 30 participants exposed to content designed to evoke specific emotions. Six different video scenarios were selected and presented to participants, whose pupillary responses were measured while watching the material. In total, 16 data features (8 features per eye) were extracted from the pupillary response distribution during content exposure. Through logistical regression, a maximum of 76% classification accuracy was obtained through the measurement of pupillary response in predicting emotions classified as fear, anger, or surprise. Further research is required to precisely calculate pupil size variations in relation to emotionally evocative input in affective computing applications.
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Circadian depression: A mood disorder phenotype. Neurosci Biobehav Rev 2021; 126:79-101. [PMID: 33689801 DOI: 10.1016/j.neubiorev.2021.02.045] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Revised: 02/18/2021] [Accepted: 02/28/2021] [Indexed: 12/15/2022]
Abstract
Major mood syndromes are among the most common and disabling mental disorders. However, a lack of clear delineation of their underlying pathophysiological mechanisms is a major barrier to prevention and optimised treatments. Dysfunction of the 24-h circadian system is a candidate mechanism that has genetic, behavioural, and neurobiological links to mood syndromes. Here, we outline evidence for a new clinical phenotype, which we have called 'circadian depression'. We propose that key clinical characteristics of circadian depression include disrupted 24-h sleep-wake cycles, reduced motor activity, low subjective energy, and weight gain. The illness course includes early age-of-onset, phenomena suggestive of bipolarity (defined by bidirectional associations between objective motor and subjective energy/mood states), poor response to conventional antidepressant medications, and concurrent cardiometabolic and inflammatory disturbances. Identifying this phenotype could be clinically valuable, as circadian-targeted strategies show promise for reducing depressive symptoms and stabilising illness course. Further investigation of underlying circadian disturbances in mood syndromes is needed to evaluate the clinical utility of this phenotype and guide the optimal use of circadian-targeted interventions.
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