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Relevant bibliographies by topics / Cognitive Factors

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Academic literature on the topic 'Cognitive Factors'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 June 2025

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Journal articles on the topic "Cognitive Factors"

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Ziv, Ido, David Leiser, and Joseph Levine. "Social cognition in schizophrenia: Cognitive and affective factors." Cognitive Neuropsychiatry 16, no. 1 (January 2011): 71–91. http://dx.doi.org/10.1080/13546805.2010.492693.

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Mettke-Hofmann, Claudia. "Cognitive ecology: ecological factors, life-styles, and cognition." Wiley Interdisciplinary Reviews: Cognitive Science 5, no. 3 (April 1, 2014): 345–60. http://dx.doi.org/10.1002/wcs.1289.

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Cheung, Ethan Siu Leung, and Ada Mui. "The Association between Environmental Factors, Race, and Cognitive Status." Innovation in Aging 4, Supplement_1 (December 1, 2020): 894. http://dx.doi.org/10.1093/geroni/igaa057.3296.

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Abstract Based on the data from National Social Life, Health and Aging Project, Wave 3, this study examined two research questions: what is the role of race in predicting cognitive status? and what are predictors of cognitive status between white and black older adults? Cognitive status was assessed using the 18-item survey-adapted Montreal Cognitive Assessment. Using the ecological framework, correlates of cognitive status were conceptualized in three levels of environments: micro- (personal health), meso- (social relationship), and macro-environments (community characteristics). Hierarchical regressions analyses were employed. Findings indicated that 83% of the sample (n= 2,829) were whites and the mean age was 72.95. Bivariate analyses suggested significant racial differences in cognitive status, marital status, income, education, health, social relationship, and community characteristics. Additive and interactive models showed that race had an independent effect as well as joint effects with the three levels of environments in explaining cognitive status. Parallel regression analyses for each racial group were undertaken and models were significant (P &lt; .0001). In two separate models, common predictors for better cognition included being younger, more educated, fewer IADL impairments, and less depression. For older whites, unique correlates for better cognition were being female, higher income, sense of control in life, safer community, and neighbor relations. The only unique correlate for older blacks to have better cognition was community cohesion. Results provided insights on racial differences in cognition experienced among community-dwelling older Americans, and emphasized the need for social programs that promote race-sensitive, age-friendly communities to protect against cognitive decline.

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李, 代钦. "Depression Affects Cognitive Factors." Advances in Clinical Medicine 12, no. 05 (2022): 4105–9. http://dx.doi.org/10.12677/acm.2022.125594.

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Neighbors, Clayton, Mary M. Tomkins, Jordanna Lembo Riggs, Joanne Angosta, and Andrew P. Weinstein. "Cognitive factors and addiction." Current Opinion in Psychology 30 (December 2019): 128–33. http://dx.doi.org/10.1016/j.copsyc.2019.05.004.

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Mora Simón, Sara, M. ª. Victoria Perea Bartolomé, Valentina Ladera Fernández, Ricardo García García, Jaime Unzueta Arce, María C. Patino Alonso, and Emiliano Rodríguez Sánchez. "Cognitive impairment and associated factors. DERIVA study." Alzheimer. Realidades e investigación en demencia, no. 58 (September 1, 2014): 20–26. http://dx.doi.org/10.5538/1137-1242.2014.58.20.

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Mohamad Rodi Isa, Siti Munira Yasin, Mariam Mohamad, Zaliha Ismail, and Zahir izuan Azhar. "THE COGNITIVE IMPPAIRMENT AND ITS RELATED FACTORS AMONG FACTORS AMONG ELDERLY HYPERTENSIVE IN TWO RURAL DISTRICTS AREAS, MALAYSIA." Malaysian Journal of Public Health Medicine 20, Special1 (August 1, 2020): 282–91. http://dx.doi.org/10.37268/mjphm/vol.20/no.special1/art.732.

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As cognition declines with age, cognitive impairment rates are expected to increase ranging from 100% to 300% in this region. It could be higher among elderly who had any chronic diseases. The aim of the present work was to determine the prevalence and associated factors of cognitive impairment among elderly with hypertension. A clinic-based, cross-sectional study was conducted at several community clinics in Sabak Bernam and Hilir Perak districts from July to December 2015. A total of 480 patients were recruited. The prevalence of cognitive impairment was 13.13% (95%CI: 13.11, 13.15). Factors associated with cognitive impairment among elderly hypertensive were no formal educational level [OR: 3.95 (95%CI: 1.80, 8.67)]; history of high cholesterol [OR: 3.24 (95%CI: 1.15, 9.16)]; underweight [adj. OR: 4.88 (95%CI: 1.34, 17.67)]; and increasing age [OR: 1.03 (95%CI: 1.01, 1.06)]. Public health policy makers and geriatric practitioners should emphasise on early cognitive function assessment among elderlies who are hypertensive, unemployed, poor educational background, males, high cholesterol level and underweight to enhance the quality of geriatric services. Earlier establishment of diagnosis may prevent from greater rate of decline in cognitive functioning among this vulnerable group.

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Hill, Nikki, and Mindy Katz. "FACTORS INFLUENCING SELF-REPORTED COGNITION OVER TIME." Innovation in Aging 3, Supplement_1 (November 2019): S220. http://dx.doi.org/10.1093/geroni/igz038.804.

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Abstract Self-reported cognitive problems among cognitively intact older adults are often associated with an increased risk of future cognitive decline and Alzheimer’s disease (AD). However, cross-sectional evidence suggests that self-reported cognition may be more influenced by factors such as personality or affective symptoms than concurrent objective cognitive performance. Furthermore, self-reported cognition is measured using a variety of items that assess different constructs (e.g., current memory performance, perceived decline over time), which may be differentially influenced by individual characteristics or item interpretation. The purpose of this symposium is to present findings from multiple analyses that examined the influence of individual characteristics (i.e., personality, perceived stress, and family history of dementia) on self-reported cognitive problems, and to further describe how item type influences older adults’ responses to questions about their memory. First, we present the results of an investigation that examined the influence of personality on three types self-reported memory, with a specific focus on how these associations may differ in Black and White older adults. Second, we extend this discussion with results of an examination of associations among personality, family history of AD, and memory self-report. Our third presentation explores bidirectional associations between perceived stress and memory complaints over time. And finally, we present the results of a factor analysis of self-reported cognition items that distinguishes those that tend to travel together over time from those that are better at discriminating between individuals.

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Martin, Kristy, Julien Périard, Ben Rattray, and David B. Pyne. "Physiological Factors Which Influence Cognitive Performance in Military Personnel." Human Factors: The Journal of the Human Factors and Ergonomics Society 62, no. 1 (April 22, 2019): 93–123. http://dx.doi.org/10.1177/0018720819841757.

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Objective: To identify and detail physiological factors that influence cognition in military personnel. Background: Maintenance of cognitive and task performance is important under several scenarios, none more so than in a military context. Personnel are prepared for and trained to tolerate many of the stressors they encounter; however, consideration of stressors typically extends only as far as the physical, psychological, and environmental requirements of a given task. While considering these factors certainly characterizes the broader picture, several physiological states and traits can influence cognition and thus, should also be considered. Method: A systematic review of the electronic databases Medline (PubMed), EMBASE (Scopus), PsycINFO, and Web of Science was conducted from inception up to January 2019. Eligibility criteria included current military personnel, an outcome of cognition, and the assessment of a physiological factor. Results: The search returned 60,564 records, of which 60 were included in the review. Eleven studies examined the impact of demographic factors on cognition, 16 examined fatigue, 10 investigated nutrition, and 24 the impact of biological factors on cognitive performance. Conclusion: Factors identified as having a positive impact on cognition include aerobic fitness, nutritional supplementation, and visual acuity. In contrast, factors identified as having a negative impact include fatigue arising from sustained operations, dehydration, undernutrition, and an exaggerated physiological stress response to a cognitive task or a stressor. A further subset of these factors was considered modifiable. Application: The modifiable factors identified provide avenues for training and preparation to enhance cognition in ways previously unconsidered.

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Cui, Huixia, Xusheng Shi, Xiaoxiu Song, and Wenlu Zhang. "Changes and Influencing Factors of Cognitive Impairment in Patients with Breast Cancer." Evidence-Based Complementary and Alternative Medicine 2021 (October 28, 2021): 1–9. http://dx.doi.org/10.1155/2021/7278853.

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Objective. To investigate the changes in cognitive function and its influencing factors in patients with breast cancer after chemotherapy, to provide a scientific basis for further cognitive correction therapy. Methods. In this study, general information on age, marital status, and chemotherapy regimen was collected from 172 breast cancer chemotherapy patients. 172 patients with breast cancer undergoing chemotherapy were investigated by convenience sampling method, and the subjects were tested one-on-one using the Chinese version of the MATRICS Consensus Cognitive Battery (MCCB) computer system. Results. The mean value of standardized t-value of cognitive function and its abnormal dimensions in breast cancer patients undergoing chemotherapy were MCCB total cognition (66.3%, 36.99 ± 13.06, abnormal), working memory (73.3%, 36.84 ± 10.25), attention and alertness (70.3%, 37.20 ± 12.50), social cognition (65.1%, 39.54 ± 10.17), and visual memory (61.6%, 42.19 ± 9.38). A comparison of cognitive function among breast cancer chemotherapy patients with different demographic characteristics showed that differences in place of residence, educational level, monthly income, timing of chemotherapy, chemotherapy regimen, and chemotherapy times may be associated with abnormal cognitive function. Further multiple linear regression analysis was performed and the results showed that there was a linear regression between literacy, number of chemotherapy sessions, monthly personal income, and cognitive function. Conclusion. Cognitive impairment is common in patients with breast cancer after chemotherapy. Nurses should pay attention to the cognitive function changes and intervention of patients with breast cancer after chemotherapy, to prevent the changes of cognitive function and promote the rehabilitation of patients.

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Dissertations / Theses on the topic "Cognitive Factors"

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Menon, Mahesh. "Cognitive factors in schizophrenic delusions." Thesis, University of Cambridge, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.614728.

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Todd, Gillian. "Cognitive factors in bulimia nervosa." Thesis, University of Cambridge, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.613854.

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McGowan, Alastair. "Cognitive factors mediating situation awareness." Thesis, Cardiff University, 2006. http://orca.cf.ac.uk/55639/.

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The six experiments reported in this thesis tested Endsley's (1995) three level theory of perception, comprehension and projection in SA alongside relevant cognitive theories, using a driving hazard perception test (HPT) of both hazard recognition and hazard anticipation as the main dependent measures. Experiments 1 and 2 tested the effects of training and expertise on the HPT, revealing a positive association between hazard anticipation and both SA training and expertise. Experiment 2 revealed a potentially complex relationship between expertise and recognition and anticipation. The effects of training Endsley's (1995) perception and comprehension levels of SA did not appear to be additive as predicted by that theory. Experiments 3 and 4 tested the effects of concurrent freeze probes and real time SA probes on the HPT. This revealed a negative effect of interruption and a positive effect of reorientation (revealing the rationale of the task) associated with the use of a freeze probe, in terms of hazard anticipation. Furthermore, these two effects appear to be mutually cancelling. It was also found that notification of forthcoming online probes does not ameliorate the negative effects of those interruptions in terms of hazard anticipation. Experiments 5 and 6 tested the effects of working memory interference in terms of visual-spatial, phonological and episodic buffer processing on the two HPT measures. This revealed more deleterious effects on hazard recognition associated with visual-spatial and episodic buffer interference than with phonological interference. It is argued that in terms of SA related visual processing during driving Milner and Goodale's (1992) dual pathway theory appears to have more explanatory power than Endsley's (1995) theory of SA.

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Barnacle, Gemma Elizabeth. "Understanding emotional memory : cognitive factors." Thesis, University of Manchester, 2016. https://www.research.manchester.ac.uk/portal/en/theses/understanding-emotional-memory-cognitive-factors(9b13f29e-169a-4dc5-a835-c5d8d7347ac4).html.

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The term Emotional Enhancement of Memory (EEM) describes the better memory of emotional compared to neutral events. When the EEM effect is measured after a delay the modulation model explains this effect very well, citing preferential consolidation of emotional events as the cause. However, the EEM effect can be observed before consolidation, an inexplicable result for the modulation model. Mediation theory offers an alternative explanation of the EEM effect: cognitive factors at encoding contribute to the immediate EEM (iEEM); namely attention, semantic relatedness, and distinctiveness processing (DP). The current research sought to further elucidate the neural underpinnings of DP – said to occur in ‘mixed’ lists of emotional and neutral stimuli – as a significant contributor to the iEEM. This was measured by comparing immediate free recall memory of emotional and neutral stimuli presented in mixed, and pure lists (emotional or neutral stimuli), using a specially formulated stimulus set which controlled for differential semantic relatedness (SeRENS, Chapter 3).Electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) data provided preliminary evidence of neural encoding correlates of the iEEM (Chapter 4 and 5); data which is not predicted by the modulation model. The behavioural EEM effect found in mixed lists was driven by a reduction in neutral memory relative to pure lists; however neural correlates of this effect were minimal. Conversely, successful mixed list emotional encoding (relative to pure list emotional encoding and neutral encoding) correlated with greater neural activity associated with [bottom-up] attention (in P300 and right supramarginal gyrus) and semantic processing (late positive potential and left anterior superior temporal gyrus; EEG and fMRI evidence respectively); although this did not correlate with behavioural measures of memory. This behaviour-neuroimaging discrepancy can be reconciled when one considers the results of Chapter 6: the crucial iEEM behavioural effect of impaired neutral memory was associated with retroactive interference from proceeding emotional stimuli (especially when relational processing resources were depleted); a neural effect that cannot be captured by the current event-related designs. This suggests that what is captured in the neuroimaging data is the mechanism which drives the retroactive interference at the temporal locus of emotional stimulus onset. These results raise the possibility of two disociable EEM effects: the iEEM effect explained by poor neutral memory due to retroactive interference of proceeding emotional stimuli (mediation theory); and the delayed EEM effect explained by preferential emotional stimulus consolidation (modulation model). These explanations can be unified into one model; however further testing would be required to determine the endurance of cognitive contributions to the EEM effect.

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Stein, Jo-Elle Shira. "Cognitive Factors in Social Anxiety." Thesis, The University of Sydney, 2018. http://hdl.handle.net/2123/17824.

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Social Anxiety Disorder (SAD) is characterised by a marked and persistent fear of social or performance situations. Cognitive models suggest that cognitive factors of SAD, including threat appraisals and dysfunctional thinking styles, play a crucial role in generating and maintaining social anxiety (Clark & Wells, 1995; Rapee & Heimberg, 1997; Hofmann, 2007). Self-report measures are commonly used to assess cognitive factors of SAD in research and clinical settings. However, the psychometric properties of such measures require evaluation in order to select the most methodologically appropriate measure for specific clinical and research purposes. The aim of Study 1 (Chapter 2) was to systematically review studies that report on the psychometric properties of trait cognitive self-report measures of social anxiety. The methodological quality of the measures was assessed using an appraisal of adequacy tool developed by Terwee et al. (2007). Fifty studies were included representing 21 measures. Several measures had some adequate psychometric properties, however, no measure had strong enough positive evidence as yet to allow for recommendations to be made regarding use in clinical and research settings. The best measure to date was the SISST, which received the greatest number of positive ratings, being six out of nine. The aim of Study 2 (Chapter 3) was to describe the development and preliminary psychometric evaluation of the Event Probability and Cost Questionnaire (EPCQ) for adults with social anxiety. In support of cognitive models, the final factor analysis revealed a two-factor solution explaining 52.5% of the variance. The first factor included beliefs relating to the cost or consequence of a negative social outcome occurring, as well as four probably items relating to the potential occurrence of negative evaluation of observable physical symptoms (e.g., blushing). The second factor included beliefs relating to the probability or likelihood that a social situation would occur. Both factors were elevated for SAD patients relative to non-clinical controls. The measure demonstrated good internal consistency, test-retest reliability, and convergent and divergent validity. In addition, the EPCQ demonstrated good sensitivity, specificity, positive and negative predictive values and it was able to effectively discriminate between individuals with SAD and non-clinical controls. The 5 final measure comprised 26 questions, 13 questions relating to probability and cost respectively. Results indicate that the EPCQ is a promising measure with several important applications in both research and clinical settings. Finally, the aim of Chapter 4 was to present a general discussion of the previous chapters, discuss strengths and limitations, and potential clinical implications of the findings from the thesis.

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Burton, David L. "Cognitive factors in sexually aggressive children /." Thesis, Connect to this title online; UW restricted, 1996. http://hdl.handle.net/1773/11185.

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Baldwin, Erin Jannett Maren. "Humor perception the contribution of cognitive factors /." unrestricted, 2007. http://etd.gsu.edu/theses/available/etd-06172007-015744/.

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Thesis (Ph. D.)--Georgia State University, 2007.<br>Title from file title page. Mary Morris, committee chair; Diana Robins, Erin McClure, Eric Vanman, committee members. Electronic text (137 p. : ill.) : digital, PDF file. Description based on contents viewed Nov. 6, 2007. Includes bibliographical references (p. 88-106).

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Baldwin, Erin. "Humor Perception: The Contribution of Cognitive Factors." Digital Archive @ GSU, 2007. http://digitalarchive.gsu.edu/psych_diss/31.

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Most of the extant humor research has focused on humor comprehension with only a few studies investigating humor appreciation as a separate construct. The purpose of this investigation was to determine the relation between humor and underlying cognitive processes. Literature on brain injured individuals has indicated that working memory, verbal and visual-spatial reasoning, cognitive flexibility, and concept formation are related to performance on comprehension tests of humor. In this study, cognitive processes underlying both verbal and nonverbal humor were investigated in a sample of healthy young adults. There is evidence that semantic and phonological humor are associated with different neural networks; therefore, both semantic and phonological humor were explored. Studies investigating physiological arousal and humor have indicated that arousal is necessary for the experience of humor. This suggests that the appreciation of humor may require the integration of cognitive and affective information, a process mediated by the ventromedial prefrontal cortex (VMPFC). Thus, a second goal of this study was to investigate the relationship between humor comprehension and appreciation and the VMPFC, by including experimental tasks that previously have been linked to VMPFC functioning. Participants included 94 undergraduate psychology students between the ages of 18 and 39 years. Participants watched film clips and listened to jokes. After the presentation of each joke and each film clip, they completed a humor comprehension/appreciation inventory developed for this study. They also completed measures assessing a range of cognitive abilities hypothesized to underlie humor perception. Hierarchical regression analyses revealed that verbal reasoning was predictive of semantic humor comprehension, indicating that verbal reasoning is a core cognitive ability for the comprehension of jokes in which the humor depends on factors other than simple word play. Cognitive measures were not predictive of phonological humor comprehension or nonverbal humor comprehension. Hierarchical regression analyses revealed that the indicators of VMPFC functioning did not correlate with either humor comprehension or humor appreciation and did not moderate the relation between humor comprehension and humor appreciation. Future research is necessary to elucidate the relationships between cognitive abilities and humor perception and to further explore the contribution of the VMPFC to humor appreciation.

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Holttum, Susan. "Depression : cognitive, social, environmental and emotional factors." Thesis, University of St Andrews, 1991. http://hdl.handle.net/10023/2654.

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This work examined four issues, in relation to both the experience of depression, and vulnerability to depression. There were four empirical studies, each with two parts. The first study examined the role of cognitions, such as overgeneralizations (Beck, 1963; Beck et al, 1979), and causal attributions (Abramson et al, 1978; Alloy et al, 1988). Their role as symptoms of depression, and as possible vulnerability factors, independent of current mood, was examined. In the first part of the study, clinically depressed patients, recovered subjects, and community control subjects were interviewed and given questionnaires. In the second part of the study a larger sample of students, some of whom became mildly depressed on beginning university filled in questionnaires at the start of term and again five weeks later. The same subject groups were the basis for the study on social factors, and the study on life events. The fourth study was also in two parts. A different sample of students were the subjects for the first part, and the same clinical and control groups participated in the second part. Factors found to be associated with the state of depression were: Internal, stable and global attributions for the causes of bad events, negative view of future outcomes, and negative view of self; social skill deficits and lack of social support; recent difficult life events. One factor failed to show any strong association with the depressed state – unrealistic goals. Factors associated with vulnerability to depression: Negative evaluations of future outcomes, and of self, unrealistic goals and, surprisingly, lower-than-normal goals; deficits in social skill (especially low self-confidence in social settings) and lack of social support; history-of difficult life events. Factors which failed to show association with vulnerability to depression: Causal-attributions for events; adverse reaction to depression itself. Deficits in social skill were associated with lack of social support. Depression proneness itself appeared to be a risk factor for negative life events.

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Koyama, Alain K. "Mechanisms and Risk Factors of Cognitive Aging." Thesis, Harvard University, 2015. http://nrs.harvard.edu/urn-3:HUL.InstRepos:16121142.

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This dissertation explores the role of biologic factors and a novel method of measuring cognitive function in investigating mechanisms and risk factors of cognitive aging. With a rapidly increasing aging population, the public health burden of dementia is expected to rise in the future. Therefore, it is important to both better understand the etiology and identify novel risk factors, in order to reduce the incidence of new cases and develop effective treatments. Blood-based biomarkers, such as amyloid-beta and sex hormones, can provide an objective measure of factors likely associated with dementia risk. Additionally, computerized cognitive testing can provide efficient and accurate measurement of cognitive function, yet is seldom used in epidemiologic studies. Our first chapter involves the first systematic review and meta-analysis of prospective studies exploring the association between plasma amyloid-beta and incident Alzheimer’s disease or dementia. While preclinical prediction of Alzheimer’s disease is important for effective intervention, studies have considerably varied in design, assays and sample size, making it difficult to interpret the overall data and thus necessitating a systematic review and meta-analysis. The second chapter explores the association between endogenous hormone levels and cognitive function in a population of older women. While many studies have investigated the role of hormone therapy in cognitive aging, fewer studies have investigated endogenous hormones, which may provide a more objective measure of hormonal status. We therefore present a prospective cohort study investigating the association between several endogenous sex hormones and their prohormones at baseline, and cognitive function over 20 years later. The third chapter evaluates the feasibility and performance of a self-administered computerized cognitive battery. Although most epidemiologic studies of cognitive aging rely on traditional neuropsychological testing to measure cognitive outcomes, such methods can be prone to error, interviewer bias, and demand substantial time and cost. Therefore, we present results demonstrating for the first time the feasibility and performance of an unsupervised self-administered computerized cognitive battery in a population of older men.<br>Epidemiology

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Books on the topic "Cognitive Factors"

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Knafo, Shira, and César Venero. Cognitive enhancement: Pharmacologic, environmental, and genetic factors. Amsterdam: Elsevier/AP, Academic Press is an imprint of Elsevier, 2015.

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Kyllonen, Patrick C. Role of cognitive factors in the acquisition of cognitive skill. Brooks Air Force Base, Tex: Air Force Human Resources Laboratory, Air Force Systems Command, 1990.

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Salthouse, Timothy. A theory of cognitive aging. Amsterdam: North-Holland, 1985.

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J, Ceci Stephen, Leichtman Michelle DeSimone, and Putnick Maribeth, eds. Cognitive and social factors in early deception. Hillsdale, N.J: L. Erlbaum Associates, 1992.

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Natalie, Chambers, ed. Binge eating: Psychological factors, symptoms and treatment. New York: Nova Science Publishers, 2009.

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Howe, Mark L., Michael J. Stones, and Charles J. Brainerd, eds. Cognitive and Behavioral Performance Factors in Atypical Aging. New York, NY: Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4613-8947-7.

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Khine, Myint Swe, and Shaljan Areepattamannil, eds. Non-cognitive Skills and Factors in Educational Attainment. Rotterdam: SensePublishers, 2016. http://dx.doi.org/10.1007/978-94-6300-591-3.

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Howe, Mark L. Cognitive and Behavioral Performance Factors in Atypical Aging. New York, NY: Springer New York, 1990.

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Morrison, Anthony Paul. Cognitive factors in source monitoring and auditory hallucinations. Manchester: University of Manchester, 1995.

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L, Howe Mark, Stones M. J, and Brainerd Charles J, eds. Cognitive and behavioral performance factors in atypical aging. New York: Springer-Verlag, 1990.

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Book chapters on the topic "Cognitive Factors"

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Roy, Eric. "Cognitive Factors." In Encyclopedia of Behavioral Medicine, 492–93. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39903-0_1116.

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Roy, Eric. "Cognitive Factors." In Encyclopedia of Behavioral Medicine, 447–48. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_1116.

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Catellani, Patrizia, and Valentina Carfora. "Cognitive Factors." In The Social Psychology of Eating, 35–46. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-35070-2_3.

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Davey, Graham, Suzanne Dash, and Frances Meeten. "Cognitive Factors." In Obsessive Compulsive Disorder, 53–76. London: Macmillan Education UK, 2014. http://dx.doi.org/10.1007/978-1-137-30869-6_4.

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Putnam, Michael T., and David Natvig. "Cognitive factors." In An Introduction to Language Attrition, 34–54. New York: Routledge, 2025. https://doi.org/10.4324/9781003174424-3.

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Lu, B., G. Nagappan, and Y. Lu. "BDNF and Synaptic Plasticity, Cognitive Function, and Dysfunction." In Neurotrophic Factors, 223–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-45106-5_9.

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Bone, James, and Jessie H. Lee. "Incorporating human risk factors into organizational performance." In Cognitive Risk, 91–110. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003189657-4.

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Wiggins, Mark W. "Cognitive Task Analysis." In Introduction to Human Factors for Organisational Psychologists, 211–19. New York: CRC Press, 2022. http://dx.doi.org/10.1201/9781003229858-23.

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Sun, Rui-shan, Zi-li Chen, Guang-xia Huang-fu, Guang-fu Ma, Di Wu, and Zhen Liu. "Factors Influencing Cargo Pilots’ Fatigue." In Engineering Psychology and Cognitive Ergonomics: Cognition and Design, 284–96. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58475-1_21.

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Vladimíra, Čavojová, and Hanák Róbert. "5 Culture’s Influences on Cognitive Reflection." In Human Factors and Ergonomics, 85–102. Taylor & Francis Group, 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742: CRC Press, 2016. http://dx.doi.org/10.1201/9781315369587-6.

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Conference papers on the topic "Cognitive Factors"

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T, Vincent Gnanaraj, Chenni Kumaran J, A. Sathish, and Indira K. P. "Comparative Analysis of Human Psychological factors vs AI cognitive factors." In 2025 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI), 1–6. IEEE, 2025. https://doi.org/10.1109/icdsaai65575.2025.11011647.

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Hewett, Thomas T. "Cognitive factors in design." In CHI '99 extended abstracts. New York, New York, USA: ACM Press, 1999. http://dx.doi.org/10.1145/632716.632789.

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Hewett, Thomas T. "Cognitive factors in design." In CHI '97 extended abstracts. New York, New York, USA: ACM Press, 1997. http://dx.doi.org/10.1145/1120212.1120313.

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Hewett, Thomas T. "Cognitive factors in design." In CHI98: ACM Conference on Human Factors and Computing Systems. New York, NY, USA: ACM, 1998. http://dx.doi.org/10.1145/286498.286565.

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Hewett, Thomas T. "Cognitive factors in design." In the 5th conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1056224.1056287.

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Hewett, Thomas T. "Cognitive factors in design." In Conference companion. New York, New York, USA: ACM Press, 1996. http://dx.doi.org/10.1145/257089.257376.

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Hewett, Thomas T. "Cognitive factors in design." In Conference companion. New York, New York, USA: ACM Press, 1995. http://dx.doi.org/10.1145/223355.223718.

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Hadar, Irit, and Anna Zamansky. "Cognitive factors in inconsistency management." In 2015 IEEE 23rd International Requirements Engineering Conference (RE). IEEE, 2015. http://dx.doi.org/10.1109/re.2015.7320427.

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Dahua, Wang, and Xiao Hongrui. "Cognitive Training Profile for Older People in China." In Applied Human Factors and Ergonomics Conference. AHFE International, 2021. http://dx.doi.org/10.54941/ahfe100558.

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Nowadays China is facing a serious problem of aging population. Older people suffer losses in aspects, especially in cognitive function. It is necessary and worthwhile to design effective cognitive training programs, based on our knowledge of cognitive aging mechanisms, to help older people maintain and improve their cognitive abilities. The present paper aims to introduce the development of cognitive training program for older people from the following three aspects: a) the status quo of aging society in China, b) cognitive aging and its underlying mechanisms, and c) the approach and practice of cognitive training.

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Liu, Xiaotong, Anbang Xu, Zhe Liu, Yufan Guo, and Rama Akkiraju. "Cognitive Learning." In CHI '19: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3290607.3312844.

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Reports on the topic "Cognitive Factors"

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Seales, W. B. Surgical Technology Integration with Tools for Cognitive Human Factors (STITCH). Fort Belvoir, VA: Defense Technical Information Center, October 2010. http://dx.doi.org/10.21236/ada613870.

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Seales, W. B. Surgical Technology Integration with Tools for Cognitive Human Factors (STITCH). Fort Belvoir, VA: Defense Technical Information Center, October 2007. http://dx.doi.org/10.21236/ada633142.

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Seales, W. B. Surgical Technology Integration with Tools for Cognitive Human Factors (STITCH). Fort Belvoir, VA: Defense Technical Information Center, October 2008. http://dx.doi.org/10.21236/ada633144.

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Gehrig, Anne. A study of factors affecting cognitive style in Mexican-American children. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.3171.

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Qu, Xi. Risk factors of cognitive frailty in older adults: a Meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, August 2021. http://dx.doi.org/10.37766/inplasy2021.8.0097.

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Carlson, Bryant. Concerted Cultivation, Academic Achievement, and the Mediating Role of Non-Cognitive Factors. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.6691.

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Qin, wenjiao, and chunli chen. Risk factors for cognitive decline in elderly patients with type 2 diabetes. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, April 2023. http://dx.doi.org/10.37766/inplasy2023.4.0056.

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Calderón, María Cecilia, and John Hoddinott. The Inter-Generational Transmission of Cognitive Abilities in Guatemala. Inter-American Development Bank, May 2011. http://dx.doi.org/10.18235/0011205.

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This paper examines early childhood development (ECD) outcomes and their association with family characteristics, investments, and environmental factors, with particular emphasis on the inter- generational transmission of cognitive abilities. The paper examines the causal relationship between parental cognitive abilities and ECD outcomes of their offspring using a rich data set from rural Guatemala that can account for such unobservable factors. A 10 percent increase in maternal Raven's scores increase children's Raven's scores by 7.8 percent. A 10 percent increase in maternal reading and vocabulary skills increases children's score on a standard vocabulary test by 5 percent. Effects are larger for older children, and the impact of maternal cognitive skills is larger than for paternal skills.

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Boyer, Pascal, and Pierre Lienard. Detection of Outside Threat in Different Cultures: Ecological, Cultural and Cognitive Factors of Effective Influence. Fort Belvoir, VA: Defense Technical Information Center, February 2013. http://dx.doi.org/10.21236/ada581336.

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Hale, Jo Mhairi, Maarten J. Bijlsma, and Angelo Lorenti. Does postponing retirement affect cognitive function? A counterfactual experiment to disentangle life course risk factors. Rostock: Max Planck Institute for Demographic Research, April 2020. http://dx.doi.org/10.4054/mpidr-wp-2020-013.

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