Full bibliography | SCSU Bibliography

Refaee, M. A., Ali, A. A. M., Elfadl, A. H., Abujazar, M. F. A., Islam, M. T., Kawsar, F. A., Househ, M., Shah, Z., & Alam, T. (2020). Machine Learning Models Reveal the Importance of Clinical Biomarkers for the Diagnosis of Alzheimer’s Disease. In J. Mantas, A. Hasman, M. S. Househ, P. Gallos, & E. Zoulias (Eds.), Importance of Health Informatics in Public Health During a Pandemic (Vol. 272, pp. 478–481). IOS Press. https://doi.org/10.3233/SHTI200599

Alzheimer's Disease (AD) is a neurodegenerative disease that causes complications with thinking capability, memory and behavior. AD is a major public health problem among the elderly in developed and developing countries. With the growth of AD around the world, there is a need to further expand our understanding of the roles different clinical measurements can have in the diagnosis of AD. In this work, we propose a machine learning-based technique to distinguish control subjects with no cognitive impairments, AD subjects, and subjects with mild cognitive impairment (MCI), often seen as precursors of AD. We utilized several machine learning (ML) techniques and found that Gradient Boosting Decision Trees achieved the highest performance above 84% classification accuracy. Also, we determined the importance of the features (clinical biomarkers) contributing to the proposed multi-class classification system. Further investigation on the biomarkers will pave the way to introduce better treatment plan for AD patients. © 2020 The authors and IOS Press.

Rego, M. M., Hamilton, M. A., & Rogers, D. (2020). Measuring the Impact of Cause-Related Marketing: A Meta-Analysis of Nonprofit and For-profit Alliance Campaigns. Journal of Nonprofit & Public Sector Marketing, 33(4), 434–456. https://doi.org/10.1080/10495142.2020.1726253

Rupp, K., Schnoll, R., & Zigmont, V. A. (2020). Differences in health behaviors related to overweight/obesity by race/ethnicity in a diverse urban commuter college. Journal of American College Health, 1–8. https://doi.org/10.1080/07448481.2020.1818757

Objective: To examine health behaviors associated with overweight/obesity by race/ethnicity at a diverse urban college. Participants: 270 undergraduates (77.0% female; 26.7% non-Hispanic white) and median body mass index (BMI) of 23.1 kg/m2. Methods: A questionnaire about health-related behaviors as part of the “Get Fruved” project was used to measure health behaviors (sugar sweetened beverage (SSB), fruit and vegetable consumption, physical activity, stress, and sleep) by race/ethnicity. Multivariable logistic regression was used to assess the adjusted odds of engaging in positive health-related behaviors. Results: Non-Hispanic black and Hispanic students were 64% and 59% less likely to consume lower amounts of SSB. Hispanic students were 83% and 81% less likely to meet vegetable and fruit recommendations. Non-Hispanic black and other (including biracial) had reduced odds of meeting vegetable recommendations (AOR = 0.18 and 0.28). Conclusions: Disparities in SSB, fruit, and vegetable consumption represent potential intervention targets to improve health behaviors among racial/ethnic minorities. © 2020 Taylor & Francis Group, LLC.

Stults-Kolehmainen, M. A., Blacutt, M., Bartholomew, J. B., Gilson, T. A., Ash, G. I., McKee, P. C., & Sinha, R. (2020). Motivation States for Physical Activity and Sedentary Behavior: Desire, Urge, Wanting, and Craving. Frontiers in Psychology, 11(101550902), 568390. https://doi.org/10/ghts3r

To better explain daily fluctuations in physical activity and sedentary behavior, investigations of motivation are turning from social cognitive frameworks to those centered on affect, emotion and automaticity, such as the Affect and Health Behavior Framework (AHBF), Integrated Framework and Affective-Reflective Theory (ART). This shift has necessitated: (a) re-examination of older theories and their constructs, such as drives, needs and tensions and (b) an inspection of competing theories from other fields that also attempt to explain dynamic changes in health behaviors. The Dynamical Model of Desire, Elaborated Intrusion Theory and others commonly share with AHBF the idea that human behavior is driven strongly by desires and/or the similar concepts of wants, urges, and cravings. These affectively-charged motivation states (ACMS) change quickly and may better explain physical activity behavior from one moment to the next. Desires for movement predominantly derive from negative but also positive reinforcement. Data from clinical populations with movement dysfunction or psychiatric disorders provides further evidence of these drivers of movement. Those with Restless Legs Syndrome, akathisia, tic disorders and exercise dependence all report strong urges to move and relief when it is accomplished. Motor control research has identified centers of the brain responsible for wants and urges for muscular movement. Models elaborated herein differentiate between wants, desires, urges and cravings. The WANT model (Wants and Aversions for Neuromuscular Tasks) conceptualizes desires for movement and rest as varying by magnitude, approach or avoidance-orientation (wants versus aversions) and as occupying independent dimensions instead of opposite ends of the same axis. For instance, one hypothetically might be in a state of both high desire for movement and rest simultaneously. Variations in motivation states to move and rest may also be associated with various stress states, like freezing or fight and flight. The first validated instrument to measure feelings of desire/want for movement and rest, the CRAVE Scale (Cravings for Rest and Volitional Energy Expenditure) is already shedding light on the nature of these states. With these advances in theory, conceptual modeling and instrumentation, future investigations may explore the effects of desires and urges for movement and sedentary behavior in earnest. Copyright © 2020 Stults-Kolehmainen, Blacutt, Bartholomew, Gilson, Ash, McKee and Sinha.

Wakefield, A., & Axon, S. (2020). “I’m a bit of a waster”: Identifying the enablers of, and barriers to, sustainable food waste practices. Journal of Cleaner Production, 275, 122803-. https://doi.org/10.1016/j.jclepro.2020.122803

Food waste has become an area of increasing concern in recent years, since unsustainable food waste practices have been associated with a range of adverse environmental, economic and societal impacts. Food waste is a multi-sectoral issue and must be addressed as such, by ensuring policymakers, practitioners, and consumers are equipped with the relevant knowledge and understanding of the importance of sustainable food waste practices. By exploring current attitudes and understanding of this topic amongst consumers, a lack of education about the importance of this issue has been identified as a barrier to carrying out sustainable practices at the household level, along with excess packaging, cultural norms of overconsumption and inappropriate social marketing. In contrast, a number of enablers, including social pressures, access to appropriate facilities and encouragement from media advertisements appear to have been highly influential in infringing on the consciousness of consumers. Investigating these enablers and barriers has allowed a number of potential interventions to be identified, with the intention of addressing this issue using a multifaceted approach and encouraging society to carry out sustainable food waste practices in the future. © 2020

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Wang, Z., & Panaccio, A. J. (2020). A temporal analysis of employees’ situational work motivation and well- being. Academy of Management Proceedings, 2020(1), 11407-. https://doi.org/10.5465/ambpp.2020.11407abstract

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Clark, J. W., & Clark, J. S. (1979). The Art of Soaring*. The Journal of Creative Behavior, 13(2), 110–118. https://doi.org/10.1002/j.2162-6057.1979.tb00196.x

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Wellek, N. (1979). Book Review: Fedorov, N.F. (1828-1903) - Study in Russian Eupsychian and Utopian Thought - Lukashevich, S. Alternative Futures, 2(2), 93–98.

Clark, J. W. (1977). General systems perspectives. Journal of Creative Behavior, 11(1), 36–46. https://doi.org/10.1002/j.2162-6057.1977.tb00584.x

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Hutchinson, R. (1971). Sex Education - Kod or Ok. Family Planning Perspectives, 3(2), 70–71. https://doi.org/10.2307/2134035

Clark, J. W. (1969). On facing the crisis of intellectual poverty*. The Journal of Creative Behavior, 3(4), 260–270. https://doi.org/10.1002/j.2162-6057.1969.tb00059.x

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Trochim, W. M. K. (1976). The three-dimensional graphic method for quantifying body position. Behavior Research Methods, 8(1), 1–4. https://doi.org/10.3758/bf03201650

The three-dimensional graphic method for quantifying body position is a series of observer procedures and computer programs designed to yield three-dimensional (height, width, and depth) coordinates for various body points. These coordinates can be graphed by computer in several different ways, and can be analyzed mathematically to provide information about a wide variety of variables, including interpersonal distance and body activity. The procedure for collecting and analyzing the data is explained and the computer programs developed for the method are described. © 1976 Psychonomic Society, Inc.

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Pelosi, A. G. (1973). What is “Grammar”? The Modern Language Journal, 57(7), 329–334. https://doi.org/10.1111/j.1540-4781.1973.tb06945.x

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Gallistel, E. R. (1978). Setting goals and objectives for LD children. Process and problems. Journal of Learning Disabilities, 11(3), 177–184. Scopus. https://doi.org/10.1177/002221947801100309

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Gerber, S., & Drezek, S. (1977). Interpersonal Skills Workshop for Preparing Special-Education Teachers. Education and Training in Mental Retardation and Developmental Disabilities, 12(1), 75–82.

Minskoff, E. (1974). Remediating Auditory-Verbal Learning Disabilities - Role of Questions in Teacher-Pupil Interaction. Journal of Learning Disabilities, 7(7), 406–413. https://doi.org/10.1177/002221947400700702

Gallistel, E. (1973). Achievement on a test of specific coding skills contrasted with achievement global tests of reading skills. Journal of Learning Disabilities, 6(1), 1–9. https://doi.org/10.1177/002221947300600101

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Minskoff, E. (1973). Creating and Evaluating Remediation for Learning Disabled. Focus on Exceptional Children, 5(5), 1–11.

Minskoff, J. G. (1973). Differential approaches to prevalence estimates of learning disabilities. Annals of the New York Academy of Sciences, 205(1), 139–145. https://doi.org/10.1111/j.1749-6632.1973.tb43171.x

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