IU Indianapolis ScholarWorks :: Browsing by Subject "Measurement"

Browsing by Subject "Measurement"

Now showing 1 - 10 of 22

3D Facial Matching by Spiral Convolutional Metric Learning and a Biometric Fusion-Net of Demographic Properties
(IEEE, 2021) Mahdi, Soha Sadat; Nauwelaers, Nele; Joris, Philip; Bouritsas, Giorgos; Gong, Shunwang; Bokhnyak, Sergiy; Walsh, Susan; Shriver, Mark D.; Bronstein, Michael; Claes, Peter; Biology, School of Science
Face recognition is a widely accepted biometric verification tool, as the face contains a lot of information about the identity of a person. In this study, a 2-step neural-based pipeline is presented for matching 3D facial shape to multiple DNA-related properties (sex, age, BMI and genomic background). The first step consists of a triplet loss-based metric learner that compresses facial shape into a lower dimensional embedding while preserving information about the property of interest. Most studies in the field of metric learning have only focused on 2D Euclidean data. In this work, geometric deep learning is employed to learn directly from 3D facial meshes. To this end, spiral convolutions are used along with a novel mesh-sampling scheme that retains uniformly sampled 3D points at different levels of resolution. The second step is a multi-biometric fusion by a fully connected neural network. The network takes an ensemble of embeddings and property labels as input and returns genuine and imposter scores. Since embeddings are accepted as an input, there is no need to train classifiers for the different properties and available data can be used more efficiently. Results obtained by a to-fold cross-validation for biometric verification show that combining multiple properties leads to stronger biometric systems. Furthermore, the proposed neural-based pipeline outperforms a linear baseline, which consists of principal component analysis, followed by classification with linear support vector machines and a Naïve Bayes-based score-fuser.
A systematic review of the reasons for quitting and/or reducing alcohol among those who have received alcohol use disorder treatment
(Elsevier, 2024-11-19) Prestigiacomo, Christiana; Fisher-Fox, Lindsey; Cyders, Melissa A.; Psychology, School of Science
Research has primarily studied reasons for quitting and/or reducing alcohol use in non-treatment samples. This systematic review aimed to characterize the reasons for quitting and/or reducing alcohol use among those who have received treatment for AUD and examine how reasons endorsed differ across measurement methods used. Articles were identified through PsycINFO, Web of Science, PubMed, and CINAHL. Twenty-one articles met inclusion criteria. Thematic coding revealed 21 unique themes in reasons for quitting and/or reducing. Common reasons included physical health issues, misalignment with personal goals, family influence, and social factors-also noted in non-treatment populations. Unique themes like hitting rock bottom and avoiding disapproval were identified, potentially linked to treatment initiation or development. The measurement approach influenced the reasons reported, highlighting the need for standardized methods. Common reasons are fundamental and are not a result of treatment, while others are unique to individuals who have received AUD treatment, which may suggest that they are critical in leading one to seek treatment or may be developed during treatment. Assessing and tailoring treatment based on these reasons may enhance outcomes. Standardizing how we measure reasons for quitting or reducing alcohol is crucial for comparing studies and improving treatment. Future research should evaluate reasons over time, assess their importance at different treatment stages, and use varied assessment strategies for comprehensive insights.
The Cancer Loneliness Scale and Cancer-related Negative Social Expectations Scale: development and validation
(SpringerLink, 2017-07) Adams, Rebecca N.; Mosher, Catherine E.; Rand, Kevin L.; Hirsh, Adam T.; Monahan, Patrick O.; Abonour, Rafat; Kroenke, Kurt; Psychology, School of Science
PURPOSE: Loneliness is a known risk factor for poor mental and physical health outcomes and quality of life in the general population, and preliminary research suggests that loneliness is linked to poorer health outcomes in cancer patients as well. Various aspects of the cancer experience contribute to patients feeling alone and misunderstood. Furthermore, loneliness theory suggests that negative social expectations, which may specifically relate to the cancer experience, precipitate and sustain loneliness. Cancer-specific tools are needed to assess key constructs of this theory. In the current study, we developed and tested measures of (1) loneliness attributed to cancer (i.e., cancer-related loneliness) and (2) negative social expectations related to cancer. METHODS: First, we developed the items for the measures based on theory, prior research, and expert feedback. Next, we assessed the measures' psychometric properties (i.e., internal consistency and construct validity) in a diverse sample of cancer patients. RESULTS: The final products included a 7-item unidimensional Cancer Loneliness Scale and a 5-item unidimensional Cancer-related Negative Social Expectations Scale. Evidence of excellent reliability and validity was found for both measures. CONCLUSIONS: The resulting measures have both clinical and research utility.
Cancer Treatment-Related Fatigue: Psychometric Testing of the Cancer Treatment-Related Fatigue Representation Scale (CTRFRep) in Patients Undergoing Radiation Treatment for Cancer
(2010-02-02T21:24:42Z) Reuille, Kristina M.; Welch, Janet L.; Keck, Juanita F.; Fulton, Janet S.; Friesth, Barbara Manz
Cancer treatment-related fatigue (CTRF) is recognized as a prevalent and bothersome symptom for patients with cancer. In a model of the CTRF experience, CTRF representation, or the beliefs, thoughts and emotions surrounding the experience of CTRF, is believed to mediate the relationship between CTRF intensity and CTRF distress. To date, there is no reported measure of CTRF representation. The purpose of this descriptive, cross-sectional study guided by Leventhal’s Common Sense Model of Self-Regulation was to evaluate an instrument designed to measure CTRF representation, the CTRF Representation scale (CTRFRep), based on an existing measure, the Illness Perception Questionnaire (IPQ-R). The study included 47 patients (mean age=57.7 years) receiving radiation therapy for cancer interviewed one month post-treatment. 77% of patients had fatigue during treatment. Three content experts and one theory expert assessed content validity of the CTRFRep. The content experts included three behavioral oncology nurse researchers whose focus is on symptom management and/or fatigue. The theory expert was a nurse researcher who is an expert in the area of self-regulation theory. As tested, the CTRFRep consisted of 105 items in 10 subscales addressing beliefs about the Identity, Timeline (Acute vs. Chronic/Cyclical), Consequences (positive/negative), Cause, Control (Treatment/Personal), Symptom Coherence, and Emotional Representation of CTRF. When evaluating psychometrics, the Identity and Cause subscales are analyzed independent of the other subscales. For the Identity subscale, symptoms most reported as related to CTRF were lack of energy, loss of strength, and feeling blue. For the Cause subscale, the most common beliefs regarding causes of CTRF were cancer treatment(s), having cancer, and stress or worry. Results indicate adequate reliability in six of eight remaining subscales (α>=0.70); the item N in those subscales was reduced from 56 to 34. To address construct validity, logistic regression assessed whether CTRFRep mediated the relationship between CTRF intensity and CTRF distress. After controlling for negative affect, the Identity and Consequences subscales were significant mediators – the Acute vs. Chronic Timeline and Emotional Representation scales were partial mediators – of the relationship between CTRF intensity on CTRF distress. These findings indicate fatigue is a problem for people undergoing treatment for cancer, and the CTRFRep may be a reliable and valid measure of CTRF representation for patients undergoing radiation treatment for cancer. Small sample size prevented successful factor analysis of the CTRFRep. Further research of the CTRFRep is warranted.
Clarifying the Overlap Between Motivation and Negative Symptom Measures in Schizophrenia Research: A Meta-Analysis
(Elsevier, 2019-04) Luther, Lauren; Fischer, Melanie W.; Firmin, Ruth L.; Salyers, Michelle P.; Psychology, School of Science
Motivation and negative symptom research has recently been hampered by a series of inconsistent findings, leading to calls for a greater consensus on the type of measures used across studies. To inform this issue, we conducted a meta-analysis that quantified the association between motivation measures (self-report, performance-based) and clinician-rated negative symptom measures as well as a series of moderator analyses to develop a greater understanding of the measurement factors impacting this relationship. Forty-seven eligible studies with people with schizophrenia-spectrum disorders were included. Using a random-effects meta-analytic model, a small but significant overall effect size emerged between motivation and clinician-rated negative symptoms (r = −.18). Several significant moderators were identified, including the generation of negative symptom measures such that there was a significantly stronger relationship between motivation and second-generation (r = −.38) than first-generation negative symptom measures (r = −.17). Further, the type of performance-based measure used moderated the relationship, with effort discounting tasks most strongly related to negative symptoms (r = −.44). The domain of motivation assessed (intrinsic, extrinsic, amotivation) also moderated the relationship. These findings help to identify sources of inconsistencies observed in prior studies and point to both second-generation and effort discounting tasks as the most promising types of measures, particularly for those interested in validating motivation measures or assessing the effectiveness of motivation treatments. Although additional research is needed, our results suggest that using these measures may help to reduce inconsistencies across studies and move the field forward.
Comparable Minimally Important Differences and Responsiveness of Brief Pain Inventory and PEG Pain Scales across Six Trials
(Elsevier, 2024) Reed, David E., II; Stump, Timothy E.; Monahan, Patrick O.; Kroenke, Kurt; Biostatistics and Health Data Science, Richard M. Fairbanks School of Public Health
The 3-item pain intensity (P), interference with the enjoyment of life (E), and interference with general activity (G), or PEG, has become one of the most widely used measures of pain severity and interference. The minimally important differences (MID) and responsiveness of the PEG are essential metrics for solidifying its role in research and clinical care. The current study aims to establish the MID and responsiveness of the PEG by synthesizing data from 1,710 participants across 6 controlled trials. MIDs were estimated using absolute score changes among individuals reporting their pain was "a little better" on a retrospective global change anchor as well as distribution-based estimates using standard deviation thresholds and 1 and 2 standard errors of measurement. Responsiveness was assessed using standardized response means, area under the curve, and treatment effect sizes. MID estimates for the PEG ranged from 0.60 to 1.1 when using 0.35 SD, and 0.78 to 1.22 using 1 standard error of measurement. MID estimates using the global anchor had somewhat more variability but most estimates ranged from 1.0 to 1.75. Responsiveness effect sizes were generally large (>.80) for standardized response means and moderate (>.50) for treatment effect. Similarly, the most area under the curve values demonstrated an acceptable level of scale responsiveness (≥.70). Importantly, MID estimates and responsiveness of the PEG and BPI scales were largely comparable when aggregating data across trials. Our synthesis indicates that 1 point is a reasonable MID estimate on these 0- to 10-point pain scales, with 2 points being an upper bound. PERSPECTIVE: This article synthesizes data from 6 clinical trials to establish the minimally important difference (MID) and responsiveness of the 3-item PEG pain scale. The PEG demonstrated good responsiveness, and 1 to 2 points proved to be reasonable estimates for the lower and upper bounds of the MID.
Comparative responsiveness of pain outcome measures among primary care patients with musculoskeletal pain
(Wolters Kluwer, 2010-11) Krebs, Erin E.; Bair, Matthew J.; Damush, Teresa M.; Tu, Wanzhu; Wu, Jingwei; Kroenke, Kurt; Department of Medicine, IU School of Medicine
BACKGROUND: Comparative responsiveness data are needed to inform choices about pain outcome measures. OBJECTIVES: To compare responsiveness of pain intensity, pain-related function, and composite measures, using data from a randomized trial and observational study. RESEARCH DESIGN: Analysis of responsiveness. SUBJECTS: A total of 427 adults with persistent back, hip, or knee pain were recruited from primary care. METHODS: Participants completed Brief Pain Inventory, Chronic Pain Grade (CPG), Roland disability, SF-36 bodily pain, and pain global rating of change measures. We used the global rating as the anchor for standardized response mean and receiver operating characteristic curve analyses. We used the distribution-based standard error of measurement to estimate minimally important change. To assess responsiveness to the trial intervention, we evaluated standardized effect size statistics stratified by trial arm. RESULTS: All measures were responsive to global improvement and all had fair-to-good accuracy in discriminating between participants with and without improvement. SF bodily pain was less responsive than other measures in several analyses. The 3-item PEG was similarly responsive to full Brief Pain Inventory scales. CPG and SF bodily pain were less responsive to the trial intervention and did not perform well among participants with hip/knee pain. Agreement between anchor and distribution-based methods was modest. CONCLUSIONS: If a brief measure is desired, the 3-item PEG is more responsive than the SF bodily pain scale. CPG and SF bodily pain scales may be relatively poor choices for trial outcome assessment. Both anchor and distribution-based methods should be considered when determining clinically important change.
Cross-Cultural Measurement Invariance of a Measure of Disability for White, Black, Hispanic and Asian Older Adults
(MDPI, 2021-02-03) Chan, Keith T.; Algood, Carl; Prifti, Andreana; Zidan, Tarek; School of Social Work
Introduction: This study aims to determine the cross-cultural measurement equivalence of the Washington Group General Measure of Disability for older adults. Materials and methods: This study used the 2012 California Health Interview Survey. The sample included 14,115 non-Hispanic White, Black, Hispanic and Asian adults aged 65 and older. Analysis was conducted using multi-group confirmatory factor analysis (CFA), parallel and Tau-equivalent tests. Results: The results indicated that the measure was valid for use with older adults (Satorra Bentler χ2 = 13.27, df = 3, p = 0.005, GFI = 0.996). Multi-group CFA indicated comparisons were valid between Whites with Blacks, and Hispanics with Asians. Cognitive disability was associated with independent living disability for Whites and Blacks, and with sensory disability for Hispanics and Asians. Conclusions: Findings indicated the measure is valid for cross-cultural comparison for certain racial/ethnic groups. Further research is needed to understand differences in associations of cognitive decline with other areas of disability for older adults.
Electronic Heart (ECG) Monitoring at Birth and Newborn Resuscitation
(MDPI, 2024-06-04) Mende, Sarah; Ahmed, Syed; DeShea, Lise; Szyld, Edgardo; Shah, Birju A.; Pediatrics, School of Medicine
Background: Approximately 10% of newborns require assistance at delivery, and heart rate (HR) is the primary vital sign providers use to guide resuscitation methods. In 2016, the American Heart Association (AHA) suggested electrocardiogram in the delivery room (DR-ECG) to measure heart rate during resuscitation. This study aimed to compare the frequency of resuscitation methods used before and after implementation of the AHA recommendations. Methods: This longitudinal retrospective cohort study compared a pre-implementation (2015) cohort with two post-implementation cohorts (2017, 2021) at our Level IV neonatal intensive care unit. Results: An initial increase in chest compressions at birth associated with the introduction of DR-ECG monitoring was mitigated by focused educational interventions on effective ventilation. Implementation was accompanied by no changes in neonatal mortality. Conclusions: Investigation of neonatal outcomes during the ongoing incorporation of DR-ECG may help our understanding of human and system factors, identify ways to optimize resuscitation team performance, and assess the impact of targeted training initiatives on clinical outcomes.
Evolving Attitudes Toward Numeric Pain Assessment Among Patients with Hypermobile Ehlers-Danlos Syndrome: A Qualitative Interview Study
(Oxford University Press, 2023) Halverson, Colin M. E.; Kroenke, Kurt; Penwell, Heather L.; Francomano, Clair A.; Medicine, School of Medicine

Browsing by Subject "Measurement"

Results Per Page

Sort Options