Recent publications
Chromosomal rearrangements (CR) initiate leukemogenesis in approximately 50 % of acute myeloid leukemia (AML) patients; however, limited targeted therapies exist due to a lack of accurate molecular and genetic biomarkers of refractory mechanisms during treatment. Here, we investigated the pathological landscape of treatment resistance and relapse in 16 CR-AML patients by monitoring cytogenetic, RNAseq, and genome-wide changes among newly diagnosed, refractory, and relapsed AML. First, in FISH-diagnosed KMT2A (MLL gene, 11q23)/AFDN (AF6, 6q27)-rearrangement, RNA-sequencing identified an unknown CCDC32 (15q15.1)/CBX3 (7p15.2) gene fusion in both newly diagnosed and relapsed samples, which is previously unknown in KMT2A/AFDN-rearranged AML patients. Second, the unreported CCDC32/CBX3 gene fusion significantly affected the expression of wild-type genes of both CCDC32 (essential for embryonic development) and CBX3 (an oncogene for solid tumors) during the relapse, as demonstrated by Quantitative PCR analyses. Third, we further confirmed the existence of triple biomarkers - KMT2A/AFDN (AF6, 6q27) rearrangement, the unknown CCDC32 (15q15.1)/CBX3 (7p15.2) gene fusion and chimeric RNA variants (treatment-resistant leukemic blasts harboring distinct breakpoints) in a 21-year-old male patient of rapid relapsed/refractory AML. Most intriguingly, in this work regarding 16 patients, patients 7 and 20 initially showed the KMT2A/AFDN gene fusion; upon relapse, patient 20 did not show this fusion. On the other hand, patient 7 retained the KMT2A/AFDN fusion at diagnosis and during the relapse, only identified by PCR and Sanger's Sequencing, not by cytogenetics. Interestingly, the chimeric CCDC32/CBX3 gene fusion persisted in the 21-year-old male patient over the diagnostic and relapse phases. Most intriguingly, the overexpression of CCDC32/CBX3 fusion gene in AML patient-specific MV4-11 cells confirms the functional validation, providing experimental evidence of the biological impact of the CCDC32/CBX3 fusion on AML pathogenesis and treatment resistance by promoting cell cycle progression, a mechanism through which AML evolves to become treatment-resistant. All these might exhort differential resistance to treatment. Thus, we found that prognostic and predictive triple biomarkers - KRAS mutated, dual fusions (KMT2A/AFDN, CCDC32/CBX3), and chimeric variants - might evolve with a potential oncogenic role of subclonal evolution for poor clinical outcomes. Keywords: AMLChromosomal Translocation; KMT2A; AFDN; Unknown Gene Fusion; RNA VariantsRelapseRefractoryhttps://www.sciencedirect.com/science/article/pii/S1368764624001572
Background
The open rectus abdominis flap has long been a versatile workhorse in pelvic reconstruction. In an effort to reduce morbidity of open approach, robotic harvest techniques have been developed. Our institution previously published a retrospective study that compared outcomes between the robotic and open approaches between 2014 and 2019. Since then, our technique has evolved to include the addition of a general surgeon for simultaneous harvest site closure and flap insetting.
Methods
This is an institutional review board–approved single-institution retrospective review of patients who underwent robotic rectus harvest using Da Vinci surgical system for perineal reconstruction between 2018 and June 2023. The dataset was stratified into patients who underwent 3-surgeon reconstruction versus 2-surgeon reconstruction. Data collected included demographics, risk factors, perioperative information, and postoperative outcomes.
Results
In total, 21 patients underwent robotic rectus repair from 2018 to 2023 with operations occurring at 3 different hospitals. Of those patients 7 were excluded, resulting in 14 patients included for evaluation: 8 patients who underwent 3-surgeon operation and 6 in the 2-surgeon cohort. We found no difference in total operative time (508.1 versus 506.8, P = 0.48), total robotic console time (445.7 versus 424.0, P = 0.46), hospital length of stay (11.4 versus 8.0, P = 0.27), or overall complication rate (0.75 versus 0.83, P = 0.36).
Conclusions
Although this is a small study, the data suggest that plastic surgeons trained in robotic techniques are well-equipped to perform the harvest, mesh repair, and flap inset without the addition of a general surgeon.
The relative importance of abiotic and biotic factors in determining species distributions has long been of interest to ecologists but is often difficult to assess due to the lack of spatially and temporally robust occurrence records. Furthermore, locating places where potentially highly competitive species co‐occur may be challenging but would provide critical knowledge into the effects of competition on species ranges. We built species distribution models for two closely related species of small mammals (Neotoma) that are largely parapatric along mountainsides throughout the Great Basin Desert, USA using extensive modern occurrence records. We hindcasted these models to the mid‐Holocene to compare the response of each species to dramatic climatic change and used paleontological records to validate our models. Model results showed species co‐occurrence at mid‐elevations along select mountain ranges in this region. We confirmed our model results with fine‐scale field surveys in a single mountain range containing one of the most extensive survey datasets across an elevational gradient in the Great Basin. We found close alignment of realized distributions to the respective abiotic species distribution model predictions, despite the presence of the congener, indicating that climate may be more influential than competition in shaping distribution at the scale of a single mountain range. Our models also predict differential species responses to historic climate change, leading to reduced probability of species interactions during warmer and dryer climatic conditions. Our results emphasize the utility of examining species distributions with regard to both abiotic variables and species interactions and at various spatial scales to make inferences about the mechanisms underlying distributional limits.
Ways of leaving the labor force have been an understudied aspect of labor market outcomes. Labor market institutions such as occupational licensing may influence how individuals transition to retirement. When and how workers transition from career jobs to full retirement may contribute to pre‐ and post‐retirement well‐being. Previous investigations of retirement pathways focused on the patterns and outcomes of retirement transitions, yet the influence of occupational licensing on retirement transition has not been analyzed. In this study, we use the Current Population Survey to investigate how occupational licensing influences American later‐career workers' choice of retirement pathways. Our results show that older licensed workers are less likely to choose to make career transitions but more likely to reduce work hours in transitioning out of the labor force. These results are consistent with the findings that licensed workers receive more benefits in the form of preferable retirement options, suggesting that these workers tend to have higher wages, benefits, and flexibility even toward the end of their careers.
To investigate the feasibility of robot-assisted teleultrasound diagnosis for radioactive patients compared with conventional ultrasound diagnosis. In this prospective study (ChineseClinicalTrials.gov identifier, ChiCTR2200057253), 32 radioactive patients were examined by conventional ultrasound and MGIUS-R3 robot-assisted ultrasound from March 2022 to June 2022. After two scans, patients completed a satisfaction survey, including comfort score, fear score, tension score and pain score. The durations of both scans were recorded, and sonographers wore lead apron to prevent the radiation during the conventional examination. Subsequently, the ultrasonic images saved by sonographers were diagnosed and scored. Finally, we evaluated the feasibility of the robot-assisted teleultrasound diagnosis system regarding patients’ satisfaction, examination duration, image quality and diagnostic consistency via χ² test, Kappa consistency test and Wilcoxon signed-rank test. Among 32 patients (mean age, 54.9 ± 9.8 [SD]; 16 women), 29 had consistent diagnoses and 3 had inconsistent diagnoses between two scans, but the diagnostic consistency was good (Kappa = 0.818, P < 0.001). In addition, there was no statistical difference between two scans with regard to image quality score (29.28 ± 0.47vs29.31 ± 0.44, P = 0.97), comfort score (10vs10, P > 0.99), tension score (0vs0, P > 0.99) and fear score (0.09vs0, P = 0.32). Although 7 patients felt slightly painful during teleultrasound scan, the pain intensity was acceptable (0.31vs0, P = 0.02). The mean duration of teleultrasound examinations was 11.1 min (6–24 min), which was longer than 5.9 min (2–17 min) of conventional examinations (P < 0.001). Comparing robot-assisted teleultrasound and conventional ultrasound, there was no evidence of differences regarding patients’ satisfaction and image quality, and the diagnostic consistency was remarkable.
Transport of energy carriers in solid-state materials is determined by their wavefunctions and interactions with the environment. While quantum transport theory has predicted distinct transport in the intermediate coupling regime resulting from the intricate interplay between coherent wave-like and incoherent particle-like mechanisms, these predictions are awaiting experimental evidence. Here we demonstrate quantum transport signatures in perovskite nanocrystal superlattices by imaging exciton propagation with high spatial and temporal resolutions over 7-298 K. At 7 K, coherent propagation of the excitons dominates, with transient ballistic motion within a coherence length of up to 40 nanocrystal sites. The interference of the wave-like motion leads to Anderson Localization in the long-time limit. As temperature increases, a peak in the long-time diffusion constant is observed at a temperature where static disorder and dephasing are balanced, which substantiates evidence for environment-assisted quantum transport. Our results connect theoretical predictions and experiments using a stochastic Anderson localization model, highlighting perovskite nanocrystals as promising building blocks for quantum materials.
A neural theory of human lightness computation is described and computer-simulated. The theory proposes that lightness is derived from transient ON and OFF cell responses in the early visual pathways that have different characteristic neural gains and that are generated by fixational eye movements (FEMs) as the eyes transit luminance edges in the image. The ON and OFF responses are combined with corollary discharge signals that encode the eye movement direction to create directionally selective ON and OFF responses. Cortical neurons with large-scale receptive fields independently integrate the outputs of all of the directional ON or OFF responses whose associated eye movement directions point towards their receptive field centers, with a spatial weighting determined by the receptive field profile. Lightness is computed by subtracting the spatially integrated OFF activity from spatially integrated ON activity and normalizing the difference signal so that the maximum response in the spatial lightness map at any given time equals a fixed activation level corresponding to the percept of white. Two different mechanisms for ON and OFF cells responses are considered and simulated, and both are shown to produce an overall lightness model that explains a host of quantitative and qualitative lightness phenomena, including the Staircase Gelb and related illusions, failures of lightness constancy in the simultaneous contrast illusion, Chevreul’s illusion, lightness filling-in, and perceptual fading of stabilized images. The neural plausibility of the two variants of the theory, as well as its implication for lightness constancy and failures of lightness constancy are discussed.
Time-resolved luminescence (TRL) measurement is a sensitive detection technique by eliminating sample autofluorescence, but TRL measurement instruments composed of multiple key components (e.g., a rapidly pulsed light excitation source, a time-gated optical detector, and a synchronization module aligning the timing between the light source and the detector) have been sophisticated, expensive, or bulky, which limits their point-of-care or in-field applications. To reduce the cost and complexity of these instruments, in this work, we developed a simple circuit for rapid LED pulsing and accurate timing synchronization, and implemented it in a compact TRL imager with a UV LED as light source and a chopper-coupled smartphone camera as time-gated optical detector. The TRL measurement of this imager using this circuit was successfully validated through an anticounterfeiting application. We believe that this simple circuit can be adopted in the development of low-cost and compact TRL measurement instruments for broad point-of-care or in-field applications.
Purpose of Review
Gambling disorder (GD) presents significant psychiatric challenges, particularly for vulnerable populations like military veterans, who often also face mental health comorbidities. Recovery is a crucial issue in the gambling field, representing a transition from illness to health. Currently, there is no consensus regarding its definition. This scoping review aimed to map the characteristics of studies on recovery in veterans with GD, explore how it is defined and measured, identify the dominate recovery approach, and the main research topics.
Recent Findings
This review identified 13 scientific articles. Findings showed minimal explicit use of the term “recovery” by researchers. The main recovery approach is the deficit based. Most studies focused on treatment programs and their effectiveness, neglecting the unique characteristics of veterans and alternative recovery pathways.
Summary
Future studies should explore and conceptualize recovery in veterans, and inquire into the specific recovery needs of veterans living with GD.
Introduction: Electrical stimulation has proven itself to be a powerful and novel tool in stroke recovery. However, it is unknown why this therapy significantly improves behavioral outcomes in rodent models of stroke. In a hypoxic environment, neural cells lack the proper glucose and oxygen to survive leading to many cell death pathways like Ca ²⁺ toxicity. Healthy neural cells can uptake excess intracellular Ca ²⁺ through the mitochondria as mitochondrial membrane potential increases. Neural cells under hypoxic conditions, however, are unable to uptake as much calcium due to mitochondrial dysfunction. We hypothesize that electrical stimulation therapy increases mitochondrial membrane potential in neural cells under hypoxia leading to increased Ca ²⁺ uptake and less Ca ²⁺ toxicity in the cell.
Methods: To test our hypothesis, we used two innovative methodologies: (1) neuron conversion from induced pluripotent stem cells (iPSCs) with neurogenin-2 (Ngn2) overexpressed for a period of 28 days developed in the Wernig Lab, and (2) a custom in vitro stimulation setup consisted of a gold layer sputtered onto cell culture inserts and a copper sheet placed below the 24-well plate creating an electric field across the iN cells (Figure 1). Induced neurons (iN) underwent oxygen glucose deprivation (5% CO 2, 10% H 2 , and 85% N 2 ) for a period of four hours in glucose deprived media. One hour after exposure, iN cells were electrically stimulated at 50mV, 100Hz, and a 20% duty cycle for 20 minutes at 37°C. One day after stimulation, iN cells were stained with Rhod-2, a labeled calcium indicator that increases in fluorescence as a function of mitochondrial Ca ²⁺ , and DAPI to confirm cell presence.
Results and Conclusions: Stimulation significantly increased mitochondrial Ca ²⁺ concentration in healthy iN cells seen in Figure 2 (N = 5, p = 0.014). In Figure 3, stimulation also significantly increased mitochondrial Ca ²⁺ in hypoxic cells (N = 5, p = 0.0024). Increased mitochondrial Ca ²⁺ in both cases indicates that mitochondrial calcium uptake appears to be improving. Electrical stimulation increasing mitochondrial membrane potential and improving calcium uptake could be a mechanism by which electrical stimulation facilitates stroke recovery. Future work will include additional staining for cytosolic calcium concentration (Calcium Green) and mitochondrial membrane potential (TMRM) to better track the relationship between the two.
Background: It is known that there are discrepancies between insurance status and access to care for a variety of health conditions. In addition, differences have been shown in initial in-hospital management of stroke as well as outcomes in the acute setting. We sought to examine the relationship between insurance status and risk of recurrent stroke, major bleeding or death following an incident cryptogenic stroke.
Methods: Patients with cryptogenic stroke included in a multicenter (n=27 sites) retrospective observational cohort and complete insurance status were evaluated for a primary composite outcome of recurrent stroke, major bleeding, or death. Insurance providers were categorized by Private/Veterans Administration, Medicare, Other, and Medicaid/pending/None, with the primary carrier ranked in that order when multiple insurance carriers applied. Descriptive statistics and an adjusted Cox proportional hazards regression were used to associate the primary insurance provider with the composite outcome, and with each unique secondary outcome, adjusting for age, stroke severity, pre-stroke disability, atherosclerotic risk factors, and potential embolic sources (e.g., patent foramen ovale).
Results: Of the 2201 patients, 2006 (91.1%) had reported insurance information and were followed for a median of 1.50 years (interquartile range [IQR 0.41 - 2.99y]). The majority of patients were primary Medicare beneficiaries (42.3%), followed by private insurance (36.7%), Medicaid/none (18.1%) and Other (2.9%). Although there were important differences in demographic and neurodiagnostic results across insurance groups, compared to Private/VA beneficiaries, beneficiaries for Medicaid/pending/none had a higher rate of the composite outcome in adjusted regression (adjusted hazard ratio [HR] 1.35, 95% confidence interval [CI], 1.07-1.69) which was driven largely by the higher rate of recurrent stroke (adjusted HR 1.33, 95%CI, 1.02-1.73) with no significant difference in rate of major bleeding or death (p>0.05 for both).
Conclusions: Independent of age, race, pre-existing disability, and atherosclerotic risk factors, insurance status was independently predictive of recurrent stroke in this diverse cohort of cryptogenic stroke.
Introduction: Cerebrovascular disease, a leading cause of death in the U.S., presents ongoing public health challenges, particularly in understanding geographic and demographic disparities in mortality. Although mortality trends by sex, race, and ethnicity are well-documented, geographic variations across the U.S. remain underexplored. This study describes cerebrovascular disease mortality trends from 1999 to 2020, focusing on state and urban-rural differences.
Methods: This retrospective cohort study analyzed 5,387,782 death certificates from 1999 to 2020, obtained from the CDC Wide-ranging Online Data for Epidemiologic Research (WONDER) database, focusing on cerebrovascular disease, defined by ICD-10 codes I60-I69. Age-adjusted mortality rates (AAMRs) per 100,000 were calculated based on the 2000 U.S. standard population. Temporal trends in mortality rates, stratified by urban-rural classification (large central metro, large fringe metro, medium metro, small metro, rural) and state, were characterized using the Joinpoint Regression Program, version 5.2.0 (National Cancer Institute). Statistical analyses were performed using RStudio 4.4.1, with p < 0.05 indicating significance. This study used deidentified, publicly available data and was deemed not human research by the University of Nevada, Reno IRB.
Results: From 1999 to 2020, the overall U.S. AAMR for cerebrovascular disease declined, with an average annual percent change (AAPC) of -2.03% (95% CI: -2.34 to -1.80, p < 0.001). Rural areas consistently had the highest AAMRs throughout the 22-year study period, though they decreased from 113.9 per 100,000 in 1999 to 78.6 in 2020. A significant upward trend was observed from 2018 onwards across all urban-rural classifications, with rural areas experiencing a 5.31% (95% CI: 2.53 to 6.95, p < 0.001) increase in AAMR between 2018 and 2020. State-level analysis showed significant variability among states, with states like Mississippi having persistently high AAMRs, despite overall declines.
Conclusion: This study highlights a significant overall decline in U.S. cerebrovascular disease mortality from 1999 to 2020, alongside a recent concerning increase beginning in 2018, particularly in rural areas and certain states. These findings underscore the need for targeted public health interventions to address emerging disparities in cerebrovascular disease outcomes by region and urbanization level.
Background: Left ventricular (LV) injury is a cardioembolic etiology of ischemic stroke. We aimed to 1) evaluate recurrent stroke risk among patients with cryptogenic stroke and LV injury, and 2) determine if there is a treatment effect with anticoagulation in this population.
Methods: We analyzed the multicenter, retrospective Cardiac Abnormalities in Stroke Prevention and Recurrence cohort of patients with cryptogenic ischemic stroke. The exposure was LV injury defined by 1) LV ejection fraction (EF) 20-40% and/or 2) LV wall motion abnormality (hypokinesis or akinesis). The primary composite outcome included recurrent stroke, major bleeding, or death. Cox proportional hazard models were built and sequentially adjusted for 1) age and sex (Model 1), and 2) age, sex, race, ethnicity, anti-thrombotic use, and vascular risk factors (Model 2). We then assessed if there was heterogeneity in treatment effect by LV injury status with an interaction term of LV injury and oral anticoagulation use in Model 2.
Results: Of 2,641 patients in CASPR, the analytic cohort included 2,191 patients with complete exposure and outcome data (median age 65 years, 49.8% female, median follow-up 1.55 years). There were 113 (5.2%) patients with LV injury (median LVEF 30%, interquartile range 25-34%). There were 559 incident events (321 recurrent strokes [288 ischemic], 71 major hemorrhages, 250 deaths). Among patients with LV injury, 15.9% were prescribed an anticoagulant within 7 days of index stroke (vs 9.6% without LV injury, p=0.03). The unadjusted risk of the primary outcome was non-significantly higher among patients with LV injury vs without (HR 1.40; 95% confidence interval [CI], 0.98-2.00), but became significant in Model 1 (HR 1.50; 95% CI, 1.21-1.85) and in Model 2 (HR 1.35, 95% CI, 1.11-1.64). In the LV injury subgroup, anticoagulation vs antiplatelet therapy was associated with a significant reduction in the primary outcome (HR 0.63, 95% CI, 0.43-0.94). In patients without LV injury, anticoagulation was associated with a higher risk of the composite outcome (HR 4.35, 95% CI, 1.69-11.16, p[interaction]=0.002).
Conclusion: In this observational study, there was an increased risk of the primary outcome which included recurrent stroke among patients with cryptogenic stroke and LV injury. Anticoagulation use in LV injury is associated with a significant reduction in the risk of the primary outcome. These findings warrant confirmation in a dedicated randomized controlled trial.
Introduction: Cerebrovascular disease, a leading cause of death in the U.S., presents ongoing public health challenges, particularly in understanding geographic and demographic disparities in mortality. Although mortality trends by sex, race, and ethnicity are well-documented, geographic variations across the U.S. remain underexplored. This study describes cerebrovascular disease mortality trends from 1999 to 2020, focusing on state and urban-rural differences.
Methods: This retrospective cohort study analyzed 5,387,782 death certificates from 1999 to 2020, obtained from the CDC Wide-ranging Online Data for Epidemiologic Research (WONDER) database, focusing on cerebrovascular disease, defined by ICD-10 codes I60-I69. Age-adjusted mortality rates (AAMRs) per 100,000 were calculated based on the 2000 U.S. standard population. Temporal trends in mortality rates, stratified by urban-rural classification (large central metro, large fringe metro, medium metro, small metro, rural) and state, were characterized using the Joinpoint Regression Program, version 5.2.0 (National Cancer Institute). Statistical analyses were performed using RStudio 4.4.1, with p < 0.05 indicating significance. This study used deidentified, publicly available data and was deemed not human research by the University of Nevada, Reno IRB.
Results: From 1999 to 2020, the overall U.S. AAMR for cerebrovascular disease declined, with an average annual percent change (AAPC) of -2.03% (95% CI: -2.34 to -1.80, p < 0.001). Rural areas consistently had the highest AAMRs throughout the 22-year study period, though they decreased from 113.9 per 100,000 in 1999 to 78.6 in 2020. A significant upward trend was observed from 2018 onwards across all urban-rural classifications, with rural areas experiencing a 5.31% (95% CI: 2.53 to 6.95, p < 0.001) increase in AAMR between 2018 and 2020. State-level analysis showed significant variability among states, with states like Mississippi having persistently high AAMRs, despite overall declines.
Conclusion: This study highlights a significant overall decline in U.S. cerebrovascular disease mortality from 1999 to 2020, alongside a recent concerning increase beginning in 2018, particularly in rural areas and certain states. These findings underscore the need for targeted public health interventions to address emerging disparities in cerebrovascular disease outcomes by region and urbanization level.
Interregional disparity is still growing in developing countries and persists even in many developed countries. This study examines the effectiveness of the growth pole development policy on population dispersion. Specifically, it analyzes the impact of relocating government-related jobs to lagging regions on migration patterns between urban regions at national and local levels, using the South Korean case. The estimation results show mixed spread and backwash effects from the new growth pole, Sejong City (new administrative capital), but decreased over time. The global-level (nationwide) spread effects did exist but not last long enough to reduce the interregional disparities from the overconcentration in Seoul Metropolitan Area. Also, the estimated local-level backwash effects (hollowing out) to Sejong City had also weakened over time. These findings underscore the importance of the integrated system of growth pole covering the surrounding regions in enhancing the regional livability. The major contribution of this paper is threefold. First, it employed the migration effectiveness measure to directly evaluate population redistribution goal in growth pole development policy. Second, the policy impact is analyzed at two different levels: nationwide (global) and regional (local) levels. The global model estimated the dispersion effects from a leading region to the lagging regions on a nationwide scale, while the local model estimated the backwash effects into a new growth pole from neighboring regions. Finally, the policy interventions should be consistent and comprehensive with the aim to decrease regional disparities by developing integrated system of growth pole in collaboration with various regional stakeholders.
Pupillometry is an emerging, noninvasive technique that measures pupil reactivity and provides deeper insights into ophthalmic and neurologic function. Extended reality (XR) technology has also emerged with powerful clinical capabilities in various medical specialties, particularly in neuro-ophthalmology functional testing. This article explores the use of XR technology in pupillometry. XR encompasses various immersive technologies, including virtual reality, augmented reality, and mixed reality. By integrating eye-tracking technology into these systems, precise measurements of ocular movements, including pupil dilation and constriction, can be obtained. We propose the term “XR-Pupillometry” to describe this novel approach. Our manuscript discusses the potential benefits and limitations of XR-Pupillometry and highlights its applications in various fields, including psychology, neuroscience, space research, and health care. We also provide an overview of existing devices and software available for XR-Pupillometry. As this technology continues to evolve, it has the potential to revolutionize the way we understand human behavior and emotions.
Objective
Early childhood obesity (ECO) significantly increased in the United States. ECO interventions lack focus on the prevention of ECO for infants under two. Caregiver’s feeding styles (CFS) has shown to affect ECO development, but studies on CFS are limited. This study examined socioecological factors associated with CFS for infants under two in Nevada.
Design
This cross-sectional study utilizing a survey, examined the five CFS-constructs: Responsive (RP), Non-Responsive (NRP) laissez-faire, NRP-pressuring, NRP-restrictive, and NRP-indulgent. Descriptive analysis and logistic regression following a hierarchical modeling approach were used to determine the associations between the CFS-constructs and socioecological factors (e.g., household, maternal mental health, and infant feeding).
Setting
Clark County, Nevada.
Participants
304 caregivers with infants under two.
Results
NRP feeding styles were associated with low-income households (e.g., NRP-restrictive (AOR=2.60, 95% CI [1.01-6.71])), water insecurity (e.g., NRP-pressuring (AOR=2.46, 95% CI [1.00-6.06]), young mothers (e.g., NRP-laissez-faire (AOR=2.39, 95% CI [1.00-5.84])), lower maternal education (e.g., RP (AOR=0.58, 95% CI [0.33-1.00])), mild risk for depression (e.g., NRP-restrictive (AOR=0.50, 95% CI [0.28-0.90])) and a moderate to severe risk for anxiety (e.g., NRP-pressuring (AOR=0.32, 95% CI [0.14-0.74])). There were no associations between infant feeding factors and RP feeding.
Conclusion
Our study identified socioecological factors associated with dissimilarities in CFS in Nevada. These findings can be used to tailor educational approaches to address disparities in early childhood obesity.
Institution pages aggregate content on ResearchGate related to an institution. The members listed on this page have self-identified as being affiliated with this institution. Publications listed on this page were identified by our algorithms as relating to this institution. This page was not created or approved by the institution. If you represent an institution and have questions about these pages or wish to report inaccurate content, you can contact us here.
Information
Address
Reno, United States
Website