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Dive into the research topics where Megan Huisingh-Scheetz is active.

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Featured researches published by Megan Huisingh-Scheetz.


Journals of Gerontology Series B-psychological Sciences and Social Sciences | 2014

Comorbidity and Chronic Conditions in the National Social Life, Health and Aging Project (NSHAP), Wave 2

Terrie Vasilopoulos; Ashwin Kotwal; Megan Huisingh-Scheetz; Linda J. Waite; Martha K. McClintock; William Dale

OBJECTIVE The goals of this paper were: (a) to promote research using the National Social Life, Health and Aging Project (NSHAP) Wave 2 data by providing relevant background information for a broad range of chronic conditions and (b) to provide a framework for combining these chronic conditions into informative comorbidity indices. METHOD The chronic conditions measured in NSHAP Wave 2 were grouped across several health domains: cardiovascular, endocrine and metabolic, cancer, lung, inflammatory and bone, neurological, and sensorimotor. Prevalences for each condition were reported as percentages and were also estimated separately by age group and gender. Additionally, 2 comorbidity indices were created: a Modified Charlson Comorbidity Index (CCI) that included conditions associated with mortality risk and the NSHAP Comorbidity Index (NCI) that included conditions from the Modified CCI as well as additional conditions related to overall health and function. RESULTS Hypertension, incontinence, arthritis, heart conditions, cancer, and diabetes were the most prevalent conditions. In general, prevalences of most chronic conditions increased with age. Additionally, there were several notable gender differences in chronic condition prevalence. Due to the inclusion of highly prevalent conditions, such as hypertension and incontinence, the mean comorbidity index score of the NCI was higher than that of the Modified CCI. DISCUSSION Wave 2 of NSHAP included a variety of measures assessing the chronic conditions that are the most prevalent in older adults. These data are a valuable resource for the study of the impact of chronic conditions on overall health and aging.


Journal of Geriatric Oncology | 2017

How should older adults with cancer be evaluated for frailty

Megan Huisingh-Scheetz; Jeremy D. Walston

Traditionally used as a descriptive term, frailty is now a recognized medical syndrome identifying individuals with decreased physiologic reserve. Frailty is characterized by diminished strength, endurance, and reduced physiologic function. Several valid frailty screening tools exist in the literature, and these measures have been used to relate frailty to outcomes important to the older patient with cancer. Frail adults are at increased risk of adverse surgical outcomes and early findings suggest that frailty predicts poor chemotherapy tolerance. While much research is needed to explore the biologic relationships between frailty and cancer, there is an urgent need to implement frailty screening and management into the care of the older patient with cancer in order to improve outcomes in this vulnerable subset. The purpose of this paper is to provide an introduction of frailty to oncologists including a review of the definition, frailty screening tools, its clinical relevance to older patients with cancer, and a brief guide to frailty management.


Journal of the American Geriatrics Society | 2016

Global Sensory Impairment in Older Adults in the United States

Camil Correia; Kevin J. Lopez; Kristen Wroblewski; Megan Huisingh-Scheetz; David W. Kern; Rachel Chen; L P. Schumm; William Dale; Martha K. McClintock; Jayant M. Pinto

To determine whether there may be a common mechanism resulting in global sensory impairment of the five classical senses (vision, smell, hearing, touch, and taste) in older adults.


Alzheimer Disease & Associated Disorders | 2015

Evaluation of a Brief Survey Instrument for Assessing Subtle Differences in Cognitive Function Among Older Adults.

Ashwin Kotwal; Philip Schumm; David W. Kern; Martha K. McClintock; Linda J. Waite; Joseph W. Shega; Megan Huisingh-Scheetz; William Dale

Most measures of cognitive function used in large-scale surveys of older adults have limited ability to detect subtle differences across cognitive domains, and standard clinical instruments are impractical to administer in general surveys. The Montreal Cognitive Assessment (MoCA) can address this need, but has limitations in a survey context. Therefore, we developed a survey adaptation of the MoCA, called the MoCA-SA, and describe its psychometric properties in a large national survey. Using a pretest sample of older adults (n=120), we reduced MoCA administration time by 26%, developed a model to accurately estimate full MoCA scores from the MoCA-SA, and tested the model in an independent clinical sample (n=93). The validated 18-item MoCA-SA was then administered to community-dwelling adults aged 62 to 91 as part of the National Social life Health and Aging Project Wave 2 sample (n=3196). In National Social life Health and Aging Project Wave 2, the MoCA-SA had good internal reliability (Cronbach &agr;=0.76). Using item-response models, survey-adapted items captured a broad range of cognitive abilities and functioned similarly across sex, education, and ethnic groups. Results demonstrate that the MoCA-SA can be administered reliably in a survey setting while preserving sensitivity to a broad range of cognitive abilities and similar performance across demographic subgroups.


Archives of Gerontology and Geriatrics | 2016

Relating wrist accelerometry measures to disability in older adults

Megan Huisingh-Scheetz; Masha Kocherginsky; Elizabeth Magett; Patricia Rush; William Dale; Linda J. Waite

OBJECTIVE This analysis assessed the extent to which: (1) wrist accelerometer measures were associated with difficulty performing specific activities of daily living and instrumental activities of daily living and (2) these measures contributed important information about disability beyond a typical self-reported vigorous activity frequency question. METHODS We used data from the National Social Life, Health and Aging Project (NSHAP) accelerometry sub-study (n=738). Activity was assessed using two wrist-accelerometer measures assessed over 3 days (routine activity expressed as mean count/15s epoch during wake time, and immobile time expressed as the proportion of wake time spent immobile), and self-reported average vigorous activity frequency. The association between routine activity, immobile time and difficulty performing fourteen activities of daily living (ADLs) and instrumental activities of daily living (IADLs) plus two summary measures (any ADL or IADL difficulty), was assessed using logistic regression models, with and without controlling for self-reported vigorous activity. RESULTS Self-reported activity was mildly correlated with routine activity (r=0.27) and immobile time (r=-0.21). Routine activity, immobile time, and self-reported vigorous activity were significantly associated with twelve, ten, and fourteen disability measures, respectively. After controlling for self-reported activity, significant associations remained between routine activity and eight disabilities, and immobile time and six disabilities. CONCLUSION Wrist accelerometry measures were associated with many ADL and IADL disabilities among older adults. Wrist acclerometry in older adults may be useful to help assess disability risks and set individualized physical activity targets.


PLOS ONE | 2017

Measuring physical activity with hip accelerometry among U.S. older adults: How many days are enough?

Masha Kocherginsky; Megan Huisingh-Scheetz; William Dale; Diane S. Lauderdale; Linda J. Waite; Dominique Heymann

Introduction Accelerometers are increasingly used in research. Four to 7 days of monitoring is preferred to estimate average activity but may be burdensome for older adults. We aimed to investigate: 1) 7-day accelerometry protocol adherence, 2) demographic predictors of adherence, 3) day of the week effect, and 4) average activity calculated from 7 versus fewer days among older adults. Methods We used the 2003–2006 older adult hip accelerometry data from the National Health and Nutrition Examination Survey (NHANES) sample. We determined proportions with 1–7 valid (10–20 hours) wear days and identified wear day correlates using ordinal logistic regression. We determined the day of week effect on 5 accelerometry measures (counts per minute, CPM; % sedentary behavior; % light-lifestyle activity; % moderate-vigorous activity, MVPA; total activity counts) using multivariate linear regression and compared averages estimated over 2 or 3 versus 7 days using correlations, linear regression, and Bland-Altman plots. Results Among 2,208 participants aged 65+, 85% of participants had ≥2 and 44% had 7 valid wear days. Increasing age (p = 0.01) and non-white race (p < 0.001) were associated with fewer days. Daily CPM, % MVPA, and total daily activity counts were similar Monday through Saturday, but significantly lower on Sundays (p < 0.001). Daily % sedentary behavior and % light-lifestyle activity were significantly different on Saturdays (p = 0.04–0.045) and Sundays (p < 0.001) compared to weekdays. Among participants with 7 valid days, 2 or 3 day averages were highly correlated with 7 day averages for all 5 accelerometry measures (2 versus 7 days: r = 0.90–0.93, 3 versus 7 days: r = 0.94–0.96). Conclusions Protocols of 2–3 days, adjusting for Sundays (average CPM, % moderate-vigorous activity, and average total daily activity counts) or weekends (% sedentary behavior and % light-lifestyle activity), give reliable estimates of older adult activity.


Journals of Gerontology Series A-biological Sciences and Medical Sciences | 2018

The Relationship Between Physical Activity and Frailty Among U.S. Older Adults Based on Hourly Accelerometry Data

Megan Huisingh-Scheetz; Kristen Wroblewski; Masha Kocherginsky; Elbert S. Huang; William Dale; Linda J. Waite; L. Philip Schumm

Background/Objectives Accelerometry measures older adult (in)activity with high resolution. Most studies summarize activity over the entire wear time. We extend prior work by analyzing hourly activity data to determine how frailty and other characteristics relate to activity among older adults. Methods Using wrist accelerometry data collected from the National Social Life, Health and Aging Project (n = 651), a nationally-representative probability sample of older adults, we used mixed effects linear regression to model the logarithm of hourly counts per minute as a function of an adapted phenotypic frailty score, adjusting for demographic and health characteristics, season, day of week and time of day. Results Higher frailty scores were associated with modestly lower activity; each frailty point (0-4) corresponded to a 7% lower mean hourly counts per minute. Older age, more comorbidities, male gender, and higher BMI were also associated with lower activity, though the latter was not evident among frail respondents. After adjusting for differences associated with frailty and other covariates, a substantial amount of between-individual variability in activity remained, as well as within-individual variability across days. Conclusion Our findings indicate that frail elders, men, those who are older, overweight or have multiple comorbidities are most likely to have low activity. However, residual differences between individuals remain larger than the differences associated with frailty and other covariates. We suggest defining individual-specific activity goals and further research to identify the sources of between-individual variability to better understand how activity reflects health status and to permit the development of more effective interventions.


Journal of the American Geriatrics Society | 2017

Global Sensory Impairment Predicts Morbidity and Mortality in Older U.S. Adults

Jayant M. Pinto; Kristen Wroblewski; Megan Huisingh-Scheetz; Camil Correia; Kevin J. Lopez; Rachel Chen; David W. Kern; Philip Schumm; William Dale; Martha K. McClintock

To evaluate global sensory impairment (GSI, an integrated measure of sensory dysfunction) as a predictor of physical function, cognition, overall health, and mortality.


Journal of the American Geriatrics Society | 2016

Wrist Accelerometry in the Health, Functional, and Social Assessment of Older Adults

Megan Huisingh-Scheetz; Masha Kocherginsky; Lara R. Dugas; Carolyn Payne; William Dale; David E. Conroy; Linda J. Waite

1. Johnson JR, Bross P, Cohen M et al. Approval summary: Imatinib mesylate capsules for treatment of adult patients with newly diagnosed Philadelphia chromosome-positive chronic myelogenous leukemia in chronic phase. Clin Cancer Res 2003;9:1972–1979. 2. Chen Y, Wang H, Kantarjian H et al. Trends in chronic myeloid leukemia incidence and survival in the United States from 1975 to 2009. Leuk Lymphoma 2013;54:1411–1417. 3. Mandal R, Bolt DM, Shah BK. Disparities in chronic myeloid leukemia survival by age, gender, and ethnicity in preand post-imatinib eras in the US. Acta Oncol 2013;52:837–841. 4. Lee SJ, Anasetti C, Horowitz MM et al. Initial therapy for chronic myelogenous leukemia: Playing the odds. J Clin Oncol 1998;16:2897–2903. 5. Overview of the SEER Program [on-line]. Available at http://seer.cancer.gov/ about/overview.html Accessed September 1, 2015. 6. Hochhaus A, O’Brien SG, Guilhot F et al. IRIS Investigators. Six-year follow-up of patients receiving imatinib for the first-line treatment of chronic myeloid leukemia. Leukemia 2009;23:1054–1061. 7. Kantarjian HM, Talpaz M, O’Brien S et al. Survival benefit with imatinib mesylate versus interferon-alpha-based regimens in newly diagnosed chronicphase chronic myelogenous leukemia. Blood 2006;108:1835–1840. 8. Wiggins CL, Harlan LC, Nelson HE et al. Age disparity in the dissemination of imatinib for treating chronic myeloid leukemia. Am J Med 2010;123:e1– e9. 9. Blustein J, Weiss LJ. Visits to specialists under Medicare: Socioeconomic advantage and access to care. J Health Care Poor Underserved 1998;9:153– 169.


PLOS ONE | 2017

Correction: Measuring Physical Activity with Hip Accelerometry among U.S. Older Adults: How Many Days Are Enough?

Masha Kocherginsky; Megan Huisingh-Scheetz; William Dale; Diane S. Lauderdale; Linda J. Waite

[This corrects the article DOI: 10.1371/journal.pone.0170082.].

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William Dale

City of Hope National Medical Center

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