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Dive into the research topics where Elizabeth K. Lenz is active.

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Featured researches published by Elizabeth K. Lenz.


International Journal of Behavioral Nutrition and Physical Activity | 2012

Measured and perceived environmental characteristics are related to accelerometer defined physical activity in older adults

Scott J. Strath; Michael J. Greenwald; Raymond Isaacs; Teresa L. Hart; Elizabeth K. Lenz; Christopher J. Dondzila; Ann M. Swartz

BackgroundFew studies have investigated both the self-perceived and measured environment with objectively determined physical activity in older adults. Accordingly, the aim of this study was to examine measured and perceived environmental associations with physical activity of older adults residing across different neighborhood types.MethodsOne-hundred and forty-eight older individuals, mean age 64.3 ± 8.4, were randomly recruited from one of four neighborhoods that were pre-determined as either having high- or low walkable characteristics. Individual residences were geocoded and 200 m network buffers established. Both objective environment audit, and self-perceived environmental measures were collected, in conjunction with accelerometer derived physical activity behavior. Using both perceived and objective environment data, analysis consisted of a macro-level comparison of physical activity levels across neighborhood, and a micro-level analysis of individual environmental predictors of physical activity levels.ResultsIndividuals residing in high-walkable neighborhoods on average engaged in 11 min of moderate to vigorous physical activity per day more than individuals residing in low-walkable neighborhoods. Both measured access to non-residential destinations (b = .11, p < .001) and self-perceived access to non-residential uses (b = 2.89, p = .031) were significant predictors of time spent in moderate to vigorous physical activity. Other environmental variables significantly predicting components of physical activity behavior included presence of measured neighborhood crime signage (b = .4785, p = .031), measured street safety (b = 26.8, p = .006), and perceived neighborhood satisfaction (b = .5.8, p = .003).ConclusionsOlder adult residents who live in high-walkable neighborhoods, who have easy and close access to nonresidential destinations, have lower social dysfunction pertinent to crime, and generally perceive the neighborhood to a higher overall satisfaction are likely to engage in higher levels of physical activity behavior. Efforts aimed at promoting more walkable neighborhoods could influence activity levels in older adults.


International Journal of Behavioral Nutrition and Physical Activity | 2012

Accuracy of uploadable pedometers in laboratory, overground, and free-living conditions in young and older adults

Christopher J. Dondzila; Ann M. Swartz; Nora E. Miller; Elizabeth K. Lenz; Scott J. Strath

PurposeThe purpose of this study was to examine the accuracy of uploadable pedometers to accurately count steps during treadmill (TM) and overground (OG) walking, and during a 24 hour monitoring period (24 hr) under free living conditions in young and older adults.MethodsOne hundred and two participants (n=53 aged 20–49 yrs; n=49 aged 50–80 yrs) completed a TM protocol (53.6, 67.0, 80.4, 93.8, and 107.2 m/min, five minutes for each speed) and an OG walking protocol (self-determined “< normal”, “normal”, and “> normal” walking speeds) while wearing two waist-mounted uploadable pedometers (Omron HJ-720ITC [OM] and Kenz Lifecorder EX [LC]). Actual steps were manually tallied by a researcher. During the 24 hr period, participants wore a New Lifestyles-1000 (NL) pedometer (standard of care) attached to a belt at waist level over the midline of the left thigh, in addition to the LC on the belt over the midline of the right thigh. The following day, the same procedure was conducted, replacing the LC with the OM. One-sample t-tests were performed to compare measured and manually tallied steps during the TM and OG protocols, and between steps quantified by the NL with that of the OM and LC during the 24 hr period. Mean error step scores (MES, criterion – device) and 95% Limits of Agreement (LoA) were calculated.ResultsThere were no significant differences between the OM and tallied steps for any of the TM speeds for either the young or older adult groups. The LC significantly underestimated steps for the young adult group during the 53.6 m/min TM speed (MES 31.4 [14.5, 48.3]) and during the OG < normal walking speed (MES 12.0 [0.9, 23.1] (p<0.01 for both age groups). The LC also significantly underestimated steps for the older adult group during the TM speeds of 53.6 m/min (MES 64.5 [45.6, 83.4]), 67.0 m/min (MES 15.1 [6.1, 24.0]), and 80.4 m/min (MES 3.2 [0.6, 5.9]) (p<0.01 for all speeds), in addition to the OG < normal walking speed (MES 14.7 [−13.3, 42.6] (p<0.01). The OM reported significantly lower steps during the 24 hr period for the young adult group by 949.1 steps (t=6.111, p<0.025) and for the older adult group by 612.9 steps (t=2.397, p<0.025).ConclusionBoth the OM and LC pedometers were more accurate as TM and OG walking speed increased. The OM significantly underestimated steps during the 24 hr compared with a standard of care evaluation. Overall, both uploadable pedometers appear acceptable to use in young or old age groups to measure walking behavior.


Journal of Applied Gerontology | 2017

Efficacy of an Individually Tailored, Internet-Mediated Physical Activity Intervention in Older Adults: A Randomized Controlled Trial:

Taylor W. Rowley; Elizabeth K. Lenz; Ann M. Swartz; Nora E. Miller; Hotaka Maeda; Scott J. Strath

Objective: This study determined the effectiveness of an individually tailored, Internet-mediated physical activity (PA) intervention for increasing walking behavior in inactive older adults. Method: This 12-week randomly controlled intervention divided participants (N = 170) into three groups: control (CON, n = 51), pedometer only (PED, n = 62), and an individually tailored, Internet-mediated pedometer (TI-PED, n = 57) group. The PED group was instructed to increase weekly step count by 10% until 10,000 steps per day was achieved. The TI-PED group was given the same goal and received tailored feedback via an online platform. Changes in average step count pre-to-post were assessed. Results: Total retention rate at postintervention was 75.3%. PED (p < .001) and TI-PED (p < .001) increased step count pre-to-post, which was higher than the CON group at 12 weeks (PED, p < .001; TI-PED, p < .001). The TI-PED group had a higher step count at 12 weeks than the PED group (p < .001). Discussion: Individually tailored, Internet-mediated PA interventions are an effective way to significantly increase PA in older adults.


British Journal of Visual Impairment | 2017

Physical activity patterns of adults with visual impairments

Brooke E. Starkoff; Elizabeth K. Lenz; Lauren J. Lieberman; John T. Foley; Danny Too

This study examined physical activity (PA) patterns in adults with visual impairments (VI) using the International Physical Activity Questionnaire–Short Form, assessing moderate physical activity (MPA), vigorous physical activity (VPA), and moderate-to-vigorous physical activity (MVPA). A total of 115 individuals (age: 36.1 ± 13.9 years, body mass index [BMI]: 28 ± 6.9 kg/m2) with VI completed the study. One-way analyses of variance (ANOVAs) were performed on VI (B1, B2, B3, and B4), collapsed VI (blind [B1] vs VI [B2–B4]), gender, and BMI across PA. A 2 × 4 factor ANOVA examined the impact of gender and BMI on PA. B2 walked more than B1 (p = .021) and walk time was less in B1 (p = .021) than VI. Males accumulated more MPA (p = .002) and MVPA (p = .008), and a greater percentage of males acquired recommended PA (p = .008). Overweight participants acquired more VPA than normal-weight participants (p = .020). A main effect for gender (p = .000) and interaction between gender and BMI (p = .049) were identified with MPA. Differences in PA based on VI may be a result of barriers specific to B1, suggesting the need for education in this population.


Journal of Aging and Physical Activity | 2015

Dose-response walking activity and physical function in older adults.

Christopher J. Dondzila; Keith P. Gennuso; Ann M. Swartz; Sergey Tarima; Elizabeth K. Lenz; Stephanie S. Stein; Randal J. Kohl; Scott J. Strath


Disability and Health Journal | 2016

Sedentary behavior in adults with visual impairments

Brooke E. Starkoff; Elizabeth K. Lenz; Lauren J. Lieberman; John T. Foley


International Journal of Kinesiology and Sports Science | 2014

Do Sedentary Behaviors Modify the Health Status of Older Adults

Elizabeth K. Lenz; Ann M. Swartz; Scott J. Strath


Archive | 2015

Television Time and the Relationship to Obesity in Adults with Visual Impairments Abstract

Lauren J. Lieberman; John T. Foley; Brooke E. Starkoff; Elizabeth K. Lenz


Human Movement | 2013

Habitual physical activity patterns of inner-city children

Jennifer Harmon; Timothy A. Brusseau; Douglas Collier; Elizabeth K. Lenz


Medicine and Science in Sports and Exercise | 2016

Self-Reported Physical Activity and Sitting in Adults with Visual Impairments: 2575 Board #98 June 3, 9: 30 AM - 11: 00 AM.

Elizabeth K. Lenz; Brooke E. Starkoff; Lauren J. Lieberman; John T. Foley; Danny Too

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Brooke E. Starkoff

State University of New York at Brockport

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Lauren J. Lieberman

State University of New York at Brockport

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Ann M. Swartz

University of Wisconsin–Milwaukee

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John T. Foley

State University of New York at Cortland

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Scott J. Strath

University of Wisconsin–Milwaukee

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Danny Too

State University of New York at Brockport

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Joanna Colgan

Pennsylvania State University

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Melissa Bopp

Pennsylvania State University

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Nora E. Miller

University of Wisconsin–Milwaukee

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