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  • Author: Dana L. Wolff-Hughes x
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Dana L. Wolff-Hughes, Eugene C. Fitzhugh, David R. Bassett and Christopher R. Cherry

Background:

Greenways (GW) can be sited and designed in a variety of ways. However, the extent to which siting and design relate to GW user’s demographic characteristics and physical activity (PA) is unknown. The purpose of this study was to compare 2 GWs that differed in terms of their siting and design, with respect to the aforementioned variables.

Methods:

A trail intercept survey measuring PA, modes of GW access, and demographics was administered on 2 GWs (GWlinear vs. GWloop), which varied in siting and design characteristics.

Results:

GWlinear (n = 216), compared with GWloop users (n = 400), accumulated significantly greater volumes of PA from both accessing and using the GW (P = .012). GWlinear users were more likely to be younger, male, and never married; they were also more likely to engage in transportational PA (10.6 vs. 0.3%, P ≤ .001) and access the GW via active transit modes (37.0% vs. 4.2%, P ≤ .001).

Conclusions:

GW siting and design appears to be related to user characteristics, and the types and volumes of PA performed. These results should be considered by GW planners and designers to best serve the PA needs of the community.

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Dana L. Wolff-Hughes, Eugene C. Fitzhugh, David R. Bassett and James R. Churilla

Background:

Accelerometer-derived total activity count is a measure of total physical activity (PA) volume. The purpose of this study was to develop age- and gender-specific percentiles for daily total activity counts (TAC), minutes of moderate-to-vigorous physical activity (MVPA), and minutes of light physical activity (LPA) in U.S. adults.

Methods:

Waist-worn accelerometer data from the 2003-2006 National Health and Nutrition Examination Survey were used for this analysis. The sample included adults >20 years with >10 hours accelerometer wear time on >4 days (N = 6093). MVPA and LPA were defined as the number of 1-minute epochs with counts >2020 and 100 to 2019, respectively. TAC represented the activity counts acquired daily. TAC, MVPA, and LPA were averaged across valid days to produce a daily mean.

Results:

Males in the 50th percentile accumulated 288 140 TAC/day, with 357 and 22 minutes/day spent in LPA and MVPA, respectively. The median for females was 235 741 TAC/day, with 349 and 12 minutes/day spent in LPA and MVPA, respectively.

Conclusions:

Population-referenced TAC percentiles reflect the total volume of PA, expressed relative to other adults. This is a different approach to accelerometer data reduction that complements the current method of looking at time spent in intensity subcategories.

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Dana L. Wolff-Hughes, Eugene C. Fitzhugh, David R. Bassett and James R. Churilla

Purpose:

To contrast associations of accelerometer-measured moderate-to-vigorous physical activity (MVPA) accumulated in bouts and total activity counts (TAC) with cardiometabolic biomarkers in U.S. adults.

Methods:

Using 2003–2006 National Health and Nutrition Examination Survey (NHANES) data, the sample was comprised of adults ≥ 20 years, not pregnant or lactating, with self-reported PA and at least 4 days of ≥ 10 hours accelerometer wear time (N = 5668). Bouted MVPA represented the minutes/day with ≥ 2020 counts/minute in bouts of 10 minutes or longer and TAC represented the total activity counts per day. Biomarkers included: cholesterol, triglyceride, glycohemoglobin, plasma glucose, C-peptide, insulin, C-reactive protein, homocysteine, blood pressure, body mass index (BMI), waist circumference, and skinfolds. Nested regression models were conducted which regressed each biomarker on bouted MVPA and TAC simultaneously, while adjusting for relevant covariates.

Results:

Results indicated TAC was more strongly associated with 11 biomarkers: HDL-C, triglyceride, plasma glucose, C-peptide, insulin, C-reactive protein, homocysteine, systolic blood pressure, waist circumference, triceps skinfold, and subscapular skinfold. Bouted MVPA, however, only displayed stronger associations with BMI.

Conclusions:

The total volume of physical activity, represented by TAC, appears to have stronger associations with cardiometabolic biomarkers than MVPA accumulated in bouts.