and adolescents. We conducted a secondary data analysis of the National Survey of Children’s Health (NSCH) to (a) identify unique clusters of child, household, and neighborhood characteristics associated with the prevalence of daily PA (in alignment with the National Physical Activity Guidelines for
Samantha M. Ross, Ellen Smit, Joonkoo Yun, Kathleen R. Bogart, Bridget E. Hatfield, and Samuel W. Logan
Carla L. Dellaserra, Noe C. Crespo, Michael Todd, Jennifer Huberty, and Sonia Vega-López
behavioral factors (eg, intention to exercise) are possible mediating factors linking acculturation level and PA (total and leisure-time activity) among MA adults. Methods Participants This study was a secondary data analysis using self-reported questionnaire data from a cross-sectional study examining
Mindy Patterson, Wanyi Wang, and Alexis Ortiz
equation to determine REE. Data were obtained from the Interactive and Activity Tracking in American Association of Retired Persons (AARP) or IDATA study and analyzed as a secondary data analysis. The following manuscript includes a description of the population that participated in the IDATA study and a
Wendy J. Brown and Yvette D. Miller
National physical activity data suggest that there is a considerable difference in physical activity levels of US and Australian adults. Although different surveys (Active Australia and BRFSS) are used, the questions are similar. Different protocols, however, are used to estimate “activity” from the data collected. The primary aim of this study was to assess whether the 2 approaches to the management of PA data could explain some of the difference in prevalence estimates derived from the two national surveys.
Secondary data analysis of the most recent AA survey (N = 2987).
15% of the sample was defined as “active” using Australian criteria but as “inactive” using the BRFSS protocol, even though weekly energy expenditure was commensurate with meeting current guidelines. Younger respondents (age < 45 y) were more likely to be “misclassified” using the BRFSS criteria.
The prevalence of activity in Australia and the US appears to be more similar than we had previously thought.
Matteo Ponzano, Jenna C. Gibbs, Jonathan D. Adachi, Maureen C. Ashe, Angela M. Cheung, Keith D. Hill, David Kendler, Aliya A. Khan, Caitlin McArthur, Alexandra Papaioannou, Lehana Thabane, John D. Wark, and Lora M. Giangregorio
Fear of falling is a common issue among older adults, which decreases quality of life and leads to an avoidance of activities they are still able to do. The goal of this secondary data analysis was to explore the relationship between fear of falling and exercise self-efficacy in 141 women with at least one nontraumatic Genant Grade 2 vertebral fracture. Fear of falling, exercise self-efficacy, history of falling, the number of falls, the use of assisting devices, and pain at rest or during movement were obtained using medical history and health status questionnaires. There was a negative association between fear of falling and exercise self-efficacy (pseudo R 2 = .253; p = .004), which persisted when the analysis was adjusted for history and number of falls, use of assistive devices, and pain at rest (pseudo R 2 = .329; p < .0001) or during movement (pseudo R 2 = .321; p < .0001). Fear of falling may be negatively associated with exercise self-efficacy in older women with vertebral fracture.
John A. Batsis, Cassandra M. Germain, Elizabeth Vásquez, Francisco Lopez-Jimenez, and Stephen J. Bartels
Physical activity (PA) improves function in older obese adults. However, body mass index is an unreliable adiposity indicator better reflected by waist circumference (WC). The impact of PA on physical impairment and mobility with high WC is unclear. We performed a secondary data analysis of 4,976 adults ≥ 60 years of age using the National Health and Nutrition Examination Survey (NHANES) 2005–2010. Physical limitations (PL), activities of daily living (ADL) impairments, and PA (low = < 1 day/week or high = > 1 day/week) were self-reported. WC was dichotomized (females: 88 cm; males: 102 cm). Mean age was 70.1 years and 55.1% were female. Prevalence of PL and ADL impairment in the high WC group were 57.7% and 18.8%, respectively, and high PA was present in 53.9%. Among those with high WC, high PA vs. low PA participants were at lower risk of PL (OR 0.58 [0.48−0.70]) and ADL impairment (OR 0.46 [0.32−0.65]). Those with high WC had higher odds of PL irrespective of PA (high PA: OR 1.57 [1.30−1.88]; low PA: OR 1.52 [1.29−1.79]) and ADL impairment (high PA: OR 1.27 [1.02−1.57] and low PA: OR 1.24 [0.99−1.54]). High PA in viscerally obese individuals is associated with impairments.
Patrick B. Wilson
Psoriasis confers risk for cardiometabolic disorders. Cardiorespiratory fitness is inversely associated with risk of cardiometabolic disorders in other populations, but limited data have been published assessing cardiorespiratory fitness among individuals with psoriasis. This investigation aimed to: 1) assess cardiorespiratory fitness among individuals with psoriasis in the general population; and 2) compare levels to individuals without psoriasis.
A secondary data analysis from the 2003–2004 National Health and Nutritional Examination Survey was performed. Cardiorespiratory fitness was assessed with a treadmill test, while measures of psoriasis severity included rating of psoriasis as a life problem and body surface area involvement.
Twenty-six of 1093 participants reported a psoriasis diagnosis (population weighted prevalence 2.9%). Individuals with psoriasis had lower cardiorespiratory fitness compared with individuals without psoriasis (36.2 vs. 39.1 mL∙kg-1∙min-1, P = .009). No differences in self-reported or accelerometer physical activity were found by psoriasis diagnosis. Cardiorespiratory fitness was not significantly lower in those reporting high life impairment or body surface area involvement.
Cardiorespiratory fitness may be lower in individuals with psoriasis and these differences may not be explained by self-reported disease severity measures or physical activity. Future studies should examine whether validated measures of psoriasis severity predict lower cardiorespiratory fitness.
Shijun Zhu, Eun-Shim Nahm, Barbara Resnick, Erika Friedmann, Clayton Brown, Jumin Park, Jooyoung Cheon, and DoHwan Park
), and the intervention effect on exercise was maintained at 12 months with biweekly eHealth newsletters and follow-ups. It is not clear, however, whether these changes in exercise were due to changes in self-efficacy or other factors that influence exercise behavior. This secondary data analysis tests
Kevin Mercier, Erin Centeio, Alex Garn, Heather Erwin, Risto Marttinen, and John Foley
’ taught in was reported (urban 42%, suburban 35%, and rural 23%). Finally, 23% of teachers taught in the Northeast region of the United States, 25% in the Midwest, 32% in the South, and 20% from the West. Data Collection Secondary data analysis was conducted using data from the Online Physical Education
participation. Figure 1 A study framework. Materials and Methods Study Design and Sample Frame The current study employed a secondary data analysis using data sampled from the Health and Retirement Study 2014–2015 in the United States. The study sample was composed of 10,700 individuals, with ages ranging