Effects of a Pedometer-Based Physical Activity Program on Older Adults' Mobility-Related Self-Efficacy and Physical Performance

Croteau, Karen A.; Richeson, Nancy E.; Vines, Susan; Jones, David B.

doi:10.1300/j016v28n02_02

Cited by 19 publications

(37 citation statements)

References 29 publications

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“…Objective measures were used in 12 of the studies reviewed while self-report were used in 32 studies 28 31 32 34–38 40–48 50 51 53–55 57–61 63 64 66 69 70. Six studies used multiple measures29 33 39 47 52 62 and three studies used a combination of objective measures and self-report 29 33 39…”

Section: Resultsmentioning

confidence: 99%

“…Among those using self-report, four studies used multiple measures,29 33 39 47 with three of them also using objective measures,29 33 39 and the remaining study utilising two different self-reports 47. Studies using self-report ranged in size from 16 to 1800 participants 28 29 31–48 50 51 53–55 57–61 63 64 66 69 70…”

Section: Resultsmentioning

confidence: 99%

“…Of the 32 studies that used self-report, the most commonly used measure was the Community Health Activities Model Program for Seniors Physical Activity Questionnaire (CHAMPS); it was used in eight studies 34 35 43 46 48 55 64 70. Other frequently used self-reports included the Physical Activity Scale for the Elderly (used in three studies as the primary measure of PA, and once as a secondary measure)3 32 33 47 and the Yale Physical Activity Survey (used in two studies as a primary measure of PA, and once as a secondary measure) 39 58 59. Three separate studies used unnamed questionnaires 41 42 54…”

Section: Resultsmentioning

confidence: 99%

“…Of the 12 studies that utilised objective measures, 6 used hip accelerometers,29 49 52 62 68 71 2 used wrist accelerometers56 65 and four studies used pedometers 30 33 39 67. Additionally, two studies used direct observation as a secondary measure of PA (hip accelerometry was the primary measure in both these studies) 52 62.…”

Section: Resultsmentioning

confidence: 99%

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Measurement of physical activity in older adult interventions: a systematic review

et al. 2015

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A majority of intervention studies to help increase older adult PA used self-report measures, even though many have little evidence of validity and reliability. We recommend that future researchers utilise valid and reliable measures of PA with well-established evidence of psychometric properties such as hip-accelerometers and the Community Health Activities Model Program for Seniors (CHAMPS) Physical Activity Questionnaire for Older Adults.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Measurement of physical activity in older adult interventions: a systematic review

et al. 2015

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“…While the participants in the pedometer group had an increase of 819 daily step counts over baseline levels, improvements reverted to near baseline levels at 3 months postintervention. In a pilot study on older adults (M age = 80 years) residing in an assisted living facility, no improvement in daily step counts was found after a 4-week pedometer-based intervention (Croteau, Richeson, Vines, & Jones, 2004).…”

mentioning

confidence: 93%

Effect of a Pedometer-Based Intervention on Daily Step Counts of Community-Dwelling Older Adults

Croteau

Richeson

Farmer

et al. 2007

Research Quarterly for Exercise and Sport

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This study investigated the effect of a 12-week pedometer-based intervention on daily step counts of 147 older adults randomly assigned to an intervention or wait-list control group (M age = 72.9 years, SD = 8.8). The intervention group significantly increased their daily step counts after 12 weeks (M=639, SD=2239) and continued to significantly increase during a 12-week maintenance period (M=680, SD=1721). The control group exhibited no change during the control period (M = -393, SD=2050) but had a significant increase in daily step counts (M=1580, SD=2305) when enrolled in the intervention. The pedometer-based intervention was effective in increasing participants' daily step counts.

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Examining the Association between Intervention-Related Changes in Diet, Physical Activity, and Weight as Moderated by the Food and Physical Activity Environments among Rural, Southern Adults

Pitts¹,

Keyserling²,

Johnston³

et al. 2017

Journal of the Academy of Nutrition and Dietetics

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Background Few studies have been conducted in rural areas assessing the influence of community-level environmental factors on residents’ success improving lifestyle behaviors. Objective To examine whether 6-month changes in diet, physical activity, and weight were moderated by the food and physical activity environment in a rural adult population receiving an intervention designed to improve diet and physical activity. Design We examined associations between self-reported and objectively-measured changes in diet, physical activity, and weight, and perceived and objectively-measured food and physical activity environments. Participants were followed for 6 months. Participants/Setting Participants were enrolled in the Heart Healthy Lenoir (HHL) Project, a lifestyle intervention study conducted in Lenoir County, located in rural southeastern NC. Sample sizes ranged from 132 to 249, depending upon the availability of the data. Intervention Participants received 4 counseling sessions that focused on healthy eating (adapted Mediterranean diet pattern) and increasing physical activity. Potential moderating factors Density of and distance to food and physical activity venues, modified food environment index, Walk Score®, crime, and perceived nutrition and physical activity neighborhood barriers. Outcome Measures Diet quality, physical activity, and weight loss. Statistical Analyses Correlation and linear regression, controlling for potential confounders (baseline values of the dependent variables, age, race, education, and sex). Results In adjusted analysis, there was an inverse association between weight change and the food environment, suggesting that participants who lived in a less healthy food environment lost more weight over the 6-month intervention period (P = 0.01). Also, there was a positive association between self-reported physical activity and distance to private gyms (P = 0.04) and an inverse association between private gym density and pedometer-measured steps (P = 0.03), indicating that those who lived further from gyms and in areas with lower density of gyms had greater increases in physical activity and steps, respectively. Conclusions Contrary to our hypotheses, results indicated that those living in less favorable food and physical activity environments had greater improvements in diet, PA and weight, compared to those living in more favorable environments. Additional research should be undertaken to address these paradoxical findings, and if confirmed, to better understand them.

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Effects of a Pedometer-Based Physical Activity Program on Older Adults' Mobility-Related Self-Efficacy and Physical Performance

Cited by 19 publications

References 29 publications

Measurement of physical activity in older adult interventions: a systematic review

Measurement of physical activity in older adult interventions: a systematic review

Effect of a Pedometer-Based Intervention on Daily Step Counts of Community-Dwelling Older Adults

Examining the Association between Intervention-Related Changes in Diet, Physical Activity, and Weight as Moderated by the Food and Physical Activity Environments among Rural, Southern Adults

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