Morphological and health-related changes associated with a 12-week self-guided exercise programme in overweight adults: a pilot study

Stewart, Arthur D.; Rolland, Catherine; Gryka, Ania; Findlay, S.; Smith, Sara; Jones, Jacklyn; Davidson, Isobel

doi:10.1080/02640414.2013.812791

Cited by 3 publications

(2 citation statements)

References 26 publications

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“…Increased physical activity in interventional studies may result in a variety of effects including, but not limited to, improved resting cerebrovascular reactivity to hypercapnia (Murrell et al, 2013), reduced arterial pressure (Vicente-Campos et al, 2012), lower total cholesterol and triglycerides (Vicente-Campos et al, 2012), lower BMI and blood pressure (Stewart et al, 2013), better glycemic control (Roberts et al, 2013), reduced chronic low-grade inflammation (Nimmo et al, 2013), increased growth factor levels (Cotman and Berchtold, 2002), better sleep (Dzierzewski et al, 2014), and greater brain neurogenesis (Cotman and Berchtold, 2002). Many of these effects relate to health factors that may modulate AD risk (Launer et al, 2000; Del Bo et al, 2009; Solomon et al, 2009; Lee et al, 2010; Matsuzaki et al, 2011; Piriz et al, 2011; Vargas et al, 2011; Crane et al, 2013; Tolppanen et al, 2013; Di Meco et al, 2014).…”

Section: Discussionmentioning

confidence: 99%

Physical activity, inflammation, and volume of the aging brain

et al. 2014

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Physical activity influences inflammation, and both affect brain structure and Alzheimer’s disease (AD) risk. We hypothesized that older adults with greater reported physical activity intensity and lower serum levels of the inflammatory marker tumor necrosis factor α (TNFα) would have larger regional brain volumes on subsequent magnetic resonance imaging (MRI) scans. In 43 cognitively intact older adults (79.3 ± 4.8 years) and 39 patients with AD (81.9 ± 5.1 years at the time of MRI) participating in the Cardiovascular Health Study, we examined year-1 reported physical activity intensity, year-5 blood serum TNFα measures, and year-9 volumetric brain MRI scans. We examined how prior physical activity intensity and TNFα related to subsequent total and regional brain volumes. Physical activity intensity was measured using the modified Minnesota Leisure Time Physical Activities questionnaire at year 1 of the study, when all subjects included here were cognitively intact. Stability of measures was established for exercise intensity over 9 years and TNFα over 3 years in a subset of subjects who had these measurements at multiple time points. When considered together, more intense physical activity intensity and lower serum TNFα were both associated with greater total brain volume on follow-up MRI scans. TNFα, but not physical activity, was associated with regional volumes of the inferior parietal lobule, a region previously associated with inflammation in AD patients. Physical activity and TNFα may independently influence brain structure in older adults.

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Section: Discussionmentioning

confidence: 99%

Physical activity, inflammation, and volume of the aging brain

et al. 2014

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“…There have been similar reports about the positive effects of walking on fatigue levels in similar populations. 24,25 The reduction in arthritis pain, however, was unexpected. A recent meta-analysis reported that walking did not decrease knee or hip arthritis pain but did improve physical function.…”

Section: Resultsmentioning

confidence: 99%

Active Learning: Lessons From Women With Type 2 Diabetes in a Walking Program

et al. 2019

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Purpose The purpose of this study was to explore the experiences and preferences of sedentary women with type 2 diabetes who had recently completed a pilot 12-week supervised treadmill walking study. Methods A qualitative design was used. Content analysis was used to assess major themes and subthemes embedded within participants’ responses to open-ended questions about their experiences of participating in a walking program. Women were recruited from a database of patients willing to be contacted for research studies. Results Seven inner-city women with type 2 diabetes (71% African American, age 62 ± 4.2 years, A1C 6.8% ± 1.3, years since diagnosis 6.6 ± 3.4 years) completed the postprogram interview. Only 3 of the 7 women had ever received any diabetes education. Four major themes emerged: (1) supportive environment, (2) personal commitment: overcoming ambivalence, (3) learning, and (4) outcomes, and 8 subthemes emerged. A supportive environment (encouraging, person centered, social, and structured) in combination with actively learning about diabetes and self-monitoring the effects of exercise seemed to be associated with personal commitment and confidence in participating in a walking program. Conclusions Active/experiential learning in a supportive environment may enhance both personal diabetes knowledge and behaviors among women with little diabetes education and low activity levels.

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Considerations when using the activPAL monitor in field-based research with adult populations

Edwardson

Winkler

Bodicoat

et al. 2017

Journal of Sport and Health Science

352

402

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Research indicates that high levels of sedentary behavior (sitting or lying with low energy expenditure) are adversely associated with health. A key factor in improving our understanding of the impact of sedentary behavior (and patterns of sedentary time accumulation) on health is the use of objective measurement tools that collect date and time-stamped activity information. One such tool is the activPAL monitor. This thigh-worn device uses accelerometer-derived information about thigh position to determine the start and end of each period spent sitting/lying, standing, and stepping, as well as stepping speed, step counts, and postural transitions. The activPAL is increasingly being used within field-based research for its ability to measure sitting/lying via posture. We summarise key issues to consider when using the activPAL in physical activity and sedentary behavior field-based research with adult populations. It is intended that the findings and discussion points be informative for researchers who are currently using activPAL monitors or are intending to use them. Pre-data collection decisions, monitor preparation and distribution, data collection considerations, and manual and automated data processing possibilities are presented using examples from current literature and experiences from 2 research groups from the UK and Australia.

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Morphological and health-related changes associated with a 12-week self-guided exercise programme in overweight adults: a pilot study

Cited by 3 publications

References 26 publications

Physical activity, inflammation, and volume of the aging brain

Physical activity, inflammation, and volume of the aging brain

Active Learning: Lessons From Women With Type 2 Diabetes in a Walking Program

Considerations when using the activPAL monitor in field-based research with adult populations

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