Descriptive Assessment of Exercise Program on Fitness and Correlates of Participation

Lanier, Angela B.; Jackson, Erica M.; Azar-Dickens, John; Anderson, Brock; Briggs, Meredith

doi:10.5993/ajhb.36.5.7

Cited by 5 publications

(2 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…First, results from the present study provide support that enjoyment is significantly influenced with PA (Lanier, Jackson, Azar-Dickens, Anderson, & Briggs, 2012;Pasco et al, 2011). It was hypothesised that ratings of PA motivation would increase over 8 weeks.…”

Section: Discussionsupporting

confidence: 69%

Technology and physical activity motivation

Bice¹,

Ball

McClaran

2015

International Journal of Sport and Exercise Psychology

View full text Add to dashboard Cite

Technological devices have evolved into a popular social trend becoming a part of many people's daily life. As a result, technology devices are becoming more commonly used for different tasks and activities. The current study examined if wearing a Nike Fuelband (FB) SE increased physical activity (PA) motivation for an adult population. The research design included an 8-week, pre-/post-test intervention. The inclusion of the FB SE served as the research intervention. Participants (n = 42) included two convenient samples located in Colorado and Nebraska. Prior to study investigation, participants were trained how to use all the functions of the device, associated Nike+ Connect program, and given additional resources for reference. Participants completed the Exercise Motivation Inventory-2 before device training and post 8 weeks. Pre-and post-data were analysed using a paired t-test. The current study reports that significant differences were present among the measured constructs of affiliation, enjoyment, challenge, and positive health motivation. Participants who used the FB reported a significant increase in the motivation constructs of affiliation, enjoyment, challenge, and positive health motivation over an 8-week intervention. This study suggests that electronic activity-tracking devices can be valuable tools for behaviour change, aiding efforts to increase adult PA levels and decrease trends of obesity.

show abstract

Section: Discussionsupporting

confidence: 69%

Technology and physical activity motivation

Bice¹,

Ball

McClaran

2015

International Journal of Sport and Exercise Psychology

View full text Add to dashboard Cite

show abstract

“…During the last decade, several schedules for preparing halfmarathon have been published including different strategies regarding the volume and the intensity of the training. There are programs prioritizing MICT with maximal weekly running volumes of 40 km and long run sessions of 25 km (Galloway and Galloway, 2012), contrasting to those where HIIT and fast pace short distance runs predominate (Lanier et al, 2012). Other schedules alternate high-volume programs with speed and hill training (Hamilton and Sorace, 2018) or with resistance training (Hagerman, 2005).…”

Section: Introductionmentioning

confidence: 99%

Inter-Individual Different Responses to Continuous and Interval Training in Recreational Middle-Aged Women Runners

et al. 2020

View full text Add to dashboard Cite

A crucial subject in sports is identifying the inter-individual variation in response to training, which would allow creating individualized pre-training schedules, improving runner's performance. We aimed to analyze heterogeneity in individual responses to two half-marathon training programs differing in running volume and intensity in middleaged recreational women. 20 women (40 ± 7 years, 61 ± 7 kg, 167 ± 6 cm, and VO 2 max = 48 ± 6 mL•kg −1 •min −1) underwent either moderate-intensity continuous (MICT) or high-intensity interval (HIIT) 12-week training. They were evaluated before and after training with maximal incremental tests in the laboratory (VO 2 max) and in the field (time to exhaustion, TTE; short interval series and long run). All the women participated in the same half-marathon and their finishing times were compared with their previous times. Although the improvements in the mean finishing times were not significant, MICT elicited a greater reduction (3 min 50 s, P = 0.298), with more women (70%) improving on their previous times, than HIIT (reduction of 2 min 34 s, P = 0.197, 50% responders). Laboratory tests showed more differences in the HIIT group (P = 0.008), while both groups presented homogeneous significant (P < 0.05) increases in TTE. Both in the short interval series and in the long run, HIIT induced better individual improvements, with a greater percentage of responders compared to MICT (100% vs 50% in the short series and 78% vs 38% in the long run). In conclusion, variability in interindividual responses was observed after both MICT and HIIT, with some participants showing improvements (responders) while others did not (non-responders) in different performance parameters, reinforcing the idea that individualized training prescription is needed to optimize performance.

show abstract