|Per citare questo articolo|
I TUOI DATI
I TUOI ORDINI
N. prodotti: 0
Totale ordine: € 0,00
I TUOI ABBONAMENTI
I TUOI ARTICOLI
THE JOURNAL OF SPORTS MEDICINE AND PHYSICAL FITNESS
Rivista di Medicina, Traumatologia e Psicologia dello Sport
Indexed/Abstracted in: Chemical Abstracts, CINAHL, Current Contents/Clinical Medicine, EMBASE, PubMed/MEDLINE, Science Citation Index Expanded (SciSearch), Scopus
Impact Factor 1,111
ORIGINAL ARTICLE BODY COMPOSITION, NUTRITION
The Journal of Sports Medicine and Physical Fitness 2017 April;57(4):402-10
Copyright © 2016 EDIZIONI MINERVA MEDICA
A pilot lifestyle intervention study: effects of an intervention using an activity monitor and Twitter on physical activity and body composition
Masato NISHIWAKI 1 ✉, Nana NAKASHIMA 2, Yumi IKEGAMI 2, Ryoko KAWAKAMI 3, Kazumichi KUROBE 4, Naoyuki MATSUMOTO 2
1 Faculty of Engineering, Osaka Institute of Technology, Osaka, Japan; 2 Faculty of Environmental Symbiotic Sciences, Prefectural University of Kumamoto, Kumamoto, Japan; 3 School of Sport Sciences, Waseda University, Saitama, Tokorozawa, Japan; 4 Faculty of Business, Sports Management Course, Hannan University, Osaka, Japan
BACKGROUND: This pilot study aimed to examine the effects of a lifestyle intervention comprising an activity monitor and the concurrent use of Twitter, on physical activity (PA) and body composition.
METHODS: Seventeen healthy volunteers (36±3 years) were randomly assigned to normal (N, N.=8) or Twitter (T, N.=9) intervention groups for six weeks. Participants in both groups wore an activity monitor but those in the T group also tweeted daily about their PA. An observer read the tweets from each participant and provided feedback. Body composition was determined using bioelectrical impedance analysis before and after the intervention.
RESULTS: Significantly more daily steps and PA at an intensity of ≥3 metabolic equivalents (METs) were recorded by the T than the N during six weeks. The number of steps and PA did not significantly change over time in the N, but significantly increased in the T from weeks one to six (8170±1130 to 12,934±1400 steps/day and 2.6±0.5 to 5.0±0.8 METs·h/day). In addition, significantly more body fat was lost in the T, than in the N (-1.1±0.2 vs. -0.1±0.3 kg), and the changes in PA significantly correlated with the changes in body fat (r=-0.713).
CONCLUSIONS: Lifestyle intervention can increase daily PA and reduce body fat more effectively when using an activity monitor and Twitter than an activity monitor alone.
KEY WORDS: Accelerometry - Behavior - Social media - Motor activity - Weight loss - Body composition