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Adherence to physical activity in an unsupervised setting: Explanatory variables for high attrition rates among fitness center members

Journal of science and medicine in sport, 2016-11, Vol.19 (11), p.916-920 [Peer Reviewed Journal]

Sports Medicine Australia ;2016 Sports Medicine Australia ;Copyright © 2016 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved. ;Copyright Copyright Agency Limited (Distributor) Nov 2016 ;ISSN: 1440-2440 ;EISSN: 1878-1861 ;DOI: 10.1016/j.jsams.2015.12.522 ;PMID: 26874647

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  • Title:
    Adherence to physical activity in an unsupervised setting: Explanatory variables for high attrition rates among fitness center members
  • Author: Sperandei, Sandro ; Vieira, Marcelo C ; Reis, Arianne C
  • Subjects: Adult ; Age ; Body Mass Index ; Brazil ; Central business districts ; Chronic disease ; Exercise ; Female ; Fitness Centers - statistics & numerical data ; Humans ; Longitudinal Studies ; Male ; Motivation ; Physical fitness ; Physical Medicine and Rehabilitation ; Physiology ; Proportional Hazards Models ; Rehabilitation ; Risk ; Sports Medicine ; Survival analysis ; Time Factors ; Variables ; Young Adult
  • Is Part Of: Journal of science and medicine in sport, 2016-11, Vol.19 (11), p.916-920
  • Description: Abstract Objectives To evaluate the attrition rate of members of a fitness center in the city of Rio de Janeiro and the potential explanatory variables for the phenomenon. Design An exploratory, observational study using a retrospective longitudinal frame. Methods The records of 5240 individuals, members of the fitness center between January-2005 and June-2014, were monitored for 12 months or until cancellation of membership, whichever occurred first. A Cox proportional hazard regression model was adjusted to identify variables associated to higher risk of ‘abandonment’ of activities. This study was approved by Southern Cross University's Human Research Ethics Committee (approval number: ECN-15-176). Results The general survival curve shows that 63% of new members will abandon activities before the third month, and less than 4% will remain for more than 12 months of continuous activity. The regression model showed that age, previous level of physical activity, initial body mass index and motivations related to weight loss, hypertrophy, health, and aesthetics are related to risk of abandonment. Combined, those variables represent an important difference in the probability to abandon the gym between individuals with the best and worse combination of variables. Even individuals presenting the best combination of variables still present a high risk of abandonment before completion of 12 months of fitness center membership. Conclusions Findings can assist in the identification of high risk individuals and therefore help in the development of strategies to prevent abandonment of physical activity practice.
  • Publisher: Australia: Elsevier Ltd
  • Language: English
  • Identifier: ISSN: 1440-2440
    EISSN: 1878-1861
    DOI: 10.1016/j.jsams.2015.12.522
    PMID: 26874647
  • Source: AUTh Library subscriptions: ProQuest Central
    MEDLINE
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