Prediction of abandonment in Spanish fitness centres

Self-selected vs. prescribed aerobic exercise intensity: impacts on pleasure in women with obesity

Introduction

Self-selection of aerobic training intensity is an approach that allows practitioners to develop autonomy (choice of pace), improve physical fitness, and contribute to better affective responses and training adherence. However, it is still unclear whether self-selection of training intensity in group settings is comparable to individual training conditions. The aim of the present study was to compare the effect of three aerobic training protocols on psychophysiological responses in physically inactive adult obese women.

Methods

The sample consisted of 90 women with a mean age of 48.3 ± 5.5 years and BMI of 31.2 ± 4.8 kg/m2, who participated in three treadmill aerobic training protocols: 1- Control group (IPI) with individually prescribed intensity (64 to 76% of HRmax), 2- Small group (SGS) with self-selected intensity, and 3- Individual with self-selected intensity (ISS). Heart rate (HR), total session volume (VL), affective valence was determined by feeling scale (FS), enjoyment was determined by Physical Activity Enjoyment Scale (PACES), intention to repeat the exercise session (INT), and Basic Psychological Needs Satisfaction Scale (BPNFS) were evaluated. Statistical analyses were conducted using two-way ANOVA for HR and FS, and one-way ANOVA for VL, PACES, INT, and BPNFS with Tukey post hoc test and significance criteria (p < 0.05).

Results

The results showed that HR and VL were similar (p > 0.05) between the protocols IPI, SGS and ISS, while FS, PACES, and INT were significantly higher in SGS and ISS than IPI protocols (p < 0.05). BPNFS also presented better results for the SGS and ISS protocols (p < 0.05).

Discussion

These findings suggest that the intensity and training volume were similar among different protocols. Affective responses were more positive perceived in SGS and ISS protocols.

Conclusion

We conclude that intensity self-selection is a safe, effective, and comparable strategy to prescribed intensity at moderate levels, providing a more enjoyable experience that may contribute to greater adherence to aerobic training.

Impact of fitness coach behavior on exercise motivation, commitment, and enjoyment: A longitudinal study

Fitness coaches seem to play an essential role in the field of exercise as they help prevent sedentary lifestyles and promote overall health, quality of life, and well-being. This study aimed to explore the effects of fitness coaches' behavior perceptions, intrinsic motivation, and enjoyment of exercisers on their long-term fitness and health, as well as their commitment to exercise. A total of 202 individuals participated in the study that was developed over three data gathering occasions (baseline, three months and six months). To this end, three psychometric scales were used as part of a multi-section survey: FCBS-Fit (perception of the fitness coach's behavior), IMIp (intrinsic motivation of exercisers), and PACES (enjoyment in exercise), along with the assessment of four health/fitness variables: anthropometry (i.e., waist-hip ratio), strength (i.e., handgrip strength), flexibility (i.e., sit-and-reach), and cardiorespiratory fitness (i.e., VO2máx.). Overall, the results suggested that the perception of the fitness coach's behavior, the exerciser's intrinsic motivation, and enjoyment were predictors of the health/fitness outcomes, and seemed to be related to the exercise commitment at the end of three and six months. The novelty of this study is the examination of psychological and physiological factors in an integrated and longitudinal manner within the scope of exercise in fitness and health clubs. Therefore, these findings shed light on fitness coaches as an important element in the propagation and maintenance of exercise habits, accomplishment of tangible outcomes by exercisers, health promotion and the fitness sector's growth.

Exploring exercise adherence and quality of life among veteran, novice, and dropout trainees

Introduction

The purpose of this study was to identify and reveal the different contexts, variables, and factors that may influence adherence to physical activity among veteran, novice, and dropout trainees, such as the frequency of the weekly training units, the trainees preferred type of exercise, the purpose of the physical activity, and the relationship between support and supervision by fitness instructors and professionals. This study also examined the relationships between trainees, seniority and the strength of the habit and adherence to physical activity, the effects of personal variables such as age and gender on adherence to physical activity, and how the seniority and adherence of trainees may affect their quality of life.

Methods

A total of 460 participants drawn from the broader Israeli exercise community, which encompasses a diverse range of individuals within the general adult population, were engaged in this study. These participants included seasoned exercisers, individuals who had recently initiated exercise routines, and those who had previously engaged in physical activity. Each participant completed a comprehensive set of questionnaires, including the Self-Report Habit Index, the Exercise Adherence Rating Scale, and the World Health Organization (WHO) Quality of Life Scale. In addition to the questionnaire responses, demographic data and inquiries concerning their physical activity were also collected.

Results

The results show that the average frequency of the weekly training units of veteran trainees was significantly higher than that of novice trainees: 3.95 and 2.93, respectively (p < 0.0001). We found no significant differences between novice and veteran trainees regarding their training goal preferences (p = 0.07). Veteran trainees who had been in training for more than a year appeared to have higher self-efficacy since 31.16% reported receiving no supervision compared to 16.67% among novice trainees. In addition, people over 45 appear to have more health-related goals compared to their younger counterparts (p < 0.001). The quality of life scores of the trainees was related to their seniority in physical training, but only by a small magnitude (R2 = 0.06), p < .001). Those who trained in resistance training showed the greatest rate of adherence in relation to flexibility and aerobic training (p < 0.001), and women preferred more body toning and had more weight loss goals than men (p < 0.001).

Discussion

The results indicate that there are central and important factors that may affect adherence to physical activity, and that all these aspects must be taken into account when planning a training program or when there is a desire to maintain or increase adherence to physical activity. The research findings indicate that the main factors that can influence adherence to physical activity are identifying and increasing the trainee's self-efficacy, maintaining weekly training units with sufficient frequency to form a habit and incorporating resistance training into the training regime, as resistance training has shown high levels of adherence. Moreover, it seems that people with different degrees of experience in physical training have distinct and varied training goals, and there is no one goal that fits all. In addition, specific factors such as age and gender must also be taken into account, because the age and gender of the trainees may significantly affect the goals of physical training.

The AHAWOMEN project: study protocol of a multi-design research for exploring HAPA predictors of exercise in postmenopausal women

BACKGROUND

The postmenopausal period can represent an opportunity for women to improve their health and well-being. The Active and Healthy Ageing in Women during early postmenopause (AHAWOMEN) study aims to identify the key determinants of an active lifestyle among middle-aged women, with a focus on the stages and the social-cognitive variables outlined in the Health Action Process Approach (HAPA) model, a theoretical framework for understanding health behaviour change. We expected that HAPA factors and processes of intention creation (motivational phase) and action adoption (volitional phase) will be significant predictors of exercise initiation and maintenance, supporting both the HAPA tenets and the efficacy of HAPA-based interventions.

METHODS/DESIGN

This study was approved by the authors' Institutional Review Committee. Postmenopausal women aged between 45 and 65 years will voluntarily participate. The participants will be allocated to one of three groups: Intervention-Initiators (n = 100, random allocation), Control-Sedentary (n = 100, random allocation) or Control-Active (n = 100, non-random allocation). The intervention group will engage in a supervised exercise programme lasting at least 3 months, supplemented with a HAPA-based intervention for behaviour change. The sedentary control group will not receive any intervention to change their physical activity, while the active control group will consist of women who are already regularly adhering to an active lifestyle. Study variables will be measured at baseline and postintervention phases, as well as at 1, 3, 6 and 12-month follow-ups. The predictors of exercise behaviour in the different phases of the behavioural change process will be explored and compared within and between groups throughout the study. These analyses will help identify the factors that determine the adoption of a healthy active behaviour. Additionally, the effectiveness of the model and the intervention for changing active behaviour will be evaluated.

DISCUSSION

This paper describes the rationale, development and methods used in the AHAWOMEN project. Supporting women who intend to become active can help them to translate their goals into sustainable action. Verifying that the HAPA predictions are applicable to postmenopausal women's adoption of exercise would provide the basis for designing effective interventions for promoting healthy and active ageing that are also tailored to the experiences of middle-aged women.

TRIAL REGISTRATION

ISRCTN16251361. Registration date: 01/06/2023 (retrospectively registered).

Influence of Sports Participation on the Behaviors of Customers of Sports Services: Linear and Qualitative Comparative Analysis Models

Sports services have become an important enclave for our society. Due to its complete sports offer, customers can perform physical activity that helps them to improve their health and well-being. In fitness centers, managers try to know what their customers are looking for in order to create more personalized experiences, as well as to improve their health. This study seeks to understand the influence that sports frequency has on the future behavior of users of a sports center, using two complementary methodologies. A sample of 383 users of a private sports center was used. The two complementary methodologies used were linear models and comparative qualitative analysis, based on the combination of sets. The results show how sports frequency influences the process of creating users' future behaviors. Considering that none of the variables are necessary, it is observed that perceived value has a significant influence on users' future behaviors. The use of two complementary methodologies provides a more complete understanding, which helps sports managers to plan and manage effectively to ensure user satisfaction and loyalty. In addition, facilities can incentivize customers through loyalty programs and promotions to maintain their engagement, as well as healthy styles to encourage service recommendations.

Evening chronotype predicts dropout of physical exercise: a prospective analysis

Purpose

Eveningness preference to sleep/wake and perform physical/cognitive activities has been associated with worse health outcomes, when compared to morningness preference. Physical activity is one potential mediator that could explain this relationship; however, most of these evidences come from cross-sectional design studies. Our goal was to assess whether chronotype could predict the risk of dropout of physical exercise programs.

Methods

We followed 153 newly enrolled volunteers at three different gyms, from both sexes, aged between 18 and 65 years, during 12 weeks. The daily frequency of exercises in the programs was objectively measured (gym's electronic turnstiles). Using questionnaires, we collected data of variables related to demographic characteristics, health, physical activity, sleep, anthropometric and chronobiological parameters (Morningness-Eveningness Questionnaire-MEQ). Two multivariate models were created using Cox regression analysis to test the risk of dropout of physical exercise practice. Both models accounted for age, educational level, civil status, membership plan duration, physical exercise practice frequency during week 1 and chronotype (MEQ score and chronotypes).

Results

Model 1 results showed that higher MEQ score was associated with a lower chance of quitting the program (HR = 0.98; CI95% 0.95-1.00; p = 0.046). Considering the chronotypes, E-types showed the highest dropout risk compared to that of M-types (HR = 2.22; CI95% 1.09-4.52; p = 0.027).

Conclusion

Our results suggest that chronotype is another variable to be considered in future studies on promoting PAs in formal environments. Likewise, the practice frequency during week 1 and duration of membership plan also deserve more attention in additional studies.

Fitness center use and subsequent achievement of exercise goals. A prospective study on long-term fitness center members

Background

Knowledge on the relationship between fitness center use and long-term members’ subsequent goal achievement is limited. Therefore, the aim was to investigate the prospective association between the use of fitness centers during 18 months and subsequent self-reported goal achievement among long-term members.

Methods

This was a registry- and survey-based longitudinal study of 2851 people who had been members at a Norwegian fitness center chain for more than two years. Fitness center use from December 2016 to June 2018 was obtained from registry data. Subsequent goal achievement was measured in a survey in June 2018, assessed by a 1–100 visual analogue scale, and a score between 0 and 50 was defined as low goal achievement.

Results

Visiting the fitness center frequently and regularly, and having frequent group activity bookings were associated with higher subsequent self-reported goal achievement. Participants with fewest visits (1–57 days) during 18 months were more likely to report low goal achievement than participants with most visits (118–543 days) (OR = 8.5; 95% CI 6.3–11.4). Fitness trainer bookings was not clearly associated with subsequent goal achievement.

Conclusions

Frequent and regular long-term fitness center use were associated with higher subsequent self-reported goal achievement.

The effect of initial support on fitness center use in new fitness center members. A randomized controlled trial

This provider and participant blinded parallel-group randomized controlled trial aimed to investigate if initial support given to new members via telephone and e-mail, compared to self-directed use, had an effect on booking with a fitness trainer, number of visits to the center, and membership duration. Participants included 356 new members, 174 randomized to the intervention group, and 182 to the control group. The intervention group received support to use the fitness center facilities through two phone calls and one e-mail over the first eight weeks of their membership. The control group got usual practice, which is self-directed use. Participants in the intervention group were more likely to book at least one session with a fitness trainer during the first six months (odds ratio 1.6, 95% confidence interval (CI) 1.0-2.5). However, the intervention did not influence the number of visits (mean difference after four years -11.7 days, 95% CI -34.8 to 11.3) or time to membership termination during the follow-up period (hazard ratio 1.1, 95% CI 0.8-1.3). In conclusion, initial support to use the fitness center facilities given to new fitness center members via telephone and e-mail increased the proportion of bookings with a fitness trainer during the first months of the membership, but it did not have an effect on the number of visits or membership termination during four years.

Using Methods From Computational Decision-making to Predict Nonadherence to Fitness Goals: Protocol for an Observational Study

Background

Can methods from computational models of decision-making be used to build a predictive model to identify individuals most likely to be nonadherent to personal fitness goals? Such a model may have significant value in the global battle against obesity. Despite growing awareness of the impact of physical inactivity on human health, sedentary behavior is increasingly linked to premature death in the developed world. The annual impact of sedentary behavior is significant, causing an estimated 2 million deaths. From a global perspective, sedentary behavior is one of the 10 leading causes of mortality and morbidity. Annually, considerable funding and countless public health initiatives are applied to promote physical fitness, with little impact on sustained behavioral change. Predictive models developed from multimodal methodologies combining data from decision-making tasks with contextual insights and objective physical activity data could be used to identify those most likely to abandon their fitness goals. This has the potential to enable development of more targeted support to ensure that those who embark on fitness programs are successful.

Objective

The aim of this study is to determine whether it is possible to use decision-making tasks such as the Iowa Gambling Task to help determine those most likely to abandon their fitness goals. Predictive models built using methods from computational models of decision-making, combining objective data from a fitness tracker with personality traits and modeling from decision-making games delivered via a mobile app, will be used to ascertain whether a predictive algorithm can identify digital personae most likely to be nonadherent to self-determined exercise goals. If it is possible to phenotype these individuals, it may be possible to tailor initiatives to support these individuals to continue exercising.

Methods

This is a siteless study design based on a bring your own device model. A total of 200 healthy adults who are novice exercisers and own a Fitbit (Fitbit Inc) physical activity tracker will be recruited via social media for this study. Participants will provide consent via the study app, which they will download from the Google Play store (Alphabet Inc) or Apple App Store (Apple Inc). They will also provide consent to share their Fitbit data. Necessary demographic information concerning age and sex will be collected as part of the recruitment process. Over 12 months, the scheduled study assessments will be pushed to the subjects to complete. The Iowa Gambling Task will be administered via a web app shared via a URL.

Results

Ethics approval was received from Dublin City University in December 2020. At manuscript submission, study recruitment was pending. The expected results will be published in 2022.

Conclusions

It is hoped that the study results will support the development of a predictive model and the study design will inform future research approaches.

Trial Registration

ClinicalTrials.gov NCT04783298; https://clinicaltrials.gov/ct2/show/NCT04783298

Predicting Fitness Centre Dropout

The phenomenon of dropout is often found among customers of sports services. In this study we intend to evaluate the performance of machine learning algorithms in predicting dropout using available data about their historic use of facilities. The data relating to a sample of 5209 members was taken from a Portuguese fitness centre and included the variables registration data, payments and frequency, age, sex, non-attendance days, amount billed, average weekly visits, total number of visits, visits hired per week, number of registration renewals, number of members referrals, total monthly registrations, and total member enrolment time, which may be indicative of members' commitment. Whilst the Gradient Boosting Classifier had the best performance in predicting dropout (sensitivity = 0.986), the Random Forest Classifier was the best at predicting non-dropout (specificity = 0.790); the overall performance of the Gradient Boosting Classifier was superior to the Random Forest Classifier (accuracy 0.955 against 0.920). The most relevant variables predicting dropout were "non-attendance days", "total length of stay", and "total amount billed". The use of decision trees provides information that can be readily acted upon to identify member profiles of those at risk of dropout, giving also guidelines for measures and policies to reduce it.

Barriers to, and Facilitators of, Exercising in Fitness Centres among Adults with and without Physical Disabilities: A Scoping Review

Fitness centres are an obvious arena for performing physical activity for the general population but representation of adults with physical disabilities (AwPD) is lacking. To increase possibilities for AwPD to exercise in fitness centres together with adults without physical disabilities (AwoPD), the aim of this study was to identify, synthesise, and compare barriers to, and facilitators of, exercising in fitness centres for each group. A scoping review was conducted and data extraction of the barriers and facilitators was performed independently by two researchers on six categories of contextual factors based on the framework of Di Blasi: (1) The fitness centre setting; (2) The fitness centre user characteristics; (3) The fitness instructor/staff characteristics; (4) The fitness centre user-instructor/management relationship; and (5) The fitness/exercise characteristics. An extra category, (6) Other relationships, was added. The PRISMA Extension for Scoping Reviews was used for reporting. Of the 102 included papers, only 26 (25%) of the papers were on AwPD, which focused mainly on physical barriers (category 1: inaccessible settings). In contrast, the remaining 76 papers involving AwoPD focused primarily on facilitators (category 2: motivational factors and exercising effects). In categories 3-6, the two groups had similar results, as both groups preferred skilled instructors, a welcoming and comfortable fitness centre environment, an ability to exercise at their preferred type and level, and good social connections. Since most data were based on AwoPD, more studies on actual experiences from AwPD are needed, to reveal the facilitators/motivational factors for fitness centre use.

Dropout predictors at gyms: a retrospective study

ABSTRACT This study aimed to verify the risk factors associated with gym regulars’ dropout over 12 months. This is an observational, retrospective, cohort study. The sample consisted of two gyms (Gym 1: n=2027, age=39.1 ±13.1 years; Gym 2: n=1775, age=36.8 ±11.6 years). Each participant was followed up for 12 months, or until dropout, by controlling the biometric entry system using a turnstile. The adherence rate was of 11% at Gym 1 and 19% at Gym 2. At both gyms, training frequency ≤3x/month and 4-6x/month was associated with dropout. At gym 1, being a female, aged ≥43 years, and enrollment between October and December were dropout predictors. At Gym 2, dropout was associated with contract length ≤31 days and 32-186 days and enrollment between April and December.

Walkability and Fitness Center Prices, Opening Hours, and Extra Services: The Case of Madrid, Spain

Walkability has been associated with urban development and political plans, contributing to more connected cities with improvements in communication, shopping, and pedestrian base. Among these services, fitness centers are becoming important elements for communities due to their impact on the health and welfare of citizens. The present study aims to examine how an area’s Walk Score^® affects fitness center services, specifically membership costs, opening hours, and aquatic services. Data from 193 fitness centers were retrieved, representing all the areas of the municipality of Madrid, Spain, including fitness centers in the 21 city districts. A nonlinear relationship between an area’s Walk Score^® and fitness centers’ monthly fees is observed. Only in premium fitness centers, a weak curvilinear model is observed, following a quadratic equation, showing that fitness centers with higher prices are in less walkable areas. Additionally, the association between Walk Score^® and a fitness center’s opening hours reveals that fitness centers with wider hours of operation tend to be in moderately to highly walkable locations. Lastly, the existence of a swimming pool is related to a lower Walk Score^®. Thus, fitness centers in less walkable areas try to offer additional services as differentiation from competitors, whereas centers in walkable locations use this advantage as a strength.

Women and Physical Activity in Fitness Centres. Analysis of Future Intentions and Their Relationship with Age

Physical activity is an important tool for promoting women's health. Increasing adherence to physical activity is a challenge for governments and private entities. One of the main objectives of the fitness sector is to build customer loyalty. Their behavioural intentions according to gender and age may be a determining factor. The aim of this study was to establish a model that relates the fitness centre's quality as perceived by female customers, these customers' future intentions, satisfaction, and age. A total of 745 women participated in this study, with a mean age of 32.97 ± 14.11, divided into three age groups. A confirmatory analysis, a factor invariance analysis, and a multi-group analysis were conducted to verify the validity and reliability of the model. The results revealed that quality is an antecedent of both perceived value and satisfaction in the three age groups. Perceived value is a precursor of satisfaction, except in the group of women over 45 years old. The only antecedent to adaptation to price is quality, except in the older age group. Finally, perceived value was found to be related to adaptation to price. These results will facilitate the development of strategies to promote physical activity among women according to their age.

Best Practices for Fitness Center Business Sustainability: A Qualitative Vision

The growing interest in fitness services is demanding optimal service management and operation. This research aims to identify the best practices in fitness center management for increasing customer engagement and for long-term stability and sustainability of the business. A qualitative approach through 23 semi-structured interviews to fitness center managers was performed in Spain, covering private centers with diverse business models (7 low-cost, 13 mid-market, and 3 premium). The managers were asked about their characteristics, the fitness center characteristics, and the managerial decisions and individual opinion. The results showed the best practices divided into five sections: customer service, offered service, marketing, facilities, and general terms and conditions. Kind customer service, the existence of loyalty programs, enough tangible quality, and online marketing strategies are essential for fitness centers’ success. Additionally, a fair fee and a maximum of a 15 min trip to the center should be guaranteed. This information has clear implications for promoting sporting habits and for engaging more people in physical activity, complementing the extensive quantitative data in the existing literature.

Service Perceptions in Fitness Centers: IPA Approach by Gender and Age

Background: The number of fitness practitioners has increased in the last decades. A deeper understanding of user perceptions is required for better service design. Methods: An importance-performance analysis (IPA) and correlational analysis were performed on a sample of 414 members (173 women and 241 men) with a mean age of 32.33 years (SD = 11.50) and recruited from 25 fitness centers of Community of Madrid, Spain. Results: The results show that women’s levels of importance and performance are higher than men in most of the service attributes. Women also correlate with a higher priority than men in core elements of the service, such as the variety and number of activities, personal training and fitness service quality. Female members feel more attracted by services like swimming pools and other peripheral services, like a welcome pack and medical or physiotherapist service. According to age, older members feel less satisfied than young users with the cleanliness of activity spaces and with the safety of lockers. Conclusions: Differences in perceptions by age and gender were identified among members of fitness centers. These results should be considered by private and public organizations to provide the best practices and tailored services for engaging more people in physical activity.

Can people self-select an exercise intensity sufficient to enhance muscular strength during weight training?: A systematic review protocol of intervention studies

BACKGROUND

Previous studies have reported that self-selection of the training intensity can be an interesting strategy to improve adherence in aerobic exercise programs. However, its effectiveness with weight training has not been systematically reviewed and remains unclear. In this study, we will describe a systematic review protocol that aims to investigate if people are able to self-select an intensity during weight training sufficient to enhance muscular strength.

METHODS

This protocol is guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols. In this study, we will search the following electronic databases: PubMed, Science Direct, Scopus, Web of Science and SPORTDiscus. Intervention studies with at least one weight training session performed at self-selected intensity, with people from both genders and all age ranges will be included. The Downs & Black checklist will be used for methodological quality assessment. Two experienced reviewers will independently perform the selection of studies, data extraction, and evaluation of the methodological quality.

CONCLUSION

This will be the first systematic review describing the results of weight training intervention studies with self-selected intensity. This study will provide high-quality and reliable evidence for health professionals and may direct methodological recommendations for further studies.

PROSPERO REGISTRATION NUMBER

CRD42019120323.