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. Author manuscript; available in PMC: 2021 Dec 7.
Published in final edited form as: Prog Cardiovasc Dis. 2020 Jun 27;63(6):775–785. doi: 10.1016/j.pcad.2020.06.012

Physical Fitness and activity changes after a 24-week soccer-based adaptation of the U.S diabetes prevention program intervention in Hispanic men

Jennifer K Frediani 1, Alan F Bienvenida 2, Jianheng Li 2, Melinda K Higgins 1, Felipe Lobelo 2
PMCID: PMC8650220  NIHMSID: NIHMS1759226  PMID: 32603753

Abstract

PURPOSE:

One third of the U.S. adult population is estimated to have prediabetes. Hispanics have a 50% higher type 2 diabetes (T2DM) death rate compared to non-Hispanic whites, yet low participation in lifestyle change programs, making this subgroup an important target for prevention efforts. The purpose of this study was to determine the effects of an exercise intervention implementing the Center for Disease Control and Prevention (CDC) National Diabetes Prevention Program (NDPP) plus recreational soccer (RS) in Hispanic men.

METHODS:

Overweight and obese Hispanic men, aged 30–57 years with prediabetes at screening were recruited from the community. Trained soccer coaches led 30-min facilitated discussion of the NDPP modules after each RS session, with two wkly sessions delivered over 12 wks, then once a wk until 24 wks. The 1-h RS sessions followed the Football Fitness curriculum structure. Standardized study assessments included objectively measured physical activity via fitness tracker, physical fitness via validated field tests, GPS soccer specific metrics and behavior change questionnaires. Mixed models assessed the outcomes as a function of time and cohort and incorporated an unstructured covariance structure to examine the difference between baseline, 12 and 24 wks. All analyses were conducted as intent-to-treat and generated using SAS v 9.4.

RESULTS:

Hispanic males (n=41; mean age 41.9 [6.2 SD] years) were obese at baseline (mean BMI 32.7, standard error [0.7]). After 24 wks of the NDPP+RS intervention, there were significant beneficial changes in vertical jump (2.8 [1.3] cm; p=0.048), agility and lower extremity muscular power (figure 8-run) at 12 wks (−4.7% change; p=0.001) and 24 wks (−7.2% change; p<0.0001), predicted VO2 max (12 wks: 1.9%; p=0.007; 24 wks 1.0%; p=0.036), modified push-ups increased 22% (p<0.0001) at 12 wks and 31% (p<0.0001) at 24 wks, dynamic sit-ups increased 10% (p= 0.005) at 12 wks and 15% (p<0.0001) at 24 wks.

CONCLUSION:

Among middle-aged Latino men, broad-ranging significant improvements in physical fitness were observed after 24 wks participating in lifestyle education plus RS in a single arm feasibility trial.

Keywords: soccer, football, recreational sport, exercise, fitness

Introduction

While the exact dose of physical activity (PA) for the prevention of type 2 diabetes (T2DM) is unknown, data shows that increased physical inactivity and sedentary behavior perpetuates the incidence of diabetes and other obesity-related chronic diseases.14 There is significant evidence to support that even moderate amounts of wkly PA decreases the risk of type 2 diabetes onset.5,6 The U.S National Diabetes Prevention Program (NDPP) implements an evidence-based model to help pre-diabetic individuals navigate the process for engaging in sustainable lifestyle changes, including diet and PA improvements and a 5–7% weight loss goal. The NDPP uses a classroom-based, peer-facilitated approach to encourage participation in regular PA, largely on the participants own time, with the goal to achieve compliance with the PA guidelines (150 mins of moderate-to-vigorous PA/wk) prioritizing walking and potentially with the help of pedometers or fitness trackers.7

In the original NDPP study, 67% of the participants were able to achieve the PA goals using a one-on-one counseling approach.7 Participants meeting the PA goals but not reaching the weight loss goals still showed a 44% reduction in T2DM incidence.8 Today, most NDPP offerings use a group-based approach (50%) and enrollment is much lower in non-Hispanic whites when stratified by race/ethnicity.9

Hispanic men are the least likely to participate in a year-long classroom-based NDPP and also have low recreational PA levels.10,11 Social support, self-efficacy, enjoyment and motivation to start and maintain PA and lifestyle changes are important drivers of program efficacy. Participation in recreational sports can be a conducive environment to promote physical activity engagement given their fun, social, and competitive nature. Recreational soccer (RS), played as small-sided games (5v5 or 7v7) on a smaller pitch, induces higher heart rates for longer periods, high anaerobic energy production with concomitant lower rates of perceived exertion, compared to jogging or walking programs12,13 This combination leads to longer retention and a more enjoyable experience.1416 In some respects, RS can be considered a modality of high intensity interval training (HIIT) with a wide range of physiologic effects that surpasses recreational running or other fitness training.13,1720

Recreational soccer interventions have been shown to improve cardiometabolic risk and increase cardiorespiratory fitness in untrained adults.21,22 However, these intervention approaches have not been yet tested in settings outside of Europe, South America and Asia. We conducted a pilot, single-arm, unblinded clinical trial to assess the implementation feasibility and physical fitness impacts in U.S Hispanic men, using an adapted NDPP six-month program. Our hypothesis was that enrolled Hispanic men increase participation in regular physical activity and improve their physical fitness by engaging in a recreational soccer-based adaptation to the traditional NDPP.

Methods

Participants

Study Inclusion and Exclusion Criteria

The inclusion criteria for participation in the study were: 1) Hispanic/Latino men aged 35–55 years; 2) body mass index (BMI) ≥ 25 kg/m2; 3) elevated risk for diabetes, operationalized as a score ≥ 9 in the CDC pre-diabetes risk calculator (13); 4) not engaged in regular soccer practice or other PA or lifestyle intervention program in the last year; 5) ability to read in English or Spanish and to provide inform consent. Participants were excluded if: 1) they reported a T2DM diagnosis or medication (oral or injected); 2) BMI ≥ 40; 3) resting blood pressure ≥170/100 mm Hg at screening; 4) any mobility issues or contraindications for HIIT PA program.23

Study Design

This study was designed as a pilot study to determine feasibility of recruitment and retention of Hispanic men in Atlanta, GA, USA. This single arm unblinded clinical trial recruited a total of 41 participants from April to July 2018. (ClinicalTrials.gov Identifier: NCT03595384).24 Participants were recruited from local Atlanta area Latino organizations using online (social media, websites, email listservs) and print (study recruitment fliers) advertisements methods. Sample size was determined using a 10% attrition rate and we calculated that 40 participants would provide at least 86% power to detect a mean difference in PA as the primary outcome (100 mins/wk; standard deviation (SD) 200 mins) and over 90% for detecting significant changes in weight (1.45 kg; SD 0.18) and VO2max (3.93 ml/kg/min; SD 0.5) from baseline to 24 wks using a two-sample t-test. Interested participants were provided an online survey to ascertain eligibility (Centers for Disease Control and Prevention (CDC) pre-diabetes screening, demographic questions and PA habits) and those meeting inclusion criteria were invited to an initial session at a local soccer field for informed consent and confirmatory baseline assessments including BMI, blood pressure, HbA1c and exercise pre-participation risk screening.23,25 Siemens DCA Vantage HbA1c point-of-care devices (Erlangen, Germany) were used for diabetes screening. A cut off point of 6.5% was used as a putative definition of T2DM26,27 and these individuals were referred to a local clinic for confirmatory testing and appropriate management. Both systolic and diastolic blood pressure were measured while sitting using a calibrated electronic blood pressure sphygmomanometer (Omron, Kyoto, Japan) prior to any activity and after five mins of rest. Prior to testing, subjects were asked to refrain from physical activity for 48 hs prior to test day, refrain from alcohol 24 h prior to testing, and refrain from caffeinated drinks, smoking and other stimulants one h prior to testing. Participants meeting inclusion and exclusion criteria were invited to participate in the study.

All participants were informed of risks and provided informed consent in the language of their choice. The study was carried out in accordance with the guidelines set by the Institutional Review Board at Emory University (IRB#00100342).

Outcomes

The primary outcomes was aerobic fitness determined by the Yo-Yo Intermittent Recovery Test Level 1 (Yo-Yo IR1) (test-retest CV – 4.9%28). Predicted VO2max was calculated from the Yo-Yo IR1 stage level reached.14,29,30 Secondary outcomes included strength determined by handgrip measurement (Takei Digital Grip Strength Dynamometer, Model T.K.K.5401, Tokyo, Japan)31,32, vertical jump (VERT, Fort Lauderdale, FL, USA)33, and figure 8 run test, modified push-ups, dynamic sit-ups, all using the Assessing Levels of Physical Activity (ALPHA) Battery Fit test protocols.34,35 The Yo-Yo IR1 was conducted on the soccer field using an automated timed voice recording. Two cones were set 20 m apart for each participant. Completed stage level was recorded for each participant. Handgrip strength was determined using the National Health and Examination Survey protocol.36,37 Each hand was measured three times alternatively and kg were recorded. The average of the three measurements from the dominant hand results are reported here. Vertical jump was measured twice with the VERT device attached to the waistband and the two measurements were averaged. Daily steps, sleep, sedentary time, light physical activity and weekly average moderate to vigorous PA (MVPA) were measured using Garmin wearable devices (Vivofit 3, Olathe, KS, USA).38,39 The Garmin Vivofit 3 has been shown equivalent to Yamax pedometers and have a 1-yr battery life which increases participant’s wear time.39 Garmins were given in the 3rd week of the intervention to coincide with the first physical activity NDPP core module. We also collected behavior change questionnaire data using the Brief Resilience Scale (BREQ-2) and Behavioral Regulation in Exercise questionnaire.40,41 Assessments were conducted at baseline before the first soccer session, after the 12-wk initial soccer conditioning phase, and at 24-wks after the soccer league (maintenance phase of the program). Participants were all briefed on the various measurements prior to the tests and all study staff were trained and demonstrated ability to perform measurements. STROBE-compliant flowchart of recruitment included in Supplemental materials Figure 1.

GPS exercise performance data during soccer sessions

A soccer-specific global positioning system (GPS) was used for the first two cohorts of participants. Data were collected using a 10 Hz GPS/GNSS Playertek system (Catapult Sports, Melbourne, Australia) which includes a 400 Hz sampling rate and 3 axes accelerometer. Each participant was assigned a specific numbered GPS Playertek Device which they consistently used for every session they attended. This process was documented on the session attendance log. After each session, the exercise statistics collected on all used GPS Playertek devices were uploaded to the online Playertek database using Catapult software. Here, the data from each device was matched with the participant’s profile, and then organized by cohort. Metrics calculated in the PlayerTek team software included session duration, total distance covered, sprint distance (5 m/s), estimated energy expenditure, distance covered per min, player load, power score, work ratio, power plays and top speed.42 Participants who attended the sessions regularly, used the GPS Playertek devices at higher frequencies, compared to those with lower rates of attendance.

Program Delivery Personnel

Three bilingual coaches (Fédération Internationale de Football Association (FIFA) or US Soccer certificate) were recruited and trained on intervention procedures. They all completed the “Football is Medicine” training course (6 hs theory, 2 hs practice) and received a copy of the Coaches “Football Fitness Manual” with drills exercises developed by Krustrup et al.43 They also received training on safety precautions according to the American College of Sports Medicine Exercise Pre-participation Guidelines and obtained a certification in cardio-pulmonary resuscitation.23 Furthermore, they were also trained by a certified NDPP lifestyle coach on how to deliver and facilitate the NDPP curriculum.44

Intervention

After the baseline assessments, participants were asked to attend a group soccer practice twice a week for a 12-wk period designed to replicate the concept of “pre-season conditioning.” Three groups of 10–14 participants were assembled, assigned a coach and session scheduling was tailored to the group’s preference based on field availability and location convenience for participants. Sessions were held on the evenings (typically Friday and Sunday) allowing at least 48 hs rest for recovery and to maximize physiologic adaptations. Each RS conditioning session included an evidence-based 10-min dynamic warm-up (FIFA 11+),45 20 mins of soccer-specific drills with and without the ball and 20-min recreational short-sided soccer games 5v5 up to 7v7 format depending on session attendance. During this 12-wk period, participants completed the NDPP core curriculum modules (one/wk). At the end of the soccer session and while hydrating and cooling down, participants sat in a group to discuss the NDPP modules with facilitation by their coach, during the last 30 mins of each 80-min study session. Sessions were held in parallel for the three cohorts in a full-size soccer artificial turf soccer field. Participants were encouraged to bring family and/or friends as spectators for additional social support. Although family/friends were not allowed to actively participate in the RS or NDPP programming, significant others often walked/jogged around the field and children actively used an adjacent playground (no evaluation data collected on this).

Upon successfully completing the “pre-season soccer conditioning” phase and the 12-wk assessment, participants transitioned to the “soccer maintenance” phase of the intervention for an additional 12 wks. During this phase, RS sessions were offered only once/wk and consisted of a 10-min dynamic warm-up and a 40-min recreational soccer game (two 18-min halves and a 4-min half time break). Participants were divided into six teams and a league-style scheduled was created to encourage healthy competition but with modifications to reduce risk of injuries (no slide tackles, no standing goalie). Teams were reshuffled every four wks to encourage group cohesion. Individuals were awarded points mostly (70%) based on attendance and weight loss or maintenance (negative points if no attendance or if participant gained more than 1 kg from previous wk), while the outcome of the game (3 points for win; 1 point for tie) was valued at 30%. A facilitated discussion of the NDPP maintenance modules was held for 30 mins after each session in this maintenance phase. At the end of the 24-wk study period, a closing ceremony was held and all participants attending at least 50% of all soccer sessions given a certificate of program graduation while those with the best attendance and sportsmanship recognized with plaques.

A closed and encrypted chat (WhatsApp platform) was created for each cohort and full group to facilitate peer-support, communication and session attendance (i.e schedule changes). Coaches provided attendance encouragement wkly and participants also used it to post encouraging messages and provide support (i.e. picture examples of their dietary choices, activity levels outside of soccer sessions, etc.). Coaches recorded session attendance, wkly weights and rates of perceived exertion (10-point modified Borg scale)46 and reported any injuries or adverse events.

Data Analysis

All analyses were conducted as intent-to-treat. Mixed models with unstructured heterogeneous covariance structures, were used to analyze outcomes at each time point. The maximum likelihood estimation procedure was used to handle missing data. For each outcome measure, the model assessed the outcome as a function of time (baseline, 12 and 24-wks) and adjusted for assigned cohort. All dependent variables were modeled using fixed effects. Least square means adjusted for cohort effect were reported for each outcome. Hypotheses were two sided and tested at a 0.05 significance level. Analyses were conducted using SAS 9.4 (SAS Institute, Cary, North Carolina, USA).

Results

Baseline demographics are shown in Table 1. The mean age of 41 participants was 41.9 (SD=6.2) years old. Most of the participants were married (83%) and were employed (93%) and 43.6% had a college or technical school degree. A little more than half (51%) had a family history of diabetes (14.6% had a sibling and 43.9% a parent with diabetes).

Table 1.

Demographics

Characteristics N (%)
Age, years, mean (SD), range 41.9 (6.2), 32–57
Male 41 (100)
Family history of diabetes 21 (51)
 Have a sibling with diabetes 6 (15)
 Have a parent with diabetes 18 (44)
Country of origin
 Mexico 16 (39)
 Venezuela 4 (10)
 Ecuador 3 (7)
 Guatemala 4 (10)
 Colombia 7 (17)
 Other 7 (17)
Marital status
 Single, divorced or widowed 7 (12)
 Married or domestic partner 36 (88)
Education
 Some high school or less 7 (17)
 High school 10 (24)
 College degree 18 (44)
 Tech school 4 (10)
Employment
 Employed 37 (90)
 Unemployed 3 (10)
Smoking
 Current smoker 2 (5)
 Former smoker 3 (7)
 Never smoke 11 (27)
 Missing 25 (61)

Objectively-measured Physical Activity

Garmin Vivofit 3 fitness trackers were given in the third week of the intervention. Baseline means and standard error (SE) and ranges for daily steps, daily mins of light PA, weekly average minutes of MVPA, daily hours of sleep and sedentary time were 12,645 (769) 7,482–23,868 steps, 107 (7) 57–189 mins, 73 (17) 0–258 mins, 7.1 (0.2) 6.3–8.5 hs, 15.2 (0.2) 13.8–16.4, respectively. There was then a significant decline in daily steps from baseline to 3 (−12%; p=0.014) and 24 wks −23%; p=0.005) (Figure 1). Daily light PA also declined slightly from baseline to 12 wks (−11%; p=0.06) and again at 24 wks (−26%; p< 0.0001). There were no significant changes in wkly MVPA duration or of sedentary time and sleep.

Figure 1.

Figure 1

Objectively measured physical activity measurements at baseline, 12 and 24 wk time points. Panel A – Average change in daily steps measured by Garmin Vivofit 3; Panel B – Average change in daily sedentary and sleep time in hs; Panel C – Average change in daily light physical activity in mins; Panel D – Average change in wkly average moderate to vigorous physical activity in mins.

Physical Fitness

Baseline estimated VO2max via Yo-Yo IR1was 38.9 ml/kg/min (0.2 SE; Range 32.0–41.4) and significantly increased over time (12 wks: 1.9%; p=0.007; 24 wks 1.0%; p=0.036) (Figure 2).30 For agility, the figure-8 run test was used. At baseline, the mean time in s was 7.2 (SE 0.1) and the range was 5.3–9.2 s. There was a significant decrease at 12 wks (−4.7% change; p=0.001) and a further decrease at 24 wks (−7.2% change; p<0.0001).

Figure 2.

Figure 2

Aerobic fitness measurements at baseline, 12 and 24 wk time points. Panel A – Average change in agility figure 8 run test in s; Panel B – Average change in predicted VO2 max (ml/kg/min).

Muscle strength was measured in a variety of ways. Handgrip was on average 49.2 kg (SE 1.2) range – 28.5–67.0 kg using the dominant hand. There was an increase of 5% (p=0.02) at 12 wks and 7% (p=0.002) at 24 wks. From the ALPHA Battery tests, dynamic sit-ups were 13 reps (SE 0.4) range- 5–15 at baseline and increased 10% (p= 0.005) at 12 wks and 15% (p<0.0001) at 24 wks, modified push-ups averaged 13 reps (SE 0.4) range 7–20 reps and increased 22% (p<0.0001) at 12 wks and 31% (p<0.0001) at 24 wks. (Figure 3) Vertical jump was used to measure leg strength and was 43 cm (SE 1.2) range 25.6–61.5 cm at baseline and increased 13% (p=0.03) at 12 wks and 6% (p=0.05) at 24 wks. (Figure 3)

Figure 3.

Figure 3

Muscle strength measurements at baseline, 12 and 24 wk time points. Panel A – Average change in handgrip strength in the dominant hand measured in kilograms; Panel B – Average change in dynamic sit ups in repetitions; Panel C – Average change in modified push-ups in repetitions; Panel D – Average change in vertical jump in centimeters.

GPS Soccer-session data

Most metrics displayed a statistically significant change over the six-month intervention. There was no increase in session exercise duration at the end of the 24 wks, but a slight increase at the 12-wk mark. (Figure 4) There was also no change in top speed over the 24 wks. (Figure 5)

Figure 4.

Figure 4

Soccer specific GPS metrics at baseline, 12 and 24 wk time points. Panel A – Average change in session duration in mins; Panel B – Average change in total distance during a session in kilometers; Panel C – Average change in sprint distance in meters; Panel D – Average change in energy expenditure in kilocalories during a session.

Figure 5.

Figure 5

Soccer specific GPS metrics at baseline, 12 and 24 wk time points. Panel A – Average change in total distance per min; Panel B – Average change in player load; Panel C – Average change in power score in watts per kilogram; Panel D – Average change in work ratio as a percentage; Panel E – Average change in power play (count); Panel F – Average change in top speed in meters per second.

Mental Health outcomes

The Brief Resilience Scale was measured at baseline (mean 3.7 [SE 0.1]), at 12 wks (4.0[0.1]) and 24 wks (3.9 [0.1]). There was a significant increase in resilience in the first 12 wks (p=0.02; 95% CI 0.04, 0.51), but a non-significant change at 24 wks. The BREQ-2 did not show significant change over time; however, we were able to determine that most of the participants fell in either the introjected, identified, or intrinsic regulation which shows an increasing self-determination towards exercise. (Figure 6)

Figure 6.

Figure 6

Results from the Behavior Regulation in Exercise Questionnaire at all time points showing the progression from amotivation to intrinsic regulation among Hispanic Men.

Finally, the average session perceived exertion decreased from 7 to 6 between baseline and 12 wks and to 4.7 after 24 wks. There were 16 mild injuries most being muscle strains and occurring within the first few wks of the program that resolved in 1–2 wks and no other adverse events reported. Reasons for missing sessions were reported as time management difficulties and travel for work/holidays.

Discussion

The main findings of this single arm, unblinded, clinical trial were that the program was well received and improved overall physical fitness and activity indicators in middle-aged Hispanic men living in Atlanta. This pilot feasibility study proved that the recruitment and retention is possible in understudied Hispanic men and this unique intervention approach may have potential for wider implementation as part of T2DM prevention programs.

The endurance levels of participants significantly improved from a baseline estimated VO2max of 38.9 ml/kg/min by 1.9% percent at 12 wks and then slightly decreased to a 1.0% improvement at 24 wks.2830 Although this is a small change, it does highlight the gradual fitness improvements made by all participants. The decrease in average VO2max between 12 and 24 wks could be explained by the tapering of aerobic exercise from two soccer sessions per wk to one in order to match the structure of the DPP program. According to a systematic review of recreational soccer interventions, untrained men require on average 2.3 soccer sessions per wk to improve aerobic fitness levels.47 In contrast, our study did not meet that threshold, yet small improvements were still observed in aerobic fitness at the end of the program. This is important because even slight increases in aerobic fitness can lead to a reduction in clustered metabolic risk for at-risk individuals.48

Overall, the soccer NDPP study reported smaller percent increases in VO2max compared to other recreational soccer interventions.13 This result could be explained by the overall design of the soccer NDPP program, which provided a more comprehensive approach to diabetes prevention using both physical activity and classroom-based learning, instead of focusing solely on physical fitness, as other similar programs have done.47 Additionally, the length of individual soccer sessions was shorter for the soccer NDPP program (50 mins) compared to other recreational soccer interventions (60 mins).49 Furthermore, developing an exercise program for prediabetic, and sedentary individuals may have resulted in a low baseline level of aerobic fitness shown to be a common fitness characteristic of people with prediabetes.5 Finally, almost all recreational soccer research programs conducted with populations outside of the United states, specifically in Northern Europe and in Brazil.13,18,47,50 Therefore, the cultural differences between these regions of the world may lead to differing levels of aerobic fitness related to physical activity and sedentary lifestyle, including within different ethnic groups which comprise the U.S Latino/Hispanic community.51,52

Physical activity was objectively measured by use of a fitness tracker (Garmin vivofit 3). We saw a decrease in overall steps and MVPA after 12 wks. This may be due to many reasons. We did not introduce the fitness tracker until wk 3 to coincide with the first physical activity education session. This population was likely highly active to begin with due to many having a manual labor occupation. The interpretation of these first few wks is difficult and could be a mix of reactivity to the device and the program already beginning. Despite the decreasing trend, the overall activity levels (9,000 steps) were much higher than the average for Hispanic men and higher than in other NDPP programs that were measured objectively, which is infrequent.53 This decrease also implies that for these men more than one soccer session per week would be critical to attain PA goals. In addition, there was not an increase in sedentary time or change in sleep time, these remained stable.54,55

Various measures of muscle strength were measured and improved over the 24-wk intervention. Indirect measures of strength through exercise tests are uncommon in the recreational soccer literature. Our study opted for these field tests to decrease participant burden and provide a more pragmatic approach. However, other recreational soccer studies study muscle adaptation at the physiological level and muscle force through isometric measures. In a study of middle-aged untrained men, Krustrup et al. (2010) found increases in quadriceps muscle mass and hamstring strength after 12 wks of soccer versus running alone.56 Similarly, in a study of postmenopausal women, hamstring strength measured via isokinetic dynamometer improved after four months of soccer training in postmenopausal women compared to running training.57 Another study in men with prostate cancer saw a 1.7 cm improvement in jump height58 after a 32-wk intervention compared to standard care. Our study of younger healthier men saw a mean change of 5.5 cm at 12 wks and 2.8 at 24 wks. The NDPP does not focus on muscle strength, but more aerobic activities that meet the physical activity guidelines of 150 mins per wk. Further, it has been suggested to forgo the physical activity goal altogether to obtain better retention.9 Muscle strengthening exercises has been shown to improve diabetes prevention due to increased glucose disposal.59,60 Fløtum et.al. also conducted a single arm recreational soccer program in the Faroe Islands, a country of ~50,000 inhabitants.61 They saw a retention rate of 42% after 18 wks compared to our 65% retention rate at 24 wks. Despite slightly different measurement techniques, saw similar improvements to our study in agility and aerobic performance.61

Interestingly, most GPS-derived metrics related to soccer performance increased significantly with the intervention from baseline to follow-up. This indicates that the format and intensity of the intervention was adequate to induce locomotor, physiologic and neuromuscular changes necessary to not only improved physical fitness markers but also aerobic and anaerobic work capacity during soccer play.62,63 The use of GPS devices to monitor RS sessions in our study adds to the literature64 and to the experience from previous RS trials that used heart rate monitoring and reported improvements in fitness-related metrics such as resting and recovery heart rate.22,47,61 Furthermore, despite the relatively high intensity levels during the RS sessions in our intervention and the low baseline fitness levels of our participants, we saw a very limited number of mild musculoskeletal injuries and perceived session intensity actually declined over time. These findings are similar to those reported in previous RS trials and attributed to adequate implementation and delivery of an intervention plan guided by evidence-based resources.17,65

By the end of the 24-wk program, the participants reported a 59% increase in levels of resilience, or the process of adapting successfully in the face of adversity, trauma, or significant sources of stress. Additionally, group participants reported a slight increase in intrinsic motivation throughout the intervention, based on the BREQ-2 research instrument. Although these findings were not statistically significant, the positive increase in scores post vs. pre-program alludes to an overall shift from external, non-self-determined motivation to exercise (approval, status, appearance), to internal, self-determined motivation (strength, personal rewards).

This preliminary finding highlights the potential mental health benefits of the soccer NDPP program. The design of the program, which harnessed the power of group physical activity and social support, may have played a role in instilling resilience and increasing motivation in participants to overcome their sources of stress together. Overall, the link between recreational soccer and improved mental health has not been thoroughly studied, especially among older adult men. Eime et al. reported that women who participate in sports clubs and organized recreational activity compared to individual physical activity such as going to the gym or walking, receive more mental health benefits including higher life satisfaction.66 They and others67,68 have hypothesized that the social supportive structure of group physical activity promotes social connectedness, social support, and peer bonding, which in turn increases levels of overall physical activity and can improve mental health. Anecdotally, these aspects were observed throughout the soccer NDPP program. Program satisfaction surveys completed by participants at the end of the intervention emphasized the importance of the relationships they built with their fellow team members and coaches, and they expressed a strong interest to continue playing soccer with one another. During the course of the program, participants’ families often attended the NDPP sessions to provide social support and sometimes train alongside their father or husband. Future research should objectively explore how social and group physical activity seen in recreational soccer can improve the overall mental health of its players, with a specific focus on adult men. Future research should objectively explore how social and group physical activity seen in recreational soccer can improve the overall mental health of its players, with a specific focus on adult men.

Furthermore, only a handful of researchers have explored the relationship between physical activity and mental health in Latino populations.52,69,70 Currently, none have focused specifically on the impact of group recreational sports such as soccer with this racial group. Our study highlights the potential to fill that gap. Given the global enthusiasm for soccer, it makes sense to thoroughly identify the potential mental health benefits of soccer-based recreational sports programs.

There are some limitations to this study. The main limitation is the lack of control group. This study was designed as a feasibility trial to determine the likelihood of recruiting and retaining this hard to reach Hispanic population. Using a culturally tailored approach to reach this population enhanced this novel U.S. study. Furthermore, our longitudinal approach with objective exercise measurements (GPS and PA wearable) at multiple time points to measure change over time within each individual is also a strength. Secondly, while our target population was Hispanic men due to their increased risk of T2DM, this limits the generalizability of the effects of recreational soccer in other race and ethnicity groups. However, this is a high risk population that is understudied. Finally, our sample size for this pilot study was small, further studies should include larger randomized controlled trials to compare physical fitness and activity outcomes.

In conclusion, this feasibility study was able to recruit 41 Hispanic men for a 24-wk recreational soccer intervention to investigate various exercise outcomes. The participants showed improvement in most measures of physical fitness and activity over time and reported to enjoy the program overall. These results indicate a soccer-base adaptation of the NDPP may be a feasible approach to engage Latino men in lifestyle and physical activity changes. Future studies should include longer controlled trials to examine habitual changes in exercise and related health impacts.

Supplementary Material

Supplemental Material Figure

Supplemental Figure 1 STROBE-compliant participant recruitment and enrollment flow chart for cohort studies.

Role of Funding Source:

Georgia Center for Translational Diabetes Research pilot award. The funder did not have any input on study design, data collection, analysis, or interpretation.

Abbreviations:

PA

physical activity

T2DM

type 2 diabetes

NDPP

National Diabetes Prevention Program

RS

recreational soccer

HIIT

high intensity interval training

BMI

body mass index

SD

standard deviation

Yo-Yo IR1

Yo-Yo Intermittent Recovery Test Level 1

ALPHA

Assessing Levels of Physical Activity

MVPA

moderate to vigorous physical activity

BREQ-2

Brief Resilience Scale

GPS

Global Positioning System

FIFA

Fédération Internationale de Football Association

Kg

kilogram

SE

standard error

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Supplemental Figure 1 STROBE-compliant participant recruitment and enrollment flow chart for cohort studies.

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