Dear Label_Name,

Greetings! I hope you are well.

I am writing on behalf of an international publishing house, Science and Education Publishing, USA (http://www.sciepub.com).

Science and Education Publishing (SciEP) is a multidisciplinary open access publisher of Journals covering the fields of Science, Technology and Medicine. All SciEP publications are subject to high-quality peer review, editorial and production processes and are freely available online.

Welcome to the April, 2013 edition of SciEP newsletter, providing monthly summaries of articles on science & education related topics of interest to scientist and professionals. The mission of our journals is to provide an open access forum for publishing new findings on issues pertinent to scientific and academic field. We also invite you to submit original research papers, review articles, short reports, or case studies are considered for publication in our Multidisciplinary Journals.

American Journal of Public Health Research
DOI: 10.12691/ajphr-1-1-3

The Implementation of a Tele-Homecare System with Service Oriented Architecture and HL7 Message Transmission Standard
Ching-Sung Wang

American Journal of Medical and Biological Research
DOI: 10.12691/ajmbr-1-1-2

The Influence of Ethanol on Pyruvate Kinases Activity in Vivo, in Vitro, in Silico
Lelevich Sergey Vladimirovich, Khrustalev Vladislav Victorovich, Barkovsky Eugene Victorovich, Shedogubova Tatyana Aleksandrovna

American Journal of Medical Sciences and Medicine
DOI: 10.12691/ajmsm-1-1-1

Clinical and Histological Features in Wegener Granulomatosis
Li Cavoli Gioacchino, Passantino Rita, Bono Luisa, Tortorici Calogera, Ferrantelli Angelo, Giammarresi Carlo, Rotolo Ugo

American Journal of Infectious Diseases and Microbiology
DOI: 10.12691/ajidm-1-1-2

The Curse of Lymphatic Filariasis: Would the Continual Use of Diethylcarbamazine Eliminate this Scourge in Papua New Guinea?
Anne Lanham, Lillian Mwanri

We have released issues of some journals on February 2013.
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American Journal of Medical Sciences and Medicine
American Journal of Medical and Biological Research
American Journal of Pharmacological Sciences
American Journal of Clinical Medicine Research
American Journal of Nursing Research
American Journal of Cancer Prevention
American Journal of Medicine Studies
American Journal of Infectious Diseases and Microbiology
American Journal of Cardiovascular Disease Research
American Journal of Biomedical Research
American Journal of Mechanical Engineering
American Journal of Microbiological Research
Journal of Preventive Medicine
American Journal of Food and Nutrition
American Journal of Hypertension Research
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Label_Title

Dear Label_Name,

Greetings! I hope you are well.

I am writing on behalf of an international publishing house, Science and Education Publishing, USA (http://www.sciepub.com).

Science and Education Publishing (SciEP) is a multidisciplinary open access publisher of Journals covering the fields of Science, Technology and Medicine. All SciEP publications are subject to high-quality peer review, editorial and production processes and are freely available online.

Welcome to the April, 2013 edition of SciEP newsletter, providing monthly summaries of articles on science & education related topics of interest to scientist and professionals. The mission of our journals is to provide an open access forum for publishing new findings on issues pertinent to scientific and academic field. We also invite you to submit original research papers, review articles, short reports, or case studies are considered for publication in our Multidisciplinary Journals.

American Journal of Public Health Research
DOI: 10.12691/ajphr-1-1-3

The Implementation of a Tele-Homecare System with Service Oriented Architecture and HL7 Message Transmission Standard
Ching-Sung Wang

American Journal of Medical and Biological Research
DOI: 10.12691/ajmbr-1-1-2

The Influence of Ethanol on Pyruvate Kinases Activity in Vivo, in Vitro, in Silico
Lelevich Sergey Vladimirovich, Khrustalev Vladislav Victorovich, Barkovsky Eugene Victorovich, Shedogubova Tatyana Aleksandrovna

American Journal of Medical Sciences and Medicine
DOI: 10.12691/ajmsm-1-1-1

Clinical and Histological Features in Wegener Granulomatosis
Li Cavoli Gioacchino, Passantino Rita, Bono Luisa, Tortorici Calogera, Ferrantelli Angelo, Giammarresi Carlo, Rotolo Ugo

American Journal of Infectious Diseases and Microbiology
DOI: 10.12691/ajidm-1-1-2

The Curse of Lymphatic Filariasis: Would the Continual Use of Diethylcarbamazine Eliminate this Scourge in Papua New Guinea?
Anne Lanham, Lillian Mwanri

We have released issues of some journals on February 2013.
American Journal of Public Health Research
American Journal of Medical Sciences and Medicine
American Journal of Medical and Biological Research
American Journal of Pharmacological Sciences
American Journal of Clinical Medicine Research
American Journal of Nursing Research
American Journal of Cancer Prevention
American Journal of Medicine Studies
American Journal of Infectious Diseases and Microbiology
American Journal of Cardiovascular Disease Research
American Journal of Biomedical Research
American Journal of Mechanical Engineering
American Journal of Microbiological Research
Journal of Preventive Medicine
American Journal of Food and Nutrition
American Journal of Hypertension Research
American Journal of Sports Science and Medicine
Journal of Cancer Research and Treatment
American Journal of Zoological Research
Journal of Biomedical Engineering and Technology
American Journal of Microbiological Research
Biomedical Science and Engineering

We are pleased to announce that submissions are now being accepted for peer review for all the journals across all our subject areas in SciEP.

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Exploring and Comparing Physical Activity Behaviors among College Students Enrolled in an 8-week and 16-week Fitness Class at an HBCU

Amy D. Linder, Hsin-Yi Liu, Mijon R. Knight, Chermaine Cole*, Sonya Reddick-Shaw, Walter Munoz

Dept. of Kinesiology & Recreation Administration, NC Central University, Durham, USA

Abstract: This study examined and compared physical activity behaviors and fitness outcomes among college students enrolled in 8‑week and 16‑week fitness courses at a historically Black college and university (HBCU) in the southeastern United States. Using a quasi‑experimental design grounded in Ajzen’s (1991) Theory of Planned Behavior (TPB), physical fitness and behavioral intention outcomes were analyzed across course formats. Participants included 57 students who completed pre‑ and post‑fitness assessments and an early‑semester physical activity behavior survey. Results indicated significant pre‑ to post‑test improvements in both course formats, with broader multidimensional gains observed in the 8‑week course. Students reported positive exercise attitudes and moderate‑to‑high intentions for moderate‑to‑vigorous physical activity. No significant between‑group differences were detected across course length. Findings suggest that both condensed and traditional academic fitness formats can effectively promote physical activity engagement in HBCU populations. Implications for fitness curriculum design, behavioral sustainability, and equitable access to structured physical activity are discussed.

Keywords: college students, physical activity behaviors, accelerated courses, fitness, HBCU, Theory of Planned Behavior

Received February 13, 2026; Revised March 15, 2026; Accepted March 22, 2026

Citation: Amy D. Linder, Hsin-Yi Liu, Mijon R. Knight, Chermaine Cole, Sonya Reddick-Shaw, Walter Munoz, Exploring and Comparing Physical Activity Behaviors among College Students Enrolled in an 8-week and 16-week Fitness Class at an HBCU. Journal of Physical Activity Research, 11 (1). 21-28. January 2026. doi:10.12691/jpar-11-1-3

1. Introduction

Regular physical activity is essential for promoting physical and mental health and reducing risk for chronic disease across the lifespan [1,2]. Despite these well-established benefits, college students remain an at-risk population for insufficient physical activity. Research suggests that approximately 37% of college students are physically inactive and nearly half fail to meet recommended activity levels [3]. Declines in structured physical activity often occur during the transition from high school to college, a developmental period characterized by increased autonomy, academic demands, and competing priorities that may displace health behaviors [4,5].

At historically Black colleges and universities (HBCUs), required physical activity courses frequently represent one of the few structured opportunities for first-year students to engage in regular exercise. These courses may therefore serve as an important institutional mechanism for establishing physical activity habits and supporting student wellness during early collegiate adjustment [6]. Understanding how course characteristics – particularly duration and delivery modality – shape student engagement and fitness outcomes is critical for optimizing curriculum design in this context.

Not only is regular physical activity vital for overall health and well-being, but also for promoting longevity [3]. However, evidence suggests that the culture of physical activity on college and university campuses is changing, partly due to the growing presence of non-traditional students within these populations [3]. The purpose of this quasi-experimental study was to examine and compare physical activity behaviors and fitness outcomes among students enrolled in 8-week in-person fitness courses and 16-week online fitness courses at an HBCU. Specifically, the study was guided by the following research questions:

1. Are attitudes toward physical activity more positive among students enrolled in the 8-week fitness course compared to the 16-week course?

2. Are there significant differences between pre- and post-test assessments for students enrolled in the 8-week and 16-week sessions?

3. Are there significant differences between the pre- and post-test fitness outcomes when comparing the 8-week session to the 16-week session?

2. Background

Physical Activity Transitions from Secondary to Postsecondary Education

Previous research indicates that the structure and emphasis of physical education curricula shift substantially as students' progress through the educational system [7]. For instance, Woodson-Smith, Dorwart, & Linder [8] found that physical education at the K–8 level emphasizes a broad range of outcomes, including motor skill development, biomechanics, character education, and sports participation, whereas high school physical education curricula increasingly narrow their focus to health-related fitness. This curricular shift may influence students’ attitudes toward physical activity and shape their exercise behaviors as they transition from high school physical activity classes into college-level physical activity courses [9].

The transition from high school to college or university is particularly salient for first-year students at HBCUs, where required physical activity courses, such as Fitness, often serve as one of the primary structured opportunities for engagement in physical activity during the first year of college [6]. In fact, upon entering college, students experienced increased autonomy alongside internal and external challenges, including poor dietary habits and declining physical activity levels [10]. Research indicates that college students spend approximately eight hours per day engaged in sedentary behaviors [5], a pattern associated with poorer physical health outcomes. In contrast, higher levels of physical activity are consistently associated with reduced health risks and improved overall well-being [3].

Understanding how first-year HBCU students engage with required physical activity courses is critical for promoting long-term physical activity adherence [11]. The authors Nelson et al. [4] conducted a study that emphasized how effective interventions to promote active lifestyles must be grounded in an understanding of the factors contributing to low physical activity levels among college students. In addition, prior research identified multiple determinants of physical activity and sedentary behavior, including individual motivation, social and environmental influences, physical infrastructure, and university-specific characteristics [5] Furthermore, maintaining consistent physical activity in required courses such as fitness can be challenging for first-year students, as it depends on self-discipline and their perception of the course’s relevance, especially during the shift from structured high school physical education to the greater independence of college [12].

Researchers recommend that universities address these challenges by improving access to fitness resources, providing affordable and flexible physical activity options, removing financial barriers, and incorporating physical activity more directly into academic programs [13]. Despite these recommendations, limited research has examined how required physical activity courses at HBCUs (e.g., Fitness) are implemented in practice or how effectively they support first-year students in maintaining regular physical activity as they transition from high school physical education to college-level coursework. Furthermore, research indicates that collegiate students’ physical activity behaviors (i.e., first-year students) warrant further investigation.

The Covid-19 Pandemic and Online and Accelerated Fitness Instruction

In recent years, we have observed significant changes in physical activity in our society due to the COVID-19 pandemic, which led to restrictive measures that negatively affected physical activity [10]. Before COVID, 65% of people were physically active in a month’s time; during COVID, those numbers fell between 2-4% [14]. From a higher education perspective, there was a transition to e-learning [10], including fitness courses for some programs. With this transition, teaching mode is imperative to producing positive and effective outcomes related to physical activity [15].

When comparing traditional face-to-face instruction with fully online formats, prior research indicates that blended teaching approaches are more effective in promoting and improving physical activity [15]. Specifically, within physical education and fitness courses, blended delivery models have been shown to enhance student engagement and physical activity outcomes compared to single-modality instruction [15]. Additionally, McDonough, Helgeson, Liu, & Gao [16] found that a physical activity intervention delivered through YouTube significantly increased overall physical activity levels among young adults. This supports the idea that online delivery of fitness courses could, in fact, be effective. Online delivery has also been shown to improve sedentary behaviors and daily physical activity [15]. It should be noted that this data was retrieved during COVID-19, and research found that online teaching mini-lessons were more effective than prolonged instruction [15]. This speaks about the notion that overall course length could potentially have a significant effect on overall outcomes. Lastly, a study conducted by Latino et al. [17] supported that COVID-19 significantly altered the way fitness and physical education are taught. This study determined that fitness and physical education courses that are delivered in an online format are powerfully effective [17].

3. Theoretical Framework

This study is grounded in Ajzen’s Theory of Planned Behavior (TPB), which posits that behavior is predicted by behavioral intention, itself shaped by attitudes toward the behavior, subjective norms, and perceived behavioral control [18]. TPB has demonstrated strong utility in predicting physical activity behavior among college populations and in structured exercise contexts [12,19]. Within academic fitness courses, instructional elements such as instructor feedback, peer interaction, skill progression, and assessment may influence TPB constructs. Positive exercise experiences can strengthen attitudes; group participation and instructor expectations can reinforce subjective norms; and skill acquisition and self-monitoring can enhance perceived behavioral control. Course duration may moderate these processes by affecting exposure to intensity and opportunities for reinforcement and habit formation. Applying TPB provides a theoretical lens for interpreting how course length and delivery influence physical activity engagement and outcomes.

The purpose of this quantitative, correlational study is to explore and compare physical activity behaviors among college students enrolled in an 8-week in-person fitness course and a 16-week online fitness course at an HBCU in the southeastern United States. Additionally, researchers would like to determine if the data related to physical activity among college students still holds, along with differing attitudes, intentions, and influences related to physical activity from the perspective of gender, course delivery, course length, or other factors [19].

4. Methods

Study Design

This quasi-experimental study aimed to compare the outcomes of two distinct physical activity instruction modalities: an 8-week in-person program and a 16-week online program. The study was conducted in Fall 2024 within a physical activity class at a 4-year university in North Carolina, USA, focusing on evaluating participants' physical fitness, adherence to physical activity, and self-reported satisfaction. The pre-test and post-test assessment exercises included the following: participants’ weight, push-ups, sit-ups, cardio test and one-mile run, leg raises, planks, participants' BMI (body mass index calculations), resting heart rate calculations, and the sit-and-reach assessment.

Participants

The study included students enrolled in physical activity classes at college. A total of 57 participants were recruited and completed the preliminary online physical activity behavior survey within the third week of the fitness class. A total of 57 students completed the pre-and post-test assessments from both the 8-week and 16-week fitness courses. Moreover, the participants were assigned to one of two groups: an in-person group and an online group. There was a total of 29 8-week in-person fitness sessions, while there were only five 16-week online fitness courses during the fall 2024 semester. To be eligible for the study, participants were required to be at least 18 years old, enrolled at the university, and free from any medical conditions that contraindicated physical activity. Exclusion criteria included being enrolled in structured physical activity programs within the last year and any barriers to participation, such as scheduling conflicts or technical difficulties.

Interventions

The in-person program spanned eight weeks and involved three 60-minute sessions per week conducted on campus by a certified instructor. The sessions included a combination of cardiovascular exercises, strength training, flexibility exercises, and educational content related to fitness. Attendance and participation were monitored during each session.

The online program was delivered over 16 weeks and consisted of two 60-minute virtual sessions per week supplemented with a self-directed activity plan. This program utilized a learning management system (LMS) to deliver pre-recorded instructional videos, live virtual meetings, and interactive fitness tracking tools. The content mirrored that of the in-person program but was modified to accommodate at-home environments. Participants in the online group were required to maintain weekly activity logs, and periodic check-ins with instructors were conducted to ensure engagement.

Outcome Measures

The study assessed both primary and secondary outcomes. Primary outcomes included improvements in physical fitness, as measured by pre- and post-intervention tests. These tests evaluated cardiovascular endurance (via a 1-mile run/walk test), muscular strength (using a push-up test), and flexibility (using a sit-and-reach test). Adherence rates were calculated based on session attendance for the in-person group and completed activity logs for the online group.

Secondary outcomes focused on participants’ self-reported satisfaction with the program and perceived behavioral changes in physical activity levels outside the intervention. A post-intervention survey captured satisfaction levels, perceived program effectiveness, and ease of implementation.

Data Collection

Baseline assessments were conducted at the start of the intervention, and post-intervention assessments were completed at the conclusion of each program. Physical fitness tests were administered in a standardized manner, while adherence was tracked through attendance records for the in-person group and weekly logs for the online group. Also, the pre- and post-test results were collected from the 8-week and 16-week fitness courses. Moreover, the PI administered the Physical Activity Behavior online survey link to fitness instructors to post in their Canvas shells for students interested in participating in the study.

Statistical Analyses

All data for this study were analyzed using SPSS version 29. Descriptive statistics (means, standard deviation, frequencies) were used to summarize demographic characteristics and adherence rates for both groups. Paired t-tests and analysis of variance (ANOVA) were conducted to examine pre- and post-test differences within the 8-week and 16-week fitness course groups. Independent-sample t-tests were used to compare post-test scores and attitudes toward physical activity between the 8-week and 16-week groups. Statistical significance was set at p < .05, and effect sizes were calculated to assess the magnitude of differences.

Ethical Considerations

The study was approved by the Institutional Review Board (IRB) of the university, with the authors who were affiliated. All participants provided informed consent before enrollment. Participant confidentiality was maintained by anonymizing all data, and no identifiable information was disclosed.

5. Results

The catalyst for this quantitative, correlational study is to explore and compare physical activity behaviors among college students enrolled in an 8-week in-person fitness course and a 16-week online fitness course at an HBCU (55-Black or African American; 1-Asian or Asian American; 1-Biracial or Multiracial). This study included participants identified as college students enrolled at a southeastern HBCU. A preliminary online physical activity behavior survey was administered during the third week of class for students enrolled in both the 8-week and 16-week fitness courses. Administering the survey at this time allowed researchers to assess students’ typical physical activity behaviors rather than transitional patterns associated with early-semester adjustments. Although a follow-up survey is typically administered at the end of the semester, in this study, the pre- and post-test assessments were used across both fitness course sessions to analyze physical activity behaviors among the sample population. The survey was administered to fitness classes by the course instructors within the first three weeks of the semester through the Learning Management System (LMS), Canvas. Additionally, pre- and post-test assessment results were obtained from the 8-week and 16-week fitness course sections for the Fall 2024 semester.

The pie graphs below show the demographics for the initial preliminary online physical activity behavior survey that was administered to the 8-week and 16-week fitness courses at HBCU during the third week of the semester. Figure 3 (Q3) and Figure 4 (Q11) display the demographics by using Qualtrics at the university; 55 participants identified as Black or African American, one as Asian or Asian American, and one as biracial or multiracial. The average age was 18.77 years, with 55 respondents classified as traditional students (ages 18-22). The average weight was 165.52 pounds and is represented in Figure 5 (Q9). In terms of gender, 12 participants identified as male, 34 as female, while others did not disclose their gender (Figure 4 Q11).

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Table 6 (Q14) addressed the question regarding physical activity intentions, participants' likelihood of engaging in moderate or vigorous physical activity over the next two weeks averaged 3.74 on a scale indicating “somewhat likely” to “extremely likely.” The participants' attitudes toward exercise were positive, with an average rating of 4.07, indicating that most found it “somewhat enjoyable” to “enjoyable.”

Figure 6

Table 7 addressed the question concerning significant differences between the pre- and post-test assessments with the students enrolled in the 8-week fitness courses. In fact, there were significant differences among several exercises, such as push-ups, that were assessed during the pre-test (p<0.001), sit-ups that were performed during the pre-test and post-test assessment (p<0.001), and cardio (p<0.001). In addition, the leg raises exercise was also performed by the students in the fitness courses and indicated significant differences during the pre-test and post-test assessments (p<0.001). Lastly, the pre-test and post-test assessments for both planks (0.003) and the sit and reach assessments (0.032).

Table 7. (8-Week Pre and Post Paired T test) Significant Changes were found in Push-up, sit-up, Cardio, Leg Raise, Planks, and sit and reach tests

Table 8 addressed the question concerning significant differences between the pre- and post-test assessments with the students enrolled in the 16-week fitness courses. In fact, there were significant differences among several exercises, such as push-ups, that were assessed during the pre-test (p<0.001), sit-ups that were performed during the pre-test and post-test assessment (p=0.044).

Table 8. (16 Week Pre and Post Paired T test) Significant Changes were found in Push-up, sit-up tests

Table 9 addressed the question concerning significant differences between the pre- and post-test assessments with the students enrolled in the 8-week courses in comparison to those enrolled in the 16-week fitness courses. There were no significant differences between the pre-test and post-test assessments.

Table 9. (8-week vs 16-week independent T test) No significant difference was found between 8-week and 16-week classes

In summary, the preliminary online physical activity behavior survey was administered during the third week of the semester to students enrolled in 8-week and 16-week fitness courses at an HBCU in the southeast region of the United States. Moreover, the demographic characteristics of the participants were illustrated in the pie charts and summarized in Figure 3 (Q3) and Figure 4 (Q11). Of the respondents, the majority identified as Black or African American (n = 55), with one participant identifying as Asian or Asian American and one as biracial or multiracial. The average age of participants was 18.77 years, with 55 respondents classified as traditional college-aged students (18–22 years). Lastly, the participants’ average self-reported weight was 165.52 pounds, as presented in Figure 5 (Q9).

Regarding gender identity, 12 participants identified as male and 34 as female, while several respondents chose not to disclose their gender (Figure 4, Q11). The participants’ physical activity intentions were assessed in Figure 6 (Q14), reporting a mean likelihood score of 3.74 for engaging in moderate or vigorous physical activity over the following two weeks, indicating responses between “somewhat likely” and “extremely likely.” Also, the participants reported generally positive attitudes toward exercise, with an average rating of 4.07, suggesting that most perceived physical activity as “somewhat enjoyable” to “enjoyable.”

The fitness performance outcomes revealed significant improvements among students enrolled in the 8-week fitness courses (Table 7). Moreover, statistically significant differences were observed between pre-test and post-test assessments for push-ups (p<0.001), sit-ups (p<0.001), cardiovascular endurance (p<0.001), leg raises (p<0.001), planks (p = 0.003), and sit-and-reach flexibility (p=0.032). Similarly, students enrolled in the 16-week fitness courses demonstrated significant pre-test to post-test improvements in selected fitness measures (Table 8), including push-ups (p<0.001) and sit-ups (p=0.044). However, when comparing fitness outcomes between students enrolled in the 8-week and 16-week courses, no statistically significant differences were observed between the pre-test and post-test assessments across course lengths (Table 9).

6. Discussion and Recommendations

The purpose of this study was to examine and compare physical activity behaviors among college students enrolled in 8-week and 16-week fitness courses at an HBCU and to determine whether program duration influenced engagement, fitness outcomes, and behavioral intention. Grounded in the Theory of Planned Behavior (TPB) developed by Ajzen [18], this investigation extends existing literature by exploring how course length may shape attitudes toward exercise, perceived behavioral control, subjective norms, and ultimately behavioral intentions and participation [20]. Consistent with TPB, the engagement patterns observed in this study suggest that structured academic fitness courses can positively influence intention formation and behavioral enactment [19].

The findings indicate that students in both 8‑week and 16‑week formats demonstrated meaningful fitness improvements and positive exercise intentions, supporting prior evidence that structured collegiate fitness interventions enhance exercise behavior and performance [13]. However, differences in within‑group change patterns suggest that program duration may moderate the strength and sustainability of TPB relationships [21]. The 8‑week model produced broader short‑term physiological gains, which may reflect rapid engagement and behavioral activation driven by increased instructional intensity and concentrated exposure [22]. In contrast, the 16‑week format may provide extended opportunities for reinforcement, skill development, and habit consolidation, strengthening perceived behavioral control, and supporting more sustained exercise behaviors [21]. Importantly, no significant differences were observed based on course delivery format (in‑person versus online), reinforcing evidence that well‑structured online fitness instruction can be comparable to face‑to‑face delivery when engagement supports are embedded [16,15].

From a behavioral sustainability perspective, longer program duration may better support habit automaticity by allowing repeated cue–routine–reward cycles to develop across a full academic term [23]. Extended exposure may also enhance self‑regulatory skills including goal setting, self‑monitoring, and coping planning that are essential for long‑term adherence [23]. Conversely, while shorter courses may generate initial motivation, the compressed timeframe may limit opportunities for behavioral internalization unless accompanied by intentional transition strategies [24]. These findings suggest that course duration may differentially influence short‑term performance adaptation versus long‑term behavioral maintenance.

The results also underscore the importance of instructional structure and environmental context in shaping physical activity outcomes [25]. Course design elements including instructor feedback, peer interaction, facility accessibility, and assessment structure likely interact with program length to influence engagement and adherence [26]. Institutions adopting accelerated formats for scheduling flexibility should therefore ensure sufficient behavioral reinforcement mechanisms to support sustained activity [27].

Practical Recommendations

Based on the findings and TPB framework, the authors offer the following recommendations:

1. Embed TPB‑aligned instructional strategies: Design activities that strengthen exercise attitudes (education on benefits), subjective norms (peer support, group challenges), and perceived behavioral control (progressive skill mastery, self‑monitoring) [19].

2. Maintain behavioral reinforcement across formats: Ensure frequent feedback, accountability tracking, and formative fitness assessment in both 8‑ and 16‑week courses.

3. Integrate habit‑formation and transition supports: Include goal‑setting, reflection, and post‑course activity planning to sustain behavior beyond condensed courses [24,23].

4. Optimize online instructional design: Incorporate interactive elements and monitoring systems to maintain engagement parity with in‑person instruction [16].

5. Develop continuation pathways: Campus wellness initiatives or follow‑up programming can reinforce behaviors established in required courses [13].

Limitations and Future Research

Several limitations should be considered when interpreting the findings. First, the study relied in part on self-reported physical activity data for participants in the online course, which may be subject to recall error and social desirability bias. Second, variability in participants’ home environments – including available space, privacy, and competing responsibilities – as well as differential access to exercise equipment, may have influenced engagement levels and perceived behavioral control within the online intervention. Although these contextual factors reflect real-world conditions of remote physical activity participation, they may have contributed to heterogeneity in outcomes across participants.

Future research should incorporate objective measures of physical activity (e.g., wearable activity trackers) alongside self-report instruments to enhance measurement accuracy and allow for more precise comparisons across delivery modalities. Additionally, studies could more systematically assess environmental and resource-related factors (e.g., equipment availability, space constraints, household distractions) to better understand how home-context variability shapes behavioral engagement in online fitness courses. Expanding samples across multiple institutions and diverse student populations would further strengthen generalizability and enable examination of how demographic and contextual moderators influence physical activity behaviors in virtual versus in-person course formats.

Conclusion

This study contributes to the growing body of literature on structured collegiate fitness interventions by examining how course length and delivery format relate to physical activity engagement among traditional and nontraditional college students. Grounded in the Theory of Planned Behavior, the findings suggest that structured academic fitness courses can support positive exercise attitudes, strengthen perceived behavioral control, and foster behavioral intentions that translate into active participation [19]. Notably, both 8‑week and 16‑week formats were associated with meaningful engagement, indicating that academic fitness courses regardless of duration can serve as viable mechanisms for promoting physical activity within higher education settings [28]. These findings reinforce the value of embedding wellness-oriented coursework within academic curricula as a strategy for addressing declining physical activity levels among college populations.

At the same time, differences observed between course lengths underscore the importance of considering program duration as a potential moderator of behavioral sustainability [19]. Shorter, intensive courses may stimulate rapid engagement and initial motivation, while longer formats appear to provide greater opportunity for reinforcement, skill acquisition, and habit consolidation across a full academic term. From a behavioral perspective, extended exposure allows repeated practice of self‑regulatory processes such as goal setting, self‑monitoring, and coping planning, which are critical for long‑term adherence [12]. Thus, rather than viewing course length as merely a scheduling variable, institutions should recognize duration as a pedagogical design factor that can shape the depth and persistence of health behavior change [29].

The absence of significant differences between in‑person and online delivery further highlights the central role of instructional design and environmental support in influencing outcomes [30]. When appropriately structured, online fitness courses can provide comparable opportunities for engagement, feedback, and behavioral reinforcement in traditional formats [19]. However, the findings also suggest that contextual factors – such as home exercise environments, access to equipment, and social support – may interact with course structure to influence perceived behavioral control and participation [31]. These considerations emphasize that effective online physical activity instruction requires intentional design elements that compensate for environmental variability and support students’ autonomy and competence across diverse settings [32].

From an institutional and public health perspective, the results have important implications for promoting lifelong physical activity among college students, particularly within historically Black colleges and universities and other diverse educational contexts [33]. Many students enter college with prior athletic or structured activity backgrounds that may not continue in collegiate sport settings. Academic fitness courses can provide an inclusive pathway for maintaining or re‑establishing active lifestyles during this transitional life stage [19]. By fostering positive exercise experiences and strengthening self‑efficacy within supportive course environments, such programs may help mitigate declines in physical activity that commonly occur during the college years and beyond [34].

In conclusion, structured fitness courses represent a promising and adaptable approach for enhancing physical activity engagement among diverse college populations [34]. The present findings suggest that both short‑ and long‑duration formats can be effective, but that program length and instructional context may influence the sustainability of behavior change processes emphasized in the Theory of Planned Behavior [35]. Future research that integrates objective measurement, longitudinal follow‑up, and multi‑institutional samples will further clarify how academic fitness interventions can best support enduring physical activity habits. Collectively, this line of inquiry advances understanding of how higher education environments can intentionally cultivate health‑promoting behaviors that extend beyond the classroom and into lifelong wellness trajectories [36].

References

[1]   | Office of Disease Prevention and Health Promotion (2023). Physical activity guidelines for Americans. doi: https:// odphp.health.gov/our-work/nutrition-physical-activity/physical-activity-guidelines.
[2]   | World Health Organization (WHO) (2024). Physical activity key facts.
[3]   | Linder, A. D., Liu, H., Woodson-Smith, A., & Jung, J. (2018). Physical activity behaviors among non-traditional and traditional college students: An application of Ajzen’s theory of planned behavior. The Negro Educational Review, 69, pp. 33-50.
[4]   | Nelson, M. C., Story, M., Larson, N. I., Neumark-Sztainer, D., & Lytle, L. A. (2008). Emerging adulthood and college-aged youth: an overlooked age for weight-related behavior change. Obesity, 16(10), 2205-2211.
[5]   | Deliens, T., Deforche, B., De Bourdeaudhuij, I., & Clarys, P. (2015). Determinants of physical activity and sedentary behaviour in university students: A qualitative study using focus group discussions. BMC Public Health, 15(201).
[6]   | Scroggs, J., Battista, R., & Kappus, R. (2025). Bridging the gap: Promoting physical activity in college-aged students. Preventing Chronic Disease, 22.
[7]   | Mata, L. & Marasigan, A. (2024). Physical education curriculum implementation using hyflex learning modality in the new normal. Journal of Interdisciplinary Studies in Education, 13(2).
[8]   | Woodson-Smith, A., Dorwart, C. E., & Linder, A. (2015). Attitudes toward physical education of female high school students. The Physical Educator, 72, pp. 460-479.
[9]   | Zhang, X. & Yun, J. (2025). The relationship between high-quality physical education, physical literacy, and physical activity participation: A retrospective study from US college students. Research Quarterly for Exercise and Sport, 96 (4), 627-636.
[10]   | Bielec, G., & Omelan, A. (2022). Physical activity behaviors and physical work capacity in university students during the COVID-19 pandemic. International Journal of Environmental Research and Public Health, 19.
[11]   | Huang, S. & Jeong, H. (2025). The dynamic impact of physical education teacher support on college students’ adherence to exercise: A cross-lagged study from the perspective of self-determination theory. Behav. Sci. 2025, 15(6), 802.
[12]   | Rhodes, R. E., & de Bruijn, G.-J. (2013). How big is the physical activity intention-behaviour gap? A meta-analysis using the action control framework. British Journal of Health Psychology, 18(2), 296-309.
[13]   | Stevinson, C., Hickson, M., & Stathi, A. (2024). Strategies to enhance physical activity participation among university students: A systematic review. International Journal of Environmental Research and Public Health, 21(2), 173.
[14]   | Matthews, C., Saint-Maurice, P., Fulton, J., Patel, S., Loftfield, E., Sampson, J., Keadle, S., & Berrigan, D. (2022). Changes in physical activity and sedentary time in United States in response to Covid-19. PubMed, 17 (9).
[15]   | Tao, Z., Zhu, E., Sun, X., & Sun, J. (2024). Comparative effects of three different physical education teaching modes on college students’ physical fitness during the COVID-19 pandemic: A longitudinal study. Heliyon, 10(7).

[16]  
McDonough, D. J., Helgeson, M. A., Liu, W., & Gao, Z. (2022). Effects of a remote, YouTube-delivered exercise intervention on young adults’ physical activity, sedentary behavior, and sleep during the COVID-19 pandemic: Randomized controlled trial. Journal of Sport and Health Science, 11(2), pp. 145-156.

[17]   | Latino, F., Fischetti, F., Cataldi, S., Monacis, D., & Colella, D. (2021). The impact of an 8-weeks at-home physical activity plan on academic achievement at the time of COVID-19 lock-down in Italian school. Sustainability, 13(11), 5812.
[18]   | Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211.
[19]   | Linder, A., Rotich, J., & Woodson-Smith, A. (2025). Physical activity behaviors among college students enrolled in an online fitness course: An application of Ajzen’s theory of planned behavior. Journal of Physical Activity Research. 2025, 10(1), 1-6.
[20]   | Yeh, T., Lu, H., & Pai, F. (2026). Exploring factors influencing regular exercise intention in high school females: An empirical study based on the theory of planned behavior. Sage Open, 16 (1).
[21]   | Mowreader, A. (2024). How short courses benefit student success. Inside Higher Ed.

[22]  
Motevalli, M., Drenowatz, C., Tanous, D., Ruedl, G., Kirschner, W., Schauer, M., Rosemann, T., & Wirnitzer, K. (2025). Guideline-based digital exercise interventions for reducing body weight and fat and promoting physical activity in adults with overweight and obesity: Systematic review and meta-analysis. Interactive Journal of Medical Research, 14.

[23]   | Phipps, D., Hagger, M., Mejia, D., & Hamilton, K. (2024). Testing the effect of cue consistency on the past behavior-habit-physical activity relationship. Journal of Behavior Science, 14 (6), 445.
[24]   | Ma, H., Wang, A., Pei, R., & Piao, M. (2023). Effects of habit formation interventions on physical activity habit strength: meta-analysis and meta-regression. International Journal of Behavioral Nutrition and Physical Activity, 20 (109).
[25]   | Bustamante-Mora, A., Dieguez-Rebolledo, M., Zegarra, M., Escobar, F., & Epuyao, G. (2025). Environmental conditions and their impact on student concentration and learning in university environments: A case study of education for sustainability. Journal of Sustainability, 17(3), 1071.
[26]   | Pan, F., Zhu, G., Sui, W., & Fu, M. (2024). The effects of peer interaction on learning outcomes of college students in digital environment: the chain-mediated role of attitude and self-efficacy. Studies in Education Evaluation, 83.
[27]   | Luo, H., & Li, W. (2025). Impact of microlearning on developing soft skills of university students across disciplines. Frontiers in Psychology, 16.
[28]   | Woodall, R., Ransdell, L., Lencioni, A., Mursolova, S., Martin, E., & Gao, Y. (2024). A scoping review of 20 years of college fitness/wellness courses. Quest, 77 (2), 119-149.
[29]   | Aigner, C. (2025). Examining health behavior change in a college health course: improvements in intention and motivation to change. Health Education, 125 (6), 720-732.
[30]   | Malta, K., Glickman, C., Hunter, K., McBride, A. (2025). Comparing the impact of online and in-person active learning in preclinical medical education. BMC Medical Education, 25 (329).
[31]   | Zhao, M., Wu, J., Shao, Y., Chen, J., & Ling, L. (2025). Environmental perceptions and social support as predictors of continued participation in nighttime physical activity. BMC Public Health, 25 (4290).
[32]   | Wu, Y. T., Wu, Y. F., Ye, J. H., Nong, W., & Ye, J. N. (2025). An examination of online physical education participation and its effects on health promotion. Frontiers in public health, 13.
[33]   | Delk, D., & Johnson, J. (2024). Higher learning as a conduit to healthy living: A review of physical activity and health education courses offered and required at Historically Black Colleges and Universities. International Journal of Kinesiology in Higher Education 8(3):1-12.
[34]   | Gao, W., Chen, J., Tu, Z., & Li, M. (2025). Correlational research on college students’ physical exercise behavior, academic engagement, and self-efficacy. Frontier in Psychology, 16.
[35]   | Yuan, F., Peng, S., Khairani, A., & Liang, J. (2024). A systematic review and meta-analysis of the efficacy of physical activity interventions among university students. Sustainability, 16 (4) 1369.
[36]   | Ziegler, H. (2024). The influence of the educational environment on college student physical activity behaviors. Journal of American College Health, 72 (1), 153-165.