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Characteristics of insufficiently active participants that benefit from health-enhancing physical activity (HEPA) promotion programs implemented in the sports club setting
BMC Public Health volume 18, Article number: 685 (2018)
Health-enhancing physical activity (HEPA) promotion programs are implemented in sports clubs. The purpose of this study was to examine the characteristics of the insufficiently active participants that benefit from these programs.
Data of three sporting programs, developed for insufficiently active adults, were used for this study. These sporting programs were implemented in different sports clubs in the Netherlands. Participants completed an online questionnaire at baseline and after six months (n = 458). Of this sample, 35.1% (n = 161) was insufficiently active (i.e. not meeting HEPA levels) at baseline. Accordingly, two groups were compared: participants who were insufficiently active at baseline, but increased their physical activity to HEPA levels after six months (activated group, n = 86) versus participants who were insufficiently active both at baseline and after six months (non-activated group, n = 75). Potential associated characteristics (demographic, social, sport history, physical activity) were included as independent variables in bivariate and multivariate logistic regression analyses.
The percentage of active participants increased significantly from baseline to six months (from 64.9 to 76.9%, p < 0.05). The bivariate logistic regression analyses showed that participants in the activated group were more likely to receive support from family members with regard to their sport participation (62.8% vs. 42.7%, p = 0.02) and spent more time in moderate-intensity physical activity (128 ± 191 min/week vs. 70 ± 106 min/week, p = 0.02) at baseline compared with participants in the non-activated group. These results were confirmed in the multivariate logistic regression analyses: when receiving support from most family members, there is a 216% increase in the odds of being in the activated group (OR = 2.155; 95% CI: 1.118–4.154, p = 0.02) and for each additional 1 min/week spent in moderate-intensity physical activity, the odds increases with 0.3% (OR = 1.003; 95% CI: 1.001–1.006, p = 0.02).
The results suggest that HEPA sporting programs can be used to increase HEPA levels of insufficiently active people, but it seems a challenge to reach the least active ones. It is important that promotional strategies and channels are tailored to the target group. Furthermore, strategies that promote family support may enhance the impact of the programs.
Globally, insufficient physical activity is a major risk factor for mortality and non-communicable diseases, such as cardiovascular diseases, cancer and diabetes . According to international physical activity guidelines, adults should do at least 150 min of moderate-intensity aerobic physical activity throughout the week or do at least 75 min of vigorous-intensity aerobic physical activity throughout the week . The guidelines can also be met by a comparable amount of both moderate- and vigorous-intensity physical activity. However, research indicates that a third of the world’s population is not meeting these levels of health-enhancing physical activity (HEPA) . Considering the importance of regular physical activity in the prevention of mortality and non-communicable diseases, these findings are alarming [1, 4, 5].
Consequently, HEPA promotion is a priority aim of the World Health Organization (WHO), other health professionals and policy makers in different countries [1, 6,7,8,9,10]. According to the WHO, health should be promoted in the places where people live, learn, work and play . Therefore, HEPA should also be stimulated in different settings. The involvement of the organized sports sector, and in particular the sports club, as a setting for HEPA promotion is a new strategy implemented by health professionals and policy makers [6, 7, 9, 10]. Due to their wide reach, their informal learning environment and the voluntary nature of participation, sports clubs have great potential in promoting HEPA in the population [12, 13]. Nonetheless, sport participation is characterized by considerable inequalities. Participation rates are lower among women, decline with age and are reduced in people with chronic diseases, low levels of education and people from culturally diverse backgrounds [14,15,16]. Concurrently, the people in these population subgroups are also more likely to be insufficiently active and at higher risk for developing non-communicable diseases [1, 3, 4, 17]. Thus, increasing these target groups’ HEPA levels through participation in sport at a sports club may be challenging.
In the research literature, some examples of HEPA promotion strategies in the sports club setting can be found [6, 7, 10, 18]. There is some evidence that relatively short sporting programs, implemented by sports clubs, can be used to encourage insufficiently active people to engage in and continue sport at HEPA levels [19, 20]. However, these studies considered the participant population as a whole. Therefore, the purpose of this study was to examine the characteristics of the insufficiently active participants that benefit from these programs in terms of increasing HEPA. The study results can contribute to developing effective and tailored sporting programs aimed at insufficiently active people. In addition, the findings will guide health professionals, policy makers and sport practitioners in their choices for HEPA promotion strategies regarding this target group.
Data from participants of three sporting programs, aimed at insufficiently active adults, were used, namely Start to Run, Start2Bike and Through 4 Days Marches (see Table 1). These data were collected in light of a larger study in which both a process and effectiveness evaluation of the programs were conducted [10, 19, 20]. In this study, more in-depth analyses of the data were performed. The data of the individual sporting programs were combined into one dataset to increase statistical power of the study (i.e. the number of insufficiently active people per sporting program was relatively low). The datasets could be combined because the programs were all adapted to insufficiently active adults, using feasible sports (i.e. running, sportive cycling and walking can be done anywhere and at any time), similar training principles and similar strategies to retain participants. Dutch National Sports Federations (NSFs) started the programs within the National Action Plan for Sport and Exercise which was aimed at increasing the number of people meeting HEPA levels . Different sports clubs implemented the programs in the period 2008–2011. Online questionnaires were sent to participants at the start of the programs (spring 2009) and after six months. The NSFs provided e-mail addresses of participants who had subscribed for the programs in spring 2009 (n = 1314). The baseline questionnaire contained detailed information about the background and aims of the study. In addition, participants were informed that participation was voluntary, all collected information would be kept strictly confidential and only anonymized data would be published. In case of questions about the research, they could contact the researcher by email or telephone. By completing the baseline questionnaire, participants gave consent for participation in the study (n = 834). In total, 458 participants finished both questionnaires and formed the initial sample of this study (see Fig. 1 for the flow of participants through the study). Non-response analyses showed that program participants who did not complete the six-month measurement were more likely to be female (71.0% female vs. 57.0% female) and significantly younger (41 ± 11 years vs. 45 ± 11 years) compared with participants that did complete this measurement. Furthermore, demographic data collected by the NSFs confirmed that the participants of this study were representative for the entire participant population of the individual sporting programs with regard to age and sex.
This study followed ethical principles (i.e. with regard to enabling participation, informed consent, confidentiality, avoiding undue intrusion, avoiding adverse consequences and data protection) . Participants were not exposed to procedures, nor were they obligated to follow certain behavioral rules (i.e. participants were approached for the study after they had voluntarily registered for participation in the sporting programs). Therefore, in accordance with Dutch law, medical ethics committee’s approval was not mandatory for conducting this study . Study privacy procedures followed Dutch Data Protection Authority regulations. The Transparent Reporting of Evaluations with Nonrandomized Designs (TREND) group reporting standards were used as guidance for reporting of results .
A description of the sporting programs can be found in Table 1. The three sporting programs were developed for insufficiently active adults. The threshold for participation was very low so that adults with no previous training experiences or specific sport skills could participate. In this regard, graded training programs were applied, starting with (very) small amounts of moderate- and/or vigorous-intensity physical activity and gradually increasing intensity and duration of physical activity over time. The physical activities were always adapted to the (physical) abilities of the participants. At the sports club level, sometimes multiple groups were formed with each group providing to a different level of beginner. At the end of the programs, participants could test their sporting abilities by participating in a (test) sporting event (e.g. a 3 km test run). All programs consisted of practice and theory. The practical part consisted of a warming-up, practicing of specific sport skills and cooling-down. There was one group training session each week guided by one or more professional coaches, two or more training sessions were performed individually. Participants received instructions for the individual training sessions from their coaches (face-to-face and through e-mail). Theory items, such as the health benefits of sport participation, healthy food and drinks and prevention of injuries, were discussed with the group before, during or after practice. At the final training session, participants received information about club membership and were encouraged by their coaches (both verbally and through email) to continue participating in the particular sport. Continuation was possible at the club (at reduced costs) in an appropriate beginners’ group. Participation in the programs was at low costs and, for the Start2Bike program, some sports clubs provided cycles to participants during the training program. The NSFs provided trainer courses, especially for the sporting programs, to educate trainers about how to guide the insufficiently active target group. At a national level, the programs were promoted to (potential) participants via national press, websites of the NSFs and social media. Sports clubs recruited participants using different recruitment strategies, like the placement of advertisements in local media and the distribution of posters and flyers in the neighborhood.
Possible associated characteristics
The following characteristics were measured in the baseline questionnaire and included in analyses: demographic characteristics, sport history and physical activity. Social factors were also measured in the baseline questionnaire. Since social factors, like social support from family and friends, are related to physical activity behavior in a number of studies [24,25,26,27,28], these factors were also included in the analyses. The characteristics will be described in more detail below.
Participants were asked to report their sex, age, educational attainment (highest level completed) and the presence of chronic diseases (yes/no). Education was categorized into low-average (high school or lower) and high (higher professional education and university). Due to the low number of participants with low education levels, it was not possible to present this as a separate category in the analysis. Body Mass Index (BMI), defined as weight (kg) divided by height squared (m2), was calculated from participants’ self-reported height and weight. According to WHO standards, participants with a BMI ≥ 25 were classified as overweight . Ethnicity was determined by country of birth of participant’s parents. Based on the standard definition of ethnicity of Statistics Netherlands , participants were divided in people with a Dutch background (i.e. both parents are born in the Netherlands) and people with a foreign background (i.e. at least one parent is born abroad).
Social factors consisted of frequency of sport participation of most family members and friends. This was questioned as follows: Most of my family members/friends participate in sport: ‘never’, ‘one time a week’, ‘a few times a week’ or ‘every day’. Sport participation was defined as regularly if most members of the group participated in sport at least once a week. In addition, it was questioned whether most family members/friends supported the respondent participating in sport: Most of my family members/friends support me participating in sport: ‘yes’ or ‘no’.
Participants’ sport history was assessed by measuring sport participation (yes/no) and membership of a sports club (yes/no) before involvement in the program.
The Short QUestionnaire to ASsess Health-enhancing physical activity (SQUASH) was used to measure physical activity levels of participants at baseline and after six months. This questionnaire is seen as sufficiently reliable and valid to measure adults’ physical activity levels . More details of the SQUASH-procedure can be found in a previous research article . In short, the SQUASH measures physical activity levels for a regular week in the past month. It includes five physical activity domains (commuting activities, leisure-time activities, sport activities, household activities and activities at work and school) and three main queries (days per week, average time per day, self-reported intensity: light, moderate, vigorous). Accordingly, total minutes of physical activity per week and the minutes per week spent in each intensity category were calculated. To measure HEPA levels, the Dutch physical activity norms were used . These norms are based on the international physical activity guidelines and recommend that adults should undertake a minimum of 30 min of moderate-intensity physical activity on five days per week (Dutch Norm for Health-enhancing Physical Activity: DNHPA) or 20 min of vigorous-intensity physical activity on three days per week (Fit-norm) for health benefits. Someone who meets at least one of the two norms adheres to the so-called ‘Combi-norm’, the third norm used in the Netherlands (see also Table 2) [2, 17]. A participant was classified as ‘active’ when he or she met the Combi-norm, because this norm combines both the DNHPA and Fit-norm and indicates whether someone is sufficiently active. Participants not meeting this norm were categorized as ‘insufficiently active’.
Stata statistical software (version 10.1, Stata Corporation, College Station, Texas) was used for statistical analyses. The main characteristics of study participants were described using descriptive statistics. Of the 458 participants included in this study, 35.1% (n = 161) were insufficiently active at baseline. These participants were selected to examine baseline characteristics associated with meeting HEPA levels after six months. For this purpose, two groups were compared: participants who were insufficiently active at baseline, but active after six months (activated group) versus participants who were insufficiently active both at baseline and after six months (non-activated group). First, bivariate logistic regression analyses were used with potential associated characteristics as independent variables and group (activated group vs. non-activated group, with the latter as reference category) as dependent variable. Subsequently, all variables with a P-value < 0.15 were entered into a multivariate model, after which backwards elimination of variables was performed, removing the variable with the least significant P-value (P to remove ≥ 0.10). This was done until only variables with a P-value < 0.05 remained. The type of sporting program (Start to Run, Start2Bike, Through 4 Days Marches) was included as independent variable in all logistic regression analyses to control for possible differences between sporting programs. Dummy variables were created for this purpose, with the Start to Run program serving as reference category. Statistical significance was set at a P-value < 0.05.
Baseline characteristics of participants and changes in physical activity
Baseline characteristics of the participants are presented in Table 3. Of the 458 participants included in this study, 35.1% (n = 161) were insufficiently active. The percentage of active participants increased significantly from baseline to six months (from 64.9 to 76.9%, p < 0.05) (see also Table 3).
Baseline characteristics of insufficiently active participants in comparison with active participants
Baseline characteristics of insufficiently active participants in comparison with active participants are presented in Table 4. There were significant differences between these two groups: insufficiently active participants were more likely to be overweight (50.9% vs. 40.2%, p = 0.02), had less friends that participated in sport regularly (71.4% vs. 80.5%, p = 0.02) and were less likely to be participating in sport before involvement in the sporting program (54.0% vs. 80.1%, p < 0.001). In addition, they spent less of their time in physical activity (2128 ± 1378 min/week vs. 2829 ± 1403 min/week, p < 0.001), in this case moderate- (101 ± 159 min/week vs. 516 ± 714 min/week, p < 0.001) and vigorous-intensity (60 ± 79 min/week vs. 391 ± 341 min/week, p < 0.001) physical activity.
Comparison of activated group vs. non-activated group: results bivariate logistic regression analyses
Table 5 compares the activated group (participants who were insufficiently active at baseline, but active after six months) with the non-activated group (participants who were insufficiently active both at baseline and after six months) on baseline characteristics. Based on the bivariate logistic regression analyses, significant differences between these groups were found: participants in the activated group were more likely to receive support from family members with regard to their sport participation (62.8% vs. 42.7%, p = 0.02) and spent more time in moderate-intensity physical activity (128 ± 191 min/week vs. 70 ± 106 min/week, p = 0.02) at baseline compared with participants in the non-activated group.
Comparison of activated group vs. non-activated group: results multivariate (backwards) logistic regression analyses
Table 6 presents the results of the multivariate (backwards) logistic regression analyses. These analyses confirmed the bivariate logistic regression analyses: participants in the activated group were more likely to receive support from family members with regard to their sport participation and spent on average more minutes in moderate-intensity physical activity at baseline compared with participants in the non-activated group. More specifically, when receiving support from most family members there is a 216% increase in the odds of being in the activated group (OR = 2.155; 95% CI: 1.118–4.154, p = 0.02) and for each additional 1 min/week spent in moderate-intensity physical activity, the odds increases with 0.3% (OR = 1.003; 95% CI: 1.001–1.006, p = 0.02) (see Table 6).
To our knowledge, this is the first study examining the characteristics of the insufficiently active participants that benefit from HEPA promotion programs implemented in the sports club setting. Results showed that a third of the participants was insufficiently active at baseline. The percentage of participants meeting HEPA levels increased significantly during the six-month study period. Insufficiently active participants were more likely to meet HEPA levels after six months when they received support from family members with regard to their sport participation and spent more time in moderate-intensity physical activity at baseline.
Explanation of findings and practical implications
Social support from family to be physically active has been associated with regular physical activity participation and initiation of this behavior [24,25,26,27,28]. For instance, family members can influence sport behavior positively by providing social norms that enable this behavior or by providing positive feedback about (the benefits of) the participant’s sport participation . Therefore, promoting social support from family as a component in HEPA strategies may be advantageous. The examined sporting programs did not use particular social support strategies. Nonetheless, the sports club itself can be an ideal setting to involve other family members as passive or active participants. Introducing family members to the activity at an introductory session, using them as (sporting) buddies or involving them in other club activities (social activities, volunteering), may create the necessary support for the insufficiently active participant to participate in sport. Indeed, sports club activities can include multiple family members . However, from the literature it is not known how much and what kind of support is necessary to initiate sport behavior . Furthermore, the relationship between physical activity and social support is a dynamic process in which the amount and type of support may change over time and through the phases of adoption and maintenance of this behavior [24, 32]. Therefore, research should examine which family support strategies at which stages of behavioral change are most beneficial to increase participant’s sport behavior.
The results suggest that the sporting programs can be used to increase HEPA levels of insufficiently active people, especially of those who already engage in a modest amount of moderate-intensity physical activity. Nonetheless, a majority of the participants was already sufficiently active at baseline and specific insufficiently active population subgroups (e.g. older adults, people with chronic diseases, people with a foreign background, lower educated people) were hardly reached. Barriers and preferences for sport and physical participation vary across different population subgroups . For insufficiently active people, unfamiliarity with the sport setting or the ‘tough’ image of sport may prevent them from participating [10, 33]. Moreover, there is evidence that the target group is less aware of sport and physical activity opportunities in their neighborhood . Therefore, an explanation for not reaching large numbers of insufficiently active people, might be the use of inappropriate recruitment strategies. For these sporting programs, participants were recruited by sports clubs using different recruitment strategies (e.g. the placement of advertisements in local media and the distribution of posters and flyers in the neighborhood). Not knowing the right people or channels to reach insufficiently active people was indeed a barrier for recruitment of this target group by the sports clubs .
To increase the population prevalence of HEPA it is important to attract more insufficiently active people to these HEPA sporting programs. Therefore, sports clubs should promote the sport activities in a non-threatening and fun manner, using promotion channels that are appropriate to the target group. In this regard, they may consider engaging in partnerships with primary health care, community health or other relevant organizations to get closer to this target group . For instance, physicians and other health professionals can refer patients who need to be more physically active for their health to the sporting programs .
Furthermore, for people who are completely inactive, it is not inconceivable that more comprehensive strategies may be necessary to increase their physical activity levels. The threshold for sport participation can be too high for these people. Combining the sporting programs with broader physical activity programs, for instance, could both help in attracting inactive people and increasing their physical activity levels before engaging them into organized sports. For people who are inactive due to medical reasons, initial guidance by a physiotherapist could be helpful in decreasing fear of movement and physical limitations before participating in sport activities.
In general, it is important to know people’s reasons for inactivity and tailor HEPA promotion programs to the inactive target group . This can be achieved by actively involving these people in the development of such programs using different formative research strategies (e.g. interviews, observations, focus groups) [36, 37]. The three sporting programs in the current study were pilot tested before advancing to broader implementation, with also inactive people participating in the pilot phase (4 to 14% of participants) . However, it is not known to what extend their opinions were included in program design (as opposed to the opinions of insufficiently active people in general).
Finally, there might be some inactive people who cannot be persuaded to become physically active at all.
Strengths and limitations of the study
This study was performed in the real-world sport setting, namely sports clubs, with participants voluntarily participating in the sporting programs. Therefore, results are directly transferable into practice. Furthermore, although data were collected in 2009, all three programs are still running (in the same way) in many different sports clubs in the Netherlands with on average 1.500 (Through 4 Days Marches) to 3.500 (Start to Run) participants each year. Thus, considering the recent interest for HEPA promotion in sports clubs, the findings are still relevant today (in 2018). These are strengths of this study. However, there are some limitations to this study which may have implications for interpretation of the results. First, it was not possible to determine why almost half of the participants dropped out of the study between the baseline and six-month measurement. Non-respondents were more likely to be female and somewhat younger, but there were no significant differences between respondents and non-respondents in baseline sport and physical activity behavior. The sporting programs themselves had a very low drop-out rate (i.e. between 2 and 3% of participants stopped with the programs). Furthermore, participants of this study were representative for the entire participant population of the individual sporting programs with regard to age and sex. Thus, it is unlikely that the study findings were influenced markedly by these losses to follow-up. Second, the use of self-report measures may have introduced social desirability biases, for instance, the over-reporting of physical activity. In this case, the percentage of active participants may be overestimated. Third, this study combined data of three sporting programs. This could be done, because the programs were very comparable with regard to their content, i.e. they used feasible sports, graded training programs and similar retention strategies. It is not known, however, to what extent these results are generalizable to other HEPA sporting programs, like programs that use less feasible sports (e.g. indoor sports for which special facilities or equipment are needed) or other training/retention strategies. Fourth, the baseline questionnaire contained a limited number of characteristics (individual, social) of participants. It is possible that other factors that were not measured in this questionnaire may also influence sport participation of insufficiently active people, such as factors in the physical (e.g. proximity to recreational facilities/sports club) or economic (e.g. costs for physical activity) environment [25, 27, 28]. Therefore, in future research, a larger number of factors should be taken into account. Finally, the number of insufficiently active participants was too low to perform more thorough analyses, for instance, to examine characteristics for different levels of baseline physical activity or to perform the analyses separately for males and females.
Considering these limitations, this study does add to the knowledge base about who are the insufficiently active participants that benefit from HEPA promotion programs implemented in the sports club setting. The results suggest that HEPA sporting programs can be used to increase HEPA levels of insufficiently active people, especially of those who receive social support from family members with regard to their sport participation and already participate in a modest amount of moderate-intensity activity. The results may have implications for designing and implementing HEPA promotion programs in the sports clubs setting. For instance, it is important that promotional strategies and channels are tailored to the target group. Furthermore, strategies that promote family support may enhance the impact of the programs. Clearly further research is needed to understand the factors that influence sport and physical activity behavior of insufficiently active people and to develop effective strategies to improve HEPA-levels of this target group.
Body Mass Index
Dutch Norm for Health-enhancing Physical Activity
Health-enhancing physical activity
Moderate-intensity physical activity
National Action Plan for Sport and Exercise
National Sports Federation
Short QUestionnaire to ASsess Health-enhancing physical activity
- TREND group:
The Transparent Reporting of Evaluations with Nonrandomized Designs group
Vigorous-intensity physical activity
World Health Organization (WHO). Global status report on noncommunicable diseases 2010. Geneva: WHO; 2011.
World Health Organization (WHO). Global recommendations on physical activity for health. Geneva: WHO; 2010.
Hallal PC, Andersen LB, Bull FC, Guthold R, Haskell W, Ekelund U. Global physical activity levels: surveillance progress, pitfalls, and prospects. Lancet. 2012;380:247–57.
Kyu HH, Bachman VF, Alexander LT, Mumford JE, Afshin A, Estep K, Veerman JL, Delwiche K, Lannarone ML, Moyer ML, Cercy K, Vos T, Murray CJL, Forouzanfar MH. Physical activity and risk of breast cancer, colon cancer, diabetes, ischemic heart disease, and inschemic stroke events: systemic review and dose-response meta-analysis for the global burden of disease study 2013. BMJ. 2016;354:i3857. https://doi.org/10.1136/bmj.i3857.
Warburton DE, Nicol CW, Bredin SS. Health benefits of physical activity: the evidence. CMAJ. 2006;174:801–9.
Casey MM, Payne WR, Eime RM. Partnership and capacity-building strategies in community sports and recreation programs. Manag Leis. 2009;14:167–76.
Eime RM, Payne WR, Harvey JT. Making sporting clubs healthy and welcoming environments: a strategy to increase participation. J Sci Med Sport. 2008;11:146–54.
European Commission. Communication from the commission to the European parliament, the council, the European economic and social committee and the committee of the regions - Developing the European Dimension in Sport. Brussels: European Commission; 2011.
Kokko S, Donaldson A, Geidne S, Seghers J, Scheerder J, Meganck J, Lane A, Kelly B, Casey M, Eime R, Villberg J, Kannas L. Piecing the puzzle together: case studies of international research in health promoting sports clubs. Glob Health Promot. 2015;23(1):75–84.
Ooms L, Veenhof C, Schipper-van Veldhoven N, de Bakker DH. Sporting programs for inactive population groups: factors influencing implementation in the organized sports setting. BMC Sports Sci Med Rehabil. 2015;7:12. https://doi.org/10.1186/s13102-015-0007-8.
World Health Organization (WHO). Ottawa Charter for Health Promotion. Geneva: WHO; 1986.
Kokko S, Kannas L, Villberg J. The health promoting sports club in Finland--a challenge for the settings-based approach. Health Promot Int. 2006;21:219–29.
Kokko S. Sports clubs as settings for health promotion: fundamentals and an overview to research. Scan J Public Health. 2014;42:60–5.
Downward P, Rasciute S. Exploring the covariates of sport participation for health: an analysis of males and females in England. J Sports Sci. 2014; https://doi.org/10.1080/02640414.2014.924056.
European Commission. Sport and Physical Activity. In: Special Eurobarometer 412/Wave EB80.2. Brussels: TNS Opinion & Social; 2014.
Heron N, Kee F, Cupples ME, Tully MA. Correlates of sport participation in adults with long-standing illness or disability. BMJ Open Sport Exerc Med. 2015;1:e000003. https://doi.org/10.1136/bmjsem-2015-000003.
Bernaards CM. TNO monitor physical activity and health - Physical activity in the Netherlands 2000-2013. Leiden: TNO Healthy Living; 2014.
Casey MM, Payne WR, Brown SJ, Eime RM. Engaging community sport and recreation organisations in population health interventions: factors affecting the formation, implementation, and institutionalisation of partnership efforts. Ann Leisure Res. 2009;12:129–47.
Ooms L, Veenhof C, de Bakker DH. Effectiveness of Start to Run, a 6-week training program for novice runners, on increasing health-enhancing physical activity: a controlled study. BMC Public Health. 2013;13:697. https://doi.org/10.1186/1471-2458-13-697.
Ooms L, Veenhof C, de Bakker DH. The Start2Bike program is effective in increasing health-enhancing physical activity: a controlled study. BMC Public Health. 2017;17:606. https://doi.org/10.1186/s12889-017-4523-1.
Webster S, Lewis J, Brown A. Ethical considerations in qualitative research. In: Ritchie J, Lewis J, McNaughton NC, Ormston R, editors. Qualitative research practice - a guide for social science students and researchers. London: SAGE publications, Ltd; 2014. p. 77–110.
Dutch Government. Dutch law on medical scientific research with humans (WMO). http://wetten.overheid.nl/BWBR0009408/2015-12-17. Accessed 31 Aug 2017.
Des Jarlais DC, Lyles C, Crepaz N, Trend Group. Improving the reporting quality of nonrandomized evaluations of behavioral and public health interventions: the TREND statement. Am J Public Health. 2004;94(3):361–6.
Boutelle KN, Jeffery RW, French SA. Predictors of vigorous exercise adoption and maintenance over four years in a community sample. Int J Behav Nutr Phys Act. 2004;1(1):13. https://doi.org/10.1186/1479-5868-1-13.
Eyler AA. Correlates of physical activity: Who’s active and who’s not? Arthritis Rheum. 2003;49(1):136–40.
McNeill LH, Kreuter MW, Subramanian SV. Social environment and physical activity: a review of concepts and evidence. Soc Sci Med. 2006;63(4):1011–22.
Trost S, Owen N, Bauman AE, Sallis JF, Brown W. Correlates of adults’ participation in physical activity: review and update. Med Sci Sports Exerc. 2002;34(12):1996–2001.
Wendel-Vos W, Droomers M, Kremers S, Brug J, van Lenthe F. Potential environmental determinants of physical activity in adults: a systematic review. Obes Rev. 2007;8:425–40.
World Health Organization (WHO). Obesity: preventing and managing the global epidemic. Geneva: WHO; 2000.
Statistics Netherlands. Year report integration 2012. The Hague: Statistics Netherlands. 2012.
Wendel-Vos GC, Schuit AJ, Saris WH, Kromhout D. Reproducibility and relative validity of the short questionnaire to assess health-enhancing physical activity. J Clin Epidemiol. 2003;56:1163–9.
Oka RK, King AC, Young DR. Sources of social support as predictors of exercise adherence in women and men ages 50 to 65 years. Women Health. 1995;1(2):161–75.
Allender S, Cowburn G, Foster C. Understanding participation in sport and physical activity among children and adults: a review of qualitative studies. Health Educ Res. 2006;21(6):826–35.
Ståhl T, Rütten A, Nutbeam D, Bauman A, Kannas L, Abel T, Lüschen G, Diaz JA, Rodriquez DJA, Vinck J, van der Zee J. The importance of the social environment for physically active lifestyle - results from an international study. Soc Sci Med. 2001;52:1–10.
Khan KM, Thompson AM, Blair SN, Sallis JF, Powell KE, Bull FC, Bauman AE. Sport and exercise as contributors to the health of nations. Lancet. 2012;380:59–64.
Donaldson A, Finch CF. Planning for implementation and translation: seek first to understand the end-users' perspectives. Br J Sports Med. 2012;46:306–7.
Gittelsohn J, Steckler A, Johnson CC, Pratt C, Grieser M, Pickrel J, Stone EJ, Conway T, Coombs D, Staten LK. Formative research in school and community-based health programs and studies: “state of the art” and the TAAG approach. Health Educ Behav. 2006;33:25–39.
Pisters MF, Veenhof C. Evaluation of the pilot phase of the National Action Plan for Sport and Exercise: the sport setting. Utrecht: NIVEL; 2008.
We thank the study participants for their contribution to this study. We would also like to acknowledge Professor Dinny de Bakker for his valuable contribution to this research project.
This study was funded by the Netherlands Olympic Committee and Netherlands Sports Federation (NOC*NSF). NOC*NSF had no role in data collection and analysis and interpretation of data.
Availability of data and materials
The datasets generated and analyzed during the current study are not publicly available to preserve the privacy of participants but are available from the corresponding author on reasonable request.
Ethics approval and consent to participate
The baseline questionnaire contained detailed information about the background and aims of the study. In addition, participants were informed that participation was voluntary, all collected information would be kept strictly confidential and only anonymized data would be published. In case of questions about the research, they could contact the researcher by email or telephone. By completing the baseline questionnaire, participants gave consent for participation in the study. Participants were not exposed to procedures, nor were they obligated to follow certain behavioral rules (i.e. participants were approached for the study after they had voluntarily registered for participation in the sporting programs). Therefore, in accordance with Dutch law, medical ethics committee’s approval was not mandatory for conducting this study .
The authors declare that they have no competing interests.
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Ooms, L., Leemrijse, C., Collard, D. et al. Characteristics of insufficiently active participants that benefit from health-enhancing physical activity (HEPA) promotion programs implemented in the sports club setting. BMC Public Health 18, 685 (2018) doi:10.1186/s12889-018-5579-2
- Sports club
- Sporting program
- Health-enhancing physical activity
- Insufficiently active