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Participation levels of physical activity programs for community-dwelling older adults: a systematic review

  • Marielle van der Deijl1,
  • Astrid Etman1Email author,
  • Carlijn B M Kamphuis1 and
  • Frank J van Lenthe1
BMC Public Health201414:1301

https://doi.org/10.1186/1471-2458-14-1301

Received: 18 July 2014

Accepted: 12 December 2014

Published: 18 December 2014

Abstract

Background

Although many physical activity (PA) programs have been implemented and tested for effectiveness, high participation levels are needed in order to achieve public health impact. This study aimed to determine participation levels of PA programs aimed to improve PA among community-dwelling older adults.

Methods

We searched five databases up until March 2013 (PubMed, PubMed publisher, Cochrane Library, EMBASE, and Web of Science) to identify English-written studies investigating the effect of PA programs on at least one component of PA (e.g. frequency, duration) among community-dwelling populations (i.e. not in a primary care setting and/or assisted living or nursing home) of persons aged 55 years and older. Proportions of participants starting and completing the PA programs (initial and sustained participation, respectively) were determined.

Results

The search strategy yielded 11,994 records of which 16 studies were included reporting on 17 PA programs. The number of participants enrolled in the PA programs ranged between 24 and 582 persons. For 12 PA programs it was not possible to calculate initial participation because the number of older adults invited to participate was unknown due to convenience sampling. Of the five remaining programs, mean initial participation level was 9.2% (±5.7%). Mean sustained participation level of all 17 programs was 79.8% (±13.2%).

Conclusions

Understanding how to optimize initial participation of older adults in PA programs deserves more attention in order to improve the population impact of PA programs for community-dwelling older adults.

Keywords

Elderly Participation level Exercise Intervention

Background

The worldwide population is ageing rapidly. Between 2000 and 2050, the world’s population over 60 years will double from about 11% to 22% [1], and healthcare costs will rise substantially [2]. Participating in regular physical activity (PA) is important for older adults, since it has positive effects on muscle strength, flexibility, balance, falls risk, and occurrence of chronic diseases [3], and may prevent or delay loss of independent living [4]. Preventive measures aimed at increasing PA levels should focus on those aged 55 years and older since they have been found to be at increased risk of adverse outcomes such as frailty and disability [5, 6].

High initial and sustained participation in PA programs is important for achieving public health impact [7]. However, although many PA programs have been implemented and tested for effectiveness [8], strikingly little is known about the participation levels of these programs [9, 10]. For example, low-intensity programs with a small effect and high participation rates may have a higher overall impact as compared to high-intensity programs with large effects and low participation rates [1113]. As such, the identification of PA programs with high levels of participation is important for the development of future PA programs. Therefore, a systematic review was conducted to determine participation levels of PA programs aimed to improve PA among community-dwelling older adults aged 55 years and older. Furthermore, it was investigated what program characteristics and characteristics of participants distinct PA programs with higher participation levels from PA programs with lower participation levels.

Methods

Search strategy

Specified search strategies were developed for five bibliographic databases up until March 2013: PubMed, PubMed publisher, Cochrane Library, EMBASE, and Web of Science. The full electronic search strategy for Pubmed was:

((aged NOT (boy* OR girl* OR child*OR month* OR middle)) OR elder* OR senior* OR (old* AND (adult* OR people*))) AND (((communit* OR home) AND (living OR dwell* OR residen* OR based OR population*)) OR (residential* NOT (care OR home OR facilit*)) OR in home OR at home OR domestic*))) AND (exerci* OR sports OR physical OR activity OR activities OR walking OR swimming OR cycling OR strength OR endurance OR power OR pedometer OR accelerometer) AND (program* OR intervention* OR experiment* OR (group AND lesson*) OR government*) AND (effectiv* OR evaluat* OR outcome* OR benefit*)

The search strategies for the other databases can be found in the Additional file 1.

Study selection

Studies were included when they were: 1) written in English; 2) conducted among community-dwelling populations (i.e. not in a primary care setting and/or assisted living or nursing home); 3) among persons aged 55 years and older; 4) described programs targeting at least one component of PA (e.g. walking group, exercise class); and 5) evaluating the effect of at least one component of PA (e.g. frequency, duration). Studies were excluded when these: exclusively targeted older adults with a specific medical condition (e.g. dementia, depression), focused on cost-effectiveness; and/or reported on study protocols only.

One reviewer (MvdD) performed the initial selection of titles and abstracts in the literature search. A second reviewer (AE) was consulted to screen a random sub-set, and in case of doubt to discuss until agreement was reached. All corresponding authors of included studies were contacted and reference lists of previously published systematic reviews were checked to make sure all relevant articles were captured. This extra search did not result in extra studies eligible for inclusion.

Data extraction

A data extraction form was used to collect information on participation levels (dependent variable) and characteristics of participants and program characteristics (independent variables). Characteristics of participants included sex distribution (% females) and mean age of the participants. The program characteristics included: sampling method (probability sampling vs. convenience); method of recruitment; location (home-based vs. group-based); content (e.g. walking group); duration (months); number of contacts; supervision (yes vs. no); and (maximal) group size. Probability sampling is a method of sampling that utilizes some form of random selection, whereas convenience sampling is a technique where subjects are selected because of their convenient accessibility and proximity to the researcher (e.g. inviting through advertisements). One reviewer (MvdD) performed the data extraction and a second reviewer (AE) verified all extracted data. In case of doubt, data were discussed until agreement was reached.

Participation levels

In order to calculate participation levels the following measures were used, numbers of persons that: 1) were invited to participate (i.e. available sample); 2) started the PA program; and 3) completed the PA program. By using these measures initial and sustained participation levels were calculated. Initial participation was defined as the number of participants that enrolled in the program divided by the number of persons invited to participate. Sustained participation was defined as the number of participants who completed the program divided by the number of participants that started the program [7].

Risk of bias

Studies reporting significant effects of PA programs on PA outcomes are more likely to be published as compared to studies in which no significant results were found. However, it is unlikely that this publication bias would affect our results since we focused on participation level as the main outcome, and no differences in participation level are to be expected between effective and non-effective PA programs.

Statistical analysis

Descriptive statistics (e.g. means, standard deviations, ranges) were used to summarize the results. Mean sustained participation level was calculated for all PA programs as well as for effective PA programs only. An effective PA program was defined as a program for which a significant effect on at least one PA outcome was reported. Pearson correlations were calculated in order to investigate the correlation between participation levels and: gender distribution of the participants; mean age of the participants; program duration; and group size.

Results

Literature search

The search strategy yielded 11,994 records. After removing duplicates, 6,759 records remained which were screened based on title and abstract. Sixteen studies reporting on 17 PA programs, were included which were published between 2002 and 2013 since no studies prior to this time met the inclusion criteria (Figure 1).
Figure 1

PRISMA 2009 Flow Diagram.

Characteristics of participants and programs

The mean age of the participants ranged between 66 to 84 years (overall mean 73.8 ± 6.6 years). In three programs only females participated [1416]. Of the remaining 14 PA programs, on average 70.2% (±13.3%) of the participants were females (range 47-89%).

Program characteristics that showed the most variation were the location at which the program took place and the content of the program. Six programs were home-based [14, 15, 1720], five programs were group-based [16, 2124], and six were both home- and group-based [2529]. Three programs involved group-walking [14, 16, 18], seven programs involved multifaceted activities such as a combination of education and a training program [15, 17, 20, 22, 25, 27], and seven programs involved various PA such as a pedometer intervention or different exercise programs [19, 21, 23, 24, 26, 28, 29] (Table 1). PA outcomes that were evaluated were: general PA level (n = 9); walking (n = 6); and household and sports activities (n = 1).
Table 1

Characteristics of PA programs aimed at improving PA among community-dwelling persons aged 55 years and older (n=17)

Participation level

Characteristics of participants

Program characteristics

Study

Initial participation (%)

Sustained participation (%)

% Females

Mean age in years (range)

Sampling method

Method of recruitment

Home- or group-based

Content

Duration

Contacts

Supervision

Group size

Burke, 2013 [17]

16.2 (478/2,949)

78.4 (375/478)

48

66 (range not reported)

Probability sampling

From 60 suburbs/ neighborhoods of a city; random selection (method not reported)

Home-based

Multifaceted: booklet with PA and nutritional recommendations, resistance band, pedometer

6 months

6-10 telephone calls and/or 2-5 emails

No

0

Hopman-Rocka, 2002 [25]

12.9 (71/551)

70.4 (50/71)

63

Mean not reported (75-85)

Probability sampling

From a city selected and approached by mail for participation

Combination

Multifaceted; health education, group exercises, home exercises

3 months

Group meeting once plus exercises at home minimally 3 times/week

Yes

25

Cheng, 2009 [18]

8.2 (96/1,175)

79.2 (76/96)

47

70 (65-69)

Probability sampling

By using a list of names obtained from the department of households; letters were sent

Home-based

Walking training

3 months

3 meetings

Yes

0

Rosenberg, 2012 [26]

7.3 (87/1,196)

74.6 (64/87)

76

84 (69-98)

Probability sampling

From 4 senior-living facilities. Study information flyers were sent to all potential eligible residents

Combination

Standard intervention (pedometer, educational, group meeting) Enhanced intervention (+ telephone counseling, environmental awareness)

3 months

Biweekly group meeting

Yes

-

Rydwik, 2009 [27]

1.4 (96/6,999)

66.7 (64/96)

60

83 (range not reported)

Convenience sampling

By using questionnaires, advertisements in local newspaper, primary care and home service administration organized by the local authorities

Combination

Multifaceted: Training group (T) Group with training and nutrition (T+N) Nutrition-only group (N)

9 months

3 months twice a week training sessions (T and T+N), followed by 6 months home-based exercises (T)

Yes

5-8

Koizumi, 2009 [19]

-

100 (68/68)

100

67 (60-78)

Convenience sampling

From senior centers and advertisement in local papers

Home-based

Lifestyle PA: 9000 steps and 30 min moderate intensity PA per day

3 months

1 meeting individual

No

0

Shaw, 2008 [14]

-

100 (24/24)

100

Mean and range not reported

Convenience sampling

Four senior centers that host a program. One-on-one recruitment of other program participants and posting of signs in the center to announce the program

Home-based

A daily walking-for-exercise program at respective senior center (instruction to walk)

3 months

-

No

0

Bonnefoy, 2012 [15]

            
 

-

96.1 (98/102)

86

84 (78-97)

Probability sampling

Representatives and home helpers from associations involved in home assistance for the elderly, help to recruit people for participation

Home-based

Multifaceted; education meeting, nutrition supplement, 13 exercises per day at home

4 months

1 meeting

Yes

0

Fujita, 2003 [21]

-

95.4 (62/65)

54

67 (60-81)

Convenience sampling

From advertisements in local newspapers, bulletin, poster

Group-based

Progressive endurance training and resistance exercises

6 months

2-3 times/week

Yes

31

Sarkisian, 2007 [22]

            
 

-

90.2 (46/51)

89

77 (range not reported)

Probability sampling

From three senior centers (method not reported)

Group-based

Multifaceted; attribution retraining, PA class

1 month

Once a week

Yes

8-14

Croteau, 2007 [20]

-

82.6 (147/178)

78

73 (55-94)

Convenience sampling

From various educational, health, and social programs offered in area

Home-based

Multifaceted: pedometer, individual meeting, group meeting once a month

3 months

3 group- and 1 individual meeting

No

0

Opdenacker, 2008 [28]

-

78.3 (141/180)

49

67 (range not reported)

Convenience sampling

By using personal letters and advertisements on local radio and in local newspapers

Combination

Structural exercise intervention Home-based lifestyle intervention

11 months

3 times/week

Yes

10

Hernandes, 2012[23]

-

78.0 (238/305)

69

68 (64-71)

Probability sampling

Controls recruited among individuals participating in another project Experimental group recruited from 5 community-based exercise programs in the same city

Group-based

Community-based exercise program: aerobic exercises

4-40 months (on average 12 months)

2 times/week

Yes

13

De Vreede, 2007 [24]

-

75.5 (74/98)

100

74 (range not reported)

Convenience sampling

From advertisements in a local newspaper

Group-based

Functional tasks exercise program resistance strength exercise program

3 months

3 times/week

Yes

6-12

Michael, 2008 [16]

-

73.1 (424/582)

71

74 (range not reported)

Probability sampling

Neighborhoods in a city were selected demarcated by the city council

Group-based

Leader led walking group

6 months

3 times/week

Yes

10

Helbostad, 2004 [29]

-

68.8 (53/77)

81

81 (range not reported)

Convenience sampling

Invitations to participate were distributed by health care workers and by announcement in the local newspaper

Combination

Combined training: meeting at home, training classes

3 months

2 times/week

Yes

5-8

Hopman-Rockb, 2002 [25]

-

50.3 (196/390)

82

72 (55-75)

Convenience sampling

Advertisement in local newspapers and other media, personal communication, and a brochure

Combination

Multifaceted; health education, group exercises, home exercises

3 months

Group meeting once plus exercises at home minimally 3 times/week

Yes

22 (maximum 25)

Initial and sustained participation

The number of participants enrolled in the PA programs ranged between 24 and 582, with a mean of 174 (±165). It was not possible to calculate initial participation levels for 12 PA programs, because their applied sampling methods (e.g. convenience sampling) made it unclear how many older adults were invited to participate. The mean initial participation level of the five remaining PA programs was 9.2% (±5.7%), with a range between 1% [27] and 16% [17]. It was not possible to calculate correlations of characteristics of participants and programs with initial participation levels because of the low number of studies reporting initial participation levels.

Between 24 and 424 (mean 129 ± 117) participants completed the PA programs. The mean proportion of persons completing the program was 79.8% (±13.2%; n =17) ranging between 50.3% [25] and 100% [14, 19]. Of the 12 effective PA programs [14, 1620, 22, 25, 2729] the mean proportion of persons completing the program was 71.3% (±21.9%). Correlations showed that higher sustained participation levels were related to lower mean age of the participants (r = −.182), higher proportions of females (r = .279), lower duration of the program (r = −.137), and smaller group sizes (r = −.367), but none of these correlations reached significance.

Discussion

This systematic review identified 17 PA programs that aimed to improve PA among community-dwelling older adults. The mean proportion of participants starting the program (initial participation level) was 9.2%, but could only be calculated for five PA programs. The 17 PA programs had a mean sustained participation level of 79.8%. No significant correlations were found for participant or program characteristics with sustained participation level.

The mean initial participation level of 9.2% is difficult to interpret without additional information about the method of recruitment and effort or resources invested. For example 9.2% seems high when recruitment is done by putting up an advertisement in a community building, but low when mailing people personally and subsequently phoning them. Although for public health impact it is important to have insight into the number of older adults that would participate when providing a PA program [30], for 12 PA programs important information was missing. This is striking since information on initial participation gives insight into potential selective participation and in the external validity of the results. Furthermore, in the recent CONSORT statement it was emphasized to include information on the eligible participants in order to increase validity [31]. Thus, it is important that at least an indication of initial participation levels is reported when the effects of PA programs are studied. Therefore, for future studies it is highly recommended to include information regarding the number of persons that were invited to participate in the PA program. Although, none of the included PA programs in this current systematic review included online components, it is of interest to study the growing implementation of online PA programs [32] which potentially increase the ease of initial participation.

The overall mean sustained participation level of almost 80% found in the current systematic review was higher than expected, as lower participation levels have been found among children [33, 34], and for other types of health-behaviour programs for older adults [10]. The mean sustained participation level of effective PA programs was lower than the overall mean. This could imply that the effective programs have a smaller overall population impact when implemented on a larger scale as compared to programs with smaller effects but higher sustained participation levels [1113].

No significant correlations were found for participant or program characteristics with sustained participation level which may be due to the small number of studies that were eligible for inclusion. Although the size of the correlations indicated that a low mean age of the participants, high proportions of females participating, short duration of the program, and a small group size are likely to increase levels of sustained participation, these factors should be investigated further as potential determinants of sustained participation. Jancey et al. (2007) showed that can be related to low socioeconomic status, overweight, low PA level at the start, low walking self-efficacy, and loneliness may also be related to low sustained participation levels of PA programs among older adults [35].

Conclusions

Calculating initial participation levels of PA programs aimed to improve PA levels among community-dwelling older adults is hindered by high levels of convenience sampling. Sustained participation among those who started participating in PA programs is high. A low mean age of participants, high proportions of females participating, short duration of program, and a small group size are likely to increase levels of sustained participation. In order to improve the population impact of PA programs among community-dwelling older adults, more knowledge is needed into how initial and sustained participation levels can be optimized.

Declarations

Acknowledgements

Many thanks to Wichor Bramer, a librarian of the Erasmus University MC who helped establishing the key-words and databases. This study was financially supported by the Erasmus University MC in Rotterdam.

Authors’ Affiliations

(1)
Department of Public Health Erasmus MC

References

  1. World Health Organization: Aging and life course. http://www.who.int/ageing/en/,
  2. Ministry of health, welfare, and sport: Constatering ‘We geven steeds meer uit aan zorg’. In report, De zorg: hoeveel extra is het ons waard?. 2012, Den Haag: Ministerie van Volksgezondheid, 6-11.Google Scholar
  3. Nelson EM, Rejeski WJ, Blair SN, Duncan PW, Judge JO, King AC, Macer CA, Castaneda-Sceppa C: Physical activity and public health in older adults: recommendation from the American College of Sports Medicine and the American Heart Association. Med Sci Sports Exerc. 2007, 39 (Suppl 8): 1435-1445.View ArticlePubMedGoogle Scholar
  4. Boult C, Kane RL, Louis TA, Boult L, McCaffrey D: Chronic conditions that lead to functional limitation in the elderly. J Gerontol. 1994, 49 (Suppl 1): 28-36.View ArticleGoogle Scholar
  5. Etman A, Burdorf A, Van der Cammen TJ, Mackenbach JP, Van Lenthe FJ: Socio-demographic determinants of worsening in frailty among community-dwelling older people in 11 European countries. J Epidemiol Community Health. 2012, 66 (12): 1116-1121. 10.1136/jech-2011-200027.View ArticlePubMedGoogle Scholar
  6. Odding E, Valkenburg HA, Stam HJ, Hofman A: Determinants of locomotor disability in people aged 55 years and over: the Rotterdam study. Eur J Epidemiol. 2001, 17 (11): 1033-1041. 10.1023/A:1020006909285.View ArticlePubMedGoogle Scholar
  7. Robroek SJW, van Lenthe FJ, van Empelen P, Burdorf A: Determinants of participation in worksite health promotion programs: a systematic review. Int J of Behav Nutr Phys Act. 2009, 6: 26-10.1186/1479-5868-6-26.View ArticleGoogle Scholar
  8. Kahn EB, Ramsey LT, Brownson RC, Heath GW, Howze EH, Powell KE, Stone EJ, Rajab MW, Corso P: The effectiveness of interventions to increase physical activity A systematic review. Am J Prev Med. 2002, 22 (Suppl 4): 73-102.View ArticlePubMedGoogle Scholar
  9. Des Jarlais DCLC, Crepaz N: Improving the reporting quality of nonrandomized evaluations of behavioural and public health interventions: the TREND statement. Am J Public Health. 2004, 94: 361-366. 10.2105/AJPH.94.3.361.View ArticlePubMedPubMed CentralGoogle Scholar
  10. Patten SBLF, Cook T: Irritable bowel syndrome: are incentives useful for improving survey response rates?. J Clin Epidemiol. 2003, 56: 256-261. 10.1016/S0895-4356(02)00586-3.View ArticlePubMedGoogle Scholar
  11. Vogt TM, Hollis JF, Lichtenstein E, Stevens VJ, Glasgow R, Whitlock E: The medical care system and prevention: the need for a new paradigm. HMO Pract. 1998, 12: 6-14.Google Scholar
  12. Kristein MM, Arnold CB, Wynde EL: Health economics and preventive care. Science. 1977, 195: 457-462. 10.1126/science.402026.View ArticlePubMedGoogle Scholar
  13. Hatziandrew EJ, Sacks J, Brown R, Taylor WR, Rosenberg ML, Graham JD: The cost-effectiveness of three programs to increase use of bicycle helmets among children. Public Health Rep. 1995, 110: 251-259.Google Scholar
  14. Shaw KL, Page C: A pilot community-based walking-for-exercise program for senior women. Top Geriatr Rehabil. 2008, 24 (4): 315-324. 10.1097/TGR.0b013e31818cd005.View ArticleGoogle Scholar
  15. Bonnefoy M, Boutitie B, Mercier C, Gueyffier F, Carre C, Guetemme G, Ravis B, Laville M, Cornu C: Efficacy of a home-based intervention programme on the physical activity level and functional ability of older people using domestic services: a randomized study. J Nutr Health Aging. 2012, 16 (4): 370-377. 10.1007/s12603-011-0352-6.View ArticlePubMedGoogle Scholar
  16. Michael YL, Carlson NE: Analysis of individual social-ecological mediators and moderators and their ability to explain effect of a randomized neighborhood walking intervention. Int J Behav Nutr Phys Act. 2009, 6: 49-60. 10.1186/1479-5868-6-49.View ArticlePubMedPubMed CentralGoogle Scholar
  17. Burke L, Lee AH, Jancey J, Xiang L, Kerr DA, Howat PA, Hills AP, Anderson AS: Physical activity and nutrition behavioural outcomes of a home-based intervention program for seniors: a randomized trial. Int J Behav Nutr Phys Act. 2013, 10: 14-10.1186/1479-5868-10-14.View ArticlePubMedPubMed CentralGoogle Scholar
  18. Cheng SP, Tsai TI, Lii YK, Yu S, Chou CL, Chen IJ: The effects of a 12-week walking program on community-dwelling elderly. Res Q Exerc Sport. 2009, 80 (3): 524-532. 10.1080/02701367.2009.10599590.View ArticlePubMedGoogle Scholar
  19. Koizumi D, Rogers NL, Rogers ME, Islam MM, Kusonoki M, Takeshima N: Efficacy of an accelerometer-guided physical activity intervention in community-dwelling older women. J Phys Act Health. 2009, 6: 467-474.PubMedGoogle Scholar
  20. Croteau KA, Richeso NE, Farmer BC, Jones DB: Effect of a pedometer-based intervention on daily step counts of community-dwelling older adults. Res Q Exerc Sport. 2007, 78 (Suppl 5): 401-406.View ArticlePubMedGoogle Scholar
  21. Fujita K, Nagatomi R, Hozawa A, Ohkubo T, Sato K, Anza Y, Sauvaget C, Wanatabe Y, Tamagawa A, Tsuij I: Effects of exercise training on physical activity in older people: a randomized controlled trial. J Epidemiol. 2003, 13 (2): 120-126. 10.2188/jea.13.120.View ArticlePubMedGoogle Scholar
  22. Sarkisian CA, Probaska TR, Davis C, Weiner B: Pilot test of an attribution retraining intervention to raise walking levels in sedentary older adults. J Am Geriatr Soc. 2007, 55: 1842-1846. 10.1111/j.1532-5415.2007.01427.x.View ArticlePubMedGoogle Scholar
  23. Hernandes NA, Probst VS, Da Silva Jr RA, Januario RSB, Pitta F, Teixeira DC: Physical activity in daily life in physically independent elderly participating in community-based exercise program. Braz J Phys Ther. 2013, 17 (Suppl 1): 57-63.View ArticlePubMedGoogle Scholar
  24. De Vreede PL, van Meeteren NL, Samsom MM, Wittink HM, Duursma SA, Verhaar HJ: The effect of functional tasks exercise and resistance exercise on health-related quality of life and physical activity. Gerontology. 2007, 53: 12-20. 10.1159/000095387.View ArticlePubMedGoogle Scholar
  25. Hopman-Rock M, Westhoff MH: Development and evaluation of ‘aging well and healthily’: a health-education and exercise program for community-living older adults. J Aging Phys Act. 2002, 10: 364-381.Google Scholar
  26. Rosenberg DE, Kerr J, Sallis JF, Norman GJ, Calfas K, Patrick K: Promoting walking among older adults living in retirement communities. J Aging Phys Act. 2012, 20: 379-394.PubMedGoogle Scholar
  27. Rydwik E, Frandin K, Akner G: Effects of a physical training and nutritional intervention program in frail elderly people regarding habitual physical activity level and activities of daily living- a randomized controlled pilot study. Arch Gerontol Geriatr. 2010, 51: 283-289. 10.1016/j.archger.2009.12.001.View ArticlePubMedGoogle Scholar
  28. Opdenacker J, Boen F, Coorevits N, Delecluse C: Effectiveness of a lifestyle intervention and a structured exercise intervention in older adults. Prev Med. 2008, 46: 518-524. 10.1016/j.ypmed.2008.02.017.View ArticlePubMedGoogle Scholar
  29. Helbostad JL, Sletvold O, Moe-Nilssen R: Home training with and without additional group training in physically frail old people living at home: effect on health-related quality of life and ambulation. Clin Rehabil. 2004, 18: 498-508. 10.1191/0269215504cr761oa.View ArticlePubMedGoogle Scholar
  30. Glasgow RE, Vogt TM, Boles SM: Evaluating the public health impact of health promotion interventions: The RE-AIM framework. Am J Public Health. 1999, 89 (9): 1322-1327. 10.2105/AJPH.89.9.1322.View ArticlePubMedPubMed CentralGoogle Scholar
  31. Moher D, Schulz KF, Altman DG: The CONSORT statement: revised recommendations for improving the quality of reports of parallel group randomized trials. Lancet. 2001, 357 (9263): 1191-1194. 10.1016/S0140-6736(00)04337-3.View ArticlePubMedGoogle Scholar
  32. Vandelanotte C, Spathonis KM, Eakin EG, Owen N: Website-delivered physical activity interventions: a review of the literature. Am J Prev Med. 2007, 33 (1): 54-64. 10.1016/j.amepre.2007.02.041.View ArticlePubMedGoogle Scholar
  33. Gortmaker SL, Peterson K, Wiecha J, Sobol AM, Dixit S, Fox MK, Lair N: Reducing obesity via school-based interdisciplinary intervention among youth. Ach Pediatr Adolesc Med. 1999, 153: 409-418. 10.1001/archpedi.153.4.409.View ArticleGoogle Scholar
  34. Doak CM, Visscher TLS, Renders CM, Seidell JC: The prevention of overweight and obesity in children and adolescents: a review of interventions and programs. Obes Rev. 2006, 7: 11-136.View ArticleGoogle Scholar
  35. Jancey J, Lee A, Howat P, Clarke A: Reducing attrition in physical activity programs for older adults. J Aging Phys Acty. 2007, 15: 152-165.Google Scholar
  36. Pre-publication history

    1. The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2458/14/1301/prepub

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