- Research article
- Open Access
- Open Peer Review
Increasing the use of preventative health services to promote healthy eating, physical activity and weight management: the acceptability and potential effectiveness of a proactive telemarketing approach
© Wolfenden et al.; licensee BioMed Central Ltd. 2012
- Received: 22 May 2012
- Accepted: 31 October 2012
- Published: 7 November 2012
Telephone based interventions are effective in promoting health behaviours. The use of telephone based support services to promote healthy eating, activity or weight loss, however, are currently under-utilised. The aim of this study was to assess the acceptability and potential effectiveness of a telemarketing approach in increasing community use of proactive services to encourage healthy eating, physical activity and weight loss.
The study employed a cross sectional design. Eligible consenting participants completed a 15 minute telephone survey conducted by trained telephone interviewers using computer assisted telephone interviewing technology.
Overall, 87% of participants considered it acceptable for a health service to contact people by telephone to offer assistance to help them lose weight, eat healthily or be more physically active. Among participants with inadequate fruit and vegetable intake, physical activity or who were overweight, 64%, 54% and 61% respectively reported that they would use one or more of the proactive support services offered. Females and those from non -English speaking households who did not eat sufficient serves were significantly more likely to report that they would use support services.
The findings suggest that proactive telemarketing of health services to facilitate healthy eating, physical activity or weight loss is considered highly acceptable and may be effective in encouraging service use by more than half of all adults with these behavioural risks.
- Health service utilization
- Physical activity
An unhealthy diet, insufficient physical activity, and excessive weight gain are among the primary risk factors of premature morbidity or mortality due to chronic disease [1, 2]. While such chronic disease risks are common [3–5], research suggests that there is a strong desire in the community to lead healthier lifestyles. Community assessments of stage of change, for example, suggest that over half of adults are contemplating, preparing or currently trying to improve their diet or activity [6–8]. Similarly population based studies report that between 29-57% of adults are currently trying to lose weight [9–12].
A number of interventions are available to adults in the community to support efforts to improve health behaviours. Systematic reviews have found that intensive behavioural counselling delivered via primary care settings, telephone based support and tailored print materials can improve diet and physical activity and facilitate weight loss [13–17]. Evidence regarding the effectiveness of face to face commercial programs, and those delivered via email or the web remain equivocal [18–22]. Nonetheless, reviews of such interventions have identified the existence of efficacious initiatives [18–22].
Despite interest in healthier lifestyles, few adults use support services to facilitate health behaviour changes. Population surveys indicate that just 3-6% of adults enroll in formal programs [11, 23] to facilitate weight loss despite considerable media advertising promoting such programs and less than 35% receive brief dietary, physical activity advice and support from their primary care physician [24, 25] despite clinical practice guidelines suggesting physicians should routinely provide preventive care to patients. Similarly research suggests that less than 5% of adults contact telephone services to improve health behaviours [26, 27]. For example, despite media promotion, just 4828 adults contacted a free, government funded, state-wide telephone coaching service to improve diet, physical activity and weight loss in the first 18 months of service operation, representing substantially less than 1% of the state’s overweight population . Finally, while the internet is frequently used to search for information regarding physical activity and diet (40-50% of U.S internet users annually) , the prevalence of community use of formal web based programs for dietary, physical activity or weight status improvement is unknown. Perhaps unsurprisingly, population surveys report that just 20-30% of adults attempting to lose weight report the recommended practices of eating fewer calories and exercising more [10, 12, 23].
Television, print, or radio advertisements are often employed to promote the use of preventive health services. While such initiatives can increase service use, they have often been criticised as costly, and typically require adults to take action and solicit support . An alternate method of increasing the initial uptake of support services, is to actively contact and offer support direct to community in an unsolicited manner (i.e. pro-actively recruit). To the authors knowledge, previous studies have not examined the likely impact of such direct tele-marketing of services to encourage healthy eating, physical activity or weight loss. The Puckhet community based cardiovascular disease prevention program, however, utilised unsolicited telephone calls to household-holds to increase use a group based programs to reduce behavioural risk factors for chronic disease . As part of the initiative approximately 25% of all households contacted enrolled in a group program. Similarly, direct contact interventions (in person or via telephone) have been extensively used to increase mammography screening, with a meta-analysis of 25 interventions reportedly increasing attendance from 21% to 46% . Furthermore, a recent study demonstrated that a proactive, cold call, telephone recruitment approach was effective in recruiting 52% of all smokers from randomly selected households in the community to receive smoking cessation support provided by a Quitline, far higher than previous estimates of prevalence of Quitline use in the community (1-7%) [32, 33].
The health impact of many support services is also constrained by high rates of program discontinuation, reducing the likelihood of successful behavioural changes [20, 22, 34, 35]. A study of over 60,000 adults enrolling in the Jenny Craig commercial weight loss program, for example, reported that just 22% remained in the program at 6 months . Similarly, trials of web based interventions report substantial reductions in the extent to which users log-on and engage with such programs over time . Proactively providing ongoing intervention contact may reduce the likelihood of program attrition and increase the potential effectiveness of behaviour change strategies. For example, telephone, email or print based interventions are capable of providing tailored intervention support direct to consumers, at a time of their convenience, in a way which does not require users to travel or log on, and which is not reliant on participants to trigger the provision of support .
Despite the potential merits of proactive approaches to increase the initial uptake and ongoing use of services promoting a healthy diet, physical activity and healthy weight loss, the feasibility of these strategies require investigation. The aim of this study was to assess the acceptability and potential effectiveness of a telemarketing approach in increasing community use of such services. We also sought to identify possible barriers to, and the demographic predictors of likely use of, such services.
The research was approved and the study procedures monitored by the Hunter New England Human Research Ethics Committee and the University of Newcastle Human Research Ethics Committee.
Study design and sample
A descriptive cross sectional survey was undertaken. The sampling frame for this study was a cohort of participants of an earlier random household telephone health survey who agreed to be contacted and invited to participate in future health research. Randomly selected participants from the cohort were telephoned, assessed for eligibility and invited to participate in this study. To be eligible, participants were required to speak English, be aged over 18 years, reside in New South Wales (NSW), Australia and have at least one of the following health risks: i) a body mass index of ≥25 (based on self reported height and weight) ; ii) consume less than 2 serves of fruits or 5 serves of vegetables (based on self reported consumption ); iii) participate in less than 150 minutes of physical activity per week (based on self reported activity assessed using the Active Australia survey items) .
Data collection and measures
Eligible consenting participants completed a 15 minute telephone survey conducted by trained telephone interviewers using computer assisted telephone interviewing technology. The surveys items assessed participant demographics, the acceptability of cold calls, and based on their assessed behavioural risks, the likelihood that they would use a telephone support service to improve their diet and physical activity or to lose weight.
During the telephone survey all participants were asked a series of demographic items assessing age, gender, highest educational qualification, household income, and if the participant was Aboriginal or Torres Strait Islander, or spoke a language other than English at home. Items assessing participant demographics were sourced from the ongoing NSW Government Population Health Survey .
Acceptability of cold calls
All participants were asked if they thought it is acceptable (acceptable, unsure, unacceptable) for a health service to contact people by telephone to offer assistance to help them lose weight, eat healthily or be more physically active.
Likely service use
Items to assess likely service use were based on those from previously published studies [29, 39]. Participants were read the following statement: ‘I am going to read out a list of possible services. Imagine that, the services were available to you for free, at a time convenient to you’. Participants with a body mass index of ≥25 were asked to report if it was likely (yes or no) that they would use the services to lose weight. Participants who were consuming less than the recommended 2 services of fruit or 5 serves of vegetables were asked if it was likely that they would use the services to help improve their diet, and those not participating in the recommended 150 minutes of physical activity each week were asked if it was likely that they would use the services to increase their physical activity. To reduce participant burden, participants with 2 or more of these self reported health risks were randomly assigned to assessments of likely service use pertaining to one risk only, rather than repeating assessments for each behavioural risk. As such, all participants were divided into three exclusive groups (insufficient fruit and vegetable consumption; insufficient physical activity; or overweight or obese) based on sharing a common risk.
Mailed proactive support described to participants as: ‘personalized mailed letters and self-help materials like brochures tailored to your needs to check on your weight loss/healthy eating/physical activity progress and to provide you with information and support’.
E-mailed proactive support described to participants as: ‘personalized e-mails tailored to your needs to check on your check on your weight loss/healthy eating/physical activity progress and to provide you with information and support.
Proactive telephone support described to the participant as: ‘a we-call-you telephone support and information service for people who want to lose weight/improve their diet/increase the physical activity. This would involve arranging convenient times for the service to call you to support you while you are in the process of attempting to lose weight/improve your diet/increase your physical activity. How often you receive the calls would be up to you’.
Interactive voice response (IVR) proactive telephone support described to participants as: ‘an automated pre-recorded phone counselling call tailored to your needs to help you lose weight/improve your diet/increase your physical activity. This would be a “we-call-you” approach; however, the call would be made by a computer and a pre-recorded voice could help you with things like suggesting weight loss/healthy eating/physical activity strategies’.
All participants indicating that it was likely that they would use a service were then asked to report, over a 6 month period, the number of service contacts they would be willing to receive.
Barriers to service use
Participants indicating that it was unlikely they would use any of the above services were asked to report the main reason that they would not use each service. Participants were free to nominate any such barriers. Responses to items were then categorised by the research team.
Data was analysed in SAS version 9.2 statistical software. Descriptive statistics were used to describe the characteristics of the sample, and participant responses to acceptability and service barrier items. Associations between the health risk groups and reports of support service use were evaluated through Chi-Square tests for categorical variables and ANOVA for continuous ones. Multiple logistic regression models, controlling for all demographic variables were used to generate odds ratios and examine demographic associations with reported likely use of any support services by group. All statistical tests were two tailed with an alpha of .05.
Participant characteristics by group
Insufficient fruit and vegetable intake group (n = 324)
Insufficient physical activity group (n = 93)
Overweight or obese group (n = 165)
<50 years of age
Language other than English spoken at home
Aboriginal or Torres Strait Islander
University or college education
Annual household income before tax of > $80,000 A
Acceptability of cold calls
Overall, 87% of participants considered it acceptable for a health service to contact people by telephone to offer assistance to help them lose weight, eat healthily or be more physically active.
Likely service use
Likely use of support services by group
Insufficient fruit and vegetable intake group % (95%CI)
Insufficient physical activity group % (95%CI)
Overweight or obese group % (95%CI)
Mail Proactive support
Number of mail contacts (mean, sd)
Email proactive support
Number of Email contacts (mean, sd)
Proactive telephone support
Number of telephone contacts (mean, sd)
Proactive IVR support
Number of IVR contacts (mean, sd)
Any support service
Barriers to service use
Barriers to proactive support service use
No desire to change % (95%CI)
Prefer to try without help % (95%CI)
Service would not help me % (95%CI)
Lack of time % (95%CI)
Dislike of technology % (95%CI)
Not wanting pressure % (95%CI)
Prefer face to face % (95%CI)
Dislike of phone calls % (95%CI)
Unlikely to open, read or act on it % (95%CI)
Other % (95%CI)
Demographic associations with service use
Associations between demographic characteristics and likely use of any healthy eating, physical activity, or weight loss support services
Inadequate fruit and vegetable intake group Adjusted OR
Inadequate physical activity group Adjusted OR
Overweight/obese group Adjusted OR
Language other than English spoken at home
University or college education
Given the under-utilisation of effective health promotion services to prevent chronic disease [11, 23, 26], research examining strategies to increase service utilisation is required if the public health benefits of such evidence based services are to be realised. The findings of the study suggest that proactive telemarketing of health services to facilitate healthy eating, physical activity or weight loss is considered highly acceptable and may be effective in encouraging service use by more than half of all adults with these behavioural risks. Furthermore, participants indicated that they would be willing to receive between 6 and 15 intervention support contacts from services over a 6 month period, a surprisingly intensive intervention dose. Collectively such findings indicate that telemarketing of preventative health services may represent an effective strategy in providing evidence based support to adults to reduce their health risks, and has the potential to make an important contribution to reducing the public health burden of chronic disease.
Consistent with community interest in addressing health risks [6–11], overall, interest in support services use was high, particularly for tailored print or email based support. Least popular was telephone support delivered via interactive voice recording, due in part to a dislike of such technology, a finding consistent with previous evaluations of interactive voice response (IVR) technology [29, 39]. Nonetheless, the provision of tailored print, mail or IVR health services direct to the community has public health appeal given the capacity for such support to be delivered on a population wide basis at very little cost [14, 35, 40]. Between one in four and one in five participants indicated an interest in receiving proactive telephone support (via person), far higher than the prevalence of community members with behavioural risks for chronic disease which contact telephone based support services of their own volition [32, 33]. The potential effectiveness of proactive telemarketing approaches to recruiting those behaviourally at risk of chronic disease to receive telephone based support is timely, given a need identified in recent systematic reviews for research to facilitate the translation of telephone based diet and physical activity interventions which are now know to be unequivocally efficacious [14, 35].
Among those in the insufficient fruit and vegetable, and the overweight or obese groups, women were more likely to report an interest in using support services to improve these health risks. Such findings are consistent with previous literature,  and may reflect greater concern regarding their weight, more frequent use of dieting strategies, and greater motivation to improve their health among woman relative to men [9, 10]. Adults from households where a non-English language is also spoken were found to be more likely to report interest in at least one service to support dietary (p = .01) but not for physical activity (p=.10) or for weight loss (p = .87). Previous research suggests that self-perceptions of overweight are similar across ethnic groups , potentially explaining the lack of a consistent association across each of the health risk groups. Culturally and linguistically diverse groups in the community typically experience a number of unique barriers to accessing health services .While participants who could not speak English were excluded from trial participation, the findings are encouraging and suggest that proactively contacting households where a non-English language is also spoken may represent one strategy of connecting culturally and linguistically diverse groups to culturally appropriate prevention services targeting diet. Surprisingly, participants from higher income households or who were University of College educated were no more likely to indicate that they would utilise a healthy eating, physical activity or weight loss support services relative to those less advantaged. Such findings suggest that proactive telemarketing of such health promotion services may be unlikely to further widen the socio-economic disparities in chronic disease .
While the findings indicate that proactive telephone contact may be effective in encouraging a substantial proportion of adults to engage in supportive initiatives to improve their diet physical activity or weight status, the advantage of such an approach in increasing the absolute numbers of community members who utilise such a support services relative to the other approaches warrants further investigation. Previous research examining methods to increase use of cancer screening services for example, suggests that small media strategies such as (e.g. video, letters, brochures and flyers) may be effective in increasing service use . Similarly, developing systems to enable referral by clinicians of patients in need of health behaviour improvement may represent an acceptable and effective means of enhancing support service use . Investigating the relative effectiveness and cost effectiveness of such approaches in isolation and in combination should therefore be considered.
An important limitation of the study was its reliance on intended service use. Such reports are likely to represent an over estimate . There are also a number of constraints on the external validity of the study findings. For example, the study recruited participants from an existing Australian research cohort. Such participants may differ systematically from the community in their interest in support service use or perceived acceptability of proactive telemarketing of health services. Furthermore, participants in this study were predominately female, and were from lower income households compared with the New South Wales population . Previous research suggests that women and those from socio-economically advantaged households are more likely to report interest in preventive health services . Future research investigating the unsolicited telemarketing and practice provision of support services in populations more representative of the Australian community and in other jurisdictions internationally is warranted to verify the study findings. Nonetheless, the study provides important formative research for health services interested in increasing the use of evidence based chronic disease prevention services and addresses an under studied yet important issue in public health dissemination [48–50].
The findings suggest that proactive telemarketing of health services to facilitate healthy eating, physical activity or weight loss is considered highly acceptable and may be effective in encouraging service use by more than half of all adults with these behavioural risks. Given the limited use of existing telephone based support services, further research examining the potential cost effectiveness of employing such techniques in enhancing service use and promoting positive health behaviour changes in the community are warranted.
The study was conducted with infrastructure support provided by Hunter New England Population Health and the Hunter Medical Research Institute.
- World Health Organisation: Preventing chronic disease: a vital investment. 2005, Geneva: World Health OrganizationGoogle Scholar
- Taskforce NPH: Australia: the healthiest country by 2020. 2009, Canberra: National Preventative Health Strategy - OverviewGoogle Scholar
- Dumith SC, Hallal PC, Reis RS, et al: Worldwide prevalence of physical inactivity and its association with human development index in 76 countries. Prev Med. 2011, 53: 24-28. 10.1016/j.ypmed.2011.02.017.View ArticlePubMedGoogle Scholar
- Lock K, Pomerleau J, Causer L, et al: The global burden of disease attributable to low consumption of fruit and vegetables: implications for the global strategy on diet. Bull World Health Organ. 2005, 83: 100-108.PubMedPubMed CentralGoogle Scholar
- Wang YC, McPherson K, Marsh T, et al: Health and economic burden of the projected obesity trends in the USA and the UK. Lancet. 2011, 378: 815-825. 10.1016/S0140-6736(11)60814-3.View ArticlePubMedGoogle Scholar
- Nothwehr F, Snetselaar L, Yang J, et al: Stage of change for healthful eating and use of behavioral strategies. J Am Diet Assoc. 2006, 106: 1035-1041. 10.1016/j.jada.2006.04.017.View ArticlePubMedGoogle Scholar
- Campbell MK, Reynolds KD, Havas S, et al: Stages of change for increasing fruit and vegetable consumption among adults and young adults participating in the national 5-a-Day for better health community studies. Health Educ Behav. 1999, 26: 513-534. 10.1177/109019819902600409.View ArticlePubMedGoogle Scholar
- Booth ML, Macaskill P, Owen N, et al: Population prevalence and correlates of stages of change in physical activity. Health Educ Behav. 1993, 20: 431-440. 10.1177/109019819302000312.View ArticleGoogle Scholar
- Timperio A, Cameron-Smith D, Burns C, et al: The public’s response to the obesity epidemic in Australia: weight concerns and weight control practices of men and women. Public Health Nutr. 2000, 3: 417-424.View ArticlePubMedGoogle Scholar
- Serdula MK, Mokdad AH, Williamson DF, et al: Prevalence of attempting weight loss and strategies for controlling weight. JAMA. 1999, 282: 1353-1358. 10.1001/jama.282.14.1353.View ArticlePubMedGoogle Scholar
- Field AE, Haines J, Rosner B, et al: Weight-control behaviors and subsequent weight change among adolescents and young adult females. Am J Clin Nutr. 2010, 91: 147-153. 10.3945/ajcn.2009.28321.View ArticlePubMedGoogle Scholar
- Kottke TE, Clark MM, Aase LA, et al: Self-reported weight, weight goals, and weight control strategies of a midwestern population. Mayo Clin Proc. 2002, 77: 114-121.View ArticlePubMedGoogle Scholar
- Lin JS, O’Connor E, Whitlock EP, et al: Behavioral counseling to promote physical activity and a healthful diet to prevent cardiovascular disease in adults: a systematic review for the U.S. Preventive Services Task Force. Ann Intern Med. 2010, 153: 736-750.View ArticlePubMedGoogle Scholar
- Goode AD, Reeves MM, Eakin EG: Telephone-delivered interventions for physical activity and dietary behavior change: an updated systematic review. Am J Prev Med. 2012, 42: 81-88. 10.1016/j.amepre.2011.08.025.View ArticlePubMedGoogle Scholar
- Short CE, James EL, Plotnikoff RC, et al: Efficacy of tailored-print interventions to promote physical activity: a systematic review of randomised trials. Int J Behav Nutr Phys Act. 2011, 8: 113-10.1186/1479-5868-8-113.View ArticlePubMedPubMed CentralGoogle Scholar
- Svetkey LP, Stevens VJ, Brantley PJ, et al: Comparison of strategies for sustaining weight loss: the weight loss maintenance randomized controlled trial. JAMA. 2008, 299: 1139-1148. 10.1001/jama.299.10.1139.View ArticlePubMedGoogle Scholar
- Digenio AG, Mancuso JP, Gerber RA, et al: Comparison of methods for delivering a lifestyle modification program for obese patients: a randomized trial. Ann Intern Med. 2009, 150: 255-262.View ArticlePubMedGoogle Scholar
- Tsai AG, Wadden TA: Systematic review: an evaluation of major commercial weight loss programs in the united states. Ann Intern Med. 2005, 142: 56-66.View ArticlePubMedGoogle Scholar
- Arem H, Irwin M: A review of web-based weight loss interventions in adults. Obes Rev. 2011, 12: e236-e243. 10.1111/j.1467-789X.2010.00787.x.View ArticlePubMedGoogle Scholar
- Vandelanotte C, Spathonis KM, Eakin EG, et al: Website-delivered physical activity interventions a review of the literature. Am J Prev Med. 2007, 33: 54-64. 10.1016/j.amepre.2007.02.041.View ArticlePubMedGoogle Scholar
- Manzoni GM, Pagnini F, Corti S, et al: Internet-based behavioral interventions for obesity: an updated systematic review. Clin Pract Epidemiol Ment Health. 2011, 7: 19-28. 10.2174/1745017901107010019.View ArticlePubMedPubMed CentralGoogle Scholar
- Neve M, Morgan PJ, Jones PR, et al: Effectiveness of web-based interventions in achieving weight loss and weight loss maintenance in overweight and obese adults: a systematic review with meta-analysis. Obes Rev. 2010, 11: 306-321. 10.1111/j.1467-789X.2009.00646.x.View ArticlePubMedGoogle Scholar
- Kruger J, Galuska DA, Serdula MK, et al: Attempting to lose weight: specific practices among U.S. adults. Am J Prev Med. 2004, 26: 402-406. 10.1016/j.amepre.2004.02.001.View ArticlePubMedGoogle Scholar
- McAvoy BR, Kaner EF, Lock CA, et al: Our Healthier Nation: are general practitioners willing and able to deliver? A survey of attitudes to and involvement in health promotion and lifestyle counselling. Br J Gen Pract. 1999, 49: 187-190.PubMedPubMed CentralGoogle Scholar
- Sauvageau C, Groulx S, Pelletier A, et al: Do you counsel your patients on their health behaviors?. Can J Public Health. 2008, 99: 31-35.PubMedGoogle Scholar
- O’Hara B, Phongsavan P, Venugopal K, Bauman A: Characteristics of participants in Australia’s Get Healthy telephone-based lifestyle information and coaching service: reaching disadvantaged communities and those most at need. Health Educ Res. 2011, 26 (6): 1097-1106. 10.1093/her/cyr091.View ArticlePubMedGoogle Scholar
- Graham AL, Milner P, Saul JE, et al: Online advertising as a public health and recruitment tool: comparison of different media campaigns to increase demand for smoking cessation interventions. J Med Internet Res. 2008, 10: e50-10.2196/jmir.1001.View ArticlePubMedPubMed CentralGoogle Scholar
- Fox S: PEW Internet & American Life Project. Health information online. 2005, Washington D.C: Pew Internet & American Life ProjectGoogle Scholar
- Paul CL, Wiggers J, Daly JB, et al: Direct telemarketing of smoking cessation interventions: will smokers take the call?. Addiction. 2004, 99 (7): 907-913. 10.1111/j.1360-0443.2004.00773.x.View ArticlePubMedGoogle Scholar
- Schwertfeger R, Elder JP, Cooper R, et al: The use of telemarketing in the community-wide prevention of heart disease: the Pawtucket Heart Health Program. J Community Health. 1986, 11: 172-180. 10.1007/BF01338798.View ArticlePubMedGoogle Scholar
- Denhaerynck K, Lesaffre E, Baele J, et al: Mammography screening attendance: meta-analysis of the effect of direct-contact invitation. Am J Prev Med. 2003, 25: 195-203. 10.1016/S0749-3797(03)00201-0.View ArticlePubMedGoogle Scholar
- Miller CL, Wakefield M, Roberts L: Uptake and effectiveness of the Australian telephone Quitline service in the context of a mass media campaign. Tob Control. 2003, 12 (Suppl 2): ii53-ii58.PubMedPubMed CentralGoogle Scholar
- Tzelepis F, Paul CL, Walsh RA, et al: Telephone recruitment into a randomized controlled trial of quitline support. Am J Prev Med. 2009, 37: 324-329. 10.1016/j.amepre.2009.05.022.View ArticlePubMedGoogle Scholar
- Eakin E, Brown W, Schofield G, et al: General practitioner advice on physical activity–who gets it?. Am J Health Promot. 2007, 21: 225-228. 10.4278/0890-1171-21.4.225.View ArticlePubMedGoogle Scholar
- Eakin EG, Lawler SP, Vandelanotte C, et al: Telephone interventions for physical activity and dietary behavior change - A systematic review. Am J Prev Med. 2007, 32: 419-434. 10.1016/j.amepre.2007.01.004.View ArticlePubMedGoogle Scholar
- Finley CE, Barlow CE, Greenway FL, et al: Retention rates and weight loss in a commercial weight loss program. Int J Obes (Lond). 2007, 31: 292-298. 10.1038/sj.ijo.0803395.View ArticleGoogle Scholar
- Centre for Epidemiology and Research: 2010 Report on Adult Health from the New South Wales Population Health Survey. 2011, Sydney: NSW Department of HealthGoogle Scholar
- Brown WJ, Burton NW, Marshall AL, et al: Reliability and validity of a modified self-administered version of the Active Australia physical activity survey in a sample of mid-age women. Aust N Z J Public Health. 2008, 32: 535-541. 10.1111/j.1753-6405.2008.00305.x.View ArticlePubMedGoogle Scholar
- Wolfenden L, Bell C, Wiggers J, et al: Engaging parents in child obesity prevention: support preferences of parents. J Paediatr Child Health. 2012, 48: E4-E6. 10.1111/j.1440-1754.2010.01776.x.View ArticlePubMedGoogle Scholar
- Kroeze W, Werkman A, Brug J: A systematic review of randomized trials on the effectiveness of computer-tailored education on physical activity and dietary behaviors. Ann Behav Med. 2006, 31: 205-223. 10.1207/s15324796abm3103_2.View ArticlePubMedGoogle Scholar
- Paeratakul S, White MA, Williamson DA, Ryan DH, Bray GA: Sex, race/ethnicity, socioeconomic status, and BMI in relation to self-perception of overweight. Obesity Res. 2002, 10 (5): 345-350. 10.1038/oby.2002.48.View ArticleGoogle Scholar
- Szczepura A: Access to health care for ethnic minority populations. Postgraduate Medical Journal. 2005, 81: 141-147. 10.1136/pgmj.2004.026237.View ArticlePubMedPubMed CentralGoogle Scholar
- Dalstra J, Kunst A, Borrell C, et al: Socioeconomic differences in the prevalence of common chronic diseases: an overview of eight European countries. International Journal of Epidemiology. 2005, 34: 316-326. 10.1093/ije/dyh386.View ArticlePubMedGoogle Scholar
- Baron RC, Rimer BK, Breslow RA, et al: Client-directed interventions to increase community demand for breast, cervical, and colorectal cancer screening a systematic review. Am J Prev Med. 2008, 35: S34-S55. 10.1016/j.amepre.2008.04.002.View ArticlePubMedGoogle Scholar
- Wolfenden L, Wiggers J, Campbell E, et al: Feasibility, acceptability, and cost of referring surgical patients for postdischarge cessation support from a quitline. Nicotine Tob Res. 2008, 10: 1105-1108. 10.1080/14622200802097472.View ArticlePubMedGoogle Scholar
- Sherwood NE, Morton N, Jeffery RW, et al: Consumer preferences in format and type of community-based weight control programs. Am J Health Promot. 1998, 13: 12-18. 10.4278/0890-1171-13.1.12.View ArticlePubMedGoogle Scholar
- Centre for Epidemiology and Research: 2010 Report on adult health from New south Wales population health survey. 2011, Sydney: NSW Department of HealthGoogle Scholar
- Oldenburg BF, Sallis JF, Ffrench ML, et al: Health promotion research and the diffusion and institutionalization of interventions. Health Educ Res. 1999, 14: 121-130. 10.1093/her/14.1.121.View ArticlePubMedGoogle Scholar
- Milat A, Bauman A, Redman S, et al: Public health research outputs from efficacy to dissemination: a bibliometric analysis. BMC Publ Health. 2011, 11: 934-10.1186/1471-2458-11-934.View ArticleGoogle Scholar
- Sanson-Fisher RW, Campbell EM, Htun AT, et al: We are what we do: research outputs of public health. Am J Prev Med. 2008, 35: 380-385. 10.1016/j.amepre.2008.06.039.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2458/12/953/prepub
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.