Accessing and engaging women from socio-economically disadvantaged areas: a participatory approach to the design of a public health intervention for delivery in a Bingo club
BMC Public Health volume 16, Article number: 345 (2016)
Our aim was to use participatory methods to investigate the feasibility and acceptability of using Bingo clubs for the design and delivery of an evidence-based physical activity and/or healthy eating intervention to socio-economically disadvantaged women. This paper describes the participatory process that has resulted in a physical activity intervention for women aged >55 years, ready for pilot-testing in a Bingo club setting.
Studies using different quantitative and qualitative approaches were conducted among customers and staff of a Bingo club in a city of 85,000 inhabitants in central Scotland. These were designed to take the views of different stakeholders into account, with a view to enhancing uptake, engagement and effectiveness with any proposed intervention.
Sixteen relevant studies were identified in a literature review that generated ideas for intervention components. A questionnaire completed by 151 women in the Bingo club showed that almost half (47 %) aged >55 years were not meeting physical activity guidelines; evidence backed up by accelerometer data from 29 women. Discussions in six focus groups attended by 27 club members revealed different but overlapping motivations for attending the Bingo club (social benefits) and playing Bingo (cognitive benefits). There was some scepticism as to whether the Bingo club was an appropriate setting for an intervention, and a dietary intervention was not favoured. It was clear that any planned intervention needed to utilise the social motivation and habitual nature of attendance at the Bingo club, without taking women away from Bingo games. These results were taken forward to a 5-h long participative workshop with 27 stakeholders (including 19 Bingo players). Intervention design (form and content) was then finalised during two round table research team meetings.
It was possible to access and engage with women living in areas of socio-economic disadvantage through a Bingo club setting. A physical activity intervention for women >55 years is realistic for recruitment, will address the needs of potential recipients in the Bingo club, appears to be feasible and acceptable to club members and staff, and has been designed with their input. A pilot study is underway, investigating recruitment, retention and feasibility of delivery.
Poor diet and lack of physical activity are major public health problems  and are associated with adverse socio-economic position in Scotland [2–4]. Women from socio-economically disadvantaged backgrounds are at increased risk of a range of associated health problems, including type 2 diabetes, cardiovascular disease and cancer. Despite this, many women from deprived areas are excluded from settings used for the delivery of targeted public health interventions, for example schools and workplaces. Consequently, there is a need to explore how to develop novel interventions with sufficient reach to meaningfully access and engage this group.
Both social environment and social cohesion in particular, have been highlighted as predictors of uptake and engagement with interventions . A potentially powerful approach is to use pre-existing social groups and networks to deliver health behaviour interventions. There has, for example, been a fairly strong tradition of using churches for health promotion in the United States , but such settings have been less commonly used in the UK. There is then the further challenge of maintaining any behaviour change that results from delivery of a relatively short intervention .
Uptake and engagement with public health interventions, and consequently their effectiveness, can also be compromised because insufficient attention is paid to the culture, values and concerns of the intended recipients. The importance of engaging with local communities and involving multiple stakeholders in the research process is therefore increasingly recognized . There is growing interest in a community-based participatory research (CBPR) approach to the development, delivery and evaluation of health interventions; involving community members as equal partners in all stages of the research process. While a full CBPR process may not be appropriate or feasible in all situations , it has been used in the delivery of multi-faceted interventions to marginalised groups [10, 11], in exploratory studies [12, 13] and in intervention design .
With this in mind, we identified a novel setting for the design of a health intervention for socio-economically disadvantaged women in the UK, and used elements of a CBPR approach to investigate its potential. Bingo clubs run games sessions at different times every day of the week, and are accessed by hundreds of people, with the socio-demographic group of interest well-represented .
The aims of this study were to investigate the feasibility and acceptability of using a commercial Bingo club for delivery of an evidence-based health intervention to socio-economically disadvantaged women, and to use participatory methods in its development.
This study used elements of a CBPR approach  and was carried out in a commercial Bingo club in a city of around 85,000 inhabitants in Central Scotland. For the purposes of CBPR, the community was defined as Bingo club stakeholders: the manager, members of staff and club members. To represent this ‘community’ at research team meetings, two club members and one staff representative from the Bingo club were invited to join the research team and were given shopping vouchers for their time. At least one ‘lay member’ was present at every research team meeting held in the club and they also attended focus groups and workshops. There were two phases to the project. The purpose of Phase 1 was to explore the wider context by reviewing the scientific literature to identify health interventions delivered in similar settings and circumstances, and to assess the socio-demographic characteristics and health behaviours of women attending the Bingo club. In Phase 2, data surrounding barriers and facilitators to behaviour change among Bingo club members were generated to inform intervention type and content, which was then designed with input from them.
A literature review was conducted to identify group-based physical activity and healthy eating interventions delivered to community-recruited women from socio-economically disadvantaged backgrounds. Electronic searches were conducted using Pub Med, Web of Science, SPORTDiscus, Medline and PsycInfos in July 2013 using groups of thesaurus terms and free terms. Search terms for ‘women’ were used in AND-combinations with terms for ‘socio-economic status’, ‘intervention’, and ‘healthy behaviour’ (physical activity and food) with no limit on date range applied. Additional articles were identified by manually checking reference lists of reviews identified in the search. For grey literature, individuals in key public health organisations were contacted, including National Health Service (NHS) Health Scotland Health Promotion (national and regional), NHS central librarian, Community Food and Health Scotland, and the Physical Activity and Health Alliance.
The titles and abstracts of all published papers were examined for relevance. Studies were included if they were available in English and described a group intervention that addressed physical activity and/or healthy food in an adult community-recruited population of mainly (>85 %) women. Clinical populations were excluded, as were those with long term health conditions, those recruited because of a specific illness, and interventions conducted in primary care settings. Studies specifically targeting adults from low socio-economic groups were included, regardless of how this was defined. The intervention had to have a group-based component with repeated group and/or social contact with other participants.
The interventions identified were classified as targeting physical activity, diet, or both; and those that were effective were examined further to identify the intervention content, and any behavioural change strategies that were employed.
Questionnaire and accelerometers
In order to gather information about Bingo players’ dietary and physical activity behaviours to help inform the content of any intervention, a questionnaire addressing these behaviours was piloted among 24 club members, then administered to a convenience sample of Bingo players as they came in for Bingo sessions. The final questionnaire incorporated a questionnaire from the Active Australia Survey , and the Dietary Intervention in Primary Care (DINE)  measure. Active Australia uses a self-report physical activity questionnaire that asks respondents to recall types and intensity of physical activity carried out over the previous week. The DINE questionnaire measures dietary intake of fibre and fat, with additional questions on fruit and vegetable intake. To supplement the self-reported physical activity data, which can over-estimate physical activity levels, objectively-measured accelerometer data were collected over a one-week period among a sub-sample of questionnaire respondents. Data were then sorted into activity categories using established vector magnitude count-based thresholds as follows: sedentary (<150), light (151 to 2689) and moderate to vigorous activity (>2690) .
We used formative qualitative research methods to explore the range of stakeholder views on promotion of healthy lifestyles and what sort of interventions might be suitable for delivery in a Bingo club. Participants were recruited face-to-face at a manned stall in the Bingo club during one week in April 2013. They were asked if they would be interested in taking part in a ‘health project at the club’ where they would discuss ways in which they could make their lives healthier. Those interested were then invited to attend a focus group which lasted around an hour and was held at the club before or after Bingo sessions, and they received £15 of shopping vouchers for their attendance. Focus groups were considered an appropriate method of qualitative data collection given the importance of pre-existing social networks. Six focus groups were held; they were facilitated by GR with another co-applicant (and sometimes a lay member) always present for note taking. The focus groups were structured around six key questions (Table 1). However, the participants were allowed time to discuss other issues freely as they arose. They found it particularly difficult to come up with their own ideas, unprompted, for ways in which the Bingo club could be used to promote healthier lifestyles. Therefore GR initially used examples of similar interventions identified from the literature for discussion. However, as the focus groups progressed, she was able to present ideas for discussion that had arisen in previous focus groups.
The focus groups were digitally recorded, transcribed and analysed by GR and other co-applicants (RJ, JE, GR, AI) using a thematic framework.
Key stakeholder interviews
Informal conversations took place between members of the research team and the Bingo club manager or one of his two assistant managers on several occasions, and these were written up electronically shortly afterwards. At their request, these informal conversations replaced the formal audio-recorded interviews that had originally been planned.
In order to involve Bingo players and staff in the specific design of the intervention and to tailor it to the Bingo context, a 5-h-long participatory workshop was held in February 2014 at a local hotel to elicit their views. Invitations to the workshop were sent to 36 Bingo club members. These included focus group participants, and women who had initially expressed an interest in the study and for whom we had postal addresses. The event was led by the research team and included a short presentation on the project so far, videos of possible activities (identified from the literature review and focus groups), a chair-based activity session led by the local Council provider, small group discussions of strategies to attract/retain participants, and participant feedback and indication of preferences. Detailed note-taking was undertaken by research team members during group discussions. We used a strategy to elicit activity preferences whereby women placed coloured dots on possible ideas for an intervention on a large flip chart, providing a very visual representation of the results. This ensured that women with stronger views or who were more articulate did not have undue influence. The workshop was not audio-recorded (at some participants’ request) but reflective notes were written up by all researchers at the close of the workshop, which were then synthesised. Participants were also asked to complete a short activity preference questionnaire to guide discussion.
Round table meetings
Two round table meetings with members of the research team were held in April and May 2014 to finalise the intervention. During the first meeting, summary evidence from each of the phases was presented to the group. This included evidence from the literature review on techniques used in other effective interventions, results from the questionnaire, and focus group and workshop-generated data. This generated ideas for intervention components. In the second meeting, these components were specified in greater detail.
This study was approved by the Research Ethics Committee of the School of Health Sciences, University of Stirling.
From an original list of 2,667 academic papers, 120 full texts were reviewed and 16 relevant studies (covering 14 interventions) were identified that described and/or evaluated a physical activity or healthy eating intervention specifically targeted at community-recruited women from socio-economically disadvantaged backgrounds [18–33]. Ten interventions addressed exercise or physical activity [18–20, 22, 24, 27–32], nine targeted diet [18, 21–26, 30, 31, 33] and five targeted both [18, 22, 24, 30, 31]. Included papers were of variable quality (some had no control groups or validated measures) making assessment of effectiveness difficult. Intervention components varied, with ten including some form of education.
When the 15 physical activity interventions were examined in more detail, six of the studies measured and/or reported physical activity-related outcomes [18–20, 24, 27, 29, 31]. There was evidence for effectiveness at changing physical activity behaviour for three interventions [19, 20, 24, 27], and one for increasing physical activity knowledge . Three of these four effective interventions included an educational component and drew upon social cognitive theory , the trans-theoretical model [19, 20] and trans-operant theory , respectively. Using Abraham and Michie’s taxonomy of behaviour change techniques , those strategies that were used in the four effective interventions were identified (Table 2).
Questionnaire/ accelerometer data
There were 162 questionnaires returned. A small number of men (11) completed the questionnaires, but their results were excluded from further analysis. Almost all (97 %) female respondents were white Scottish. Mean age was 57 ± 17.7 years (range 18–91 years). The majority (57 %) lived in the two quintiles of highest deprivation. This was assessed using a post code measure of material deprivation known as the Scottish Index of Multiple Deprivation (SIMD) . 69 % said they were in good, very good or excellent health, despite 53 reporting that they had a condition that affected their health.
The mean number of fruit and vegetables consumed daily by 144 questionnaire respondents was 4.7, and only 19 % reported a high dietary fat intake. Of those who completed the physical activity questions (n = 149), 37 % were found not to be meeting the 2012 UK physical activity guidelines (defined as 150 min/week ), with this proportion higher among respondents >55 years (46 %), than those <55 years (23 %). In total, 29 women agreed to wear accelerometers for one week. Of these, the majority were aged >55 years (n = 20), with the remaining being aged <55 years (n = 9). Mean daily physical activity minutes were 22 and 53 in the older and younger women respectively. The women aged >55 years spent 61 % of their time sedentary, compared to 52 % sedentary time among younger women.
During the recruitment week, 91 women expressed an interest in taking part in the study. Six focus groups were then conducted with 27 women from a range of backgrounds. As Table 3 shows, it was difficult to recruit younger women (18–55 years) to the focus groups, despite additional groups being organised specifically at times/locations to attract them. A higher proportion of women living in areas of deprivation than those from less deprived areas, did not turn up to scheduled focus groups, but the higher proportion of women from deprived backgrounds who initially expressed an interest (reflecting the higher proportion within the study population) meant that they were still well-represented at focus groups.
Table 4 presents findings from the focus groups relevant to intervention design. For example, there were different but overlapping motivations for attending the Bingo club and playing the game of Bingo. A key motivation was social; many women also felt that taking part in Bingo had cognitive benefits. In terms of perceptions of healthy lifestyle, healthy eating was considered to be more important than physical activity. Many women already considered themselves to be busy and ‘active’, although the definition of ‘active’ differed considerably between them, as they had varying levels of mobility. In general, there was scepticism as to whether the Bingo club was an appropriate setting for a health intervention, although some women remained open-minded about this. Many women came to Bingo to relax and for them physical activity contradicted this perceived benefit. A strong view shared by players and staff was that any intervention should not take women away from their primary reason for being there.
The workshop was attended by 27 people. There were 19 Bingo players (three of whom had not attended an earlier focus group), two of the lay research team members (one player, one member of staff), four other members of the research team, and two people from the local Council. Most of the Bingo players were aged >55 years, with only two younger participants.
The results (Table 5) clearly indicated that the participants did not support any form of walking intervention (identified as a possible intervention component from the literature). They gave a strong steer towards group-based, led, manageable and short activities that included music, that were not seen as traditional exercise and did not take place outdoors. They expressed dislike for traditional education sessions and were not supportive of ‘buddy systems’, also identified from the literature. Women were able to contribute useful ideas for Bingo-related incentives for attendance.
Round table meetings
The two round table meetings were each attended by five and six members of the research team respectively. Although the lay members were invited to the round table research meetings, none were able to attend. One was ill and another had been finding it difficult to devote time to the project. It is possible that the venue (University campus) may have deterred the third from attending. However, it would have been difficult to hold these longer and more involved meetings at the Bingo club, where there are distractions from noise and other activity even outwith Bingo sessions.
In the first meeting, the intervention components were identified. Bringing together all the evidence and after a lengthy discussion, a consensus emerged that the intervention would consist of physical activity sessions, the specific nature of which would be chosen by potential participants themselves in a preliminary workshop (as part of the intervention), but which would be delivered indoors in the Bingo club. Participants would devise their own incentives for attendance. There would be time for social interaction and the sessions would also be used as a platform to deliver simple key health messages, for which instructors would be trained. The messages would not be delivered overtly, but where possible would be incorporated naturally into participant discussions.
In the second meeting, these components were specified in more detail. It was agreed that 20–30 min sessions, with an equal length of time for socialising with the instructor present, would be appropriate. Much of this meeting was then devoted to designing a week by week schedule of key messages to be subtly delivered to participants.
As a primary output of this project, a physical activity intervention tailored for women aged >55 years, has been designed for delivery in a setting where women living in areas of socio-economic disadvantage are well-represented. Our work has shown that the Bingo club is a suitable setting for reaching women living in socio-economically deprived areas. Nearly half (44 %) of the focus group participants lived in areas of SIMD1/2, as did 57 % of all research participants.
There were several factors underpinning the decision to target older women in this setting with a physical activity intervention. The Bingo club manager estimated that some 75-80 % of around 2,500 club members were over the age of 45 years, and it was thought probable, even before the research commenced, that we might be working with an older group of women. While some younger women did express an interest in the study, only two women <55 years attended focus groups, despite organising these at times and locations that would be convenient for them. A pragmatic decision was therefore made to tailor the proposed intervention to women aged >55 years who were less likely to be working during the day.
In focus group discussions, many women (particularly older women) reported reasonable dietary habits, and aspects of this were confirmed by the questionnaire which demonstrated satisfactory levels of fruit and vegetable consumption. In contrast, although they did not self-identify as needing to increase physical activity, around one-third of respondents were not meeting physical activity guidelines. This proportion was even higher (47 %) among women >55 years. It is difficult to know how representative the questionnaire respondents were of the wider Bingo club membership, as this was a convenience sample of an unknown total number of players (including 11 men) coming in and out of selected (but diverse) Bingo club sessions during a one-week period. However, they appeared to be broadly representative of club members in terms of socio-demographic characteristics.
During Phase 2, the possibility of designing a healthy eating intervention had been retained. However, discussions with the Bingo club managers had indicated that there would be very significant challenges associated with trying to change menus in the club’s catering outlet. Given that there was a noted lack of enthusiasm for educational sessions among women at the workshop (possibly the only viable way to deliver a healthy eating intervention in this setting), the decision was made to target physical activity behaviours.
The content and design of the intervention was finalised during the participatory workshop . We drew upon and synthesised multiple sources of information in this phase to ensure that the intervention would be acceptable to its intended recipients, but also underpinned by evidence. Initial ideas for intervention components were generated from focus groups and from the literature. While it was difficult for focus group participants to come up with ideas with limited knowledge of physical activity interventions and for a behaviour for which they did not self-identify a need, the focus groups did give a clear direction in terms of motivations and facilitators for women attending the Bingo club itself, and the final intervention reflects these. The views of women at the participatory workshop then very much shaped the components that were included in the final intervention. We drew upon theoretical models to inform the content of the educational messages and to incorporate behavioural strategies that had been used in other effective interventions where appropriate.
The project has shown that it is possible to access and engage with women living in areas of socio-economic disadvantage through a Bingo club setting for discussions around health, and to develop a health intervention. Use of the CBPR approach involved canvassing the views of all Bingo stakeholders. Support from the Bingo club itself was crucial both in terms of access to the premises itself and visible endorsement of the project. Involving lay members on the research team also provided an insider’s perspective of what was possible at the club, including the commercial viewpoint from the staff member. The lay members’ involvement with the project also created trust with other players and increased the project’s credibility in the club. However, this involvement was not problem-free. In particular, there were sensitivities during discussions about Bingo clubs as a setting to recruit women from areas of socio-economic disadvantage, as players do not necessarily self-identify as being disadvantaged. But while having lay members on the research team assisted with the visibility and endorsement of the project, other research team members also put considerable time investment into playing Bingo themselves, and becoming ‘known’ at the club.
While there was support for the proposed physical activity intervention at the Bingo club among workshop participants, whether this support will be reflected in the wider club membership is uncertain. We initially hypothesized that recruitment to and retention in any proposed intervention would be enhanced by taking a CBPR approach and working with a pre-existing social group; this is now being evaluated in a pilot study, as is feasibility of delivery.
The most important lesson learned for public health intervention design in other novel settings is the importance of buy-in from all stakeholders to ensure feasibility. We have been successful in accessing and engaging with Bingo players in the design of a health intervention which will have considerable potential for reaching large numbers of women from areas of socio-economic disadvantage. A specific intervention (the Well!Bingo physical activity intervention) has been designed for women >55 years and is now undergoing feasibility testing in the Bingo club. It consists of five core components, each of which can be adapted to suit the requirements of individual clubs, comprising structured exercise sessions, intervention messages, a social component, Bingo-related attendance strategies and specific training of instructors. The crucial question now is whether the intervention is effective, and whether its effectiveness has been enhanced by the approach we have taken. If so, this will have very important implications for intervention design in other novel settings.
community-based participatory research
Dietary Intervention in Primary Care
National Health Service
Scottish Index of Multiple Deprivation
Rennie KL, Jebb SA. Prevalence of obesity in Great Britain. Obes Rev. 2005;6:11–2.
Scottish Government. Scottish Health Survey 2009 - Volume 1: Main Report. Edinburgh: Scottish Government; 2010.
Scottish Government. Older People Living in the Community - Nutritional Needs, Barriers and Interventions: a Literature Review. 2009. http://www.scotland.gov.uk/Publications/2009/12/07102032/4. Accessed 14 Apr 2016.
Knowledge Scotland. Diet and deprivation. http://www.knowledgescotland.org/briefings.php?id=188. Accessed 14 Apr 2016.
Krak L, Kremers S, Walsh A, Brug H. How is your walking group running? Health Educ. 2006;106:1.
Campbell MK, Hudson MA, Resnicow K, Blakeney N, Paxton A, Baskin M. Church-based health promotion interventions: evidence and lessons learned. Ann Rev Pub Health. 2007;28:213–34.
McMurdo MET, Sugden J, Argo I, Boyle P, Johnston DW, Sniehotta FF, Donnan PT. Do pedometers increase physical activity in sedentary older women? A randomised controlled trial. J Am Geriatr Soc. 2010;59:2099–106.
Global Advocacy for Physical Activity (GAPA) the Advocacy Council of the International Society for Physical Activity and Health (ISPAH). NCD Prevention: Investments that work for physical activity. 2011.
Bogart LM, Uyeda K. Community-based participatory research: Partnering with communities for effective and sustainable behavioural health interventions. Health Psychol. 2009;28:391–3.
Levy JI, Brugge D, Peters JL, Clougherty JE, Saddler SS. A community-based participatory research study of multifaceted in-home environmental interventions for pediatric asthmatics in public housing. Soc Soc Med. 2006;63:2191–203.
Pazoki R, Nabipour I, Seyesnazami N, Imami SR. Effects of a community-based healthy heart program on increasing healthy women’s physical activity: A randomized controlled trial guided by community-based participatory research (CBPR). BMC Public Health. 2007;7:216. doi:10.1186/1471-2458-7-216.
Rhodes SD, Hergenrather KC, Montano J, Remnitz IM, Arceo R, Bloom FR. Using community-based participatory research to develop an intervention to reduce HIV and STD infections among Latino men. AIDS Educ Prev. 2006;18:375–89.
Goh Y-Y, Bogart LM, Sipple-Asher BK, Uyeda K, Hawes-Dawsin J, Olarita-Dhungana J, Ryan GW, Schuster M. Using community-based participatory research to identify potential interventions to overcome barriers to adolescents’ healthy eating and physical activity. J Behavioural Med. 2009;32(5):491–502.
The Gambling Commission. Gambling Industry Statistics April 2010 - March 2015. 2015. http://www.gamblingcommission.gov.uk/Gambling-data-analysis/statistics/Industry-statistics.aspx. Accessed 14 Apr 2016.
Australian Institute of Health and Welfare (2003). The Active Australia Survey. http://www.aihw.gov.au/WorkArea/DownloadAsset.aspx?id=6442454895 Accessed 9 Dec 2015.
Roe L, Strong C, Whiteside C, Neil A, Mant D. Dietary intervention in primary care: validity of the DINE method for diet assessment. Fam Pract. 1994;11:375–81.
Sasaki JE, John D, Freedson PS, 5. Validation and comparison of ActiGraph activity monitors. J Sci Med Sport. 2011;14:411–6.
Backman D, Scruggs V, Atiedu AA, Bowie S, Bye L, Dennis A, Hall M, Ossa A, Wertlied S, Foerster SB. Using a toolbox of tailored educational lessons to improve fruit, vegetable, and physical activity behaviors among African American women in California. J Nutr Educ Behav. 2011;43:S75–85.
Collins R, Lee RE, Albright CL, King AC. Ready to be physically active? The effects of a course preparing low-income multi-ethnic women to be more physically active. Health Educ Behav. 2004;3:47–64.
Albright CL, Pruitt L, Castro C, Gonzalez A, Woo S, King AC. Modifying physical activity in a multi-ethnic sample of low-income women: One-year results from the IMPACT (increasing motivation for physical activity) project. Ann Behav Med. 2005;30:191–200.
Devine CM, Farrell TJ, Hartman R. Sisters in health: Experiential program emphasizing social interaction increases fruit and vegetable intake among low-income adults. J Nutr Educ Behav. 2005;37:265–70.
French SA, Neumark-Sztainer D, Story M, Jeffery RW. Reducing barriers to participation in weight-loss programs in low-income women. J Am Diet Assoc. 1998;98:198–200.
Heneman K, Block-Joy A, Zidenberg-Cherr S, Donohue S, Garcia L, Martin A, Metz D, Smith D, West E, Steinberg FM. A “contract for change” increases produce consumption in low-income women: a pilot study. J Am Diet Assoc. 2005;105:1793–6.
Hovell MF, Mulvihill MM, Buono MJ, Liles S, Schade DH, Washington TA, Manzano R, Sallis JF. Culturally tailored aerobic exercise intervention for low-income Latinas. Am J Health Promot. 2008;22:155–63.
Klassen AC, Garrett-Mayer E, Houts PS, Shankar S, Torio CM. The relationship of body size to participation and success in a fruits and vegetables intervention among low-income women. J Community Health. 2008;33:78–89.
Shankar S, Klassen AC, Garrett-Mayer E, Houts PS, Wang T, McCarthy M, Cain R, Zhang L. Evaluation of a nutrition education intervention for women residents of Washington, DC, public housing communities. Health Educ Res. 2007;22:425–37.
Lindgaerde F, Ahren B. Improved metabolic risk markers following two 6-month physical activity programs among socioeconomic marginalized women of native American ancestry in Lima, Peru. Diabetes Care. 2007;30:2230–2.
Marinescu LG, Sharify D, Krieger J, Saelens BE, Calleja J, Aden A. Be active together: supporting physical activity in public housing communities through women-only programs. Prog Community Health Partnersh. 2013;7:57–66.
Speck BJ, Hines-Martin V, Stetson BA, Looney SW. An environmental intervention aimed at increasing physical activity levels in low-income women. J Cardiovasc Nurs. 2007;22:263–71.
Telle-Hjellset V, Raberg Kjollesdal MK, Bjorge B, Holmboe-Ottesen G, Wandel M, Birkeland KI, Eriksen HR, Hostmark AT. The InnvaDiab-DE-PLAN study: a randomised controlled trial with a culturally adapted education programme improved the risk profile for type 2 diabetes in Pakistani immigrant women. Br J Nutr. 2013;109:529–38.
White SC, Agurto I, Araguas N. Promoting healthy behaviors to prevent chronic disease in Panama and Trinidad & Tobago: results of the women as agents of change project. J Community Health. 2006;31:413–29.
Withall J, Jago R, Fox KR. The effect of a community-based social marketing campaign on recruitment and retention of low-income groups into physical activity programmes - a controlled before-and-after study. BMC Public Health. 2012;12:836–50.
Wrieden W, Anderson AS, Longbottom PJ, Valentine K, Stead M, Caraher M, Lang T, Gray B, Dowler E. The impact of a community-based food skills intervention on cooking confidence, food preparation methods and dietary choices – an exploratory trial. Public Health Nutr. 2006;10:203–11.
Abraham C, Michie S. A taxonomy of behavior change techniques used in interventions. Health Psychol. 2008;27:379–87.
Using the Scottish Index of Multiple Deprivation 2006: Guidance leaflet. http://www.scotland.gov.uk/Publications/2006/10/13142841/1. Accessed 14 Apr 2016.
Department of Health. UK Physical activity guidelines. 2011. https://www.gov.uk/government/publications/uk-physical-activity-guidelines. Accessed 18 Feb 2016.
This study was funded by the Chief Scientist Office, Scotland (reference CZH/4/781). The researchers were independent of the funding body.
Role of study sponsor
The University of Stirling was the study sponsor. The researchers were independent of the study sponsor.
Data sharing statement
Data sharing: Participant level data are available from the corresponding author. Informed consent was not obtained for data sharing but data are anonymised and risk of identification is low.
The authors declare that they have no competing interest.
All authors had full access to all of the data in the study and can take responsibility for the integrity of the data and the accuracy of the data analysis. JE was the Principal Investigator; she contributed to study design, managed the project on a day-to-day basis, assisted with recruitment, attended selected focus groups and the workshop, and wrote the paper. GR carried out the literature review and fieldwork. AI assisted with recruitment and attended selected focus groups. AS contributed to study design and assisted with recruitment. RJ contributed to study design, assisted with recruitment and attended the workshop. CG and DM contributed to study design and assisted with recruitment. MMcM and BW contributed to study design. All authors contributed to analysis and design of the final intervention, commented on drafts of the paper and approved the final version.
About this article
Cite this article
Evans, J.M.M., Ryde, G., Jepson, R. et al. Accessing and engaging women from socio-economically disadvantaged areas: a participatory approach to the design of a public health intervention for delivery in a Bingo club. BMC Public Health 16, 345 (2016). https://doi.org/10.1186/s12889-016-3013-1