Skip to main content

Healthy shopper? Blood pressure testing in a shopping centre Pop-Up in England



Improving detection of elevated blood pressure (BP) remains a public health need. We present results from a Pop-Up health check stationed in shopping centres in England. We hypothesise the rate of case detection is related to measurable ‘unhealthiness’ of the shopping centres.


A Pop-Up health check was sited in four and three shopping centres sampled from the top ten unhealthiest and top 15 healthiest shopping regions respectively, following a report ranking towns/cities based on their unhealthy and healthy retail outlets. On one day in each shopping centre, people were approached and consented to BP testing. Outcome measure was people flagged with BP ≥ 140/90 mmHg (cases).


We detected 45 (22.6%) and 20 (13.1%) cases from testing 199 and 152 adults in the unhealthy and healthy locations respectively (relative risk 1.72; 95% confidence interval: 1.06 to 2.78). A measure of unhealthy retail outlets (e.g. fast-food outlets) within each shopping centre was associated with detection rate (R2 = 0.61; p = 0.04).


An association exists between cases of suspect hypertension found in a health check Pop-Up and measured ‘unhealthiness’ of the shopping centre site. Results hint at strategies for public testing of BP, potentially in the context of reducing health inequalities.

Peer Review reports


Systemic hypertension is a major cause of mortality and morbidity despite availability of preventive interventions [1, 2]. More than one in four adults in England have hypertension although many are unaware of it. Moreover, half the adult population in England simply do not know their blood pressure (BP) ‘numbers’. Identifying treatable hypertension is cost-effective and Public Health England has called for improvement in detection rates, especially in deprived groups, via outreach testing [3]. For example, it is estimated that people from the most deprived areas in England are 30% more likely than the least deprived to have elevated BP [3].

Retail short-term sales spaces, often referred to as Pop-Ups, are a common sight in shopping centres and other public spaces. Pop-Ups create a temporary retail environment that engages customers and generates a feeling of interactivity [4]. Research evidence suggests retail Pop-Ups increase ‘brand awareness’ and are effective marketing tools [5, 6]. The Pop-Up retail sector is estimated to contribute more than £2 billion per year to the UK economy and large numbers of retail consumers visit Pop-Up shops [7].

In England, BP testing is typically carried out within primary care but other testing opportunities exist, including the National Health Service (NHS) Check Invitation and independent campaigns where testing is initiated directly in communities. To our knowledge, temporary Pop-Up health checks in shopping centres have not been explored and this is the main idea of this study.

Since 2009, adults aged 40–74 years in England have been entitled to an NHS Health Check, a scheme designed to find people with early signs of cardiovascular disease (CVD), kidney disease, type 2 diabetes or dementia [8]. Adults within the age range with no known pre-existing conditions are invited to attend a health check every 5 years. These checks are community based; they are delivered via general medical practices, community pharmacies or another community-based provider [9]. An individual’s CVD risk is predicted by taking into account their sociodemographic characteristics, cholesterol, blood pressure, history of smoking and family history [10]. Those found to be at a higher risk of CVD are placed on a ‘high risk’ register and offered annual reviews. Although a primary aim of the NHS Health Check was to reduce health inequalities, uptake of these checks is relatively low, with those at highest risk of CVD more likely not to attend [11]. A recent systematic review of the delivery and impact of the NHS Health Check concluded that published attendance, uptake, and prescribing rates are all lower than originally anticipated, and data on impact are limited, with very few studies reporting the effect of attendance on health-related behaviours [12]. Moreover, this study also found the uptake of the NHS Health Check to be relatively lower in those living in the most deprived areas. Other studies have also questioned the practicalities [13] and clinical effectiveness of this national prevention programme [14]. Hence, proactively seeking out people at risk of CVD in the community remains an unmet public health need.

By investigating the concentration of businesses and retail outlets that may reflect the state of peoples’ health in cities and towns, the Royal Society for Public Health (RSPH) published a league table of healthy and unhealthy shopping regions in the UK [15]. Measures were based on, for example, the presence of tanning salons, fast-food restaurants, bookmakers and payday lenders as indictors of ‘unhealthy’ retail outlets. The RSPH published these results as part of their initiative to reduce the negative influences on shopping areas. For example, the report aimed to promote the idea of a public health criterion to be a condition of licensing for all types of business.

We visited shopping centres in different locations in England to test a series of hypotheses on public engagement with our Pop-Up health check using the RSPH report results as a sampling frame. Primarily, our Pop-Up offered a free check for elevated intraocular eye pressure, a risk factor for the eye disease glaucoma [16] and this is the subject of another report. On 50% of the testing days, we offered a free BP check to investigate how this might encourage engagement with the eye health assessment. From this, we took the BP data to develop the hypothesis that the proportion of suspected cases of hypertension detected would vary by shopping centre location. More precisely, for this report, we hypothesised test results might be associated with a measure of the ‘unhealthiness’ of the shopping centre.


This was a prospective, cross-sectional study designed to capture BP measurements in people in the community using a Pop-Up in shopping centres across England. Our “Feeling the Pressure” Pop-Up was designed for use in covered areas (Fig. 1). The Pop-Up comprised two private testing areas and an open reception space designed to engage the public. The Pop-Up was assembled for two consecutive working days in different shopping centres across England during August 2016. All testing was performed by two optometrists assisted, in recruitment and administration, by assistants comprising volunteer undergraduate and postgraduate students. Primarily, the Pop-Up offered a free check on eye health. Additionally, on one of the two testing days in each centre the Pop-Up also offered a free BP check. In this report, we consider the BP data only.


“Feeling the Pressure” Pop-Up pictured in a shopping centre atrium in (a) Bristol (The Galleries, BS1 3XD), (b) Coventry (Lower Precinct, CV1 1NQ), (c) Cambridge (The Grafton Centre, CB1 1PS). The Pop-Up was also located (not pictured) in Preston (St Georges, PR1 2TU), Stoke-on-Trent (Intu Potteries, ST1 1PS), Northampton (Weston Favell, NN3 8JZ) and Nottingham (Intu Broadmarsh, NG1 7LB). (People pictured are assistants and team members.)

Our sampling of shopping centre locations attempted to follow the schema described in a recently published RSPH ( report ranking town/city centres based on the number and impact of the most harmful or unhealthy and the most beneficial or healthy businesses [15]. Four shopping centres were sampled from the reported top ten unhealthiest towns/cities. These were (with RSPH report ranking for most unhealthy town/city out of n = 70 towns/cities and initials of testing optometrists in parenthesis) in Preston (#1; LAE & DJT); Coventry (#3; LAE & PC); Northampton (#5; LAE & RS); Stoke-on-Trent (#9; LAE & DJT). Three shopping centres were sampled from the bottom of the list and, by implication, were amongst the top 15 healthiest towns/cities. These were in Nottingham (#55; LAE & RS); Bristol (#61; LAE & PC); Cambridge (#64; LAE & DJT). The sampling was purposeful but restricted by availability of shopping centres during the study period and logistics.

We determined our own unhealthy retail outlet score for each shopping centre based on a modified version of that used in the RSPH study. On the day of testing, the lead author (LAE) and two Pop-Up assistants surveyed all the retail outlets within the shopping centre by counting the number open to shoppers on the day of testing. They then established the retail outlets within each shopping centre which could be classed as one of four types: either a fast-food takeaway, a bookmaker, a tanning salon or a payday loan business, following the guidelines and descriptions used in the RSPH study. If there was any ambiguity about the nature of the retail outlet, as was the case for some counted as fast-food takeaways, then the notes (including photographs) collected on the day were reviewed by all authors and a consensus decision made. The number of these outlets as a proportion (percentage) of all retail outlets open on the day of testing within the shopping centre was then calculated to be our simple surrogate measure for the unhealthiness of the shopping centre. There are, however, some important differences between our own unhealthy retail outlet score and the one used in the RSPH study. In the latter, different scores, or weights, were ascribed to different types of retail outlet based on being negatively health prompting. The RSPH study also ascribed scores to retail outlets it defined as being positively health promoting.

People in each shopping centre were approached and consented to BP testing. Our approach to shoppers was opportunistic and did not allow for estimates of accurate response rates. We aimed to recruit people > 40 years but did not reject approaches from younger people. The examination was free. For this study, contact details, age and details of the participant’s General Practitioner (GP) were recorded. A short medical history was taken. BP was measured using a Panasonic EW3106 monitor (Panasonic; Osaka, Japan); a device approved by the British Hypertension Society (BHS; which meets the European Society of Hypertension accuracy levels [17]. All four optometrists (LAE; DJT; PC; RS) had training in good practice and competency for measuring BP under guidance of a lecturer in nursing at City, University of London. BP was measured after five minutes resting, with the participant sitting with their left arm supported at heart level. Care was taken to use an appropriate size cuff bladder. Everyone tested was given his or her BP measurement recorded on an information leaflet about BP specifically designed for this study. The outcome measure for this study was people with a BP of ≥140/90 mmHg on repeat testing. (For the repeat BP testing, we followed the NICE Clinical Guideline CG127 [18]. So, for example, if the second BP measurement was substantially different from the first, then a third measurement was taken with the lower of the last two measurements recorded.) For this report, we define these people as cases. For these cases, we also sent a referral note to their GP. Some participants were already aware of their elevated BP or were on BP-lowering treatment; these participants were still measured and classified as cases if their BP was ≥140/90 mmHg. Following relevant national guidelines, people with BP of > 180/110 mmHg were counselled on the urgency of their referral, reflected in a different GP letter in addition to a follow-up phone call to the individual. Anyone with BP > 210/120 mmHg was to be immediately directed to an Accident and Emergency department, facilitated by the Pop-Up assistants.

The research was approved by a university ethics committee and monitored by an advisory group comprising different stakeholders including members of the public. Written informed consent, according to the tenets of the Declaration of Helsinki, was obtained from each participant prior to examination. All participants were told the examination might give them useful information about their general health, but they were also advised that the Pop-Up examination was no substitute for an assessment by their GP; this information was conveyed verbally and stated clearly in the participant information sheet. Moreover, all participants were given an easy-to-read purpose written information leaflet (see Additional file 1) which was subject to scrutiny and approval by the advisory group and ethics committee. Data were recorded both manually and using a tablet computer on the day of testing. All information was anonymised, then subsequently transferred and stored onto a secure database held at the university.

Analysis of data centred on the proportion of cases as compared to all those who consented to their BP being measured in shopping centres pooled across the four unhealthy and three healthy locations. We also tested for univariate association between our shopping centre unhealthiness measure and the proportion of cases across the seven shopping centres. All data analysis was carried out in Microsoft Excel and R (


In total, 199 people (48% male) were examined in the four unhealthy locations over four days and 152 people (52% male) were examined in the three healthy locations over three days. The two samples examined had almost identical age distributions: median (10th, 25th, 75th, 90th percentile) age was 56 (28, 41, 70, 76) and 56 (27, 40, 68, 75) years for the unhealthy and healthy locations respectively.

Number of people tested and cases (people flagged with a BP of ≥140/90 mmHg on repeat testing) identified at each shopping centre is given in Table 1. For our main outcome we detected 45 (22.6%) and 20 (13.1%) cases in the unhealthy and healthy locations respectively. The difference in the proportion of cases indicates a statistically significant relative risk (1.72; p = 0.03). These results suggest that a person tested in an unhealthy shopping region is 72% (95% confidence interval: 6 to 278%) more likely to be tested positive as a case than a person tested in a healthy shopping region.

Table 1 Number of people tested and cases identified in each shopping centre with RSPH report ranking for most unhealthy town/city out of n = 70 towns. In the column of cases, the figure in parenthesis is the number of people who were already aware of having elevated BP, or self-reported some history of issues with elevated BP

Around one half of all cases were already aware of having elevated BP, or self-reported some history of issues with elevated BP (Table 1). Four people recorded BP > 180/110 mmHg and these were all recorded in the shopping centres in the unhealthy locations. There were no instances of a person having a BP > 210/120 mmHg.

As would be expected, our local measure of percentage of unhealthy retail outlets within each shopping centre aligned closely with the observations in the RSPH survey. For example, 34 retail outlets out of a total of 179 (19.0%) were identified to be either a fast-food takeaway, a bookmaker, a tanning salon or a pay-day loan business in our four shopping centres sampled from unhealthy locations. (See Fig. 2 for numbers by individual shopping centre.) This estimate was significantly lower (6/109; 5.5%) in our three shopping centres in healthy regions. This equates to more than a threefold difference (95% confidence interval: 1.5 to 7.9). One shopping centre in Cambridge had none of these ‘unhealthy’ retail outlets. Conversely more than one quarter of the retail outlets in the shopping centre in Northampton were, remarkably, either a fast-food takeaway, a bookmaker, a tanning salon or a payday loan business.

Fig. 2

Relationship between percentage of cases detected and percentage of unhealthy retail outlets (fast-food takeaways; bookmakers; tanning salons; payday loan businesses) within shopping centres. Fractions in parenthesis are (number of unhealthy retail outlets/total number of outlets) for each shopping centre

Our local measure of percentage of unhealthy retail outlets within the shopping centre was associated with the detection rate of cases and this was statistically significant (R2 = 0.61; p = 0.04; Fig. 2).


By surveying the retail outlets that may reflect the state of peoples’ health in cities and towns, the RSPH published a league table of healthy and unhealthy shopping regions [15]. In our study, we found a person volunteering to be tested in a heath check Pop-Up in one of the unhealthy regions defined by the RSPH report is more likely to have suspected or diagnosed elevated BP compared to an age-similar person tested in a healthy town/city and this is our principal finding. Moreover, a measure of unhealthy retail outlets within a shopping centre was significantly associated with detection rate of suspected or diagnosed elevated BP in our sample. In other words, the proportion of fast-food takeaways, bookmakers, tanning salons and payday loan outlets within a shopping centre is related to the number of cases of elevated BP in people volunteering to be examined as part of a Pop-Up health check conducted in the shopping centre. Our findings add to the knowledge of potential methods of assessing people at risk of hypertension and reveal an interesting link to location of testing.

Relationships between shopping environment and health have been documented in the research literature. For example, data from a population health survey of 2900 adults was linked with geographic measures of access to food retailers in Edmonton in Canada. Results indicated the ratio of fast-food restaurants and convenience stores to grocery stores and produce vendors near people’s homes was related to likelihood of being obese [19]. Other research from the United States supports the claim that access to fast-food restaurants is associated with obesity among adults [20], excess weight gains over time [21] as well as insulin resistance [22]. There is also good evidence to show that excessive use of fast-food restaurants is associated with higher BMI in children in the UK [23]. The RSPH report highlighted the importance of ensuring retail areas encourage healthy lifestyles and suggested businesses such as fast-food outlets, betting shops, and payday lenders should be unable to cluster in areas of high deprivation [15]. Therefore, we believe our measure of an unhealthy shopping environment to be a reasonable one. For example, payday lending is a contemporary public health concern because of the vulnerability of the populations using these lenders and the documented detrimental effect that financial difficulties can have on mental and physical health [24]. Moreover, there is a strong association between a profusion of betting shops and problems with gambling and poor health indices [15]. Sunbed use is associated with a significant increase in risk of melanoma [25] and at least one systematic review has shown that the typical sunbed user is more likely to have an unhealthy diet, smoke and drink alcohol more frequently than a non-user [26].

To our knowledge the idea of a Pop-Up health check for BP, set in a shopping centre, has not been previously explored. Pop-Up clinics have been proposed and examined for HIV testing [27] and there are several reports on the effectiveness of mobile health clinics designed to raise awareness and screen for a wide variety of conditions, such as, colorectal cancer [28], paediatric eye disorders [29] and general health in vulnerable populations [30]. Moreover, mobile health clinics are widely used in the US and, for example, one extensive study has found them to be effective for screening for suspect hypertension [31]. Interestingly, using the Pop-Up concept to improve public health has recently been extended to the idea of temporary urban Pop-Up parks designed to solve the limited access to public physical activity recreation spaces many urban residents face [32]. Our novel idea of a Pop-Up health check in a shopping centre certainly fits with a recent call by NHS England and Public Health England, urging council public health teams to organise BP check opportunities in public places [33].

Around one half of all cases reported in this study were already aware of having elevated BP, or self-reported some history of issues with elevated BP. The effect we detected between the unhealthy and healthy shopping regions could therefore be explained by differences in undiagnosed hypertension/suspected hypertension or be explained by differences in possible poor control of known hypertension/suspected hypertension; as likely, the effect could be explained by a combination of the two factors. Overall numbers were not substantial enough for us to make a distinction between these two factors. Yet this distinction is important. One centres on medication adherence and long-term management issues, whilst the other centres on detection. Both have substantial public health importance and their relationship with socioeconomic status should be studied further, as suggested by other reports [34].

There are some critical limitations to our observations. For example, there are ethnic differences in the prevalence of hypertension but we did not record or report our participants’ ethnicity. Prevalence of hypertension is raised in South Asian, Afro-Caribbean, and West African people in England and ethnicity is an important consideration in assessing BP measures in community-based studies [35]. We therefore cannot comment on a bias that might be introduced by some areas having higher prevalence of different ethnic groups compared to others. Similarly, a bias in our results may have been introduced by differences in levels of obesity between ‘healthy’ and ‘unhealthy’ locations or differences in ‘white coat’ hypertension whereby the clinical setting precipitates artificially elevated BP due to increased patient anxiety [36].

Furthermore, a diagnosis of elevated BP cannot be made from measurements at a single point in time. One author (LAE) performed most, but not all of the testing so our results might be limited by the use of different assessors. Nevertheless, other discrepancies in measurement from, for example, failure to position participants and their arms consistently would have been minimised by the identical testing environment afforded by the purpose-built Pop-Up. An unavoidable limitation of the results from our case finding exercise arises from only being able to assess individuals interested in having their BP measured. Moreover, we originally aimed to test only people who were > 40 years but the Pop-Up generated a lot of interest and we examined younger people too; consequently, around one quarter of our participants were younger than 40 years. Our study design meant our results are limited to observational associations. Moreover, our study did not have a longitudinal element where we could, for example, follow-up the suspected cases. In addition, whilst our unhealthy retail outlet score is based on a previous report [15] it is very much a surrogate measure and has not been validated in other studies.

There is more to understand about different ways to case-find suspect hypertension. A proven effective route is to create easily accessible testing opportunities such as in community settings or the workplace [37] [38]. There are other advantages to screening for hypertension away from a ‘white coat’ medical environment [36]. Of course, these forms of testing are still restricted to individuals who volunteer to have their BP measured and current evidence is insufficient to recommend specific approaches for community-based case finding for elevated BP [39]. Nevertheless, our study contributes a modest example of a new approach to assessing BP outside primary care. The health check Pop-Up also offers a way of educating the public about hypertension and BP. Our results also imply that an in situ public health check might benefit from a targeted strategy, not seen in current approaches [40]. We assessed 351 people in only 7 days of testing, a remarkable number given the tests of eye health carried out on the same day.


In conclusion, we demonstrate an intriguing relationship between detecting people with suspected elevated BP and the type and location of the shopping centre they were visiting. We speculate our results hint at strategies for targeted outreach testing and screening of BP that should be the subject of further investigation, potentially in the context of reducing health inequalities.



Blood pressure


General practitioner


National Health Service


Royal Society of Public Health


United Kingdom


  1. 1.

    Law MR, Morris JK, Wald NJ. Use of blood pressure lowering drugs in the prevention of cardiovascular disease: meta-analysis of 147 randomised trials in the context of expectations from prospective epidemiological studies. Bmj. 2009;338:b1665.

    CAS  Article  Google Scholar 

  2. 2.

    Qaseem A, et al. Pharmacologic treatment of hypertension in adults aged 60 years or older to higher versus lower blood pressure targets: a clinical practice guideline from the American College of Physicians and the American Academy of family physicians. Ann Intern Med. 2017;166(6):430–7.

    Article  Google Scholar 

  3. 3.

    Public Health England. High blood pressure: action plan - publications. 2017. Accessed 02 Oct 2018.

  4. 4.

    Hyejeong K, et al. Psychographic characteristics affecting behavioral intentions towards pop-up retail. Int J Retail Distrib Manag. 2010;38(2):133–54.

    Article  Google Scholar 

  5. 5.

    Micaela, S., The temporary store: a new marketing tool for fashion brands. J Fash Mark Manag, 2011. 15(2): p. 257–270.

  6. 6.

    Ryu JS. Consumer attitudes and shopping intentions toward pop-up fashion stores. J Glob Fash Market. 2011;2(3):139–47.

    Article  Google Scholar 

  7. 7.

    Centre for Economics and Business Research., Pop-Up retailing produced 2.1 billion in retail turnover in the past year. 2014. Accessed 11 Oct 2018.

  8. 8.

    Public Health England. NHS health checks: applying all our health. 2018 [cited 2018 1st October 2018].

  9. 9.

    Cochrane T, et al. NHS health checks through general practice: randomised trial of population cardiovascular risk reduction. BMC Public Health. 2012;12(1):944.

    Article  Google Scholar 

  10. 10.

    Collins GS, Altman DG. Predicting the 10 year risk of cardiovascular disease in the United Kingdom: independent and external validation of an updated version of QRISK2. BMJ. 2012;344:e4181.

    Article  Google Scholar 

  11. 11.

    Dalton AR, et al. Uptake of the NHS health checks programme in a deprived, culturally diverse setting: cross-sectional study. J Public Health (Oxf). 2011;33(3):422–9.

    Article  Google Scholar 

  12. 12.

    Martin A, et al. Delivery and impact of the NHS health check in the first 8 years: a systematic review. Br J Gen Pract. 2018;68(672):e449–59.

    Article  Google Scholar 

  13. 13.

    Mills K, et al. Views of commissioners, managers and healthcare professionals on the NHS health check programme: a systematic review. BMJ Open. 2017;7(11):e018606.

    Article  Google Scholar 

  14. 14.

    Artac M, et al. Uptake of the NHS health check programme in an urban setting. Fam Pract. 2013;30(4):426–35.

    Article  Google Scholar 

  15. 15.

    Royal Society of Public Health RSPH., Health on the High Street. 2015. Accessed 6 Jan 2018.

  16. 16.

    King, A., A. Azuara-Blanco, and A. Tuulonen, Glaucoma. BMJ: Br Med J, 2013. 346.

  17. 17.

    Bonso E, Dorigatti F, Palatini P. Validation of Panasonic EW3106 and EW3109 devices for blood pressure measurement according to the international protocol. Blood Press Monit. 2010;15(1):55–8.

    Article  Google Scholar 

  18. 18.

    National Institute for Health and Care Excellence. Hypertension in adults: diagnosis and management. 2016 1st October 2018].

  19. 19.

    Spence JC, et al. Relation between local food environments and obesity among adults. BMC Public Health. 2009;9:192.

    Article  Google Scholar 

  20. 20.

    Li F, et al. Built environment, adiposity, and physical activity in adults aged 50-75. Am J Prev Med. 2008;35(1):38–46.

    CAS  Article  Google Scholar 

  21. 21.

    Burgoine T, et al. Does neighborhood fast-food outlet exposure amplify inequalities in diet and obesity? A cross-sectional study. Am J Clin Nutr. 2016;103(6):1540–7.

    CAS  Article  Google Scholar 

  22. 22.

    Pereira MA, et al. Fast-food habits, weight gain, and insulin resistance (the CARDIA study): 15-year prospective analysis. Lancet. 2005;365(9453):36–42.

    Article  Google Scholar 

  23. 23.

    Fraser LK, et al. Fast food and obesity: a spatial analysis in a large United Kingdom population of children aged 13-15. Am J Prev Med. 2012;42(5):e77–85.

    Article  Google Scholar 

  24. 24.

    Richardson T, Elliott P, Roberts R. The relationship between personal unsecured debt and mental and physical health: a systematic review and meta-analysis. Clin Psychol Rev. 2013;33(8):1148–62.

    Article  Google Scholar 

  25. 25.

    Boniol M, et al. Cutaneous melanoma attributable to sunbed use: systematic review and meta-analysis. Bmj. 2012;345:e4757.

    Article  Google Scholar 

  26. 26.

    Schneider S, Kramer H. Who uses sunbeds? A systematic literature review of risk groups in developed countries. J Eur Acad Dermatol Venereol. 2010;24(6):639–48.

    CAS  Article  Google Scholar 

  27. 27.

    Gale M, et al. Lessons learnt from the first Australian ‘pop-up’ HIV testing site. Sex Health. 2014;11(6):585–6.

    Article  Google Scholar 

  28. 28.

    Naguib N, et al. An innovative solution to raise public awareness using a mobile colorectal clinic - the ‘bowel bus’. Int J Surg. 2017;39:188–91.

    CAS  Article  Google Scholar 

  29. 29.

    Diao W, et al. The effectiveness of a Mobile Clinic in Improving Follow-up eye Care for at-risk children. J Pediatr Ophthalmol Strabismus. 2016;53(6):344–8.

    Article  Google Scholar 

  30. 30.

    Gibson BA, et al. Accessibility and utilization patterns of a mobile medical clinic among vulnerable populations. Health Place. 2014;28:153–66.

    Article  Google Scholar 

  31. 31.

    Song Z, et al. Mobile clinic in Massachusetts associated with cost savings from lowering blood pressure and emergency department use. Health Aff (Millwood). 2013;32(1):36–44.

    CAS  Article  Google Scholar 

  32. 32.

    Salvo D, et al. Impacts of a temporary urban pop-up park on physical activity and other individual- and community-level outcomes. J Urban Health. 2017;94(4):470–81.

    Article  Google Scholar 

  33. 33.

    Triggle, N. Do NHS checks at shops and stadiums. 2017. Accessed 02 Oct 2018.

  34. 34.

    Leng B, et al. Socioeconomic status and hypertension: a meta-analysis. J Hypertens. 2015;33(2):221–9.

    CAS  Article  Google Scholar 

  35. 35.

    Lane D, Lip G. Ethnic differences in hypertension and blood pressure control in the UK. QJM. 2001;94(7):391–6.

    CAS  Article  Google Scholar 

  36. 36.

    O'Brien E, Beevers G, Lip GY. ABC of hypertension: blood pressure measurement. Part IV-automated sphygmomanometry: self blood pressure measurement. BMJ. 2001;322(7295):1167–70.

    CAS  Article  Google Scholar 

  37. 37.

    Kaczorowski J, et al. Improving cardiovascular health at population level: 39 community cluster randomised trial of cardiovascular health awareness program (CHAP). BMJ. 2011;342.

  38. 38.

    Caligiuri SPB, Austria JA, Pierce GN. Alarming prevalence of emergency hypertension levels in the general public identified by a hypertension awareness campaign. Am J Hypertens. 2017;30(3):236–9.

    PubMed  PubMed Central  Google Scholar 

  39. 39.

    Fleming S, et al. Self-screening and non-physician screening for hypertension in communities: a systematic review. Am J Hypertens. 2015;28(11):1316–24.

    Article  Google Scholar 

  40. 40.

    Dryden R, et al. What do we know about who does and does not attend general health checks? Findings from a narrative scoping review. BMC Public Health. 2012;12:723.

    Article  Google Scholar 

Download references


The authors thank Sarah Sowerby, Andrew Nicholson and Colm O'Connor, of Wordbird Healthcare Communications Agency ( for designing and creating the “Feeling the Pressure” theme and information leaflets. We also thank Bluedog Productions ( for building the Pop-Up and logistics. We also thank the volunteer recruitment assistants: Amy-Lee Bassage, Susan Bryan, Lucy Edwards, Lee Jones, Mandeep Kaur-Bains, Leanne McDonald and study optometrist Angharad Hobby.


This work was supported by an International Glaucoma Association (IGA)/College of Optometrists Award (funded by the IGA and administered by the IGA in conjunction with the College of Optometrists) and by an EAME regional funding grant from Allergan. Funders had no role in the design or outcomes of the study.

Availability of data and materials

The datasets generated and analysed during the current study are not publicly available due to confidentiality agreements with the participants.

Author information




DPC conceived the study. LAE, DJT, DFE and DPC designed the methods. LAE coordinated the study. LAE, DJT, PC and RS collected the data. LAE and DPC analysed the data and wrote the first draft of the report. All authors interpreted results, commented on drafts and approved the final version of the report.

Corresponding author

Correspondence to David P. Crabb.

Ethics declarations

Ethics approval and consent to participate

This study was conducted with the approval of the research and ethics committee of City, University of London. Written informed consent was obtained from participants.

Consent for publication

Authors and assistants featured in Fig. 1 all provided verbal consent for their photo to be published in this manuscript.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Additional file

Additional file 1:

Blood pressure leaflet. (PDF 1111 kb)

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Edwards, L.A., Campbell, P., Taylor, D.J. et al. Healthy shopper? Blood pressure testing in a shopping centre Pop-Up in England. BMC Public Health 19, 42 (2019).

Download citation


  • Hypertension
  • Blood pressure
  • Case finding
  • Screening
  • Public health