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. 2020 Jun 11;23(14):2563–2570. doi: 10.1017/S136898002000083X

Food and beverage advertising in Hong Kong mass transit railway stations

Steven Ka Ho Lo 1, Billy Yin Sing O 1, Jimmy Chun Yu Louie 1,*
PMCID: PMC10200667  PMID: 32524925

Abstract

Objectives:

To examine the extent and characteristics of food and beverage (F&B) promotion in Hong Kong mass transit railway (MTR) stations in districts with different socioeconomic statuses (SES) and school density.

Design:

All advertisements located in the eight selected MTR stations were recorded by photographs or videos, and classified into F&B and non-F&B. The percentage of F&B advertisements and unhealthy F&B being promoted, and common persuasive marketing strategies used in F&B advertisements were compared between low v. high SES districts and school zones v. non-school zones.

Setting:

MTR stations in Hong Kong.

Participants:

Not applicable.

Results:

Of the 8064 advertisements documented, 861 (10·7 %) were F&B advertisements, promoting 1860 F&B items. More than half of the these were unhealthy foods. Stations in high SES districts or school zones tend to advertise more unhealthy items (high v. low SES: 55·8 v. 50·8 %, P = 0·049; school v. non-school: 60·8 v. 49·3 %, P < 0·001). More than one-third of the F&B advertisements recorded did not utilise any of those persuasive marketing techniques that were examined, and using models (13·9 %) or providing discounts (8·8 %) were the two most frequently used non-festival-related persuasive marketing strategies.

Conclusions:

Unhealthy F&B advertising in MTR stations is prevalent regardless of SES and school density, and persuasive marketing strategies were infrequently used. These suggest that a ban on unhealthy F&B advertising around schools or the use of persuasive marketing strategies alone would be ineffective in Hong Kong. To align with the recommendation from WHO, a universal ban of junk food advertising should be enacted.

Keywords: Food promotion, Mass transit railway station, Hong Kong


Previous studies suggest that junk food advertising is contributing to a rise in childhood obesity(1). It has been demonstrated that a high frequency of advertising in different media is likely to increase the awareness and appeal of the food brand and products, thus leading to a higher likelihood of purchase and consumption(2,3). Other studies also found that food advertising may predispose children and adolescents to regular consumption of unhealthy food(4), which may increase the risk of developing chronic diseases such as type 2 diabetes mellitus and CVD(5,6), as well as psychological issues related to obesity, such as lower self-esteem, behavioural problems and less social capability(7). However, such effects were not observed for adults based on a recent meta-analysis of eighteen studies(8).

Apart from advertising in popular media such as television, outdoor advertising is also considered an important avenue for food promotion. Given the very high utilisation rate of public transportation in Hong Kong and the shift to mass transit railways (MTR) as the backbone of transport systems during urban planning(9), advertising on buses and MTR is a prominent promotional plan(10). MTR advertising is promoted by local advertising agencies as the best out-of-home promotion in terms of its ability to reach highly educated passengers with higher personal incomes, a high variety of advertising formats with a visual impact, its close proximity to customers and high engagement(11). In fact, unlike TV advertising where there is usually only one primary target group, a diverse group of passengers in MTR stations favours advertisements with no specific target group, thereby maximising the promotional effect.

Results from previous studies examining the effect of socioeconomic statuses (SES) and school density on advertising placement in western countries were inconsistent(1215), suggesting that the placement of food and beverage (F&B) advertisement may be influenced by other factors such as infrastructure, layout of the venue, population density and town planning. Importantly, there is currently no relevant study in Asian countries or regions with densely populated urban districts and high utilisation of the MTR system, where both SES and school density were expected to influence advertisement placement. Therefore, the current study aimed to examine the extent and characteristics of F&B advertisements in a selected sample of Hong Kong MTR stations in districts of various SES and school densities, as well as to scrutinise whether the children or lower SES audience were specifically targeted.

Methods

Selection of mass transit railway stations

In the current study, eight MTR stations were chosen and classified into four categories: (i) high SES with school zone, (ii) low SES with school zone, (iii) high SES without school zone and (iv) low SES without school zone. Unlike other regions or cities where commuter train stations have a unidirectional passenger flow in peak hours(16), MTR plays an important role in daily commuting and connections among different districts. Therefore, in the current study ‘school zone’ was defined based on the connectivity of peripheral primary and secondary schools and the density in that particular district. Setting a circular area with a radius of 500 m in GeoInfo Map provided by the Lands Department of Hong Kong, with reference to the list of schools provided by the Education Bureau of Hong Kong(17), the number of schools (including kindergarten, primary, secondary and tertiary education institutes) was counted manually, and a school zone was defined as one with more than five schools (HKU, Kowloon Tong, Kowloon Bay and Tin Shui Wai), while a non-school zone was defined as one with fewer than five schools (Kwai Fong, Mong Kok, Ngau Tau Kok and Sheung Wan).

SES was primarily determined based on the median monthly household income of the population living adjacent to an MTR station. Based on the data of Census 2016, the median monthly household income of populations living around Kowloon Tong and HKU stations was $HK89 300 and $HK83 000, respectively(18). Mong Kok and Sheung Wan, although with lower median monthly household incomes of $20 000 and $26 000, respectively, are special cases as they are traditional business districts with many commercial buildings and mega-shopping malls, both contributing substantially to the patronage of MTR stations(19); both were classified under high SES in the current study. The other four stations selected had a median monthly household income under $HK50 000(18) with minimal economic activities, and were classified under low SES. Table 1 summarises the categorisation of these stations.

Table 1.

Socioeconomic status (SES) and school density classifications for the selected mass transit railway stations

School zone Non-school zone
High SES HKU Sheung Wan
Kowloon Tong Mong Kok
Low SES Kowloon Bay Kwai Fong
Tin Shui Wai Ngau Tau Kok

Data collection

The selected MTR stations were visited on three occasions – August 2018, February 2019 and March 2019 – for data collection, with the first two periods considered to reflect the mid-autumn and Chinese New Year seasonality effect, while the March collection was considered as a non-seasonal period. Photos and videos of all advertisements located in the MTR station area (escalator, platform, trackside, shops, paid and unpaid area and outside of stations, according to the official MTR station map) were taken. For digital promotion, an average of roughly 3 min of video was taken from each screen.

Data coding

To examine the characteristics of advertisements in the selected MTR stations, a coding protocol was developed with reference to the International Network for Food and Obesity/Non-Communicable Diseases Research, Monitoring and Action Support (INFORMAS) outdoor advertisement protocol(20) (see Appendix 1 in the online supplementary material). F&B were categorised into three groups – (i) core and healthy, (ii) non-core and unhealthy (F&B with high added sugars, saturated and/or trans-fat, salt or alcohol), and (iii) seasonal and special – according to the INFORMAS protocol with modifications to adapt to the local food culture. For example, the ‘seasonal and special’ category was made for traditional Chinese medicine and their processed products, which is rarely promoted in Australia and European countries, and for festival-related F&B, including mooncakes and Chinese New Year cake (Niangao). Since it is common in Hong Kong to advertise multiple products in a single advertisement, the number of F&B in a particular advertisement was also documented, and the healthiness of each product was individually determined and reported. The full breakdown of types of food products advertised in each of the data collection period, stratified by MTR stations, is provided in Appendices 2–4 in the online supplementary material.

Statistical analysis

All statistical analyses were performed in SPSS (version 25; IBM Corp.). Fisher’s exact test was used to test for differences in categorical outcomes, and one-way ANOVA was used to test for differences in the mean number of foods promoted per advertisement between high v. low SES and school zone v. non-school zone stations. A two-tailed P < 0·05 was considered statistically significant.

Results

Number of advertisements in selected mass transit railway stations

Table 2 shows the number of advertisements in the selected MTR stations for each period of collection along with the percentage of F&B advertisements. The total number of advertisements recorded was 8064, of which 10·7 % were food-related. In general, there were a higher proportion of F&B advertisements in the two seasonal periods (August 2018 and February 2019) compared with the non-seasonal period (March 2019). No statistically significant differences were observed between the mean percentage of F&B advertisements in high v. low SES stations (10·3 v. 11·7 %, P = 0·090) and school zone v. non-school zone stations (10·8 v. 10·5 %, P = 0·692).

Table 2.

Number and proportion of advertisements in selected mass transit railway (MTR) stations

MTR stations Number of advertisements
August 2018 February 2019 March 2019 Total
Total n Food Total n Food Total n Food Total n Food
n % n % n % n %
High SES school zones
 HKU 381 31 8·1 370 31 8·4 362 17 4·7 1113 79 7·1
 Kowloon Tong 288 59 20·5 655 88 13·4 669 47 7·0 1612 194 12·0
 Subtotal 669 90 13·6 1025 119 11·6 1031 64 6·2 2725 273 10·0
Low SES school zones
 Kowloon Bay 161 35 21·7 195 39 20·0 200 14 7·0 556 88 15·8
 Tin Shui Wai 181 8 4·4 218 26 11·9 240 18 7·5 639 52 8·1
 Subtotal 342 43 12·3 414 65 15·9 440 32 7·3 1195 140 11·7
High SES non-school zones
 Mong Kok 551 94 17·1 621 49 7·9 579 30 5·2 1751 173 9·9
 Sheung Wan 484 95 19·6 523 50 9·6 518 29 5·6 1525 174 11·4
 Subtotal 1035 189 18·3 1144 99 8·7 1097 59 5·4 3276 347 10·6
Low SES non-school zones
 Ngau Tau Kok 119 22 18·5 153 19 12·4 152 8 5·3 424 49 11·6
 Kwai Fong 149 19 12·8 130 18 13·8 165 15 9·1 444 52 11·7
 Subtotal 268 41 15·3 283 37 13·1 317 23 7·3 868 101 11·6
Total 2314 363 15·7 2865 320 11·2 2885 178 6·2 8064 861 10·7
High SES 1704 279 16·4 2169 218 10·1 2128 123 5·8 6001 620 10·3
Low SES 610 84 13·8 696 102 14·7 757 55 7·3 2063 241 11·7
P SES * 0·136 0·001 0·159 0·090
School zones 1011 133 13·2 1438 184 12·8 1471 96 6·5 3920 413 10·5
Non-school zones 1303 230 17·7 1427 136 9·5 1414 82 5·8 4144 448 10·8
P School 0·003 0·006 0·439 0·692

SES, socioeconomic status.

*

PSES tested using Fisher’s exact test for difference between high v. low SES stations.

PSchool tested using Fisher’s exact test for difference between stations in school zone v. non-school zone.

Types and number of foods and beverages advertised

Table 3 summarises the types of F&B advertised during the three data collection periods. Of the 1860 F&B being advertised in the selected MTR stations, more than half (54·5 %) were non-core and non-healthy foods, while only 43 % were core and healthy F&B. Seasonal and special foods accounted for only 2·5 % of food advertisements. Among core F&B, meat and meat alternatives were the most frequently advertised (17·3 %), followed by grains and bread (9·0 %) and healthy snacks (7·6 %). Sweet breads, cakes and pastries were the most frequently advertised non-core foods (18·3 %), followed by sugary drinks (8·8 %) and processed meat and meat alternatives (6·8 %).

Table 3.

Types of food products (n 1860) advertised stratified by socioeconomic statuses (SES) and school densities

Food sub-categories Proportion of food advertisements
Total High SES Low SES P SES * School zone Non-school zone P School
n % n % n % n % n %
Core 804 43·2 557 41·7 247 47·1 0·037 309 37·4 495 47·9 <0·001
 Grains and bread 167 9·0 118 8·8 49 9·4 0·719 68 8·2 99 9·6 0·328
 Fruits and fruit products 45 2·4 21 1·6 24 4·6 <0·001 12 1·5 33 3·2 0·015
 Vegetables and vegetable products 65 3·5 41 3·1 24 4·6 0·123 29 3·5 36 3·5 1·000
 Milk and dairy products 17 0·9 7 0·5 10 1·9 0·011 4 0·5 13 1·3 0·091
 Meat and meat alternatives 322 17·3 225 16·8 97 18·5 0·414 134 16·2 188 18·2 0·267
 Oil high in MUFA or PUFA 0 0·0 0 0·0 0 0·0 0 0·0 0 0·0
 Water 30 1·6 22 1·6 8 1·5 1·000 11 1·3 19 1·8 0·461
 Sugar-free drinks 17 0·9 16 1·2 1 0·2 0·054 6 0·7 11 1·1 0·475
 Healthy snacks 141 7·6 107 8·0 34 6·5 0·285 45 5·4 96 9·3 0·002
Non-core, unhealthy 1012 54·5 746 55·8 266 50·8 0·049 503 60·8 509 49·3 <0·001
 Processed grains 29 1·6 12 0·9 17 3·2 <0·001 22 2·7 7 0·7 <0·001
 Sweetened fruits and fruit products 0 0·0 0 0·0 0 0·0 0 0·0 0 0·0
 Processed vegetables and vegetable products 0 0·0 0 0·0 0 0·0 0 0·0 0 0·0
 Processed meat and meat alternatives 126 6·8 105 7·9 21 4·0 0·003 75 9·1 51 4·9 <0·001
 High-fat meat and meat alternatives 124 6·7 93 7·0 31 5·9 0·470 49 5·9 75 7·3 0·263
 Processed milk and dairy products 0 0·0 0 0·0 0 0·0 0 0·0 0 0·0
 Oil high in saturated and/or trans-fat 0 0·0 0 0·0 0 0·0 0 0·0 0 0·0
 Fast-food meals 32 1·7 22 1·6 10 1·9 0·694 10 1·2 22 2·1 0·152
 High-fat/deep-fried snacks 18 1·0 16 1·2 2 0·4 0·121 10 1·2 8 0·8 0·352
 High-sugar snacks 13 0·7 11 0·8 2 0·4 0·536 12 1·5 1 0·1 <0·001
 Other food/sauces high in fat and/or salt 111 6·0 87 6·5 24 4·6 0·128 46 5·6 65 6·3 0·555
 Full-fat drinks, ice creams and desserts 36 1·9 26 1·9 10 1·9 1·000 19 2·3 17 1·6 0·316
 Sweet breads, cakes and pastries 340 18·3 243 18·2 97 18·5 0·894 192 23·2 148 14·3 <0·001
 Sugar-sweetened drinks 164 8·8 119 8·9 45 8·6 0·856 54 6·5 110 10·6 0·002
 Alcohol 19 1·0 12 0·9 7 1·3 0·443 14 1·7 5 0·5 0·018
Seasonal and special foods 44 2·4 33 2·5 11 2·1 0·736 15 1·8 29 2·8 0·171
 Traditional Chinese dried seafood and tonic 20 1·1 20 1·5 0 0·0 0·002 0 0·0 20 1·9 <0·001
 Traditional Chinese medicine products 3 0·2 2 0·1 1 0·2 1·000 1 0·1 2 0·2 1·000
 Seasonal foods and/or items for special purposes 21 1·1 11 0·8 10 1·9 0·053 14 1·7 7 0·7 0·047
Total 1860 100 1336 100 524 100 827 100 1033 100
*

PSES tested using Fisher’s exact test for difference between high v. low SES stations.

PSchool tested using Fisher’s exact test for difference between stations in school zone v. non-school zone.

Stations in high SES districts or school zones tended to advertise more unhealthy items (high v. low SES: 55·8 v. 50·8 %, P = 0·049; school v. non-school zones: 60·8 v. 49·3 %, P < 0·001). Compared with low SES stations, high SES stations had a significantly higher proportion of F&B advertisements for processed meats and meat alternatives (7·9 v. 4·0 %, P = 0·003), traditional Chinese dried seafood and tonics (1·5 v. 0·0 %, P = 0·002), and lower F&B advertisements for fruits and fruit products (1·6 v. 4·6 %, P < 0·001), milk and dairy products (0·5 v. 1·9 %, P = 0·011) and processed grains (0·9 v. 3·2 %, P < 0·001). On the other hand, stations in school zones had a higher proportion of F&B advertisements for processed grains (2·7 v. 0·7 %, P < 0·001), processed meat and meat alternatives (9·1 v. 4·9 %, P < 0·001), high-sugar snacks (1·5 v. 0·1 %, P < 0·001), sweet breads (23·2 v. 14·3 %, P < 0·001), alcohol (1·7 v. 0·5 %, P = 0·018) and seasonal food and/or items for special purposes (1·7 v. 0·7 %, P = 0·003), and lower F&B advertisements for fruits and fruit products (1·5 v. 3·2 %, P = 0·015) and traditional Chinese dried seafood and tonic (0·0 v. 1·9 %, P < 0·001).

The majority of F&B advertisements promoted only one product (60·6 %), while around 15 % promoted four or more products in a single advertisement. There was no significant difference in the mean ± sd of products promoted per advertisement between low v. high SES stations (1·8 ± 1·1 v. 1·8 ± 1·1, PANOVA = 0·731), while F&B advertisements in school zones promoted slightly more products than those in non-school zones (1·9 ± 1·2 v. 1·7 ± 1·1, PANOVA = 0·043).

Marketing strategies used in food and beverage advertisements

The marketing strategies used in F&B advertisements are summarised in Table 4. More than one-third of advertisements did not employ any of those persuasive marketing techniques examined (36·4 %), while >30 % utilised festival-related strategies (31·7 %), and about 14 % used models. High SES stations had a higher proportion of F&B advertisements using models (15·7 v. 9·2 %, P = 0·015) and a lower proportion of advertisements using festival-related strategies (29·1 v. 38·5 %, P = 0·009) compared with low SES stations. A higher proportion of F&B advertisements in school zone stations utilised festival-related strategies (38·9 v. 25·1 %, P < 0·001), and a lower proportion of them offered discounts (5·6 v. 11·7 %, P = 0·002) than non-school zone stations. More F&B advertisements in non-school zone stations did not utilise any of those persuasive marketing techniques examined (39·9 v. 32·6 %, P = 0·028).

Table 4.

Persuasive marketing strategies used in food advertisements

MTR station Total n Persuasive marketing strategies used (%)
Models (people other than celebrities) Celebrities Cartoon characters Awards or sales statistics Festival-related Discounts Limited edition Game or lucky draw Loyalty programme None of these
High SES school zones
  HKU 79 12·7 3·8 0·0 1·3 44·3 8·9 0·0 2·5 0·0 26·6
 Kowloon Tong 194 16·0 6·7 0·5 0·5 29·9 4·6 0·0 3·1 0·0 38·7
 Subtotal 273 15·0 5·9 0·4 0·7 34·1 5·9 0·0 2·9 0·0 35·2
Low SES school zones
 Kowloon Bay 88 12·6 2·3 1·1 0·0 52·9 3·4 0·0 1·1 1·1 25·3
 Tin Shui Wai 52 2·0 17·6 0·0 0·0 41·2 7·8 0·0 0·0 0·0 31·4
 Subtotal 140 8·7 8·0 0·7 0·0 48·6 5·1 0·0 0·7 0·7 27·5
High SES non-school zones
 Sheung Wan 174 15·7 4·1 0·6 0·0 25·0 11·0 0·0 4·1 0·0 39·5
 Mong Kok 173 16·8 2·3 0·6 1·2 25·4 12·7 1·2 2·3 0·0 37·6
 Subtotal 347 16·2 3·2 0·6 0·6 25·2 11·9 0·6 3·2 0·0 38·6
Low SES non-school zones
 Kwai Fong 52 7·7 3·8 0·0 0·0 13·5 17·3 1·9 0·0 0·0 55·8
 Ngau Tau Kok 49 12·2 8·2 0·0 0·0 36·7 4·1 0·0 6·1 0·0 32·7
 Subtotal 101 9·9 5·9 0·0 0·0 24·8 10·9 1·0 3·0 0·0 44·6
Total 861 13·9 5·1 0·5 0·5 31·7 8·8 0·4 2·7 0·1 36·4
High SES 620 15·7 4·4 0·5 0·6 29·1 9·2 0·3 3·1 0·0 37·1
Low SES 241 9·2 7·1 0·4 0·0 38·5 7·5 0·4 1·7 0·4 34·7
 PSES* 0·015 0·120 1·000 0·581 0·009 0·501 1·000 0·347 0·279 0·580
School zones 413 12·9 6·6 0·5 0·5 38·9 5·6 0·0 2·2 0·2 32·6
Non-school zones 448 14·8 3·8 0·4 0·4 25·1 11·7 0·7 3·1 0·0 39·9
 PSchool 0·431 0·087 1·000 1·000 <0·001 0·002 0·250 0·408 0·480 0·028

MTR, mass transit railway; SES, socioeconomic statuses.

*

PSES tested using Fisher’s exact test for difference between high v. low SES stations.

PSchool tested using Fisher’s exact test for difference between stations in school zone v. non-school zone.

Discussion

This is the first study examining F&B advertisements in an MTR setting and the relationship among F&B advertising characteristics, SES and school density. Our results showed that F&B accounted for around 11 % of advertisements in the selected MTR stations, and >54 % of these were for non-core, unhealthy F&B. SES did not appear to strongly influence the placement of junk F&B advertising in Hong Kong, but more non-core F&B advertisements were seen in stations near school zones.

It is concerning to see that more than half of F&B advertisements recorded were promoting unhealthy F&B. Topping the list were items high in saturated fat, sugars and/or salt such as sugar-sweetened drinks, sweet breads, cakes and pastries and processed meat and alternatives, while healthy foods such as fruit and vegetables were infrequently promoted. This directly contradicts the WHO recommendation for reducing the marketing of these F&B items to reduce the consumption of unhealthy foods(21).

We also examined the relationship among SES, school density and types of F&B advertised. Contrary to two Australian studies where low SES areas were found to have a high proportion of food advertisements promoting unhealthy F&B(15,22), our results showed that stations in high SES districts had a higher average proportion of unhealthy F&B promotions than their low SES counterparts. Fruits and fruit products were more frequently promoted in low SES stations, while less processed meats were advertised. This suggests that the manufacturers of F&B may be considering factors other than just the SES of an area when making decisions on placing advertisements. On the other hand, stations in areas with a high density of schools tended to have a higher proportion of junk food advertisements, similar to the results of previous studies in other cities such as Vienna, Ulaanbaatar in Mongolia and Manila(23,24).

District-specific F&B promotions were prevalent in the selected stations, which could be due to the unique, high-density nature of the MTR and Hong Kong town planning in general. Some festival F&B promotions organised in a particular district were found during data collection. Some of the advertisements in Sheung Wan were promoting restaurants out of Hong Kong due to a close proximity to Hong Kong–Macau Pier. Also, fast-food restaurant promotions found in MTR stations generally point to large shopping centres nearby. These results highlight the unique nature of the advertising scene in Hong Kong MTR, which should be taken into account when formulating regulations on junk food advertising.

Another interesting finding is the infrequent use of common persuasive marketing strategies in advertisements. Studies have found that persuasive marketing strategies through television have a strong effect on influencing purchasing behaviour(25). While the general out-of-home environment may not be comparable with television, since the F&B products advertised in Hong Kong MTR stations may not be immediately available for purchase, an element of persuasiveness was assumed to exist in the advertisement. Surprisingly, more than one-third of F&B advertisements in the selected Hong Kong MTR stations did not utilise any of those persuasive marketing techniques examined. Our results may also not be generalisable due to the high proportion of advertisements using festival-related strategies. Apart from these, the most frequently used persuasive marketing strategies were models, discounts and celebrities. Cartoon characters were rarely used, which echoes our observation that marketing of unhealthy F&B products in Hong Kong MTR stations may not be directed at children and/or adolescents alone but at all patrons of the station to maximise the promotional effects.

We also observed a strong seasonality effect on F&B advertising in Hong Kong MTR stations, where more F&B advertisements were seen during the pre-mid-autumn festival and Chinese New Year season. The first attempt of recording advertisements was made in August 2018, which is a common promotion period for mid-autumn festival-related F&B products, while the second attempt was completed in February 2019, during which the Chinese New Year-related F&B products were commonly advertised. In most cases, F&B were only promoted in Hong Kong MTR stations due to festivals or special occasions or when a new product was being launched, which highlights the transient nature of Hong Kong outdoor advertising.

In Hong Kong, there is no relevant regulation regarding F&B promotion to children. Based on our finding that common persuasive marketing strategies were infrequently used in the MTR setting, when developing F&B advertising-related strategies, especially those specific to the MTR environment, policymakers in Hong Kong should consider a universal ban of junk food advertising rather than banning only persuasive marketing strategies targeting children/adolescents. A previous study has suggested that banning junk food advertisements can reduce the consumption of these unhealthy F&B(26). In a pioneering example, Transport for London restricted all junk food advertisements in London underground stations, train, tram and bus stops in February 2019, such that all promotions of F&B considered high in salt, sugar and fat are not permitted(27). The effect of such ban on curbing unhealthy food purchase and consumption is yet to be evaluated.

Our results should be interpreted with several limitations in mind. First, the MTR stations included were not randomly selected, and some of them were interconnected with other districts. The results may, therefore, not be generalisable, and our conclusions related to SES should be interpreted with caution. In future studies, more parameters should be considered when selecting stations to be audited. These include connectivity to other stations, as well as types and number of patrons (residents, employees and tourists). Second, as Hong Kong is a densely populated city with no clear boundary between industrial, commercial, residential and school areas – that is, all four could co-exist near a particular MTR station, hence affecting the patronage of the station – we were unable to rule out the potential confounding effect from non-school patronage, although the differences between school v. non-school zones appeared to be consistent across our sample. Future studies should take into account other factors that affect the patronage of MTR stations when clustering the stations for analysis. Third, we did not document other forms of persuasive marketing strategies such as nutritional claims, claims related to convenience or depiction of families and children, although a post hoc audit of pictures showed these were infrequently used in the sample. Lastly, the INFORMAS advertising protocol is designated for western countries. There is no relevant coding system for Chinese cuisine, and the complexity of identifying Chinese cuisine and ingredients complicates categorisation. Such a limitation can be tackled by developing a Chinese food-coding system. In addition, irregular but frequent rearrangement of advertisements was a significant problem during data collection, where unhealthy F&B appeared for a short period randomly, and compelling seasonal factors may result in an inconsistency of data collected at different periods. These could be minimised if regular data collection is performed, but this would be time-consuming. Furthermore, the high variety of advertisements in Hong Kong is problematic in the coding process. Some of the advertisements were non-food-related but used non-core and unhealthy F&B as background. This might indirectly influence the audience, but we were unable to assess this effect.

Conclusions

The current study provides important evidence of the high prevalence of unhealthy F&B advertising in Hong Kong MTR stations regardless of SES and school density. Surprisingly, persuasive marketing strategies were infrequently used. This suggests that a ban on unhealthy F&B advertising around schools or the use of persuasive marketing strategies alone would be ineffective in Hong Kong. To align with the WHO recommendation that children should be protected from the influence of outdoor advertisements, a universal ban of junk food advertising should be enacted in Hong Kong.

Acknowledgements

Acknowledgement: None. Financial support: The current research received no specific grant from any funding agency, commercial or not-for-profit sectors. Conflict of interest: There are no conflicts of interest. Authorship: S.K.H.L. collected and analysed the data, and wrote the first draft of the manuscript; B.Y.S.O. collected the data and assisted in data analysis; J.C.Y.L. designed and supervised the study, provided substantial inputs into the subsequent drafts of the manuscript. All authors read and approved the final manuscript. Ethics of human subject participation: Not applicable.

Supplementary material

For supplementary material accompanying this paper visit https://doi.org/10.1017/S136898002000083X.

S136898002000083Xsup.zip (59.5KB, zip)

click here to view supplementary material

References

  • 1.Russell SJ, Croker H & Viner RM (2019) The effect of screen advertising on children’s dietary intake: a systematic review and meta-analysis. Obes Rev 20, 554–568. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Folkvord F, Anschütz DJ, Boyland E et al. (2016) Food advertising and eating behavior in children. Curr Opin Behav Sci 9, 26–31. [Google Scholar]
  • 3.Powell LM, Szczypka G & Chaloupka FJ (2010) Trends in exposure to television food advertisements among children and adolescents in the United States. Arch Pediatr Adolesc Med 164, 794–802. [DOI] [PubMed] [Google Scholar]
  • 4.Ng SH, Kelly B, Se CH et al. (2015) Reading the mind of children in response to food advertising: a cross-sectional study of Malaysian schoolchildren’s attitudes towards food and beverages advertising on television. BMC Public Health 15, 1047. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Weihrauch-Blüher S & Wiegand S (2018) Risk factors and implications of childhood obesity. Curr Obes Rep 7, 254–259. [DOI] [PubMed] [Google Scholar]
  • 6.Malik VS, Fung TT, van Dam RM et al. (2012) Dietary patterns during adolescence and risk of type 2 diabetes in middle-aged women. Diabetes Care 35, 12–18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Banis HT, Varni JW, Wallander JL et al. (1988) Psychological and social adjustment of obese children and their families. Child Care Health Deve 14, 157–173. [DOI] [PubMed] [Google Scholar]
  • 8.Boyland EJ, Nolan S, Kelly B et al. (2016) Advertising as a cue to consume: a systematic review and meta-analysis of the effects of acute exposure to unhealthy food and nonalcoholic beverage advertising on intake in children and adults, 2. Am J Clin Nutr 103, 519–533. [DOI] [PubMed] [Google Scholar]
  • 9.Transport Department (Hong Kong) (2018) Annual Transport Digest 2018. https://www.td.gov.hk/mini_site/atd/2018/tc/index.html (accessed April 2019).
  • 10.Chan K & Fung MS (2013) Effectiveness of subway advertising in Hong Kong. JOMC 3, 757. [Google Scholar]
  • 11.JCDecaux (2018) MTR Advertising: Media Kit. http://www.jcdecaux-transport.com.hk/products/mtr-advertising/mtr-media-kit (accessed April 2019).
  • 12.Adams J, Ganiti E & White M (2011) Socio-economic differences in outdoor food advertising in a city in Northern England. Public Health Nutr 14, 945–950. [DOI] [PubMed] [Google Scholar]
  • 13.Yancey AK, Cole BL, Brown R et al. (2009) A cross-sectional prevalence study of ethnically targeted and general audience outdoor obesity-related advertising. Milbank Q 87, 155–184. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Maher A, Wilson N & Signal L (2005) Advertising and availability of ‘obesogenic’ foods around New Zealand secondary schools: a pilot study. N Z Med J 118, U1556. [PubMed] [Google Scholar]
  • 15.Sainsbury E, Colagiuri S & Magnusson R (2017) An audit of food and beverage advertising on the Sydney metropolitan train network: regulation and policy implications. BMC Public Health 17, 490. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Infrastructure Australia (2018) Outer Urban Public Transport – Improving accessibility in lower-density areas: Department of Infrastructure and Regional Development and Cities.
  • 17.Education Bureau (Hong Kong) (2018) School Lists by District. https://www.edb.gov.hk/en/student-parents/sch-info/sch-search/schlist-by-district/index.html (accessed April 2019).
  • 18.Census and Statistic Department (Hong Kong) (2015) 2016 Population By-Census Result: District Profile. https://www.bycensus2016.gov.hk/en/bc-dp.html (accessed April 2019).
  • 19.Wu X (2016) Hong Kong panel study of social dynamics (HKPSSD): research designs and data overview. Chin Sociol Rev 48, 162–184. [Google Scholar]
  • 20.Mackay S, Molloy J & Vandevijvere S (2017) INFORMAS protocol: outdoor advertising (school zones). 10.17608/k6.auckland.5701102.v2. [DOI]
  • 21.World Health Organization (2010) Set of recommendations on the marketing of foods and non-alcoholic beverages to children.
  • 22.Settle PJ, Cameron AJ & Thornton LE (2014) Socioeconomic differences in outdoor food advertising at public transit stops across Melbourne suburbs. Aust N Z J Public Health 38, 414–418. [DOI] [PubMed] [Google Scholar]
  • 23.Missbach B, Pachschwöll C, Kuchling D et al. (2017) School food environment: quality and advertisement frequency of child-oriented packaged products within walking distance of public schools. Prev Med Rep 6, 307–313. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Kelly B, King L, Jamiyan B et al. (2015) Density of outdoor food and beverage advertising around schools in Ulaanbaatar (Mongolia) and Manila (The Philippines) and implications for policy. Crit Public Health 25, 280–290. [Google Scholar]
  • 25.Cairns G, Angus K, Hastings G et al. (2013) Systematic reviews of the evidence on the nature, extent and effects of food marketing to children. A retrospective summary. Appetite 62, 209–215. [DOI] [PubMed] [Google Scholar]
  • 26.Dubois P, Griffith R & O’Connell M (2017) The effects of banning advertising in junk food markets. Rev Econ Stud 85, 396–436. [Google Scholar]
  • 27.Transport for London (2019) TfL Ad Policy: Approval Guidance – Food and Non-Alcoholic Drink Advertising. http://content.tfl.gov.uk/policy-guidance-food-and-drink-advertising.pdf (accessed April 2019).

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