Table 1.
Eligibility | Recruitment | Attrition and sample size* | Publication status | Effective Public Health Practice Project Quality Assessment Tool for quantitative studies† | |
---|---|---|---|---|---|
Randomised controlled trial‡ | |||||
Bacon and Krpan (2018), UK41 | Individuals had to be resident in the UK, have English as their first language, and not follow a diet precluding the choice of meat | Individuals were recruited through the Prolific Academic research platform | T1: n=564; attrition unknown§ | Peer reviewed publication | Medium |
Kongsbak et al (2016), Denmark42 | Individuals had to be male university students aged between 18 and 29 years old | Individuals were recruited through advertisement on social media and on Aalborg University campus | T1: n=65, attrition 0% | Peer reviewed publication | Medium |
Kunst and Hohle (2016), study 2b, Norway43 | Individuals had to be Americans from the USA | Individuals were recruited through Amazon Mechanical Turk | T1: n=101, attrition unknown§ | Peer reviewed publication | Low |
Kunst and Hohle (2016), study 5, Norway43 | NA | Individuals were recruited through Amazon Mechanical Turk | T1: n=190, attrition unknown§ | Peer reviewed publication | Low |
Kunst and Palacios Haugestad (2018), American sample, Norway44 | Individuals had to be Americans from the USA who consumed meat and were 18 years or older | Individuals were recruited through Amazon Mechanical Turk | T1: n=178, attrition unknown§ | Peer reviewed publication | Low |
Kunst and Palacios Haugestad (2018), Ecuadorian sample, Norway44 | Individuals had to be Ecuadorians who consumed meat and were 18 years or older | Individuals were recruited through snowball sampling on social networks | T1: n=183, attrition unknown§ | Peer reviewed publication | Low |
McClain et al (2013), USA45 | Individuals had to be 18–23 years old, have a meal plan with the residence dining hall, and eat at the dining hall at least three days per week | A convenience sample was recruited by approaching students who used one of the four participating cafeterias | T1: n=525 (individual responses), attrition NA | Peer reviewed publication | Strong |
Sorensen et al (2005), USA39 | Small businesses had to be manufacturing industries with 50–150 employees, with at least 25% of workers being first generation or second generation immigrants or people of colour, a turnover rate during the past year of less than 20%, and the capacity to decide to participate | Eligible small businesses were actively approached and asked to participate | T1: n=1740 (individual responses), attrition NA (8% of worksites withdrew) | Peer reviewed publication | Medium |
Vermeer et al (2010), The Netherlands46 | Individuals had to be 18 years or older | Individuals visiting a Dutch fast food outlet were approached and asked to participate in the study after they made their purchase | T1: n=137, attrition 9% | Peer reviewed publication | Medium |
Crossover randomised controlled trial‡ | |||||
Reinders et al (2017), The Netherlands47 | Individual meals had to be of the relevant menu items (eg, exclusion of vegetarian meals, child menus, and special offerings), coming from parties with fewer than 12 orders, and from customers who completed questionnaires | All eligible individual orders placed during the study period in participating restaurants were recorded; restaurants were actively approached for recruitment | T1: n=1006, attrition NA | Peer reviewed publication | Strong |
Rolls et al (2010), USA48 | Individuals had to be 20–45 years old, have a BMI between 18 and 40 kg/m2, regularly eat three meals per day, and like and be willing to eat all three foods served in the test meals; individuals were excluded if they were dieting to gain or lose weight, had food allergies or restrictions, were taking medications known to affect appetite, or were smokers, athletes in training, pregnant or breastfeeding, had symptoms of depression, or had disordered attitudes towards food | Individuals were recruited through advertising in local newspapers and university mailing lists | T1: n=48, attrition 0% | Peer reviewed publication | Medium |
Factorial randomised controlled trial‡ | |||||
Campbell-Arvai et al (2014), USA49 | Undergraduate students living on campus | Individuals were actively approached and invited to take part in the experiment upon entering the dining facilities on campus | T1: n=319, attrition 0% | Peer reviewed publication | Medium |
Multiple treatment reversal‡¶ | |||||
Stewart et al (2016), study 1, UK38 | University dining halls with appropriate booking systems | The staff of eligible university dining halls were actively approached; all bookings placed during the study were recorded | T1: n=5280 (individual orders), attrition NA | Unpublished | Medium |
Stewart et al (2016), study 2, UK38 | University dining halls with appropriate booking systems | The staff of eligible university dining halls were actively approached; all bookings placed during the study were recorded | T1: n=782 (individual orders), attrition NA | Unpublished | Medium |
Stewart et al (2016), study 3, UK38 | University dining halls with appropriate booking systems | The staff of eligible university dining halls were actively approached; all bookings placed during the study were recorded | T1: n=61 (individual orders), attrition NA | Unpublished | Medium |
Pre-post design‡ | |||||
Clark (2017), UK50 | Individuals had to be aged between 21–50 years, have a BMI of 18–28 kg/m2, be healthy men or women (premenopausal), have good spoken and written English, consume four to five portions of red or processed meat per week, not smoke, not have a chronic disease, not be pregnant or breast feeding, not use chronic medication (excluding over the counter medication and oral contraceptives), not have participated in other research 3 months before screening, and not have clinically significant findings at screening | Individuals were recruited through advertising in newspapers, on social media pages, and in different online and offline facilities of the University of Nottingham | T1: n=26, attrition 39·5%; T2: n=22, attrition 48·8% | Unpublished | Medium |
Flynn et al (2013), USA51 | Individuals had to have access to transport to attend study activities, be willing to try new recipes, and be contactable by telephone | Individuals were recruited through advertisement in and referral from emergency food pantries | T1: n=63, attrition 26% | Peer reviewed publication | Strong |
Holloway et al (2012), UK52 | Individuals had to consume meat at least four to five times weekly, be 18–30 years old, not take regular meals in halls of residence or not live with parents or partners, be free of chronic disease, and have a BMI of 22–27 kg/m2 | Individuals were recruited through a brief advertising presentation to around 350 students in Nottingham University | T1: n=19, attrition 27% | Unpublished | Medium |
NA=not available. BMI=body-mass index.
T1 and T2 respectively refer to the shortest and longest available post-intervention follow-up. This information refers to data underlying the analyses of meat demand.
The Effective Public Health Practice Project Quality Assessment tool for Quantitative Studies rating is based on study design, selection bias, confounders, blinding, data collection method, withdrawal, and dropouts. Studies with more than two weak ratings in the aforementioned dimensions were assigned a low overall rating, studies with one weak rating were assigned a medium overall rating, and studies with no weak ratings were assigned a strong overall rating.
The study design refers to the design underlying the main comparison reported in this review.
These studies used a one-off survey with an experimental component and might only have sourced data from participants who started and completed the survey. For these studies, we consider attrition to be unknown.
Multiple treatment reversal designs refer to experimental studies in which intervention periods and control periods are sequentially alternated over an extended time period.