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First, changes in the number of non-alcoholic beverages sold per customer across all restaurants at 12 weeks and 6 months were explored. Second, these analyses were stratified by tertiles of baseline restaurant on-menu SSB sales per customer (low: n=12 restaurants; medium: n=13 restaurants; and high: n=12 restaurants) and assessed at 6 months only.Online VITTORIO VIRGILI Slingback block heel sandals Ht4x2M7xTd
lists the locations of included restaurants.

Statistical analysis

Changes in non-alcoholic beverage sales associated with the intervention in the ITS were modelled as an immediate step change in the log-transformed number of beverages sold per customer. The step change was defined as a categorical variable equal to zero before implementation (up to 31August) and one afterwards. This assumes an immediate and stable effect of the intervention. 21 We did not analyse changes in trends as the postintervention period was too short for meaningful interpretation.

Estimates using weekly data were adjusted for time trend in number of beverages sold per customer and estimates using 4 weekly data additionally adjusted for quarterly seasonal effects (see online supplementary appendix 3 ). Analyses of aggregated weekly data were conducted using simple linear regression as data were only available at the aggregate level (ie, for 37 restaurants combined). Analyses of 4 weekly data were conducted using a hierarchical multilevel model with restaurant-specific randomeffects in intercept and trend. We report robust standard errors to account for residual autocorrelation and clustering. Magnitude and statistical significance of the coefficient of the categorical variable was used to assess the changes associated with the intervention (see online supplementary appendix 3 for details on the model). Estimated coefficients were exponentiated and expressed as a percentage change in the number of beverages sold per customer. Sensitivity analyses were conducted that tested the robustness of the timing of the effect by varying the date of implementation to the month preceding and following introduction of the intervention (see online supplementary appendix 5 ).

In the 12 months prior to the introduction of the intervention 2058581 non-alcoholic beverages were sold within study-eligible restaurants, of which 38% (n=775 230) were SSBs. Table 1 shows the mean number of beverages sold per 4-weekly period in each category per restaurant and per customer. Before and after the introduction of the intervention, SSBs were the most commonly purchased non-alcoholic beverage per restaurant and per customer, followed by bottled water and diet cola. On a per-customer basis, after introduction of the intervention, an increase in the mean number of fruit juices (main menu) sold and reductions in the SSB, diet cola and children’s fruit juice categories were observed. Table 2 reports the mean number of newly introduced beverages (fruit spritz, children’s fruity water and children’s milk) sold per 4-weekly period by restaurant and by customer. Compared with existing beverages, overall sales of these new beverages were low.

Install a production-ready Mattermost system on 1 to 3 machines.

A complete Mattermost installation consists of 3 major components: a proxy server, a database server, and the Mattermost server. You can install all components on 1 machine, or you can install each component on its own machine. If you have only 2 machines, then install the proxy and the Mattermost server on one machine, and install the database on the other machine.

For the database, you can install either MySQL or PostgreSQL. The proxy is NGINX.


If you have any problems installing Mattermost, see the troubleshooting guide . To submit an improvement or correction, click Edit at the top of this page.

Install and configure the components in the following order. Note that you need only one database, either MySQL or PostgreSQL.

NGINX Configuration FAQ

Installing Ubuntu Server 16.04 LTS

Install the 64-bit version of Ubuntu Server on each machine that hosts one or more of the components.

To install Ubuntu Server 16.04:

Now that the system is up to date, you can start installing the components that make up a Mattermost system.

Install and set up the database for use by the Mattermost server. You can install either MySQL or PostgreSQL.

To install MySQL on Ubuntu Server 16.04:

sudo apt-get install mysql-server


During the install, you’ll be prompted to create a password for the MySQL root user. Make a note of the password because you’ll need it in the next step.

When prompted, enter the root password that you created when installing MySQL.

mysql> create user 'mmuser'@'%' identified by 'mmuser-password';


mysql> create user 'mmuser'@'' identified by 'mmuser-password';

This query grants the MySQL user we just created all privileges on the database for convenience. If you need more security you can use this query to grant the user only the privileges necessary to run Mattermost.

Log out of MySQL.

mysql> exit


If you have installed MySQL on its own server, you need to edit the file and comment out the using the symbol, then restart your sql server.

With the database installed and the initial setup complete, you can now install the Mattermost server.

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